{"id":"W2558189299","doi":"10.1007/978-3-319-44595-3_28","title":"Landscapes of the Alberta Oil Sands","year":2016,"lang":"en","type":"book-chapter","venue":"World geomorphological landscapes","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Energy","funders":"","keywords":"Oil sands; Geology; Tailings; Fluvial; Land reclamation; Meltwater; Landform; Hydrology (agriculture); Asphalt; Structural basin; Physical geography; Geomorphology; Archaeology; Snow; Geography; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001120114,0.0002891785,0.0001097746,0.001333241,0.002454886,0.004131489,0.000516722,0.0002350007,0.005554804],"category_scores_gemma":[0.0002277265,0.0001530163,0.000128728,0.002989135,0.001947815,0.0005171741,0.0009698818,0.0003445082,0.0002370786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01919489,"about_ca_system_score_gemma":0.0100484,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.920413,"about_ca_topic_score_gemma":0.9853624,"domain_scores_codex":[0.9999038,0.0000108274,0.000001533281,0.00001000048,0.00004390206,0.00002998953],"domain_scores_gemma":[0.9999535,0.000005899514,0.00000387856,0.000003670463,0.00001988033,0.00001304095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008788313,0.00002994942,0.01241674,0.0002524334,0.0000383668,0.001133668,0.009766552,0.02407312,0.002261895,0.4967932,0.06812358,0.3850226],"study_design_scores_gemma":[0.000004389437,0.00000971231,0.04456156,0.0002306482,0.00001785005,0.0004448491,0.0101068,0.003065697,0.0005714063,0.03980899,0.9011478,0.00003025311],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.128611,0.02436289,0.004088204,0.0036031,0.0001772945,0.00003021291,0.001395078,0.0001397354,0.8375925],"genre_scores_gemma":[0.7090532,0.02345199,0.004957024,0.0002186619,0.00004675666,0.00001427444,0.0008470733,0.0001053091,0.2613057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07958704,"threshold_uncertainty_score":0.1601114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066509155848945,"score_gpt":0.1954104701429329,"score_spread":0.1847453785844435,"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."}}