{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004449569,0.001922885,0.001569065,0.001489898,0.0004173848,0.000694325,0.00158282,0.0008716729,0.001408215],"category_scores_gemma":[0.008398598,0.0003721071,0.001212813,0.0009573126,0.0003155278,0.00130363,0.001036236,0.002176567,0.002170222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004321344,"about_ca_system_score_gemma":0.0009282195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008453594,"about_ca_topic_score_gemma":0.01374169,"domain_scores_codex":[0.9987749,0.0003736481,0.0000572114,0.0004602861,0.0002235858,0.0001102403],"domain_scores_gemma":[0.9972785,0.001035753,0.0002100752,0.0005532629,0.0008351948,0.00008726583],"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":[0.0003994497,0.0003896512,0.03956772,0.0001208711,0.0006509728,0.0001384095,0.0001619752,0.1626179,0.01201183,0.001771037,0.01489422,0.767276],"study_design_scores_gemma":[0.00001053975,0.0001059577,0.004441915,0.000024917,0.0001040867,0.00009302171,0.00003735284,0.9873371,0.003999712,0.001970434,0.001854375,0.00002061191],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09122176,0.002635143,0.8967177,0.0005217447,0.0003707901,0.0001180454,0.001227489,0.005448505,0.001738741],"genre_scores_gemma":[0.7545665,0.00135965,0.2306769,0.0005089581,0.0005374573,0.0002097571,0.004996694,0.000589952,0.006554126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008453594,"threshold_uncertainty_score":0.02353179,"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."}}