{"id":"W4233255714","doi":"10.2196/28510","title":"Standardizing Primary Health Care Referral Data Sets in Nigeria: Practitioners' Survey, Form Reviews, and Profiling of Fast Healthcare Interoperability Resources (FHIR)","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Referral; Interoperability; Profiling (computer programming); Health care; Health information exchange; Data sharing; Medicine; Knowledge management; Business; Nursing; Computer science; Health information; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.03371033,0.0002425871,0.0004808907,0.006358655,0.001441854,0.0018577,0.0009356969,0.0006920123,0.000922225],"category_scores_gemma":[0.07224584,0.0004789721,0.0003399662,0.006927899,0.0008900347,0.001712208,0.002811929,0.0007479196,0.0003725558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00349173,"about_ca_system_score_gemma":0.008998741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01578301,"about_ca_topic_score_gemma":0.02674603,"domain_scores_codex":[0.9637554,0.01816017,0.008730979,0.001921151,0.006303246,0.001129123],"domain_scores_gemma":[0.9308601,0.02717396,0.01778893,0.004806861,0.01740039,0.001969696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007169591,0.0001893582,0.8556706,0.001349661,0.00002683425,0.000359471,0.05311983,0.0001780274,0.001073659,0.0007245372,0.003306557,0.0839297],"study_design_scores_gemma":[0.00001536131,0.000384356,0.8643103,0.001847353,0.00005127514,0.0008281925,0.1056611,0.001070662,0.001512418,0.000584694,0.02367746,0.0000568267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796941,0.001494983,0.005421256,0.001862352,0.00004843453,0.002530751,0.003789098,0.00006326519,0.005095782],"genre_scores_gemma":[0.9625668,0.002129297,0.02747688,0.000751148,0.00003106147,0.002644144,0.003291427,0.00003510406,0.001074035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03371033,"threshold_uncertainty_score":0.1782794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1479362244476214,"score_gpt":0.4346198896888985,"score_spread":0.2866836652412771,"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."}}