{"id":"W2516540967","doi":"10.4172/2155-6199.1000358","title":"Application of Microbial Culture and Rhamnolipid for Improving the Sedimentation of Oil Sand Tailings","year":2016,"lang":"en","type":"article","venue":"Journal of Bioremediation & Biodegradation","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Tailings; Flocculation; Rhamnolipid; Sedimentation; Oil sands; Dewatering; Environmentally friendly; Chemistry; Environmental science; Pulp and paper industry; Environmental engineering; Environmental chemistry; Geology; Sediment; Bacteria; Materials science; Geotechnical engineering; Biology; Ecology","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":[0.000297095,0.0006006769,0.0004458276,0.0002769479,0.0001424575,0.0004530667,0.0002323226,0.000386932,0.0003254973],"category_scores_gemma":[0.0002705341,0.0001350888,0.0004348564,0.0002163272,0.0001409301,0.0002794861,0.0004419433,0.0004897941,0.0001530197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001512263,"about_ca_system_score_gemma":0.000235366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008637083,"about_ca_topic_score_gemma":0.001714095,"domain_scores_codex":[0.9996985,0.00005808721,0.0000476103,0.00006204149,0.00009185162,0.00004185469],"domain_scores_gemma":[0.9998366,0.00002705557,0.00005128783,0.00001409169,0.00004013201,0.00003089967],"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":[0.00002752141,0.00003132152,0.0001080643,0.00003770138,0.000004252957,0.00002189645,0.00001156568,0.00002744171,0.998785,0.000004377302,0.000004299402,0.0009366028],"study_design_scores_gemma":[0.000003876734,0.0004908172,0.001467302,0.00001000462,0.00002446449,0.00006915472,0.00004159404,0.0002231314,0.9972224,0.000006603256,0.0004357921,0.000004760558],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944125,0.001776075,0.002989651,0.0001068857,0.00003613709,0.00004522554,0.00009719327,0.00003119011,0.0005051603],"genre_scores_gemma":[0.9875755,0.001669733,0.009212095,0.0000593056,0.00002211984,0.00004134303,0.000197827,0.0000132781,0.001208731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008637083,"threshold_uncertainty_score":0.001717389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006988902880477268,"score_gpt":0.215560810413735,"score_spread":0.2085719075332577,"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."}}