{"id":"W2917159929","doi":"10.1109/glocom.2018.8647971","title":"Data-driven Robust Scoring Approach for Driver Profiling Applications","year":2018,"lang":"en","type":"article","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Profiling (computer programming); Decision tree; Machine learning; Support vector machine; Data mining; Artificial intelligence; Preprocessor; Regression; Statistics","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":[0.002619002,0.001403134,0.001490816,0.001494388,0.0004227764,0.001182316,0.00241813,0.001107139,0.00131755],"category_scores_gemma":[0.008331436,0.000580677,0.001018317,0.001428301,0.0003781471,0.001200494,0.001378831,0.0015978,0.001179105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007157237,"about_ca_system_score_gemma":0.001117846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00512535,"about_ca_topic_score_gemma":0.004396294,"domain_scores_codex":[0.9981462,0.0004898088,0.0001620151,0.0005288649,0.000527097,0.0001459569],"domain_scores_gemma":[0.9961767,0.001238075,0.0004351846,0.0005249885,0.001479667,0.0001453508],"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":[0.0003262417,0.0005760059,0.01023415,0.0002006557,0.0002058111,0.0003232057,0.0001510561,0.5564809,0.01328762,0.004960001,0.005635373,0.407619],"study_design_scores_gemma":[0.000004544717,0.00004221719,0.0006597125,0.000004363636,0.000008072081,0.00002061164,0.0000158389,0.9952109,0.00178136,0.001661895,0.0005818343,0.000008592513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02590424,0.0002261288,0.9699035,0.0001665389,0.0000379038,0.0001094195,0.0003422506,0.002767979,0.0005419495],"genre_scores_gemma":[0.640318,0.0002441893,0.353823,0.0001721238,0.0001032918,0.0003752784,0.002515773,0.0002542209,0.002194066],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00512535,"threshold_uncertainty_score":0.01385075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04527930584274589,"score_gpt":0.255720919183419,"score_spread":0.2104416133406732,"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."}}