{"id":"W3207508543","doi":"10.15353/cjds.v10i2.801","title":"Saying “Thank You” for Quality Closed Captions: A Promising Shift in Inviting Access","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Disability Studies","topic":"Subtitles and Audiovisual Media","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Closed captioning; Film director; Quality (philosophy); Compliance (psychology); Focus (optics); Computer science; Movie theater; Internet privacy; Media studies; Sociology; Psychology; Visual arts; Artificial intelligence; Art; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009127397,0.0001237214,0.0004095325,0.00008507961,0.0003959046,0.0002286905,0.0001542935,0.00002659129,0.0001718891],"category_scores_gemma":[0.003165027,0.000108266,0.0001659258,0.00007712348,0.000457266,0.0003525603,0.0000296884,0.0001767166,0.000001690503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004265342,"about_ca_system_score_gemma":0.0005040681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006238732,"about_ca_topic_score_gemma":0.6647968,"domain_scores_codex":[0.9986539,0.0001236512,0.0006175013,0.0001662449,0.0001314497,0.0003072544],"domain_scores_gemma":[0.9985406,0.0005432074,0.0002147356,0.0001290118,0.0003899056,0.0001825341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000953446,0.00028736,0.5595798,0.001508172,0.0006422018,0.0001487606,0.347762,0.00006359752,0.0001130132,0.05542321,0.002753419,0.03162309],"study_design_scores_gemma":[0.002739783,0.0002176887,0.2436291,0.001758835,0.0002159169,0.00002671348,0.600912,0.00002924137,0.0004884301,0.08684222,0.06230882,0.0008312927],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882994,0.003877863,0.00001285791,0.005734878,0.0009194243,0.0001787851,0.00007075338,0.00000558796,0.0009004595],"genre_scores_gemma":[0.9986796,0.00003745544,0.00009789037,0.0003140506,0.0007551819,0.00001472232,0.000003967836,0.00001165766,0.0000854751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6585581,"threshold_uncertainty_score":0.9431139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3092969000456901,"score_gpt":0.4111844856793573,"score_spread":0.1018875856336672,"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."}}