{"id":"W2596606598","doi":"","title":"NSAIDs起因性胃・十二指腸潰瘍予防に関する意識調査：町田市内の整形外科医師への調査結果","year":2013,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003396348,0.0005121552,0.0005404273,0.0002545997,0.0001903508,0.00006260406,0.0007947934,0.0005335171,0.03353812],"category_scores_gemma":[0.0001501004,0.0005002385,0.0001793983,0.0004300057,0.0004358289,0.0005318583,0.000143517,0.001264658,0.01134608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007996133,"about_ca_system_score_gemma":0.00007568474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002917875,"about_ca_topic_score_gemma":0.00001261728,"domain_scores_codex":[0.9973513,0.00008740553,0.0006274774,0.0005013758,0.0004466448,0.0009857354],"domain_scores_gemma":[0.9985411,0.0001787848,0.0000697103,0.0006876474,0.00008430796,0.0004385152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004450711,0.0004229345,0.00120944,0.001386532,0.001471333,0.0003955051,0.004035213,0.0004810918,0.02048542,0.03008319,0.7507518,0.189233],"study_design_scores_gemma":[0.007472957,0.0007819429,0.008775419,0.0009735134,0.0009460271,0.0004685214,0.007690105,0.1409579,0.02309838,0.08266997,0.7215296,0.004635672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2732178,0.04957174,0.001580668,0.01128157,0.007295171,0.001483999,0.00008489784,0.003299553,0.6521846],"genre_scores_gemma":[0.9904989,0.00429788,0.001029995,0.0005511156,0.0007006807,0.0001579933,0.00003046805,0.00007971125,0.002653282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.717281,"threshold_uncertainty_score":0.999745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0141398989918313,"score_gpt":0.244127260139804,"score_spread":0.2299873611479727,"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."}}