{"id":"W2995871272","doi":"10.1177/0018720819887252","title":"Human Performance Benefits of The Automation Transparency Design Principle","year":2019,"lang":"en","type":"article","venue":"Human Factors The Journal of the Human Factors and Ergonomics Society","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transparency (behavior); Automation; Computer science; Risk analysis (engineering); Engineering; Business; Computer security; Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01194993,0.000984112,0.0002517553,0.0003135907,0.0006064834,0.001195531,0.0009144429,0.001406861,0.004383011],"category_scores_gemma":[0.04690254,0.000344781,0.0003994859,0.0001500386,0.001759624,0.001487922,0.001927757,0.0009355792,0.000446853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008777355,"about_ca_system_score_gemma":0.001782987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009524526,"about_ca_topic_score_gemma":0.0008643158,"domain_scores_codex":[0.9868427,0.007833363,0.0007862162,0.001032812,0.003094321,0.0004106787],"domain_scores_gemma":[0.9308189,0.04799974,0.009157325,0.006486136,0.004301434,0.001236506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02234302,0.01908353,0.1106338,0.005731282,0.0006684028,0.0007798446,0.0115146,0.07894046,0.3354968,0.023496,0.005365251,0.385947],"study_design_scores_gemma":[0.007581502,0.1133182,0.3603928,0.001612778,0.001636452,0.001778495,0.004667419,0.1429115,0.2882356,0.03912769,0.03802215,0.000715379],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8861086,0.0001883314,0.09205914,0.001272299,0.0001083395,0.001826313,0.0001265301,0.000484132,0.01782619],"genre_scores_gemma":[0.951843,0.0000466846,0.04598206,0.0002940302,0.00002039402,0.0007367746,0.00005997453,0.00003321869,0.00098375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01194993,"threshold_uncertainty_score":0.06319803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05127704315893655,"score_gpt":0.3078517927419938,"score_spread":0.2565747495830572,"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."}}