{"id":"W4311164977","doi":"10.18280/ts.390519","title":"A Traffic Parameter Detection Algorithm Based on Double Coils","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hefei Normal University","keywords":"Intersection (aeronautics); Computer science; Algorithm; Computer vision; Artificial intelligence; Image processing; Real-time computing; Image (mathematics); Engineering","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":[0.001208263,0.0001627525,0.0001699398,0.00017547,0.0003768589,0.0001319284,0.0005196068,0.0000296634,0.0003324347],"category_scores_gemma":[0.000007216183,0.0001604192,0.0001256985,0.0004742398,0.000022729,0.0001696965,0.00008053238,0.0002396845,0.00002663589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001129863,"about_ca_system_score_gemma":0.00005850953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000146025,"about_ca_topic_score_gemma":0.000005252506,"domain_scores_codex":[0.9980338,0.0003254206,0.0002466958,0.0004501501,0.0006162073,0.0003277658],"domain_scores_gemma":[0.9992005,0.0002467483,0.00009162151,0.0003477609,0.00003367674,0.00007967745],"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":[0.00009952718,0.0003654754,0.00009306602,0.000008307858,0.0000253352,0.00004620752,0.0002817215,0.1075465,0.001050034,0.0003404886,0.0003113936,0.889832],"study_design_scores_gemma":[0.001984209,0.0008742792,0.001770872,0.000006632721,0.000008570334,0.00001704943,0.00002097109,0.9782391,0.006872177,0.0002779014,0.009663909,0.0002643887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06432927,0.00002328631,0.9336912,0.0004135691,0.0005558056,0.0002842811,0.000008788797,0.0002779668,0.0004158161],"genre_scores_gemma":[0.9516706,8.320116e-7,0.04687964,0.001096694,0.00009296397,0.0001894757,0.000007479578,0.00001317788,0.00004912531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8895676,"threshold_uncertainty_score":0.6541707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02648399221310885,"score_gpt":0.2627419419855763,"score_spread":0.2362579497724674,"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."}}