{"id":"W2736679501","doi":"","title":"メタボリックシンドロームにおける眼疾患；レニン・アンジオテンシン系に着目して","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":"Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002902577,0.0004614447,0.0005222724,0.0002314712,0.000344217,0.00001295239,0.0006755127,0.0004976587,0.00645037],"category_scores_gemma":[0.0001257452,0.0004741325,0.0001812625,0.0004229188,0.000636732,0.000267206,0.0001144805,0.001248907,0.002285429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007926668,"about_ca_system_score_gemma":0.0001351768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006245128,"about_ca_topic_score_gemma":0.0000109408,"domain_scores_codex":[0.9975645,0.00007633119,0.0005612875,0.0004672152,0.0004679819,0.0008626714],"domain_scores_gemma":[0.9987733,0.0001457804,0.00006148929,0.0006057482,0.00005277824,0.0003608725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000285342,0.0009170382,0.005825909,0.001636265,0.002330246,0.008217806,0.01579151,0.001713505,0.01315829,0.03855479,0.8708947,0.04067461],"study_design_scores_gemma":[0.006964529,0.0006139168,0.008005392,0.0004786346,0.0005707334,0.002981887,0.003301246,0.03862916,0.0167364,0.009074766,0.9096605,0.002982882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3944339,0.04843153,0.0007516986,0.00394809,0.005432707,0.0005463295,0.0001013574,0.002631895,0.5437225],"genre_scores_gemma":[0.9799635,0.0160106,0.0005128636,0.0003962495,0.0007780711,0.00004140412,0.00002790573,0.00006764781,0.002201717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5855297,"threshold_uncertainty_score":0.9997711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199174474513095,"score_gpt":0.2525828626005497,"score_spread":0.2305911178554187,"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."}}