{"id":"W4405354680","doi":"10.1016/j.enconman.2024.119372","title":"Modeling of a heat-integrated biomass downdraft gasifier: Estimating key model parameters using experimental data","year":2024,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":5,"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":"Key (lock); Wood gas generator; Environmental science; Biomass (ecology); Process engineering; Engineering; Waste management; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000572632,0.001124437,0.001030347,0.0003432237,0.0005939861,0.001017815,0.00132958,0.001263759,0.001333661],"category_scores_gemma":[0.0009452614,0.0005815723,0.0008718885,0.0003968044,0.0005338697,0.0008904613,0.0004344845,0.001029982,0.0002071038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528565,"about_ca_system_score_gemma":0.001237031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06258888,"about_ca_topic_score_gemma":0.03062219,"domain_scores_codex":[0.9998417,0.00002813654,0.00001022584,0.00005483791,0.00003822342,0.00002684078],"domain_scores_gemma":[0.9995775,0.0002542687,0.00004503489,0.0000287814,0.00007721718,0.00001724385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009177165,0.0000533276,0.002146156,0.00004793877,0.00001593115,0.00004049462,0.00002441885,0.988929,0.006988271,0.000114282,0.00003549617,0.001512907],"study_design_scores_gemma":[0.00001511123,0.00005903914,0.001111928,0.00000368672,0.00001372119,0.000004946394,0.00001721696,0.9939307,0.004680551,0.00007025207,0.00008459175,0.000008259606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641166,0.0001875375,0.0326321,0.0001161486,0.00001072157,0.0001142762,0.0006671851,0.0002359968,0.001919457],"genre_scores_gemma":[0.9915373,0.0001093399,0.00686877,0.00001451166,0.000001437456,0.0001164361,0.0004053177,0.00001897851,0.0009279855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06258888,"threshold_uncertainty_score":0.1244491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03135480818430432,"score_gpt":0.2485194991531568,"score_spread":0.2171646909688525,"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."}}