{"id":"W4389292361","doi":"10.1186/s44263-023-00028-z","title":"The unintended consequences of inconsistent closure policies and mobility restrictions during epidemics","year":2023,"lang":"en","type":"article","venue":"BMC Global and Public Health","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Division of Graduate Education; National Institute of General Medical Sciences; National Institutes of Health","keywords":"Unintended consequences; Closure (psychology); Business; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"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"],"consensus_categories":[],"category_scores_codex":[0.002826273,0.0001159482,0.0003753599,0.00003373369,0.000701985,0.00002896392,0.0001062358,0.00006594207,0.000001780362],"category_scores_gemma":[0.01531808,0.00006844888,0.00005859133,0.0005139362,0.001201039,0.000044703,0.0002591456,0.0001160212,0.00000109144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001487629,"about_ca_system_score_gemma":0.0003379328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005218612,"about_ca_topic_score_gemma":0.003594908,"domain_scores_codex":[0.9980846,0.0005452416,0.0005737056,0.0002237202,0.0001458645,0.0004268725],"domain_scores_gemma":[0.9961412,0.003097386,0.0002406143,0.0002145596,0.0001088472,0.000197377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009824638,0.00003418285,0.5409633,0.0003360756,0.000030741,5.371708e-7,0.0001874642,0.00000345071,0.000003952516,0.4544987,0.003159287,0.0007724319],"study_design_scores_gemma":[0.0001448201,0.00006019348,0.6967729,0.00002460705,0.000006114937,0.00001118289,0.002743997,0.000084543,0.000001262036,0.2963751,0.00371597,0.00005931361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9070718,0.001343927,0.0001135031,0.09045218,0.00007538284,0.0003010494,0.0000987626,0.0001247368,0.0004186385],"genre_scores_gemma":[0.9953085,0.003579713,0.0005391475,0.0004613175,0.00003080766,0.00002563475,0.00000206879,0.000003156426,0.000049695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1581237,"threshold_uncertainty_score":0.9929763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3719346206188905,"score_gpt":0.4547281133368892,"score_spread":0.08279349271799874,"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."}}