{"id":"W2068765477","doi":"10.1139/cjfr-2014-0205","title":"Bioenergy potential from wood residuals in Alberta: a positive mathematical programming approach","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Canadian Sport Centre Pacific; Canadian Forest Service","funders":"","keywords":"Bioenergy; Raw material; Biomass (ecology); Environmental science; Wood processing; Sector model; Marginal cost; Natural resource economics; Agricultural engineering; Agriculture; Business; Biofuel; Agroforestry; Waste management; Engineering; Forestry; Economics; Ecology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001252259,0.001114569,0.00069609,0.00118751,0.0008298438,0.002283262,0.001506239,0.001331262,0.003525396],"category_scores_gemma":[0.002193135,0.0007484655,0.0009624743,0.001054341,0.001443691,0.0008234386,0.001079375,0.001490953,0.0001755222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008414771,"about_ca_system_score_gemma":0.008330273,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3755342,"about_ca_topic_score_gemma":0.3912302,"domain_scores_codex":[0.9997345,0.00009087271,0.000006707403,0.00002805933,0.00006201184,0.00007797352],"domain_scores_gemma":[0.9988567,0.0008870853,0.00007755442,0.00001428374,0.0001158305,0.00004861473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001511266,0.00001996237,0.0006307813,0.00002554495,0.000007682965,0.00006493729,0.00001709225,0.9798352,0.0001481951,0.01678881,0.0005893476,0.001857358],"study_design_scores_gemma":[0.000005619133,0.000009707177,0.0002572539,0.00001095821,0.000009099328,0.000009338399,0.00004434602,0.9908879,0.00007152577,0.007984205,0.000702537,0.00000742434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4249927,0.003244805,0.4457534,0.006120872,0.0001469163,0.0002676827,0.002197523,0.0002940593,0.116982],"genre_scores_gemma":[0.9220996,0.001869955,0.04267121,0.0003307791,0.00006057724,0.0001819834,0.0005561772,0.00007044286,0.03215928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6244658,"threshold_uncertainty_score":0.7466967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984895207024451,"score_gpt":0.2575391504961594,"score_spread":0.2376901984259149,"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."}}