{"id":"W560002462","doi":"10.17077/drivingassessment.1390","title":"Attentional Tracking of Multiple Vehicles in a Highway Driving Scenario","year":2011,"lang":"en","type":"article","venue":"","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Tracking (education); Transport engineering; Automotive engineering; Aeronautics; Environmental science; Engineering; Psychology","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":[0.0004496788,0.0002867802,0.0001788053,0.0003739111,0.0002813484,0.0004932745,0.0004039584,0.0006730526,0.001501421],"category_scores_gemma":[0.003108002,0.0001967463,0.0001551673,0.0001504668,0.0002538546,0.0008174294,0.000580897,0.0002265106,0.0002180794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002305718,"about_ca_system_score_gemma":0.0002436613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003163483,"about_ca_topic_score_gemma":0.004116027,"domain_scores_codex":[0.9997452,0.00007954965,0.00001782384,0.00006347401,0.00006344327,0.0000305391],"domain_scores_gemma":[0.9986713,0.0006261035,0.0003011932,0.0001267728,0.0001281648,0.0001464929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004110325,0.004605614,0.2374422,0.0006070493,0.0002745741,0.002982777,0.01001067,0.03038232,0.4298966,0.00374508,0.002595323,0.2733475],"study_design_scores_gemma":[0.0003497536,0.009085716,0.7597767,0.0001417822,0.0002558301,0.004174788,0.005022633,0.1307511,0.07488044,0.007165714,0.008081804,0.0003137738],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963492,0.00005696723,0.002569088,0.00002150713,0.000004850835,0.00001890182,0.00002141346,0.00002707656,0.0009309486],"genre_scores_gemma":[0.9963045,0.00006381329,0.003282453,0.00002604061,0.00000639953,0.00001099194,0.00005428645,0.000004053538,0.000247566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003163483,"threshold_uncertainty_score":0.006290138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0781710576556507,"score_gpt":0.3378966613090729,"score_spread":0.2597256036534222,"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."}}