{"id":"W7123356169","doi":"10.1109/etecom66111.2025.11319054","title":"Ensemble of Regressors to Handle Bias in Predicting Age from Facial Images","year":2025,"lang":"","type":"article","venue":"","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Toronto","funders":"","keywords":"Regression; Benchmark (surveying); Ranking (information retrieval); Regression analysis; Mean absolute error; Reliability (semiconductor); Baseline (sea); Ensemble learning","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":[0.0004631971,0.0002203919,0.0005296367,0.000730195,0.0001150312,0.0002191173,0.0006086704,0.0001231777,0.0004701427],"category_scores_gemma":[0.0004622034,0.0002123672,0.0002111937,0.002252745,0.00007568624,0.0003138029,0.0005227849,0.000198272,0.0001041999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005293932,"about_ca_system_score_gemma":0.0001515758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003728069,"about_ca_topic_score_gemma":0.001845428,"domain_scores_codex":[0.9976632,0.0001945061,0.0007398939,0.0006638378,0.000355258,0.0003832823],"domain_scores_gemma":[0.9987804,0.0003003208,0.0001527079,0.0004778584,0.0001507477,0.0001379389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006644469,0.0005657541,0.06175085,0.0001119839,0.0002687939,0.00009455202,0.006019487,0.001714141,0.02935159,0.001514891,0.0031471,0.8953944],"study_design_scores_gemma":[0.002520049,0.0002135859,0.03507227,0.002245805,0.0001919267,0.000001177455,0.002851508,0.4047613,0.5439677,0.004266146,0.003086974,0.0008215684],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.51543,0.0003586671,0.4536591,0.002954726,0.000605973,0.0002860448,0.00006210196,0.00007175875,0.02657163],"genre_scores_gemma":[0.975049,0.00009530256,0.01544216,0.0005253502,0.00003438767,0.00001006105,0.000006529948,0.000006004656,0.008831212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8945729,"threshold_uncertainty_score":0.8660082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04011757368200828,"score_gpt":0.2910987584215614,"score_spread":0.2509811847395531,"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."}}