{"id":"W2329394645","doi":"10.1177/154193120304701604","title":"Behavioral Adaptation to Adaptive Cruise Control","year":2003,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Headway; Distraction; Cruise control; Psychology; Driving simulator; Adaptation (eye); Brake; Simulation; Control (management); Computer science; Engineering; Automotive engineering; Cognitive 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":[0.0004389673,0.000299039,0.0001455253,0.0001926819,0.0001119355,0.0002064554,0.0001691485,0.0001812029,0.001293681],"category_scores_gemma":[0.003061509,0.00013771,0.0001759891,0.00006918283,0.0002435204,0.0001207119,0.0004580624,0.0003207218,0.0001028527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001524786,"about_ca_system_score_gemma":0.0001401491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000887681,"about_ca_topic_score_gemma":0.001053516,"domain_scores_codex":[0.9996471,0.0001238837,0.00002922497,0.00006633945,0.0000706615,0.00006275791],"domain_scores_gemma":[0.998587,0.0004882159,0.0002579924,0.0002935923,0.0001732946,0.0001998642],"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":[0.007221633,0.003202956,0.1059099,0.000266343,0.0001921449,0.0003275954,0.001746102,0.00131537,0.8385894,0.0001618768,0.0003309724,0.04073565],"study_design_scores_gemma":[0.000107302,0.02359739,0.9145054,0.00002046059,0.00006724502,0.0004474086,0.0005593418,0.002288396,0.05697821,0.0001240698,0.001265384,0.00003939447],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992544,0.00001294439,0.0003345536,0.000005101693,0.000002935428,0.00002999693,0.00001426153,0.00001012322,0.0003357239],"genre_scores_gemma":[0.9991654,0.00001699928,0.000348318,0.00001459035,0.0000029874,0.00004752722,0.00005048719,0.000004812991,0.0003488367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001293681,"threshold_uncertainty_score":0.004327834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0369259595170713,"score_gpt":0.3099962730782478,"score_spread":0.2730703135611766,"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."}}