{"id":"W2888302294","doi":"10.1177/0361198118791394","title":"Prevalence of Engagement in Single versus Multiple Types of Secondary Tasks: Results from the Naturalistic Engagement in Secondary Task (NEST) Dataset","year":2018,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Toyota Collaborative Safety Research Center","keywords":"Distraction; Task (project management); Psychology; Odds; Crash; Baseline (sea); Poison control; Human factors and ergonomics; Logistic regression; Applied psychology; Computer science; Cognitive psychology; Environmental health; Medicine; Engineering; Biology; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008480437,0.0002128588,0.0004354806,0.0008652553,0.0002778482,0.00004529411,0.001218719,0.0001638557,0.004065201],"category_scores_gemma":[0.001017429,0.0001544019,0.0001933724,0.001335267,0.0008487017,0.0004712421,0.00001841152,0.002730891,0.00004223234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002343831,"about_ca_system_score_gemma":0.0004940377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01784052,"about_ca_topic_score_gemma":0.09633282,"domain_scores_codex":[0.9907702,0.003849137,0.00231393,0.0004481926,0.002060925,0.0005575661],"domain_scores_gemma":[0.9911797,0.005392898,0.0008467864,0.0007458413,0.00169386,0.0001409252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.08639321,0.004793362,0.5165529,0.00171602,0.001507279,0.0004331265,0.1827112,0.002428437,0.02702137,0.005817432,0.1136358,0.05698986],"study_design_scores_gemma":[0.005881508,0.0009219721,0.9610258,0.0005235637,0.00004263293,2.851667e-7,0.007477676,0.0001137277,0.001502292,0.0003870072,0.02198793,0.0001355816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905432,0.0002786182,0.0001223234,0.001811091,0.001225866,0.001020093,0.003962083,0.00001104333,0.001025718],"genre_scores_gemma":[0.9982689,0.0002166431,0.0004902102,0.00005941445,0.0001475531,0.0000558377,0.0004006068,0.00002803981,0.0003327908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4444729,"threshold_uncertainty_score":0.9995698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1576868013547935,"score_gpt":0.4401340831705486,"score_spread":0.2824472818157551,"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."}}