{"id":"W4411243595","doi":"10.2196/72228","title":"The Cost-Effectiveness of Adding Helicobacter Pylori Screening to the National Gastric Cancer Screening Program in Korea: Protocol for a Cost-Effectiveness Modeling Study","year":2025,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Helicobacter pylori-related gastroenterology studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Helicobacter pylori; Medicine; Cancer; Cancer screening; Cost-effectiveness analysis; Cost effectiveness; Quality-adjusted life year; Incremental cost-effectiveness ratio; Cancer prevention; Internal medicine; Risk analysis (engineering)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02999255,0.004812698,0.004850588,0.002152556,0.001507547,0.002490025,0.003858834,0.004172564,0.04737579],"category_scores_gemma":[0.04732215,0.001937098,0.01455061,0.002453753,0.001533416,0.001947458,0.002228258,0.006556878,0.003174238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01006052,"about_ca_system_score_gemma":0.01981324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005114054,"about_ca_topic_score_gemma":0.004093185,"domain_scores_codex":[0.9846317,0.01043884,0.0016466,0.001017972,0.0009159072,0.001349059],"domain_scores_gemma":[0.9802973,0.008675241,0.00440942,0.00205183,0.003534306,0.001031911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.4235492,0.02935305,0.008014593,0.05377058,0.02651779,0.00181875,0.0008541461,0.2442855,0.003875416,0.03903364,0.05353791,0.1153895],"study_design_scores_gemma":[0.5123997,0.07928286,0.01491784,0.02358679,0.02942289,0.0006728529,0.0007467094,0.1367532,0.007926172,0.04614523,0.147224,0.0009216933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.008259455,0.0005224621,0.01050114,0.0005815754,0.000259379,0.9661556,0.01075146,0.0001349612,0.002833947],"genre_scores_gemma":[0.00844987,0.0002428759,0.004586134,0.0001497015,0.0000149064,0.9853054,0.0009564671,0.000008456153,0.0002861126],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.04737579,"threshold_uncertainty_score":0.1586177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3162175035767794,"score_gpt":0.5682309901682866,"score_spread":0.2520134865915072,"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."}}