{"id":"W2940481127","doi":"10.3233/978-1-61499-951-5-9","title":"Axe the Fax: What Users Think of Electronic Referral","year":2019,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Victoria","funders":"","keywords":"Referral; Leverage (statistics); Process (computing); Business; Health care; Electronic health record; Quality (philosophy); Medicine; Internet privacy; Family medicine; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009673473,0.0003209044,0.0003816714,0.00170568,0.003417762,0.009020075,0.0009189664,0.003192847,0.009548592],"category_scores_gemma":[0.04797948,0.0003909121,0.0006004631,0.001560046,0.002309545,0.006771595,0.002263852,0.002137985,0.002782035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00273558,"about_ca_system_score_gemma":0.003227363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01808609,"about_ca_topic_score_gemma":0.01876912,"domain_scores_codex":[0.9907253,0.005485923,0.0005542631,0.0002800403,0.002158768,0.0007956613],"domain_scores_gemma":[0.9638542,0.02256946,0.003462708,0.0008153871,0.004971935,0.004326269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003134013,0.0002634554,0.2055212,0.001111197,0.0000728612,0.001598582,0.4532044,0.0001394394,0.001111317,0.002747822,0.1168014,0.2171149],"study_design_scores_gemma":[0.00003670473,0.0003987765,0.05368733,0.00178329,0.000066721,0.002553531,0.8062457,0.0004154099,0.0003258193,0.001876624,0.1324324,0.0001778006],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7555051,0.01210783,0.003185374,0.1627006,0.001197469,0.0002040163,0.0007007048,0.000444129,0.06395474],"genre_scores_gemma":[0.9368875,0.009535109,0.003112778,0.03960824,0.0005396525,0.00008533596,0.0003218323,0.0001711822,0.009738464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01808609,"threshold_uncertainty_score":0.05115885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03749369465068649,"score_gpt":0.3183200354568017,"score_spread":0.2808263408061152,"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."}}