{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000513142,0.0002213282,0.0002572016,0.0007760109,0.0005009067,0.0002740141,0.0009745652,0.00006702021,0.000005793245],"category_scores_gemma":[0.000004544253,0.0002515415,0.00009978779,0.001466274,0.00006681193,0.0003336044,0.002951546,0.000500515,6.370957e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002870912,"about_ca_system_score_gemma":0.00003624813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003972218,"about_ca_topic_score_gemma":0.00003103962,"domain_scores_codex":[0.9979532,0.0001830586,0.0004074773,0.0006201394,0.0003762447,0.0004598164],"domain_scores_gemma":[0.9991525,0.0001380806,0.0001244582,0.0004169508,0.00005781451,0.000110231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000395391,0.0001282258,0.02183024,0.0000127089,0.00001096399,0.00004166582,0.0007601617,0.0002812027,0.000003388419,0.9354498,0.001855722,0.03962198],"study_design_scores_gemma":[0.0003745995,0.0003882911,0.008077885,0.000008152249,0.000002063466,0.0000725943,0.00003279283,0.9512183,0.00002941775,0.03627683,0.00322763,0.0002914478],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09912791,0.0002587464,0.8979622,0.001193978,0.0007590124,0.0002254818,0.000002497215,0.0003695991,0.0001005968],"genre_scores_gemma":[0.9852602,0.0000281221,0.009613379,0.004980073,0.00006286727,0.00002048867,0.00001014344,0.00001669986,0.000008060646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9509371,"threshold_uncertainty_score":0.9999937,"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."}}