{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003882141,0.0008284512,0.0008252162,0.001788809,0.0004001384,0.000761002,0.0007855698,0.0007314257,0.001331838],"category_scores_gemma":[0.001192924,0.0004890686,0.0004916035,0.0008015747,0.0004520628,0.001539374,0.00072078,0.0005481803,0.0007149036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003759812,"about_ca_system_score_gemma":0.0004593495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008048333,"about_ca_topic_score_gemma":0.0006944097,"domain_scores_codex":[0.9994069,0.00007245856,0.00003604059,0.0001999924,0.0002237563,0.00006078102],"domain_scores_gemma":[0.9994772,0.0001328729,0.00006221811,0.00005827385,0.0002233844,0.00004607841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003882775,0.00009247968,0.002750638,0.0001838708,0.00006970608,0.0001670364,0.0002092199,0.0271217,0.1960247,0.005667464,0.003448254,0.7638767],"study_design_scores_gemma":[0.00006125253,0.0004583751,0.004265251,0.00002540018,0.00009176261,0.001339765,0.00008355032,0.8455182,0.1299496,0.003667095,0.01443803,0.0001016733],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01152232,0.0001100597,0.9868146,0.00003117612,0.00004877893,0.00003796379,0.0000224683,0.0006636408,0.0007489922],"genre_scores_gemma":[0.317602,0.0003052275,0.6786689,0.0001082449,0.0001310409,0.0001512729,0.0001899189,0.0001265359,0.002716854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001788809,"threshold_uncertainty_score":0.004455447,"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."}}