{"id":"W3092101308","doi":"10.1016/j.ergon.2020.103044","title":"Investigating user activities and the corresponding requirements for information and functions in autonomous vehicles of the future","year":2020,"lang":"en","type":"article","venue":"International Journal of Industrial Ergonomics","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bridge (graph theory); Transport engineering; Engineering; Focus (optics); Human–computer interaction; Computer science","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":[0.0004800305,0.00006411489,0.0001326158,0.0001156055,0.00006839446,0.00007407198,0.0001752613,0.00006623007,0.00003464897],"category_scores_gemma":[0.0004548303,0.00004288317,0.00006057283,0.00007049559,0.0001049701,0.000477069,0.00004864074,0.0002692429,9.963617e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007070888,"about_ca_system_score_gemma":0.00009593419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002216285,"about_ca_topic_score_gemma":0.0000173343,"domain_scores_codex":[0.9990734,0.0001035112,0.0005879136,0.00005255623,0.000122161,0.0000603914],"domain_scores_gemma":[0.9986731,0.000381095,0.0007369518,0.00004652553,0.000127795,0.00003457243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02536723,0.0002046723,0.2515619,0.00004748356,0.00186683,0.000003758196,0.09094989,0.008410323,0.001768309,0.2267322,0.0301608,0.3629266],"study_design_scores_gemma":[0.06593904,0.0008961005,0.3613733,0.0006493328,0.0002867361,0.000354027,0.1126215,0.02790868,0.002569048,0.00278565,0.4239237,0.0006929594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863788,0.00002861135,0.0004781414,0.009472268,0.00309701,0.0001776215,0.00003406876,0.000004285684,0.0003291176],"genre_scores_gemma":[0.9981483,0.00001212205,0.0001411865,0.0008622162,0.0007627729,0.000007167551,0.000003492193,0.000004417668,0.00005836175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3937629,"threshold_uncertainty_score":0.1748725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05417485348680805,"score_gpt":0.3248845031797632,"score_spread":0.2707096496929551,"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."}}