{"id":"W2905555054","doi":"10.4018/978-1-4666-8499-7.ch004","title":"The Removal of Target Language Captioning Supports","year":2015,"lang":"en","type":"book-chapter","venue":"Advances in educational technologies and instructional design book series","topic":"Subtitles and Audiovisual Media","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Closed captioning; Computer science; Comprehension; Perception; Artificial intelligence; Psychology; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0001604039,0.0002086008,0.0002412403,0.0001507624,0.0002542129,0.00005432501,0.0001868517,0.0001287075,0.0006932454],"category_scores_gemma":[0.0001420255,0.0001553657,0.0000498112,0.00002007869,0.001638844,0.0006453358,0.00007509251,0.0002508579,0.000009667531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000711843,"about_ca_system_score_gemma":0.0002175437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001294727,"about_ca_topic_score_gemma":0.0001301197,"domain_scores_codex":[0.998978,0.00001166342,0.0003538953,0.0002318185,0.0002659559,0.0001586376],"domain_scores_gemma":[0.9991384,0.0002120342,0.000267639,0.0001746169,0.0001842216,0.00002315946],"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":[0.00003386301,0.000007926746,0.000007470314,0.00003030758,0.00002135687,0.000005089638,0.0006237315,0.00002112515,0.00000672573,0.9446746,0.002542349,0.05202548],"study_design_scores_gemma":[0.00005228862,0.00005281461,0.000006133027,0.00008040483,0.000006691438,0.00008384365,0.004408058,0.000002190967,0.00003618699,0.3818483,0.6133091,0.0001139921],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004698169,0.2965656,0.00003578798,0.002874747,0.002608648,0.0004104626,0.0001560986,0.0001499915,0.6967289],"genre_scores_gemma":[0.0058437,0.07385403,0.01197646,0.00007126523,0.001096222,0.0001164323,0.0001686035,0.00006563721,0.9068077],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6107668,"threshold_uncertainty_score":0.7590551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02695487832502222,"score_gpt":0.2613314466196551,"score_spread":0.2343765682946329,"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."}}