{"id":"W2101682481","doi":"10.5558/tfc2014-128","title":"Economic consequences of increased bioenergy demand","year":2014,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Renewable energy; Wood fuel; Pellets; Environmental science; Bioenergy; Natural resource economics; Fossil fuel; Electricity; Biomass (ecology); Business; Economics; Waste management; Engineering; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001224841,0.00005528851,0.00006772888,0.00001610311,0.00003519794,0.000007170369,0.0001172478,0.00003579728,0.0001458012],"category_scores_gemma":[0.000004855609,0.00003804656,0.00002803777,0.00002936469,0.0001613675,0.0000424832,0.00001619695,0.00004562077,0.0000586699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003132093,"about_ca_system_score_gemma":0.00001768959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001593954,"about_ca_topic_score_gemma":0.00001817203,"domain_scores_codex":[0.999687,0.00001900008,0.0000954252,0.0000663969,0.00003557379,0.00009657888],"domain_scores_gemma":[0.9997578,0.00001973495,0.0000220977,0.0001688474,0.000005641517,0.0000258772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009433415,0.00006060518,0.01639673,0.0006331299,0.0001900827,0.000001584769,0.0003188325,0.09236418,0.8352228,0.01895504,0.02414762,0.0116151],"study_design_scores_gemma":[0.0005618367,0.00007992062,0.006359459,0.00001896053,0.00001681018,0.00001556977,0.00005931391,0.07120141,0.8817562,0.002323797,0.03745408,0.0001526267],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971324,0.0003065377,0.0001842135,0.0002545543,0.0002150036,0.00004219878,0.00000383847,0.00007166029,0.001789618],"genre_scores_gemma":[0.9996884,0.00006419121,0.00004456037,0.00003289079,0.0001149742,0.000002033049,0.000002971959,0.000006383551,0.00004361402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04653345,"threshold_uncertainty_score":0.1596421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008290610641315666,"score_gpt":0.1987890093645411,"score_spread":0.1904983987232254,"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."}}