{"id":"W2595971837","doi":"","title":"序―「乳児血管腫」小特集に向けて/乳児血管腫をめぐる世界と日本の潮流/乳児血管腫におけるβ遮断薬（プロプラノロール）の有用性/乳児血管腫に対するプロプラノロール療法中のリスクマネジメント","year":2016,"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":"Political 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":[0.001639352,0.0004422353,0.0002530077,0.0006904145,0.00117835,0.002288977,0.0004313175,0.0006370725,0.009650745],"category_scores_gemma":[0.001928146,0.0002374054,0.0003451151,0.0003905592,0.002980654,0.001920202,0.0007312563,0.001221009,0.002980758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001240308,"about_ca_system_score_gemma":0.002167103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003027631,"about_ca_topic_score_gemma":0.001729969,"domain_scores_codex":[0.9992952,0.0001412193,0.00006050127,0.0001368196,0.0002848524,0.00008133941],"domain_scores_gemma":[0.9983791,0.0003192629,0.0002590588,0.0001342707,0.0007215355,0.000186623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004225155,0.000482053,0.01530224,0.001151972,0.0002460323,0.001462023,0.007848665,0.001558104,0.1032386,0.5369133,0.01832749,0.3130471],"study_design_scores_gemma":[0.0000727829,0.0007980962,0.02325943,0.0004325731,0.0002497394,0.002582759,0.00702235,0.00154106,0.1284862,0.1811665,0.6542549,0.0001335798],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2920501,0.01568957,0.04171139,0.01393985,0.001580839,0.0003207179,0.0005168377,0.0002349891,0.6339557],"genre_scores_gemma":[0.8524809,0.009748644,0.01721249,0.002981759,0.001124065,0.0001767541,0.000220789,0.0000735089,0.1159811],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009650745,"threshold_uncertainty_score":0.03228492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582649590257975,"score_gpt":0.253217112530854,"score_spread":0.2373906166282743,"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."}}