{"id":"W2795159612","doi":"10.3390/geriatrics3020016","title":"Naturalistic Driving: A Framework and Advances in Using Big Data","year":2018,"lang":"en","type":"article","venue":"Geriatrics","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Carleton University; Bruyère; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Toronto Rehabilitation Institute; University of Manitoba; Ottawa Hospital Research Institute","keywords":"Cognition; Affect (linguistics); Variety (cybernetics); Medicine; Destinations; Poison control; Naturalistic observation; Applied psychology; Transport engineering; Physical medicine and rehabilitation; Computer science; Psychology; Medical emergency; Engineering; Artificial intelligence; Psychiatry; Communication; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005101498,0.0001379379,0.0002398472,0.0001439819,0.0005693042,0.00001627512,0.0003041055,0.000164949,0.00002298213],"category_scores_gemma":[0.00321735,0.0001200865,0.00001128495,0.0005444983,0.0001265136,0.000247776,0.000883205,0.0005161098,0.00003950273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007867925,"about_ca_system_score_gemma":0.0001132043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001877541,"about_ca_topic_score_gemma":0.00351515,"domain_scores_codex":[0.9984576,0.0001752005,0.0003457161,0.0003969259,0.0001657385,0.0004588126],"domain_scores_gemma":[0.9980624,0.000997926,0.0001577598,0.0006051692,0.000111428,0.00006527676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007688301,0.00002911607,0.9862384,0.000250442,0.00001066639,0.000006831705,0.004019923,0.000001878994,0.00003760671,0.0006935816,0.001730825,0.006973017],"study_design_scores_gemma":[0.0009383566,0.00008126024,0.8692512,0.001252784,0.00007583648,0.000005339542,0.002823062,0.003054598,0.000005994311,0.01176465,0.1102097,0.0005371955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801426,0.005759308,0.006312507,0.0008290278,0.005353372,0.0004472322,0.00004341402,0.0001141274,0.000998404],"genre_scores_gemma":[0.9843124,0.001462791,0.01149243,0.0003472107,0.002231154,0.000009035719,0.00000791421,0.00002361052,0.0001134541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1169872,"threshold_uncertainty_score":0.4896984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1605658913746919,"score_gpt":0.4642314160406323,"score_spread":0.3036655246659404,"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."}}