{"id":"W6888641646","doi":"10.21227/ebqh-yc18","title":"Driving Data for Training and Testing of Driver Classification Algorithms","year":2021,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Advanced driver assistance systems; Training (meteorology); Automotive industry; Training set; Virtual reality; Resource (disambiguation); Driving simulator","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":[0.001435027,0.002326295,0.001237546,0.002392201,0.0007761141,0.0009446754,0.002715376,0.00211817,0.008365132],"category_scores_gemma":[0.004433529,0.0004513358,0.001270423,0.001863366,0.0005090602,0.0006902902,0.001541039,0.001668313,0.01516384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159346,"about_ca_system_score_gemma":0.001569234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01811404,"about_ca_topic_score_gemma":0.03035943,"domain_scores_codex":[0.9982995,0.000236537,0.0001752514,0.0004098175,0.0006473447,0.000231467],"domain_scores_gemma":[0.9975279,0.0004148622,0.0001250785,0.0007609496,0.0009891299,0.00018203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007097528,0.001859083,0.01577921,0.001426053,0.0002532442,0.0004175419,0.0001850597,0.01169572,0.002541633,0.000811612,0.8968828,0.06743822],"study_design_scores_gemma":[0.001145371,0.001323298,0.0954468,0.0007091116,0.0002565522,0.001666768,0.001202254,0.06092746,0.02032407,0.002851173,0.8138201,0.0003271531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05066282,0.0005331477,0.003800987,0.000492984,0.0006379239,0.0005293197,0.9334598,0.004575202,0.005307834],"genre_scores_gemma":[0.02425457,0.00009037693,0.0030775,0.00007870616,0.00002251761,0.0004783995,0.9696511,0.00009503595,0.002251714],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01811404,"threshold_uncertainty_score":0.03601718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2745409113536412,"score_gpt":0.3726612592183551,"score_spread":0.09812034786471385,"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."}}