{"id":"W4404418922","doi":"10.18280/ts.410519","title":"Passenger Vehicle Driver Detection Based on YOLOv5+Stacking","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Vehicle License Plate Recognition","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stacking; Computer science; Automotive engineering; Transport engineering; Engineering; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001662685,0.000174229,0.0001107115,0.0001876027,0.0000611264,0.0001104965,0.00006161931,0.00008545588,0.0007861422],"category_scores_gemma":[0.000003784209,0.0001776935,0.00008237049,0.0002213371,0.00001429694,0.0001943208,0.000007181431,0.0002320025,0.0005672368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001644203,"about_ca_system_score_gemma":0.00001102974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004025501,"about_ca_topic_score_gemma":0.000009028004,"domain_scores_codex":[0.9990286,0.00003381393,0.0001958109,0.0002226106,0.0002568228,0.0002623091],"domain_scores_gemma":[0.999683,0.000111904,0.00001326298,0.00009944689,0.00002374403,0.00006870354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000675964,0.00009588039,0.0002331454,0.0003559718,0.0001307166,0.0001450114,0.0005061808,0.1508436,0.4875374,0.0001232198,0.001278239,0.3586831],"study_design_scores_gemma":[0.0003367865,0.0001150548,0.00180241,0.0001345543,0.00003570221,0.000005124847,0.00002659246,0.9126707,0.07823832,0.00006551153,0.006354261,0.0002149552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574882,0.0001127221,0.03615247,0.0001373453,0.0006876606,0.0002485132,0.00002055036,0.001349889,0.003802617],"genre_scores_gemma":[0.99922,0.00001336722,0.0001828585,0.0001106193,0.000330497,0.00004005448,0.00002332174,0.00005544969,0.00002381603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7618272,"threshold_uncertainty_score":0.8607706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008953897645934,"score_gpt":0.2006999943301603,"score_spread":0.1906104553537009,"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."}}