{"id":"W2467670140","doi":"","title":"糖尿病性腎症の進展予測マーカー：アルブミン尿とeGFRどちらが有用か，それらに代わるマーカーはないか","year":2016,"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":[0.001055199,0.000238356,0.0001919366,0.0006945292,0.001817724,0.003084393,0.0003881085,0.000886722,0.01378639],"category_scores_gemma":[0.001949107,0.0001985701,0.0002485605,0.0004665471,0.00317224,0.001825265,0.0007580532,0.001075388,0.004060323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001756866,"about_ca_system_score_gemma":0.002535636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004421095,"about_ca_topic_score_gemma":0.003282513,"domain_scores_codex":[0.9993019,0.00010115,0.00003936124,0.0001378872,0.0003430359,0.00007667628],"domain_scores_gemma":[0.9988998,0.0002276343,0.000135097,0.0001045573,0.0005034991,0.0001294098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001356884,0.0001484064,0.006185124,0.0002869423,0.00005004053,0.0006099066,0.003725409,0.001340535,0.02067172,0.7682354,0.01271515,0.1858957],"study_design_scores_gemma":[0.00004025977,0.0003766736,0.01899637,0.0002221462,0.0001049517,0.001492162,0.007296578,0.002377917,0.05154977,0.3156845,0.6017431,0.000115627],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1137138,0.00551776,0.0410678,0.009259303,0.001232093,0.0001834174,0.0002370273,0.0001813269,0.8286075],"genre_scores_gemma":[0.753186,0.003888878,0.02166804,0.00193414,0.000502875,0.00009255221,0.0001270313,0.00005173713,0.2185488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01378639,"threshold_uncertainty_score":0.04612005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01575867654314462,"score_gpt":0.2530569427343409,"score_spread":0.2372982661911963,"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."}}