{"id":"W3108430663","doi":"10.1093/jalm/jfaa231","title":"COVID-19 Pandemic Planning: Simulation Models to Predict Biochemistry Test Capacity for Patient Surges","year":2020,"lang":"en","type":"article","venue":"The Journal of Applied Laboratory Medicine","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Roche (Canada); Saskatchewan Health; Saskatchewan Health Authority","funders":"","keywords":"Workload; Turnaround time; Pandemic; Coronavirus disease 2019 (COVID-19); Test (biology); Vendor; Throughput; Medical emergency; Medicine; Instrumentation (computer programming); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Computer science; Emergency medicine; Operations management; Simulation; Engineering; Business; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001509044,0.001110774,0.0008227269,0.0008394087,0.0006392679,0.001167114,0.001171112,0.001567069,0.004174304],"category_scores_gemma":[0.005215606,0.0007168668,0.001008788,0.0006408286,0.0004257462,0.0007892118,0.000773169,0.001197879,0.0002928006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002474942,"about_ca_system_score_gemma":0.003010369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07240435,"about_ca_topic_score_gemma":0.04053099,"domain_scores_codex":[0.9995366,0.0002276127,0.00001899646,0.00006943079,0.00004155584,0.0001057964],"domain_scores_gemma":[0.9959006,0.003021254,0.0002795513,0.00008615594,0.0004221006,0.0002904019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005282897,0.00003033183,0.002136983,0.000009786329,0.00001238102,0.0000201815,0.00001572594,0.9963246,0.00004679558,0.0003535237,0.0002486673,0.0007481443],"study_design_scores_gemma":[0.00001589234,0.00002544528,0.0003266393,0.000005732992,0.000007004595,0.00000437027,0.00002523448,0.9990145,0.00004780759,0.0003782747,0.0001441719,0.000004887189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8812262,0.0006092716,0.09181409,0.002180285,0.0001976264,0.0004228604,0.003461211,0.0008498786,0.01923862],"genre_scores_gemma":[0.981662,0.0002008347,0.01497186,0.0001132216,0.00002144877,0.0002286257,0.001073276,0.00003997342,0.001688763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07240435,"threshold_uncertainty_score":0.1439658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1278583056547848,"score_gpt":0.335207048654298,"score_spread":0.2073487429995132,"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."}}