{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001612679,0.00006854718,0.00007664131,0.00009819193,0.0001075745,0.00007629563,0.000325523,0.00003541935,0.000003076947],"category_scores_gemma":[0.00008092955,0.00006495108,0.00003195396,0.0002729401,0.00002936445,0.0006443906,0.0001043126,0.00004488353,0.00002142837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002355672,"about_ca_system_score_gemma":0.00005699457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.781854e-7,"about_ca_topic_score_gemma":6.746664e-7,"domain_scores_codex":[0.9993193,0.000006925427,0.000127319,0.0002436351,0.0001320699,0.0001707531],"domain_scores_gemma":[0.9995003,0.00007378972,0.00004098699,0.0002086252,0.0001408107,0.00003552986],"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":[0.00001824109,0.00005747622,0.00006965825,0.00004627472,0.00001637197,0.000005592884,0.0003941318,0.006295034,0.02681153,0.7956899,0.144006,0.02658972],"study_design_scores_gemma":[0.0001170415,0.00002119989,0.00003760522,0.000004669239,0.000001108479,0.000002602975,0.000003785663,0.6553706,0.002547999,0.3410885,0.0007563337,0.00004856363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001345266,0.000006663761,0.9942935,0.0009494626,0.0000634843,0.0001982535,0.00002141687,0.003177912,0.001154787],"genre_scores_gemma":[0.1351066,0.000003543691,0.8600289,0.0004050495,0.00002979726,0.0001825555,0.00003848623,0.000008503314,0.00419654],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6490756,"threshold_uncertainty_score":0.2648628,"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."}}