{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001173726,0.0004733672,0.0009430903,0.00196285,0.0002818902,0.001261119,0.000333059,0.0005002295,0.001103494],"category_scores_gemma":[0.002045518,0.000114766,0.0006683478,0.00182195,0.0002550818,0.0006822607,0.0006801861,0.0006713226,0.0003598476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003379289,"about_ca_system_score_gemma":0.0003990596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006549878,"about_ca_topic_score_gemma":0.00121531,"domain_scores_codex":[0.9995489,0.0001381524,0.00004431673,0.00009628345,0.00008495543,0.00008745265],"domain_scores_gemma":[0.9990703,0.0003315944,0.0002453817,0.00007126835,0.0001417551,0.000139802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000828392,0.0001273665,0.9404197,0.00008116385,0.0003430424,0.0001241483,0.00005899931,0.0009001209,0.00968717,0.0001856169,0.0009831438,0.04626115],"study_design_scores_gemma":[0.00004095976,0.0005950917,0.9740277,0.00005829945,0.0007253329,0.0006397354,0.0003229557,0.01410617,0.004233768,0.002452986,0.002756935,0.000040012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896818,0.00251667,0.003111354,0.000889968,0.00009313055,0.00003212725,0.001769546,0.00007563803,0.001829875],"genre_scores_gemma":[0.9955978,0.0004136144,0.002052205,0.0002101783,0.00009572559,0.00001607894,0.001314966,0.00001385023,0.0002855468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00196285,"threshold_uncertainty_score":0.006207287,"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."}}