{"id":"W3043050541","doi":"10.1101/2020.07.18.20156992","title":"SARS-CoV-2 Transmission in Alberta, British Columbia, and Ontario, Canada, January 1-July 6, 2020","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Centers for Disease Control and Prevention; U.S. Department of Agriculture; National Institutes of Health; National Science Foundation","keywords":"Demography; Geography; Coronavirus disease 2019 (COVID-19); Transmission (telecommunications); Incidence (geometry); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005911241,0.0005613094,0.0003340463,0.001657711,0.001688238,0.001222213,0.0008745635,0.000301988,0.002785315],"category_scores_gemma":[0.0009878272,0.0002801869,0.0004917976,0.002503864,0.0004656363,0.0003073039,0.0005547968,0.0006110494,0.0003161097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0296713,"about_ca_system_score_gemma":0.0487189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970944,"about_ca_topic_score_gemma":0.9987231,"domain_scores_codex":[0.9993699,0.000031274,0.00002352208,0.00007451765,0.0002475892,0.000253298],"domain_scores_gemma":[0.9986122,0.00003014237,0.0001889348,0.00002149182,0.000833242,0.0003140718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002501718,0.0000426829,0.9548677,0.000225942,0.0001743886,0.0002922817,0.000561618,0.001027088,0.0005409842,0.0005144182,0.02149685,0.0200059],"study_design_scores_gemma":[0.00001629609,0.00002806971,0.9894269,0.0001433348,0.00005462908,0.0001041847,0.0009924182,0.000732619,0.00008926075,0.00005348838,0.008340887,0.00001801694],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8857569,0.008975599,0.001271282,0.002247259,0.0001978717,0.0002636547,0.07831816,0.0002571387,0.02271218],"genre_scores_gemma":[0.9671553,0.002886289,0.001339785,0.0006071648,0.00003912373,0.00007752833,0.01884697,0.00002969209,0.009018122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0296713,"threshold_uncertainty_score":0.2152813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1048575851330027,"score_gpt":0.331965294686862,"score_spread":0.2271077095538593,"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."}}