{"id":"W3015002515","doi":"10.36227/techrxiv.12061632.v1","title":"Smart Raspberry Pi Bank Safety Deposit box With Facial Recognition: Fintech Case Study","year":2020,"lang":"en","type":"preprint","venue":"","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Raspberry pi; Arduino; Computer security; Lock (firearm); Facial recognition system; Computer science; Embedded system; Operating system; Engineering; Internet of Things; Artificial intelligence; Feature extraction","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":[0.0003278364,0.0005485488,0.0002831552,0.0004664479,0.001034579,0.000814199,0.0008157374,0.002815577,0.004986472],"category_scores_gemma":[0.0009267062,0.0002147159,0.0003850069,0.0004514367,0.0007446379,0.0007165884,0.0005525576,0.0008452812,0.001349619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007645903,"about_ca_system_score_gemma":0.0005031605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008577279,"about_ca_topic_score_gemma":0.01699901,"domain_scores_codex":[0.9994642,0.00009995545,0.00003022234,0.00008855402,0.0002082714,0.0001087209],"domain_scores_gemma":[0.9996593,0.0001106938,0.00003561398,0.00004258591,0.00006731971,0.00008441786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001141086,0.003329464,0.07994954,0.0007361033,0.0001468729,0.5677281,0.0069889,0.01993776,0.03224709,0.007907391,0.03008356,0.2498042],"study_design_scores_gemma":[0.0001587073,0.00213573,0.07244877,0.0002755442,0.000184291,0.6328869,0.01646142,0.09211629,0.0815263,0.005028788,0.09653836,0.0002387745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.943265,0.0007487583,0.02375677,0.002030639,0.00009885141,0.0001980222,0.0005014725,0.0003777315,0.02902291],"genre_scores_gemma":[0.9620287,0.0005035897,0.009543581,0.0003655156,0.00003116234,0.00004347365,0.0002090861,0.00005520557,0.02721971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008577279,"threshold_uncertainty_score":0.01705474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253391563749274,"score_gpt":0.2271170277743028,"score_spread":0.2017778713993754,"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."}}