{"id":"W1963629776","doi":"10.1007/s10342-010-0373-4","title":"Living without herbicides in Québec (Canada): historical context, current strategy, research and challenges in forest vegetation management","year":2010,"lang":"en","type":"article","venue":"European Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":95,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministère des Ressources naturelles et des Forêts (Québec)","funders":"","keywords":"Reforestation; Vegetation (pathology); Context (archaeology); Forest management; Agroforestry; Silviculture; Environmental science; Environmental resource management; Ecology; Geography; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007348442,0.0003378043,0.0004280491,0.001671128,0.005625987,0.002263075,0.001957182,0.001386179,0.006390751],"category_scores_gemma":[0.001633479,0.000235447,0.0003668084,0.006621532,0.002368936,0.001143901,0.0009990052,0.002012824,0.0003057839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07254586,"about_ca_system_score_gemma":0.08617947,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982154,"about_ca_topic_score_gemma":0.9996052,"domain_scores_codex":[0.9992379,0.00007365093,0.00003387062,0.0001053796,0.0001386455,0.0004106109],"domain_scores_gemma":[0.9971523,0.0002304584,0.0005317056,0.00004421048,0.001077731,0.0009636452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003719474,0.000326331,0.7294052,0.001113461,0.0002530957,0.002200323,0.01659948,0.0009894478,0.001032024,0.009502079,0.0452679,0.1929387],"study_design_scores_gemma":[0.00001610319,0.00006216026,0.9228631,0.0007887968,0.00009221855,0.0004031659,0.01833066,0.0005865887,0.0001962118,0.0004360622,0.05614695,0.00007807893],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8837617,0.05548606,0.0005495101,0.03236196,0.0003437297,0.00007966269,0.006811287,0.00005409672,0.02055194],"genre_scores_gemma":[0.9615449,0.02071795,0.0005494448,0.002490783,0.00008809655,0.00002476111,0.001392965,0.00002105757,0.01316999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07254586,"threshold_uncertainty_score":0.5263596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.127876096180599,"score_gpt":0.3397219445669179,"score_spread":0.2118458483863189,"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."}}