{"id":"W4297846303","doi":"10.1111/cgf.14505","title":"Neural Fields in Visual Computing and Beyond","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":449,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Computer science; Artificial intelligence; Field (mathematics); Artificial neural network; Flexibility (engineering); Focus (optics); Context (archaeology); Animation; Rotation formalisms in three dimensions; Representation (politics); Computer graphics (images)","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":[0.0008293438,0.0004514507,0.0004727974,0.001724782,0.0004098366,0.002561189,0.0007256243,0.001368769,0.004053639],"category_scores_gemma":[0.002098612,0.0001770994,0.0004180255,0.001620451,0.00233857,0.002822986,0.0008639284,0.002210203,0.000725845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106623,"about_ca_system_score_gemma":0.000611435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0016423,"about_ca_topic_score_gemma":0.0008338729,"domain_scores_codex":[0.9995713,0.0001525976,0.00003045097,0.00009056003,0.0001270676,0.00002810566],"domain_scores_gemma":[0.9988223,0.0007273612,0.0000651219,0.00009222278,0.0002396228,0.00005346921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003825824,0.00002557421,0.0003955909,0.000957502,0.00004429226,0.0001224409,0.0002424489,0.008156686,0.002078583,0.7689034,0.02095645,0.1980788],"study_design_scores_gemma":[0.000009130345,0.0000262752,0.0004830015,0.000531178,0.00001177393,0.0001468499,0.0000844371,0.01654496,0.0009469842,0.8624122,0.118774,0.00002925882],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01733728,0.5289167,0.3175806,0.02690107,0.004058872,0.00006525395,0.0004128484,0.0007099633,0.1040174],"genre_scores_gemma":[0.455843,0.3662696,0.1284765,0.006593299,0.009249022,0.0002582755,0.0005946057,0.0002542735,0.03246138],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004053639,"threshold_uncertainty_score":0.01356083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0124974533324949,"score_gpt":0.2798334793443295,"score_spread":0.2673360260118346,"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."}}