{"id":"W7096505765","doi":"","title":"Laboratory surge capacity and pandemic influenza." Emerg Infect Dis 16(1","year":2010,"lang":"en","type":"article","venue":"","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Outbreak; Metropolitan area; Public health; Coronavirus disease 2019 (COVID-19); Personal protective equipment; Work (physics); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003745059,0.0003863362,0.000235409,0.000608578,0.001611917,0.00469269,0.00150367,0.004234711,0.03217164],"category_scores_gemma":[0.01191851,0.0002690825,0.0003981711,0.0006114775,0.002105519,0.00667468,0.002408723,0.002787717,0.004285898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002029444,"about_ca_system_score_gemma":0.002021774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004057165,"about_ca_topic_score_gemma":0.011,"domain_scores_codex":[0.9976408,0.0009955587,0.0001725293,0.0002019499,0.0006425009,0.0003466034],"domain_scores_gemma":[0.9934362,0.002751311,0.001055372,0.0002934672,0.001185315,0.001278267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005223334,0.00003937402,0.00918668,0.0002326909,0.0000171224,0.0006026538,0.0007487867,0.000159143,0.000181357,0.009430666,0.8390138,0.1403354],"study_design_scores_gemma":[0.00002725088,0.000132414,0.01416835,0.0007072138,0.00002414085,0.002280302,0.004718373,0.0006672756,0.0002255831,0.01429074,0.9627064,0.00005189509],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007044899,0.03216871,0.001803089,0.8754548,0.0295927,0.00002224791,0.0003140234,0.0001736042,0.05342592],"genre_scores_gemma":[0.3445706,0.08230694,0.004506712,0.3847122,0.1287585,0.0001082103,0.0009294159,0.0003979519,0.05370943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03217164,"threshold_uncertainty_score":0.1076248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05629737043049938,"score_gpt":0.3189298255542212,"score_spread":0.2626324551237219,"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."}}