{"id":"W34653427","doi":"10.25300/misq/2014/38.2.03","title":"The Nature and Consequences of Trade-Off Transparency in the Context of Recommendation Agents1","year":2014,"lang":"en","type":"article","venue":"MIS Quarterly","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":222,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transparency (behavior); Context (archaeology); Outcome (game theory); Computer science; Interface (matter); Business; Microeconomics; Economics; Computer security; Geography","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":[0.0006868063,0.00007060407,0.0001134378,0.00005329858,0.00008269626,0.00006007688,0.0001580667,0.000043672,0.00004400338],"category_scores_gemma":[0.00002791664,0.00004217227,0.00003288594,0.0001447104,0.0001025056,0.0001785275,0.000003500917,0.0001185004,0.000001214937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002263904,"about_ca_system_score_gemma":0.000005185934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005262523,"about_ca_topic_score_gemma":0.001252369,"domain_scores_codex":[0.9994202,0.00005458026,0.0002391056,0.00009483785,0.00009808959,0.00009316565],"domain_scores_gemma":[0.9994839,0.0002344155,0.0001380226,0.0001156907,0.00002470863,0.00000325515],"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":[0.00003541294,0.00003142443,0.05510121,0.00007419178,0.000008222687,5.425426e-7,0.002559439,7.909887e-8,0.001625494,0.002759188,0.0005017164,0.9373031],"study_design_scores_gemma":[0.001384955,0.0001328574,0.8497083,0.000156789,0.0001431427,0.000004301111,0.02056705,0.000620752,0.0003995537,0.003677125,0.1229484,0.0002567198],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906003,0.0003433997,0.00003578392,0.00496206,0.0001317122,0.0001539864,0.000003051026,0.000007349434,0.003762285],"genre_scores_gemma":[0.9995069,0.00002259668,0.000006665159,0.0003965973,0.00003916749,0.000006708575,0.000008240483,0.000003752024,0.000009376698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9370463,"threshold_uncertainty_score":0.1719735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.016437506605487,"score_gpt":0.2440679892692836,"score_spread":0.2276304826637966,"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."}}