{"id":"W7136536376","doi":"10.6084/m9.figshare.4437401.v1","title":"Additional file 1: Table S1. of Lung cancer risk among workers in the construction industry: results from two case–control studies in Montreal","year":2015,"lang":"","type":"article","venue":"Figshare","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Odds; Odds ratio; Lung cancer; Table (database); Construction industry; Cancer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002539382,0.001387593,0.002117519,0.004277772,0.001003879,0.001234712,0.002793622,0.001026964,0.7215019],"category_scores_gemma":[0.04202489,0.000830083,0.001407052,0.009295888,0.0002897476,0.001246233,0.0007818174,0.0008217632,0.03473528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002587844,"about_ca_system_score_gemma":0.005169489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1129828,"about_ca_topic_score_gemma":0.1555519,"domain_scores_codex":[0.9985985,0.000276943,0.0003284003,0.0003116048,0.00029533,0.0001891363],"domain_scores_gemma":[0.970076,0.02122108,0.003020476,0.001218045,0.003910775,0.0005536597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0008735623,0.0001552505,0.01892703,0.01556823,0.0005216405,0.0001628921,0.0001787802,0.0006434065,0.0001259562,0.0007135253,0.9500906,0.01203921],"study_design_scores_gemma":[0.02219572,0.0009174432,0.3697033,0.0264582,0.003426088,0.001390682,0.001602283,0.004997427,0.0009047377,0.00653206,0.5614539,0.0004181899],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004928008,0.0000960647,0.0001542223,0.00008482954,0.00001700546,0.0002049803,0.9984446,0.00005747812,0.0004479865],"genre_scores_gemma":[0.03114869,0.0008564031,0.005465297,0.0007398705,0.0002034621,0.009297297,0.9400597,0.0003639468,0.01186535],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8870173,"threshold_uncertainty_score":0.3972437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04376784398765701,"score_gpt":0.3029569271223683,"score_spread":0.2591890831347113,"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."}}