{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004981694,0.0001984892,0.0002201065,0.0005204786,0.001491494,0.002052582,0.0003697028,0.0008522032,0.01211749],"category_scores_gemma":[0.0009554802,0.0001943526,0.0002130717,0.0002818351,0.002635262,0.001367112,0.000474728,0.001236957,0.002791576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001724631,"about_ca_system_score_gemma":0.001539468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003321334,"about_ca_topic_score_gemma":0.002180702,"domain_scores_codex":[0.9995603,0.00005675563,0.00001780552,0.00008688371,0.000214217,0.00006409642],"domain_scores_gemma":[0.9995623,0.0001035064,0.0000489415,0.00004612283,0.0001818541,0.00005726825],"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":[0.0002345305,0.0002184613,0.003274783,0.0003329024,0.0000551538,0.0004978047,0.002842691,0.001495678,0.06854713,0.7387564,0.01629253,0.1674519],"study_design_scores_gemma":[0.00007069521,0.00058096,0.01270111,0.0002040311,0.00009603871,0.0009591483,0.005420132,0.00213521,0.1432049,0.2642175,0.5702754,0.0001349467],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1623962,0.006851245,0.0132463,0.009519944,0.001245797,0.00009459237,0.0002041689,0.0001024624,0.8063393],"genre_scores_gemma":[0.8211545,0.00315617,0.009991937,0.001771278,0.0003654552,0.00006755527,0.0001099667,0.00004305987,0.1633402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01211749,"threshold_uncertainty_score":0.04053712,"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."}}