{"id":"W2011230060","doi":"10.1145/2393347.2396452","title":"PhacePhinder","year":2012,"lang":"en","type":"article","venue":"","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Mobile phone; Phone; Face (sociological concept); World Wide Web; Multimedia; Mobile computing; Personally identifiable information; Human–computer interaction; Computer security; 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":[0.0003226499,0.0007527636,0.0003468354,0.000630627,0.0005888428,0.001420722,0.00122091,0.0006606943,0.25586],"category_scores_gemma":[0.0007243818,0.0003880952,0.0003027473,0.000393758,0.0002147012,0.00158102,0.001588897,0.0009774016,0.09222043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002298361,"about_ca_system_score_gemma":0.0003877795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001424346,"about_ca_topic_score_gemma":0.002205735,"domain_scores_codex":[0.9997616,0.00002213458,0.000008354207,0.00004936173,0.0001121401,0.0000463856],"domain_scores_gemma":[0.9996654,0.00005117753,0.00001011906,0.000114012,0.00009397901,0.0000653231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009968145,0.0001573318,0.001128752,0.0004445039,0.00002906754,0.0008480647,0.000312775,0.0007166316,0.03018969,0.01197348,0.5312404,0.4219624],"study_design_scores_gemma":[0.0001353941,0.0001704372,0.001955187,0.00008945874,0.00002852617,0.001121874,0.0001227984,0.006444028,0.02175216,0.004126533,0.9639996,0.00005395369],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01916609,0.001147491,0.1198264,0.0007968359,0.001060202,0.0008487178,0.01399869,0.1995662,0.6435893],"genre_scores_gemma":[0.1161684,0.0009841875,0.08116803,0.001241673,0.0001898973,0.0007514912,0.02967668,0.01929632,0.7505234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.25586,"threshold_uncertainty_score":0.8559369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01896343973194688,"score_gpt":0.2434754986412772,"score_spread":0.2245120589093303,"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."}}