{"id":"W2897683730","doi":"10.1145/3240508.3240551","title":"Video Forecasting with Forward-Backward-Net","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Consistency (knowledge bases); Margin (machine learning); Artificial intelligence; Field (mathematics); Machine learning; Deep learning; Mathematics","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":[0.0001679845,0.0001304892,0.0001151778,0.00007172425,0.0001644987,0.0001793505,0.0007691234,0.00003276267,0.00002577717],"category_scores_gemma":[0.00006934861,0.00009465334,0.00002152826,0.000392915,0.0001386662,0.001127745,0.0002831048,0.00008611516,0.00006250767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000286909,"about_ca_system_score_gemma":0.00005796662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001010569,"about_ca_topic_score_gemma":0.00001583235,"domain_scores_codex":[0.9989563,0.00001372963,0.0001382205,0.000375896,0.0002053485,0.0003104761],"domain_scores_gemma":[0.9990655,0.00004495897,0.00007294194,0.000517455,0.0002285355,0.00007063732],"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":[0.00005289503,0.000115183,0.004269409,0.00007108509,0.00004314179,0.00007812485,0.001728388,0.00001456181,0.007284764,0.07726935,0.02880863,0.8802645],"study_design_scores_gemma":[0.0007042463,0.001466483,0.0003250554,0.0002228452,0.00001246237,0.0003807942,0.00005633847,0.5237637,0.2731221,0.1470593,0.05190517,0.000981475],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007412145,0.00002279117,0.9637806,0.0004601599,0.00005824925,0.00009551887,2.484786e-7,0.001306658,0.0335346],"genre_scores_gemma":[0.224951,0.000001082616,0.7736714,0.0005913206,0.0000782788,0.0000129468,3.080985e-7,0.0000119093,0.0006817318],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.879283,"threshold_uncertainty_score":0.3859851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0219897296878837,"score_gpt":0.2625773168169543,"score_spread":0.2405875871290706,"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."}}