{"id":"W2955051754","doi":"10.1007/s13399-019-00442-0","title":"Analysis of the performance of an integrated small-scale biomass gasification system in a Canadian context","year":2019,"lang":"en","type":"article","venue":"Biomass Conversion and Biorefinery","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Raw material; Biomass (ecology); Context (archaeology); Wood gas generator; Heat of combustion; Process engineering; Environmental science; Renewable energy; Bioenergy; Waste management; Scale (ratio); Biofuel; Engineering; Combustion; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001881431,0.0001521576,0.0003202526,0.0006103953,0.00002623439,0.00001090741,0.0002556331,0.0001609308,0.00006048107],"category_scores_gemma":[0.000008821308,0.0001108667,0.00008608798,0.001610669,0.00009931938,0.00009608721,0.00003567884,0.00007042099,0.000007540182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001438819,"about_ca_system_score_gemma":0.00008124213,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02125984,"about_ca_topic_score_gemma":0.01530819,"domain_scores_codex":[0.9990577,0.00003805587,0.0003413723,0.0002138503,0.0001385728,0.0002104485],"domain_scores_gemma":[0.9993185,0.00003484266,0.0001037923,0.0003244107,0.00009000352,0.0001284266],"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":[0.00003666423,0.00001886925,0.2279003,0.0005155692,0.0001014116,7.811737e-7,0.0001152109,0.000009145115,0.7689075,0.00002675008,0.00001610273,0.002351692],"study_design_scores_gemma":[0.0004848701,0.00004938383,0.1363343,0.0001383452,0.0001239833,0.000002204411,0.0009442955,0.03898151,0.8221508,2.908863e-7,0.0006174803,0.0001726014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991579,0.0001654147,0.000003024568,0.00003857419,0.0001734374,0.000170954,0.00007566491,0.00004700007,0.0001680383],"genre_scores_gemma":[0.9998134,0.0000202467,0.00003796718,0.0000167622,0.000004049986,0.000004383882,0.00005412105,0.00001176269,0.00003732516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09156605,"threshold_uncertainty_score":0.9852577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006813262633085872,"score_gpt":0.1773682308226081,"score_spread":0.1705549681895222,"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."}}