{"id":"W7162001622","doi":"10.82308/46690","title":"Pyrolysis of Miscanthus: process optimization and life cycle assessment","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pyrolysis; Mashing; Sugar industry; Distillation","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":[0.000586762,0.0005152885,0.0004511743,0.0004975038,0.0003069405,0.0005204173,0.0003266926,0.0003819972,0.0007637114],"category_scores_gemma":[0.000526999,0.0001525487,0.000658926,0.0006997322,0.0001355964,0.0003407134,0.0002410902,0.000313357,0.000142722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009141071,"about_ca_system_score_gemma":0.0006791811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009361438,"about_ca_topic_score_gemma":0.0132789,"domain_scores_codex":[0.9998247,0.00002717977,0.00001207006,0.00003583459,0.0000777634,0.00002261107],"domain_scores_gemma":[0.999798,0.00007494226,0.00003278509,0.00001334917,0.00006748114,0.00001350449],"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":[0.001518048,0.0005182339,0.01520094,0.001241352,0.0001387638,0.0002874544,0.000186812,0.3707655,0.4967928,0.001124721,0.0003223828,0.111903],"study_design_scores_gemma":[0.00006021931,0.003430638,0.02160218,0.0000439451,0.0001781514,0.0001763937,0.0001649546,0.3985247,0.5691737,0.0006744831,0.00591217,0.00005833228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789495,0.002851931,0.01469455,0.00006952404,0.00001184712,0.0001088029,0.000706498,0.0000726933,0.002534611],"genre_scores_gemma":[0.9816534,0.002002235,0.01336864,0.00001363181,0.000003330916,0.0001021027,0.0005546554,0.00001985794,0.002282206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009361438,"threshold_uncertainty_score":0.01861393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004221070210993885,"score_gpt":0.2376667155705024,"score_spread":0.2334456453595085,"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."}}