{"id":"W3173297735","doi":"10.1002/lrh2.10280","title":"Developing a rapid evidence response to<scp>COVID</scp>‐19: The collaborative approach of Saskatchewan, Canada","year":2021,"lang":"en","type":"article","venue":"Learning Health Systems","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Saskatchewan; Saskatchewan Health Quality Council; Saskatchewan Ministry of Agriculture; University of Saskatchewan; Saskatchewan Health Authority","funders":"Saskatchewan Health Research Foundation","keywords":"General partnership; Public relations; Coronavirus disease 2019 (COVID-19); Political science; Business; Public health; Health care; Pandemic; Profiling (computer programming); Medicine; Nursing; Computer science; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.02561448,0.0002627935,0.0007479403,0.000184385,0.003072101,0.00004697647,0.0005715305,0.0001467604,0.00003820039],"category_scores_gemma":[0.04506352,0.0002136986,0.00004185737,0.00332099,0.00009876841,0.0001770971,0.0002660778,0.001140558,0.00006279296],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003562591,"about_ca_system_score_gemma":0.1350134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5010456,"about_ca_topic_score_gemma":0.408424,"domain_scores_codex":[0.9654157,0.02884929,0.002174246,0.0006823112,0.001365,0.001513501],"domain_scores_gemma":[0.9651716,0.02987459,0.001685223,0.0007171029,0.001503207,0.00104829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000148957,0.00002678151,0.04691545,0.009369649,0.0000614775,0.00003139886,0.767248,0.007673847,0.0007848967,0.001276404,0.1648155,0.001647676],"study_design_scores_gemma":[0.000365237,0.0001182255,0.01816062,0.001025734,0.000004363612,0.0000119961,0.4579974,0.0004035913,0.00002148163,0.000003783741,0.5218064,0.00008120131],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8012031,0.005033849,0.05071788,0.126614,0.003902317,0.01009519,0.0002590323,0.0003122614,0.001862398],"genre_scores_gemma":[0.919882,0.0001099352,0.005397562,0.06360279,0.0003394464,0.001046785,0.000014451,0.0000502521,0.009556795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3569909,"threshold_uncertainty_score":0.9982257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4505540336572177,"score_gpt":0.5819545856409661,"score_spread":0.1314005519837484,"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."}}