{"id":"W2062402846","doi":"10.1177/1541931214581454","title":"Driver Engagement in Notifications","year":2014,"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":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Smartwatch; Wearable computer; Computer science; Human–computer interaction; Wearable technology; Exploratory research; Internet privacy; Display size; Smartphone application; Multimedia; Embedded system; Operating system; Display device","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":[0.001047616,0.0004287495,0.0002827581,0.0005156592,0.0004348769,0.001238808,0.0003204272,0.0007763118,0.003889576],"category_scores_gemma":[0.01295938,0.0002418191,0.0004133703,0.000210757,0.0001743795,0.000996621,0.0009777923,0.0004305017,0.0008196551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002651845,"about_ca_system_score_gemma":0.0002818723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001949257,"about_ca_topic_score_gemma":0.002717816,"domain_scores_codex":[0.9986331,0.0005084035,0.00009161803,0.000185064,0.0004043875,0.0001773592],"domain_scores_gemma":[0.9945602,0.002908854,0.0008354951,0.0003251348,0.001023317,0.0003469811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00524736,0.001821583,0.4877423,0.002225387,0.0005039724,0.001182893,0.04411917,0.002153312,0.11629,0.001588681,0.006857836,0.3302675],"study_design_scores_gemma":[0.0001258738,0.004370884,0.9074973,0.0004554863,0.0004226495,0.001090928,0.02339453,0.007897092,0.01993145,0.002030538,0.03256023,0.0002229929],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873956,0.0003623448,0.004078302,0.0001704692,0.00005641273,0.00007881539,0.0001614487,0.0002095861,0.007486999],"genre_scores_gemma":[0.996223,0.000156591,0.001429185,0.00007857154,0.0000185418,0.0000448473,0.0001739939,0.00002370261,0.001851734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003889576,"threshold_uncertainty_score":0.01301199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.028348228403157,"score_gpt":0.2998274575722117,"score_spread":0.2714792291690547,"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."}}