{"id":"W2777904120","doi":"10.1183/1393003.congress-2017.pa4006","title":"PRESTINE: The Pan-Canadian REspiratory STandards INitiative for Electronic Health Records","year":2017,"lang":"en","type":"article","venue":"","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regent Park Community Health Centre; SickKids Foundation; Southlake Regional Health Center; Canadian Lung Association; University of Toronto; Western University; Windsor Clinical Research; St. Michael's Hospital; Sunnybrook Health Science Centre; Queen's University; Canadian Thoracic Society; University of Saskatchewan; Université de Montréal; Kingston General Hospital","funders":"","keywords":"Medicine; Benchmarking; Standardization; Delphi method; CLARITY; Asthma; Family medicine; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09935632,0.001735363,0.001606653,0.01482146,0.008226721,0.01036178,0.01104405,0.00386692,0.02670256],"category_scores_gemma":[0.1647476,0.001390468,0.002150819,0.01758584,0.003399891,0.005680289,0.008258895,0.006682423,0.009948716],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1141479,"about_ca_system_score_gemma":0.4256207,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9302489,"about_ca_topic_score_gemma":0.924424,"domain_scores_codex":[0.8754343,0.01850252,0.01272528,0.005007083,0.08164566,0.006685128],"domain_scores_gemma":[0.6112237,0.02158068,0.01152841,0.01436308,0.3179049,0.02339925],"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":[0.0001452893,0.0001276601,0.005694018,0.002542764,0.00008589227,0.0001266866,0.001377358,0.0004772774,0.001099463,0.03815993,0.7897834,0.1603805],"study_design_scores_gemma":[0.00005619313,0.0000462378,0.03622481,0.003190693,0.00005324106,0.00009765829,0.001009945,0.0007222972,0.0004904406,0.002594173,0.9554127,0.000101575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01092484,0.02848776,0.1116775,0.1705729,0.01220476,0.02332533,0.1563616,0.01020449,0.4762408],"genre_scores_gemma":[0.08353106,0.02428581,0.4778562,0.03748086,0.001423395,0.0162832,0.2217816,0.003173614,0.1341844],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.885852,"threshold_uncertainty_score":0.8282051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2153925981402106,"score_gpt":0.5181451296498281,"score_spread":0.3027525315096175,"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."}}