{"id":"W3208670488","doi":"10.1136/oem-2021-epi.77","title":"O-321 Exploration of occupations as risk factors for lung cancer in multiple exposure hierarchical and penalization models","year":2021,"lang":"en","type":"article","venue":"Oral Presentations","topic":"Occupational and environmental lung diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lung cancer; Medicine; Logistic regression; Odds ratio; Cancer; Lasso (programming language); Internal medicine; Environmental health; Oncology; Statistics; Mathematics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003465649,0.00007458162,0.0001252282,0.00007407562,0.00009217355,0.00001230324,0.00002052466,0.00004050985,0.00014906],"category_scores_gemma":[0.0001988265,0.00006999967,0.00004931801,0.0001549305,0.00005083171,0.0004031687,0.00002017547,0.00005402073,5.374331e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000323122,"about_ca_system_score_gemma":0.00008657403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005237455,"about_ca_topic_score_gemma":0.0005194381,"domain_scores_codex":[0.9993355,0.0000486775,0.0002060703,0.0001657645,0.0001560104,0.00008802266],"domain_scores_gemma":[0.9995306,0.0001674989,0.00006337892,0.00008938856,0.00007769816,0.00007148765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001477171,0.0002531377,0.9620146,0.0000711854,0.00003878969,0.000001310266,0.0009873332,0.03294449,0.001273337,0.001444381,0.0002080319,0.0006157528],"study_design_scores_gemma":[0.001320642,0.00006608613,0.8591002,0.00004157214,0.0001530276,0.000001089057,0.0009672074,0.1324567,0.002009589,0.003757116,0.00004783633,0.00007892783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747705,0.0003287018,0.0230148,0.0004476366,0.00004296618,0.0004830485,0.0007522788,0.00001286477,0.0001471409],"genre_scores_gemma":[0.9960433,0.0002621062,0.001674741,0.00004118625,0.00002828399,0.0001703461,0.001474319,0.00001049032,0.0002952221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1029143,"threshold_uncertainty_score":0.2854503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06089181511543926,"score_gpt":0.3547010812162577,"score_spread":0.2938092661008184,"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."}}