{"id":"W2793938800","doi":"10.1016/j.rmclc.2018.02.003","title":"FARMACOTERAPIA ANTI HIPERTENSIVA PARA LA PREVENCIÓN DE LA MUERTE CARDÍACA SÚBITA EN PACIENTES HIPERTENSOS","year":2018,"lang":"es","type":"article","venue":"Revista Médica Clínica Las Condes","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Humanities; Art","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":[0.0003160043,0.0002077977,0.0006415436,0.0003454629,0.0001523539,0.0003227191,0.0001678841,0.0003026573,0.002625144],"category_scores_gemma":[0.0008424007,0.00007043128,0.0004157321,0.0002380884,0.0001125486,0.0001293191,0.0001007639,0.0005134071,0.0002123522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001813634,"about_ca_system_score_gemma":0.0003327911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008918683,"about_ca_topic_score_gemma":0.001807874,"domain_scores_codex":[0.9998958,0.00003605716,0.00001305139,0.00001802604,0.00002187424,0.00001518385],"domain_scores_gemma":[0.9996613,0.0001506474,0.0001000539,0.000009193133,0.00004085687,0.0000378061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02521126,0.003358703,0.05764063,0.005755466,0.0031369,0.001714586,0.0002113241,0.0003869236,0.04943243,0.0008837609,0.007261456,0.8450066],"study_design_scores_gemma":[0.01152049,0.06527845,0.7328575,0.00639105,0.01963699,0.0137501,0.0009107775,0.002090242,0.03189541,0.002534577,0.1130085,0.0001259997],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5027719,0.4795017,0.001448592,0.004665666,0.001216212,0.0001350123,0.000534235,0.00008092829,0.0096458],"genre_scores_gemma":[0.8553642,0.1334556,0.003052668,0.002726437,0.001327259,0.0001140972,0.0003751345,0.00001359169,0.003571005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002625144,"threshold_uncertainty_score":0.00878197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01809872434074642,"score_gpt":0.3292009238537411,"score_spread":0.3111021995129946,"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."}}