{"id":"W2748838782","doi":"","title":"変形性膝関節症患者関節液の細胞外マトリックス分解酵素含有量に及ぼすCOX-2阻害薬,メロキシカムの効果","year":2009,"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":"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":[0.0004402965,0.0005580909,0.0006264943,0.000279191,0.0002255304,0.00004274501,0.0008234128,0.0005810267,0.004902631],"category_scores_gemma":[0.0001379278,0.0005719644,0.0002078809,0.0005161026,0.0002839847,0.0003394624,0.00006546297,0.001404347,0.001615108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009749687,"about_ca_system_score_gemma":0.0000959873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001846273,"about_ca_topic_score_gemma":0.000004981106,"domain_scores_codex":[0.9971818,0.00008224088,0.0006461732,0.0005524916,0.0005071843,0.001030153],"domain_scores_gemma":[0.9986212,0.00011794,0.0000757141,0.0007098057,0.0000576059,0.0004177743],"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":[0.0002988527,0.001111669,0.0005891112,0.0009168457,0.0009837567,0.002496277,0.007078263,0.002041887,0.04474588,0.1060105,0.5207034,0.3130236],"study_design_scores_gemma":[0.009533183,0.001990204,0.009150982,0.001197455,0.001185909,0.0008395443,0.003549413,0.0701158,0.03729323,0.08948033,0.7708021,0.004861909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1202516,0.08134118,0.002817858,0.01978103,0.00683466,0.000974921,0.0001289347,0.00458142,0.7632884],"genre_scores_gemma":[0.9892089,0.006597474,0.0006913078,0.001188521,0.0008941524,0.00001872049,0.00003538541,0.00004911481,0.001316383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8689573,"threshold_uncertainty_score":0.9996732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473548641461375,"score_gpt":0.2597194626877566,"score_spread":0.2449839762731428,"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."}}