{"id":"W4391512378","doi":"10.1007/s11258-023-01393-3","title":"Comparison of edge effects from well pads and industrial roads on mixed upland boreal forest vegetation in Alberta","year":2024,"lang":"en","type":"article","venue":"Plant Ecology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Canadian Forest Service; Office of Energy Research and Development; Natural Resources Canada; U.S. Forest Service","keywords":"Taiga; Applied ecology; Plant ecology; Vegetation (pathology); Biodiversity; Boreal; Ecology; Environmental science; Geography; Agroforestry; Forestry; Physical geography; 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":[0.0002084145,0.0001225073,0.0002971027,0.00007328996,0.00002294518,0.00001594494,0.00009331873,0.0002003312,0.00005484168],"category_scores_gemma":[0.00009236484,0.0001075545,0.000021215,0.0001083796,0.00006292162,0.00006987514,0.00005785238,0.0001915195,0.0002502404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000101988,"about_ca_system_score_gemma":0.00001131195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01152494,"about_ca_topic_score_gemma":0.166732,"domain_scores_codex":[0.9989668,0.0001819001,0.0002473189,0.0002928173,0.0001113903,0.0001998469],"domain_scores_gemma":[0.9977971,0.001975902,0.00006619313,0.0001055976,0.000001304516,0.0000539568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001051624,0.00009600817,0.9906245,0.00005419302,0.00001769399,0.00003883593,0.0003863651,0.0003396599,0.001377178,0.00009621315,0.003041973,0.003822177],"study_design_scores_gemma":[0.0007789808,0.0005107675,0.9249979,0.00009891737,0.0000190926,0.000006633967,0.000008493425,0.06872679,0.002733059,0.0001245307,0.001889283,0.0001055097],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952837,0.00005941248,0.000006118938,0.0001049557,0.001139987,0.0003668653,0.00002292474,0.00001642012,0.00299963],"genre_scores_gemma":[0.9996606,0.000005194938,0.00001882701,0.0000275073,0.00007021856,0.00002993313,0.0001385582,0.00001028497,0.00003889455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1552071,"threshold_uncertainty_score":0.9950574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143420161623575,"score_gpt":0.2334427427758617,"score_spread":0.222008541159626,"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."}}