{"id":"W2748127218","doi":"","title":"眼瞼痙攣・片側顔面痙攣・痙性斜頸に対するボツリヌス療法の位置づけ(総説)","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":[0.00123844,0.0004680832,0.0004825082,0.000312812,0.0002038746,0.00002563793,0.0006957193,0.0006167394,0.005222153],"category_scores_gemma":[0.0001717169,0.0004846163,0.0001707741,0.0005085969,0.0004355718,0.0002474758,0.0001146013,0.001434942,0.001472576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001122627,"about_ca_system_score_gemma":0.00008237231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005654134,"about_ca_topic_score_gemma":0.00006415346,"domain_scores_codex":[0.9971126,0.00005125161,0.0007016774,0.0004731556,0.0005018359,0.001159461],"domain_scores_gemma":[0.9985524,0.0002746985,0.00007331106,0.0005938889,0.00005775981,0.0004479025],"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":[0.0007120391,0.001376979,0.00401964,0.003295633,0.003378867,0.008097239,0.02041324,0.001031328,0.05279806,0.1509952,0.3512842,0.4025976],"study_design_scores_gemma":[0.005894598,0.0005407077,0.007830538,0.0006831448,0.0006959869,0.000588397,0.007209007,0.0160369,0.0468137,0.0210218,0.8898244,0.002860835],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3016857,0.04557012,0.007744389,0.003313578,0.008052453,0.0006348842,0.00008015177,0.002743707,0.630175],"genre_scores_gemma":[0.9926558,0.003440223,0.0009585024,0.0004836066,0.001042026,0.00001432644,0.00002946949,0.00007120835,0.0013049],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6909701,"threshold_uncertainty_score":0.9997606,"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."}}