{"id":"W4282968978","doi":"10.3389/ffgc.2022.849246","title":"Assessing Ecological Recovery of Reclaimed Well Sites: A Case Study From Alberta, Canada","year":2022,"lang":"en","type":"article","venue":"Frontiers in Forests and Global Change","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Northern Alberta Institute of Technology","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Alberta; Alberta Environment and Parks","keywords":"Land reclamation; Forb; Environmental science; Vegetation (pathology); Boreal; Ecosystem; Native plant; Restoration ecology; Fire regime; Ecology; Introduced species; Geography; Agroforestry; Forestry; Environmental resource management; Grassland; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001515485,0.0001185018,0.0002368795,0.00001110105,0.0001644977,0.00003093746,0.0001342195,0.00004948365,0.0001056664],"category_scores_gemma":[0.00002601445,0.00005772394,0.00004204266,0.0003071479,0.00003333308,0.00008783521,0.0001735528,0.0001133698,1.681337e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002253095,"about_ca_system_score_gemma":0.00002758464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9243606,"about_ca_topic_score_gemma":0.9911485,"domain_scores_codex":[0.9989787,0.0001436938,0.0001918398,0.0002676302,0.0001964872,0.000221686],"domain_scores_gemma":[0.9996647,0.00009969708,0.00008660214,0.00004973743,0.00001667915,0.0000826462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005283815,0.0001750017,0.9878899,0.000002182206,0.0000192213,0.0007330276,0.0001353524,0.000007389769,0.000006283285,0.000004743675,0.001506255,0.009467805],"study_design_scores_gemma":[0.0003550937,0.0005073363,0.9770258,0.000005121962,0.00002383081,0.00009470666,0.01715241,0.003016972,0.000002869451,0.0007135573,0.0009258807,0.0001764322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979814,0.0005284084,5.814721e-7,0.0001873829,0.0004713032,0.0002888506,0.0002105007,0.000008643893,0.0003229721],"genre_scores_gemma":[0.9994405,0.00001463833,0.00005803869,0.0002771799,0.00006241049,0.00004708861,0.00007355931,8.181641e-7,0.00002578781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06678782,"threshold_uncertainty_score":0.2353914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0290984346001631,"score_gpt":0.2397696821185558,"score_spread":0.2106712475183927,"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."}}