{"id":"W2132502142","doi":"10.1002/cav.152","title":"Facial shape and 3D skin","year":2006,"lang":"en","type":"article","venue":"Computer Animation and Virtual Worlds","topic":"Face recognition and analysis","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Polygon mesh; Computer science; Displacement mapping; Face (sociological concept); Exaggeration; Artificial intelligence; Subdivision surface; Computer vision; Subdivision; Resolution (logic); Computer graphics (images); Texture mapping","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":[0.0002352002,0.000323716,0.0003121554,0.0004077101,0.0002034097,0.0008093239,0.0006851648,0.0004894756,0.003203908],"category_scores_gemma":[0.001038169,0.0003033607,0.0006489881,0.0002100973,0.0006567655,0.0006146819,0.001087388,0.0005928594,0.0006357636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003836303,"about_ca_system_score_gemma":0.0001978438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009002605,"about_ca_topic_score_gemma":0.0006250935,"domain_scores_codex":[0.999795,0.00004126081,0.000006955289,0.00003282184,0.0001103548,0.00001366346],"domain_scores_gemma":[0.9997877,0.0000599005,0.00001716219,0.00009190495,0.00002893079,0.00001436657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001377896,0.00003612629,0.001277364,0.00008591493,0.00004910945,0.0003355108,0.0002789566,0.6568658,0.13629,0.0747421,0.002055016,0.1278463],"study_design_scores_gemma":[0.000008554358,0.00002905253,0.0005712311,0.00001171517,0.000008975249,0.0002376842,0.00002944976,0.9593608,0.01550009,0.01754334,0.006682692,0.00001630147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02455091,0.00006245973,0.9721362,0.00008885254,0.00002689128,0.00002349206,0.00005902143,0.0005066276,0.002545625],"genre_scores_gemma":[0.6316664,0.0002925766,0.3622102,0.0001040292,0.00002746064,0.00007767909,0.0002322168,0.0002587975,0.005130721],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003203908,"threshold_uncertainty_score":0.01071811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006749960514706,"score_gpt":0.2268312877657888,"score_spread":0.2167637881606417,"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."}}