{"id":"W3030491942","doi":"10.36829/63cts.v7i1.917","title":"Caracterización de factores sociodemográficos, epidemiológicos y clínicos de pacientes masculinos con ERCnT en la Unidad Nacional de Atención al Enfermo Renal Crónico","year":2020,"lang":"es","type":"article","venue":"Ciencia Tecnologí­a y Salud","topic":"Health and Lifestyle Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.006319268,0.001153005,0.001887686,0.0003730067,0.002562054,0.0001089971,0.001532932,0.002116715,0.0005463941],"category_scores_gemma":[0.01484613,0.001082331,0.0007061603,0.0009658302,0.001382655,0.0003991783,0.001046144,0.004699954,0.0008517614],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001885548,"about_ca_system_score_gemma":0.008278656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001220472,"about_ca_topic_score_gemma":0.0001142729,"domain_scores_codex":[0.9830746,0.007272673,0.002322173,0.001772554,0.001031989,0.004526023],"domain_scores_gemma":[0.9889298,0.006043185,0.001089247,0.0008951768,0.0004848939,0.002557661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00045278,0.0004181187,0.91355,0.001303379,0.000293352,0.0002767185,0.02586866,0.00004545979,0.01840767,0.007040668,0.02073472,0.01160848],"study_design_scores_gemma":[0.002166302,0.0008417503,0.8443487,0.0008185815,0.0002466349,0.00009272392,0.01058154,0.004503402,0.0007525674,0.0005909085,0.1339429,0.001113977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9197119,0.003617725,0.001975598,0.06958911,0.0008478511,0.001800635,0.001033546,0.0007311465,0.0006924178],"genre_scores_gemma":[0.9544972,0.006193931,0.00224312,0.0341072,0.002087894,0.0003780781,0.0001660081,0.0001490215,0.0001775336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1132082,"threshold_uncertainty_score":0.9999262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06342865758505226,"score_gpt":0.3929948915805352,"score_spread":0.329566233995483,"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."}}