{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03120871,0.001129517,0.00119254,0.008697293,0.002218024,0.008845089,0.003788796,0.002285296,0.001019115],"category_scores_gemma":[0.05548996,0.0009168757,0.001827366,0.01240577,0.005251057,0.01022483,0.005846542,0.003540335,0.0002385338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003556935,"about_ca_system_score_gemma":0.005188046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03145608,"about_ca_topic_score_gemma":0.03455645,"domain_scores_codex":[0.9756433,0.01902733,0.001371872,0.001793568,0.001894449,0.0002693719],"domain_scores_gemma":[0.8704049,0.1034989,0.004580482,0.01362704,0.005881152,0.002007602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002193187,0.0004484716,0.1322476,0.00454505,0.0007896504,0.0009521024,0.01780225,0.0196436,0.0009786804,0.5721279,0.02032112,0.2299242],"study_design_scores_gemma":[0.00005536211,0.0002892809,0.04958976,0.004561489,0.0002262455,0.0008927871,0.01862598,0.05697777,0.000963397,0.6146723,0.2528472,0.0002984341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07446471,0.04787488,0.7519128,0.06972256,0.001643763,0.001584075,0.01547722,0.0007093295,0.03661077],"genre_scores_gemma":[0.4004906,0.0248065,0.5559361,0.005012562,0.001722224,0.002676152,0.007725775,0.0002313818,0.00139881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03145608,"threshold_uncertainty_score":0.1650494,"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."}}