{"id":"W2950299576","doi":"","title":"Do Users Always Want to Know More? Investigating the Relationship between System Transparency and Users' Trust in Advice-Giving Systems.","year":2019,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transparency (behavior); Advice (programming); Internet privacy; Computer science; Need to know; Computer security","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":[0.01332443,0.0002745826,0.0004521419,0.001354639,0.001498915,0.003447011,0.0004358889,0.001250602,0.003339323],"category_scores_gemma":[0.1095989,0.0004270691,0.000764158,0.001330743,0.001727556,0.004447265,0.001602901,0.002360349,0.0003717496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002154199,"about_ca_system_score_gemma":0.001914706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009464742,"about_ca_topic_score_gemma":0.009974604,"domain_scores_codex":[0.9913321,0.005235613,0.0005638452,0.0005243198,0.001621455,0.000722694],"domain_scores_gemma":[0.763339,0.1714736,0.03984804,0.006047498,0.01350405,0.005787803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006425136,0.000877811,0.9083517,0.0002691439,0.0002924266,0.0001804271,0.06463505,0.0002945215,0.0007957931,0.002038902,0.0007459095,0.02087589],"study_design_scores_gemma":[0.00009067327,0.001144394,0.9131954,0.0002076345,0.0003434538,0.0001990727,0.0712949,0.006230599,0.001121555,0.00335464,0.002708691,0.0001090135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964309,0.0001302828,0.0005380964,0.0007079673,0.000009251188,0.00002689479,0.00004996621,0.000005769899,0.002100793],"genre_scores_gemma":[0.9993733,0.00004960077,0.0002432942,0.0001009444,0.000003636996,0.00002081561,0.00002237591,0.000002754987,0.0001831828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01332443,"threshold_uncertainty_score":0.07046711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05033457952731391,"score_gpt":0.273520380214089,"score_spread":0.2231858006867751,"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."}}