{"id":"W2293616921","doi":"10.2166/wqrjc.2015.048","title":"Bench-scale comparison of conventional and high rate clarification treatment processes for acid mine drainage","year":2015,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Flocculation; Acid mine drainage; Effluent; Arsenic; Sedimentation; Environmental science; Drainage; Environmental chemistry; Chemistry; Pulp and paper industry; Waste management; Environmental engineering; Sediment; Geology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006517715,0.0003372539,0.0004411831,0.0002754185,0.0004760024,0.0008248448,0.0004743899,0.000567851,0.0009782298],"category_scores_gemma":[0.0008521597,0.0001282077,0.0006022175,0.0003590024,0.0003747403,0.0004542324,0.0003087879,0.0005808644,0.0002957771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005900324,"about_ca_system_score_gemma":0.0006238688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004989241,"about_ca_topic_score_gemma":0.007900452,"domain_scores_codex":[0.9994069,0.0001534609,0.00005221125,0.00008552049,0.0002448938,0.00005699772],"domain_scores_gemma":[0.9995418,0.0001657381,0.0000682895,0.00003788723,0.000137862,0.00004855251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005997206,0.001189002,0.001318558,0.0002791837,0.00003491146,0.00005391035,0.00008092044,0.0007884435,0.9872172,0.00006700945,0.00009936096,0.008271699],"study_design_scores_gemma":[0.0001413037,0.008920438,0.02495966,0.0000193219,0.0001123575,0.0001250958,0.0002481929,0.003263046,0.9601344,0.00007404753,0.001963389,0.00003858454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974092,0.0003805772,0.001257858,0.00003110074,0.00002393316,0.00009439839,0.0001360429,0.00001786694,0.0006490512],"genre_scores_gemma":[0.9892838,0.0009475803,0.007562612,0.00005449189,0.00002886019,0.00008766339,0.0005039421,0.00001366658,0.001517473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004989241,"threshold_uncertainty_score":0.009920418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1811233755790409,"score_gpt":0.4336813553848948,"score_spread":0.2525579798058539,"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."}}