{"id":"W6887994273","doi":"10.18131/65m4x-6v664","title":"SARS-CoV-2 Surveillance System in Canada: Longitudinal Trend Analysis","year":2021,"lang":"en","type":"article","venue":"Galter Health Sciences Library, Northwestern University","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Trend analysis; Government (linguistics); Outbreak; Public health; Population; Metric (unit); Longitudinal study","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":[0.002574258,0.0004211604,0.0004195875,0.004563394,0.001589556,0.00122398,0.00134376,0.0003437331,0.001938286],"category_scores_gemma":[0.007935711,0.0003374149,0.0006738854,0.01011462,0.0004157767,0.0004973891,0.0007571256,0.0006391296,0.0004018278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03601792,"about_ca_system_score_gemma":0.07205087,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959441,"about_ca_topic_score_gemma":0.9961894,"domain_scores_codex":[0.9980845,0.0001734861,0.0001889387,0.0003429942,0.0008133439,0.0003967072],"domain_scores_gemma":[0.9884753,0.0005208185,0.001111362,0.0003691019,0.008845644,0.0006777774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009904818,0.00004200016,0.9756451,0.00007706057,0.0001120956,0.00004869938,0.0002790368,0.001590035,0.0001788356,0.0004137936,0.007876408,0.01363802],"study_design_scores_gemma":[0.00001557815,0.00004073565,0.9845763,0.00007056219,0.00008074617,0.00005509578,0.0006982926,0.008049932,0.0002512686,0.0001050993,0.006026677,0.00002979732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8197058,0.001106655,0.003811942,0.001555351,0.00005362611,0.0003833855,0.1666548,0.0002568767,0.006471599],"genre_scores_gemma":[0.9176066,0.0008193158,0.006419067,0.0003139688,0.0000236419,0.0002496636,0.07124224,0.00004610724,0.003279396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03601792,"threshold_uncertainty_score":0.2613295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1744115047229141,"score_gpt":0.3546951764520396,"score_spread":0.1802836717291255,"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."}}