{"id":"W4321093284","doi":"10.3390/fire6020073","title":"Canadian Fire Management Agency Readiness for WildFireSat: Assessment and Strategies for Enhanced Preparedness","year":2023,"lang":"en","type":"article","venue":"Fire","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Northwest Territories; Government of British Columbia; Ministry of Natural Resources and Forestry; Natural Resources Canada; Ontario Forest Research Institute; Canadian Forest Service","funders":"","keywords":"Preparedness; Agency (philosophy); Weighting; Government (linguistics); Emergency management; Process management; Environmental resource management; Computer science; Business; Knowledge management; Environmental science; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007447072,0.0007307115,0.00028858,0.003828322,0.005023547,0.003529907,0.001599367,0.000655856,0.004654571],"category_scores_gemma":[0.0159085,0.000272442,0.0006268158,0.003569112,0.0009412752,0.001733239,0.002357268,0.00143813,0.0004459885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04616715,"about_ca_system_score_gemma":0.1656014,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9568623,"about_ca_topic_score_gemma":0.9815486,"domain_scores_codex":[0.996342,0.0006064309,0.000129072,0.0001311076,0.001639378,0.001151902],"domain_scores_gemma":[0.9884976,0.0007159422,0.0008624587,0.0002459431,0.006901025,0.002777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001667905,0.0004408218,0.4026991,0.0007146766,0.0001227616,0.0001530384,0.01044626,0.006449565,0.00153315,0.01009665,0.06092712,0.5062501],"study_design_scores_gemma":[0.00004318507,0.0004452301,0.8059983,0.001033532,0.0001472559,0.0001133588,0.05917024,0.01387951,0.00216447,0.003500418,0.1132765,0.0002281483],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7883413,0.005007471,0.01449215,0.06185666,0.0002976167,0.002946984,0.006285911,0.0008863566,0.1198855],"genre_scores_gemma":[0.9570782,0.00295049,0.02412184,0.001029401,0.00002613929,0.000473861,0.00289773,0.00005982471,0.01136246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04616715,"threshold_uncertainty_score":0.3349677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188581104321054,"score_gpt":0.2700551463702475,"score_spread":0.258169335327037,"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."}}