{"id":"W4386031636","doi":"10.2166/washdev.2023.053","title":"COVID-19 pandemic, welfare programs, and access to ‘free water’ in Ghana: how did the urban poor fare?","year":2023,"lang":"en","type":"article","venue":"Journal of Water Sanitation and Hygiene for Development","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Queen's University","funders":"","keywords":"Pandemic; Government (linguistics); Public health; Business; Environmental health; Sanitation; Welfare; Economic growth; Human settlement; Population; Socioeconomics; Limiting; Qualitative research; Coronavirus disease 2019 (COVID-19); Development economics; Geography; Political science; Medicine; Economics; Sociology; Nursing; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0007960684,0.0001540672,0.0002255104,0.0004363301,0.0003571278,0.0004794538,0.000284244,0.00005705841,0.00001140581],"category_scores_gemma":[0.0001205483,0.00008345523,0.00004595028,0.0001873433,0.0000380945,0.0004067858,0.0001601359,0.0001252471,0.000003044664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001508388,"about_ca_system_score_gemma":0.00003223991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001926089,"about_ca_topic_score_gemma":0.0002675973,"domain_scores_codex":[0.9987311,0.00006510125,0.0004313046,0.000193111,0.0002535479,0.0003257845],"domain_scores_gemma":[0.9993432,0.00005433344,0.0000963953,0.00009595949,0.0001691402,0.0002409959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005612405,0.0007300189,0.4111483,0.002128672,0.0004021554,0.0001524234,0.3200998,0.0001814438,0.01094273,0.0003158402,0.07127183,0.1770143],"study_design_scores_gemma":[0.008699179,0.0006334892,0.1751322,0.0002707107,0.00007164889,0.0002085682,0.007519257,0.0001062378,0.04784137,0.002786828,0.756142,0.000588573],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8590184,0.000071827,0.000295328,0.1395921,0.0003830599,0.0005909626,0.000007015402,0.00003286447,0.000008439346],"genre_scores_gemma":[0.995872,0.0000243908,0.001080615,0.0026291,0.0001138718,0.00006840135,0.00007204959,0.00001997905,0.0001196186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6848701,"threshold_uncertainty_score":0.4623384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06065914086784741,"score_gpt":0.3181600977746681,"score_spread":0.2575009569068207,"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."}}