{"id":"W4402136577","doi":"10.1177/10711813241277531","title":"Calibrating Trust, Reliance and Dependence in Variable-Reliability Automation","year":2024,"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":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Innovation for Defence Excellence and Security","keywords":"Reliability (semiconductor); Task (project management); Automation; Affect (linguistics); Psychology; Computer science; Identification (biology); Reliability engineering; Social psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007551475,0.0001532131,0.0001944275,0.00004543416,0.0002851593,0.0001414674,0.0001448095,0.0001388379,0.00006340197],"category_scores_gemma":[0.0001139367,0.0001207627,0.00008703151,0.0001801093,0.0001323291,0.0005267481,0.0001203865,0.0003360385,0.000001775437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008150673,"about_ca_system_score_gemma":0.00002091015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000288685,"about_ca_topic_score_gemma":0.00001162055,"domain_scores_codex":[0.998868,0.00001941337,0.0004641742,0.000350569,0.0001015247,0.0001963444],"domain_scores_gemma":[0.9994321,0.0001702086,0.0001956722,0.00007611333,0.0000790863,0.00004682117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008930456,0.0001585501,0.5778146,0.001580558,0.00018073,4.873696e-7,0.2137936,0.0002938934,0.0167052,0.1802931,0.006449732,0.00264025],"study_design_scores_gemma":[0.0008053561,0.0001154648,0.8542256,0.001412595,0.00007321319,0.00001978856,0.06770861,0.05920294,0.002399151,0.007004108,0.006372411,0.0006607107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949329,0.000173091,0.00003452137,0.0001843787,0.0003786771,0.0001693718,0.00002528085,0.0001001214,0.004001617],"genre_scores_gemma":[0.9984796,0.00002619432,0.0008570805,0.00006959445,0.00007398138,0.00001421454,0.000002284591,0.00001683687,0.0004602339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2764111,"threshold_uncertainty_score":0.4924558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582582121942215,"score_gpt":0.2888767764839419,"score_spread":0.2730509552645198,"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."}}