{"id":"W4408043012","doi":"10.18280/ts.420143","title":"Performance Analysis of Momentum of Adam Optimizer on YOLO-V8 Using Traffic Object Dataset","year":2025,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Vehicle License Plate Recognition","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Object (grammar); Momentum (technical analysis); Computer science; Environmental science; Meteorology; Artificial intelligence; Physics; Economics","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":[0.0001960635,0.0001540283,0.0003494725,0.0005816187,0.00003152553,0.00001013198,0.0001245791,0.0000574983,0.0003240042],"category_scores_gemma":[0.000003521312,0.0001584221,0.0001081301,0.0008081615,0.00003033938,0.0001188043,0.00001841432,0.00009718304,0.000004833485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008044212,"about_ca_system_score_gemma":0.00001929481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001157545,"about_ca_topic_score_gemma":0.000006233931,"domain_scores_codex":[0.9989523,0.00002860382,0.0004310956,0.0001655819,0.0002286963,0.0001936646],"domain_scores_gemma":[0.9996011,0.00006367999,0.00007877394,0.0001822561,0.00004025719,0.00003389438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007060313,0.0001104283,0.0003705503,0.0001854804,0.00116509,0.000001503872,0.0001113187,0.9688044,0.02167462,0.00001295229,0.0004243923,0.007068663],"study_design_scores_gemma":[0.000609936,0.00008444457,0.003844537,0.0001157754,0.0009383949,5.615965e-7,0.00005595964,0.9632983,0.0307326,0.000001479425,0.0001877555,0.0001302228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967147,0.00005710733,0.001628596,0.00001254927,0.00007928482,0.0001714881,0.0008687331,0.00005106663,0.0004165133],"genre_scores_gemma":[0.9982306,0.00005960201,0.0007692082,0.00002194371,0.00001626063,0.000009647969,0.000871529,0.00001281111,0.000008426532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009057986,"threshold_uncertainty_score":0.6460264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01646782322046695,"score_gpt":0.2374883673895682,"score_spread":0.2210205441691012,"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."}}