{"id":"W3164991651","doi":"","title":"Calidad de Vida en Pacientes Terminales: Generación de Conocimiento con Minería de Datos","year":2020,"lang":"es","type":"article","venue":"Revista Aristas","topic":"Aging, Health, and Disability","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Geography; Philosophy","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"],"consensus_categories":[],"category_scores_codex":[0.001753525,0.0005094036,0.001074153,0.00007729496,0.0002577583,0.0002779827,0.0004101399,0.0003244616,0.0006666488],"category_scores_gemma":[0.0031955,0.0004918957,0.0003355621,0.0003344288,0.0004211246,0.0001319625,0.0001525685,0.0006910365,0.0002910298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108513,"about_ca_system_score_gemma":0.001900081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001151888,"about_ca_topic_score_gemma":0.00002932251,"domain_scores_codex":[0.9954866,0.00092743,0.001038471,0.0008990486,0.0004308095,0.001217663],"domain_scores_gemma":[0.9962193,0.0007630407,0.0003939804,0.0008404741,0.0001486289,0.001634549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005121127,0.0005309072,0.9095622,0.01121348,0.0001693438,0.0005064189,0.01560297,0.00001488955,0.01006252,0.005943893,0.03974866,0.006132639],"study_design_scores_gemma":[0.002844252,0.0008697505,0.07838657,0.001574691,0.001314911,0.0002678211,0.00753104,0.008107772,0.003621638,0.0001904042,0.8943102,0.0009809406],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707813,0.01137441,0.005528683,0.008109571,0.0001201852,0.0009666584,0.0004065779,0.0001545449,0.002558054],"genre_scores_gemma":[0.9835133,0.00155408,0.001929213,0.01074193,0.001257573,0.00004321052,0.0002377808,0.00007594004,0.0006469693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8545615,"threshold_uncertainty_score":0.9997533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02897598902587991,"score_gpt":0.3339288978618283,"score_spread":0.3049529088359484,"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."}}