{"id":"W4287509650","doi":"10.1145/3532719.3543260","title":"Parallax Background Texture Generation","year":2022,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Parallax; Computer science; Texture (cosmology); Artificial intelligence; Computer vision; Computer graphics (images); Image (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001562813,0.0008398107,0.0005837086,0.0007569672,0.0003691018,0.0008957099,0.0008425725,0.0005186736,0.0757633],"category_scores_gemma":[0.0008627335,0.0002273835,0.0002982355,0.0007652077,0.0001573041,0.0005418804,0.0007255027,0.0006997152,0.01492504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002847494,"about_ca_system_score_gemma":0.0003397836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002079796,"about_ca_topic_score_gemma":0.003156538,"domain_scores_codex":[0.9998565,0.0000142022,0.000003896824,0.00003146305,0.00006382965,0.00003007449],"domain_scores_gemma":[0.9997366,0.00004977501,0.00001245231,0.00007508066,0.00008125381,0.00004485533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001423757,0.0001183889,0.0004680606,0.0003378287,0.00002410962,0.0003060653,0.0000587481,0.007742617,0.1731386,0.006632673,0.04263574,0.7671134],"study_design_scores_gemma":[0.0007353241,0.0007502576,0.005296959,0.0001929034,0.0001175217,0.001623095,0.0001324811,0.3761516,0.3817889,0.01077058,0.2223362,0.000104172],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02201637,0.000969002,0.886245,0.0004771487,0.0007979722,0.0003823183,0.001762055,0.0233184,0.06403176],"genre_scores_gemma":[0.3846157,0.001534503,0.491866,0.0004212574,0.0003185952,0.0003019916,0.005698229,0.009265587,0.1059783],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0757633,"threshold_uncertainty_score":0.2534535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.044249761364964,"score_gpt":0.2956092454362536,"score_spread":0.2513594840712896,"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."}}