{"id":"W2170921926","doi":"10.1109/crv.2009.48","title":"Real-Time Viola-Jones Face Detection in a Web Browser","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Laptop; ActionScript; Scripting language; Web application; Flash (photography); Web page; Client-side scripting; Frame (networking); Python (programming language); Face detection; JavaScript; Web browser; Computer graphics (images); World Wide Web; Operating system; Static web page; Artificial intelligence; The Internet; Facial recognition system; Web navigation; Pattern recognition (psychology)","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":[0.0001483126,0.0001036958,0.0001205512,0.0001312099,0.0000407517,0.00006460258,0.0003490745,0.00005727495,0.0000199995],"category_scores_gemma":[0.00003533659,0.00008973131,0.00003714213,0.0005501244,0.0000123906,0.0008622874,0.00006250336,0.00009916902,0.0000984571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004450613,"about_ca_system_score_gemma":0.00002043827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002821709,"about_ca_topic_score_gemma":0.00001825145,"domain_scores_codex":[0.9991798,0.00003223417,0.0001649618,0.0002780714,0.0001332021,0.0002117067],"domain_scores_gemma":[0.999516,0.0000325156,0.00003829934,0.0003277897,0.00003917622,0.00004624512],"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":[0.00001267476,0.00005638698,0.00006097412,0.000002242394,0.000001499433,0.00001892814,0.0001309601,0.00001255892,0.4977642,0.002452012,0.0003731263,0.4991145],"study_design_scores_gemma":[0.0002919263,0.0003770764,0.00567433,0.00002815199,0.000001532042,0.00002313823,0.00001777365,0.03725884,0.9334481,0.01946623,0.003120938,0.0002919267],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03053908,0.00003840731,0.9553626,0.000438791,0.00003445657,0.0001576671,2.58197e-7,0.0008279883,0.01260083],"genre_scores_gemma":[0.9105597,0.000167106,0.08725058,0.000339086,0.00002690578,0.000005836184,3.999467e-7,0.00000522448,0.001645196],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8800206,"threshold_uncertainty_score":0.3659137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009633155015208561,"score_gpt":0.2707545504515545,"score_spread":0.2611213954363459,"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."}}