{"id":"W2606854174","doi":"10.1139/cjfr-2016-0457","title":"Fuel-related fire-behaviour relationships for mixed live and dead fuels burned in the laboratory","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; Fundação para a Ciência e a Tecnologia","keywords":"Environmental science; Wind speed; Fuel mass fraction; Fuel efficiency; Water content; Litter; Solid fuel; Atmospheric sciences; Meteorology; Waste management; Combustion; Engineering; Vapor lock; Chemistry; Geology; Geotechnical engineering; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005227796,0.0004358173,0.0003993071,0.0003999769,0.0001851339,0.0003351018,0.0003856347,0.0002888655,0.0009656923],"category_scores_gemma":[0.001105548,0.0002330845,0.0003873352,0.0002526635,0.0002183874,0.0002751204,0.0001816975,0.0005625238,0.0002445152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004982675,"about_ca_system_score_gemma":0.0001902389,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005193429,"about_ca_topic_score_gemma":0.007060144,"domain_scores_codex":[0.9998201,0.0000310462,0.00001355991,0.00005678024,0.0000545343,0.00002401582],"domain_scores_gemma":[0.9991035,0.0004086549,0.0001594128,0.00006471219,0.0001553925,0.0001083356],"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":[0.005409329,0.002539805,0.09822427,0.0001735501,0.000281507,0.0001609082,0.0003405358,0.01494853,0.8571451,0.0000971997,0.0001362445,0.02054312],"study_design_scores_gemma":[0.000149296,0.01368198,0.4178274,0.00002319118,0.0002474001,0.0003027627,0.0003017076,0.09366801,0.4729933,0.0002441996,0.0004741137,0.0000867234],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986709,0.00005806088,0.0009820923,0.000001935612,0.000001544086,0.00001177904,0.0001204788,0.00001571448,0.0001374969],"genre_scores_gemma":[0.9973536,0.00007821868,0.001738486,0.000008782632,0.000001425038,0.00003955897,0.0003359788,0.00001371012,0.0004303347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9948066,"threshold_uncertainty_score":0.01032645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05040818041585188,"score_gpt":0.3061485904194229,"score_spread":0.255740410003571,"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."}}