{"id":"W2141091947","doi":"10.1145/1328202.1328236","title":"Adaptive multiple texture approach to texture packing for 3D video games","year":2007,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Texture filtering; Texture compression; Texture (cosmology); Computer science; Texture atlas; Texture memory; Texel; Texture synthesis; Artificial intelligence; Computer vision; Image texture; Projective texture mapping; Bidirectional texture function; Limiting; Computer graphics; Image (mathematics); Image processing; 3D computer graphics; Engineering","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":[0.000554273,0.000188647,0.0001841702,0.0002809732,0.0001600882,0.0002156325,0.0007624923,0.0001170401,0.000003193516],"category_scores_gemma":[0.00005182656,0.0001575374,0.0001066515,0.0007482384,0.00002174191,0.0002865965,0.0002992981,0.0001137424,0.000004214832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002864585,"about_ca_system_score_gemma":0.00002915581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002342964,"about_ca_topic_score_gemma":0.00003426598,"domain_scores_codex":[0.9985642,0.0000222613,0.0002578439,0.00054605,0.0002393599,0.0003702743],"domain_scores_gemma":[0.9988438,0.000201974,0.00007530541,0.0004839271,0.0002410908,0.0001538537],"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":[0.00001327602,0.0001157728,0.0004479684,0.00001592172,0.00001759943,0.000001325823,0.001164256,0.00003663771,0.0001311561,0.8167083,0.0146846,0.1666632],"study_design_scores_gemma":[0.0003431138,0.0002454551,0.001956106,0.00003104528,0.000005005708,0.00000893987,0.0001069944,0.8922157,0.004267571,0.009178857,0.09122558,0.0004156629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001436572,0.00006732252,0.993677,0.0001683274,0.0001505366,0.0006761227,0.000003992735,0.0006458078,0.004467196],"genre_scores_gemma":[0.4500847,0.000002706812,0.5479745,0.001488114,0.0001098677,0.00004102176,0.000005024016,0.00001230989,0.0002817264],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.892179,"threshold_uncertainty_score":0.6424189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02974030376002039,"score_gpt":0.294694486569908,"score_spread":0.2649541828098876,"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."}}