{"id":"W4399417562","doi":"10.4095/st000011","title":"Canadian Wildland Fire Prevention and Mitigation Strategy: Taking Action Together","year":2024,"lang":"en","type":"report","venue":"","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Action (physics); Environmental science; Environmental resource management; Environmental planning; Business; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002412306,0.001807784,0.0005993456,0.003571098,0.005697381,0.004627475,0.002529559,0.002599475,0.03812092],"category_scores_gemma":[0.003631848,0.0008167712,0.001092706,0.004737579,0.000740591,0.001546284,0.001467387,0.002345836,0.005803707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06136576,"about_ca_system_score_gemma":0.2719866,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969954,"about_ca_topic_score_gemma":0.9979804,"domain_scores_codex":[0.9969367,0.0001371342,0.00007583989,0.00009503151,0.002050889,0.0007044327],"domain_scores_gemma":[0.9935694,0.0002213983,0.0001253084,0.0001380625,0.004692423,0.001253355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000367899,0.00004475164,0.001786748,0.00009879367,0.00001973075,0.00003429297,0.00009547353,0.0005198572,0.0001592555,0.003488138,0.9723616,0.02135452],"study_design_scores_gemma":[0.0000614615,0.00001955356,0.02268933,0.0001912805,0.00007115773,0.00003449302,0.0008330885,0.001073133,0.001229126,0.001262131,0.9724572,0.00007802712],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01335274,0.006253544,0.004282976,0.08587285,0.004028763,0.001739996,0.3070503,0.003527889,0.573891],"genre_scores_gemma":[0.05242977,0.008672515,0.02736589,0.01720106,0.0003861962,0.001084636,0.1205414,0.001314586,0.7710039],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06136576,"threshold_uncertainty_score":0.4452419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02131260646060215,"score_gpt":0.2774276187631801,"score_spread":0.2561150123025779,"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."}}