{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008936745,0.0001067357,0.0002657437,0.00004835728,0.00005568665,0.000008410769,0.0001013796,0.00009102791,0.0000794016],"category_scores_gemma":[0.0002574221,0.00007546054,0.0001466342,0.0001103319,0.00004382856,0.0002241686,0.00001549986,0.0001610569,0.000007284527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006938154,"about_ca_system_score_gemma":0.00002997032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007453933,"about_ca_topic_score_gemma":0.00001453757,"domain_scores_codex":[0.9989699,0.0001043872,0.0004586633,0.0001593111,0.0001455205,0.0001622404],"domain_scores_gemma":[0.9990475,0.000529503,0.0001951354,0.0001241641,0.00003746644,0.00006628613],"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":[0.0003921486,0.0001184937,0.0005772816,0.00004007741,0.00005638734,0.00004813445,0.0005574088,0.004557748,0.9878977,0.001541248,0.0005937144,0.003619634],"study_design_scores_gemma":[0.0008872946,0.00585464,0.0004239005,0.00004271404,0.0002119303,0.0002845881,0.00003502501,0.2458217,0.7425774,0.001607858,0.00211109,0.0001418332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8861518,0.0001059042,0.1093009,0.003605615,0.0001340006,0.0002771579,0.000007066782,0.00001359711,0.0004039879],"genre_scores_gemma":[0.9985589,0.00003357238,0.0009234835,0.00009962382,0.0001957557,0.0000329146,0.000003959849,0.00001194287,0.0001398707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2453203,"threshold_uncertainty_score":0.3077192,"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."}}