{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007955905,0.0002323462,0.0008622353,0.0002811904,0.0004668362,0.00005005232,0.0006012193,0.00005212112,0.00003580714],"category_scores_gemma":[0.0000869447,0.0002105671,0.0001561742,0.003281037,0.0001957144,0.0005030046,0.0004816076,0.0001989764,0.000004521327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123516,"about_ca_system_score_gemma":0.002558818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7620832,"about_ca_topic_score_gemma":0.9951825,"domain_scores_codex":[0.9967595,0.0006634965,0.0005272634,0.0008553142,0.0004581829,0.000736204],"domain_scores_gemma":[0.9979032,0.001118806,0.0003416789,0.0004168563,0.00003707523,0.0001823274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001510439,0.00003593393,0.99602,0.0001735174,0.00006704058,0.0002998491,0.000200631,0.0001635733,0.00000156778,0.001755744,0.001055679,0.0002113209],"study_design_scores_gemma":[0.0002797515,0.00004440495,0.9936062,0.00006009759,0.00003245913,0.000008662691,0.001292194,0.001178528,0.00002926654,0.0002211526,0.003011364,0.0002359214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933723,0.0003048166,0.0008199971,0.003716759,0.0001812188,0.0001640612,0.000149427,0.0001049087,0.001186577],"genre_scores_gemma":[0.9970912,0.0001247246,0.001391827,0.001157185,0.00003761612,0.000001095807,0.00002166407,0.000007370529,0.0001673553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2330993,"threshold_uncertainty_score":0.8586679,"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."}}