{"id":"W3112470484","doi":"10.20944/preprints202012.0321.v1","title":"<strong>Relationship of Trace Metal Covariates and pH Distribution in Groundwater within Gold mining and Non-Gold mining Areas in Ghana</strong>","year":2020,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Quantile; Quantile regression; Groundwater; Ordinary least squares; Covariate; Statistics; Linear regression; Regression; Partial least squares regression; Sampling (signal processing); Regression analysis; Environmental science; Econometrics; Mathematics; Geology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057418,0.0001432399,0.0003047899,0.0003115388,0.0002294448,0.0004511018,0.0002703471,0.0002940219,0.001550849],"category_scores_gemma":[0.002065365,0.0001220003,0.0002374066,0.0008659237,0.0005352356,0.0003700901,0.0003673751,0.0003221695,0.0002069167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000639607,"about_ca_system_score_gemma":0.0005095143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05320242,"about_ca_topic_score_gemma":0.07566526,"domain_scores_codex":[0.9995452,0.0001843642,0.00003795821,0.0001291433,0.00004082957,0.00006240264],"domain_scores_gemma":[0.9982873,0.0005872977,0.0006923732,0.0001040153,0.0001853379,0.0001437753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001534077,0.0000269759,0.9913962,0.0000282459,0.00007431801,0.0003271135,0.0005509058,0.0004245789,0.001433014,0.00009902356,0.0003039991,0.005182295],"study_design_scores_gemma":[0.00000352872,0.00005397304,0.9968118,0.00001115894,0.00002116594,0.0001355365,0.001120479,0.0009804127,0.0002199612,0.00009325972,0.0005436737,0.000005144005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989408,0.0001524335,0.0002178548,0.0001669516,0.000003835869,0.000003851389,0.0002221236,0.000007277382,0.0002850196],"genre_scores_gemma":[0.9994491,0.00005052749,0.0001566905,0.00001999773,0.000002908743,0.000002535353,0.0001501327,0.000002600026,0.0001656611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05320242,"threshold_uncertainty_score":0.1057855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09931909077241736,"score_gpt":0.316486787918773,"score_spread":0.2171676971463556,"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."}}