{"id":"W3202025918","doi":"10.1145/3480147","title":"Neural UpFlow","year":2021,"lang":"en","type":"article","venue":"Proceedings of the ACM on Computer Graphics and Interactive Techniques","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université de Montréal; Autodesk (Canada)","funders":"","keywords":"Interpolation (computer graphics); Computer science; Solver; Inference; Event (particle physics); Algorithm; Constraint (computer-aided design); Flow (mathematics); Advection; Artificial intelligence; Motion (physics); Mathematics; Physics; Geometry","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":[0.0006104324,0.001080081,0.0007245109,0.0008726656,0.0006232392,0.001396169,0.002045454,0.001275154,0.01074762],"category_scores_gemma":[0.002417074,0.0005727955,0.001009274,0.0006152933,0.0006244066,0.001694452,0.001656852,0.001716892,0.002106384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001255674,"about_ca_system_score_gemma":0.001406456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007829271,"about_ca_topic_score_gemma":0.01001307,"domain_scores_codex":[0.9996606,0.00004065182,0.00001713378,0.0001068225,0.0001255622,0.00004919503],"domain_scores_gemma":[0.999634,0.0001321309,0.00002901586,0.00008055926,0.00009536363,0.00002894668],"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":[0.0001617131,0.0001193951,0.001067386,0.0001338182,0.00005652933,0.0001845414,0.00005521936,0.7303625,0.006582856,0.02425927,0.01227434,0.2247425],"study_design_scores_gemma":[0.000003722952,0.000007925529,0.00003324496,0.000005352692,0.000002876937,0.00001110859,0.000002529629,0.9930056,0.00127654,0.004072382,0.001575585,0.000003204601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01090802,0.0003992982,0.9744334,0.0003459872,0.0001926989,0.00009885331,0.0009760633,0.005495563,0.00715005],"genre_scores_gemma":[0.361072,0.0007017686,0.6166892,0.0006439961,0.0001350018,0.0004633212,0.004620405,0.001192012,0.01448224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01074762,"threshold_uncertainty_score":0.03595436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774362951002298,"score_gpt":0.2816955249838836,"score_spread":0.2639518954738607,"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."}}