{"id":"W2954140069","doi":"","title":"デバイス補助療法－脳深部刺激術，デュオドーパ－","year":2019,"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":[0.001822946,0.000347326,0.0001881252,0.0008535624,0.001471431,0.005073394,0.0005168067,0.001232609,0.01320654],"category_scores_gemma":[0.001788251,0.0001586184,0.0001850958,0.0005716453,0.004176241,0.002634881,0.0009619893,0.001492751,0.0027968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00359351,"about_ca_system_score_gemma":0.004608426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003282409,"about_ca_topic_score_gemma":0.003145474,"domain_scores_codex":[0.9991216,0.0002240188,0.00003559428,0.0001202188,0.0003760446,0.0001225713],"domain_scores_gemma":[0.9988729,0.0002893511,0.0001407545,0.00007225222,0.0004388356,0.0001859425],"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":[0.00003361884,0.00009011983,0.001395514,0.0002456423,0.00002298661,0.0001507737,0.001965482,0.0007494678,0.002937289,0.8917004,0.01041459,0.09029409],"study_design_scores_gemma":[0.00002109625,0.0002175019,0.005525274,0.0004044116,0.00004149334,0.0004823036,0.008012842,0.001507645,0.006915167,0.4472233,0.5295916,0.00005725212],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.056198,0.01294171,0.02209529,0.05813541,0.001744819,0.000126295,0.000135491,0.0001044911,0.8485185],"genre_scores_gemma":[0.8394569,0.009932394,0.0102425,0.005031294,0.0007826124,0.00008909447,0.00005589167,0.0000290628,0.1343803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01320654,"threshold_uncertainty_score":0.04418027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259332538108858,"score_gpt":0.2483700062124085,"score_spread":0.2357766808313199,"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."}}