{"id":"W2094485620","doi":"10.1007/s11270-006-2817-5","title":"Principal Component Analyses of Groundwater Chemistry Data During Enhanced Bioremediation","year":2005,"lang":"en","type":"article","venue":"Water Air & Soil Pollution","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Imperial Oil (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bioremediation; Environmental remediation; Groundwater; Environmental chemistry; Chemistry; Environmental science; Contamination; Groundwater remediation; Aquifer; Soil science; Geology; Ecology; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00022984,0.0002239421,0.0003004195,0.0004435088,0.0002661762,0.0003669462,0.0001162453,0.0001654116,0.000511704],"category_scores_gemma":[0.0007136379,0.00009982184,0.0001545569,0.0008457905,0.0001579925,0.0001993572,0.000232199,0.0002876028,0.0001045755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002225831,"about_ca_system_score_gemma":0.0003497064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006766312,"about_ca_topic_score_gemma":0.008404536,"domain_scores_codex":[0.9998105,0.00003645118,0.000009692448,0.00004027743,0.00006237088,0.00004081268],"domain_scores_gemma":[0.999781,0.0000648175,0.00002986905,0.00001168741,0.00009414212,0.00001845994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002980078,0.000226868,0.02928491,0.00008763164,0.00005437246,0.00009837434,0.0003307375,0.001395719,0.9165757,0.0001233108,0.0003058989,0.04853631],"study_design_scores_gemma":[0.00003638819,0.001100674,0.4925639,0.000009274791,0.0001447529,0.0001814279,0.0003706226,0.01761912,0.4860323,0.0001845851,0.001697025,0.00005992165],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964291,0.00009014606,0.002749281,0.00001620686,0.000009264857,0.00002115741,0.0003070959,0.0000519194,0.0003257259],"genre_scores_gemma":[0.9965829,0.000136835,0.002091015,0.000008762675,0.000004988795,0.00002474278,0.0006469288,0.00001254173,0.0004914173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006766312,"threshold_uncertainty_score":0.01345384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02725042628660479,"score_gpt":0.2653406920409237,"score_spread":0.2380902657543189,"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."}}