{"id":"W4411739415","doi":"10.1080/0144929x.2025.2506664","title":"Explain it to me like I’m five: harnessing the power of explanations to increase trust in workplace generative AI","year":2025,"lang":"en","type":"article","venue":"Behaviour and Information Technology","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Generative grammar; Power (physics); Psychology; Business; Knowledge management; Social psychology; Computer science; Artificial intelligence; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0006908693,0.00006738138,0.0001214032,0.0005185895,0.0004442421,0.0001109001,0.0002030783,0.0002104576,0.00002892631],"category_scores_gemma":[0.0009451887,0.00005777521,0.00001883963,0.001005405,0.000179256,0.000858849,0.0000890165,0.0002178029,0.000006575307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007505481,"about_ca_system_score_gemma":0.0002066761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001915227,"about_ca_topic_score_gemma":0.003355251,"domain_scores_codex":[0.9992811,0.00006378993,0.0002644957,0.00007338563,0.0001472516,0.00016994],"domain_scores_gemma":[0.999415,0.00008887563,0.00007158716,0.0001170914,0.0002533806,0.00005404295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003978557,0.00006786032,0.03112376,0.00001039363,0.00001429062,0.000001167986,0.1988161,0.00007821435,0.0001505714,0.7291959,0.02322483,0.01727711],"study_design_scores_gemma":[0.00125407,0.0002739723,0.08795178,0.0003098387,0.00004734859,0.00000206728,0.6888924,0.0001852065,0.00230779,0.02769033,0.1905575,0.0005277538],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7912704,0.00003441954,0.002260598,0.1883994,0.0001572149,0.0004724459,0.00002111645,0.00005164156,0.01733275],"genre_scores_gemma":[0.991244,0.00004394079,0.0005413297,0.007382538,0.000008097877,0.00005256396,0.000005457242,0.00000199677,0.0007200323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7015055,"threshold_uncertainty_score":0.3416796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381223866489706,"score_gpt":0.3406367254951257,"score_spread":0.3268244868302287,"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."}}