{"id":"W3129097117","doi":"10.1038/s41598-021-82873-2","title":"Modeling the effect of lockdown timing as a COVID-19 control measure in countries with differing social contacts","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Kuwait University; Kuwait Foundation for the Advancement of Sciences","keywords":"Coronavirus disease 2019 (COVID-19); Social distance; Computer science; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Statistics; Algorithm; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007073142,0.0002215949,0.0007650785,0.00007290152,0.0006418966,0.0001221632,0.0001537974,0.00009539906,0.00004976555],"category_scores_gemma":[0.02302974,0.0001245933,0.000147863,0.0004444608,0.0003963094,0.00008163376,0.0001450926,0.0002291719,0.000002140943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002432254,"about_ca_system_score_gemma":0.0004116526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002490007,"about_ca_topic_score_gemma":0.0008484124,"domain_scores_codex":[0.9969031,0.0004989991,0.0007747249,0.0006531974,0.0007585741,0.0004114317],"domain_scores_gemma":[0.995268,0.003441063,0.0004045481,0.0005395581,0.0002479972,0.00009886576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001938002,0.0004983956,0.8043762,0.005187342,0.001282318,0.01103108,0.02908423,0.103077,0.01977133,0.01287259,0.009067646,0.001813756],"study_design_scores_gemma":[0.01934454,0.001775242,0.0177966,0.003877192,0.002714824,0.003030833,0.01013817,0.1628962,0.0500258,0.7023903,0.02163222,0.004378],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827854,0.0004234913,0.01313196,0.002107775,0.0005166891,0.0006577641,0.000003538501,0.00007030441,0.0003030723],"genre_scores_gemma":[0.9992823,0.000003131569,0.0001227082,0.0003019816,0.0000453924,0.00007612421,0.000003356027,0.00001518235,0.0001498209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7865797,"threshold_uncertainty_score":0.9851997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.121409135276637,"score_gpt":0.3801214630170416,"score_spread":0.2587123277404046,"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."}}