{"id":"W4295235047","doi":"10.1186/s13595-022-01151-x","title":"Classification of forest fuels in selected fire-prone ecosystems of Alberta, Canada—implications for crown fire behaviour prediction and fuel management","year":2022,"lang":"en","type":"article","venue":"Annals of Forest Science","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Ministry of Economic Development and Trade, Government of Alberta; Alberta Agriculture and Forestry","keywords":"Context (archaeology); Environmental science; Fuel efficiency; Vegetation (pathology); Crown (dentistry); Fire regime; Forestry; Ecosystem; Geography; Ecology; Engineering; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000536201,0.0003578289,0.0002235278,0.001530398,0.001239833,0.001136205,0.0007330609,0.0001794915,0.001241912],"category_scores_gemma":[0.001126244,0.0001167213,0.0002963496,0.002121438,0.0004375535,0.0002242917,0.0004319466,0.0002152899,0.0001574426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01664574,"about_ca_system_score_gemma":0.01047734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9833314,"about_ca_topic_score_gemma":0.9930791,"domain_scores_codex":[0.9997019,0.00002804988,0.00001529112,0.00006195437,0.0001191842,0.00007364451],"domain_scores_gemma":[0.9993773,0.00008712267,0.00008778839,0.00002446996,0.00033089,0.00009246941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002691947,0.00004580526,0.928924,0.0001281776,0.0000833052,0.00009794628,0.001150222,0.006423137,0.003249731,0.0004516536,0.001473751,0.05770308],"study_design_scores_gemma":[0.000004560936,0.00001907288,0.9879723,0.00003648507,0.00002048919,0.00002774833,0.001783102,0.008225011,0.0004718951,0.0001566529,0.001269969,0.00001279462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934199,0.0003514366,0.001294314,0.0000842545,0.000004696646,0.00004820408,0.002653491,0.0000363655,0.002107297],"genre_scores_gemma":[0.9925926,0.0001926131,0.00327821,0.00002468647,0.000001763108,0.00001827712,0.002672747,0.000007903692,0.001211028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01666856,"threshold_uncertainty_score":0.1207739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915696104044593,"score_gpt":0.2507319305793196,"score_spread":0.2315749695388737,"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."}}