{"id":"W4256362552","doi":"10.26616/nioshpub2013147","title":"Use of workers' compensation data for occupational safety and health: proceedings from June 2012 workshop.","year":2013,"lang":"en","type":"report","venue":"","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto; Public Health Ontario","funders":"National Institute for Occupational Safety and Health; Council of State and Territorial Epidemiologists","keywords":"Workers' compensation; Compensation (psychology); Environmental health; Engineering; Environmental science; Psychology; Medicine; Social psychology","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":[0.03072216,0.001383592,0.0006771142,0.005536449,0.002344819,0.003386223,0.002325363,0.00248555,0.009169986],"category_scores_gemma":[0.02713845,0.0009830784,0.001174901,0.006927329,0.0004263849,0.001597473,0.003990347,0.002549685,0.00796679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005315328,"about_ca_system_score_gemma":0.02024536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.216941,"about_ca_topic_score_gemma":0.3008311,"domain_scores_codex":[0.9818535,0.003118159,0.001724733,0.0009858602,0.01044742,0.001870213],"domain_scores_gemma":[0.9653575,0.005807811,0.002476765,0.002042888,0.02132459,0.002990502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001814535,0.0001272124,0.009154153,0.0004679903,0.00003592751,0.00008235128,0.000447557,0.0001128606,0.0005229794,0.0003310325,0.9610009,0.02753548],"study_design_scores_gemma":[0.00005025401,0.0001123133,0.1578861,0.001198942,0.00007604284,0.000119459,0.00233989,0.0002586974,0.004578774,0.000319217,0.8329529,0.0001074763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01740653,0.009814196,0.007023158,0.06657455,0.009484563,0.003426688,0.7815202,0.001322894,0.1034272],"genre_scores_gemma":[0.05980993,0.009311273,0.01939955,0.01340409,0.002112739,0.006091702,0.6915584,0.0008988282,0.1974134],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.216941,"threshold_uncertainty_score":0.4313565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5304180770887323,"score_gpt":0.5493401505842982,"score_spread":0.01892207349556585,"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."}}