{"id":"W7131280181","doi":"10.71068/hnapt02","title":"Entornos Virtuales de Aprendizaje (EVA): Una revisión del estado del arte en dieciséis países","year":2025,"lang":"","type":"article","venue":"Sapiens in Education","topic":"Educational Innovations and Technology","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Virtual learning environment; Relevance (law); Virtual reality; Reading (process); Focus (optics); Virtual machine; Augmented reality","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":[0.001467102,0.0004199684,0.0004159377,0.00219643,0.0005155833,0.0003870633,0.001628507,0.0005060031,0.0001513763],"category_scores_gemma":[0.001895657,0.0005089453,0.0001257161,0.004518045,0.0003869439,0.0008309982,0.000412118,0.0007006851,0.0001544842],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555085,"about_ca_system_score_gemma":0.007452446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006256451,"about_ca_topic_score_gemma":0.0003564283,"domain_scores_codex":[0.996113,0.0004143099,0.001152592,0.001073501,0.0003902299,0.0008563595],"domain_scores_gemma":[0.9964283,0.0007692967,0.0004013842,0.001494189,0.0007554578,0.0001514076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00000793457,0.001242938,0.02830192,0.0001218681,0.0000389173,0.000002514999,0.003704729,0.00008983722,0.0002688602,0.5986833,0.01082828,0.3567089],"study_design_scores_gemma":[0.001031164,0.0002543358,0.3757169,0.003697335,0.0001472371,0.00007216653,0.00978243,0.01285371,0.002986453,0.32283,0.2691441,0.001484188],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7068694,0.01732287,0.2000652,0.05007534,0.0122088,0.001591402,0.00004214514,0.0003332548,0.01149161],"genre_scores_gemma":[0.9497656,0.003094189,0.03759763,0.00195015,0.0004971636,0.0003687837,0.00007754924,0.00002897744,0.006619926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3552247,"threshold_uncertainty_score":0.9997362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064333450485385,"score_gpt":0.3177042740130208,"score_spread":0.307060939508167,"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."}}