{"id":"W2561698232","doi":"","title":"神経内科におけるてんかん診療； てんかん診療へのさらなる参画，新規抗てんかん薬の使い方","year":2011,"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":[0.0004975828,0.000544933,0.0005598508,0.0002152749,0.0001926791,0.00002042429,0.0009492865,0.0005985877,0.01964965],"category_scores_gemma":[0.0001153199,0.0005467178,0.0002057678,0.0004336928,0.0005558818,0.0003513398,0.0001607795,0.001324167,0.002671293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006759263,"about_ca_system_score_gemma":0.00009370469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001271276,"about_ca_topic_score_gemma":0.00002311402,"domain_scores_codex":[0.9972774,0.00008821079,0.0006558677,0.0005485294,0.0004158772,0.001014149],"domain_scores_gemma":[0.99856,0.00009383852,0.00008325092,0.0007661987,0.0000641951,0.0004325368],"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":[0.0008436571,0.002229471,0.006859782,0.003534877,0.005324972,0.005949659,0.06408945,0.0002012627,0.01625935,0.2341112,0.4483004,0.2122959],"study_design_scores_gemma":[0.01363608,0.002109585,0.01888544,0.001575531,0.002709416,0.001373299,0.01693328,0.05336368,0.06309513,0.1251972,0.6933146,0.007806794],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0973729,0.03033231,0.0009006856,0.0009791156,0.005459909,0.000486362,0.00008748442,0.002244358,0.8621368],"genre_scores_gemma":[0.9899322,0.006350126,0.001383874,0.0003626718,0.0005395066,0.00005783397,0.0000223107,0.00008823652,0.001263245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8925593,"threshold_uncertainty_score":0.9996985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03041070002375282,"score_gpt":0.251507951290536,"score_spread":0.2210972512667832,"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."}}