{"id":"W4400142800","doi":"10.1016/j.biombioe.2024.107282","title":"Modeling of a heat-integrated biomass downdraft gasifier: Influence of feed moisture and air flow","year":2024,"lang":"en","type":"article","venue":"Biomass and Bioenergy","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; National Research Council Canada; Queen's University","funders":"Natural Resources Canada; National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Wood gas generator; Moisture; Biomass (ecology); Environmental science; Combustion; Heat of combustion; Gas composition; Mechanics; Process engineering; Nuclear engineering; Waste management; Thermodynamics; Chemistry; Engineering; Meteorology; Physics; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007493164,0.0002172251,0.0002833221,0.000190195,0.00002621164,0.00002766774,0.0001226451,0.0001837862,0.00001387836],"category_scores_gemma":[0.00001807281,0.0001708249,0.00005852361,0.0004765693,0.0001328119,0.0001243575,0.00006446709,0.00007367285,0.000001194954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002139679,"about_ca_system_score_gemma":0.0000303223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005284824,"about_ca_topic_score_gemma":0.00003527792,"domain_scores_codex":[0.999054,0.00001262588,0.0003137003,0.0002709192,0.0001473839,0.0002013784],"domain_scores_gemma":[0.9995938,0.00003955609,0.0000195814,0.0001566787,0.00008755196,0.0001028543],"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":[0.00002742199,0.00001421114,0.0001671966,0.0009803688,0.00009789418,0.000009732459,0.00009608339,0.001846358,0.9931716,0.0002124846,0.00006384349,0.003312804],"study_design_scores_gemma":[0.0002358253,0.00005756024,0.0002262126,0.0002947422,0.0000373259,0.00001806875,0.00009775074,0.174914,0.8228444,0.0001613583,0.0008967412,0.0002159377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888263,0.009629107,0.0008403941,0.0001229038,0.0001074333,0.00006271699,0.00008779905,0.000200881,0.0001224163],"genre_scores_gemma":[0.9987363,0.0004586564,0.0006917441,0.00001438725,0.00002304125,0.000006406555,0.00002165593,0.00002592534,0.00002186933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1730677,"threshold_uncertainty_score":0.696604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006071062457264687,"score_gpt":0.1931445940042833,"score_spread":0.1870735315470186,"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."}}