{"id":"W4401321028","doi":"10.1016/j.jaap.2024.106683","title":"Microwave catalytic pyrolysis of solid digestate for high quality bio-oil and biochar","year":2024,"lang":"en","type":"article","venue":"Journal of Analytical and Applied Pyrolysis","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biochar; Pyrolysis; Digestate; Pyrolysis oil; Catalysis; Waste management; Pulp and paper industry; Environmental science; Biofuel; Chemistry; Environmental chemistry; Chemical engineering; Materials science; Organic chemistry; Methane; Anaerobic digestion; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003164284,0.0001869693,0.0005742331,0.0002331796,0.00003254524,0.00005360364,0.0001241058,0.0001112152,0.00003939719],"category_scores_gemma":[0.00004753999,0.0001432088,0.0001826457,0.0003543796,0.0001590208,0.00009454911,0.00004285745,0.0001661169,0.000004240022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002892373,"about_ca_system_score_gemma":0.00002539398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004845305,"about_ca_topic_score_gemma":0.000001505891,"domain_scores_codex":[0.9987437,0.000008808062,0.0006431333,0.0001906426,0.000205774,0.0002079647],"domain_scores_gemma":[0.999159,0.0003322389,0.0001115733,0.0001147305,0.00009430527,0.0001881906],"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":[0.0001282092,0.0000376857,0.00003350879,0.001047717,0.0008402112,0.000008107038,0.0001632951,0.00005601489,0.9563691,0.001704069,0.0006352207,0.03897683],"study_design_scores_gemma":[0.000550813,0.00007113105,0.0001264667,0.00009980518,0.0008552913,0.00002031616,0.0001868686,0.001137262,0.9920515,0.003967069,0.0007026081,0.0002309083],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942971,0.002688719,0.001946064,0.0006378379,0.00006552821,0.00003394924,0.00009752325,0.00003750076,0.0001957083],"genre_scores_gemma":[0.9984323,0.0007729323,0.0005362512,0.00003212583,0.00008439663,0.000002931765,0.000007563776,0.00002329486,0.0001082033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03874592,"threshold_uncertainty_score":0.5839887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076439332347631,"score_gpt":0.2426268853084397,"score_spread":0.2318624919849634,"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."}}