{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008849558,0.0001737427,0.0002239556,0.0004169029,0.00005003274,0.00002197204,0.000172423,0.0003539579,0.00009645704],"category_scores_gemma":[0.000005587437,0.0001848663,0.0002490635,0.0002329274,0.00001690814,0.00008837216,0.000006144545,0.0005716938,0.00002631057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002953143,"about_ca_system_score_gemma":0.00002259923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001088546,"about_ca_topic_score_gemma":0.00001091396,"domain_scores_codex":[0.9991773,0.0000171503,0.0003204025,0.0001581965,0.0002181052,0.0001088175],"domain_scores_gemma":[0.9992328,0.00003633372,0.00007338262,0.0005260349,0.0001005586,0.00003085409],"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":[0.000007626598,0.00003441352,0.00003740813,0.0002656516,0.0001818435,1.30974e-7,0.0001231641,0.9915277,0.0008807734,0.00003675339,0.00003380726,0.006870672],"study_design_scores_gemma":[0.0001992798,0.00003196741,0.002040438,0.0001928413,0.0002439057,0.00000152195,0.00002220701,0.9884114,0.006107459,0.002311667,0.0001181926,0.0003190968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1848456,0.00002802622,0.8137392,0.0001187133,0.0007687241,0.00009688811,0.0001259376,0.0001542043,0.0001226733],"genre_scores_gemma":[0.9981304,0.0007341537,0.0004025134,0.00005567655,0.00004476538,0.00002593006,0.0004879114,0.00002695545,0.00009165479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8133367,"threshold_uncertainty_score":0.753863,"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."}}