{"id":"W3009430946","doi":"10.1503/cjs.000319","title":"Evaluating the utility of computed tomography of the chest for gastric cancer staging","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Surgery","topic":"Gastric Cancer Management and Outcomes","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Radiology; Incidence (geometry); Univariate analysis; Lung cancer; Odds ratio; Cancer; Ascites; Retrospective cohort study; Internal medicine; Multivariate analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003269298,0.0004162238,0.0003560834,0.00273783,0.0002459663,0.001006008,0.0008547051,0.0004537842,0.00100151],"category_scores_gemma":[0.01638941,0.000226073,0.0004613127,0.002198702,0.0006673664,0.0006740254,0.0004969839,0.0004713163,0.0002337069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007850283,"about_ca_system_score_gemma":0.001113713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01168232,"about_ca_topic_score_gemma":0.02484232,"domain_scores_codex":[0.9985067,0.0005599397,0.0002072241,0.000098693,0.0004707266,0.0001566251],"domain_scores_gemma":[0.9917034,0.003915813,0.002254301,0.0002093478,0.001314965,0.0006021668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005395538,0.000005437438,0.9975744,0.00002220188,0.00001903174,0.0001221038,0.00003139276,0.00004300435,0.00006550355,0.000004554394,0.00005261019,0.002005794],"study_design_scores_gemma":[0.000006649917,0.0001279578,0.9964454,0.0000613755,0.0001070945,0.001578439,0.0003578281,0.0007657798,0.0001430145,0.00001925537,0.0003822541,0.000005030778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936488,0.004483469,0.0002343218,0.0001524226,0.00002022377,0.00002891034,0.0002222701,0.000009716629,0.001199754],"genre_scores_gemma":[0.9986008,0.0008798452,0.0002411771,0.00001596145,0.0000213978,0.000005142691,0.0001866788,0.000001843865,0.00004715094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01168232,"threshold_uncertainty_score":0.02322865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1613855957192404,"score_gpt":0.3306987202630406,"score_spread":0.1693131245438002,"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."}}