{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0312916,0.0005718261,0.0005381266,0.001751068,0.001959492,0.004970551,0.001859201,0.002308663,0.002605142],"category_scores_gemma":[0.238999,0.0008071847,0.0005806999,0.0008841083,0.0062774,0.007081768,0.004508641,0.005002669,0.0005959961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001298492,"about_ca_system_score_gemma":0.001923157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002306731,"about_ca_topic_score_gemma":0.002028702,"domain_scores_codex":[0.9563885,0.02447686,0.002247275,0.003120299,0.01116033,0.002606693],"domain_scores_gemma":[0.6926237,0.2416135,0.01596378,0.03002556,0.01551576,0.00425762],"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":[0.0016067,0.001057331,0.3122453,0.0003988904,0.0004124362,0.004400272,0.1909975,0.006981587,0.01982217,0.07809635,0.005125013,0.3788565],"study_design_scores_gemma":[0.0002962401,0.001594878,0.2439299,0.0009697253,0.0007001632,0.01607162,0.110504,0.1255127,0.03859948,0.4038011,0.05731362,0.0007064907],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8683211,0.0002152376,0.08231248,0.004931481,0.0001252913,0.0001102178,0.00004421676,0.0008621681,0.04307789],"genre_scores_gemma":[0.9932082,0.00003120318,0.004892277,0.000493912,0.00002041573,0.00003379787,0.00002289991,0.000196243,0.001101156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0312916,"threshold_uncertainty_score":0.1654878,"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."}}