{"id":"W4417400266","doi":"10.5377/ryr.v1i62.21754","title":"Implementación de la inteligencia artificial en la educación superior: el caso de la Universidad Francisco Gavidia","year":2025,"lang":"","type":"article","venue":"Realidad y Reflexión","topic":"E-Learning and Knowledge Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences","funders":"","keywords":"Persona; Context (archaeology); Population","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006306215,0.0008555239,0.0008392374,0.0009235521,0.0009636077,0.001806923,0.0025095,0.0006647049,0.0003843238],"category_scores_gemma":[0.0005564932,0.0009645426,0.0004540203,0.002050121,0.0009721393,0.0005013217,0.002035525,0.00162914,0.0003817123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618495,"about_ca_system_score_gemma":0.00262167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003113637,"about_ca_topic_score_gemma":0.0004864216,"domain_scores_codex":[0.9900062,0.004949771,0.00105957,0.00155347,0.0006773943,0.001753608],"domain_scores_gemma":[0.9952416,0.002002337,0.0003139846,0.001652682,0.0002336893,0.0005556811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001977307,0.0008372616,0.008451931,0.0004073716,0.0004825631,0.000862628,0.02338161,0.0005788369,0.005582124,0.592424,0.01532197,0.351472],"study_design_scores_gemma":[0.002729037,0.0007641089,0.01929596,0.001547249,0.0007691555,0.0003511113,0.01572157,0.02145243,0.01769067,0.0372135,0.8801844,0.002280873],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3476145,0.002661657,0.1564718,0.004478156,0.002741052,0.001137823,0.00008680105,0.0007391086,0.4840691],"genre_scores_gemma":[0.9832093,0.0008718868,0.005340384,0.0005747381,0.0006598089,0.00005078539,0.00002344548,0.00007897659,0.009190748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8648624,"threshold_uncertainty_score":0.9992805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298758981273887,"score_gpt":0.3498187410656176,"score_spread":0.3368311512528787,"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."}}