{"id":"W3081509725","doi":"10.1136/oemed-2020-106470","title":"Role of occupational exposures in lung cancer risk among women","year":2020,"lang":"en","type":"article","venue":"Occupational and Environmental Medicine","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail; Cancer Research Society","keywords":"Lung cancer; Medicine; Logistic regression; Population; Demography; Cancer; Multivariate analysis; Environmental health; Occupational medicine; Occupational exposure; Gerontology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007821468,0.0003583787,0.0002069415,0.000738934,0.0004255476,0.00070541,0.0004288586,0.0003742056,0.002461762],"category_scores_gemma":[0.002747859,0.0002173603,0.0003233089,0.0006091229,0.0005124572,0.0002537269,0.0002970233,0.0003074047,0.0001747347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009302948,"about_ca_system_score_gemma":0.001251998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07703476,"about_ca_topic_score_gemma":0.09326472,"domain_scores_codex":[0.9994753,0.0001638207,0.00001839648,0.00008601696,0.0001198093,0.0001366721],"domain_scores_gemma":[0.9991437,0.000269074,0.0003313077,0.00004147656,0.00009748114,0.0001168697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001211007,0.0000153053,0.9966869,0.00001959695,0.00007100603,0.00006776644,0.00006744434,0.00004774344,0.0002702736,0.00002437787,0.00004955625,0.002558855],"study_design_scores_gemma":[0.000004685289,0.00007237984,0.9991145,0.00001475727,0.00005821377,0.0001289067,0.00007274876,0.00009349734,0.0001199477,0.00002626228,0.0002922964,0.000001810016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938071,0.003933654,0.0002376804,0.0002752746,0.00001152963,0.00001413455,0.0002942781,0.00001048736,0.001415884],"genre_scores_gemma":[0.9990208,0.0004390336,0.00009558165,0.0000211802,0.00001065006,0.000004143432,0.00006710869,0.000001576557,0.0003400553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07703476,"threshold_uncertainty_score":0.1531727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009499509429297722,"score_gpt":0.2533501233634476,"score_spread":0.2438506139341499,"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."}}