{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001686847,0.00005712814,0.00005160599,0.00009253756,0.0002715077,0.0001601768,0.0005041144,0.00001375085,0.0002073981],"category_scores_gemma":[0.000001084771,0.00005531067,0.00003432934,0.0004139902,0.000006481844,0.0001910659,0.0004439908,0.00007196145,0.000006161843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002404048,"about_ca_system_score_gemma":0.00002568272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001499886,"about_ca_topic_score_gemma":0.000004712786,"domain_scores_codex":[0.9993296,0.00005620284,0.0001061446,0.0002086397,0.0002036365,0.000095799],"domain_scores_gemma":[0.999598,0.00001024902,0.00003322994,0.0002949983,0.00003355561,0.00002991937],"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":[2.065138e-7,0.00002248768,0.00007699682,6.466288e-7,0.000002264023,0.000001642461,0.00007894343,0.00005948278,0.0001978436,0.961753,0.03087079,0.006935732],"study_design_scores_gemma":[0.000076515,0.00008962819,0.0002462738,4.338038e-7,7.848549e-7,0.00001455171,0.0000113672,0.8298987,0.0008721609,0.01327747,0.1553922,0.0001199569],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003283348,0.00005239742,0.993277,0.0005376238,0.0002512504,0.00007758143,7.651483e-7,0.0003789227,0.002141083],"genre_scores_gemma":[0.9674671,0.00001040143,0.02885812,0.002430423,0.00008198066,0.0000442066,0.00001383131,0.000005163433,0.001088785],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9644189,"threshold_uncertainty_score":0.2270864,"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."}}