{"id":"W4245672915","doi":"10.2196/26026","title":"Deriving Key Architectural Features of FHIR-BlockChain Integration through the Qualitative Content Analysis (Preprint)","year":2020,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Literature Analysis and Criticism","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Blockchain; Preprint; Key (lock); Computer science; Database; World Wide Web; Operating system; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.001452715,0.0001664277,0.0005324787,0.0002662203,0.0002210174,0.00008945842,0.0002580339,0.00007844403,0.000157624],"category_scores_gemma":[0.0008883058,0.0000899042,0.0004374303,0.002042003,0.0003824949,0.0001640639,0.000169095,0.0009693418,0.00002022317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007662234,"about_ca_system_score_gemma":0.00007200719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003031766,"about_ca_topic_score_gemma":0.00008102595,"domain_scores_codex":[0.9966565,0.001110419,0.0005230964,0.0002858268,0.001067776,0.00035641],"domain_scores_gemma":[0.9974385,0.0008835094,0.0001425721,0.0003639665,0.00103524,0.0001361524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006435086,0.0001616962,0.0004608608,0.0001932325,0.001918213,0.00001027864,0.958877,0.00009448164,0.01239817,0.01790581,0.002336269,0.005000509],"study_design_scores_gemma":[0.002274651,0.003035041,0.08964569,0.000539504,0.001026433,0.0000314797,0.7930983,0.01718231,0.08516042,0.005737499,0.001828016,0.0004407121],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9506528,0.000647019,0.01230363,0.02845344,0.00002313245,0.0009180532,0.00004178911,0.00003464596,0.006925473],"genre_scores_gemma":[0.9981419,0.00001680231,0.0005344593,0.0006922312,0.00009546662,0.0001125133,0.00006562868,0.0000110131,0.000329963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1657787,"threshold_uncertainty_score":0.4211362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1379022922613924,"score_gpt":0.4601895944039257,"score_spread":0.3222873021425333,"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."}}