{"id":"W4402715898","doi":"10.1109/cvpr52733.2024.00409","title":"Neural Fields as Distributions: Signal Processing Beyond Euclidean Space","year":2024,"lang":"en","type":"article","venue":"","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Google","keywords":"Signal processing; Computer science; Euclidean distance; Multidimensional signal processing; Space (punctuation); SIGNAL (programming language); Euclidean space; Artificial intelligence; Computer vision; Mathematics; Digital signal processing; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0000592541,0.00009703429,0.00008931144,0.00006161621,0.0000620241,0.0001702857,0.00006686353,0.00005254294,0.0003961571],"category_scores_gemma":[0.000006273822,0.00008303222,0.00007631017,0.0002453625,0.00001168182,0.0001253776,0.00001390361,0.0001635124,0.000152157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002412942,"about_ca_system_score_gemma":0.00001542206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002570233,"about_ca_topic_score_gemma":0.00001276132,"domain_scores_codex":[0.999475,0.000005665479,0.0001193054,0.0001334906,0.00009985713,0.0001666732],"domain_scores_gemma":[0.9998197,0.00002422154,0.000004344303,0.00007773067,0.00001920843,0.00005479797],"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":[0.000003799617,0.00002850765,0.0001691801,0.000456506,0.0001944657,0.0001633082,0.0007188296,0.6529499,0.001703002,0.005934048,0.03169569,0.3059827],"study_design_scores_gemma":[0.00002671259,0.00000830508,0.000006609798,0.00003695836,0.00003602596,0.00001111399,0.00006199766,0.9946516,0.0009334837,0.001761232,0.00234899,0.0001170285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06877002,0.004610993,0.8946402,0.001298157,0.0001642555,0.00004346823,0.00001156351,0.001469259,0.02899206],"genre_scores_gemma":[0.9970654,0.00003076246,0.0005918918,0.00005758114,0.0001369395,0.000004752085,0.00002165276,0.00001694932,0.002074108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9282953,"threshold_uncertainty_score":0.4337642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009021734574199332,"score_gpt":0.2359853513942637,"score_spread":0.2269636168200643,"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."}}