{"id":"W4394961243","doi":"10.3389/fnagi.2024.1369179","title":"Neuroanatomical correlates of distracted straight driving performance: a driving simulator MRI study across the lifespan","year":2024,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto; Toronto Metropolitan University; Hotchkiss Brain Institute; Ontario Brain Institute; St. Michael's Hospital; University of Calgary","funders":"","keywords":"Driving simulator; Distracted driving; Psychology; Simulation; Driving simulation; Distraction; Computer science; Neuroscience","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":[0.0003006539,0.0002188309,0.0001464804,0.0005153404,0.0002635454,0.0002582914,0.0002018848,0.0002405438,0.0004232908],"category_scores_gemma":[0.001099642,0.0001596637,0.000155492,0.0002092573,0.0002181871,0.0002491223,0.0003648001,0.0001841198,0.0001247779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002245988,"about_ca_system_score_gemma":0.0001968328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004926011,"about_ca_topic_score_gemma":0.01054185,"domain_scores_codex":[0.9999059,0.00001673375,0.00001137951,0.00003298817,0.00001695686,0.00001608563],"domain_scores_gemma":[0.9996037,0.00003859714,0.0001336247,0.00003185214,0.00009912695,0.00009317889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002015078,0.0001256953,0.9882264,0.0000182092,0.00004820342,0.0005521245,0.001257105,0.00008038889,0.006221663,0.00001531745,0.00005512685,0.003198171],"study_design_scores_gemma":[0.000002415275,0.0002039092,0.9986328,0.00000327253,0.00001120644,0.0005300546,0.0002503356,0.00007384186,0.0001948593,0.00001301514,0.00008203043,0.000002221941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998431,0.00003260696,0.00002868381,0.000003118917,2.783173e-7,0.000002983491,0.00004679199,8.235872e-7,0.0000415779],"genre_scores_gemma":[0.9996446,0.00003826841,0.0001038801,0.000006051155,7.125125e-7,0.000005730845,0.000117048,7.597565e-7,0.00008292373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004926011,"threshold_uncertainty_score":0.009794652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02363311984351029,"score_gpt":0.3655098825311834,"score_spread":0.3418767626876731,"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."}}