{"id":"W4287398835","doi":"","title":"The benefits of lessons learned: The COVID-19 experience in the Canadian province of Alberta.","year":2021,"lang":"en","type":"article","venue":"PubMed","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services","funders":"","keywords":"Mantra; Agile software development; Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Health care; Order (exchange); Coronavirus Infections; Public relations; Political science; Business; Medical emergency; Computer security; Medicine; Engineering; Computer science; Virology; Law","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":[0.003347433,0.0005425225,0.0003246283,0.0007688242,0.03351131,0.005476736,0.002903561,0.002388062,0.005886279],"category_scores_gemma":[0.00579667,0.0004861908,0.0003111932,0.00191135,0.00927812,0.00154454,0.007072275,0.004955702,0.0005466486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08172052,"about_ca_system_score_gemma":0.2049587,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.990423,"about_ca_topic_score_gemma":0.9980367,"domain_scores_codex":[0.9956307,0.0008225624,0.00006607278,0.0001654242,0.001244313,0.002070801],"domain_scores_gemma":[0.9930409,0.0005246075,0.000181576,0.00009630279,0.001445198,0.004711346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002627329,0.0004337899,0.03701191,0.0004610059,0.00004200678,0.009162036,0.6742648,0.001097714,0.00103228,0.007835426,0.1469685,0.1214278],"study_design_scores_gemma":[0.0000185618,0.0001112969,0.02841704,0.000205959,0.00001592933,0.0005129626,0.7760574,0.0001619687,0.0001951968,0.0005521019,0.1936799,0.00007163481],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7162859,0.007901918,0.001355795,0.1080816,0.002455079,0.0003716309,0.0008842764,0.0002245011,0.1624393],"genre_scores_gemma":[0.9197475,0.003522473,0.001171694,0.007226216,0.0001081454,0.00005305402,0.0003521843,0.00008868233,0.06773001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08172052,"threshold_uncertainty_score":0.5929267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2061266726730713,"score_gpt":0.4158453410883141,"score_spread":0.2097186684152428,"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."}}