{"id":"W3198435904","doi":"","title":"Agent Forecasting at Flexible Horizons using ODE Flows","year":2021,"lang":"en","type":"article","venue":"International Conference on Machine Learning","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; Simon Fraser University","funders":"","keywords":"Ode; Computer science; Mathematical optimization; Applied mathematics; 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":[0.001150583,0.000453747,0.0008204084,0.0007023528,0.0004342296,0.001385106,0.0006452309,0.001222468,0.001714815],"category_scores_gemma":[0.00615941,0.0004959393,0.0005936847,0.0005903221,0.0006237247,0.002346865,0.0006671132,0.001330659,0.0002000817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009642746,"about_ca_system_score_gemma":0.0007184648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01451584,"about_ca_topic_score_gemma":0.006261476,"domain_scores_codex":[0.9998166,0.00006181617,0.00001275618,0.00004159231,0.00003510549,0.0000320832],"domain_scores_gemma":[0.9981345,0.001351399,0.0001497429,0.00009056709,0.0001732729,0.0001005277],"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":[0.00003816694,0.0000157351,0.0008560182,0.00001219609,0.00001315338,0.00003898948,0.0000163944,0.9796274,0.0003398225,0.01360207,0.0002295791,0.005210507],"study_design_scores_gemma":[0.000001078892,0.000001842753,0.0000515468,0.000001043526,9.004318e-7,0.000001792847,0.000001158882,0.9978478,0.00004531553,0.001990797,0.00005546914,0.000001241409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3470426,0.000855629,0.6409188,0.001201933,0.0004016591,0.00003844249,0.0004027952,0.0004207284,0.008717296],"genre_scores_gemma":[0.9815808,0.0002997035,0.01390958,0.00004738205,0.0000424948,0.00001740692,0.0001500659,0.00003288529,0.00391968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01451584,"threshold_uncertainty_score":0.02886271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.374095457171261,"score_gpt":0.4602687704201341,"score_spread":0.08617331324887317,"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."}}