{"id":"W289273921","doi":"10.1177/0145482x1210600304","title":"LiveDescribe: Can Amateur Describers Create High-Quality Audio Description?","year":2012,"lang":"en","type":"article","venue":"Journal of Visual Impairment & Blindness","topic":"Subtitles and Audiovisual Media","field":"Arts and Humanities","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Amateur; Quality (philosophy); Computer science; Usability; Entertainment; Software; Multimedia; Tone (literature); Process (computing); Human–computer interaction; Linguistics; Visual arts","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001516465,0.0003591917,0.0006564448,0.0003178122,0.0003723402,0.0004123783,0.000331146,0.0001040495,0.002401278],"category_scores_gemma":[0.0001265676,0.0002738244,0.0003569462,0.0001203904,0.0002563789,0.001195473,0.00009126824,0.0004181787,0.000139848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002755069,"about_ca_system_score_gemma":0.0001529348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004705521,"about_ca_topic_score_gemma":0.0001758951,"domain_scores_codex":[0.9968657,0.0002737746,0.001101601,0.0001964906,0.0008078795,0.0007545468],"domain_scores_gemma":[0.9976696,0.0001357314,0.0008698384,0.0002096511,0.0005330727,0.0005820923],"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":[0.004635945,0.07221504,0.1413483,0.001424579,0.003953349,0.0005713397,0.428653,0.000109314,0.03722001,0.111054,0.1589698,0.03984544],"study_design_scores_gemma":[0.02323066,0.03512396,0.241496,0.002841685,0.002982779,0.001067384,0.2176672,0.0001441376,0.03827323,0.007387467,0.4239384,0.005847185],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913327,0.0006174676,0.0001637584,0.0004966825,0.005542483,0.0002232401,0.00003901091,0.00005679232,0.001527888],"genre_scores_gemma":[0.9916388,0.000124858,0.0001796789,0.0006567955,0.004682083,0.00001118012,0.00001654971,0.00005326562,0.002636727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2649686,"threshold_uncertainty_score":0.9999714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07526795196098893,"score_gpt":0.3166988360624652,"score_spread":0.2414308841014763,"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."}}