{"id":"W1987421425","doi":"10.1071/wf00019","title":"The mathematical modelling and computer simulation of wildland fire perimeter growth over a 3-dimensional surface","year":2000,"lang":"en","type":"article","venue":"International Journal of Wildland Fire","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"National Science Council","keywords":"Variable (mathematics); Constant (computer programming); Perimeter; Surface (topology); Mathematical model; Homogeneous; Computer simulation; Work (physics); Partial differential equation; Meteorology; Applied mathematics; Computer science; Mathematics; Simulation; Geometry; Mathematical analysis; Engineering; Statistics; Physics; Mechanical engineering","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":[0.0002763599,0.0004255668,0.0004249567,0.0003635442,0.0004441582,0.0009403098,0.0007019322,0.001190073,0.001118635],"category_scores_gemma":[0.001449183,0.0003441266,0.0007554765,0.0005593704,0.0009407909,0.001010473,0.0004721343,0.0006966714,0.0002101675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005038199,"about_ca_system_score_gemma":0.0006749295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006238524,"about_ca_topic_score_gemma":0.003002037,"domain_scores_codex":[0.999861,0.00003491923,0.00001046177,0.00001901082,0.000054401,0.00002025891],"domain_scores_gemma":[0.999491,0.0003238795,0.0000725302,0.00003779242,0.00005955814,0.00001517343],"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":[0.00000441876,0.000006301081,0.000250601,0.00001404075,0.000003599007,0.000041909,0.00002541463,0.9899538,0.0009843346,0.006904435,0.00007042177,0.001740726],"study_design_scores_gemma":[0.000001494174,0.000003435641,0.00007264564,0.000001493151,0.000001292481,0.00001593264,0.000005314927,0.997704,0.0002704625,0.001619222,0.0003025615,0.000002243539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1875432,0.0005592705,0.7976681,0.0005397185,0.00007598375,0.00005748779,0.0002498302,0.0003684118,0.01293804],"genre_scores_gemma":[0.900846,0.000936079,0.09338299,0.00006085287,0.00004694351,0.0001460258,0.0001835245,0.00006833467,0.004329302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006238524,"threshold_uncertainty_score":0.01240444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008019865324903494,"score_gpt":0.2282957753546574,"score_spread":0.2202759100297539,"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."}}