{"id":"W7099093977","doi":"","title":"From Acid Dip to Thriving Waters The Impact of Emissions Reductions on Lake Recovery","year":2007,"lang":"en","type":"article","venue":"","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Alkalinity; Acid rain; Thriving; Control (management); Function (biology); Optimal control; State (computer science)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009922108,0.000653761,0.000939481,0.0004237292,0.0006613315,0.002521593,0.001276146,0.0017196,0.004923669],"category_scores_gemma":[0.002202179,0.000691187,0.001007228,0.0004929552,0.001690318,0.001532482,0.0011096,0.00136559,0.0002201657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006216545,"about_ca_system_score_gemma":0.004653465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1943711,"about_ca_topic_score_gemma":0.1213351,"domain_scores_codex":[0.999382,0.0002285444,0.00001906428,0.0001324283,0.00006599843,0.0001719738],"domain_scores_gemma":[0.9994116,0.0002926872,0.0001481424,0.00002523185,0.00006660157,0.0000558346],"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":[0.00006556883,0.00003886748,0.001061774,0.00002910559,0.00002494279,0.00006707838,0.00003289228,0.9787401,0.0005342233,0.01727468,0.0004160696,0.001714745],"study_design_scores_gemma":[0.00007898742,0.00008026711,0.00133658,0.00001022838,0.00004264027,0.00001156476,0.00007234309,0.9836053,0.0004117528,0.01335211,0.0009768856,0.00002132309],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.754397,0.0008180186,0.1889571,0.006294995,0.0000777883,0.000312517,0.001991499,0.0003497846,0.04680125],"genre_scores_gemma":[0.9861773,0.0002941568,0.004555419,0.0001078871,0.00001172873,0.00009969486,0.0001583989,0.00001353418,0.008581916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1943711,"threshold_uncertainty_score":0.3864794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071354775594604,"score_gpt":0.2778151253134854,"score_spread":0.2671015775575394,"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."}}