{"id":"W2160040184","doi":"10.2174/1874123100701010023","title":"Kinetics of Iron (II) Removal from Aqueous Solution Using Activated Dolomite","year":2007,"lang":"en","type":"article","venue":"The Open Chemical Engineering Journal","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University","keywords":"Dolomite; Dissolution; Mass transfer; Aqueous solution; Magnesium; Diffusion; Chemistry; Kinetics; Particle size; Inorganic chemistry; Mineralogy; Materials science; Chemical engineering; Thermodynamics; Metallurgy; Chromatography; Physical chemistry; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004580118,0.0004437704,0.0007184956,0.0002127731,0.0002719795,0.0003946119,0.0003969988,0.0004407581,0.0004299136],"category_scores_gemma":[0.0005726538,0.000229728,0.0002703851,0.0002820416,0.0002309407,0.0003632481,0.0002048895,0.000532412,0.000284426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006891185,"about_ca_system_score_gemma":0.0005511913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007903735,"about_ca_topic_score_gemma":0.00787891,"domain_scores_codex":[0.9996998,0.0000360964,0.00003003458,0.00005560374,0.0001149658,0.0000634721],"domain_scores_gemma":[0.9997274,0.0001272879,0.00004025062,0.00001251618,0.00006923548,0.00002327833],"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":[0.0001835024,0.00003027222,0.0002719547,0.000108853,0.000006320976,0.00002846867,0.00003797661,0.0004169093,0.9969349,0.00003655289,0.00001578355,0.001928515],"study_design_scores_gemma":[0.00001259626,0.0002642151,0.000871907,0.000006265036,0.000007469873,0.00003679965,0.00002927451,0.00287902,0.9953339,0.00002567545,0.0005244247,0.000008517733],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917482,0.001081867,0.005786333,0.00006141277,0.00001532294,0.00008927345,0.0002268898,0.0000637862,0.0009269153],"genre_scores_gemma":[0.9864469,0.001274378,0.009075301,0.00003257963,0.000007241317,0.0000726522,0.0002803556,0.00001893219,0.002791633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007903735,"threshold_uncertainty_score":0.01571542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069522712431828,"score_gpt":0.2691369834284599,"score_spread":0.2484417563041416,"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."}}