{"id":"W4303942641","doi":"10.1002/lrh2.10350","title":"Evaluating a learning health system initiative: Lessons learned during <scp>COVID</scp>‐19 in Saskatchewan, Canada","year":2022,"lang":"en","type":"article","venue":"Learning Health Systems","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Health; University of Saskatchewan; Royal University Hospital; Saskatchewan Health Authority","funders":"Saskatchewan Health Research Foundation","keywords":"Formative assessment; Misinformation; Thematic analysis; Coronavirus disease 2019 (COVID-19); Health care; Medical education; Psychology; Medicine; Knowledge management; Computer science; Qualitative research; Political science; Pedagogy; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.07184506,0.000923569,0.0008810394,0.001485106,0.01967581,0.01046436,0.005355046,0.002221351,0.004575314],"category_scores_gemma":[0.04658335,0.0007862021,0.000715811,0.003387559,0.01111578,0.00356543,0.01200575,0.00532977,0.0004010459],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2809972,"about_ca_system_score_gemma":0.5557722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9528439,"about_ca_topic_score_gemma":0.9842656,"domain_scores_codex":[0.9386956,0.0331376,0.002169454,0.002109836,0.01176284,0.01212478],"domain_scores_gemma":[0.9070225,0.03082381,0.002092627,0.001929595,0.03354087,0.02459067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009963331,0.003765395,0.06036016,0.00574984,0.0002641285,0.004793296,0.3860056,0.007296997,0.005539852,0.02662369,0.09513689,0.4034678],"study_design_scores_gemma":[0.0004298601,0.002398171,0.06484254,0.004892568,0.0001321195,0.0002569367,0.6558832,0.003663209,0.004312418,0.005227869,0.2576393,0.0003218491],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7324097,0.005990519,0.009414339,0.1507563,0.001113068,0.008964209,0.001970624,0.0003581418,0.08902318],"genre_scores_gemma":[0.9460935,0.00365716,0.02144291,0.01174732,0.00008545447,0.003061552,0.0008623151,0.000122936,0.01292671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7190028,"threshold_uncertainty_score":0.8339413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5824164950154856,"score_gpt":0.6300774079241697,"score_spread":0.04766091290868402,"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."}}