{"id":"W2022617154","doi":"10.1504/ijshc.2009.031005","title":"Biomass utilisation for energy infrastructure and applications","year":2009,"lang":"en","type":"article","venue":"International Journal of Social and Humanistic Computing","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biomass (ecology); Sustainability; Context (archaeology); Environmental science; Biofuel; Environmental resource management; Legislation; Peat; Environmental economics; Business; Environmental protection; Engineering; Waste management; Geography; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005658878,0.00005085202,0.00006867161,0.00008142674,0.00008552768,0.0000671319,0.00006548106,0.00002370858,0.000006222816],"category_scores_gemma":[0.000007115685,0.00005009118,0.00002407877,0.00002757496,0.00002298548,0.00004937601,0.00001286829,0.00002960103,1.017369e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002860216,"about_ca_system_score_gemma":0.000005198278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.534009e-7,"about_ca_topic_score_gemma":0.000002414691,"domain_scores_codex":[0.9996325,0.000003678269,0.0001735869,0.00004476451,0.00009330922,0.00005218029],"domain_scores_gemma":[0.9997514,0.00002173114,0.00007301415,0.00001450083,0.0001161375,0.00002317221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001355652,0.00001766631,0.00025571,0.00002762809,0.00008563574,0.000002231114,0.0006824674,0.0003416554,0.0009167736,0.6046171,0.001609305,0.3914303],"study_design_scores_gemma":[0.002142497,0.0001901454,0.1255653,0.00007710747,0.000103729,0.00007751006,0.0009173761,0.1221757,0.0003788675,0.151276,0.5967171,0.0003786558],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05661576,0.0003233597,0.9400418,0.0006692175,0.0004555075,0.00009080536,0.000009323761,0.00004374994,0.001750415],"genre_scores_gemma":[0.9982564,0.00002395772,0.001023332,0.000100729,0.0005676872,8.248011e-7,0.00000814655,0.00000342639,0.00001552797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9416406,"threshold_uncertainty_score":0.2042659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009191860684275393,"score_gpt":0.2494165185370538,"score_spread":0.2402246578527784,"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."}}