{"id":"W6921627622","doi":"10.7939/r3-8730-4k32","title":"Partitioning of inorganic contaminants between fluid fine tailings and cap water under end pit lake scenario: Biological, Chemical and Mineralogical processes","year":2019,"lang":"en","type":"dissertation","venue":"University of Alberta Library","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tailings; Biogeochemical cycle; Methanogenesis; Extraction (chemistry); Environmental remediation; Amendment; Nutrient; Oil sands; Groundwater","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001946837,0.0003742058,0.0004813369,0.0004076215,0.0007466279,0.001117846,0.0004143465,0.0006470187,0.0008732104],"category_scores_gemma":[0.000193457,0.0002183559,0.0004353954,0.0003621881,0.0003900985,0.000751484,0.0005201731,0.0005756865,0.0001525273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535123,"about_ca_system_score_gemma":0.001238263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06242668,"about_ca_topic_score_gemma":0.1001858,"domain_scores_codex":[0.9997332,0.00001691405,0.00001280806,0.00007650618,0.00008144134,0.00007925452],"domain_scores_gemma":[0.9998927,0.00001682212,0.0000225656,0.000002732541,0.00004387353,0.00002137956],"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":[0.000750448,0.000293148,0.07212263,0.0005866786,0.00007352747,0.001265318,0.0005581634,0.004776539,0.9050834,0.0003699722,0.0007335567,0.01338678],"study_design_scores_gemma":[0.00009276248,0.002463004,0.3514526,0.0001193175,0.0002718916,0.0005232373,0.007091831,0.04838974,0.5795719,0.0009149865,0.008933699,0.0001750267],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978452,0.0001971318,0.000273466,0.00008612517,0.000009806678,0.00002777503,0.0005846534,0.000018619,0.000957348],"genre_scores_gemma":[0.9966282,0.0003789267,0.0009836422,0.00006778049,0.000007908401,0.00003065224,0.000539814,0.000009459214,0.001353487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06242668,"threshold_uncertainty_score":0.1241267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007632202370399501,"score_gpt":0.1793039452159408,"score_spread":0.1716717428455413,"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."}}