{"id":"W3027868654","doi":"10.1101/2020.05.22.20110502","title":"Conditions for a second wave of COVID-19 due to interactions between disease dynamics and social processes","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coronavirus disease 2019 (COVID-19); Social distance; Pandemic; Population; Closure (psychology); Disease; Dynamics (music); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus; Transmission (telecommunications); Distancing; Economics; Psychology; Medicine; Demography; Computer science; Sociology; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004082504,0.0003001722,0.0009774154,0.0001047221,0.0002752899,0.00003055187,0.0002383575,0.0001517708,0.0001215153],"category_scores_gemma":[0.03107169,0.0002696954,0.0002142167,0.0001576012,0.0001987786,0.00003868753,0.0009385942,0.0003659406,0.000003851392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002422502,"about_ca_system_score_gemma":0.0004357062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003234105,"about_ca_topic_score_gemma":0.0008196573,"domain_scores_codex":[0.9982119,0.0001408836,0.0006462911,0.000595391,0.0001600751,0.000245464],"domain_scores_gemma":[0.9899305,0.008783602,0.0004319528,0.0002504801,0.0002370974,0.0003663627],"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":[0.001139623,0.001514348,0.3125676,0.2010225,0.00510339,0.0001946627,0.04175149,0.0002899499,0.0003334657,0.2800565,0.1541621,0.001864332],"study_design_scores_gemma":[0.0003889275,0.00008352567,0.03820054,0.0001720987,0.0006369217,0.000001641399,0.0005024658,0.0009694354,0.00003949094,0.9492339,0.009333145,0.0004378869],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7155201,0.0001034217,0.1865214,0.07741891,0.0002104591,0.002590169,0.01724556,0.0002270229,0.0001629767],"genre_scores_gemma":[0.9923984,0.00001248621,0.003795067,0.001896183,0.0003044569,0.000973887,0.0004001475,0.0000365646,0.00018275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6691774,"threshold_uncertainty_score":0.9999755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3289700507152283,"score_gpt":0.4658178193448324,"score_spread":0.1368477686296041,"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."}}