{"id":"W3024188083","doi":"10.5546/aap.2019.e425","title":"Validación transcultural del Cuestionario de Enseñanza Clínica de Maastricht","year":2019,"lang":"es","type":"article","venue":"Archivos Argentinos de Pediatria","topic":"Innovations in Medical Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Cronbach's alpha; Confirmatory factor analysis; Reliability (semiconductor); Variance (accounting); Adaptation (eye); Psychology; Construct validity; Medical education; Content validity; Structural equation modeling; Clinical psychology; Medicine; Psychometrics; Statistics; Mathematics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001835481,0.0005231376,0.0006302247,0.0004896382,0.0002911445,0.0001331216,0.0005820027,0.0004676191,0.002645439],"category_scores_gemma":[0.001993547,0.0005194466,0.0003862371,0.0009469595,0.0002047822,0.0002115225,0.0001096048,0.00151487,0.002170838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006412083,"about_ca_system_score_gemma":0.002317589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002867146,"about_ca_topic_score_gemma":0.00000831061,"domain_scores_codex":[0.995098,0.0004840957,0.001165321,0.000765759,0.0008827965,0.001604052],"domain_scores_gemma":[0.9975067,0.0003975865,0.0004020935,0.0008328126,0.0003223796,0.000538449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003669713,0.0008606638,0.9214576,0.0008487824,0.0003149472,0.00005374907,0.005759325,0.0001652616,0.01233352,0.01215567,0.03585225,0.00983129],"study_design_scores_gemma":[0.005708749,0.0005873664,0.8847863,0.0004555038,0.001786418,0.0006031751,0.0009952027,0.009719169,0.001413489,0.003087695,0.08986452,0.0009924158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978384,0.001017231,0.005598831,0.005535618,0.002534862,0.001263237,0.00008339187,0.0001783192,0.005404518],"genre_scores_gemma":[0.9603992,0.001025595,0.0257641,0.002111641,0.005244553,0.0001086003,0.0004824862,0.0001067426,0.00475708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05401227,"threshold_uncertainty_score":0.9997257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105910177132852,"score_gpt":0.2935090100007294,"score_spread":0.2829179922874442,"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."}}