{"id":"W4387812191","doi":"10.3390/cancers15205075","title":"Gastric Cancer: Molecular Mechanisms, Novel Targets, and Immunotherapies: From Bench to Clinical Therapeutics","year":2023,"lang":"en","type":"review","venue":"Cancers","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Cancer; Medicine; Bench to bedside; Disease; Diagnostic biomarker; Biomarker discovery; Bioinformatics; Cancer biomarkers; Targeted therapy; Computational biology; Internal medicine; Proteomics; Medical physics; 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":[0.0005042254,0.0006787801,0.001009562,0.001368283,0.0002405055,0.001110753,0.0006396625,0.001010707,0.002707143],"category_scores_gemma":[0.0005188707,0.0002159568,0.000472512,0.001064979,0.0004880146,0.001378899,0.0006634991,0.002083011,0.001489332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006679142,"about_ca_system_score_gemma":0.0008220205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000524181,"about_ca_topic_score_gemma":0.001179623,"domain_scores_codex":[0.9998648,0.00002790332,0.00001459429,0.00002254342,0.00005025655,0.00001984118],"domain_scores_gemma":[0.9998232,0.00008306534,0.00001929917,0.000007376138,0.00004734617,0.00001981441],"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":[0.0001119789,0.00009532131,0.0002095203,0.01564643,0.00009715779,0.0002765422,0.0000767122,0.0006279758,0.005820918,0.007915455,0.04281073,0.9263113],"study_design_scores_gemma":[0.000016867,0.0001167652,0.000544333,0.002646767,0.0000788068,0.001116024,0.00005921498,0.000143855,0.001021243,0.004013353,0.9902243,0.00001841348],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001523892,0.998037,0.0001753493,0.0005162403,0.0002608051,0.000004254817,0.00001819905,0.000008610046,0.0008271342],"genre_scores_gemma":[0.0008134702,0.9978454,0.0002010048,0.0003196431,0.0002086019,0.000006466952,0.00003399465,0.000001826783,0.0005695626],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002707143,"threshold_uncertainty_score":0.00905633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08385524317806291,"score_gpt":0.3905209949411949,"score_spread":0.3066657517631319,"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."}}