{"id":"W4361306891","doi":"10.1016/j.joei.2023.101242","title":"Assessment of pine wood biomass wastes valorization by pyrolysis with focus on fast pyrolysis biochar production","year":2023,"lang":"en","type":"article","venue":"Journal of the Energy Institute","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Horizon 2020; University of the East; Euskal Herriko Unibertsitatea; European Regional Development Fund; Eusko Jaurlaritza; Ministry of Communications and Information, Singapore; H2020 Marie Skłodowska-Curie Actions; Ministère de l'Enseignement Supérieur, de la Recherche, de la Science et de la Technologie; Ministère de l’Enseignement Supérieur et de la Recherche Scientifique","keywords":"Biochar; Pyrolysis; Biomass (ecology); Pulp and paper industry; Waste management; Environmental science; Pine wood; Charcoal; Yield (engineering); Chemistry; Agronomy; Materials science; Botany; Engineering; Biology; Organic chemistry; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003117126,0.0004090097,0.0002651603,0.0003973803,0.0002703709,0.0006468457,0.0001906229,0.0003782164,0.0007043355],"category_scores_gemma":[0.0001896541,0.0001489058,0.0003988789,0.0002888674,0.0001610549,0.0003146119,0.0002335559,0.0002591355,0.0001344027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003573322,"about_ca_system_score_gemma":0.0003645789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002346111,"about_ca_topic_score_gemma":0.005116061,"domain_scores_codex":[0.9997357,0.00003167243,0.00001512894,0.00003976658,0.0001256343,0.00005209034],"domain_scores_gemma":[0.9999068,0.00002397122,0.00001556537,0.000005598703,0.00003705544,0.0000109656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000347756,0.00004407277,0.005543747,0.0001026319,0.00002773666,0.00008627441,0.00003177777,0.001647448,0.9838033,0.0001261689,0.00002436635,0.008214646],"study_design_scores_gemma":[0.000005656288,0.0003671145,0.02108893,0.000009644222,0.00004382588,0.00006315635,0.00009942277,0.002700041,0.9747998,0.00008961111,0.0007271106,0.000005735162],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955716,0.0008619499,0.001776353,0.00001075582,0.000006854888,0.00001973011,0.0001353399,0.00001307508,0.001604165],"genre_scores_gemma":[0.9978259,0.0004392791,0.0007131564,0.000008243886,0.000001827229,0.000007651269,0.00009146326,0.000004786965,0.0009076534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002346111,"threshold_uncertainty_score":0.004664898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006877818176615151,"score_gpt":0.2057557285700756,"score_spread":0.1988779103934605,"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."}}