{"id":"W4402395951","doi":"10.1016/j.trsl.2024.09.001","title":"Diagnostic, prognostic, and predictive biomarkers in gastric cancer: from conventional to novel biomarkers","year":2024,"lang":"en","type":"review","venue":"Translational research","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Shahid Beheshti University of Medical Sciences; Mashhad University of Medical Sciences","keywords":"Medicine; Cancer; Biomarker; Intensive care medicine; Stage (stratigraphy); Disease; Oncology; Internal medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001182593,0.0004363464,0.0006426392,0.001155387,0.000117721,0.0001275039,0.0004669609,0.000606339,0.0002196449],"category_scores_gemma":[0.0008878213,0.0004162119,0.0002794376,0.00149368,0.0002811624,0.000008972672,0.0003137988,0.000921396,0.0001109766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002262654,"about_ca_system_score_gemma":0.002255735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004404249,"about_ca_topic_score_gemma":0.0004360832,"domain_scores_codex":[0.9956107,0.0004262233,0.0005956986,0.001336203,0.001274679,0.0007565702],"domain_scores_gemma":[0.9980136,0.0008661276,0.00006310041,0.0003580854,0.0003242854,0.0003747618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009762483,0.0005781448,0.0001663475,0.008274052,0.005986049,0.0001994998,0.0001381036,0.0001763398,0.008162146,0.0007067948,0.01266595,0.9619703],"study_design_scores_gemma":[0.001386103,0.0004778537,0.0004987845,0.0105434,0.0005726656,0.00004381468,0.00003601094,0.0004911479,0.0002695798,0.0004608424,0.9845419,0.0006779273],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001419877,0.9850263,0.006275639,0.0004314178,0.0002181976,0.002911964,0.004748215,0.00001546227,0.000230808],"genre_scores_gemma":[0.001008134,0.991823,0.0009042114,0.00002015693,0.0003934856,0.002073153,0.003449351,0.000121291,0.0002072035],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9718759,"threshold_uncertainty_score":0.999829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07371533129438282,"score_gpt":0.4130201202959422,"score_spread":0.3393047890015594,"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."}}