{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002837119,0.001335365,0.002977801,0.00250576,0.0002578009,0.001741237,0.001604746,0.001884636,0.001451582],"category_scores_gemma":[0.003122638,0.0004102518,0.000992484,0.002708146,0.00126378,0.002166796,0.001223287,0.004172568,0.000974839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461857,"about_ca_system_score_gemma":0.001916763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001293755,"about_ca_topic_score_gemma":0.001789726,"domain_scores_codex":[0.999413,0.0001478061,0.00007478749,0.0001101474,0.0001987176,0.00005556049],"domain_scores_gemma":[0.9984269,0.0009708448,0.0001360428,0.00003990853,0.0003340296,0.00009230521],"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":[0.0002259551,0.00007262646,0.000555062,0.01444312,0.0002796785,0.0001639664,0.0000405075,0.0004936073,0.001122629,0.006504512,0.0368378,0.9392606],"study_design_scores_gemma":[0.0001121091,0.0002669517,0.002168147,0.01069969,0.0007118916,0.001303252,0.0001348379,0.0004487171,0.0009341909,0.01108721,0.9720588,0.00007404883],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003353927,0.9989821,0.0001440768,0.0005478487,0.00015265,0.000002387256,0.00001338141,0.000003364032,0.0001205517],"genre_scores_gemma":[0.000467142,0.9982476,0.0002714092,0.0005162291,0.0003377364,0.00000663677,0.00002886557,0.000001213811,0.0001232178],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002977801,"threshold_uncertainty_score":0.01500434,"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."}}