{"id":"W3111868183","doi":"10.2196/20470","title":"Prototypical Clinical Trial Registry Based on Fast Healthcare Interoperability Resources (FHIR): Design and Implementation Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung; Friedrich-Alexander-Universität Erlangen-Nürnberg","keywords":"Interoperability; Computer science; Clinical trial; Health care; Database; Medicine; World Wide Web","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":[0.04040244,0.0005159894,0.0004052345,0.001326508,0.000786407,0.001890599,0.001462607,0.001071437,0.005102413],"category_scores_gemma":[0.0294067,0.000581798,0.0007564217,0.00108198,0.001133185,0.001786642,0.002554961,0.0009043507,0.0008446928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001723726,"about_ca_system_score_gemma":0.006842857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001834089,"about_ca_topic_score_gemma":0.001845273,"domain_scores_codex":[0.9739179,0.02041522,0.001501919,0.001668063,0.001481851,0.001015091],"domain_scores_gemma":[0.9619182,0.02107428,0.002472633,0.006724438,0.005303767,0.002506576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02559987,0.0305356,0.1823199,0.005365817,0.0008518606,0.002015112,0.01274043,0.02359492,0.05753683,0.04280951,0.01514347,0.6014867],"study_design_scores_gemma":[0.02753325,0.1011966,0.2695338,0.002418856,0.003532014,0.004889742,0.02231649,0.2085989,0.1620703,0.02253923,0.174251,0.001119841],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6149902,0.0003264309,0.3279922,0.0009116732,0.0001758671,0.04021827,0.002094321,0.00576968,0.007521351],"genre_scores_gemma":[0.516214,0.000154472,0.4555422,0.0004632915,0.0000343868,0.0242065,0.001505184,0.0003381363,0.001541789],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04040244,"threshold_uncertainty_score":0.2136711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.20565758686519,"score_gpt":0.5497460108954059,"score_spread":0.3440884240302159,"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."}}