{"id":"W2936069080","doi":"","title":"Aprendizaje autodirigido como estrategia de educación continua en educación medica","year":2018,"lang":"es","type":"dissertation","venue":"","topic":"Health and Medical Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accreditation; Population; Process (computing); Psychology; Pedagogy; Medical education; Mathematics education; Medicine; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003928063,0.0004166063,0.0003018536,0.0009913491,0.001218816,0.003562368,0.0007217051,0.001438153,0.01103022],"category_scores_gemma":[0.007695338,0.0001314317,0.0007007976,0.0006231974,0.001509322,0.001432876,0.001782118,0.002590989,0.002364149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00138976,"about_ca_system_score_gemma":0.005466669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001911748,"about_ca_topic_score_gemma":0.004105739,"domain_scores_codex":[0.9981605,0.0009283152,0.00008454022,0.0001798471,0.0004813049,0.0001655637],"domain_scores_gemma":[0.9952369,0.002339308,0.0005556721,0.0003291096,0.001008182,0.0005307435],"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":[0.0002379271,0.001773421,0.004814787,0.002324628,0.00004046009,0.0006492562,0.03600202,0.0006574274,0.003929683,0.04216139,0.03115833,0.8762507],"study_design_scores_gemma":[0.0002958713,0.001738423,0.02717027,0.007639413,0.0002269821,0.001938507,0.03964787,0.001936722,0.007156696,0.0363704,0.8757888,0.00009017056],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.245905,0.03785391,0.03782314,0.05484574,0.005400102,0.001419785,0.0002487976,0.001349619,0.6151539],"genre_scores_gemma":[0.7015821,0.04717418,0.05647122,0.004922235,0.001971494,0.0006272998,0.0002717184,0.0001831694,0.1867964],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01103022,"threshold_uncertainty_score":0.03689981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0307407251884847,"score_gpt":0.4584676906436099,"score_spread":0.4277269654551252,"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."}}