{"id":"W2050901629","doi":"10.1016/j.biombioe.2010.08.055","title":"An economic assessment of the use of short-rotation coppice woody biomass to heat greenhouses in southern Canada","year":2010,"lang":"en","type":"article","venue":"Biomass and Bioenergy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Natural Resources Canada","keywords":"Short rotation coppice; Biomass (ecology); Internal rate of return; Fossil fuel; Payback period; Heat of combustion; Environmental science; Greenhouse gas; Net present value; Natural gas; Bioenergy; Silviculture; Combustion; Biofuel; Agroforestry; Waste management; Engineering; Economics; Production (economics); Agronomy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001124656,0.0001026009,0.0001350889,0.0000238693,0.00006515191,0.00003070556,0.0001718892,0.00005519142,0.00004625007],"category_scores_gemma":[0.000006168176,0.0000394856,0.00003218926,0.000193386,0.0000706611,0.00007160915,0.00007323169,0.00003942931,2.592723e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002905658,"about_ca_system_score_gemma":0.0000383663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7174425,"about_ca_topic_score_gemma":0.9729667,"domain_scores_codex":[0.9992147,0.00005068343,0.0002335741,0.0002384158,0.0001224828,0.0001401317],"domain_scores_gemma":[0.9996932,0.00002360729,0.00006072604,0.0001120101,0.00003796855,0.0000724513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001264268,0.00006671755,0.07519426,0.000007309317,0.00001125428,5.142698e-7,0.00002583933,0.00006241204,0.9078716,0.000709225,0.0002439128,0.01579429],"study_design_scores_gemma":[0.0001232974,0.0001959636,0.8483282,0.00001156078,0.0000105553,0.000001887525,0.0004825334,0.0004791515,0.09272624,0.00001735179,0.05744932,0.0001739323],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974356,0.00001236825,0.000003532455,0.00198138,0.0003070059,0.0001255727,0.00008546294,0.000009656365,0.00003939182],"genre_scores_gemma":[0.999478,0.000009350017,0.0001613832,0.000158664,0.00006994256,0.000009878274,0.00001980067,0.000001246082,0.00009172447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8151454,"threshold_uncertainty_score":0.2844391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02642123373560375,"score_gpt":0.2349923792013599,"score_spread":0.2085711454657561,"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."}}