{"id":"W3081716951","doi":"10.1080/2162402x.2020.1792038","title":"An integrated classifier improves prognostic accuracy in non-metastatic gastric cancer","year":2020,"lang":"en","type":"article","venue":"OncoImmunology","topic":"Gastric Cancer Management and Outcomes","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"MD Precision (Canada)","funders":"","keywords":"Medicine; Cancer; Classifier (UML); Oncology; Internal medicine; Artificial intelligence; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009633999,0.0002058826,0.0004806286,0.000229668,0.00003373793,0.00002410826,0.0002008963,0.00007974594,0.0004955545],"category_scores_gemma":[0.0003276858,0.0001699068,0.00006930219,0.0008492007,0.00009525692,0.0001614852,0.00006693428,0.000415381,0.00008659027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001612664,"about_ca_system_score_gemma":0.0002475596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006615071,"about_ca_topic_score_gemma":0.0001851911,"domain_scores_codex":[0.9986621,0.00006514983,0.0003609401,0.0003708099,0.0001353479,0.0004056852],"domain_scores_gemma":[0.9993264,0.000112113,0.0001226759,0.0002576776,0.00006675677,0.0001143928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001114249,0.000511741,0.4603666,0.0002688246,0.0003442103,0.0004799431,0.001644731,0.00006649803,0.04041421,0.0001259777,0.003720014,0.490943],"study_design_scores_gemma":[0.004526497,0.001857828,0.9701852,0.00009569945,0.0002260618,0.00002898255,0.001689836,0.003655227,0.0002424778,0.00003468464,0.01723598,0.0002215011],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872554,0.0008604258,0.0008585842,0.008641292,0.0003339083,0.0008509204,0.000008983407,0.0001181043,0.001072366],"genre_scores_gemma":[0.9949405,0.0003317322,0.001186078,0.002713735,0.0001088283,0.0001522772,0.00006135256,0.0000291492,0.0004764118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5098186,"threshold_uncertainty_score":0.6928597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03080169802572787,"score_gpt":0.3188286277955083,"score_spread":0.2880269297697804,"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."}}