{"id":"W3166245539","doi":"","title":"Detection and Segmentation of Elements in Traffic: A Survey","year":2021,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Segmentation; Computer science; Geography; Transport engineering; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008132557,0.00110003,0.00127548,0.005624728,0.0005466716,0.00147518,0.001743706,0.001607265,0.002689391],"category_scores_gemma":[0.001617655,0.0008230966,0.001114681,0.005985596,0.0006286537,0.002022324,0.0006265859,0.0006613019,0.002471358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005352204,"about_ca_system_score_gemma":0.001103293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004181312,"about_ca_topic_score_gemma":0.003471037,"domain_scores_codex":[0.9990321,0.0001026626,0.00009160518,0.000427609,0.0002641554,0.00008189131],"domain_scores_gemma":[0.9991167,0.0003725715,0.00007482281,0.00006664748,0.0003208964,0.00004844746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001036256,0.0001219335,0.004921811,0.004133179,0.00007843204,0.0001491771,0.0002346697,0.003888636,0.005165934,0.003627246,0.01148115,0.9660944],"study_design_scores_gemma":[0.00004762638,0.0008042334,0.04179485,0.004173134,0.0009274396,0.006655802,0.001886284,0.1173687,0.04307461,0.02721705,0.7557306,0.000319706],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03809242,0.6810564,0.2510087,0.001403924,0.0008711952,0.0002267167,0.001551787,0.002099481,0.02368939],"genre_scores_gemma":[0.1671121,0.6413172,0.1690306,0.0009025651,0.001685097,0.0001919812,0.005851403,0.0005515676,0.01335753],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005624728,"threshold_uncertainty_score":0.008996904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02752350237943528,"score_gpt":0.2621057196427506,"score_spread":0.2345822172633154,"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."}}