{"id":"W2786816620","doi":"10.5071/20theubce2012-1ao.6.3","title":"Establishing Ecologically Sustainable Forest Biomass Supply Chains in the Boreal Forest of Canada","year":2012,"lang":"en","type":"article","venue":"ETA Florence","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taiga; Biomass (ecology); Agroforestry; Sustainable forest management; Environmental science; Forestry; Forest industry; Forest health; Forest management; Environmental resource management; Geography; Natural resource economics; Ecology; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001120152,0.0001946345,0.0001340405,0.0009503827,0.008871171,0.003941129,0.0008176764,0.000813217,0.003107885],"category_scores_gemma":[0.001905549,0.0002231047,0.0001582004,0.001401449,0.002210089,0.001443152,0.001721539,0.0007559907,0.0001293519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08596156,"about_ca_system_score_gemma":0.1643659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928744,"about_ca_topic_score_gemma":0.9978548,"domain_scores_codex":[0.9987757,0.0001062906,0.00002798949,0.00008568771,0.000311241,0.0006931084],"domain_scores_gemma":[0.9985465,0.0001728228,0.00009601406,0.00003389318,0.0005737913,0.0005768958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003860624,0.0006970309,0.1719203,0.0009921356,0.000139205,0.005010132,0.02141806,0.03158256,0.009497598,0.3371497,0.04470091,0.3765064],"study_design_scores_gemma":[0.0001692528,0.0003145147,0.3435352,0.0008928059,0.0001150422,0.0007184105,0.09235857,0.02538562,0.004976688,0.04065907,0.4905975,0.0002772863],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8109637,0.003533174,0.003563858,0.01889611,0.00005325905,0.000451507,0.0005398111,0.00008735563,0.1619112],"genre_scores_gemma":[0.9740018,0.001841299,0.004260454,0.001013079,0.000008163775,0.00005003838,0.0002165241,0.00001069358,0.0185981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08596156,"threshold_uncertainty_score":0.6236976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009221560304529227,"score_gpt":0.2103334490012725,"score_spread":0.2011118886967433,"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."}}