{"id":"W2944308471","doi":"10.1177/0361198119846474","title":"Investigating the Effects of Mental Workload on Highway Safety","year":2019,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Traffic and Road Safety","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Workload; Task (project management); Computer science; Process (computing); Transport engineering; Simulation; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008054551,0.0004153678,0.0002354463,0.0009714488,0.0003747304,0.001114894,0.0003512045,0.0002845456,0.001131973],"category_scores_gemma":[0.008631267,0.0001590732,0.0004267243,0.0008132267,0.0004362227,0.0004720892,0.0006226819,0.0003396588,0.0001762235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224167,"about_ca_system_score_gemma":0.001033069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08517948,"about_ca_topic_score_gemma":0.1154302,"domain_scores_codex":[0.9993117,0.0001699878,0.00003440635,0.00007389333,0.0002890672,0.0001209388],"domain_scores_gemma":[0.9948599,0.002379646,0.001171541,0.000197836,0.0009839789,0.0004071288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00030147,0.0002966383,0.9658434,0.0001278835,0.00012873,0.0001063609,0.002408146,0.001504949,0.002636842,0.0001204128,0.0002700711,0.02625505],"study_design_scores_gemma":[0.000001895035,0.00008550899,0.9980935,0.000009718446,0.00001631692,0.00001233809,0.0006794097,0.0007509382,0.0001959939,0.00004229564,0.0001060751,0.000006017269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988031,0.00008017918,0.0002849227,0.00002483982,0.000003329413,0.00000937551,0.00009288768,0.000005127889,0.000696212],"genre_scores_gemma":[0.9992047,0.0001048904,0.0002677802,0.00001115067,0.000005155483,0.00001112783,0.0001792409,0.000001867142,0.000214148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08517948,"threshold_uncertainty_score":0.1693674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0287059390074219,"score_gpt":0.3085622271700786,"score_spread":0.2798562881626567,"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."}}