{"id":"W3159089916","doi":"10.3390/en14092603","title":"De-Risking Wood-Based Bioenergy Development in Remote and Indigenous Communities in Canada","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Indigenous Services Canada","keywords":"Bioenergy; Business; Natural resource economics; Biomass (ecology); Supply chain; Greenhouse gas; Environmental resource management; Indigenous; Context (archaeology); Environmental planning; Environmental science; Agroforestry; Environmental protection; Renewable energy; Geography; Ecology; Economics","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":[0.001226097,0.0003161718,0.0003071328,0.0009274168,0.01296433,0.002834095,0.001330843,0.0005009414,0.002081688],"category_scores_gemma":[0.002373994,0.0002029779,0.0003312913,0.001485726,0.002458515,0.0007463717,0.003422312,0.0009864767,0.00008003975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05700976,"about_ca_system_score_gemma":0.132724,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9927192,"about_ca_topic_score_gemma":0.9984378,"domain_scores_codex":[0.9982199,0.0002148089,0.00003356758,0.0001157105,0.0004610418,0.0009550616],"domain_scores_gemma":[0.9972817,0.0002357313,0.0002143274,0.00005527212,0.0008892331,0.001323653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003495214,0.0006506045,0.5470576,0.0007219018,0.000181028,0.006282968,0.2458959,0.002570169,0.007421448,0.01083236,0.008062003,0.1699745],"study_design_scores_gemma":[0.00002334374,0.0001504829,0.3965397,0.0003913436,0.00007601356,0.0004167757,0.5625764,0.001861847,0.0009912908,0.001352549,0.03552722,0.00009306211],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894841,0.0003977453,0.0002539482,0.001319793,0.00001289177,0.00007279275,0.00008760675,0.000007611955,0.008363446],"genre_scores_gemma":[0.9968646,0.0004090195,0.0004455038,0.0002271402,0.000001938057,0.00001542401,0.00005598775,0.000003885175,0.001976417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05700976,"threshold_uncertainty_score":0.4136367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008558501421966278,"score_gpt":0.1808856992586023,"score_spread":0.1723271978366361,"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."}}