{"id":"W4409746147","doi":"10.1145/3706598.3714103","title":"To Use or Not to Use: Impatience and Overreliance When Using Generative AI Productivity Support Tools","year":2025,"lang":"en","type":"article","venue":"","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"Productivity; Generative grammar; Computer science; Artificial intelligence; Knowledge management; Economics; Macroeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001688364,0.0001464031,0.0001919837,0.0001698326,0.0001526322,0.0002430985,0.00009995,0.00006186461,0.004922817],"category_scores_gemma":[0.0005179729,0.0001208284,0.00002982533,0.0002763329,0.00003509954,0.0008812716,0.00008895365,0.0001283292,0.0002595441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009753696,"about_ca_system_score_gemma":0.00009469069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006792574,"about_ca_topic_score_gemma":0.0005708074,"domain_scores_codex":[0.9987379,0.0001107578,0.0002953934,0.0004961074,0.0001331957,0.000226639],"domain_scores_gemma":[0.9990635,0.0001868184,0.00005864824,0.0003771095,0.0001953782,0.000118567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00327495,0.0006895497,0.08087954,0.00006350312,0.0002811242,0.00005317721,0.04715034,0.0008419302,0.04337338,0.04059916,0.7232285,0.05956491],"study_design_scores_gemma":[0.0006660903,0.0003362579,0.6994354,0.00006812793,0.00002328309,0.00003072785,0.0006873867,0.001385551,0.0109612,0.00008765459,0.2858882,0.0004301362],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9339586,0.000001565975,0.05493129,0.005200885,0.001408002,0.0006852984,0.00005036515,0.0001111207,0.003652845],"genre_scores_gemma":[0.8571594,0.000001032929,0.008934602,0.01873089,0.00006066573,0.00005260173,0.000004895976,0.00001080842,0.1150451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6185558,"threshold_uncertainty_score":0.9959868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1296565776342372,"score_gpt":0.441352101730935,"score_spread":0.3116955240966978,"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."}}