{"id":"W4385891637","doi":"10.1007/s12517-023-11600-0","title":"Quantification of contamination, ecological risk index, and health risk assessment of groundwater using artificial neural network and multi-linear regression modeling approaches within Egbema, Nigeria","year":2023,"lang":"en","type":"article","venue":"Arabian Journal of Geosciences","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Contamination; Environmental science; Pollution; Multivariate statistics; Linear regression; Bayesian multivariate linear regression; Groundwater; Index (typography); Principal component analysis; Water quality; Environmental chemistry; Statistics; Ecology; Mathematics; Computer science; Chemistry; Biology; Geology","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":[0.000678506,0.0004677822,0.0003865518,0.0009127472,0.0003419057,0.001096257,0.0004398664,0.0005606312,0.0002459447],"category_scores_gemma":[0.001092911,0.0002366901,0.0004203043,0.000789907,0.0002583417,0.0007565763,0.0004747479,0.0003143331,0.00004455424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009676085,"about_ca_system_score_gemma":0.0007759982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02226723,"about_ca_topic_score_gemma":0.0255793,"domain_scores_codex":[0.9996959,0.0001073609,0.00002999851,0.0000624735,0.00006706457,0.000037148],"domain_scores_gemma":[0.9996194,0.0001789978,0.00007004336,0.00001337331,0.000104811,0.00001324883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003428273,0.0004157966,0.2122581,0.0002077714,0.0002473767,0.0006598539,0.0006068021,0.7005792,0.006432306,0.004149484,0.0004457706,0.0736547],"study_design_scores_gemma":[0.000004811603,0.0000796848,0.02001465,0.00002704546,0.00005753385,0.00004643016,0.0004793127,0.9763384,0.001638749,0.001060908,0.0002363258,0.00001609933],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709844,0.0003252149,0.02674088,0.0001634335,0.00001340268,0.00002607672,0.00009484064,0.00003017323,0.001621599],"genre_scores_gemma":[0.9958498,0.0001634274,0.003490897,0.000003840659,0.000003037304,0.00001051489,0.00004924996,0.00000152053,0.0004276545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02226723,"threshold_uncertainty_score":0.04427522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1450227730988545,"score_gpt":0.3348296367792696,"score_spread":0.1898068636804151,"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."}}