{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002636962,0.0002334617,0.000275316,0.0002756871,0.0001718854,0.0003467025,0.0022817,0.00009252367,0.000002406264],"category_scores_gemma":[0.0001261669,0.0001761247,0.0001944023,0.0008800375,0.0001257342,0.0005888006,0.003379238,0.0003461192,3.374541e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001821616,"about_ca_system_score_gemma":0.00002544592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009431731,"about_ca_topic_score_gemma":9.968649e-7,"domain_scores_codex":[0.9985704,0.00002751899,0.0003431867,0.0005312865,0.0003190863,0.0002084927],"domain_scores_gemma":[0.9979448,0.0001411307,0.000283389,0.000722273,0.0008396429,0.00006875885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000872732,0.0001335947,0.002112475,0.00003917378,0.00003691047,0.000001799039,0.000293542,1.116961e-7,0.002419519,0.958398,0.005610146,0.03094601],"study_design_scores_gemma":[0.0002122834,0.0006329292,0.008733562,0.0004562976,0.00001664172,0.0001091075,0.00002223641,0.07500331,0.637803,0.2661585,0.01040955,0.0004425282],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.349626,0.0003355672,0.6325138,0.01058313,0.001187151,0.0009550572,0.00001383527,0.001849048,0.002936501],"genre_scores_gemma":[0.90381,0.0002759022,0.09298044,0.002736791,0.0001084889,0.00002994712,0.000001165813,0.00001989433,0.00003733754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6922395,"threshold_uncertainty_score":0.7182156,"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."}}