{"id":"W4319317173","doi":"10.3390/en16041560","title":"Bioenergy for Community Energy Security in Canada: Challenges in the Business Ecosystem","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; University of Saskatchewan","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Bioenergy; Business; Energy security; Natural resource economics; Environmental resource management; Subsidy; Ecosystem services; Renewable energy; Government (linguistics); Environmental economics; Environmental planning; Ecosystem; Economics; Environmental science; Ecology","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":[0.00212623,0.000228104,0.0002394459,0.0007144606,0.03347943,0.008614477,0.001138969,0.001510211,0.004134308],"category_scores_gemma":[0.003351823,0.0002143118,0.0002701418,0.00165998,0.007219481,0.002565877,0.004553176,0.002829133,0.0001536627],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08563004,"about_ca_system_score_gemma":0.2052084,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9850577,"about_ca_topic_score_gemma":0.9956585,"domain_scores_codex":[0.9971442,0.0004929303,0.00004729651,0.0001541983,0.000932688,0.001228744],"domain_scores_gemma":[0.996632,0.0006452959,0.0001885219,0.00006758679,0.0009745654,0.001492007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001333032,0.0002517785,0.1563755,0.0004310057,0.00007355827,0.006255497,0.4558538,0.00205655,0.006379271,0.179501,0.03613232,0.1565564],"study_design_scores_gemma":[0.000005691261,0.00002681442,0.04207247,0.0001776023,0.00001416449,0.0001997099,0.8282416,0.0008562614,0.0005611422,0.006598967,0.1211832,0.00006241148],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8533503,0.001458237,0.001125443,0.07032231,0.00008282193,0.00007526466,0.0001321055,0.00002293723,0.07343066],"genre_scores_gemma":[0.9914373,0.0006912629,0.0003832323,0.001840608,0.000004738256,0.00001021393,0.00003057348,0.000008116137,0.00559414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9143699,"threshold_uncertainty_score":0.6212924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05970256262673548,"score_gpt":0.2845177940660685,"score_spread":0.224815231439333,"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."}}