{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000204498,0.0004211746,0.0008522898,0.00009157833,0.00009180163,0.00005513654,0.0004546124,0.0004741369,0.00004436902],"category_scores_gemma":[0.00002418221,0.0003803932,0.0003411821,0.0003104891,0.00009011056,0.000002831932,0.0001531831,0.0002597055,0.00001957254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002990902,"about_ca_system_score_gemma":0.001407829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007169399,"about_ca_topic_score_gemma":0.000110441,"domain_scores_codex":[0.9979466,0.00008378252,0.0005901498,0.0008577702,0.0001679164,0.0003537979],"domain_scores_gemma":[0.9987221,0.00003684382,0.0002692122,0.000721054,0.0000855527,0.0001652703],"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":[0.00002205038,0.00002172589,0.000004167021,0.0005587297,0.001427088,0.000003342879,0.00003808797,0.00008189237,0.003542616,0.0001469912,0.002406892,0.9917464],"study_design_scores_gemma":[0.0002674265,0.0001286919,0.00001020871,0.0008529691,0.0004527843,0.000002666792,0.00003840901,0.00001952191,0.0001646068,0.0000544388,0.9975671,0.0004411948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000163052,0.9840338,0.0132764,0.00007493705,0.0008499202,0.0006560071,0.0008728174,0.0000281657,0.00004489822],"genre_scores_gemma":[0.00003861348,0.9948049,0.001973908,0.0009088106,0.0005034351,0.0006389377,0.0004602272,0.0001351156,0.0005360783],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9951602,"threshold_uncertainty_score":0.9998648,"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."}}