{"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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.007555099,0.0002726244,0.0007803673,0.00007323119,0.0005164909,0.00003198981,0.000410475,0.0005800121,0.0004656932],"category_scores_gemma":[0.001880908,0.0002031795,0.00008774699,0.000273707,0.0001726941,0.0001577623,0.0001783242,0.002952684,0.0001540104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003016974,"about_ca_system_score_gemma":0.00249712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001394423,"about_ca_topic_score_gemma":0.0001627706,"domain_scores_codex":[0.98878,0.004954024,0.003773091,0.0003545852,0.001333572,0.0008047698],"domain_scores_gemma":[0.9949245,0.002132206,0.0008141224,0.0005143594,0.0001848874,0.001429866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.1082032,0.003287012,0.2663302,0.01306663,0.0001748863,0.00004725778,0.2920918,0.000008748326,0.000001571695,0.0004259534,0.06403559,0.2523272],"study_design_scores_gemma":[0.2526582,0.09120961,0.04108497,0.002383596,0.0001006568,0.00001049688,0.3255431,0.1464078,0.00000703176,0.000118606,0.1392491,0.001226834],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9536474,0.00001567085,0.004752737,0.01809968,0.0006137365,0.02225963,0.00001754397,0.0002341292,0.0003594912],"genre_scores_gemma":[0.9737653,0.00001447747,0.001086193,0.02034063,0.001206299,0.003496382,0.00003169793,0.00003179008,0.00002722665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2511004,"threshold_uncertainty_score":0.9993476,"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."}}