{"id":"W4353100291","doi":"10.18280/ts.400105","title":"An Ensemble DCNNs-Based Regression Model for Automatic Facial Beauty Prediction and Analyzation","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Consumer Perception and Purchasing Behavior","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Regression; Pattern recognition (psychology); Ensemble forecasting; Regression analysis; Machine learning; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004062234,0.0001448593,0.0001322635,0.0003203708,0.0003716379,0.0002261887,0.00007908656,0.00006444418,0.0002676757],"category_scores_gemma":[0.0000150555,0.0001336326,0.0000575861,0.0002733818,0.00003537547,0.0005869187,0.00001968635,0.00005260139,0.00003510485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002804588,"about_ca_system_score_gemma":0.00002639726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003599641,"about_ca_topic_score_gemma":0.00005538135,"domain_scores_codex":[0.9990077,0.00001205241,0.0002495749,0.0002646982,0.0002448248,0.0002211266],"domain_scores_gemma":[0.9996416,0.00002088403,0.0001090367,0.0001129039,0.00009006742,0.00002553302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005230544,0.0008345666,0.1140687,0.0009735622,0.00006668389,0.000007573676,0.001866947,0.06834117,0.142527,0.001992848,0.01797835,0.6508196],"study_design_scores_gemma":[0.0009799767,0.00002932138,0.06951715,0.00004469797,0.00009273593,2.672392e-7,0.00009223566,0.9273834,0.00007209483,0.0003374292,0.00131245,0.0001382396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.922031,0.000005003136,0.07634351,0.000423415,0.0001423816,0.0004773134,0.00003342546,0.0004743354,0.00006960594],"genre_scores_gemma":[0.9977512,0.000001972861,0.0005949984,0.000359698,0.0003417009,0.0001125963,0.0007007702,0.00002227124,0.0001147393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8590422,"threshold_uncertainty_score":0.5449379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05326814907931687,"score_gpt":0.2913319669130437,"score_spread":0.2380638178337269,"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."}}