{"id":"W2461406390","doi":"10.1007/s00371-016-1290-4","title":"Artistic stylization of face photos based on a single exemplar","year":2016,"lang":"en","type":"article","venue":"The Visual Computer","topic":"Face recognition and analysis","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Artificial intelligence; Face (sociological concept); Texture (cosmology); Selection (genetic algorithm); Flexibility (engineering); Task (project management); Computer graphics; Computer vision; Pattern recognition (psychology); Enhanced Data Rates for GSM Evolution; Identity (music); Image (mathematics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002338059,0.0003901566,0.0003081635,0.0008113655,0.0004137272,0.0007921151,0.000410168,0.0003331209,0.01057233],"category_scores_gemma":[0.001135054,0.0002121931,0.0004136687,0.0005443695,0.0005083299,0.0003986887,0.0007546102,0.0007371809,0.00187095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002233471,"about_ca_system_score_gemma":0.000208028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007004201,"about_ca_topic_score_gemma":0.00141084,"domain_scores_codex":[0.9998437,0.00002189167,0.000007104636,0.00003596085,0.00006544738,0.00002581925],"domain_scores_gemma":[0.9994019,0.0001184598,0.00002853874,0.000297515,0.0001109642,0.00004254097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007157379,0.00009300148,0.002161114,0.0004363459,0.00007698786,0.001065054,0.0006263616,0.02615151,0.5213301,0.01325946,0.01090089,0.4231834],"study_design_scores_gemma":[0.00005217421,0.0005271274,0.03462949,0.0001849728,0.0001815463,0.009824239,0.0009145337,0.4631386,0.4128152,0.01197249,0.06554069,0.0002188708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4123768,0.0007260867,0.5325332,0.000675467,0.0008825403,0.0004458386,0.001625298,0.003180104,0.04755465],"genre_scores_gemma":[0.7994448,0.0006276523,0.1858922,0.00007966659,0.0001495462,0.00007441956,0.0007464791,0.00050235,0.01248284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01057233,"threshold_uncertainty_score":0.03536803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0194390098706693,"score_gpt":0.2521412421324846,"score_spread":0.2327022322618153,"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."}}