{"id":"W32936620","doi":"10.1021/acs.est.0c03331","title":"冠動脈病変を有する例を適切に管理する (特集 症例から学ぶ川崎病の診断・治療・管理のエッセンス) -- (回復期・遠隔期の管理のエッセンス)","year":2015,"lang":"en","type":"article","venue":"小児科診療","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002298323,0.000330137,0.0002184952,0.0001860772,0.0002957862,0.000552341,0.0002646554,0.0003502494,0.003986308],"category_scores_gemma":[0.0002956004,0.0001616355,0.0004181004,0.0002301716,0.0003537443,0.000751411,0.0002956029,0.0005727125,0.001465683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003692077,"about_ca_system_score_gemma":0.0003746986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001768776,"about_ca_topic_score_gemma":0.001619243,"domain_scores_codex":[0.9998085,0.00001585938,0.00001372565,0.00006904986,0.00005028416,0.00004261103],"domain_scores_gemma":[0.9998264,0.00005008634,0.00004649769,0.00001565357,0.00004776675,0.00001360388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"case_report","study_design_scores_codex":[0.0002820383,0.0001701659,0.01150313,0.000482607,0.00005299327,0.0002717475,0.0000677059,0.002518962,0.9494736,0.003866901,0.0003073479,0.0310028],"study_design_scores_gemma":[0.00001411316,0.0004658361,0.01138345,0.0000162883,0.00002824971,0.000453837,0.0001163835,0.009353356,0.9687703,0.001966017,0.007406417,0.00002567448],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9200584,0.0046389,0.05463259,0.0003966943,0.0002504482,0.000152498,0.001058973,0.000279588,0.0185321],"genre_scores_gemma":[0.9870902,0.00114815,0.00853953,0.00006660722,0.00002263495,0.00003202602,0.0003418073,0.00002101924,0.002738188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003986308,"threshold_uncertainty_score":0.01333553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02972840852252682,"score_gpt":0.211454859469187,"score_spread":0.1817264509466602,"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."}}