{"id":"W4403756293","doi":"10.1002/9781394187416.ch8","title":"Afforestation of Former Asbestos Mines in Quebec, Canada","year":2024,"lang":"en","type":"other","venue":"","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais; Ministère des Ressources naturelles et des Forêts; Ministère des Ressources naturelles et des Forêts (Québec); Université TÉLUQ; Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Asbestos; Afforestation; Archaeology; Geography; Mining engineering; Environmental science; Environmental protection; Forestry; Geology; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001556963,0.0002308806,0.0001539367,0.001181912,0.002385545,0.0007889009,0.0005857091,0.0002062118,0.003670754],"category_scores_gemma":[0.0002873309,0.0001103399,0.0001502364,0.002384284,0.0005441222,0.0002190305,0.0003400495,0.0002661597,0.0002604741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02493203,"about_ca_system_score_gemma":0.01663171,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969415,"about_ca_topic_score_gemma":0.9994218,"domain_scores_codex":[0.9997965,0.000009754236,0.0000060615,0.0000303746,0.00007592337,0.00008148746],"domain_scores_gemma":[0.9996309,0.00001800892,0.00005282459,0.000007738361,0.0002028896,0.00008763123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001499222,0.0001026083,0.8693762,0.000208117,0.00007263992,0.001543189,0.005155699,0.001742598,0.005141403,0.001861517,0.01086913,0.1037771],"study_design_scores_gemma":[0.000003354727,0.0000236341,0.9797456,0.00004239141,0.000009782791,0.0001664849,0.004209587,0.0005864169,0.0004105483,0.00004263739,0.01474764,0.00001182753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785348,0.001059204,0.0002566504,0.0002791648,0.00001590288,0.00004058929,0.004832844,0.00002936111,0.01495157],"genre_scores_gemma":[0.9782406,0.001021375,0.0004535608,0.00007534562,0.000004270615,0.00001288366,0.001687412,0.000009412845,0.01849504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02493203,"threshold_uncertainty_score":0.1808954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005667229126168419,"score_gpt":0.1933534597351019,"score_spread":0.1876862306089335,"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."}}