{"id":"W3098406339","doi":"","title":"X染色体優性低リン血症（XLH）と腫瘍性骨軟化症（TIO）の現状と抗FGF23抗体療法 ―成人患者について―","year":2019,"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":[0.0005036705,0.000584007,0.0006908345,0.0002744418,0.0001521168,0.00004482444,0.0009166644,0.000657746,0.02062732],"category_scores_gemma":[0.0001095157,0.0005917483,0.0002348724,0.0004923301,0.0003258023,0.0004166664,0.0001843062,0.001575568,0.01080998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001158125,"about_ca_system_score_gemma":0.0001335426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007693563,"about_ca_topic_score_gemma":0.00001405489,"domain_scores_codex":[0.9969125,0.00009234587,0.0006848928,0.0006786121,0.0005767436,0.001054897],"domain_scores_gemma":[0.9983349,0.0002191346,0.00009384292,0.0009128526,0.00006596771,0.0003732992],"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":[0.0008887934,0.0015063,0.01501411,0.008032614,0.005053707,0.002249305,0.01481838,0.005534884,0.08444937,0.1964924,0.498128,0.1678321],"study_design_scores_gemma":[0.007902323,0.0007901141,0.004120523,0.0009848217,0.0006422402,0.0003544336,0.004205611,0.05708236,0.01550264,0.01599064,0.8893892,0.003035131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4697846,0.03014264,0.0004360003,0.004407011,0.009959191,0.0009945405,0.0001416703,0.002129426,0.4820049],"genre_scores_gemma":[0.9894192,0.00407018,0.0003588834,0.0005175385,0.0006909173,0.00004394594,0.00005587844,0.00009235201,0.004751072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5196347,"threshold_uncertainty_score":0.9996534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259601119286412,"score_gpt":0.2484849858211789,"score_spread":0.2358889746283148,"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."}}