{"id":"W4410304987","doi":"10.2139/ssrn.5251078","title":"Rapid Tailings Dewatering by Flocculation-Sedimentation-Filtration-Microwave Sequential Treatment","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Imperial Oil (Canada); University of Alberta","funders":"","keywords":"Tailings; Flocculation; Dewatering; Sedimentation; Filtration (mathematics); Environmental science; Geology; Environmental engineering; Geotechnical engineering; Materials science; Mathematics; Sediment; Geomorphology; Metallurgy","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":[0.0002587383,0.0005392452,0.0005957476,0.0003862116,0.0003279746,0.000324676,0.0003244801,0.0003123301,0.002254917],"category_scores_gemma":[0.0002364593,0.0002122372,0.0004294505,0.0002818964,0.0002403253,0.0003699642,0.000448487,0.0007766852,0.0009290772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001846136,"about_ca_system_score_gemma":0.0004079774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002338941,"about_ca_topic_score_gemma":0.003978863,"domain_scores_codex":[0.9998531,0.00001198358,0.00001018407,0.00003947831,0.0000493718,0.00003584842],"domain_scores_gemma":[0.999907,0.00002334085,0.00001554892,0.0000150015,0.00002525437,0.00001390429],"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":[0.0001232122,0.00004659788,0.000208104,0.00007470077,0.00001280766,0.00002630063,0.00002860744,0.0002117072,0.9813054,0.0001000566,0.0001513177,0.01771121],"study_design_scores_gemma":[0.00001506142,0.0002069914,0.001546649,0.00000500503,0.0000251915,0.00004777867,0.00001393184,0.001002981,0.9949333,0.00006596249,0.002130111,0.000007099032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9028064,0.00283464,0.08882518,0.0001624696,0.0001942638,0.0003774639,0.0002995819,0.0008384235,0.003661503],"genre_scores_gemma":[0.9582151,0.001490463,0.03065012,0.0001011499,0.00004323047,0.0001171707,0.0003128038,0.00009442575,0.008975615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002338941,"threshold_uncertainty_score":0.007543385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290417802182021,"score_gpt":0.2699789593684317,"score_spread":0.2570747813466115,"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."}}