{"id":"W2293435459","doi":"10.5539/jsd.v9n2p54","title":"Evaluation and Management of the Physicochemical Variables of Asu River, Southeast, Nigeria","year":2016,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Directorate for Biological Sciences","keywords":"Tributary; Dry season; Environmental science; Hydrology (agriculture); Wet season; Nitrate; Geography; Ecology; Biology; Geology","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":[0.0005005033,0.000263148,0.0003491163,0.0004830649,0.0007702007,0.001079949,0.0002044373,0.0003689139,0.0002475702],"category_scores_gemma":[0.0005319458,0.0001518444,0.0001633893,0.0007466453,0.0002937767,0.0005358347,0.0003141853,0.0002660045,0.00006644332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005771742,"about_ca_system_score_gemma":0.001006261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008780046,"about_ca_topic_score_gemma":0.03382422,"domain_scores_codex":[0.9997247,0.00006477349,0.00003314344,0.00005811255,0.00008503814,0.00003418516],"domain_scores_gemma":[0.9996822,0.00005028577,0.00009843898,0.00001152522,0.0001268349,0.00003079947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005209881,0.0008858958,0.783892,0.0005444044,0.00006182854,0.001495811,0.003531905,0.003828374,0.1191554,0.0007137557,0.0006706053,0.08469899],"study_design_scores_gemma":[0.00001543175,0.00188668,0.9430869,0.0001547373,0.00008541108,0.0005786182,0.01257698,0.006195331,0.02894831,0.0004772212,0.005946519,0.00004787739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973226,0.0002709915,0.0007528138,0.00005718703,0.00001075772,0.00005536554,0.0001443496,0.000006526758,0.001379432],"genre_scores_gemma":[0.9954139,0.0005450171,0.002745101,0.0000198995,0.000002901357,0.0000560763,0.0001557511,0.000002277158,0.001059159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008780046,"threshold_uncertainty_score":0.01745784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580086039257933,"score_gpt":0.2536869391711496,"score_spread":0.2378860787785703,"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."}}