{"id":"W2732951720","doi":"","title":"第49回日本リウマチ学会総会・学術集会ランチョンセミナーリウマチ性疾患治療におけるCOX-2優先的阻害薬の位置付け","year":2005,"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":[0.0005550684,0.0005993491,0.0006163966,0.0003026394,0.0002439004,0.00004570936,0.0008979061,0.0006305561,0.0114106],"category_scores_gemma":[0.000168251,0.0006192419,0.0002278934,0.0004633302,0.0004443646,0.000472057,0.0001516787,0.001531828,0.004119643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001563098,"about_ca_system_score_gemma":0.0001100921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005204249,"about_ca_topic_score_gemma":0.00005672511,"domain_scores_codex":[0.9968588,0.00009467197,0.0007409164,0.0006186836,0.0005644475,0.001122448],"domain_scores_gemma":[0.9984108,0.0002230509,0.00008738494,0.000784997,0.00006327725,0.000430481],"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":[0.0001881971,0.0007325992,0.0008911085,0.001108213,0.001753319,0.0007840272,0.006924137,0.004704976,0.009670258,0.06527594,0.5499918,0.3579754],"study_design_scores_gemma":[0.002386314,0.0001567157,0.0006197742,0.0002126687,0.0002863244,0.000199496,0.0008012019,0.04837043,0.006247012,0.004462094,0.9351623,0.001095677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09563278,0.0778656,0.001841405,0.02761524,0.005724962,0.0008713462,0.000153828,0.003709886,0.786585],"genre_scores_gemma":[0.985406,0.007088913,0.001660129,0.001240658,0.002205279,0.00005973483,0.00003618571,0.00009684211,0.002206265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8897732,"threshold_uncertainty_score":0.9996259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511952508600746,"score_gpt":0.2586597855071774,"score_spread":0.2435402604211699,"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."}}