{"id":"W2595780650","doi":"","title":"本邦の日常診療におけるメロキシカムの安全性の評価；5~626例を対象としたプロスペクティブ大規模市販後調査","year":2007,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.00153362,0.000528163,0.0005299894,0.0003643353,0.0002224356,0.00003052646,0.0007618528,0.0006544525,0.005932631],"category_scores_gemma":[0.0001866495,0.0005500529,0.0001971948,0.0005882829,0.0004889026,0.0002812582,0.0001262226,0.00149223,0.001767835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001279048,"about_ca_system_score_gemma":0.00008714139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000543304,"about_ca_topic_score_gemma":0.0000601127,"domain_scores_codex":[0.9967256,0.00005644351,0.000806206,0.000527142,0.0005729464,0.001311686],"domain_scores_gemma":[0.9983422,0.0003245427,0.00008456327,0.0006651577,0.00006889822,0.0005146211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007585916,0.001213171,0.004863104,0.002900665,0.003210848,0.007112998,0.01378364,0.0009765525,0.06445517,0.1427471,0.3314831,0.4264951],"study_design_scores_gemma":[0.006732706,0.0005901065,0.008918738,0.0006872937,0.0007994263,0.0007002127,0.006700932,0.01600124,0.0589836,0.02403743,0.8725715,0.003276853],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1758966,0.04429378,0.0119944,0.003064756,0.008120276,0.000668916,0.00008144217,0.002814913,0.7530649],"genre_scores_gemma":[0.9925426,0.003186377,0.001192687,0.000510353,0.001147324,0.00001655029,0.00003107382,0.00008383027,0.001289192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.816646,"threshold_uncertainty_score":0.9996951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614283244887213,"score_gpt":0.2689159449684661,"score_spread":0.2527731125195939,"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."}}