{"id":"W2109895816","doi":"10.1139/x06-157","title":"Estimating canopy fuel characteristics in five conifer stands in the western United States using tree and stand measurements","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":145,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canopy; Crown (dentistry); Environmental science; Tree canopy; Biomass (ecology); Tree allometry; Allometry; Atmospheric sciences; Forestry; Ecology; Geography; Biomass partitioning; Geology; Biology","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":[0.0002976558,0.0001349076,0.0001362895,0.0004734265,0.0004904963,0.000235215,0.0001245014,0.00008340834,0.0003712875],"category_scores_gemma":[0.0004155314,0.00009693915,0.00005837994,0.000428005,0.0001699685,0.000144656,0.0001998606,0.0001045332,0.00005382937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004452598,"about_ca_system_score_gemma":0.0002690484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1172054,"about_ca_topic_score_gemma":0.4994894,"domain_scores_codex":[0.9998938,0.00001863413,0.000008065551,0.00002464805,0.00002935211,0.0000255536],"domain_scores_gemma":[0.9997392,0.00005596402,0.00006758628,0.00001667677,0.00007125338,0.0000492574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006778495,0.00005689798,0.9885744,0.000005733224,0.0000148472,0.00009017567,0.0003424916,0.0002769676,0.001804698,0.00002616675,0.00009341415,0.008646403],"study_design_scores_gemma":[0.00000184712,0.00003208576,0.9987679,0.000001819386,0.000005894914,0.00003670255,0.0002688904,0.0004645082,0.0002571775,0.00001071353,0.000150887,0.000001617143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997894,0.00001038595,0.00006123362,0.000001159165,2.039826e-7,0.000001619866,0.00004021743,0.000001200597,0.0000944865],"genre_scores_gemma":[0.9991105,0.00002685455,0.0004304846,0.000005159168,5.670549e-7,0.000003907197,0.000273547,8.523728e-7,0.0001480362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1172054,"threshold_uncertainty_score":0.2330464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05345678356734032,"score_gpt":0.3039516380752378,"score_spread":0.2504948545078974,"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."}}