{"id":"W2913224464","doi":"10.2312/egsh.20161018","title":"Texel Shading","year":2016,"lang":"en","type":"article","venue":"Eurographics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Texel; Shading; Computer science; Computer graphics (images); Pixel; Computer vision; Texture (cosmology); Artificial intelligence; Frame rate; Speedup; Texture filtering; Image texture; Segmentation; Image segmentation; Image (mathematics); Parallel computing","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":[0.0002372621,0.0001031644,0.00008577627,0.0002964773,0.00009951867,0.0001353807,0.0007722431,0.00004198696,0.0000088585],"category_scores_gemma":[0.00002546413,0.00007126768,0.00008748009,0.0009243682,0.00005369542,0.0003539176,0.0002486782,0.00005610648,0.00001978285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006191636,"about_ca_system_score_gemma":0.00001683475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001975814,"about_ca_topic_score_gemma":0.000001339009,"domain_scores_codex":[0.9990841,0.00004293606,0.0001627956,0.0002983567,0.0002030512,0.000208764],"domain_scores_gemma":[0.9991808,0.00008456595,0.00005773468,0.0005016858,0.00009081282,0.00008442238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[3.43612e-7,0.00001935723,0.004615052,0.000001977559,0.000004960003,0.00000432936,0.00004308058,3.744828e-8,0.0003587365,0.9470334,0.001277572,0.04664112],"study_design_scores_gemma":[0.0008522171,0.0004476715,0.0256757,0.0001833311,0.00001055035,0.00005894202,0.000005850075,0.01932639,0.01338384,0.3484622,0.5906117,0.0009816042],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003646352,0.00007816744,0.9926956,0.0008789843,0.000250943,0.00006926658,0.000001017481,0.0009138789,0.001465843],"genre_scores_gemma":[0.9738585,0.0002389836,0.02495576,0.0007312329,0.00006841011,0.000009217595,5.436102e-7,0.000013224,0.0001241161],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9702122,"threshold_uncertainty_score":0.2906211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176525736755954,"score_gpt":0.2745674896647747,"score_spread":0.2528022322972152,"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."}}