{"id":"W4413144822","doi":"10.1109/cvpr52734.2025.02234","title":"Mind the Time: Temporally-Controlled Multi-Event Video Generation","year":2025,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Event (particle physics)","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":[0.0003399062,0.00006871013,0.000104345,0.00006013194,0.0001244741,0.0002696164,0.0004945525,0.00002586855,0.0001336441],"category_scores_gemma":[0.00007910019,0.00004026524,0.0000542742,0.0003091676,0.0000167866,0.000200594,0.0001358951,0.00003729403,0.0002357963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001537852,"about_ca_system_score_gemma":0.00007222521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009353091,"about_ca_topic_score_gemma":0.00002452376,"domain_scores_codex":[0.9993144,0.00006947496,0.000205831,0.000181549,0.0001323094,0.00009641185],"domain_scores_gemma":[0.9994235,0.00005027775,0.00004974118,0.0003789847,0.00007117781,0.0000263095],"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":[0.00001586955,0.0004295665,0.0004670885,0.000009697078,0.0001629862,0.000005601487,0.0003935232,0.002339887,0.00762446,0.4689229,0.42839,0.09123838],"study_design_scores_gemma":[0.0009872004,0.000007526247,0.00009113031,0.000003576129,0.000007711455,3.472984e-7,0.000007443023,0.9442787,0.001478455,0.0001358683,0.05295015,0.00005193641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000409318,0.00004396658,0.9886847,0.006555851,0.0001768532,0.00018081,0.000001316337,0.00004655317,0.003900691],"genre_scores_gemma":[0.440069,0.00003338591,0.08533598,0.01982689,0.000197077,0.000050118,0.00008534551,0.0000107689,0.4543914],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9419388,"threshold_uncertainty_score":0.3030763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02403372347275792,"score_gpt":0.3138316349936845,"score_spread":0.2897979115209266,"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."}}