{"id":"W2980039010","doi":"10.3390/app9204244","title":"Recommendation Agent Adoption: How Recommendation Presentation Influences Employees’ Perceptions, Behaviors, and Decision Quality","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Perception; Credibility; Transparency (behavior); Quality (philosophy); Decision quality; Psychology; Knowledge management; Control (management); Applied psychology; Cognition; Presentation (obstetrics); Computer science; Artificial intelligence; Medicine","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":[0.006145811,0.0002898528,0.0002844433,0.00050094,0.0004842175,0.002420391,0.0002761969,0.0006683159,0.002237903],"category_scores_gemma":[0.03392618,0.0002677219,0.0004109727,0.0003545521,0.000465587,0.0009631063,0.0005732106,0.0007393591,0.000304312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005449753,"about_ca_system_score_gemma":0.0007052779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003998369,"about_ca_topic_score_gemma":0.003690662,"domain_scores_codex":[0.995936,0.002327468,0.0003321426,0.00040294,0.0007675154,0.0002337502],"domain_scores_gemma":[0.9598928,0.02928783,0.005499367,0.001685449,0.002357902,0.001276529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001533401,0.004389667,0.8588161,0.0002911447,0.0002963249,0.0001930877,0.02791516,0.001460996,0.02353651,0.0003587597,0.0005510029,0.08065788],"study_design_scores_gemma":[0.0001183431,0.004065047,0.9657704,0.00005581352,0.0002420892,0.00009986512,0.01441788,0.006700952,0.006328604,0.0003911179,0.001718399,0.00009156713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985317,0.00002941383,0.0005739328,0.00005054148,0.000002424147,0.0000341907,0.00001344719,0.00001435657,0.0007498906],"genre_scores_gemma":[0.9982182,0.00003289411,0.001288449,0.0000281072,0.000003548266,0.0000306382,0.00003061326,0.000004899747,0.0003626399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006145811,"threshold_uncertainty_score":0.03250253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1399640204384215,"score_gpt":0.4320449959340808,"score_spread":0.2920809754956594,"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."}}