{"id":"W2947108878","doi":"","title":"自己免疫性溶血性貧血（AIHA）診療の現状と展望","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":[0.001230312,0.0002031378,0.0001648085,0.0007080302,0.001778676,0.002423912,0.0003758736,0.0007707216,0.01339308],"category_scores_gemma":[0.001656927,0.0001693156,0.0002098127,0.0004684078,0.002360537,0.001532023,0.000674669,0.001136077,0.003589195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497852,"about_ca_system_score_gemma":0.002586519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004023311,"about_ca_topic_score_gemma":0.004107445,"domain_scores_codex":[0.9993175,0.0001066234,0.00003835434,0.0001183656,0.0003266096,0.00009250913],"domain_scores_gemma":[0.99882,0.0002830458,0.0001269707,0.00009481723,0.0005460123,0.0001291536],"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":[0.0001886764,0.0002825648,0.008068567,0.0004418104,0.0000645902,0.0006830225,0.003848054,0.001200521,0.03357596,0.6149918,0.01628101,0.3203734],"study_design_scores_gemma":[0.00003853847,0.000497069,0.0230209,0.0002814715,0.0001040742,0.001439866,0.007175355,0.002738972,0.0610407,0.1841204,0.7194157,0.0001269617],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.1179133,0.007201192,0.03609601,0.009850637,0.001610981,0.0002223897,0.0001940885,0.0001984948,0.8267128],"genre_scores_gemma":[0.7415354,0.004497058,0.02111586,0.002873705,0.0006531621,0.0001170076,0.0001048106,0.00004220485,0.2290607],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01339308,"threshold_uncertainty_score":0.04480428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01285487723627374,"score_gpt":0.2502366955697037,"score_spread":0.23738181833343,"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."}}