{"id":"W4383560355","doi":"10.54254/2755-2721/5/20230533","title":"A review of the application of CNN-based computer vision in auto-driving","year":2023,"lang":"en","type":"review","venue":"Applied and Computational Engineering","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Convolutional neural network; Computer science; Artificial intelligence; Field (mathematics); Segmentation; Deep learning; Self driving; Computer vision; Machine learning; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002310578,0.0002130531,0.0006872752,0.0001910977,0.00003418382,0.00001380992,0.00063111,0.0000760366,3.908266e-7],"category_scores_gemma":[0.00001363126,0.0001705511,0.0001352176,0.001555848,0.00003241294,0.0000535688,0.0002929977,0.0002091303,0.000003794273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000426058,"about_ca_system_score_gemma":0.00009631824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001752972,"about_ca_topic_score_gemma":4.714007e-7,"domain_scores_codex":[0.9985279,0.00002718758,0.0006876178,0.0003577957,0.0002554749,0.0001439918],"domain_scores_gemma":[0.9984695,0.0006474205,0.0004036162,0.0003896666,0.00005418037,0.00003555854],"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":[2.312021e-7,0.00001788792,6.925549e-7,0.02800861,0.0000127507,2.465481e-7,0.000007087256,0.2518329,0.00000419169,0.04812707,0.00002646716,0.6719618],"study_design_scores_gemma":[0.00009778624,0.00001012704,0.00009729563,0.0378058,0.00003450031,0.000004823587,2.32755e-7,0.8958462,0.000002015055,0.001102523,0.06480762,0.0001910421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.000001176717,0.4246491,0.5746584,0.00003472009,0.00003421966,0.0005566597,0.000003067864,0.000051985,0.00001063433],"genre_scores_gemma":[0.0005937858,0.9182108,0.08060879,0.0001038425,0.00004834444,0.0003551421,0.00004221537,0.00003477281,0.000002294223],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6717708,"threshold_uncertainty_score":0.6954874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0180054712047475,"score_gpt":0.2898105472258182,"score_spread":0.2718050760210707,"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."}}