{"id":"W2365335318","doi":"","title":"Study on Face Classification Methods Based on Facial Attributes","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Pattern recognition (psychology); Artificial intelligence; Linear discriminant analysis; Support vector machine; Facial recognition system; Principal component analysis; AdaBoost; Face (sociological concept); Feature (linguistics); Machine learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001371892,0.0004173645,0.0007226494,0.001428372,0.0003372253,0.0009087984,0.0004128847,0.0005674222,0.001528286],"category_scores_gemma":[0.003586767,0.00015666,0.0005853578,0.001954791,0.0004075399,0.001871445,0.0002447174,0.0006198519,0.0006661602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002877495,"about_ca_system_score_gemma":0.0002309559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009318392,"about_ca_topic_score_gemma":0.0004744392,"domain_scores_codex":[0.9988771,0.0002628246,0.00006320455,0.0002489138,0.0004957584,0.00005215591],"domain_scores_gemma":[0.9976044,0.001561787,0.00008626203,0.0001334092,0.0005757231,0.00003847017],"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":[0.0001600202,0.0002601961,0.006139659,0.0005923903,0.00006609073,0.00009191099,0.0002334971,0.01365792,0.01733726,0.01644059,0.00210947,0.942911],"study_design_scores_gemma":[0.00004866669,0.001078323,0.02920136,0.0004379052,0.0001691751,0.002039572,0.0006961541,0.8059512,0.06915615,0.02811525,0.06291601,0.0001901912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1578961,0.03798004,0.7797399,0.001205823,0.0005870495,0.0002403518,0.000181214,0.0003623634,0.02180727],"genre_scores_gemma":[0.6870564,0.0327758,0.2655248,0.0005034707,0.001309475,0.0002360494,0.0005655137,0.0001214947,0.01190703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001528286,"threshold_uncertainty_score":0.007255316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04234342295766323,"score_gpt":0.3137782027409233,"score_spread":0.2714347797832601,"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."}}