{"id":"W3173505881","doi":"10.1139/cjfr-2021-0044","title":"Tree establishment on post-mining waste soils: species, density, and mixture effects","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"GDG Environnement; Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Ministère de l'Énergie et des Ressources Naturelles","keywords":"Tailings; Environmental science; Microclimate; Soil water; Monoculture; Competition (biology); Vegetation (pathology); Mesocosm; Biomass (ecology); Ecology; Agronomy; Biology; Ecosystem; Soil science; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.001637217,0.0004682957,0.0006437101,0.0007637423,0.0003897175,0.0005944156,0.0006629192,0.0003038896,0.002255418],"category_scores_gemma":[0.001634279,0.0002957061,0.0004967947,0.0002859334,0.0003894453,0.0005590197,0.0007767199,0.0004648737,0.0002493343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005144799,"about_ca_system_score_gemma":0.000401249,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0047225,"about_ca_topic_score_gemma":0.01366533,"domain_scores_codex":[0.99898,0.0003608653,0.00007211188,0.0002754462,0.0001648532,0.0001467275],"domain_scores_gemma":[0.9949353,0.002079555,0.0006382653,0.0004523235,0.0003934748,0.001501092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01437859,0.002321544,0.533377,0.0002606267,0.0007562621,0.0005028892,0.0006564193,0.001108234,0.4236545,0.0003940212,0.0003139162,0.02227602],"study_design_scores_gemma":[0.00003042724,0.001535304,0.989341,0.000006608068,0.0001695342,0.0001653349,0.0001419105,0.002013293,0.006197451,0.00006463299,0.000317746,0.00001677601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994304,0.00007035772,0.000112268,0.000005245571,0.000003682809,0.00001147098,0.00004425253,0.000008076009,0.0003142225],"genre_scores_gemma":[0.9988589,0.00003362741,0.0003090167,0.00001422249,0.000003615017,0.00001843707,0.0001268694,0.00001365829,0.0006216601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9952775,"threshold_uncertainty_score":0.009390056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01986866179326641,"score_gpt":0.2588858931549219,"score_spread":0.2390172313616555,"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."}}