{"id":"W2008514428","doi":"10.1016/j.ecolind.2011.09.025","title":"A vegetation-based Index of Biotic Integrity to assess marsh reclamation success in the Alberta oil sands, Canada","year":2011,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Alberta Conservation Association","keywords":"Land reclamation; Wetland; Environmental science; Vegetation (pathology); Oil sands; Marsh; Ecology; Hydrology (agriculture); Geography; Geology; Cartography; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006891809,0.0003255032,0.0001879963,0.001970781,0.00101731,0.0008123213,0.0007750327,0.0002080473,0.0006410641],"category_scores_gemma":[0.001552309,0.0001560743,0.0001463018,0.002065732,0.0005785476,0.0003203829,0.0004357921,0.0003917059,0.0001322252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01033745,"about_ca_system_score_gemma":0.008887541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9816204,"about_ca_topic_score_gemma":0.9965274,"domain_scores_codex":[0.9995896,0.00003410855,0.0000185131,0.00002787251,0.000244015,0.00008594118],"domain_scores_gemma":[0.9987202,0.00008368159,0.0001963464,0.00002722286,0.0007181937,0.0002545274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009096628,0.00009585002,0.9788071,0.00001748796,0.00005081951,0.00005602074,0.0003978272,0.001418942,0.0006198693,0.0001131476,0.001478061,0.01685389],"study_design_scores_gemma":[0.000004340517,0.00001794216,0.9962744,0.000007884293,0.00001060779,0.00001461467,0.0005231875,0.002379925,0.0001404084,0.00002609462,0.000595048,0.000005671369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961881,0.0001742909,0.0003206675,0.00007759148,0.000004267348,0.00002835799,0.0008247689,0.00001659164,0.002365365],"genre_scores_gemma":[0.9969079,0.0001419888,0.0007844876,0.00001540088,0.000002242215,0.00001114041,0.0007489218,0.000004417863,0.001383519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01837957,"threshold_uncertainty_score":0.07500374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03146402610717875,"score_gpt":0.2692637143254635,"score_spread":0.2377996882182847,"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."}}