{"id":"W2743811926","doi":"","title":"視床下核-脳深部刺激療法（STN-DBS）施行症例に対するゾニサミドの有用性（研究）","year":2013,"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":[0.0004787748,0.0005697146,0.000594275,0.0002605683,0.0002202379,0.00006783946,0.0009034671,0.0006137966,0.03342943],"category_scores_gemma":[0.000267315,0.0005587008,0.0001956037,0.0004295184,0.0005172106,0.0005382968,0.000179326,0.001377671,0.00988727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009438598,"about_ca_system_score_gemma":0.00009758391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002689585,"about_ca_topic_score_gemma":0.00002186636,"domain_scores_codex":[0.9970065,0.0001285499,0.0006911845,0.0005629669,0.0005014564,0.001109306],"domain_scores_gemma":[0.9982537,0.0003292229,0.00008135114,0.0007612466,0.0000895205,0.0004849715],"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":[0.0000678287,0.0004390284,0.001035654,0.001342241,0.001293847,0.0004763089,0.005275278,0.0004675959,0.02381831,0.01871968,0.8273537,0.1197105],"study_design_scores_gemma":[0.008685213,0.000857998,0.01222083,0.001245119,0.001053989,0.0008955882,0.009200993,0.1085416,0.01908435,0.06649271,0.7666197,0.005101911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2845995,0.05593185,0.001558313,0.01708926,0.008727054,0.001709488,0.0001247343,0.003690412,0.6265693],"genre_scores_gemma":[0.9897454,0.005197408,0.0007900426,0.0006549683,0.0008478554,0.000162613,0.00004082074,0.00008830052,0.002472583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7051459,"threshold_uncertainty_score":0.9996864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424364199011249,"score_gpt":0.2450587472950678,"score_spread":0.2308151053049553,"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."}}