{"id":"W3027255681","doi":"10.1101/2020.05.23.20111526","title":"Hasty Reduction of COVID-19 Lockdown Measures Leads to the Second Wave of Infection","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Outbreak; Development economics; Geography; Demographic economics; Demography; Economics; Virology; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001213583,0.0004143372,0.0004564584,0.0005125978,0.0002703044,0.001170106,0.0005678191,0.0005645803,0.004017495],"category_scores_gemma":[0.005883141,0.0001529314,0.0007290433,0.0002201347,0.0006030659,0.0007225426,0.000615239,0.0009178,0.0002205918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008113489,"about_ca_system_score_gemma":0.0006328292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005925609,"about_ca_topic_score_gemma":0.002559581,"domain_scores_codex":[0.999436,0.0002056739,0.00001903146,0.00009789653,0.00007716724,0.0001642233],"domain_scores_gemma":[0.9967533,0.002022524,0.0005930193,0.0002169842,0.0002388591,0.0001752813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0007006651,0.0003742992,0.06646144,0.0002451901,0.0001778937,0.0008423568,0.0002089799,0.8423958,0.009362661,0.0470782,0.004785598,0.0273669],"study_design_scores_gemma":[0.00004696367,0.0005311132,0.02460699,0.000035335,0.00005661658,0.0002194797,0.0003215525,0.9544603,0.003395505,0.01482645,0.001466106,0.00003374559],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966855,0.0004415893,0.02396517,0.0008436536,0.00008327483,0.00004421634,0.0004351048,0.00011146,0.00722043],"genre_scores_gemma":[0.9968873,0.00009798503,0.001178301,0.00003658854,0.00001287361,0.00001249085,0.0001068847,0.000006583158,0.001661061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005925609,"threshold_uncertainty_score":0.01343989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3588830790453995,"score_gpt":0.4188821283642246,"score_spread":0.0599990493188251,"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."}}