{"id":"W4303945918","doi":"10.3390/land11101747","title":"Forest Landscape Restoration Legislation and Policy: A Canadian Perspective","year":2022,"lang":"en","type":"article","venue":"Land","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Environment and Climate Change Canada; Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Legislation; Ecosystem services; Environmental resource management; Restoration ecology; Environmental planning; Climate change mitigation; Climate change; Business; Sustainable development; Forest management; Indigenous; Sustainable forest management; Geography; Political science; Ecosystem; Ecology; Environmental science; Forestry","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":[0.008091082,0.0007047192,0.0008109192,0.007636361,0.01524636,0.01355449,0.003298153,0.003329737,0.006772121],"category_scores_gemma":[0.01728182,0.0005138615,0.0009849942,0.009747333,0.01024314,0.004217716,0.003233205,0.004828463,0.0003575737],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2910299,"about_ca_system_score_gemma":0.615128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981467,"about_ca_topic_score_gemma":0.9990128,"domain_scores_codex":[0.9900327,0.001066586,0.0003152005,0.0006901874,0.004654314,0.00324112],"domain_scores_gemma":[0.9680744,0.004783886,0.001163265,0.0005201083,0.02011595,0.005342371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001010981,0.0001741795,0.02786365,0.0026827,0.0001766311,0.0009210408,0.01131892,0.007068765,0.001344258,0.5076426,0.2609016,0.1798046],"study_design_scores_gemma":[0.00003563115,0.00005239054,0.04844466,0.004145219,0.0001837946,0.0001846399,0.01547742,0.00228349,0.0006538892,0.02372089,0.904563,0.0002550042],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04394498,0.1043292,0.004610563,0.5936649,0.001794313,0.0002591693,0.004715751,0.0003135475,0.2463676],"genre_scores_gemma":[0.7005169,0.1409025,0.01974334,0.0948238,0.0006645339,0.000191158,0.002520903,0.0001825116,0.04045424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2910299,"threshold_uncertainty_score":0.8223048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00475473288709229,"score_gpt":0.2034925804884118,"score_spread":0.1987378476013195,"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."}}