{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001276929,0.0008139811,0.0009432385,0.0008371717,0.0004272303,0.000813746,0.001382419,0.001402719,0.001055473],"category_scores_gemma":[0.002305588,0.00052284,0.0009172916,0.0004928981,0.0006247161,0.001310736,0.001249364,0.001738554,0.001089867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008307885,"about_ca_system_score_gemma":0.000792652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003506226,"about_ca_topic_score_gemma":0.002350265,"domain_scores_codex":[0.999256,0.00008903089,0.00003611114,0.0002382195,0.0002858478,0.00009478047],"domain_scores_gemma":[0.9991716,0.000227088,0.00009942912,0.0001560662,0.0003065333,0.00003921673],"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":[0.0002262965,0.0001109032,0.001544132,0.00006632014,0.0001156442,0.0001504977,0.0001289311,0.3382188,0.0776661,0.0101779,0.003929191,0.5676652],"study_design_scores_gemma":[0.000003436283,0.00003299985,0.0001765936,0.000003439929,0.000007440848,0.00002153122,0.000007294605,0.9892374,0.007702498,0.002001704,0.0007989015,0.00000683178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01308714,0.0001380857,0.9849111,0.00008076091,0.00003435092,0.00003569602,0.00004696433,0.00130359,0.0003622734],"genre_scores_gemma":[0.4879244,0.0001829784,0.5067043,0.0002233157,0.00008117258,0.0001660024,0.0005530168,0.0002552995,0.003909583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003506226,"threshold_uncertainty_score":0.006971598,"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."}}