{"id":"W3146136806","doi":"10.5055/ajdm.2020.0365","title":"Vancouver Convention Health Centre (COVID-19 Response): Planning, implementation, and four lessons learned","year":2020,"lang":"en","type":"article","venue":"American Journal of Disaster Medicine","topic":"Disaster Response and Management","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; Kelowna General Hospital; Spinal Cord Injury BC; Vancouver Coastal Health","funders":"","keywords":"Staffing; Convention; Surge Capacity; Coronavirus disease 2019 (COVID-19); Flexibility (engineering); Medical emergency; Plan (archaeology); Health care; Space (punctuation); Recreation; Pandemic; Protocol (science); Set (abstract data type); Business; Medicine; Operations research; Environmental planning; Computer science; Nursing; Political science; Geography; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001948251,0.0001807335,0.0005880867,0.0002004949,0.0002939823,0.000009229268,0.0001798581,0.00002812663,0.001022637],"category_scores_gemma":[0.0005887719,0.000136053,0.00006609216,0.0003084353,0.0002395112,0.0001661203,0.0001052184,0.0003856668,0.00002041277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001749189,"about_ca_system_score_gemma":0.0006619606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002961777,"about_ca_topic_score_gemma":0.0002191747,"domain_scores_codex":[0.9960901,0.001791537,0.00101337,0.0002384249,0.0004516071,0.0004150199],"domain_scores_gemma":[0.9967823,0.0005391259,0.001423922,0.0001639487,0.0001242419,0.0009664742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00688025,0.00005693824,0.0268321,0.0003423326,0.0002337743,0.0001387148,0.3114567,0.00001864753,0.0002569,0.0004893689,0.5963011,0.05699312],"study_design_scores_gemma":[0.003945748,0.002093837,0.006484862,0.0002930541,0.00007246576,0.00001083824,0.4829133,0.00001295512,0.000001542659,0.0001737482,0.5038944,0.0001032337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5216891,0.0004258044,0.01821461,0.4573133,0.0006723223,0.0006028338,0.00002256617,0.00004083855,0.001018636],"genre_scores_gemma":[0.9102232,0.0001926695,0.0003586098,0.08680636,0.000536984,0.000009001526,0.0000108379,0.00003172288,0.001830562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3885342,"threshold_uncertainty_score":0.9998906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2010730786597695,"score_gpt":0.5163354667411395,"score_spread":0.31526238808137,"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."}}