{"id":"W2277589407","doi":"","title":"慢性疼痛に対する薬物治療を中心とした治療実態調査；日本，米国，ドイツの比較","year":2010,"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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005447461,0.0004688705,0.0004727129,0.000228451,0.0002176248,0.00004087444,0.0008588866,0.0007317772,0.01439014],"category_scores_gemma":[0.0002560185,0.0004710131,0.0001688462,0.0003585531,0.0005721449,0.0002875192,0.00013645,0.002829425,0.002284499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003294611,"about_ca_system_score_gemma":0.0001185675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006625918,"about_ca_topic_score_gemma":0.00009245907,"domain_scores_codex":[0.997621,0.00005195267,0.0005430586,0.0004904473,0.0004220488,0.0008715215],"domain_scores_gemma":[0.9985014,0.0001767984,0.0000664548,0.0007819101,0.00005981322,0.0004136137],"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":[0.0002137516,0.0008076354,0.003111382,0.00173852,0.00168454,0.001731673,0.007988015,0.0002789468,0.25388,0.1271901,0.4234608,0.1779146],"study_design_scores_gemma":[0.003614704,0.0002396909,0.0033158,0.0002340012,0.0004487108,0.0004580492,0.001528606,0.02573584,0.0332342,0.01855798,0.9107475,0.001884894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5499349,0.01152124,0.000496708,0.006520861,0.01632397,0.0005650906,0.0001294965,0.002436489,0.4120713],"genre_scores_gemma":[0.9939116,0.001934926,0.0009732444,0.0003444287,0.001276832,0.00004494616,0.00003168134,0.00007367627,0.001408641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4872867,"threshold_uncertainty_score":0.9997742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242620742157547,"score_gpt":0.2551619172801331,"score_spread":0.2427357098585576,"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."}}