{"id":"W2885672474","doi":"10.1093/annweh/wxy074","title":"Agreement in Occupational Exposures Between Men and Women Using Retrospective Assessments by Expert Coders","year":2018,"lang":"en","type":"article","venue":"Annals of Work Exposures and Health","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Cancer Society; McGill University; Institut de recherche Robert-Sauvé en santé et en sécurité du travail; Cancer Research Society; McGill University Health Centre; Université de Montréal","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Cancer Research Institute; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail; Canadian Breast Cancer Research Alliance; Fonds de Recherche du Québec - Santé; Breast Cancer Alliance","keywords":"Kappa; Medicine; Intraclass correlation; Occupational exposure; Cohen's kappa; Demography; Intensity (physics); Occupational safety and health; Statistics; Environmental health; Mathematics; Psychometrics; Clinical psychology; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0368831,0.0005565653,0.0007968036,0.004547571,0.0005861899,0.001385841,0.001045451,0.0005579862,0.001537442],"category_scores_gemma":[0.08733445,0.0005201602,0.001057841,0.00173959,0.00107169,0.0009904522,0.002344852,0.0003881556,0.0006069671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00062376,"about_ca_system_score_gemma":0.0006863431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006909137,"about_ca_topic_score_gemma":0.009058419,"domain_scores_codex":[0.9574283,0.01976771,0.006539381,0.006373448,0.009039877,0.0008512303],"domain_scores_gemma":[0.917151,0.0377754,0.01756408,0.00870735,0.0180413,0.0007608834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004941646,0.00003000037,0.9646171,0.0003055739,0.0004876025,0.00012004,0.005825173,0.000558085,0.001324294,0.0002256976,0.0006986296,0.02531375],"study_design_scores_gemma":[0.00003160965,0.000308188,0.9871262,0.0002546952,0.0002211769,0.0004793303,0.003734231,0.002372462,0.002241982,0.0005372777,0.002622944,0.00006985154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609239,0.001246399,0.02943201,0.0001112995,0.00008141281,0.0004168306,0.001851251,0.0001313518,0.005805575],"genre_scores_gemma":[0.9844796,0.0004310935,0.01173685,0.0001080621,0.00004709833,0.000418393,0.001697366,0.00003781827,0.001043809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0368831,"threshold_uncertainty_score":0.1950588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1178660505360823,"score_gpt":0.4331903484940866,"score_spread":0.3153242979580042,"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."}}