{"id":"W2160653301","doi":"10.1093/jnci/djr173","title":"Lung Cancer Risk Prediction: Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial Models and Validation","year":2011,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":310,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"National Cancer Institute; Division of Cancer Prevention, National Cancer Institute; U.S. Department of Health and Human Services","keywords":"Medicine; Lung cancer; Internal medicine; Logistic regression; Population; Body mass index; Oncology; Environmental health","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":[0.09978875,0.001911614,0.002934758,0.001115102,0.0006859125,0.001926081,0.002592372,0.001549529,0.004067101],"category_scores_gemma":[0.08659669,0.0007676914,0.003055817,0.001517173,0.001060661,0.001225497,0.001928826,0.002427633,0.0008550778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009459867,"about_ca_system_score_gemma":0.002644216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006444819,"about_ca_topic_score_gemma":0.003398921,"domain_scores_codex":[0.9515878,0.04456028,0.0008033958,0.001670612,0.0008621513,0.0005158446],"domain_scores_gemma":[0.9306573,0.05759631,0.003959905,0.004473846,0.002462603,0.0008499986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.05765126,0.002131283,0.4061913,0.002876124,0.01952298,0.000650054,0.0005614161,0.3605976,0.0005926152,0.005828241,0.02590187,0.1174954],"study_design_scores_gemma":[0.006678601,0.003120302,0.05408271,0.0006775643,0.005984813,0.0003514391,0.00009970136,0.9111967,0.00049073,0.01375236,0.003451227,0.0001137048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8418317,0.01611849,0.1130463,0.005935312,0.0008717411,0.004530314,0.01076301,0.001111407,0.005791736],"genre_scores_gemma":[0.9674408,0.001454576,0.01863883,0.0005943935,0.0002437723,0.002802982,0.006426225,0.00009331777,0.002305013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09978875,"threshold_uncertainty_score":0.5277396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06142667784601338,"score_gpt":0.340982501764967,"score_spread":0.2795558239189536,"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."}}