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Measures of radioactivity: a tool for understanding statistical data analysis

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Paper breakdownThe authors' claims, conditions and measurements, as JSON Signed receiptProof this review has not been altered
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Vera Montalbano, Sonia Quattrini

Physics Education · Submitted 2 Jan 2012

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim The data are analyzed in order to understand the importance of statistical analysis in modern physics.

how it is stated · asserted 0.94 read the record →

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arXiv ID1201.0553 (version 1)
Pith IDJDJXLDVP, Pith's permanent record of this paper and its review
CitationSonia Quattrini, Vera Montalbano. "Measures of radioactivity: a tool for understanding statistical data analysis." arXiv:1201.0553 (2012). https://pith.science/paper/JDJXLDVP
Claim paper

The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

Open the compiled record

Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,429 input tokens, $0.0001 reported.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.05 · human participants 0.29 · controlled comparison 0.09 · randomized assignment 0.01 · states quantitative result 0.04 · compares with prior results 0.04 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

A learning path on radioactivity in the last class of high school is presented. An introduction to radioactivity and nuclear phenomenology is followed by measurements of natural radioactivity. Background and weak sources are monitored for days or weeks. The data are analyzed in order to understand the importance of statistical analysis in modern physics.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 A learning path on radioactivity in the last class of high school is presented. contribution 0.97 0.60 0.06 asserted 0.98
s1 An introduction to radioactivity and nuclear phenomenology is followed by measurements of natural radioactivity. method 0.67 0.49 0.04 asserted 0.98
s2 Background and weak sources are monitored for days or weeks. method 1.00 0.61 0.04 asserted 0.99
s3 The data are analyzed in order to understand the importance of statistical analysis in modern physics. interpretation 0.56 0.59 0.45 asserted 0.94

What kind of paper the classifier reports this is: method or tool 0.66 · evidence from observation or experiment 0.97.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

A learning path on radioactivity in the last class of high school is presented. An introduction to radioactivity and nuclear phenomenology is followed by measurements of natural radioactivity. Background and weak sources are monitored for days or weeks. The data are analyzed in order to understand the importance of statistical analysis in modern physics.

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