{"id":"W4362497402","doi":"10.56726/irjmets34729","title":"DESIGN AND OPTIMIZATION OF CHARCOAL ECONOMY ENERGY EFFICIENT STOVE","year":2023,"lang":"en","type":"article","venue":"International Research Journal of Modernization in Engineering Technology and Science","topic":"Biodiesel Production and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Manitoba","funders":"","keywords":"Stove; Charcoal; Architectural engineering; Environmental science; Waste management; Business; Engineering; Materials science; Metallurgy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002227627,0.000419373,0.0005499437,0.0006547902,0.0003421956,0.0008901631,0.0006445831,0.0005673741,0.00209405],"category_scores_gemma":[0.0002463059,0.000302724,0.0005359021,0.0004319934,0.0001664792,0.0003640583,0.0003501429,0.0001979412,0.0004928898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00030408,"about_ca_system_score_gemma":0.0004542103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001090737,"about_ca_topic_score_gemma":0.001815641,"domain_scores_codex":[0.9998271,0.00002263846,0.00001021791,0.00003501165,0.00007467983,0.00003035859],"domain_scores_gemma":[0.9999133,0.00001478794,0.00001588292,0.00000691167,0.00004108867,0.00000803992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004364917,0.0003397584,0.005578726,0.001139121,0.000104117,0.0005760965,0.0001365693,0.569702,0.3231024,0.004008411,0.001745832,0.09313043],"study_design_scores_gemma":[0.00007391252,0.0009016427,0.008065615,0.00006923754,0.0001468713,0.0003198893,0.0002249528,0.860158,0.1128145,0.001176821,0.01599931,0.00004904136],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6334035,0.002228331,0.3311179,0.0001925765,0.0001185899,0.0003191947,0.0004673139,0.0006665793,0.03148595],"genre_scores_gemma":[0.9507166,0.0005175247,0.04201524,0.00002251994,0.000007677773,0.0001595805,0.0001922717,0.00005539454,0.006313156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00209405,"threshold_uncertainty_score":0.007005334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03358358195552224,"score_gpt":0.2955577406299534,"score_spread":0.2619741586744312,"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."}}