{"id":"W2760578557","doi":"10.1145/3292480","title":"Functional Characterization of Deformation Fields","year":2019,"lang":"en","type":"preprint","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"King Abdullah University of Science and Technology","keywords":"Pointwise; Deformation (meteorology); Representation (politics); Curvilinear coordinates; Operator (biology); Computer science; Field (mathematics); Distortion (music); Computation; Free-form deformation; Mathematics; Geometry; Algorithm; Mathematical analysis; Pure mathematics; Physics","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":[0.00163672,0.0008923843,0.0005850125,0.002469461,0.0005982347,0.00200329,0.00113943,0.001483447,0.004788234],"category_scores_gemma":[0.003101367,0.0003300684,0.0008090629,0.0009568485,0.002403782,0.00405626,0.001941541,0.001801006,0.0009489287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008319094,"about_ca_system_score_gemma":0.0005031818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004232859,"about_ca_topic_score_gemma":0.0002580008,"domain_scores_codex":[0.9990631,0.0002172291,0.00007174702,0.000257664,0.000313284,0.00007712432],"domain_scores_gemma":[0.9986745,0.0003468363,0.0002166838,0.0002967845,0.0003279537,0.0001372825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002555681,0.00002975014,0.0003816096,0.00008991384,0.00001183912,0.0001104463,0.0001617921,0.03028392,0.01164911,0.9129853,0.00114876,0.0431219],"study_design_scores_gemma":[0.000009611524,0.000105812,0.0006457643,0.00004884375,0.00001483118,0.0005280481,0.0001425922,0.4153961,0.006747134,0.5577739,0.01853733,0.00004993162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01243519,0.0001498459,0.9828095,0.0001899938,0.0000639736,0.00002907804,0.00007679806,0.0001289471,0.004116783],"genre_scores_gemma":[0.652473,0.001141077,0.327746,0.0003785598,0.0004875493,0.0002195591,0.0005737141,0.0006409785,0.01633968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004788234,"threshold_uncertainty_score":0.01601821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02114099718251912,"score_gpt":0.2131944364230437,"score_spread":0.1920534392405245,"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."}}