{"id":"W4362701015","doi":"10.5539/cis.v16n2p36","title":"Suhail: A Deep Learning-Based System for Identifying Missing People","year":2023,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Face recognition and analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Suspect; Computer science; Upload; Artificial intelligence; Deep learning; Android (operating system); Facial recognition system; Missing data; Face (sociological concept); Social media; Multimedia; World Wide Web; Internet privacy; Machine learning; Pattern recognition (psychology); Psychology","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":[0.0006644996,0.000890524,0.0005457178,0.001056764,0.0004890913,0.0004608716,0.001618229,0.0007814755,0.006930764],"category_scores_gemma":[0.001593757,0.0003209341,0.0003396625,0.000342069,0.0002375551,0.001226182,0.001958402,0.0008255706,0.002572305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000910164,"about_ca_system_score_gemma":0.0007074279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01054912,"about_ca_topic_score_gemma":0.01962738,"domain_scores_codex":[0.9996991,0.00004677293,0.00002353313,0.0001045663,0.00007247643,0.00005358949],"domain_scores_gemma":[0.999668,0.00008575716,0.00004256147,0.00005486511,0.0001000794,0.00004878064],"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":[0.001155546,0.0004147083,0.01385098,0.0003726764,0.0001725367,0.0008139635,0.0004958638,0.007942747,0.0178676,0.002048491,0.09892464,0.8559402],"study_design_scores_gemma":[0.0002343838,0.0007595007,0.0171277,0.0001967388,0.0001904096,0.001772694,0.0004131565,0.8489599,0.04768131,0.007377399,0.07511488,0.0001718988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2234095,0.003076013,0.5470876,0.001999785,0.001014681,0.0007643342,0.01325316,0.1934176,0.01597721],"genre_scores_gemma":[0.627369,0.0006989532,0.3356992,0.001915947,0.0001090312,0.0003924312,0.01225795,0.0006362299,0.02092125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01054912,"threshold_uncertainty_score":0.02318573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02498627324005334,"score_gpt":0.2728888943963926,"score_spread":0.2479026211563393,"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."}}