{"id":"W4362633516","doi":"10.1016/j.healthpol.2023.104817","title":"Was priority setting included in the Canadian COVID-19 pandemic planning and preparedness? A comparative analysis of COVID-19 pandemic plans from eight provinces and three territories","year":2023,"lang":"en","type":"article","venue":"Health Policy","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; University of Toronto; McMaster University","funders":"","keywords":"Preparedness; Pandemic; Context (archaeology); Obligation; Coronavirus disease 2019 (COVID-19); Jurisdiction; Plan (archaeology); Inclusion (mineral); Political science; Government (linguistics); Strategic planning; Business; Public administration; Geography; Economic growth; Environmental planning; Medicine; Sociology; Law; Economics; Marketing","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":[0.00887193,0.0003963773,0.0006630515,0.002563264,0.007842781,0.005650821,0.00336992,0.001179802,0.003417688],"category_scores_gemma":[0.02109796,0.000705567,0.001060538,0.007106686,0.002951228,0.001371562,0.002888511,0.002044765,0.00009908769],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1858265,"about_ca_system_score_gemma":0.3344927,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932094,"about_ca_topic_score_gemma":0.9964527,"domain_scores_codex":[0.986972,0.002050964,0.0002506275,0.0003213266,0.003185682,0.007219353],"domain_scores_gemma":[0.9825354,0.003834481,0.001734809,0.0005660921,0.00608484,0.005244387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001851527,0.0005666059,0.75726,0.001133541,0.0007706126,0.0009031742,0.03564141,0.01257957,0.001414949,0.05890321,0.01287787,0.1160975],"study_design_scores_gemma":[0.0001232943,0.0002489883,0.9102088,0.0004820461,0.0002544377,0.00009692799,0.06330579,0.002318562,0.0003610724,0.001407113,0.02110836,0.00008448962],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9317417,0.001994292,0.0007769479,0.009414218,0.00005889711,0.0007777074,0.001535078,0.00003244896,0.05366877],"genre_scores_gemma":[0.9970896,0.0006430832,0.0004706309,0.0003885666,0.000005820645,0.00007082746,0.0002595236,0.000008466171,0.001063592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8141735,"threshold_uncertainty_score":0.9443259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1918284708820251,"score_gpt":0.5009926067341363,"score_spread":0.3091641358521112,"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."}}