{"id":"W2125182700","doi":"10.1007/s10230-012-0192-6","title":"Quantitative Assessment of Mine Water Sources Based on the General Mixing Equation and Multivariate Statistics","year":2012,"lang":"en","type":"article","venue":"Mine Water and the Environment","topic":"Geoscience and Mining Technology","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cape Breton University","funders":"Grantová Agentura České Republiky","keywords":"Aquifer; Hydrogeology; Environmental science; Water quality; Groundwater; Coal mining; Structural basin; Hydrology (agriculture); Coal; Geochemical modeling; Current (fluid); Mining engineering; Geology; Oceanography; Waste management; Geotechnical engineering; Engineering; Geomorphology","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":[0.002823282,0.000579678,0.0006836063,0.0018057,0.0002598153,0.001060548,0.0006207325,0.0008067068,0.0006550711],"category_scores_gemma":[0.008266198,0.000326921,0.0007605583,0.001179004,0.0006306893,0.002255497,0.00118052,0.0005983585,0.0001303392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004802457,"about_ca_system_score_gemma":0.0007239038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001931013,"about_ca_topic_score_gemma":0.001634954,"domain_scores_codex":[0.9987397,0.0006021633,0.0000608137,0.000148235,0.0004054264,0.00004369224],"domain_scores_gemma":[0.9966676,0.002368687,0.0003725395,0.0001933729,0.0003470748,0.00005073022],"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":[0.0006225166,0.0002011348,0.04681026,0.0002815893,0.0004022421,0.0001589263,0.0002168669,0.7670413,0.04591988,0.04764909,0.0005394676,0.09015667],"study_design_scores_gemma":[0.00001390607,0.00005108384,0.007906809,0.000007063598,0.00002929565,0.00004096829,0.00002541902,0.9787641,0.003107558,0.009851759,0.0001748486,0.00002713151],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1569106,0.0001301729,0.841373,0.0001163692,0.000007676786,0.00004450567,0.0001503467,0.0001552861,0.001112005],"genre_scores_gemma":[0.9355882,0.0001336473,0.06315104,0.0000244296,0.00002221161,0.00004923483,0.000252373,0.00005279679,0.0007261619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002823282,"threshold_uncertainty_score":0.01493108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01965668691511135,"score_gpt":0.2330825497568701,"score_spread":0.2134258628417587,"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."}}