{"id":"W1967658532","doi":"10.1504/ijshc.2008.020484","title":"Described Video Information and animation: a case study of Odd Job Jack","year":2008,"lang":"en","type":"article","venue":"International Journal of Social and Humanistic Computing","topic":"Subtitles and Audiovisual Media","field":"Arts and Humanities","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Entertainment; Animation; Multimedia; Computer science; Track (disk drive); Product (mathematics); Motion picture; Advertising; Computer graphics (images); Visual arts; Mathematics; Computer vision; Art; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001159281,0.0009786764,0.0005266959,0.001439377,0.005807505,0.002242532,0.001210913,0.00324433,0.005501416],"category_scores_gemma":[0.006285204,0.0006758103,0.000631433,0.001063733,0.001878314,0.001584241,0.001853232,0.002066215,0.001073408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320437,"about_ca_system_score_gemma":0.0006891658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01176494,"about_ca_topic_score_gemma":0.02748294,"domain_scores_codex":[0.9989232,0.0003924624,0.00005748117,0.00009135842,0.0001944392,0.0003409047],"domain_scores_gemma":[0.9974227,0.001180102,0.0003565414,0.0001386203,0.0001397752,0.000762219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008898966,0.004041696,0.0873616,0.0005946964,0.00004988828,0.5668984,0.2739613,0.0007822226,0.007805777,0.005213828,0.006200231,0.04620048],"study_design_scores_gemma":[0.00007925369,0.001831125,0.0489841,0.0004316428,0.00006705473,0.5576599,0.3403288,0.00304934,0.006262097,0.001182152,0.03994364,0.0001809722],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918209,0.0001987939,0.0009798728,0.0008979759,0.00004679457,0.0000696413,0.00006154316,0.00002376489,0.005900747],"genre_scores_gemma":[0.9892907,0.0006063723,0.001963273,0.000397387,0.00005801104,0.00004333219,0.0000624629,0.00005746317,0.007521052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01176494,"threshold_uncertainty_score":0.02339292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07402967007468694,"score_gpt":0.2961818754739889,"score_spread":0.2221522053993019,"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."}}