{"id":"W4285315819","doi":"10.2196/35724","title":"Fast Healthcare Interoperability Resources (FHIR) for Interoperability in Health Research: Systematic Review","year":2022,"lang":"en","type":"review","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":233,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Interoperability; Systematic review; Standardization; Health care; Computer science; MEDLINE; Data science; Health informatics; Medicine; World Wide Web; Public health; Knowledge management; Nursing; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05641013,0.002373044,0.01243245,0.03170263,0.001450191,0.005098522,0.003576956,0.003087582,0.009179831],"category_scores_gemma":[0.1996394,0.001804811,0.0138982,0.02929319,0.002394491,0.008869749,0.004912104,0.002181791,0.0007614713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009240881,"about_ca_system_score_gemma":0.03769223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008783135,"about_ca_topic_score_gemma":0.021528,"domain_scores_codex":[0.9344788,0.0252145,0.02565042,0.002650807,0.01098253,0.001022899],"domain_scores_gemma":[0.8054244,0.1382748,0.03637063,0.005408023,0.01336185,0.001160214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00009016763,0.00001216991,0.00069493,0.967129,0.006854796,0.00004310254,0.0002010438,0.00009483252,0.00006286557,0.0003444976,0.002065783,0.0224069],"study_design_scores_gemma":[0.0001959474,0.00007369834,0.002036925,0.9498808,0.03494368,0.0001157997,0.0002550718,0.0001195563,0.0001374367,0.0005549626,0.01163843,0.00004783324],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001280613,0.9880708,0.0016667,0.001509003,0.000323877,0.004561104,0.001777912,0.00008516987,0.000724808],"genre_scores_gemma":[0.02980566,0.9330229,0.01299968,0.002358572,0.0002511569,0.01939571,0.001708283,0.00004956654,0.0004084271],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.05641013,"threshold_uncertainty_score":0.2983289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4284319628944909,"score_gpt":0.6008191873530828,"score_spread":0.1723872244585919,"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."}}