{"id":"W2964549097","doi":"10.24875/nefro.m18000004","title":"Carga, acceso y disparidades en la enfermedad renal","year":2019,"lang":"es","type":"article","venue":"Nefrología Latinoamericana","topic":"Health, Medicine and Society","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002440395,0.0001997253,0.0002788069,0.001501401,0.001507866,0.002699692,0.0002911765,0.001504252,0.006808995],"category_scores_gemma":[0.009128422,0.0001852173,0.0003295606,0.001718913,0.002393059,0.001268117,0.001239295,0.001884522,0.0003861278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002319725,"about_ca_system_score_gemma":0.002305428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04341989,"about_ca_topic_score_gemma":0.04177145,"domain_scores_codex":[0.9987423,0.0005287973,0.00007648097,0.00009524667,0.0002859211,0.0002712709],"domain_scores_gemma":[0.9973099,0.001100368,0.0007869917,0.0001218852,0.0004109313,0.0002699697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001202034,0.0006496214,0.6364601,0.0008821217,0.0001463559,0.006939076,0.02976382,0.000377998,0.001657064,0.06032689,0.0162013,0.2453936],"study_design_scores_gemma":[0.0001421676,0.0003970681,0.6072397,0.003314853,0.0002754392,0.01512411,0.07491022,0.0007068824,0.0005248172,0.01373199,0.2835323,0.0001004756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.762217,0.06875615,0.000533482,0.05290681,0.0006971703,0.00002862034,0.0006080328,0.00005068866,0.1142021],"genre_scores_gemma":[0.9572394,0.03339609,0.0005063578,0.001615669,0.000853922,0.00001586824,0.0001362675,0.00001693637,0.006219393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04341989,"threshold_uncertainty_score":0.08633435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01960759118024573,"score_gpt":0.368062577263575,"score_spread":0.3484549860833293,"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."}}