{"id":"W3023116155","doi":"","title":"Caracterización de pacientes con enfermedad cerebrovascular isquémica y deterioro cognitivo. Cienfuegos, 2018","year":2020,"lang":"es","type":"article","venue":"Medisur","topic":"Aging, Health, and Disability","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Dementia; Depression (economics); Stroke (engine); Montreal Cognitive Assessment; Disease; Risk factor; Psychiatry; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001048449,0.0006393145,0.001215709,0.0001040544,0.0003076457,0.0001305191,0.0004003169,0.0004302439,0.002455588],"category_scores_gemma":[0.002742328,0.0005877285,0.0004880448,0.000487565,0.0008607723,0.0002351599,0.0002112641,0.0008135908,0.001199423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003377885,"about_ca_system_score_gemma":0.001221109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004894339,"about_ca_topic_score_gemma":0.00003299254,"domain_scores_codex":[0.9948686,0.0005382999,0.0009632587,0.001182902,0.0009736252,0.001473355],"domain_scores_gemma":[0.9961876,0.0004000991,0.0002986586,0.0008147095,0.0002875598,0.002011362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006173224,0.0007483765,0.9304944,0.004656733,0.0003433197,0.000244798,0.01431746,5.882896e-7,0.02326471,0.0002101091,0.005831618,0.01927058],"study_design_scores_gemma":[0.00726909,0.00193246,0.8185762,0.001341193,0.001383927,0.0001846356,0.006594819,0.002158836,0.01579036,0.0001345611,0.143289,0.001344909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815652,0.002167982,0.0006661034,0.008267989,0.0011558,0.001173243,0.0002940878,0.0002724943,0.004437151],"genre_scores_gemma":[0.985854,0.001158097,0.0002020731,0.01009808,0.002100635,0.000056585,0.0002424179,0.0001006472,0.0001874579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1374574,"threshold_uncertainty_score":0.9996574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0303378106685937,"score_gpt":0.297764061056206,"score_spread":0.2674262503876123,"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."}}