{"id":"W2967600135","doi":"10.1111/cgf.13788","title":"Structured Regularization of Functional Map Computations","year":2019,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Pointwise; Regularization (linguistics); Laplace operator; Computation; Isometry (Riemannian geometry); Algorithm; Range (aeronautics); Resolvent; Mathematics; Computer science; Operator (biology); Applied mathematics; Mathematical optimization; Artificial intelligence; Pure mathematics; Mathematical analysis","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":[0.001672955,0.0005798831,0.0006044941,0.0008001839,0.0003685057,0.0009340886,0.0008026814,0.001392483,0.001660323],"category_scores_gemma":[0.00596536,0.0003197156,0.0005211542,0.0004400868,0.001475654,0.001220959,0.001647542,0.001168507,0.0003727523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005925139,"about_ca_system_score_gemma":0.0006036001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009642508,"about_ca_topic_score_gemma":0.0007637754,"domain_scores_codex":[0.9994308,0.0002775537,0.00001921311,0.00008655944,0.0001476609,0.00003823823],"domain_scores_gemma":[0.9982993,0.001032837,0.0001149614,0.0002949434,0.0001857257,0.00007220563],"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":[0.0001241763,0.00005304741,0.0004922693,0.000116542,0.00004194551,0.0001043831,0.0001319049,0.741797,0.01310148,0.1941819,0.001498066,0.04835723],"study_design_scores_gemma":[0.000002970375,0.00000943178,0.00003891361,0.000003423762,0.000001142718,0.00001015901,0.000006746899,0.979118,0.0007453567,0.01974771,0.0003133592,0.000002796081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02042301,0.00006769026,0.9776148,0.0001793486,0.00002350082,0.00001523541,0.00001741257,0.0001277702,0.001531279],"genre_scores_gemma":[0.7314948,0.0001840627,0.2635698,0.0001547603,0.00008165785,0.00009927959,0.0001191832,0.0002780488,0.004018357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001672955,"threshold_uncertainty_score":0.008847535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006929192074449981,"score_gpt":0.1818960821202616,"score_spread":0.1749668900458116,"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."}}