{"id":"W2006068452","doi":"10.1002/hyp.6647","title":"Modelling potential impacts of coalbed methane development on stream water quality in an American watershed","year":2007,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Outfall; Environmental science; Water quality; Watershed; Hydrology (agriculture); STREAMS; Coalbed methane; Alkalinity; Discharge; Environmental engineering; Drainage basin; Geology; Waste management; Coal; Coal mining; Geography; Engineering","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":[0.0003484348,0.0004437615,0.000292733,0.0003570887,0.0004568689,0.0007966032,0.0007537316,0.001042298,0.0009223032],"category_scores_gemma":[0.0006978146,0.0003337497,0.0005289286,0.0005664925,0.0005537888,0.0006132339,0.0004658763,0.000472812,0.00005461677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003421777,"about_ca_system_score_gemma":0.001940731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1792612,"about_ca_topic_score_gemma":0.1251022,"domain_scores_codex":[0.9998614,0.00003598717,0.000006835059,0.00003982559,0.00001988756,0.00003605812],"domain_scores_gemma":[0.9997028,0.000144844,0.00004018833,0.00001649073,0.00005740842,0.00003828136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003973878,0.00007425087,0.01754138,0.000007166681,0.00001453908,0.00008245791,0.00001932254,0.979525,0.0008627812,0.0002950625,0.0001004978,0.001437843],"study_design_scores_gemma":[0.00001307363,0.00003099568,0.004241431,0.000001079524,0.000006650315,0.000004151434,0.0000327197,0.9950634,0.0003863555,0.0001198611,0.00009588348,0.000004326551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971712,0.00001254167,0.001405009,0.00005963109,0.000002804789,0.00002251676,0.0001969543,0.00004576829,0.0010835],"genre_scores_gemma":[0.9982129,0.00001805692,0.001114693,0.000009689687,0.000001034625,0.00001799991,0.0001176393,0.000004267572,0.0005037449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1792612,"threshold_uncertainty_score":0.3564356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03378350337525036,"score_gpt":0.2857261802308765,"score_spread":0.2519426768556261,"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."}}