{"id":"W3154169375","doi":"10.1186/s12889-021-11684-x","title":"Quantifying the relationship between lockdowns, mobility, and effective reproduction number (Rt) during the COVID-19 pandemic in the Greater Toronto Area","year":2021,"lang":"en","type":"article","venue":"BMC Public Health","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Grand River Hospital","funders":"","keywords":"Public health; Demography; Coronavirus disease 2019 (COVID-19); Pandemic; Biostatistics; Medicine; Recreation; Epidemiology; Demographic economics; Biology; Economics; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01811942,0.0002067448,0.0004339673,0.0000241619,0.0011969,0.0001115956,0.0002880316,0.0001182091,0.00005138872],"category_scores_gemma":[0.07099038,0.00009657167,0.0000953742,0.0004138055,0.0002136544,0.000190245,0.0003117325,0.0005452231,0.00000762423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155531,"about_ca_system_score_gemma":0.0004084733,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005381231,"about_ca_topic_score_gemma":0.02736548,"domain_scores_codex":[0.9924694,0.005318591,0.000689053,0.0006705382,0.0003228867,0.0005294835],"domain_scores_gemma":[0.9653309,0.03311138,0.0002910242,0.001030351,0.00008747674,0.0001488546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001105318,0.00004455883,0.9845911,0.0003987598,0.0000217242,0.000001406161,0.006476925,0.000008525933,9.940528e-7,0.006781453,0.001276733,0.0003867126],"study_design_scores_gemma":[0.0003247129,0.0000238873,0.9637063,0.00002776639,0.00001563934,0.00005355778,0.003748346,0.00002393176,7.494136e-7,0.02768233,0.004285411,0.0001073483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9269862,0.001039393,0.002537821,0.06761546,0.00007895091,0.001429819,0.00001233168,0.0001091868,0.0001908401],"genre_scores_gemma":[0.9958693,0.0001485658,0.0002626011,0.002990608,0.0002368367,0.000370388,0.000008152461,0.00001473874,0.00009876403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06888316,"threshold_uncertainty_score":0.9903826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5492626833845948,"score_gpt":0.4924413204674601,"score_spread":0.05682136291713469,"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."}}