{"id":"W7139979111","doi":"10.19083/tesis/686959","title":"La risa en palabras: estudio contrastivo de la audiodescripción en inglés y en español de cuatro comedias cinematográficas Misterio a bordo (2019), Misterio a la vista (2023), Tiempo para mí (2022) y Hombre de Toronto","year":2025,"lang":"","type":"dissertation","venue":"Universidad Peruana de Ciencias Aplicadas (UPC)","topic":"Humor Studies and Applications","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Persona; Context (archaeology); Exhibition; Opera","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","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.004230774,0.002237981,0.00273747,0.0008536426,0.001956222,0.0007527735,0.003421375,0.003127109,0.002597783],"category_scores_gemma":[0.001513678,0.002671344,0.001219968,0.001799767,0.001203762,0.0003279578,0.000723918,0.003312882,0.0001781378],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006695145,"about_ca_system_score_gemma":0.005296211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02413924,"about_ca_topic_score_gemma":0.01555992,"domain_scores_codex":[0.9855825,0.004820622,0.001910473,0.00315489,0.001125738,0.003405827],"domain_scores_gemma":[0.9880967,0.006064434,0.00139644,0.002382296,0.0005309826,0.001529134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005084068,0.00733158,0.05489601,0.00360062,0.008564299,0.006700852,0.508217,0.0002773079,0.06225989,0.0613419,0.254027,0.02769947],"study_design_scores_gemma":[0.00539039,0.0005643472,0.2250488,0.001283508,0.002530145,0.0008071489,0.2434982,0.0007600037,0.0003060952,0.0002291916,0.5169073,0.002674842],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8306771,0.01215873,0.00977286,0.00247653,0.0007579298,0.003702716,0.001707953,0.0005630607,0.1381831],"genre_scores_gemma":[0.9483981,0.008466655,0.00245127,0.001196984,0.0007447009,0.001023541,0.0007816922,0.0003275335,0.0366095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2647188,"threshold_uncertainty_score":0.9993431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009442547458292228,"score_gpt":0.3188530865075634,"score_spread":0.3094105390492712,"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."}}