{"id":"W4200530308","doi":"10.1117/12.2619787","title":"Towards a robust object classifier for autonomous vehicles by feature synthesis","year":2021,"lang":"en","type":"article","venue":"Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021)","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Artificial intelligence; Computer science; Classifier (UML); Pattern recognition (psychology); Feature extraction; Computer vision","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001151557,0.0002680012,0.0003038381,0.000126921,0.00007904048,0.00007170477,0.0001647982,0.0002732173,0.00006863954],"category_scores_gemma":[0.00002617024,0.0002862152,0.0001028023,0.0001303607,0.00002617199,0.000115267,0.000004103893,0.0002695745,0.0000100589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001094483,"about_ca_system_score_gemma":0.00006986682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003536744,"about_ca_topic_score_gemma":0.00001862788,"domain_scores_codex":[0.9988565,0.00001408519,0.0003371941,0.0003538464,0.0001902628,0.0002480457],"domain_scores_gemma":[0.999447,0.0001000643,0.00005243858,0.0001624745,0.0001500401,0.00008799756],"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":[0.0001544741,0.000184822,0.0003463347,0.001744607,0.001338793,0.0001985308,0.002396427,0.770071,0.01433402,0.1189546,0.003323525,0.08695291],"study_design_scores_gemma":[0.0008923834,0.00006478596,0.004679573,0.0005824197,0.00009437858,0.00003913556,0.000746951,0.9620855,0.01035894,0.00002671933,0.01981414,0.0006150897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8528811,0.001578639,0.1277059,0.00281881,0.002944159,0.0007973309,0.003261463,0.002889388,0.005123186],"genre_scores_gemma":[0.9967805,0.0001580344,0.001984837,0.00001857233,0.00008334997,0.000192297,0.000418736,0.00004602038,0.0003176125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1920145,"threshold_uncertainty_score":0.999959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550343547309657,"score_gpt":0.2109836519283084,"score_spread":0.1954802164552119,"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."}}