{"id":"W2961837636","doi":"10.18146/2213-0969.2018.jethc152","title":"Narratological Approaches to Multimodal Cross-Cultural Comparisons of Global TV Formats","year":2018,"lang":"en","type":"article","venue":"VIEW Journal of European Television History and Culture","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sketch; Annotation; Narrative; Computer science; Comedy; Linguistics; Multimedia; Artificial intelligence; Visual arts; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.0003768098,0.0001392665,0.0003092942,0.00002453429,0.000346848,0.00008601015,0.0001713018,0.00003038209,0.000566156],"category_scores_gemma":[0.00003722395,0.00008146889,0.0001241898,0.00003667034,0.0004997118,0.0005342562,0.00004337553,0.000174803,0.00003696723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003239524,"about_ca_system_score_gemma":0.0000145754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004946833,"about_ca_topic_score_gemma":0.00003146217,"domain_scores_codex":[0.9988886,0.0001752348,0.0004967537,0.000119908,0.0001965075,0.0001229705],"domain_scores_gemma":[0.9990124,0.0000265344,0.0004234117,0.00008399523,0.0003424551,0.0001112054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0012861,0.0005388427,0.004888355,0.0002987912,0.0003330489,0.00005986868,0.1843308,0.00003385873,0.0004061124,0.06840738,0.5671303,0.1722865],"study_design_scores_gemma":[0.0003771002,0.0005542053,0.004057503,0.00008682908,0.00004092371,0.00006444168,0.003186199,0.000009744776,0.000008091225,0.00003480771,0.9914687,0.0001114859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5396699,0.05303827,0.000481121,0.001418984,0.001921528,0.0002437285,0.00007539034,0.00004330879,0.4031077],"genre_scores_gemma":[0.9970335,0.0003722476,0.0009927162,0.0003736138,0.0006707261,3.903637e-7,0.000001685019,0.000006303536,0.0005487552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4573636,"threshold_uncertainty_score":0.6199011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1730523975519221,"score_gpt":0.3123625460640551,"score_spread":0.139310148512133,"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."}}