{"id":"W4287509673","doi":"10.1145/3532719.3543238","title":"DynaPix: Normal Map Pixelization for Dynamic Lighting","year":2022,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Workflow; Computer graphics (images); Extension (predicate logic); Flexibility (engineering); Pixel; Computer vision; Game engine; Artificial intelligence; Multimedia; Database; Programming language; Mathematics","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":[0.0003082572,0.00007800273,0.00007749841,0.0001854962,0.0004331594,0.0001249788,0.0006164216,0.0000186973,0.00004587021],"category_scores_gemma":[0.000007071555,0.00008165567,0.00005998935,0.0004325477,0.000008112579,0.0002399799,0.0005416022,0.00006013581,0.000002360109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004155084,"about_ca_system_score_gemma":0.00003336259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007734161,"about_ca_topic_score_gemma":0.000005652656,"domain_scores_codex":[0.9991651,0.00003849429,0.0001828939,0.0002604859,0.0001854738,0.0001675663],"domain_scores_gemma":[0.999502,0.00004743116,0.00007409541,0.0002632598,0.00007885392,0.00003437069],"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":[0.000001754184,0.00003865843,0.0001447397,0.00001055383,0.00000486565,6.69631e-7,0.0002110949,0.000159638,0.0001527146,0.9856705,0.002944975,0.01065985],"study_design_scores_gemma":[0.0001300439,0.0001445868,0.0001115732,0.000002170883,0.000001578324,0.000004947873,0.00001721535,0.9370335,0.0006359199,0.01959466,0.04220055,0.0001232191],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008782941,0.00003972038,0.9967499,0.0006744992,0.0003850468,0.0002330302,0.00000347357,0.0005924664,0.0004436181],"genre_scores_gemma":[0.8586885,0.000007659134,0.1387731,0.001192007,0.0000376268,0.0002154411,0.0000490679,0.00001497396,0.001021581],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9660758,"threshold_uncertainty_score":0.3331556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119907419169313,"score_gpt":0.2759094838012437,"score_spread":0.2647104096095506,"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."}}