{"id":"W2073506942","doi":"10.1016/j.energy.2014.01.092","title":"The effects of variations in supply accessibility and amount on the economics of using regional forest biomass for generating district heat","year":2014,"lang":"en","type":"article","venue":"Energy","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biomass (ecology); Environmental science; Supply chain; Economic shortage; Supply and demand; Logging; Business; Forestry; Economics; Ecology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001824443,0.0001796078,0.000323116,0.0004442624,0.0005088178,0.001903825,0.0007179956,0.000761861,0.01265678],"category_scores_gemma":[0.0115056,0.0003983342,0.0007245982,0.0007427647,0.00134493,0.001543371,0.0009506762,0.001158383,0.0003421864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002345683,"about_ca_system_score_gemma":0.0006714768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01328552,"about_ca_topic_score_gemma":0.03127296,"domain_scores_codex":[0.998596,0.0009034507,0.00004531064,0.00009463049,0.00009047202,0.0002700256],"domain_scores_gemma":[0.9724013,0.02388285,0.001834961,0.0004598658,0.0005577691,0.0008632852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01655034,0.003589517,0.5027996,0.0003378491,0.000822091,0.003448541,0.001355439,0.3623381,0.01891136,0.05290911,0.00234996,0.03458819],"study_design_scores_gemma":[0.0005892623,0.002797446,0.7946399,0.00005160075,0.0005908745,0.0006199947,0.007809279,0.1473655,0.007019101,0.03406038,0.004319042,0.0001376016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932934,0.0001137312,0.0009570485,0.0002860958,0.000007719102,0.0000184945,0.0001812818,0.000005806049,0.005136455],"genre_scores_gemma":[0.998976,0.00004418392,0.0001180823,0.00001277329,0.000005220275,0.000005910317,0.00003505344,0.000003132869,0.0007997155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01328552,"threshold_uncertainty_score":0.04234111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01098088767137343,"score_gpt":0.2123182630485622,"score_spread":0.2013373753771887,"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."}}