{"id":"W1969540035","doi":"10.1071/wf13080","title":"Numerical prediction of size, mass, temperature and trajectory of cylindrical wind-driven firebrands","year":2014,"lang":"en","type":"article","venue":"International Journal of Wildland Fire","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Trajectory; Mechanics; Rotation (mathematics); Mathematical model; Oscillation (cell signaling); Meteorology; Wind speed; Orientation (vector space); Mathematics; Physics; Classical mechanics; Geometry; Statistics; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002871381,0.0003249014,0.0003216079,0.000242979,0.0002781405,0.0003947491,0.00051259,0.0007161737,0.000552904],"category_scores_gemma":[0.001139469,0.0002182002,0.0003228872,0.0002062499,0.0005441788,0.0003942115,0.0002452046,0.0003257786,0.00008033882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000511274,"about_ca_system_score_gemma":0.0006220017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006432111,"about_ca_topic_score_gemma":0.004029899,"domain_scores_codex":[0.9999511,0.000008602668,0.000003189706,0.000009958145,0.00001582427,0.00001126336],"domain_scores_gemma":[0.9995871,0.0002054006,0.00007845885,0.00002578423,0.00006371236,0.00003958013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000350411,0.00002001604,0.001841979,0.00001651163,0.000003805394,0.00005115375,0.00002992912,0.9881373,0.006801511,0.001384434,0.00003787033,0.001640386],"study_design_scores_gemma":[0.000002117933,0.000009344543,0.0002319955,8.584734e-7,6.450059e-7,0.000004244857,0.000004648278,0.9989316,0.0007221864,0.00006983981,0.00002086765,0.000001619545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8878381,0.00006419616,0.1097117,0.0000523776,0.00002036731,0.00004193789,0.00009062664,0.0001076744,0.002073023],"genre_scores_gemma":[0.9838369,0.00004459862,0.01534657,0.000004593468,0.00000284411,0.00002810065,0.00006001703,0.00000963586,0.0006668082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006432111,"threshold_uncertainty_score":0.01278937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003588649984434988,"score_gpt":0.1986016811531642,"score_spread":0.1950130311687292,"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."}}