{"id":"W2978202251","doi":"","title":"血清学的診断（ASCA~ANCAを含めて）","year":2008,"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":"Medicine","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":[0.001469802,0.0006112759,0.0002607407,0.001766432,0.00328908,0.005993619,0.0005977747,0.001875171,0.04310047],"category_scores_gemma":[0.00236766,0.0002700991,0.0003285602,0.001260657,0.002449806,0.001432095,0.001753886,0.002135974,0.01423997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003908865,"about_ca_system_score_gemma":0.006661191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008945253,"about_ca_topic_score_gemma":0.01048913,"domain_scores_codex":[0.9984823,0.0002878209,0.00006596172,0.0001492443,0.0007018138,0.0003129398],"domain_scores_gemma":[0.9983524,0.0002081932,0.0001618655,0.0001420041,0.0007690265,0.0003664988],"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":[0.0001939584,0.0002537518,0.00535063,0.000428676,0.00005226353,0.001045931,0.001478088,0.0008861889,0.01281384,0.4941894,0.1677744,0.315533],"study_design_scores_gemma":[0.000009596318,0.00006967053,0.002976748,0.00008537532,0.00001409243,0.0004870366,0.0003631386,0.0002711116,0.003694138,0.01327484,0.9787275,0.00002673707],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02137886,0.00852352,0.004366436,0.02711467,0.004500464,0.0001525455,0.0003038861,0.0003791464,0.9332804],"genre_scores_gemma":[0.3670873,0.009997143,0.01062391,0.008244682,0.001799924,0.000176744,0.0002978841,0.0001086312,0.6016637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04310047,"threshold_uncertainty_score":0.1441855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069765257850329,"score_gpt":0.250412336382534,"score_spread":0.2297146838040307,"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."}}