{"id":"W2744349842","doi":"","title":"パーキンソン病の薬物療法における臨床的話題；ドパミン補充療法における諸問題~DDSやwearing-offなど","year":2008,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001780944,0.0004019111,0.0002435668,0.0009883723,0.002231001,0.003486024,0.0004213543,0.001030402,0.0218782],"category_scores_gemma":[0.003704449,0.0003150135,0.0003552337,0.0005115123,0.004100334,0.001840173,0.001045543,0.001744333,0.00803692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001746043,"about_ca_system_score_gemma":0.002379001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005376843,"about_ca_topic_score_gemma":0.004837112,"domain_scores_codex":[0.997698,0.0002604966,0.0001572674,0.0002635355,0.001414223,0.0002064892],"domain_scores_gemma":[0.9966214,0.0009838409,0.0003229135,0.0003410847,0.001442654,0.0002881259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003502672,0.0003614428,0.01269862,0.000541335,0.0001081535,0.001510181,0.004904042,0.001641468,0.0736592,0.5267794,0.03176206,0.3456838],"study_design_scores_gemma":[0.00005105206,0.0005050387,0.02073316,0.0002391162,0.0001210772,0.002137638,0.007401712,0.001686808,0.1305537,0.1389669,0.6974571,0.0001467375],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1421028,0.004267012,0.02324243,0.008006962,0.001136583,0.0002310312,0.0004150632,0.0002609762,0.8203372],"genre_scores_gemma":[0.6712974,0.00491125,0.01669005,0.003160443,0.0005835322,0.0001683717,0.0004600163,0.0001443592,0.3025845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0218782,"threshold_uncertainty_score":0.07318991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02366583228735409,"score_gpt":0.2523166237324742,"score_spread":0.2286507914451201,"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."}}