{"id":"W3144990228","doi":"10.3390/ma14071582","title":"Using Specified Risk Materials-Based Peptides for Oil Sands Fluid Fine Tailings Management","year":2021,"lang":"en","type":"article","venue":"Materials","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Northern Alberta Institute of Technology; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Agriculture and Forestry","keywords":"Tailings; Settling; Oil sands; Slurry; Environmental science; Flocculation; Sedimentation; Waste management; Pulp and paper industry; Chemistry; Materials science; Geology; Environmental engineering; Metallurgy; Sediment; Composite material; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001545142,0.0003199092,0.0001415208,0.0002386516,0.0001305016,0.0002990176,0.0001271083,0.0002655365,0.0003658088],"category_scores_gemma":[0.0001457363,0.00008047737,0.0002029057,0.0001280249,0.0001674002,0.0002740993,0.0002384212,0.0003013987,0.000153064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000200144,"about_ca_system_score_gemma":0.0002269455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004049193,"about_ca_topic_score_gemma":0.001440367,"domain_scores_codex":[0.9998695,0.00001773837,0.00001067408,0.00002233739,0.00005635502,0.00002338337],"domain_scores_gemma":[0.9999037,0.00001234734,0.00004921723,0.00000499873,0.00001531443,0.00001451311],"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":[0.00002701433,0.0000182734,0.0001867695,0.00004538629,0.000003008611,0.00003507883,0.000009604334,0.0001565087,0.9957148,0.00005241051,0.00001387788,0.003737233],"study_design_scores_gemma":[0.000002655483,0.0002139913,0.0007743477,0.000006030813,0.000006303786,0.00007248141,0.00001712245,0.0005167162,0.9972119,0.00001910737,0.001155712,0.000003685107],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865336,0.001329687,0.01059513,0.00007487329,0.00001994814,0.00006202887,0.00007314045,0.00007374054,0.001237794],"genre_scores_gemma":[0.9832561,0.0007529278,0.01456532,0.00004227592,0.000007244832,0.00002078425,0.00007250834,0.00001025746,0.001272542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004049193,"threshold_uncertainty_score":0.001452088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0338814899625555,"score_gpt":0.2867707944126594,"score_spread":0.2528893044501039,"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."}}