{"id":"W2992909639","doi":"10.3390/fire2040060","title":"Measuring Initial Attack Suppression Effectiveness through Burn Probability","year":2019,"lang":"en","type":"article","venue":"Fire","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Parks Canada","funders":"Canadian Forest Service; U.S. Forest Service; Parks Canada","keywords":"Crew; Containment (computer programming); National park; Environmental science; Conditional probability; Statistics; Environmental resource management; Computer science; Geography; Engineering; Mathematics; Aeronautics","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":[0.002023334,0.0003168726,0.0002828923,0.0008838894,0.0002404069,0.0005450168,0.0004159636,0.000199503,0.0008203533],"category_scores_gemma":[0.004839596,0.0001424996,0.0003145792,0.0007336487,0.0003247812,0.0005268967,0.0004888165,0.0003875406,0.0001296439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003660584,"about_ca_system_score_gemma":0.0003000889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004966589,"about_ca_topic_score_gemma":0.01220396,"domain_scores_codex":[0.9985132,0.0006726275,0.0001031592,0.000234033,0.0004029629,0.00007400819],"domain_scores_gemma":[0.9958483,0.002444549,0.0009693718,0.0002817793,0.0003402319,0.0001157193],"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":[0.0004070476,0.0003060035,0.9073838,0.000100757,0.0003845926,0.0000355118,0.000395841,0.0233721,0.01418762,0.0007351942,0.0002562491,0.05243532],"study_design_scores_gemma":[0.00001611573,0.0006798444,0.9527158,0.00001711347,0.0001205536,0.00009015494,0.0003166637,0.03390707,0.01059232,0.0007582149,0.0007638311,0.00002247996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761108,0.0001168697,0.02063981,0.00001446054,0.000003869774,0.0000715729,0.0003531424,0.0000697338,0.002619756],"genre_scores_gemma":[0.9934064,0.00004176794,0.0060373,0.000007808864,0.000002386344,0.00006103598,0.0002348072,0.000007967576,0.0002005821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004966589,"threshold_uncertainty_score":0.01070058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03037215146316395,"score_gpt":0.2595230708233253,"score_spread":0.2291509193601614,"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."}}