{"id":"W2769974087","doi":"10.7451/cbe.2017.59.8.11","title":"Factors affecting the utilization of lignocellulosic biomass; compaction, handling and storage, and monetary value – a review.","year":2017,"lang":"en","type":"article","venue":"Canadian Biosystems Engineering","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biomass (ecology); Incentive; Lignocellulosic biomass; Environmental science; Renewable energy; Fossil fuel; Bioenergy; Natural resource economics; Waste management; Biofuel; Economics; Engineering; Agronomy; Microeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002068962,0.0001597617,0.0002008424,0.0001668586,0.000226067,0.00009397731,0.0001244975,0.00005603551,0.000003682421],"category_scores_gemma":[0.0000744822,0.0001333133,0.00002894184,0.0001082698,0.00003416076,0.0001414484,0.00002412594,0.00006638941,7.819347e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000740574,"about_ca_system_score_gemma":0.00001403176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00499319,"about_ca_topic_score_gemma":0.007559919,"domain_scores_codex":[0.9993655,0.00001383791,0.0002036485,0.0001342348,0.00008777375,0.0001950054],"domain_scores_gemma":[0.9994233,0.00003027215,0.00007025447,0.0002853394,0.0000277309,0.0001630501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001552007,0.00006634906,0.5065981,0.1257735,0.002870569,0.0001246262,0.009989506,0.1467386,0.1388538,0.02203894,0.0233366,0.02359388],"study_design_scores_gemma":[0.0005526524,0.0000467031,0.3218745,0.005120513,0.0001973812,0.00002907193,0.0006631916,0.6251578,0.01530155,0.00001088869,0.03022908,0.0008166624],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745075,0.02015932,0.003143226,0.0001196472,0.000739719,0.0005440289,0.00002415246,0.0001332122,0.00062922],"genre_scores_gemma":[0.9988222,0.001023818,0.00003674157,0.00001465958,0.00003933951,0.000005137661,0.00001226266,0.00002748046,0.00001839591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4784193,"threshold_uncertainty_score":0.7548243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02703693568822092,"score_gpt":0.2228079776340355,"score_spread":0.1957710419458146,"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."}}