{"id":"W4388478183","doi":"10.18280/ria.370517","title":"Class Attendance System Based on Face Recognition","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Face recognition and analysis","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Class (philosophy); Facial recognition system; Face (sociological concept); Attendance; Artificial intelligence; Computer science; Speech recognition; Psychology; Pattern recognition (psychology); Political science; Sociology; Social 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":[0.0003406391,0.0005018268,0.0007501128,0.001372424,0.0004225659,0.0005996221,0.001202103,0.0005247776,0.006706071],"category_scores_gemma":[0.0006849066,0.0001787644,0.0004494326,0.0004991766,0.0001265208,0.0006732389,0.0006472934,0.0005162019,0.004236754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005193628,"about_ca_system_score_gemma":0.000570329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004094769,"about_ca_topic_score_gemma":0.004480691,"domain_scores_codex":[0.9993512,0.00004269223,0.00002548526,0.0002198879,0.0002731116,0.00008757138],"domain_scores_gemma":[0.9996501,0.00003855494,0.00004849834,0.00005347221,0.000165599,0.00004366418],"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":[0.0007840375,0.0004315022,0.009711668,0.0002586875,0.00009492507,0.0003038234,0.0001449236,0.004417782,0.1232518,0.001259074,0.02170741,0.8376343],"study_design_scores_gemma":[0.0001964517,0.001569214,0.09836902,0.0001152845,0.0004054631,0.002358939,0.0002831385,0.5884678,0.2458321,0.002211507,0.05984903,0.0003420468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3372748,0.001049701,0.5747765,0.0004250605,0.0007589238,0.0009323765,0.005140239,0.04678482,0.03285741],"genre_scores_gemma":[0.854484,0.000418751,0.112755,0.0002138473,0.0002479565,0.0005053564,0.003884223,0.000193043,0.02729783],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006706071,"threshold_uncertainty_score":0.022434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05907671994489123,"score_gpt":0.270067142163886,"score_spread":0.2109904222189948,"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."}}