{"id":"W4402753403","doi":"10.1109/cvpr52733.2024.01041","title":"Understanding Video Transformers via Universal Concept Discovery","year":2024,"lang":"en","type":"article","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Transformer; Electrical engineering; Engineering; Voltage","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":[],"consensus_categories":[],"category_scores_codex":[0.0001110307,0.00007807684,0.00008488814,0.0001296924,0.00008688946,0.000527262,0.0002141304,0.00003350551,0.00007617252],"category_scores_gemma":[0.000002932575,0.00006215742,0.00009950101,0.0005475127,0.00003178559,0.001888855,0.00003258497,0.00006366784,0.00003028499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001388051,"about_ca_system_score_gemma":0.00005896085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005174998,"about_ca_topic_score_gemma":0.00004920143,"domain_scores_codex":[0.9992732,0.00002336551,0.0001216966,0.0002535741,0.00018035,0.0001478162],"domain_scores_gemma":[0.9997473,0.00005533135,0.00001129336,0.0001278283,0.00001154322,0.00004671791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001050459,0.000007472749,0.00008855298,0.000008110524,0.00005329165,0.00002029295,0.0007851434,0.0006070271,0.0006272596,0.9837875,0.002304538,0.01170972],"study_design_scores_gemma":[0.0001334548,0.00003279101,0.00006619658,0.00002630518,0.00002765245,0.000005062869,0.0004994188,0.974602,0.001158962,0.01821952,0.005044805,0.0001838241],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001956199,0.0001048266,0.9815922,0.001948222,0.0003133795,0.00004356768,0.000001202077,0.0001977476,0.01560325],"genre_scores_gemma":[0.99569,0.00002728597,0.001446493,0.0002031103,0.00003293736,7.824976e-7,0.00000593096,0.000005068572,0.002588375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9954944,"threshold_uncertainty_score":0.50844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03574541325534394,"score_gpt":0.2353369493637386,"score_spread":0.1995915361083947,"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."}}