{"id":"W2571206115","doi":"","title":"薬物乱用頭痛と片頭痛；当院頭痛クリニックを受診した薬物乱用頭痛108例の検討を含め（研究）","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":[0.0004876603,0.0005420959,0.0005481604,0.0002766747,0.0001900905,0.00002048549,0.0009334136,0.0005774774,0.02091108],"category_scores_gemma":[0.000111364,0.0005500679,0.0002015398,0.0004271109,0.0005682962,0.0003508527,0.0001558616,0.001279273,0.002684814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007175363,"about_ca_system_score_gemma":0.0001021879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001534779,"about_ca_topic_score_gemma":0.00002576095,"domain_scores_codex":[0.9972866,0.00009268174,0.0006547692,0.0005461801,0.0004172291,0.001002497],"domain_scores_gemma":[0.9985819,0.0000983223,0.00008327393,0.0007537692,0.00005922237,0.000423482],"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":[0.0007761219,0.002104173,0.008741693,0.003959098,0.005284107,0.005912482,0.06421445,0.0002271588,0.01599414,0.2323441,0.4245656,0.2358768],"study_design_scores_gemma":[0.01378087,0.0018936,0.02278513,0.001694208,0.00271663,0.00136156,0.01594283,0.03493959,0.09820499,0.1175098,0.6811571,0.00801371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08235573,0.02546752,0.001185435,0.0008350375,0.005861865,0.0005344505,0.00008865613,0.002230141,0.8814412],"genre_scores_gemma":[0.9906725,0.005337757,0.001436345,0.0003496602,0.0005447656,0.00005936062,0.00002184614,0.00008897069,0.001488816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9083167,"threshold_uncertainty_score":0.9996951,"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."}}