{"id":"W2547664542","doi":"10.1016/j.jwpe.2016.10.002","title":"Removal of bitumen from mature oil sands tailings slurries by electro-flotation","year":2016,"lang":"en","type":"article","venue":"Journal of Water Process Engineering","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tailings; Slurry; Asphalt; Oil sands; Chemistry; Anode; Pulp and paper industry; Metallurgy; Materials science; Chemical engineering; Waste management; Composite material; Electrode","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001548409,0.00008692688,0.0001373521,0.00005309152,0.00001907737,0.00001716364,0.0001233116,0.00004824318,0.0002938856],"category_scores_gemma":[0.00003036496,0.00004955499,0.00003937939,0.0000688216,0.00001759026,0.0004414091,0.00001484711,0.00007602949,0.000008286914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004415271,"about_ca_system_score_gemma":0.000006119661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001160516,"about_ca_topic_score_gemma":0.000001019392,"domain_scores_codex":[0.9992248,0.000009712142,0.0003206875,0.00008192976,0.00024503,0.0001178086],"domain_scores_gemma":[0.999701,0.00001498048,0.0001394413,0.00005697724,0.00003948079,0.00004814141],"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":[0.000022237,0.00001207717,0.0002147701,0.00001452646,0.000009960135,0.00000414707,0.0006589166,0.000705792,0.9946495,0.000008651653,0.001143195,0.002556246],"study_design_scores_gemma":[0.0002463494,0.00005707223,0.0001410634,0.00005791986,0.000008616603,0.00003541135,0.00002208513,0.0007468841,0.9902511,0.0002614924,0.00808925,0.00008277158],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840625,0.00009769756,0.0150993,0.000397308,0.00005597158,0.00002114639,0.000003674404,0.00002641206,0.0002360054],"genre_scores_gemma":[0.9955452,0.00006599774,0.003537552,0.00003569857,0.00005010984,0.000002532078,0.000003697998,0.00001143049,0.0007477498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01156174,"threshold_uncertainty_score":0.3217841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003058485675685727,"score_gpt":0.2003804146521951,"score_spread":0.1973219289765094,"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."}}