{"id":"W4413438811","doi":"10.62051/gjgj3p83","title":"Research and Model Development for Gastric Cancer Risk Prediction","year":2025,"lang":"en","type":"article","venue":"Transactions on Computer Science and Intelligent Systems Research","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SGS (Canada)","funders":"","keywords":"Cancer; Risk model; Medicine; Computer science; Internal medicine; Risk analysis (engineering)","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":[0.002776025,0.0006862964,0.0007720992,0.0009202185,0.0003605449,0.001256895,0.001193588,0.0008363927,0.001853015],"category_scores_gemma":[0.007068549,0.0004194198,0.001244223,0.001117495,0.0002518222,0.001034863,0.0007090748,0.00173207,0.000750702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008491008,"about_ca_system_score_gemma":0.001976097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01630532,"about_ca_topic_score_gemma":0.007384267,"domain_scores_codex":[0.999284,0.0003121495,0.00005253406,0.0001342698,0.0001530863,0.00006404369],"domain_scores_gemma":[0.9981547,0.001077119,0.0001123268,0.0000970605,0.0005191052,0.00003964868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001168881,0.0001156211,0.01089538,0.000272458,0.0001717044,0.0002409143,0.00009596437,0.7981847,0.001136407,0.01192025,0.004126636,0.1727231],"study_design_scores_gemma":[0.000004680856,0.00003113643,0.0004687649,0.00002130118,0.000015156,0.0000330132,0.00001093805,0.9945944,0.0003134841,0.002850212,0.001650595,0.000006382054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04849448,0.006738116,0.935123,0.002457905,0.0002744516,0.0002052165,0.0007591798,0.0009461345,0.005001544],"genre_scores_gemma":[0.6249679,0.01092235,0.3512329,0.0007518852,0.000505233,0.0007777497,0.002762155,0.0001698939,0.007910115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01630532,"threshold_uncertainty_score":0.03242081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09615967985680633,"score_gpt":0.4297010878898272,"score_spread":0.3335414080330209,"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."}}