{"id":"W4252955739","doi":"10.21203/rs.2.13887/v4","title":"A Probabilistic Approach for Economic Evaluation of Occupational Health and Safety Interventions: A Case Study of Silica Exposure Reduction Interventions in the Construction Sector","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cancer Care Ontario; Institute for Work & Health","funders":"","keywords":"Psychological intervention; Probabilistic logic; Reduction (mathematics); Occupational safety and health; Business; Environmental health; Computer science; Political science; Medicine; Nursing; Artificial intelligence","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":[0.04023859,0.002573521,0.003942451,0.003713401,0.00147863,0.004104324,0.003860179,0.004595617,0.01179996],"category_scores_gemma":[0.09144586,0.002369402,0.003735245,0.003152975,0.003026719,0.00537011,0.002955918,0.00393588,0.0002750831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006005716,"about_ca_system_score_gemma":0.005737149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01842522,"about_ca_topic_score_gemma":0.0129235,"domain_scores_codex":[0.9672709,0.02891047,0.0005947083,0.001097336,0.001228335,0.0008982462],"domain_scores_gemma":[0.8428133,0.152222,0.002086168,0.001172322,0.001162369,0.0005438474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001333635,0.0009311067,0.004863587,0.0008054968,0.0008797102,0.0005487149,0.000416316,0.8405554,0.0004326515,0.1188443,0.001361436,0.02902763],"study_design_scores_gemma":[0.0003788015,0.000497524,0.002143505,0.0001029307,0.000378003,0.0001505934,0.0003293968,0.9084395,0.0001490738,0.08644509,0.0009118731,0.00007380222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2447829,0.003440911,0.7221735,0.004693375,0.00022353,0.00295715,0.001859285,0.0002039916,0.01966537],"genre_scores_gemma":[0.8757625,0.001429705,0.1158774,0.0002057397,0.0001033944,0.00252637,0.000388812,0.00006550261,0.003640619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04023859,"threshold_uncertainty_score":0.2128046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.56733786654222,"score_gpt":0.6155526821746493,"score_spread":0.04821481563242935,"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."}}