{"id":"W1578189294","doi":"10.1007/978-94-007-0810-5_87","title":"Liming of Acid and Metal Contaminated Catchments for the Improvement of Drainage Water Quality","year":2001,"lang":"en","type":"book-chapter","venue":"","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Wetland; Environmental science; Drainage; Water quality; Biota; Drainage basin; Groundwater; Hydrology (agriculture); Dolomite; Surface water; Environmental chemistry; Environmental engineering; Ecology; Geology; Chemistry; Mineralogy","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":[0.0001409534,0.0002493511,0.0002739431,0.0003571643,0.0002045795,0.0004027019,0.0004214688,0.0003034513,0.003344879],"category_scores_gemma":[0.0001472101,0.0001326917,0.0002310773,0.000602264,0.0001906806,0.0004179089,0.000317546,0.0003612884,0.000712151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001976369,"about_ca_system_score_gemma":0.0002475605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006920125,"about_ca_topic_score_gemma":0.002627528,"domain_scores_codex":[0.9999648,0.000005228892,0.000002228249,0.000005803481,0.00001839061,0.000003506123],"domain_scores_gemma":[0.9999782,0.00001174935,0.00000179228,0.000002295887,0.000003939409,0.000002094632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001565674,0.0001943575,0.001060655,0.001283779,0.00003045442,0.0006302673,0.0003135344,0.005289377,0.2201392,0.01171684,0.01341326,0.7457718],"study_design_scores_gemma":[0.00008108545,0.000516777,0.01048407,0.0003482444,0.0001031574,0.002800684,0.0003301266,0.009288733,0.356951,0.03178604,0.587261,0.00004900486],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2787506,0.2474471,0.2187657,0.003549346,0.001706968,0.0004689043,0.0006408939,0.001645365,0.2470252],"genre_scores_gemma":[0.4631867,0.1356252,0.1115784,0.001115467,0.0003121374,0.000134852,0.000651043,0.0003396273,0.2870565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003344879,"threshold_uncertainty_score":0.01118976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02902339813695913,"score_gpt":0.2639454724053775,"score_spread":0.2349220742684184,"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."}}