{"id":"W3038519341","doi":"10.1155/2020/5898762","title":"Driving Performance Evaluation Correlated to Age and Visual Acuities Based on VR Technologies","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic and Road Safety","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation of Korea; Ministry of Education; University of Seoul; National Research Foundation","keywords":"Driving simulator; Visual acuity; License; Driving simulation; Poison control; Safe driving; Simulation; Computer science; Audiology; Engineering; Medicine; Automotive engineering; Medical emergency","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003642557,0.000332977,0.0001436989,0.0007813009,0.0001291952,0.0005082733,0.0001237631,0.0002444733,0.001725968],"category_scores_gemma":[0.002455819,0.00009302122,0.0003101826,0.0003008629,0.0001483813,0.0003717338,0.0003361287,0.0002132927,0.000345404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001322973,"about_ca_system_score_gemma":0.0001688024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002670457,"about_ca_topic_score_gemma":0.002309029,"domain_scores_codex":[0.9996369,0.00006174555,0.00007189539,0.00008354332,0.00008856865,0.00005737645],"domain_scores_gemma":[0.9978119,0.000380063,0.0007880103,0.0001192513,0.0006910081,0.0002097216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000271887,0.0001057911,0.9770735,0.0000536563,0.00009020298,0.0001402384,0.0002829281,0.0003978849,0.008164349,0.00003941778,0.000109422,0.01327075],"study_design_scores_gemma":[0.000002659643,0.0003591599,0.9964548,0.000008430939,0.00004824839,0.0003161289,0.0002321433,0.0006579772,0.001549111,0.00002662025,0.0003356605,0.00000905268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985013,0.0002004131,0.0003343994,0.00001050443,0.000004603809,0.0000100125,0.0001193007,0.00001024181,0.0008091817],"genre_scores_gemma":[0.9993328,0.00008359067,0.0001396655,0.000005674247,0.000003042096,0.000004562509,0.0001306382,0.000001905909,0.0002979632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002670457,"threshold_uncertainty_score":0.005773962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009425204467687624,"score_gpt":0.2338119336170349,"score_spread":0.2243867291493473,"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."}}