{"id":"W4207073406","doi":"10.3389/fpubh.2021.808751","title":"Uncoupling Molecular Testing for SARS-CoV-2 From International Supply Chains","year":2022,"lang":"en","type":"review","venue":"Frontiers in Public Health","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Ministry of Health, New Zealand; University of Auckland; University of Otago","keywords":"Coronavirus disease 2019 (COVID-19); Surprise; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Business; Work (physics); Supply chain; Reagent; 2019-20 coronavirus outbreak; Process (computing); Computer science; Operations research; Virology; Environmental planning; Medicine; Marketing; Environmental science; Disease; Engineering; Pathology; Infectious disease (medical specialty); Chemistry","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":[0.002436202,0.0007396657,0.001128462,0.002361853,0.0002025237,0.001407906,0.0008597882,0.001336432,0.004119103],"category_scores_gemma":[0.002976397,0.0003519165,0.001112892,0.001573787,0.0007363327,0.001770361,0.0007865169,0.001680185,0.00144416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00129466,"about_ca_system_score_gemma":0.002970184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00462063,"about_ca_topic_score_gemma":0.007617626,"domain_scores_codex":[0.9990582,0.0002646179,0.0001147534,0.0001313075,0.0003536625,0.0000773315],"domain_scores_gemma":[0.9983661,0.0008913159,0.0002481062,0.00004836833,0.0003877107,0.00005836549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005973707,0.00004478305,0.000275825,0.02854157,0.0001251821,0.0001485534,0.00009467191,0.0005118901,0.002258289,0.006227629,0.01462224,0.9470896],"study_design_scores_gemma":[0.00002228229,0.0002363899,0.001375335,0.01158444,0.0002133016,0.0007833801,0.0001187145,0.0001944505,0.001705435,0.002507929,0.9812319,0.00002640264],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003148606,0.9947201,0.0006301968,0.001180205,0.0002471671,0.00002210645,0.00005519759,0.00001308743,0.002817136],"genre_scores_gemma":[0.002950115,0.9946923,0.0007710638,0.0004988792,0.0001040355,0.00001845313,0.0000697971,0.000003854802,0.0008913935],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00462063,"threshold_uncertainty_score":0.01377976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2042958166370441,"score_gpt":0.4037342895618098,"score_spread":0.1994384729247657,"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."}}