{"id":"W2117237077","doi":"10.1109/pccga.2003.1238242","title":"Machine learning for computer graphics: a manifesto and tutorial","year":2004,"lang":"en","type":"article","venue":"","topic":"Human Motion and Animation","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Manifesto; Graphics; Computer graphics; Human–computer interaction; Artificial intelligence; Machine learning; Computer graphics (images)","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":[0.00003492256,0.00003953802,0.00003862957,0.00003026059,0.00003736706,0.00002347262,0.0000139569,0.00002058831,0.00002610628],"category_scores_gemma":[0.000002409022,0.0000372235,0.00001461653,0.00001966958,0.000004870863,0.00004651076,0.000003942778,0.00004152403,0.00000960209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008615742,"about_ca_system_score_gemma":0.000001296703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006259077,"about_ca_topic_score_gemma":0.000014197,"domain_scores_codex":[0.9998167,0.000002170246,0.00005236956,0.00004608859,0.00002734873,0.00005532506],"domain_scores_gemma":[0.9999387,0.000007083856,0.000004458386,0.0000207406,0.000007877209,0.00002108665],"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":[0.00002241131,0.00004751667,0.001073937,0.0002749325,0.00006598788,0.000005261682,0.001752724,0.1877591,0.003704125,0.7789943,0.002080084,0.02421972],"study_design_scores_gemma":[0.002300564,0.0001609145,0.004103441,0.00002669528,0.000009832337,0.00001312033,0.00002015604,0.9042165,0.0004360472,0.005706325,0.08277633,0.0002300667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1465858,0.00005588342,0.8499687,0.0000988907,0.0004386572,0.0001327069,0.000001277011,0.0004689557,0.002249217],"genre_scores_gemma":[0.9931712,0.00001427825,0.006332106,0.00005590244,0.0002828029,0.000004066452,0.000008763831,0.000009574722,0.0001213626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8465854,"threshold_uncertainty_score":0.151793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009557821395145669,"score_gpt":0.2026632267720779,"score_spread":0.1931054053769322,"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."}}