{"id":"W2925934255","doi":"10.1016/j.nefro.2019.03.001","title":"Carga, acceso y disparidades en enfermedad renal","year":2019,"lang":"es","type":"article","venue":"Nefrología","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"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":[0.00298276,0.0001183664,0.0002232386,0.001378008,0.001279517,0.002438412,0.0003434368,0.00102871,0.005586793],"category_scores_gemma":[0.01772796,0.000153902,0.0002140638,0.001937169,0.001808559,0.001423717,0.001179636,0.001541416,0.0003826113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001418799,"about_ca_system_score_gemma":0.002998749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0348427,"about_ca_topic_score_gemma":0.03802515,"domain_scores_codex":[0.9980585,0.0009661209,0.0001788759,0.0001174909,0.000451858,0.0002271476],"domain_scores_gemma":[0.9955963,0.001790144,0.001284136,0.0001476512,0.0006517319,0.0005300241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006151972,0.000293879,0.5103695,0.00103735,0.0001058147,0.004352925,0.04058518,0.0002336315,0.000534743,0.02992181,0.06271005,0.3492398],"study_design_scores_gemma":[0.00005194408,0.0002039765,0.524659,0.004829905,0.0001543615,0.01052989,0.09944003,0.00032883,0.0002950186,0.009585108,0.3498278,0.00009408387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4599219,0.1804685,0.0005214615,0.237438,0.002589287,0.0000442844,0.0009004266,0.00006638588,0.1180498],"genre_scores_gemma":[0.9075615,0.07696721,0.0005905242,0.004613843,0.001268231,0.00002115623,0.0001766514,0.00002345782,0.008777389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0348427,"threshold_uncertainty_score":0.06927979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009001055669613645,"score_gpt":0.2700703277344114,"score_spread":0.2610692720647977,"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."}}