{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008535949,0.001794525,0.001078043,0.0009045869,0.0005827492,0.0008081067,0.002375591,0.001551547,0.0035932],"category_scores_gemma":[0.002008697,0.0006740119,0.001020672,0.0009251694,0.0004906452,0.001998237,0.001039677,0.002064038,0.001564109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00135113,"about_ca_system_score_gemma":0.001198262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02567131,"about_ca_topic_score_gemma":0.03042488,"domain_scores_codex":[0.9997918,0.00002404755,0.00001364634,0.00009235862,0.00004506152,0.00003312052],"domain_scores_gemma":[0.99949,0.0002007254,0.00005147833,0.00007809688,0.0001353411,0.00004426547],"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":[0.0003466527,0.0001661371,0.002129712,0.0001026094,0.0001008091,0.0001716693,0.00005966538,0.6855365,0.003720212,0.004623467,0.008071532,0.294971],"study_design_scores_gemma":[0.00000534482,0.00001633579,0.00007992759,0.000005290593,0.000008498919,0.00001009704,0.000003868473,0.9964813,0.0006239918,0.002387528,0.0003737317,0.000004150947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05701448,0.001998595,0.9236761,0.001275544,0.0004065291,0.000155834,0.001642492,0.007694606,0.00613569],"genre_scores_gemma":[0.6886199,0.0009988109,0.2918667,0.0007606121,0.0003056333,0.0001907797,0.00564987,0.000378255,0.01122938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02567131,"threshold_uncertainty_score":0.05104375,"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."}}