{"id":"W634778764","doi":"","title":"NBI拡大観察が治療方針決定に有用であった Cronkhite-Canada 症候群の1例","year":2010,"lang":"ja","type":"article","venue":"Acta gastro-enterologica belgica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000400524,0.001021067,0.0009685425,0.00021463,0.0005410617,0.0001388775,0.001787882,0.001137684,0.004974872],"category_scores_gemma":[0.0002308092,0.00095167,0.0003052168,0.0004203151,0.0006455577,0.0003823257,0.0004346796,0.00343836,0.000199409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001489991,"about_ca_system_score_gemma":0.000209401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01915535,"about_ca_topic_score_gemma":0.252224,"domain_scores_codex":[0.9954197,0.0001417638,0.000957101,0.00109647,0.0005186058,0.001866344],"domain_scores_gemma":[0.9973193,0.0002778611,0.000209211,0.001612436,0.0001225032,0.0004586744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001720206,0.001980585,0.1498843,0.0009197065,0.003039918,0.003030277,0.001830847,0.001234291,0.3961718,0.03879328,0.3876751,0.01371972],"study_design_scores_gemma":[0.004335342,0.002654569,0.2618679,0.000202656,0.0005007365,0.0009138738,0.002661739,0.003601087,0.001642847,0.006411377,0.7120819,0.003125919],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9416325,0.0005253608,0.0001479601,0.00497367,0.00330437,0.000503926,0.0002791399,0.0008909878,0.04774207],"genre_scores_gemma":[0.9939979,0.0003575151,0.002786706,0.0008539354,0.0004581504,0.00008053875,0.00008807829,0.00009193616,0.001285258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.394529,"threshold_uncertainty_score":0.9992934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006453297493900388,"score_gpt":0.1864316121221457,"score_spread":0.1799783146282453,"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."}}