{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002961222,0.0005876845,0.0004024428,0.000674134,0.0002648768,0.00048154,0.0008947175,0.0003378137,0.001323299],"category_scores_gemma":[0.000484694,0.0002308274,0.0004723692,0.0002893983,0.0002042244,0.0005098563,0.0006549135,0.0003573479,0.0005151937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004600306,"about_ca_system_score_gemma":0.0005979132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01268247,"about_ca_topic_score_gemma":0.01321929,"domain_scores_codex":[0.9997895,0.00001930997,0.00000910549,0.00006438814,0.00006888938,0.0000488736],"domain_scores_gemma":[0.9998382,0.000027382,0.00002114368,0.00001742551,0.00007970035,0.00001605281],"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":[0.0005269166,0.0002661756,0.01769055,0.0001492929,0.0001816379,0.000190667,0.0001843301,0.1776305,0.07316545,0.00163325,0.001904801,0.7264764],"study_design_scores_gemma":[0.000005909209,0.0001876467,0.004115779,0.0000081635,0.00004344143,0.00007063388,0.00002412262,0.9809651,0.01355013,0.0002171131,0.0007979955,0.00001409023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5296701,0.001058016,0.4569436,0.0002158654,0.0001778693,0.0001184433,0.0002223309,0.003285191,0.008308562],"genre_scores_gemma":[0.9664479,0.000159856,0.0304268,0.00005957502,0.00001527315,0.00002428091,0.0001931253,0.00002441592,0.002648683],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01268247,"threshold_uncertainty_score":0.02521729,"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."}}