{"id":"W4390244753","doi":"10.18280/ria.370612","title":"Intelligent Vehicle Driver Face and Conscious Recognition","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Facial recognition system; Computer science; Face (sociological concept); Artificial intelligence; Human–computer interaction; Computer vision; Pattern recognition (psychology); Sociology","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":[0.0004570555,0.0003223658,0.000267028,0.0003956253,0.0001718202,0.0006185672,0.000383519,0.0005713067,0.0007419194],"category_scores_gemma":[0.001197634,0.0001462585,0.0003983879,0.0001529101,0.0002831611,0.0007294859,0.0004745898,0.0003446404,0.0003959819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003206163,"about_ca_system_score_gemma":0.0002848575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002397221,"about_ca_topic_score_gemma":0.001834018,"domain_scores_codex":[0.9996257,0.00008287439,0.00001124162,0.0001022318,0.000127453,0.00005051565],"domain_scores_gemma":[0.9997897,0.00005893264,0.00002971835,0.00004484719,0.000067423,0.000009490326],"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":[0.0005133675,0.0003423229,0.02826321,0.0001703648,0.0001412875,0.0004030807,0.0008416497,0.1041506,0.1380728,0.01602239,0.004206828,0.7068721],"study_design_scores_gemma":[0.000007549148,0.0002490077,0.02948896,0.00002082801,0.00006235542,0.000675611,0.0002389516,0.9123507,0.04450138,0.007167131,0.005188041,0.00004944834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6190355,0.001065294,0.3637749,0.000515659,0.000169855,0.00008142501,0.0002397708,0.0007045501,0.01441305],"genre_scores_gemma":[0.9816868,0.0002040809,0.01479226,0.00006221049,0.00001996798,0.00001654102,0.0001205248,0.00001440646,0.00308316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002397221,"threshold_uncertainty_score":0.004766583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05433858196165731,"score_gpt":0.2745980259288356,"score_spread":0.2202594439671783,"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."}}