{"id":"W2232684336","doi":"10.2196/iproc.4685","title":"Designing a Secure Blue Button Health Information Exchange for a Commercial Laboratory","year":2015,"lang":"en","type":"article","venue":"Iproceedings","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Health information exchange; Internet privacy; Electronic health record; Business; Public health; Health data; Information exchange; Health information; Computer security; Telecommunications; Computer science; Health care; Medicine; Nursing","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005593008,0.0001176259,0.0002835053,0.0001503949,0.0001476597,0.00006428822,0.000145348,0.0002986699,0.00001631542],"category_scores_gemma":[0.01328242,0.0001079391,0.00005724696,0.0003406111,0.00009495326,0.0004273216,0.00008055731,0.0008934186,0.0000647438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002803623,"about_ca_system_score_gemma":0.001338789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007287913,"about_ca_topic_score_gemma":0.00003309035,"domain_scores_codex":[0.9982139,0.00001884735,0.0004166253,0.0001803108,0.0007735389,0.0003967166],"domain_scores_gemma":[0.9963799,0.0007470379,0.0001690447,0.0001319482,0.002074382,0.0004976914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003805205,0.0005146078,0.01731794,0.01174093,0.0001664972,0.00001114143,0.1370057,0.00000459336,0.002657232,0.0484552,0.7163526,0.06196832],"study_design_scores_gemma":[0.01449959,0.008194082,0.003815403,0.002232763,0.0001010808,0.00004083611,0.02207465,0.00170993,0.01256725,0.02432201,0.9097529,0.0006894992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7376819,0.002010171,0.04493749,0.1842641,0.001766847,0.007606804,0.0002538475,0.001011119,0.0204677],"genre_scores_gemma":[0.9376577,0.0002568789,0.03158056,0.02778938,0.001498442,0.0003260535,0.00009519587,0.00005907747,0.0007367813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1999757,"threshold_uncertainty_score":0.9950292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.435337053147969,"score_gpt":0.5376785010928287,"score_spread":0.1023414479448597,"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."}}