{"id":"W7129297651","doi":"10.1109/punecon67554.2025.11378635","title":"AI Integrated Lost and Found System with Facial Recognition: A Review","year":2025,"lang":"","type":"article","venue":"","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Software deployment; Identification (biology); Key (lock); Scalability; Data collection; Foundation (evidence)","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":[0.001032348,0.0008219644,0.001024723,0.002098104,0.0002928413,0.001237118,0.001785306,0.001238314,0.002946147],"category_scores_gemma":[0.002013006,0.0004594346,0.0008153986,0.001675068,0.0004583492,0.001988889,0.000646686,0.000912962,0.002245816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005445749,"about_ca_system_score_gemma":0.001339976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001796409,"about_ca_topic_score_gemma":0.001458055,"domain_scores_codex":[0.9995203,0.00006062575,0.00006985918,0.0001246148,0.0001908146,0.00003383499],"domain_scores_gemma":[0.9988336,0.000675512,0.00007743055,0.00004021885,0.0003361544,0.00003710321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005423679,0.00006982463,0.0003565897,0.009927916,0.00008915823,0.0001026812,0.00007010434,0.0008220227,0.001820723,0.002683754,0.01016745,0.9738355],"study_design_scores_gemma":[0.00001621146,0.0004093832,0.002240017,0.0071052,0.0005628515,0.002183876,0.000262248,0.004082933,0.005322166,0.004109469,0.9735973,0.0001082488],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007258116,0.9885721,0.005837745,0.0003519011,0.0003165739,0.00003319281,0.00005235376,0.00007670483,0.004033512],"genre_scores_gemma":[0.006558504,0.9845233,0.006188265,0.0003950362,0.0003244791,0.00004121172,0.0001725593,0.00002114621,0.001775485],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002946147,"threshold_uncertainty_score":0.009855807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01894268956311668,"score_gpt":0.2582257021766697,"score_spread":0.239283012613553,"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."}}