{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000415946,0.00008495332,0.0001296947,0.0001807612,0.00003550496,0.00001696871,0.00008056969,0.00005839738,0.00003176491],"category_scores_gemma":[9.323401e-7,0.00008718469,0.00009499461,0.0002624276,0.00001747141,0.0000639022,0.00002212007,0.00008378331,0.00001784414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000086192,"about_ca_system_score_gemma":0.0000078328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001873083,"about_ca_topic_score_gemma":0.000003469644,"domain_scores_codex":[0.9994568,0.00000929165,0.0001737203,0.0001109819,0.0001340051,0.0001152129],"domain_scores_gemma":[0.9996781,0.00002032838,0.0000301262,0.0001617834,0.00008058098,0.00002907625],"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":[0.000001446614,0.000007824388,0.003257783,0.00004620074,0.00007842283,2.027231e-7,0.000041738,0.9715637,0.0002685399,0.02198454,0.001582393,0.001167205],"study_design_scores_gemma":[0.0001635779,0.00001491177,0.003072087,0.00001840696,0.00001693425,0.000001186211,0.000008249841,0.9863151,0.000161184,0.009788024,0.0003492447,0.00009103167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07689973,0.00009245113,0.9219714,0.00007438016,0.0006329209,0.00005527697,0.000009416312,0.0001305439,0.0001338635],"genre_scores_gemma":[0.9954538,0.00000625234,0.004213536,0.00005863946,0.00005639038,0.000001380485,0.0001268474,0.00001510887,0.00006806335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9185541,"threshold_uncertainty_score":0.3555288,"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."}}