{"id":"W2557976168","doi":"","title":"COST-EFFECTIVENESS OF LUNG CANCER SCREENING WITH LOW DOSE COMPUTED TOMOGRAPHY IN BRITISH COLUMBIA","year":2016,"lang":"en","type":"article","venue":"38th Annual North American Meeting of the Society for Medical Decision Making","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computed tomography; Lung cancer; Medicine; Lung cancer screening; Medical physics; Radiology; Oncology","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":[],"consensus_categories":[],"category_scores_codex":[0.001203993,0.000450004,0.0007584221,0.0009497427,0.0009823013,0.001614865,0.001807299,0.001108236,0.003066705],"category_scores_gemma":[0.009749362,0.0004255999,0.001036947,0.001799914,0.0006931502,0.0005077713,0.0009805453,0.001232885,0.0002027079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04179031,"about_ca_system_score_gemma":0.02400996,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9819435,"about_ca_topic_score_gemma":0.9882419,"domain_scores_codex":[0.9983444,0.0005809188,0.0001317998,0.0001244013,0.0003181015,0.0005003374],"domain_scores_gemma":[0.995721,0.001499458,0.0004312993,0.0001348292,0.001136199,0.00107712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006858781,0.001217115,0.9078974,0.000497755,0.001049402,0.000884594,0.0003494884,0.02681113,0.0007046971,0.001325794,0.01129216,0.04111168],"study_design_scores_gemma":[0.0006790506,0.0006916702,0.9681904,0.0003297067,0.0009504199,0.0002582946,0.001831734,0.02416476,0.000298138,0.0005957885,0.001907813,0.000102178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900932,0.001838858,0.00007940249,0.00216133,0.00004748833,0.00004251106,0.002037893,0.00001512391,0.003684245],"genre_scores_gemma":[0.996808,0.0007699094,0.00008767644,0.0002289482,0.000008131049,0.0000181384,0.0006795836,0.000004874028,0.001394668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04179031,"threshold_uncertainty_score":0.3032113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009928429956309938,"score_gpt":0.3118016933200521,"score_spread":0.3018732633637422,"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."}}