{"id":"W4389500060","doi":"","title":"Trust in Automation: Analysis and Model of Operator Trust in Decision Aid AI Over Time","year":2023,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thales (Canada)","funders":"","keywords":"Automation; Operator (biology); Computer science; Decision model; Operations research; Artificial intelligence; Machine learning; Engineering; Chemistry","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":[0.006245427,0.0005012603,0.00123479,0.001199768,0.0008612383,0.003379032,0.001470785,0.001902738,0.00393755],"category_scores_gemma":[0.04662928,0.0006795112,0.0010621,0.001153349,0.003425088,0.005690581,0.001519027,0.002617306,0.0002584986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0034276,"about_ca_system_score_gemma":0.00191008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02425032,"about_ca_topic_score_gemma":0.01118344,"domain_scores_codex":[0.9975535,0.001062431,0.0001175054,0.0005514692,0.0002682292,0.0004468418],"domain_scores_gemma":[0.9528295,0.03724521,0.00426724,0.001824058,0.002462766,0.001371215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006621316,0.0003720467,0.02812065,0.0002308109,0.0003503298,0.0004482027,0.004166652,0.5928268,0.002692517,0.3424635,0.001314207,0.02635218],"study_design_scores_gemma":[0.00001477669,0.0000856147,0.004357683,0.00001820499,0.0000557258,0.00006549044,0.0002901005,0.9181309,0.0001724428,0.07654745,0.0002303268,0.00003123586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6016854,0.0005216101,0.3876884,0.002557537,0.00005532533,0.00007602918,0.0001860977,0.0001423486,0.007087216],"genre_scores_gemma":[0.9956582,0.00008128524,0.0029202,0.00002618012,0.00001381817,0.00001713857,0.00002662775,0.00001096883,0.001245681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02425032,"threshold_uncertainty_score":0.04821837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02264533439095761,"score_gpt":0.3159286330632846,"score_spread":0.2932832986723269,"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."}}