{"id":"W2406347147","doi":"10.1139/cjfr-2016-0047","title":"Long-term compositional changes following partial disturbance revealed by the resurvey of logging concession limits in the northern temperate forest of eastern Canada","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Ministère des Forêts, de la Faune et des Parcs","keywords":"Logging; Disturbance (geology); Abies balsamea; Geography; Ecology; Temperate forest; Ecological succession; Spruce budworm; Forestry; Marsh; Temperate rainforest; Forest management; Temperate climate; Agroforestry; Environmental science; Wetland; Balsam; Biology; Ecosystem","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001732186,0.0001763978,0.0001824433,0.001233609,0.001039589,0.000788581,0.000430864,0.0001907226,0.00106838],"category_scores_gemma":[0.0005469908,0.0001157657,0.0001468177,0.001698028,0.0005881783,0.0002064199,0.0004312758,0.0002289917,0.0001247364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005948001,"about_ca_system_score_gemma":0.003730472,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9462491,"about_ca_topic_score_gemma":0.9867424,"domain_scores_codex":[0.9998191,0.000009047762,0.00000895191,0.00004046119,0.00004565846,0.00007679927],"domain_scores_gemma":[0.9993553,0.00002971059,0.0001516585,0.00003084091,0.0002561794,0.0001764226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005082899,0.00001506384,0.988826,0.00002177164,0.00002887907,0.0001195417,0.001506248,0.00007468876,0.002715545,0.00003825856,0.0002234832,0.006379687],"study_design_scores_gemma":[2.146979e-7,0.000002070615,0.9994419,0.000002407037,0.000001997247,0.00001396375,0.0003261218,0.00002077818,0.0000264121,0.000001760008,0.0001615654,8.53277e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985237,0.0001857917,0.00003391837,0.00001954301,0.000001798553,0.000005325689,0.0006447363,0.000003174884,0.0005822284],"genre_scores_gemma":[0.9986067,0.000139873,0.00006461966,0.00001466153,0.000001842086,0.000004270417,0.0006668227,0.000001664108,0.0004995952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05375093,"threshold_uncertainty_score":0.1081349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02986075899634915,"score_gpt":0.2779788930246557,"score_spread":0.2481181340283065,"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."}}