{"id":"W2135165839","doi":"10.5539/jsd.v4n6p103","title":"Anthropogenic Pollution of Inland Waters: the Case of the Aboabo River in Kumasi, Ghana","year":2011,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kwame Nkrumah University of Science and Technology","keywords":"Sanitation; Sewage; Pollution; Enforcement; Population; Dumping; Water resource management; Environmental planning; Water quality; Environmental protection; Drainage basin; Environmental science; River pollution; Geography; Business; Environmental engineering; Environmental health; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006935676,0.0001024672,0.0002174322,0.0002396693,0.0001397864,0.00001498815,0.0002617924,0.00005162762,0.00002392237],"category_scores_gemma":[0.00005077335,0.00005547372,0.00009212291,0.0003604249,0.0001661932,0.0002320407,0.00008822922,0.0001849907,7.115129e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002560296,"about_ca_system_score_gemma":0.0001362459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004659193,"about_ca_topic_score_gemma":0.00001962263,"domain_scores_codex":[0.9986932,0.0001282856,0.0006562628,0.00008092418,0.0002076598,0.0002336448],"domain_scores_gemma":[0.9989765,0.00002749977,0.0004535757,0.0001457481,0.0003546273,0.00004209397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005498366,0.003065469,0.5915024,0.001791003,0.000584826,0.006482997,0.3647893,0.0002897471,0.001917636,0.002596765,0.006884225,0.0145972],"study_design_scores_gemma":[0.003264399,0.0002254725,0.7318985,0.0003472467,0.00007627453,0.001242903,0.05181192,0.00001120107,0.2027285,0.004410527,0.003786725,0.0001962759],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975799,0.0002689881,0.0000450006,0.00139783,0.0002816507,0.0002399143,0.00000155505,0.000002524584,0.0001826662],"genre_scores_gemma":[0.999293,0.00002176294,0.0003893674,0.0001335284,0.000037153,0.000002158248,4.581691e-7,0.000009007132,0.0001135599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3129774,"threshold_uncertainty_score":0.2262153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701321665325987,"score_gpt":0.2461532233109804,"score_spread":0.2291400066577205,"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."}}