{"id":"W3031712484","doi":"10.36829/63cts.v7i1.915","title":"Condiciones laborales de los pacientes con ERCnT que asisten a la Unidad Nacional de Atención al Enfermo renal Crónico (Unaerc)","year":2020,"lang":"es","type":"article","venue":"Ciencia Tecnologí­a y Salud","topic":"Public Health and Social Inequalities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Humanities; Medicine; 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":[0.0006758805,0.0001832994,0.0003487873,0.000537448,0.0009032204,0.0006230373,0.0001951895,0.000381912,0.001049417],"category_scores_gemma":[0.002663672,0.0001676555,0.0002121997,0.0007759915,0.0004214188,0.0002819099,0.0004391125,0.0003091275,0.0001891667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007771575,"about_ca_system_score_gemma":0.0008730141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01633149,"about_ca_topic_score_gemma":0.01914463,"domain_scores_codex":[0.999392,0.0001907585,0.00005101766,0.00008230814,0.0000813033,0.0002026738],"domain_scores_gemma":[0.9987153,0.0003584359,0.0005820675,0.00005812445,0.0001415861,0.0001445265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000835687,0.00004032744,0.997135,0.00001235172,0.000005758051,0.0002058469,0.000528257,0.00001259263,0.0001596791,0.00001621798,0.00005774332,0.001742603],"study_design_scores_gemma":[0.00000629321,0.0002550767,0.9965211,0.00002353666,0.00001383167,0.0008154236,0.001712973,0.00007138787,0.0001352563,0.00003421022,0.0004063024,0.000004634533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998854,0.0004024882,0.00004554545,0.0000649461,0.000003101941,0.00001104056,0.00007900212,0.000001697036,0.0005381175],"genre_scores_gemma":[0.9990127,0.0003495399,0.00007926971,0.0000845781,0.000007572113,0.0000183382,0.00009872465,8.022951e-7,0.0003483805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01633149,"threshold_uncertainty_score":0.03247285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0583091088479699,"score_gpt":0.371666910931449,"score_spread":0.3133578020834791,"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."}}