{"id":"W2481984799","doi":"10.1016/j.apgeochem.2016.07.014","title":"Effectiveness of various dispersed alkaline substrates for the pre-treatment of ferriferous acid mine drainage","year":2016,"lang":"en","type":"article","venue":"Applied Geochemistry","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dolomite; Calcite; Acid mine drainage; Lime; Sulfate; Drainage; Pulp and paper industry; Chemistry; Mineralogy; Nuclear chemistry; Environmental chemistry; Metallurgy; Materials science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001936613,0.0001364865,0.0001924315,0.000009475465,0.00004622543,0.000003849129,0.0001837157,0.00008002675,0.0002678043],"category_scores_gemma":[0.00003162657,0.00007177464,0.00008167109,0.00008016932,0.0002351571,0.00002496471,0.00004436049,0.00002130811,0.000005977857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006810707,"about_ca_system_score_gemma":0.00001096764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001091438,"about_ca_topic_score_gemma":0.0000131307,"domain_scores_codex":[0.9992703,0.00001342569,0.0001962743,0.0002185095,0.0001420765,0.0001593799],"domain_scores_gemma":[0.9991123,0.0003737842,0.0001343084,0.0003282477,0.00001527573,0.00003610432],"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":[0.0001476169,0.000177885,0.0004236975,0.00009353675,0.00003213057,8.31228e-7,0.0001545224,0.00001163263,0.9911876,0.000155277,0.00009511381,0.007520176],"study_design_scores_gemma":[0.0007844187,0.0001209372,0.002358407,0.00002177682,0.00003991916,0.000001813313,0.00005260333,0.00002652775,0.9940121,0.001897293,0.0005897243,0.00009447874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867812,0.00009228018,0.007495226,0.00008230619,0.00002032822,0.0007234794,0.00006713234,0.00003545736,0.004702605],"genre_scores_gemma":[0.9987237,0.0000375666,0.0004879877,0.000007008721,0.00002805262,0.0002801781,0.00003126971,0.00001066077,0.0003935905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0119425,"threshold_uncertainty_score":0.293227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005929985633756671,"score_gpt":0.2281402480948996,"score_spread":0.2222102624611429,"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."}}