{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003243857,0.0002222074,0.0002348224,0.0004857356,0.001658415,0.001176867,0.0003322357,0.0006329064,0.001268963],"category_scores_gemma":[0.0009469611,0.0001918411,0.0001158075,0.00150006,0.00140094,0.000787595,0.0008872608,0.000339658,0.0001020027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001355147,"about_ca_system_score_gemma":0.001314754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05350492,"about_ca_topic_score_gemma":0.1196763,"domain_scores_codex":[0.9995046,0.000282949,0.00002108332,0.00003164685,0.00004662622,0.0001132],"domain_scores_gemma":[0.9995308,0.0001402587,0.0001996123,0.00001897245,0.00005501879,0.00005539507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002128001,0.000219082,0.7552797,0.0007222918,0.00007002462,0.07320459,0.1213741,0.0007466797,0.01265176,0.002069542,0.0007935687,0.03265581],"study_design_scores_gemma":[0.00001598065,0.0002465391,0.6789455,0.0002974266,0.00005453034,0.008774989,0.2987266,0.0005264665,0.001324374,0.0006108475,0.01045115,0.00002561943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976097,0.0002933396,0.0001092644,0.0002984846,0.000003107519,0.00001507896,0.00002169399,0.000001474196,0.001647855],"genre_scores_gemma":[0.9983721,0.0007589327,0.000248666,0.00006457966,0.000005125393,0.000009770436,0.00001602859,0.000001552374,0.0005231641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05350492,"threshold_uncertainty_score":0.106387,"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."}}