{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001939806,0.00008992347,0.0004235176,0.0002683489,0.0003759806,0.0002272197,0.0001153469,0.0001119815,0.000006025805],"category_scores_gemma":[0.001179122,0.0001374265,0.00006258887,0.0008305289,0.0001031915,0.00008962442,0.0001348741,0.0004232282,0.00004039525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000783081,"about_ca_system_score_gemma":0.000705558,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06263933,"about_ca_topic_score_gemma":0.1222996,"domain_scores_codex":[0.9979349,0.0002252408,0.0002882253,0.0004750555,0.0004590383,0.0006174771],"domain_scores_gemma":[0.9980849,0.001000958,0.0000639421,0.0002949894,0.0001741684,0.0003810666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001313611,0.00003856745,0.8971081,0.03025734,0.00005008946,0.001896924,0.005008517,0.0000379163,0.0003139223,0.00001952856,0.01571943,0.04941834],"study_design_scores_gemma":[0.01471032,0.003948338,0.8980058,0.01159385,0.00009520983,0.00119521,0.03235586,0.001888833,0.000191616,0.00007599887,0.03530857,0.0006303484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930344,0.001705562,0.00003083833,0.002130358,0.0001351486,0.002288169,0.00004845056,0.000284706,0.0003424099],"genre_scores_gemma":[0.9974952,0.00008572452,0.00008107343,0.0002344032,0.0001819356,0.0003249662,0.0004873976,0.00005012575,0.001059197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05966022,"threshold_uncertainty_score":0.9436026,"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."}}