{"id":"W2307928973","doi":"","title":"糖尿病治療のパラダイムシフト：SGLT2阻害薬の臨床的意義と可能性について（総説）","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":[0.0007440052,0.0003263518,0.0003153626,0.0002844417,0.0004413368,0.0009264122,0.0002348217,0.0004197433,0.004384016],"category_scores_gemma":[0.0008138663,0.0001779496,0.0005812586,0.0002951225,0.0006648017,0.0005175006,0.0002736335,0.0008913293,0.001612414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006318375,"about_ca_system_score_gemma":0.0005992188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002165394,"about_ca_topic_score_gemma":0.001536939,"domain_scores_codex":[0.9996428,0.00004968091,0.00003596034,0.00009084211,0.000126696,0.00005395883],"domain_scores_gemma":[0.9996209,0.00008691732,0.00007522103,0.000044513,0.000121528,0.00005090841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00230837,0.0003184732,0.02965735,0.0007142923,0.0003367641,0.001878774,0.0006208206,0.001290364,0.7532336,0.009586419,0.008515221,0.1915396],"study_design_scores_gemma":[0.0001834769,0.001484733,0.06345256,0.00009365309,0.0003028177,0.003247905,0.000573173,0.00331462,0.8559992,0.006843442,0.06441803,0.00008636231],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.8442956,0.01922519,0.04762034,0.003746839,0.001516442,0.0002331793,0.001706537,0.0008932351,0.08076255],"genre_scores_gemma":[0.9660152,0.00335173,0.01030098,0.0008160073,0.0003378238,0.0001032075,0.001022023,0.00007259522,0.01798037],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004384016,"threshold_uncertainty_score":0.01466596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582649590257975,"score_gpt":0.253217112530854,"score_spread":0.2373906166282743,"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."}}