{"id":"W4224122686","doi":"10.1111/rec.13703","title":"Plains rough fescue grassland restoration using natural regeneration after pipeline disturbances","year":2022,"lang":"en","type":"article","venue":"Restoration Ecology","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Natural Resources Limited","keywords":"Species evenness; Species richness; Environmental science; Grassland; Ecological succession; Topsoil; Plant community; Revegetation; Restoration ecology; Threatened species; Ecology; Biology; Habitat; Soil science; Soil water","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":[0.0002956599,0.0001114871,0.000112358,0.00005547525,0.0005210635,0.00004130451,0.0001167035,0.00004124,0.0009097034],"category_scores_gemma":[0.00002581264,0.0001068056,0.00003486171,0.000226639,0.000056554,0.0003412291,0.0001446144,0.0001414172,0.00006537074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005119948,"about_ca_system_score_gemma":0.0000173506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001776174,"about_ca_topic_score_gemma":0.003070559,"domain_scores_codex":[0.9987847,0.0002294378,0.0002311469,0.0002882428,0.0002716322,0.0001948537],"domain_scores_gemma":[0.9996321,0.00002254737,0.0001262134,0.0001704116,0.000009428648,0.00003930366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003098917,0.0002683718,0.4956726,0.0000139545,0.00002223553,0.00006389416,0.0009143278,0.4072673,0.004752698,0.0006381003,0.08539082,0.004685873],"study_design_scores_gemma":[0.0009290716,0.0002790472,0.529907,0.000004148233,0.00004132239,0.00002620498,0.0002144589,0.1774117,0.0001791974,0.0006533293,0.2899444,0.0004101711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930325,0.0001478654,0.002527232,0.001979882,0.001079667,0.0003029543,0.00001243272,0.00004324036,0.0008742397],"genre_scores_gemma":[0.9958798,0.0000150305,0.0004606282,0.0006063543,0.0002200388,0.0001147422,0.0001613045,0.00001072477,0.00253136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2298556,"threshold_uncertainty_score":0.9960614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070787107331641,"score_gpt":0.2289477690191665,"score_spread":0.2182398979458501,"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."}}