{"id":"W4400093846","doi":"10.21203/rs.3.rs-4555351/v1","title":"The Impact of COVID-19 Restrictions on the Health and Well-being of Women Living in Informal Settlements in Uganda.","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; International Development Research Centre","keywords":"Coronavirus disease 2019 (COVID-19); Well-being; Human settlement; Informal settlements; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Environmental health; Socioeconomics; Business; Economic growth; Demographic economics; Medicine; Psychology; Economics; Virology; Disease","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":[0.002208623,0.0004629768,0.0004415975,0.0006458893,0.005141952,0.002344869,0.0006201114,0.0009993932,0.00244815],"category_scores_gemma":[0.005886926,0.0005153897,0.0002515271,0.0007813617,0.003176281,0.001777658,0.004928641,0.001475736,0.0002140649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001873863,"about_ca_system_score_gemma":0.002555586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01145264,"about_ca_topic_score_gemma":0.02610133,"domain_scores_codex":[0.9983431,0.0009688077,0.00006647062,0.0000785786,0.0001164448,0.0004265562],"domain_scores_gemma":[0.9978343,0.001017448,0.0004580093,0.00004958393,0.0001993702,0.0004414237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001035939,0.00007242664,0.09385385,0.0006088216,0.00002989417,0.003007635,0.8706313,0.00006448477,0.0006143718,0.000854658,0.00285413,0.02730473],"study_design_scores_gemma":[0.000005805307,0.0001765371,0.07341275,0.0004555832,0.00001465311,0.0005339828,0.9156059,0.00003518977,0.00009195312,0.0002696281,0.009378722,0.00001930209],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897946,0.002121866,0.00008649052,0.002908507,0.00007413174,0.00005819122,0.0001428522,0.000003750108,0.004809637],"genre_scores_gemma":[0.9969081,0.001457963,0.0001249812,0.0005187918,0.00002390725,0.0001095744,0.00004547311,0.000003445903,0.0008077461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01145264,"threshold_uncertainty_score":0.02277195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04627560960705535,"score_gpt":0.4487040236515342,"score_spread":0.4024284140444789,"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."}}