{"id":"W2551551094","doi":"10.11128/sne.22.tn.10127","title":"Cognitive Aspects of Traffic Simulations in Virtual Environments","year":2012,"lang":"en","type":"article","venue":"SNE Simulation Notes Europe","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of New Brunswick","funders":"Deutsche Gesetzliche Unfallversicherung; Bundesministerium für Bildung und Forschung","keywords":"Cognition; Computer science; Environmental science; Human–computer interaction; Psychology; 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":[0.0008427395,0.0004388869,0.0002285705,0.0003677124,0.0006454631,0.002010813,0.0005939142,0.0006372401,0.001962294],"category_scores_gemma":[0.005957609,0.0002777509,0.0004037405,0.0001924419,0.001723403,0.001539728,0.001347257,0.0008100109,0.000125768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007203381,"about_ca_system_score_gemma":0.0006365824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004582496,"about_ca_topic_score_gemma":0.002566536,"domain_scores_codex":[0.9993972,0.0003764857,0.00001908194,0.00004419635,0.0001092658,0.00005388772],"domain_scores_gemma":[0.9976889,0.001593111,0.0001543333,0.0001938977,0.000175793,0.0001939517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002112509,0.000169309,0.003851871,0.0001079291,0.00006621692,0.0001945583,0.0021694,0.6969014,0.004194762,0.2727505,0.0006741782,0.0187087],"study_design_scores_gemma":[0.00002817649,0.00006090767,0.001515515,0.00001900883,0.00001970863,0.00005713366,0.0004042529,0.8488522,0.0009440432,0.1455248,0.00254608,0.0000281213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5340819,0.0003617423,0.4051165,0.001151879,0.00008697938,0.000128459,0.00008610125,0.0002937646,0.05869264],"genre_scores_gemma":[0.9797008,0.0001219086,0.01869441,0.00003084662,0.00001648578,0.00004377032,0.00002782917,0.00002106148,0.001342856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004582496,"threshold_uncertainty_score":0.009111643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04837476971447213,"score_gpt":0.3714116628773307,"score_spread":0.3230368931628586,"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."}}