{"id":"W1965037736","doi":"10.1142/s0218126604001799","title":"A TIED-MIXTURE 2D HMM FACIAL IMAGE RETRIEVAL SYSTEM","year":2004,"lang":"en","type":"article","venue":"Journal of Circuits Systems and Computers","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Hidden Markov model; Tying; Computer science; Pattern recognition (psychology); Artificial intelligence; Facial recognition system; Face (sociological concept); Mixture model; Speech recognition; Image (mathematics); Computer vision","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":[0.0004227696,0.0002706105,0.0007837714,0.0003371983,0.0003716693,0.0005737178,0.000978274,0.0008503562,0.00423221],"category_scores_gemma":[0.0008836754,0.0003852127,0.0004536207,0.0003489839,0.0002058717,0.000987061,0.0008453634,0.000561695,0.003077164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000351936,"about_ca_system_score_gemma":0.0004919241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003080809,"about_ca_topic_score_gemma":0.00384565,"domain_scores_codex":[0.9996513,0.00004212292,0.00002094785,0.0001341526,0.0001189067,0.00003251358],"domain_scores_gemma":[0.9997686,0.00003866622,0.00001577007,0.00008046829,0.00007500548,0.00002165762],"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":[0.0008423611,0.0002513714,0.002028825,0.0002121956,0.000128747,0.0003682664,0.0002251863,0.05747635,0.2336643,0.006087176,0.007428481,0.6912867],"study_design_scores_gemma":[0.00005757495,0.0001743845,0.001891973,0.00001150727,0.00007157867,0.0005106938,0.0000248638,0.9601398,0.03061898,0.001670682,0.004768909,0.00005896723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03707562,0.0004743862,0.9540133,0.0002115096,0.0001823704,0.00008940748,0.0002121202,0.004936399,0.002804828],"genre_scores_gemma":[0.5719933,0.0003734142,0.4101257,0.000439025,0.0001295242,0.0001820082,0.000757316,0.0001248239,0.01587481],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00423221,"threshold_uncertainty_score":0.01415813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034578982741536,"score_gpt":0.2165185683121104,"score_spread":0.206172778484695,"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."}}