{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006633305,0.00009429151,0.0001742966,0.00140779,0.001492382,0.0002377738,0.0001780308,0.00005842687,0.000004599369],"category_scores_gemma":[0.0001031181,0.00007475274,0.00002212294,0.001353574,0.0007508533,0.0001187252,0.00002768519,0.000795914,0.000003635711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003499826,"about_ca_system_score_gemma":0.0009502922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002571689,"about_ca_topic_score_gemma":0.000007199458,"domain_scores_codex":[0.9975337,0.0001058533,0.0002738409,0.0005169962,0.001071144,0.0004984148],"domain_scores_gemma":[0.9979865,0.0003775875,0.00002339484,0.0002137894,0.001152712,0.000246036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001945209,0.0002856336,0.001641133,0.0005319919,0.00008252903,0.000002603179,0.001225739,0.02981883,0.001128562,0.00163853,0.002615241,0.9608347],"study_design_scores_gemma":[0.0003598953,0.0003873079,0.001136432,0.000487005,0.00001073065,0.00001319207,0.0002385501,0.9878609,0.001489995,0.0001826184,0.007778022,0.00005537068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08766309,0.0005595972,0.9089363,0.001262084,0.0003391445,0.0009093741,0.000006670045,0.00003052698,0.000293218],"genre_scores_gemma":[0.9851121,0.001827906,0.009796931,0.00008263651,0.0001040167,0.0003452572,0.000001706432,0.00001061627,0.002718812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9607793,"threshold_uncertainty_score":0.9998075,"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."}}