{"id":"W2028423001","doi":"10.1061/9780784412190.127","title":"Oilsands Tailings Characterization Using a Robotic System","year":2012,"lang":"en","type":"article","venue":"","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Terrain; Tailings; Land reclamation; Cohesion (chemistry); Mining engineering; Geotechnical engineering; Characterization (materials science); Engineering; Environmental science; Civil engineering; Geology; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001451837,0.0003851066,0.0002972786,0.0006672292,0.0003365921,0.0004413926,0.0005121568,0.000364409,0.002551341],"category_scores_gemma":[0.0003715154,0.0001662771,0.000175482,0.0003007258,0.0002068648,0.000315979,0.0003226668,0.0001733493,0.0006979886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002952734,"about_ca_system_score_gemma":0.0005511075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005333817,"about_ca_topic_score_gemma":0.007860912,"domain_scores_codex":[0.9997877,0.00001323672,0.000009393832,0.00006189001,0.0001073382,0.00002028184],"domain_scores_gemma":[0.9997445,0.0000274248,0.0000458264,0.00005813416,0.000096927,0.00002715016],"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":[0.0003219893,0.0001570476,0.01098518,0.0002109601,0.00004821173,0.0003780069,0.0002531736,0.03613364,0.6851794,0.0006467642,0.001948555,0.2637372],"study_design_scores_gemma":[0.0001360513,0.001258932,0.07015587,0.00005704759,0.0001236314,0.0008534051,0.0006355885,0.4894818,0.4092103,0.0008163554,0.02708995,0.0001810729],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7339855,0.0001530659,0.250843,0.000101214,0.00005303767,0.0003424956,0.0007813125,0.004021596,0.009718721],"genre_scores_gemma":[0.8998111,0.00007791479,0.09370822,0.0000335833,0.0000108731,0.00009882226,0.0003981043,0.00004464211,0.005816729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005333817,"threshold_uncertainty_score":0.01060551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344459630470925,"score_gpt":0.201826408888848,"score_spread":0.1883818125841387,"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."}}