{"id":"W4408359645","doi":"10.1016/j.foreco.2025.122621","title":"Mechanical site preparation and use of non-invasive cover crops influences early-successional forest vegetation composition of a reclaimed airstrip in the Boreal Forest","year":2025,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Northern Alberta Institute of Technology","funders":"Natural Sciences and Engineering Research Council of Canada; Shell Canada; Canadian Natural Resources Limited","keywords":"Taiga; Environmental science; Vegetation (pathology); Boreal; Ecology; Agroforestry; Ecological succession; Clearcutting; Forestry; 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":[0.0001893679,0.0001182167,0.0001711743,0.0002360274,0.0000633527,0.0000276661,0.00009046099,0.00009053043,0.000003221609],"category_scores_gemma":[0.0000179475,0.00009779781,0.00002826861,0.0002420369,0.0001161121,0.000214798,0.00008618923,0.00006334072,0.00000154404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000310774,"about_ca_system_score_gemma":0.0000106425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008472196,"about_ca_topic_score_gemma":0.009048715,"domain_scores_codex":[0.9991848,0.00005392138,0.0003347851,0.0001700239,0.0001194289,0.0001369989],"domain_scores_gemma":[0.9995791,0.0001358195,0.00008770415,0.0001347535,0.00004040356,0.00002227116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000233367,0.0001459975,0.7633383,0.001062941,0.000159482,0.0000114076,0.0005643458,0.08658487,0.0002377094,0.1457166,0.001159696,0.0007852612],"study_design_scores_gemma":[0.0007842742,0.000151534,0.9447186,0.0001341999,0.00007010168,0.000001167164,0.00006465096,0.05044419,0.0002140275,0.002843481,0.0004963439,0.00007740033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895414,0.00005704251,0.007827014,0.0001284436,0.0001219406,0.000797355,0.000007471792,0.00002171409,0.001497689],"genre_scores_gemma":[0.9987161,0.0003063624,0.0005705047,0.0001235072,0.000006991966,0.0001214302,0.00009363833,0.000005779467,0.00005568674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1813803,"threshold_uncertainty_score":0.5049396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007738234906493883,"score_gpt":0.2372518620613766,"score_spread":0.2295136271548827,"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."}}