{"id":"W2603218891","doi":"","title":"脳梗塞後遺症による意欲低下の改善にニセルゴリン(サアミオンR)が有効であった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":[0.001311348,0.0005327329,0.000536928,0.0003544491,0.000227702,0.00002802245,0.0007817838,0.0006555953,0.005789415],"category_scores_gemma":[0.0001763332,0.0005530067,0.0001968322,0.0005822675,0.0004877857,0.0002759905,0.0001339997,0.001495337,0.001612382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001313086,"about_ca_system_score_gemma":0.00009320536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007488073,"about_ca_topic_score_gemma":0.00006639789,"domain_scores_codex":[0.9967324,0.00005674518,0.0007918455,0.0005438976,0.0005759183,0.001299161],"domain_scores_gemma":[0.9983761,0.0002828256,0.00008551228,0.0006679341,0.00006831323,0.0005193719],"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":[0.0008802949,0.00150728,0.007459422,0.003609708,0.003746774,0.009052144,0.01589,0.001417187,0.07271422,0.128806,0.3524903,0.4024267],"study_design_scores_gemma":[0.006680671,0.0005950856,0.01077176,0.0007459684,0.0008065515,0.0007037395,0.00649398,0.01899178,0.0590569,0.01877414,0.8731044,0.00327503],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2867203,0.04939366,0.007806235,0.003540627,0.008822224,0.000735996,0.00009699008,0.003055961,0.639828],"genre_scores_gemma":[0.9929718,0.003343067,0.0006208688,0.0004984791,0.001149373,0.00001727103,0.00003151137,0.00008237064,0.001285242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7062515,"threshold_uncertainty_score":0.9996921,"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."}}