{"id":"W3123699452","doi":"10.25300/misq/2020/14435","title":"Can Recommender Systems Reduce Healthcare Costs? The Role of Time Pressure and Cost Transparency in Prescription Choice","year":2020,"lang":"en","type":"article","venue":"MIS Quarterly","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transparency (behavior); Recommender system; Medical prescription; Health care; Business; Computer science; Risk analysis (engineering); Economics; Medicine; Nursing; Computer security; World Wide Web; Economic growth","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":[0.0005370615,0.0002109261,0.0003508583,0.00004370831,0.0001820356,0.00002522424,0.0002755691,0.0004618619,0.0003434441],"category_scores_gemma":[0.00004061261,0.0001778607,0.00004921624,0.0002287584,0.0001490566,0.0001187903,0.00001369428,0.001535199,0.00002158177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005411616,"about_ca_system_score_gemma":0.00009970299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001813527,"about_ca_topic_score_gemma":0.000374855,"domain_scores_codex":[0.9971893,0.00129364,0.000550893,0.0003570658,0.000155895,0.0004531593],"domain_scores_gemma":[0.9987676,0.0003395269,0.0001544782,0.0001755896,0.00009052403,0.0004723089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003794085,0.001374619,0.1959207,0.004609303,0.0009355192,0.00006481788,0.1082798,0.0009705222,0.1468523,0.007840111,0.03542537,0.4939328],"study_design_scores_gemma":[0.005359747,0.002065981,0.02313515,0.0003262545,0.0005292508,0.00004381644,0.01469546,0.06373053,0.009710087,0.0006566612,0.8789394,0.0008076106],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.784294,0.03469463,0.00002812664,0.1690795,0.001080919,0.004229216,0.001560189,0.000181894,0.004851466],"genre_scores_gemma":[0.9956343,0.0002191078,0.000006220398,0.003479179,0.0002844036,0.0001291206,0.00004482311,0.00001930694,0.0001836099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8435141,"threshold_uncertainty_score":0.7252949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2823631546439659,"score_gpt":0.4728720286804166,"score_spread":0.1905088740364506,"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."}}