{"id":"W4402291075","doi":"10.1016/j.jconhyd.2024.104427","title":"Effect of waste rock particle size on acid mine drainage generation: Practical implications for reactive transport modeling","year":2024,"lang":"en","type":"article","venue":"Journal of Contaminant Hydrology","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Korea Institute of Energy Technology Evaluation and Planning; Norges Forskningsråd; National Research Foundation of Korea","keywords":"Extrapolation; Acid mine drainage; Particle size; Particle (ecology); Particle-size distribution; Mineralogy; Soil science; Reactive material; Environmental science; Kinetic energy; Materials science; Geotechnical engineering; Chemistry; Geology; Metallurgy; Mathematics; Physics; Statistics","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":[0.0006115781,0.0004658214,0.0003544049,0.0002501586,0.0002700223,0.0005748324,0.0005827672,0.0006294711,0.0005486502],"category_scores_gemma":[0.002375001,0.0002215332,0.0004019563,0.0002503614,0.0003442245,0.0007059866,0.0003832242,0.0002837167,0.00007749427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004949095,"about_ca_system_score_gemma":0.0004842327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009074668,"about_ca_topic_score_gemma":0.005661838,"domain_scores_codex":[0.9998451,0.00005738993,0.0000142145,0.00003135635,0.00003686775,0.00001503414],"domain_scores_gemma":[0.9987898,0.0008785925,0.0001136696,0.00007338007,0.000121804,0.00002273224],"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":[0.00009428611,0.0001115847,0.01427555,0.00005560669,0.00001771111,0.0001144895,0.00004113834,0.9455158,0.02839262,0.001299383,0.0001117799,0.009969983],"study_design_scores_gemma":[0.000007140689,0.00003083085,0.001614484,0.000003643627,0.000006745109,0.00001602499,0.00001771544,0.9901456,0.007611797,0.0003967065,0.0001421337,0.000007154526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8997625,0.0004060858,0.09598504,0.0003551672,0.00002550897,0.00006620634,0.0001771414,0.0001507895,0.003071637],"genre_scores_gemma":[0.9890997,0.0001841312,0.01019162,0.00001947019,0.000005054377,0.00002617775,0.00004956426,0.00001898399,0.0004052903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009074668,"threshold_uncertainty_score":0.0180437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01663357915548147,"score_gpt":0.3039929582978909,"score_spread":0.2873593791424094,"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."}}