{"id":"W2143030284","doi":"10.1136/bmjopen-2013-003952","title":"What do measures of agreement (κ) tell us about quality of exposure assessment? Theoretical analysis and numerical simulation","year":2013,"lang":"en","type":"article","venue":"BMJ Open","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Exposure assessment; Cohen's kappa; Reliability (semiconductor); Context (archaeology); Kappa; Risk assessment; Population; Environmental epidemiology; Occupational medicine; Statistics; Occupational exposure; Environmental health; Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2018864,0.00143679,0.003394915,0.005719848,0.001522324,0.006781503,0.004330417,0.005526127,0.00421518],"category_scores_gemma":[0.7224572,0.001146042,0.003734288,0.003491974,0.01385821,0.01544845,0.005097008,0.003947364,0.0005597926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005794615,"about_ca_system_score_gemma":0.003832781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004522035,"about_ca_topic_score_gemma":0.001703927,"domain_scores_codex":[0.8024271,0.1559792,0.007732991,0.0119256,0.01930992,0.002625155],"domain_scores_gemma":[0.1413338,0.8087116,0.02136731,0.01708395,0.01036805,0.0011353],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001073911,0.000290187,0.07704742,0.002266866,0.002024802,0.0003062307,0.005491862,0.3147067,0.0006891479,0.4834861,0.004971172,0.1076456],"study_design_scores_gemma":[0.0001241794,0.0002820593,0.01236933,0.001100024,0.0002163434,0.0002723921,0.001312132,0.3180206,0.0008085429,0.6622425,0.003035233,0.0002167377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1109463,0.003980669,0.8590525,0.009767648,0.0003693753,0.0005856046,0.0006644193,0.0003545428,0.01427896],"genre_scores_gemma":[0.8634146,0.00103918,0.1325169,0.0008779865,0.0001855578,0.0009957956,0.0002405963,0.0001149835,0.0006143593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7981136,"threshold_uncertainty_score":0.9842161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.065835348349425,"score_gpt":0.42932276353475,"score_spread":0.363487415185325,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}