{"id":"W1989422427","doi":"10.1073/pnas.1117693108","title":"Oil sands mining and reclamation cause massive loss of peatland and stored carbon","year":2012,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":263,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates; Killam Trusts; Suncor Energy Incorporated","keywords":"Oil sands; Tailings; Peat; Land reclamation; Carbon sequestration; Environmental science; Tonne; Asphalt; Carbon fibers; Logging; Environmental protection; Waste management; Carbon dioxide; Forestry; Ecology; Geography; Engineering; Archaeology; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007914143,0.00006004445,0.0001148621,0.00005413406,0.00009487941,0.000007109778,0.0001623899,0.00005864874,0.00001376136],"category_scores_gemma":[0.0001584328,0.00003889577,0.00001605949,0.0002142994,0.0008433805,0.000310397,0.0001409394,0.00004963118,1.11238e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002140116,"about_ca_system_score_gemma":0.000004537363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002171497,"about_ca_topic_score_gemma":7.960083e-7,"domain_scores_codex":[0.9991565,0.000006206817,0.000177784,0.0001265993,0.0004104118,0.0001225226],"domain_scores_gemma":[0.999578,0.00007952188,0.0002750385,0.000005154119,0.00002405032,0.00003826532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001121529,0.00001721258,0.9375331,0.00002574965,0.000006074037,2.915541e-9,0.0008174987,0.00001199557,0.05984601,0.0009111228,0.000126794,0.0006931782],"study_design_scores_gemma":[0.0002175884,0.0000476364,0.9780512,0.00003285931,0.00001523334,0.00001166172,0.0002477127,0.0009607367,0.01890505,0.001354304,0.0000970059,0.00005898146],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894748,0.00009830547,1.12586e-7,0.0007504572,0.00001164543,0.00003082318,0.000004114128,0.000002528128,0.009627252],"genre_scores_gemma":[0.999263,0.00008166763,0.0004547787,0.00004000608,0.00003049033,0.000003211842,1.441856e-7,0.000001730597,0.0001249756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04094096,"threshold_uncertainty_score":0.3107471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02616833536548878,"score_gpt":0.2677672026860581,"score_spread":0.2415988673205693,"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."}}