{"id":"W4226071205","doi":"10.2139/ssrn.4089920","title":"Microbubble Enhanced Bitumen Separation from Tailing Slurries with High Solid Contents","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Slurry; Asphalt; Separation (statistics); Materials science; Tailings; Metallurgy; Composite material; Computer science","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":[0.0001145878,0.0003564471,0.0003097213,0.0001735547,0.0001801826,0.0004535595,0.000163419,0.0002779689,0.00107259],"category_scores_gemma":[0.0002381004,0.00009494975,0.000180103,0.0001505858,0.0001314761,0.0003407482,0.0002790856,0.0006252895,0.0005070004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001954867,"about_ca_system_score_gemma":0.0002515276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009824964,"about_ca_topic_score_gemma":0.002924259,"domain_scores_codex":[0.9998953,0.00001153298,0.000007939132,0.00001897394,0.00003339584,0.00003281506],"domain_scores_gemma":[0.9999175,0.00001907031,0.00001677893,0.000005548718,0.0000236742,0.00001736059],"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":[0.00002829017,0.000006363338,0.00005202283,0.00001405106,0.000001453616,0.00001574973,0.000007310926,0.00003567691,0.9991505,0.00001522551,0.00000899454,0.0006642634],"study_design_scores_gemma":[0.000002372261,0.00006687442,0.0003138515,0.000001571034,0.000003857035,0.00001200804,0.0000127301,0.0002954571,0.9989409,0.000008388031,0.0003406704,0.00000142031],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945556,0.0004976611,0.003678589,0.00005889804,0.00004064447,0.00001731115,0.00008436706,0.00005987892,0.001007034],"genre_scores_gemma":[0.992009,0.0003362987,0.003601013,0.00003485289,0.00001171818,0.000008738861,0.0002127849,0.00004242856,0.003743208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00107259,"threshold_uncertainty_score":0.00358814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006147195481470868,"score_gpt":0.2411356485636189,"score_spread":0.2349884530821481,"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."}}