{"id":"W6902471499","doi":"10.6084/m9.figshare.7490180","title":"Additional file 2: of Risk of lung cancer in relation to various metrics of smoking history: a case-control study in Montreal","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lung cancer; Respondent; Logistic regression; Table (database); Association (psychology); Relation (database); Risk factor","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":[0.001099064,0.0008740574,0.0011791,0.002802308,0.001341655,0.0008775289,0.002217072,0.0007486548,0.6247737],"category_scores_gemma":[0.02073221,0.0005320967,0.001332041,0.005231258,0.0002457014,0.0006826945,0.0005682709,0.0005617731,0.02127238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002386042,"about_ca_system_score_gemma":0.003139932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.348762,"about_ca_topic_score_gemma":0.3559774,"domain_scores_codex":[0.9993056,0.0001367512,0.00009985205,0.0001823619,0.0001390694,0.0001364803],"domain_scores_gemma":[0.9906799,0.005273074,0.000969,0.0008163861,0.001818499,0.0004431563],"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":[0.0008384546,0.0002042848,0.1301409,0.002899204,0.0005051696,0.0004571445,0.0003656634,0.0006247025,0.0003203853,0.0006671168,0.8464718,0.01650519],"study_design_scores_gemma":[0.003859385,0.0003748342,0.8588454,0.002402095,0.0009885121,0.0009438765,0.0008923825,0.002185514,0.0006240431,0.001027308,0.127684,0.0001727759],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.004293627,0.00006741454,0.0003436553,0.0001375667,0.00002417605,0.0002391049,0.9934088,0.0001353301,0.001350254],"genre_scores_gemma":[0.1894087,0.0004563972,0.005261725,0.0007443785,0.0001708824,0.005160469,0.766416,0.0005233477,0.03185799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.651238,"threshold_uncertainty_score":0.693464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03383110913550252,"score_gpt":0.2940920006345295,"score_spread":0.260260891499027,"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."}}