{"id":"W2625412432","doi":"","title":"ゾニサミド追加後，wearing offの早期改善を認めたパーキンソン病の1例（臨床報告）","year":2012,"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":[0.0007914039,0.0004448673,0.0004761139,0.0002174965,0.0002041567,0.00002665624,0.0005735012,0.0004746674,0.006717943],"category_scores_gemma":[0.0001576372,0.0004570398,0.0001629373,0.0003577075,0.0002992444,0.0005789265,0.0001805904,0.001251518,0.002419622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009894178,"about_ca_system_score_gemma":0.00005734275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005169837,"about_ca_topic_score_gemma":0.000005929188,"domain_scores_codex":[0.997328,0.00008900523,0.0005325234,0.0003260502,0.0004206644,0.001303801],"domain_scores_gemma":[0.998648,0.0001612233,0.00006625361,0.0005628365,0.00003570549,0.0005259674],"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":[0.0003372989,0.001925377,0.03878079,0.00491603,0.004774741,0.0007359574,0.03724949,0.001163708,0.0484972,0.1197189,0.4113324,0.3305681],"study_design_scores_gemma":[0.005226611,0.0002647609,0.01624923,0.000877211,0.001075847,0.0004945733,0.00589655,0.02893903,0.03028414,0.005270879,0.9022171,0.003204082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2899615,0.1092818,0.001621718,0.002337205,0.01101131,0.0006020204,0.00005395887,0.002395263,0.5827352],"genre_scores_gemma":[0.9918939,0.003948562,0.0008248645,0.0002506199,0.001655252,0.00003476079,0.00002036834,0.00007404949,0.001297557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7019324,"threshold_uncertainty_score":0.9997881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02224120736847943,"score_gpt":0.2643603646821006,"score_spread":0.2421191573136211,"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."}}