{"id":"W4409792976","doi":"10.2196/62983","title":"A Unique Way to Axe the Fax Through Using Business Automation Workflow to Expedite eReferral Adoption, Bridging eReferral, and Fax: Proof-of-Concept Study","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Eastern Ontario Training Board; McMaster University; Public Health Ontario; University of Toronto","funders":"","keywords":"Workflow; Preprint; Bridging (networking); Automation; Computer science; World Wide Web; Software engineering; Database; Business; Engineering; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004328343,0.0009541956,0.0006424017,0.0008905678,0.0004288535,0.001764835,0.001308586,0.001176694,0.004124145],"category_scores_gemma":[0.004404897,0.000348762,0.001074426,0.0002547141,0.0006503605,0.001773566,0.001124935,0.0012645,0.0008806713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005322917,"about_ca_system_score_gemma":0.001772075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009080734,"about_ca_topic_score_gemma":0.0008913722,"domain_scores_codex":[0.9975695,0.0007314658,0.0001122902,0.0002363068,0.001012727,0.0003376673],"domain_scores_gemma":[0.9971516,0.0007150845,0.0004588979,0.0002371476,0.0009563629,0.0004809988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006544556,0.02434875,0.01167597,0.01042839,0.0006714796,0.002443114,0.001847525,0.01260211,0.4638084,0.01048305,0.01540098,0.4397457],"study_design_scores_gemma":[0.004145384,0.1568018,0.02132691,0.001346817,0.001214445,0.002913769,0.002048464,0.06449614,0.6191394,0.002742295,0.1233151,0.0005095425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8480304,0.006112935,0.1110671,0.002003419,0.001241612,0.01054652,0.0007583198,0.001756947,0.01848275],"genre_scores_gemma":[0.8093051,0.003221606,0.1735656,0.001046108,0.0001553179,0.004832692,0.0004359282,0.0001103924,0.007327229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004328343,"threshold_uncertainty_score":0.02289075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03981422721631749,"score_gpt":0.3294603465056419,"score_spread":0.2896461192893244,"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."}}