{"id":"W2753972026","doi":"10.1088/1748-9326/aa804f","title":"A user-centered, iterative engineering approach for advanced biomass cookstove design and development","year":2017,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Wellcome Trust","keywords":"Stove; Wood gas generator; Indoor air quality; Environmental science; Biomass (ecology); Environmental economics; Waste management; Architectural engineering; Engineering; Environmental engineering; Economics","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":[0.007549009,0.001671509,0.0005723466,0.001607756,0.001515265,0.003022012,0.002979443,0.001399209,0.004057281],"category_scores_gemma":[0.008514805,0.0009378323,0.001142397,0.0006462449,0.002202864,0.002380571,0.004014314,0.001837864,0.001051249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457055,"about_ca_system_score_gemma":0.004746599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002486711,"about_ca_topic_score_gemma":0.005336382,"domain_scores_codex":[0.9944361,0.003266434,0.000252869,0.0005555741,0.00122476,0.0002641604],"domain_scores_gemma":[0.9955159,0.002210796,0.0002485055,0.0005043049,0.001194139,0.0003264039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004298069,0.002102129,0.01109454,0.002255939,0.0002352028,0.001778244,0.04905128,0.1497161,0.07629236,0.1325403,0.009008732,0.5654954],"study_design_scores_gemma":[0.0003692801,0.002880776,0.005113109,0.001511261,0.000321297,0.001823427,0.02164934,0.4800316,0.04068983,0.1355948,0.3096394,0.0003758005],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0180927,0.0001805226,0.9704633,0.0003351791,0.00002720868,0.0008873082,0.000034904,0.00067322,0.009305608],"genre_scores_gemma":[0.07632967,0.0001665056,0.9192634,0.0001074348,0.000008006918,0.0009386254,0.0001002134,0.0001179221,0.002968322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007549009,"threshold_uncertainty_score":0.03992343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05490793924662229,"score_gpt":0.286609976089948,"score_spread":0.2317020368433257,"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."}}