{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009720679,0.00004419627,0.00007129117,0.002272945,0.00004704485,0.00002406297,0.0002087418,0.00004755312,0.000004022143],"category_scores_gemma":[0.0002760984,0.00004465644,0.000006486137,0.001322779,0.0002390195,0.0001537997,0.00006115529,0.0001587337,5.69363e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005672046,"about_ca_system_score_gemma":0.00004036853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.95165e-7,"about_ca_topic_score_gemma":1.502392e-7,"domain_scores_codex":[0.9993661,0.000009721036,0.0002019231,0.00009456569,0.0002064238,0.0001212357],"domain_scores_gemma":[0.9994311,0.00007114896,0.00003666527,0.00006194458,0.0003647072,0.00003446772],"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":[0.000003296657,0.000007523511,0.0002149009,0.000009052787,0.000005068039,8.414432e-7,0.00007954595,0.9696271,0.008466629,0.01958246,0.0000240478,0.00197958],"study_design_scores_gemma":[0.0001196074,0.0000190414,0.0003354092,0.00002838359,7.176523e-7,0.00002209807,0.00005240418,0.9866177,0.01065195,0.00182378,0.0002939049,0.00003500182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1112972,0.0001892753,0.8873975,0.0008395347,0.0001071315,0.00004969566,9.429946e-7,0.00004385304,0.0000748846],"genre_scores_gemma":[0.9897429,0.0006523968,0.00956218,0.000001923981,0.00001664609,0.000007392033,7.191087e-7,0.00000451506,0.00001130064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8784457,"threshold_uncertainty_score":0.2028125,"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."}}