{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000764357,0.0002281905,0.0003977162,0.0003671396,0.0002890567,0.0001964759,0.0004067028,0.0002323724,0.000034188],"category_scores_gemma":[0.0004520875,0.0001614457,0.00003940436,0.001608245,0.0001020666,0.0009677971,0.0004940268,0.0003307658,0.00001363475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007370197,"about_ca_system_score_gemma":0.0001344951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001205217,"about_ca_topic_score_gemma":0.0002951682,"domain_scores_codex":[0.997788,0.00003539364,0.00104004,0.0001762274,0.0005773479,0.0003830171],"domain_scores_gemma":[0.9987581,0.00006254989,0.0003155936,0.0003889417,0.0004258167,0.00004903493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009506624,0.0005203297,0.01601534,0.003829773,0.0001820021,0.00001673848,0.02968349,0.001029645,0.00002644897,0.03089022,0.02875967,0.8889512],"study_design_scores_gemma":[0.006485683,0.0005105698,0.1343094,0.01053926,0.0003701129,0.00006713843,0.1163811,0.3653811,0.0003410245,0.007061413,0.3561643,0.002388918],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9046965,0.00003938305,0.08395437,0.007200248,0.0006381517,0.002218897,0.000002577953,0.000216102,0.001033721],"genre_scores_gemma":[0.9916633,0.000002461612,0.002647178,0.004936094,0.0004656269,0.000204402,0.00001144777,0.00001651955,0.00005291742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8865623,"threshold_uncertainty_score":0.6583563,"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."}}