{"id":"W3164723138","doi":"10.1016/j.ygeno.2021.06.018","title":"Combining gene expression signature with clinical features for survival stratification of gastric cancer","year":2021,"lang":"en","type":"article","venue":"Genomics","topic":"Gastric Cancer Management and Outcomes","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Nomogram; Oncology; Receiver operating characteristic; Cohort; Internal medicine; Proportional hazards model; Cancer; Medicine; Bioinformatics; Biology; Computational biology","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":[0.0001582848,0.00008949011,0.0002656812,0.00004052305,0.00003862393,0.0000123793,0.0000589696,0.00007495634,0.00003332612],"category_scores_gemma":[0.00004189352,0.00007122582,0.00008333922,0.0001414662,0.00002974431,0.00002770652,0.00002759055,0.0001288342,5.212019e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004435473,"about_ca_system_score_gemma":0.000218537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001125356,"about_ca_topic_score_gemma":0.00004301799,"domain_scores_codex":[0.9992499,0.00002265113,0.0002449362,0.0002134558,0.0001360755,0.0001329182],"domain_scores_gemma":[0.9993351,0.00008631663,0.0001463383,0.0002168161,0.0001606584,0.00005473307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003348655,0.0005967593,0.4949288,0.0007749257,0.0007477662,0.00005118904,0.0007374655,0.001432048,0.3927543,0.001742459,0.01927328,0.08361236],"study_design_scores_gemma":[0.008988664,0.0007937647,0.8101907,0.0002305989,0.0008061826,0.00002501869,0.001329053,0.000357191,0.1627706,0.0002457598,0.01395007,0.0003123613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835833,0.001792337,0.01143014,0.001176384,0.000611189,0.0005595261,0.00005059563,0.00002926848,0.0007672188],"genre_scores_gemma":[0.9692519,0.0005413998,0.02764465,0.0002544424,0.0003739347,0.00003111896,0.0002017571,0.00002195809,0.001678885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.315262,"threshold_uncertainty_score":0.2904505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04303380381268024,"score_gpt":0.3330222840859667,"score_spread":0.2899884802732865,"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."}}