{"id":"W4402915476","doi":"10.1109/icip51287.2024.10647939","title":"A Dataset for Understanding Open UGC Video Datasets","year":2024,"lang":"en","type":"article","venue":"","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Google (Canada)","funders":"","keywords":"Computer science; World Wide Web; Data science","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":[0.00117208,0.001402355,0.0007133703,0.002676734,0.0008936951,0.001154025,0.002046505,0.002067902,0.007019017],"category_scores_gemma":[0.005039639,0.0002593261,0.001015144,0.003084248,0.0005959285,0.001133266,0.001647853,0.002089704,0.00666351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486099,"about_ca_system_score_gemma":0.001209807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0197734,"about_ca_topic_score_gemma":0.03551117,"domain_scores_codex":[0.998675,0.000210643,0.0001414865,0.0003474559,0.0004484746,0.0001769693],"domain_scores_gemma":[0.9979857,0.0004013024,0.0001881857,0.00067107,0.0005938647,0.0001598274],"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":[0.0008478222,0.0009825553,0.009899453,0.001537992,0.0001945557,0.0006732093,0.0002547326,0.02113178,0.009238889,0.006496404,0.8012103,0.1475323],"study_design_scores_gemma":[0.0004963673,0.0005919477,0.05057799,0.0006471063,0.0001450939,0.001764269,0.0007207281,0.1159198,0.02018563,0.01044427,0.7982247,0.0002820768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05353608,0.00211115,0.02615524,0.0009893385,0.0007695106,0.001445637,0.8879194,0.01093077,0.0161429],"genre_scores_gemma":[0.03624877,0.0003727386,0.01870971,0.0002061778,0.00007700027,0.0006448916,0.9412058,0.0002873203,0.002247506],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0197734,"threshold_uncertainty_score":0.03931659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1162041960950212,"score_gpt":0.3432519436716087,"score_spread":0.2270477475765875,"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."}}