{"id":"W4412268809","doi":"","title":"Mobilisation of agricultural residues for bioenergy and higher value bio-products:Resources, barriers and sustainability","year":2017,"lang":"en","type":"report","venue":"Research at the University of Copenhagen (University of Copenhagen)","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bioenergy; Sustainability; Agriculture; Business; Value (mathematics); Natural resource economics; Agricultural economics; Biofuel; Agroforestry; Agricultural science; Environmental science; Biotechnology; Economics; Geography; Mathematics; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002454177,0.0004205532,0.0004107189,0.001947815,0.0009257782,0.004021244,0.000817985,0.0008490647,0.002439517],"category_scores_gemma":[0.001777078,0.0001878266,0.0004213324,0.00220931,0.001359383,0.003616407,0.00263054,0.0007018169,0.0003741267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003002414,"about_ca_system_score_gemma":0.002551838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004668465,"about_ca_topic_score_gemma":0.008292668,"domain_scores_codex":[0.9988866,0.000223064,0.00005362632,0.00009402822,0.0005292092,0.0002134774],"domain_scores_gemma":[0.9988264,0.0004605417,0.0002154896,0.00006406292,0.0003696502,0.00006384555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004893901,0.0003089284,0.09179882,0.007536499,0.0002873403,0.004554893,0.007338756,0.03572351,0.03480265,0.2654915,0.005247459,0.5464202],"study_design_scores_gemma":[0.00005244325,0.001149995,0.1037509,0.007223675,0.0004100518,0.004993949,0.06762268,0.02090447,0.09161078,0.2017803,0.5002482,0.0002525649],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8096691,0.02960116,0.03339944,0.005026929,0.00007760229,0.0003320324,0.0006896554,0.00004790665,0.1211562],"genre_scores_gemma":[0.9734327,0.01039062,0.007691161,0.000141523,0.000007824768,0.00009295469,0.0002361831,0.00001831272,0.007988771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004668465,"threshold_uncertainty_score":0.02178419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04045649172331162,"score_gpt":0.2641115041834284,"score_spread":0.2236550124601168,"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."}}