{"id":"W4385874079","doi":"10.1056/cat.23.0120","title":"A Learning Health System for Long Covid Care and Research in British Columbia","year":2023,"lang":"en","type":"article","venue":"NEJM Catalyst","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Michael Smith Health Research BC; Ontario Stroke Network; University of British Columbia","funders":"","keywords":"General partnership; Health care; Medicine; Family medicine; Population; Coronavirus disease 2019 (COVID-19); Nursing; Medical education; Business; Political science; Disease","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":[0.004846559,0.0005880503,0.0004773658,0.001720185,0.008398447,0.004930868,0.003154086,0.00291223,0.04221322],"category_scores_gemma":[0.008444948,0.0006358066,0.0003674007,0.002449749,0.002723647,0.001410917,0.008274986,0.003142906,0.004231955],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07770482,"about_ca_system_score_gemma":0.3402322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9413592,"about_ca_topic_score_gemma":0.9694365,"domain_scores_codex":[0.9939824,0.000969087,0.0002512655,0.0005924298,0.001850855,0.002353916],"domain_scores_gemma":[0.9648663,0.001614415,0.0007968125,0.00105823,0.01133387,0.02033035],"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":[0.0002745567,0.0005497945,0.04084169,0.0006413219,0.00004350452,0.001733124,0.002458995,0.0008751777,0.001620491,0.02327681,0.6563108,0.2713737],"study_design_scores_gemma":[0.0002335819,0.0002282289,0.09609,0.001080939,0.00003025375,0.0004051382,0.004645631,0.002379781,0.0003558627,0.003518632,0.8908998,0.0001320689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1434555,0.01279416,0.009876699,0.2773241,0.005910515,0.005591058,0.01877051,0.003295867,0.5229816],"genre_scores_gemma":[0.3137934,0.005789076,0.02988006,0.07005072,0.0009426824,0.004550918,0.01024296,0.0004713684,0.5642788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9222952,"threshold_uncertainty_score":0.5637906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03552966165930635,"score_gpt":0.3750600984714909,"score_spread":0.3395304368121845,"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."}}