{"id":"W3090054433","doi":"","title":"Medical Scope：小児鼻アレルギー診療のトピックス","year":2019,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); 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":[0.000795593,0.0003950045,0.0005449848,0.0001907922,0.000092221,0.0000236463,0.0009566102,0.0007526535,0.07127754],"category_scores_gemma":[0.0002370074,0.0003794283,0.0001464129,0.0003557779,0.0003509551,0.0002380557,0.0001865341,0.001657613,0.01173396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006848887,"about_ca_system_score_gemma":0.000246396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004817664,"about_ca_topic_score_gemma":0.00001586344,"domain_scores_codex":[0.9970768,0.00009315097,0.0005665718,0.000487532,0.0009653644,0.0008105912],"domain_scores_gemma":[0.9985259,0.0002248725,0.00005188868,0.0006351331,0.00004218561,0.0005200866],"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":[0.0003602315,0.0009837042,0.01054955,0.00583854,0.002919589,0.003405686,0.005787956,0.0008566823,0.00950054,0.1347409,0.6062828,0.2187739],"study_design_scores_gemma":[0.008788751,0.0006460673,0.00256453,0.002309127,0.000390593,0.0006382562,0.002395462,0.09370646,0.007302681,0.007387065,0.8714265,0.002444493],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.385652,0.0521516,0.0002628419,0.007060109,0.008803887,0.0006536814,0.00004561668,0.001476064,0.5438942],"genre_scores_gemma":[0.9858988,0.01033151,0.0001856468,0.0007482921,0.0006197647,0.00002503026,0.00002638166,0.000061866,0.002102687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6002468,"threshold_uncertainty_score":0.9998658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123130734711566,"score_gpt":0.2623126927252281,"score_spread":0.2499996192540715,"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."}}