{"id":"W4283640142","doi":"10.3390/pr10071270","title":"Gasification of Biomass: The Very Sensitive Monitoring of Tar in Syngas by the Determination of the Oxygen Demand—A Proof of Concept","year":2022,"lang":"en","type":"article","venue":"Processes","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Interreg","keywords":"Syngas; tar (computing); Wood gas generator; Combustion; Chemistry; Analytical Chemistry (journal); Environmental science; Materials science; Process engineering; Hydrogen; Chromatography; Organic chemistry; Computer science","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":[0.0005655643,0.0009362967,0.0004833205,0.0003472029,0.0001576978,0.0003899384,0.001106596,0.00087511,0.0004504723],"category_scores_gemma":[0.0002622876,0.0003383726,0.0003145045,0.0001909224,0.0005047801,0.0006703917,0.0005944051,0.001077007,0.0004460801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002920592,"about_ca_system_score_gemma":0.0002741356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000279521,"about_ca_topic_score_gemma":0.0003556215,"domain_scores_codex":[0.9995553,0.00004311473,0.00001589218,0.0001472646,0.0001894942,0.0000490257],"domain_scores_gemma":[0.999843,0.00003242283,0.00003932527,0.000017609,0.00004115927,0.00002643139],"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":[0.0000304874,0.00001840108,0.00005570499,0.0000634374,0.000005460899,0.00004265042,0.00001534519,0.00005432457,0.9965518,0.0001419509,0.00005178973,0.002968655],"study_design_scores_gemma":[0.00001285795,0.0002758755,0.0005185948,0.00000639923,0.00001080742,0.000277297,0.00001949182,0.001899376,0.9939858,0.00009820831,0.002877836,0.0000174464],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6349862,0.005836579,0.3528551,0.0005714069,0.0005512519,0.0005682603,0.0008716604,0.001041254,0.002718262],"genre_scores_gemma":[0.8481088,0.003138659,0.1445074,0.0002315991,0.0001120693,0.0004178799,0.0006339612,0.00007651347,0.002773279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001106596,"threshold_uncertainty_score":0.002991021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009759586854612947,"score_gpt":0.2106834958374203,"score_spread":0.2009239089828074,"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."}}