{"id":"W4385804842","doi":"10.1109/cvprw59228.2023.00368","title":"A unified model for continuous conditional video prediction","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Autoregressive model; Interpolation (computer graphics); Artificial intelligence; Pixel; Reference frame; Frame (networking); Context (archaeology); Hidden Markov model; Context model; Pattern recognition (psychology); Computer vision; Machine learning; Image (mathematics); Mathematics; Statistics","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":[0.0009724781,0.0007231405,0.0007835791,0.0005422974,0.0002880512,0.001115797,0.002154009,0.001124666,0.003434125],"category_scores_gemma":[0.002921862,0.0004499339,0.0007941145,0.0008269713,0.0007441952,0.001881382,0.001135508,0.001701846,0.0008673721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040613,"about_ca_system_score_gemma":0.001321825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01336493,"about_ca_topic_score_gemma":0.01117765,"domain_scores_codex":[0.9995766,0.00007158866,0.00002195581,0.0001803627,0.00008876099,0.00006072951],"domain_scores_gemma":[0.9993218,0.0002988535,0.00007743856,0.0000810532,0.0001708615,0.00004999666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002038944,0.00009584046,0.00174598,0.0001090798,0.00007150461,0.0001442696,0.0001332294,0.8070378,0.005551181,0.08353121,0.005126664,0.09624928],"study_design_scores_gemma":[0.000004177706,0.00001135585,0.00009902342,0.00000411789,0.000006713958,0.00001514112,0.000003056787,0.9929664,0.0002789228,0.006283076,0.0003232764,0.000004777984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01167865,0.0003630698,0.9838746,0.0003698562,0.00008826233,0.00003357618,0.0003922628,0.0007158886,0.002483899],"genre_scores_gemma":[0.8061972,0.001048024,0.1793704,0.0003007401,0.0001807251,0.0002693394,0.001420813,0.000186672,0.01102617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01336493,"threshold_uncertainty_score":0.02657431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03262310185084839,"score_gpt":0.3002368214360245,"score_spread":0.2676137195851762,"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."}}