{"id":"W2157051384","doi":"10.1109/icif.2007.4408078","title":"Face detection using information fusion","year":2007,"lang":"en","type":"article","venue":"","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Detector; Face (sociological concept); Artificial intelligence; Pixel; Computer science; Face detection; Computer vision; Pattern recognition (psychology); Artificial neural network; Object-class detection; Facial recognition system; Telecommunications","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":[0.001882239,0.0009328888,0.001356554,0.002257051,0.0004652394,0.001189775,0.001203616,0.001267018,0.001712931],"category_scores_gemma":[0.004292736,0.0004686523,0.001115642,0.001246583,0.0007047629,0.002286814,0.001740864,0.0008793481,0.001186199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007132511,"about_ca_system_score_gemma":0.0005790529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001565354,"about_ca_topic_score_gemma":0.001342208,"domain_scores_codex":[0.9985123,0.0002905845,0.00008593457,0.0003496766,0.000617272,0.0001442176],"domain_scores_gemma":[0.9987236,0.0004970026,0.000125418,0.0002785241,0.0003436232,0.00003186573],"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":[0.00031171,0.0001270367,0.002142291,0.0002027448,0.0002122572,0.0001486666,0.0001422155,0.07772007,0.05428872,0.01055224,0.002876835,0.8512753],"study_design_scores_gemma":[0.00001925791,0.0001949178,0.002979957,0.00004248691,0.0001144037,0.0004119319,0.00005036013,0.8924416,0.0815265,0.01777326,0.004363946,0.00008148586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01787568,0.0006916185,0.9778258,0.0001315546,0.00006775778,0.0000408483,0.00007248753,0.000908818,0.002385438],"genre_scores_gemma":[0.4527571,0.0008661677,0.5430303,0.0001778128,0.0001300546,0.00007970684,0.0003194428,0.0000689216,0.002570495],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002257051,"threshold_uncertainty_score":0.009954333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0163123974614167,"score_gpt":0.2480215667533645,"score_spread":0.2317091692919478,"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."}}