{"id":"W2677278825","doi":"","title":"片頭痛マネジメントミーティング 2006；患者満足度向上を目指した片頭痛診療アプローチ","year":2006,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002299982,0.0002892246,0.0001990785,0.0006887807,0.001969433,0.004240604,0.0003976945,0.002263425,0.01795225],"category_scores_gemma":[0.002738931,0.0002187642,0.0003045805,0.0006573185,0.001992894,0.001916227,0.0008457082,0.002847048,0.004607256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004402091,"about_ca_system_score_gemma":0.006244481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01435434,"about_ca_topic_score_gemma":0.01323206,"domain_scores_codex":[0.9989288,0.0002248998,0.00007794048,0.0001686246,0.0004265328,0.0001730564],"domain_scores_gemma":[0.9988465,0.0001803042,0.0001195679,0.00007329807,0.0005999866,0.000180264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001182788,0.00008053218,0.001414546,0.0001740577,0.00002059004,0.0001185903,0.002454992,0.000628615,0.001555471,0.8043272,0.0876519,0.1014551],"study_design_scores_gemma":[0.00001359975,0.00006815016,0.002844183,0.000153507,0.00001782802,0.0001225607,0.0007810101,0.0001651314,0.001844116,0.03993271,0.954029,0.00002830005],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.026632,0.008717044,0.006082443,0.04605338,0.004295152,0.00009550554,0.0003193668,0.00008340085,0.9077216],"genre_scores_gemma":[0.3093911,0.006023117,0.01133122,0.01336205,0.001370335,0.0001291763,0.0002341998,0.00006618147,0.6580927],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01795225,"threshold_uncertainty_score":0.06005621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103953523254744,"score_gpt":0.240837928902024,"score_spread":0.2297983936694766,"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."}}