{"id":"W2582989199","doi":"10.12927/hcq.2016.24902","title":"How Appropriate Is All This Data Sharing? Building Consensus Around What We Need to Know About Shared Electronic Health Records in Extended Circles of Care","year":2017,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Wilfrid Laurier University","funders":"","keywords":"Interoperability; Health care; Health records; Best practice; Electronic health record; Stakeholder; Data sharing; Public relations; Need to know; Business; Knowledge management; Nursing; Medicine; Computer science; Political science; World Wide Web; Alternative medicine; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3751814,0.0008631065,0.001973481,0.004778702,0.01661659,0.01497412,0.00720082,0.007237689,0.003954076],"category_scores_gemma":[0.3836371,0.001376639,0.001614486,0.003543887,0.03507474,0.03146699,0.02888824,0.007687229,0.001079826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01429481,"about_ca_system_score_gemma":0.03376822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00449223,"about_ca_topic_score_gemma":0.004799964,"domain_scores_codex":[0.3947358,0.5447947,0.01252645,0.01353748,0.02709484,0.007310668],"domain_scores_gemma":[0.4605459,0.3978646,0.02934413,0.05609036,0.0415619,0.01459314],"domain_codex":"methods","domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001606661,0.000229767,0.01149575,0.001716758,0.0001697215,0.000659471,0.8466938,0.0008010492,0.002075478,0.03117252,0.004256118,0.100569],"study_design_scores_gemma":[0.0001117404,0.0003744043,0.006324708,0.002541453,0.0001088208,0.0004235856,0.7826566,0.002683217,0.001453377,0.1500209,0.05311283,0.0001883812],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3962886,0.002237702,0.3281027,0.2206674,0.0009818431,0.005617099,0.0003122571,0.0003529638,0.04543941],"genre_scores_gemma":[0.8345644,0.0007717545,0.1541454,0.006303894,0.0001649973,0.002615422,0.0001359501,0.00009607314,0.001202212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6248186,"threshold_uncertainty_score":0.7705125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1461401055760848,"score_gpt":0.4650053065333403,"score_spread":0.3188652009572555,"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."}}