{"id":"W1674634064","doi":"","title":"Incorporating solar radiation into the litter moisture model in the Canadian Forest Fire Danger Rating System","year":2010,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental science; Water content; Canopy; Moisture; Litter; Meteorology; Atmospheric sciences; Geography; Ecology; Engineering; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001831892,0.0002803149,0.0002072936,0.0000477889,0.00070179,0.0005094853,0.000839181,0.0002455417,0.00003761167],"category_scores_gemma":[0.0001676541,0.0001774487,0.00006111708,0.0002558319,0.0001076525,0.0005553138,0.00009420214,0.000875112,0.0003553441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004075115,"about_ca_system_score_gemma":0.0002092482,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4848759,"about_ca_topic_score_gemma":0.9320236,"domain_scores_codex":[0.9977772,0.0002282531,0.0004682205,0.0004386297,0.0005478626,0.0005398917],"domain_scores_gemma":[0.9987415,0.0001563103,0.0002875058,0.0005997281,0.00003413054,0.0001808437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002551074,0.0001527018,0.3202484,0.0001731809,0.00004888616,0.0002518025,0.03294682,0.3149672,0.2210565,0.005869647,0.008416974,0.0958423],"study_design_scores_gemma":[0.0001791898,0.00002684452,0.3185074,0.00004396934,0.00001034697,0.00002485501,0.0004152649,0.6782154,0.001091789,0.0002927413,0.0009106744,0.0002815222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869068,0.00001603275,0.0001048907,0.003019397,0.0004159533,0.0007123478,0.000005862009,0.00004174479,0.008776949],"genre_scores_gemma":[0.9976215,0.000001072379,0.0008992868,0.0008305417,0.0002828953,0.0001477513,0.00003322202,0.00002634126,0.0001574411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4471478,"threshold_uncertainty_score":0.7236149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001316678581779,"score_gpt":0.2161228908983598,"score_spread":0.2061097241125421,"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."}}