{"id":"W4398206255","doi":"10.1016/j.trb.2024.102969","title":"A new car-following model with incorporation of Markkula's framework of sensorimotor control in sustained motion tasks","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part B Methodological","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; FedDev Ontario; Canada Foundation for Innovation","keywords":"Motion (physics); Computer science; Control (management); Physical medicine and rehabilitation; Control theory (sociology); Psychology; Artificial intelligence; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003628401,0.0001489607,0.0004031907,0.0003930629,0.00005961676,0.00003187579,0.0001562938,0.0001890387,0.00006750315],"category_scores_gemma":[0.001942084,0.0001131402,0.0001248579,0.00109765,0.0001391601,0.0002736215,0.000004865549,0.0005153338,0.0000027936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005457076,"about_ca_system_score_gemma":0.0002814037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002142793,"about_ca_topic_score_gemma":0.00008525058,"domain_scores_codex":[0.9957734,0.001817506,0.0006218855,0.0004964297,0.0009551197,0.0003356098],"domain_scores_gemma":[0.9955212,0.003873795,0.0001207291,0.0001932807,0.0001742352,0.0001167485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002708426,0.0001661285,0.005063162,0.0003641451,0.00002783501,0.0002238636,0.001813167,0.07953926,0.7895666,0.112388,0.00003740653,0.008101985],"study_design_scores_gemma":[0.004930606,0.00184908,0.09017287,0.0008785038,0.0001367189,0.000004147176,0.00102798,0.6775737,0.09517896,0.1274808,0.0002146763,0.0005519942],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4279475,0.00004044277,0.5707647,0.0004554944,0.0000573858,0.0005888699,0.0000312156,0.000039329,0.00007502365],"genre_scores_gemma":[0.9496103,0.00002341932,0.0500139,0.00003944153,0.0000521902,0.00007672928,0.00002015684,0.00001658069,0.0001473096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6943876,"threshold_uncertainty_score":0.4613726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2784701398130713,"score_gpt":0.4369260944801608,"score_spread":0.1584559546670894,"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."}}