{"id":"W6998470454","doi":"","title":"Algorithm Aversion: Investigating the Role of Confidence in AI-Assisted Judgment","year":2025,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ivey Foundation","funders":"","keywords":"Overconfidence effect; Advice (programming); Distrust; Interpersonal communication; Self-confidence; Vulnerability (computing)","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":[0.01053343,0.0003116023,0.0004102042,0.0006905178,0.0007473361,0.003025592,0.0005852599,0.00097516,0.002938375],"category_scores_gemma":[0.1023588,0.0002861665,0.0003768262,0.0004632867,0.0018524,0.001613754,0.001640236,0.002112939,0.0003430306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008856505,"about_ca_system_score_gemma":0.0008550953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002444877,"about_ca_topic_score_gemma":0.001984088,"domain_scores_codex":[0.9931157,0.004016631,0.0003657822,0.0008297293,0.001358229,0.0003137927],"domain_scores_gemma":[0.8469092,0.1090566,0.02506417,0.009844881,0.005224233,0.00390099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004866303,0.004880879,0.8307622,0.000408093,0.0004929402,0.0002623976,0.0424125,0.00386909,0.02820436,0.007108592,0.0009090667,0.07582366],"study_design_scores_gemma":[0.0002095828,0.00432331,0.931802,0.0001453404,0.0003583084,0.0003113212,0.009048359,0.02473292,0.01087788,0.01534843,0.002644565,0.0001979971],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959609,0.00004483007,0.001591375,0.0001150906,0.000008219803,0.00002123254,0.00001866567,0.00001064536,0.002229113],"genre_scores_gemma":[0.9982242,0.00001999033,0.001150974,0.00008770668,0.000007462685,0.0000283994,0.00002486464,0.000009149649,0.0004472497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01053343,"threshold_uncertainty_score":0.05570674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01875712916880699,"score_gpt":0.3197741787507343,"score_spread":0.3010170495819273,"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."}}