{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001625821,0.0006596706,0.001335101,0.00100009,0.0002622711,0.0009437428,0.0004774288,0.0005948123,0.0008124402],"category_scores_gemma":[0.002765721,0.0001734019,0.0006936507,0.0004872999,0.0001579818,0.0004844486,0.0006397598,0.0006883062,0.0004384822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003302777,"about_ca_system_score_gemma":0.0006644039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002357387,"about_ca_topic_score_gemma":0.002184396,"domain_scores_codex":[0.9994772,0.0001554617,0.00004650354,0.0001302196,0.0001116727,0.00007899338],"domain_scores_gemma":[0.9992363,0.0003582583,0.00009887858,0.00005930416,0.0001797322,0.00006743152],"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":[0.002223392,0.0009071553,0.3208792,0.0001837075,0.0006823012,0.0005778347,0.0001334903,0.2265,0.01520434,0.0006990739,0.008490409,0.423519],"study_design_scores_gemma":[0.00003384343,0.0001817895,0.01338126,0.00001646802,0.00009717341,0.00009877834,0.00001879993,0.9838951,0.001252111,0.0004047865,0.000606215,0.00001369567],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9119908,0.002344114,0.08084302,0.0007738078,0.0001954713,0.00009391983,0.0009824146,0.0009028199,0.001873625],"genre_scores_gemma":[0.9882683,0.0002108142,0.009783085,0.0000943784,0.00009561856,0.0000348989,0.0009963207,0.00002205183,0.0004945056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002357387,"threshold_uncertainty_score":0.008598268,"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."}}