{"id":"W2750484719","doi":"","title":"IgA腎症；エビデンスに基づく新たな予後分類（透析導入リスクの層別化）","year":2010,"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":"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":[0.0006591477,0.0005243024,0.0004747896,0.0008891362,0.001210216,0.003460188,0.0005711017,0.0009567072,0.007666477],"category_scores_gemma":[0.0009707442,0.0002329134,0.0005214596,0.0005535181,0.001968389,0.001688509,0.0008736352,0.001482225,0.002316006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689991,"about_ca_system_score_gemma":0.001120367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002715368,"about_ca_topic_score_gemma":0.001027409,"domain_scores_codex":[0.9994565,0.00008024992,0.00002208957,0.0001315778,0.0001272527,0.0001824573],"domain_scores_gemma":[0.9995695,0.00006369484,0.00006091295,0.00003669097,0.0001799855,0.0000893145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004793067,0.0002847641,0.01445061,0.001060172,0.0003696896,0.001357144,0.003638278,0.003756435,0.4253278,0.306652,0.008789972,0.2338338],"study_design_scores_gemma":[0.00007646798,0.0009990416,0.03975204,0.0002561268,0.0004118542,0.003152154,0.007579856,0.005399918,0.4159634,0.1686541,0.357585,0.0001699871],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5293675,0.01845737,0.04038239,0.009951325,0.002126102,0.0001252046,0.0003240507,0.0005117232,0.3987544],"genre_scores_gemma":[0.9356579,0.002768333,0.009260114,0.0009899479,0.0003645276,0.00003979705,0.00009939756,0.00004509309,0.05077491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007666477,"threshold_uncertainty_score":0.02564687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01234920423782966,"score_gpt":0.2546902642171618,"score_spread":0.2423410599793321,"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."}}