{"id":"W34574592","doi":"10.3390/ijerph18189669","title":"ارتباط اندازه LDL با کنترل گلیسمی در بیماران دیابتی نوع دو","year":2005,"lang":"en","type":"article","venue":"مجله دیابت و متابولیسم ایران","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0008158374,0.0004430083,0.0002170344,0.0008133953,0.002145997,0.002480432,0.0003753681,0.0007064009,0.04681078],"category_scores_gemma":[0.001374396,0.0003550047,0.0002792067,0.001091692,0.001318348,0.0005065599,0.0005948265,0.001453632,0.0157651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004107411,"about_ca_system_score_gemma":0.005049078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1469467,"about_ca_topic_score_gemma":0.2783037,"domain_scores_codex":[0.9989668,0.0001237832,0.00005227145,0.0001178243,0.0005886828,0.000150649],"domain_scores_gemma":[0.9990779,0.0001254864,0.000187886,0.00003859944,0.000485933,0.00008407897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001190608,0.0003596684,0.02870188,0.001318796,0.00008060041,0.009862626,0.01417593,0.001680574,0.2483558,0.02745939,0.03654793,0.6302661],"study_design_scores_gemma":[0.00008153092,0.000413444,0.2085199,0.0007243852,0.00006982426,0.004811589,0.02135751,0.001780316,0.057081,0.006374322,0.6985778,0.000208329],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5547549,0.008209557,0.03676581,0.008516959,0.00157329,0.0006874945,0.002976644,0.0005107666,0.3860046],"genre_scores_gemma":[0.6207652,0.009771237,0.03811928,0.001363514,0.0002759039,0.0005996404,0.002676412,0.0003850757,0.3260437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1469467,"threshold_uncertainty_score":0.2921828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008469699392760233,"score_gpt":0.2342073820299806,"score_spread":0.2257376826372204,"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."}}