{"id":"W2901104421","doi":"10.1177/1048291118810900","title":"Causality Advocacy: Workers’ Compensation Cases as Resources for Identifying and Preventing Diseases of Modernity","year":2018,"lang":"en","type":"article","venue":"NEW SOLUTIONS A Journal of Environmental and Occupational Health Policy","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Appeal; Compensation (psychology); Causality (physics); Public health; Environmental health; Audit; Business; Relevance (law); Public relations; Political science; Medicine; Psychology; Social psychology; Law; Accounting","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":[],"consensus_categories":[],"category_scores_codex":[0.0971719,0.0004998956,0.0006658162,0.004973918,0.01050942,0.01286913,0.00383969,0.02026594,0.01601414],"category_scores_gemma":[0.2397417,0.0007539921,0.000906049,0.001537277,0.01111428,0.01214309,0.01015964,0.01074343,0.001061819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005162086,"about_ca_system_score_gemma":0.0129714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00546296,"about_ca_topic_score_gemma":0.008278285,"domain_scores_codex":[0.9412197,0.03728255,0.002491121,0.002756387,0.0124549,0.003795314],"domain_scores_gemma":[0.7667246,0.2041573,0.008199214,0.007164721,0.009609954,0.004144209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001766576,0.0003002194,0.009246033,0.0002949261,0.00006616439,0.002252782,0.009978304,0.0007440571,0.001029031,0.7831349,0.09072292,0.102054],"study_design_scores_gemma":[0.0003677095,0.0003275514,0.009820106,0.001766745,0.0002162642,0.001395267,0.01357662,0.007334705,0.003347074,0.4809649,0.4806241,0.0002589396],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08208152,0.00599523,0.07283685,0.5852817,0.008407701,0.002211928,0.000184606,0.0004613322,0.2425391],"genre_scores_gemma":[0.8131099,0.00227826,0.04083838,0.08290473,0.005165584,0.001170684,0.0001013488,0.0001004089,0.05433069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0971719,"threshold_uncertainty_score":0.5139003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05311018770692388,"score_gpt":0.3801673481204109,"score_spread":0.327057160413487,"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."}}