{"id":"W4413226860","doi":"10.18280/isi.300617","title":"Class Attendance System Using Facial Recognition","year":2025,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Covenant University Centre for Research, Innovation and Discovery; Covenant University","keywords":"Class (philosophy); Attendance; Artificial intelligence; Computer science; Pattern recognition (psychology); Political science","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":[0.0005463642,0.0004253582,0.0005941579,0.001007221,0.0002931371,0.0007109048,0.0008220217,0.0005715219,0.005382451],"category_scores_gemma":[0.001182199,0.0001519778,0.0004209274,0.0004129947,0.0001342827,0.0008092152,0.0005882481,0.0003470516,0.002842015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005137268,"about_ca_system_score_gemma":0.0004233644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003312665,"about_ca_topic_score_gemma":0.002246888,"domain_scores_codex":[0.9992488,0.00007827866,0.00004058306,0.0001949407,0.0003538266,0.00008349656],"domain_scores_gemma":[0.999556,0.00006366531,0.00006624528,0.00006095251,0.0002186533,0.00003444635],"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":[0.001102676,0.0003267811,0.01193984,0.0002683535,0.00007878,0.0003603629,0.0002834662,0.005333318,0.207661,0.001605206,0.007689876,0.7633502],"study_design_scores_gemma":[0.0001913194,0.001910719,0.08918707,0.0001668872,0.0004945471,0.003576953,0.0005065197,0.4585033,0.3977208,0.001799519,0.04558137,0.0003610101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3853389,0.0008170863,0.5686197,0.000464293,0.0004708138,0.0006574538,0.001753306,0.01743537,0.02444319],"genre_scores_gemma":[0.8789012,0.0003971721,0.1021469,0.0001685787,0.0001085568,0.0002420134,0.001134349,0.0001228816,0.01677843],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005382451,"threshold_uncertainty_score":0.01800609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677692603956583,"score_gpt":0.2267702810568421,"score_spread":0.2099933550172763,"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."}}