{"id":"W2742639872","doi":"","title":"ニセルゴリン（サアミオンR）投与により尿失禁および意欲低下が軽減された脳梗塞後遺症の１例(臨床報告)","year":2007,"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":[0.001466083,0.0005772685,0.0005865926,0.000395854,0.000246814,0.00003369263,0.000845702,0.0007156271,0.006054678],"category_scores_gemma":[0.0001945876,0.0005992126,0.0002144116,0.0006180267,0.0005100017,0.000302297,0.0001495653,0.001634725,0.001818446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001456069,"about_ca_system_score_gemma":0.00009818754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007530539,"about_ca_topic_score_gemma":0.00007466236,"domain_scores_codex":[0.9964881,0.00005863657,0.0008576756,0.0005807618,0.0006088323,0.001405979],"domain_scores_gemma":[0.9982423,0.0003336972,0.000094211,0.0007198988,0.00007357021,0.0005363625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007315539,0.00130327,0.006007889,0.00306576,0.003213102,0.007151047,0.01406806,0.0007659227,0.05378654,0.12378,0.3505353,0.4355915],"study_design_scores_gemma":[0.006997559,0.0006467085,0.01079219,0.0008002288,0.0008441304,0.0007301771,0.006854965,0.0147048,0.05592743,0.02071212,0.877524,0.003465691],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2412603,0.05163884,0.008743765,0.00382377,0.009359456,0.0007850371,0.00009737023,0.003122273,0.6811692],"genre_scores_gemma":[0.9916602,0.00395747,0.001020176,0.0005085161,0.001200984,0.00001951379,0.00003583882,0.00009129915,0.001505962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7503999,"threshold_uncertainty_score":0.9996459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614283244887213,"score_gpt":0.2689159449684661,"score_spread":0.2527731125195939,"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."}}