{"id":"W2058564009","doi":"10.1071/wf04038","title":"An index for tracking sheltered forest floor moisture within the Canadian Forest Fire Weather Index System","year":2005,"lang":"en","type":"article","venue":"International Journal of Wildland Fire","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Throughfall; Environmental science; Forest floor; Water content; Canopy; Hydrology (agriculture); Moisture; Leaf area index; Forestry; Meteorology; Geography; Ecology; Soil science; Geology; Soil water","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004175142,0.0006162798,0.000316278,0.002326285,0.0008085284,0.0006736986,0.0008259011,0.0001888749,0.002263023],"category_scores_gemma":[0.001275556,0.0001562444,0.0002749405,0.002341406,0.0001610143,0.0003689154,0.0004657189,0.0003507775,0.0004511205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005630972,"about_ca_system_score_gemma":0.003945604,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8770437,"about_ca_topic_score_gemma":0.9423346,"domain_scores_codex":[0.9995884,0.0000164082,0.00001751599,0.00005904138,0.0002616798,0.00005690194],"domain_scores_gemma":[0.9992228,0.0000304133,0.00009822696,0.00002908907,0.0005417465,0.00007769939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002466238,0.0001438908,0.7989925,0.0002050266,0.0002596836,0.0001072517,0.0004313573,0.01261376,0.01186197,0.001818642,0.02247899,0.1508405],"study_design_scores_gemma":[0.00001178617,0.00003147664,0.9506348,0.00002153054,0.00003537654,0.00007706304,0.0001482008,0.03490246,0.002001382,0.0001860351,0.01190661,0.00004310043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.837015,0.001270598,0.04692196,0.0001925315,0.0001452809,0.001194447,0.06366124,0.002271256,0.04732771],"genre_scores_gemma":[0.9340466,0.0005097805,0.03421577,0.00005001841,0.00001580698,0.0003184496,0.02299975,0.00009160702,0.007752184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1229563,"threshold_uncertainty_score":0.2473609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007526971956038356,"score_gpt":0.2298364363352047,"score_spread":0.2223094643791663,"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."}}