{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001981364,0.0004912878,0.0008738817,0.0008592297,0.001271538,0.002646211,0.0007987326,0.002301659,0.00873198],"category_scores_gemma":[0.009948496,0.0004555447,0.001385108,0.0002610561,0.002171808,0.002088494,0.00323552,0.00198769,0.0004026815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299395,"about_ca_system_score_gemma":0.001060012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005224371,"about_ca_topic_score_gemma":0.002310056,"domain_scores_codex":[0.999268,0.0002692998,0.0000309554,0.0001226803,0.00008660289,0.000222403],"domain_scores_gemma":[0.9948658,0.00259297,0.001343258,0.0002188228,0.0002968359,0.0006822809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003386415,0.0003281893,0.04478984,0.000258522,0.0002136608,0.002990026,0.001495011,0.2189697,0.01034141,0.7047835,0.008920944,0.006570669],"study_design_scores_gemma":[0.00008593131,0.0002174364,0.01476111,0.00005752514,0.00004522604,0.0006037426,0.001239329,0.7814554,0.0008226776,0.1980489,0.002591507,0.00007120994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8735747,0.0003812594,0.09749714,0.006997907,0.0001733748,0.0001304901,0.0004438552,0.0001632433,0.02063808],"genre_scores_gemma":[0.994765,0.0000908104,0.00244046,0.0001599694,0.00004854879,0.00006149863,0.0000744989,0.00001733469,0.002341798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00873198,"threshold_uncertainty_score":0.0292114,"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."}}