{"id":"W4404445945","doi":"10.4018/ijswis.359768","title":"Multi Frame Obscene Video Detection With ViT","year":2024,"lang":"en","type":"article","venue":"International Journal on Semantic Web and Information Systems","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Frame (networking); Speech recognition; Multimedia; Telecommunications","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005017196,0.0001226967,0.0001373918,0.0006030762,0.000131762,0.002990104,0.0003127996,0.00006122982,0.00000913823],"category_scores_gemma":[0.00004271022,0.00008541538,0.00006201225,0.0002887151,0.00001682993,0.004880589,0.00004445968,0.0002086961,0.0001481147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009840726,"about_ca_system_score_gemma":0.00007595103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002473439,"about_ca_topic_score_gemma":0.000006185454,"domain_scores_codex":[0.9984832,0.00005275454,0.0004984792,0.0001354346,0.0007069336,0.000123244],"domain_scores_gemma":[0.9991078,0.00006132005,0.0002001677,0.0001282988,0.0004132343,0.00008916441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000275974,0.0002753971,0.004769934,0.0004674618,0.002468447,0.0004050327,0.008618383,0.04422186,0.01182154,0.2941195,0.004942808,0.6276137],"study_design_scores_gemma":[0.0004202566,0.0001114702,0.001350897,0.0003470508,0.00001457824,0.0007552089,0.0001328027,0.908674,0.0002525229,0.00006981667,0.0877333,0.0001381004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02424319,0.0002191646,0.9702223,0.001075683,0.002699675,0.0001067509,0.000004804363,0.0001141133,0.00131431],"genre_scores_gemma":[0.9979312,0.0002312902,0.000952008,0.0004116055,0.000261473,0.000006861847,0.000008465848,0.000005491829,0.0001915648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9736881,"threshold_uncertainty_score":0.9980449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008566037662878046,"score_gpt":0.233516258240884,"score_spread":0.224950220578006,"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."}}