{"id":"W2960265661","doi":"","title":"川崎病，IgA血管炎，結節性多発動脈炎","year":2019,"lang":"zh","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":[0.0006400052,0.000360658,0.0002259196,0.0007097198,0.00109257,0.002784274,0.0004374218,0.0007328714,0.009172061],"category_scores_gemma":[0.0008104382,0.0001434369,0.0002887171,0.0004966683,0.002136845,0.001641124,0.0007943246,0.001043457,0.00238908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001793524,"about_ca_system_score_gemma":0.001738761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002657148,"about_ca_topic_score_gemma":0.001379699,"domain_scores_codex":[0.9995887,0.00006799136,0.00001637642,0.00008619925,0.0001465714,0.00009429418],"domain_scores_gemma":[0.9996046,0.00005301593,0.00005887096,0.00002972997,0.0001882053,0.00006557661],"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":[0.0001758737,0.0001940977,0.008373992,0.0008711829,0.0001273517,0.0007470992,0.00406444,0.002755156,0.07101459,0.6050653,0.01208706,0.2945238],"study_design_scores_gemma":[0.00003532555,0.0005720858,0.0223422,0.0003455998,0.0001634178,0.001737542,0.01051324,0.004447547,0.08090236,0.2636848,0.6151392,0.0001167158],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2305288,0.01669226,0.04217286,0.0164222,0.002124773,0.0001577792,0.0002513989,0.0002982891,0.6913517],"genre_scores_gemma":[0.8863336,0.00567551,0.01045107,0.001282686,0.0004568264,0.00005685055,0.00007740528,0.00002888127,0.09563716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009172061,"threshold_uncertainty_score":0.03068358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278804961412484,"score_gpt":0.2499177941726009,"score_spread":0.237129744558476,"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."}}