{"id":"W4388704231","doi":"10.1002/cjce.25116","title":"Tar removal from the producer gas of a small scale downdraft gasifier using a fatty acid based, wet packed‐bed scrubber","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"H2020 Energy; Office of Energy Research and Development; National Research Council Canada","keywords":"Wood gas generator; tar (computing); Waste management; Scrubber; Woodchips; Environmental science; Pulp and paper industry; Moisture; Producer gas; Packed bed; Diesel fuel; Chemistry; Combustion; Fuel gas; Engineering; Chromatography; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001104364,0.0003544183,0.0003664821,0.0002045289,0.0001856549,0.0002530384,0.0003406831,0.0002199255,0.001049871],"category_scores_gemma":[0.00008169653,0.0001349888,0.0003589302,0.0001423268,0.0001034105,0.000239975,0.0001463307,0.0002496687,0.0003461686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000162464,"about_ca_system_score_gemma":0.0001708938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00260319,"about_ca_topic_score_gemma":0.005492284,"domain_scores_codex":[0.9999074,0.00000969825,0.000005245713,0.0000244927,0.00003661206,0.00001661421],"domain_scores_gemma":[0.9999374,0.00001436368,0.00001372597,0.000006387065,0.00001735471,0.00001072698],"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":[0.0001176351,0.00003813808,0.0003384938,0.00004348135,0.000007497604,0.0000333781,0.00001104542,0.0001428347,0.996876,0.000007713958,0.00002617063,0.002357531],"study_design_scores_gemma":[0.000007920507,0.000363331,0.004535862,0.000002502678,0.00001923857,0.0000486852,0.00002048378,0.001409805,0.9931802,0.000003153771,0.000404813,0.000004150051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962883,0.0001989725,0.002922119,0.00001226624,0.000008375345,0.00001604697,0.00009480075,0.00008190952,0.0003772415],"genre_scores_gemma":[0.9909971,0.000217489,0.006062651,0.00002145848,0.000004377795,0.00001719236,0.0002494028,0.00003264839,0.002397721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00260319,"threshold_uncertainty_score":0.005176067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506675558675634,"score_gpt":0.1867512170102632,"score_spread":0.1716844614235069,"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."}}