{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001067207,0.0001421953,0.0004340191,0.0006238135,0.0001913138,0.00002482569,0.0002844595,0.0002194434,0.000006446489],"category_scores_gemma":[0.0001707366,0.00009508088,0.00002666828,0.0008942686,0.0003771061,0.0007904121,0.0003417286,0.0005394982,0.00003605369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007545178,"about_ca_system_score_gemma":0.00006766936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002443517,"about_ca_topic_score_gemma":0.0004504364,"domain_scores_codex":[0.9984282,0.00001301977,0.0008266234,0.0001096401,0.0001190738,0.0005034857],"domain_scores_gemma":[0.9989395,0.00006793741,0.0005123859,0.0003610618,0.0001131798,0.000005979582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000162517,0.00001911612,0.05037632,0.00371589,0.00006157976,7.154953e-7,0.002172133,0.00001274007,0.00000126128,0.8786772,0.001133063,0.06381377],"study_design_scores_gemma":[0.00151523,0.0004328923,0.008035993,0.001528136,0.00002106789,0.00003538647,0.2957951,0.002964784,0.00001988402,0.1221912,0.5670376,0.0004226335],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9563544,0.01228765,0.00001809566,0.02827811,0.0007119869,0.0007584882,7.26045e-7,0.0001702702,0.00142023],"genre_scores_gemma":[0.9897178,0.006707424,0.0001011305,0.003338045,0.00004025644,0.00002973489,0.000001838781,0.000008530625,0.00005517726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7564859,"threshold_uncertainty_score":0.3877286,"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."}}