{"id":"W4317678583","doi":"10.1097/coc.0000000000000963","title":"The Effect of Biomarkers on Clinical Trial Risk in Gastric Cancer","year":2022,"lang":"en","type":"article","venue":"American Journal of Clinical Oncology","topic":"Gastric Cancer Management and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Cancer; Internal medicine; Oncology; Clinical trial","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3245224,0.001108563,0.001953413,0.004437865,0.001052557,0.00510319,0.001675811,0.00331944,0.003527652],"category_scores_gemma":[0.6135131,0.0007761528,0.003815684,0.004312865,0.002518816,0.006862559,0.003222228,0.003590476,0.0007361686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001691182,"about_ca_system_score_gemma":0.002305456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000405949,"about_ca_topic_score_gemma":0.0004416634,"domain_scores_codex":[0.6372653,0.2833962,0.03142158,0.01312305,0.03147458,0.00331931],"domain_scores_gemma":[0.152736,0.6497992,0.1635379,0.01805749,0.01104248,0.004826832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01918611,0.0002698051,0.7400858,0.002061879,0.005405363,0.0003503305,0.0006181301,0.005189883,0.0008106478,0.004395082,0.003426999,0.2181999],"study_design_scores_gemma":[0.002194103,0.02259069,0.8728192,0.002557057,0.01044227,0.005053694,0.0004998533,0.03917469,0.005909962,0.01491873,0.02339599,0.000443691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.671581,0.1730603,0.1028068,0.0197423,0.001374529,0.004319781,0.002158012,0.001058686,0.02389864],"genre_scores_gemma":[0.9840413,0.002917499,0.009218016,0.001448337,0.0005958249,0.0007565577,0.0003012274,0.0001326394,0.0005886876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3245224,"threshold_uncertainty_score":0.8329841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07262873180167413,"score_gpt":0.491186934220793,"score_spread":0.4185582024191188,"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."}}