{"id":"W4392657209","doi":"10.1002/ecs2.4793","title":"Delineating wildfire burns and regrowth using satellite imagery to assess moose (<i>Alces alces</i>) spatial responses to burns","year":2024,"lang":"en","type":"article","venue":"Ecosphere","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia; University of Northern British Columbia","funders":"Habitat Conservation Trust Foundation; Fulbright Canada","keywords":"Vegetation (pathology); Wildlife; Prescribed burn; Population; Ecology; Geography; Physical geography; Environmental science; Forestry; Biology; Demography; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008321934,0.0003544912,0.0003433902,0.00006356954,0.0002397048,0.0004852575,0.0003100401,0.0001210329,0.000808216],"category_scores_gemma":[0.0003101082,0.0003270673,0.0000767063,0.0006459035,0.0001000227,0.0004821075,0.0004296933,0.0002332332,0.001510349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000312535,"about_ca_system_score_gemma":0.00003982733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003734875,"about_ca_topic_score_gemma":0.003223586,"domain_scores_codex":[0.9974571,0.0002192794,0.0004067066,0.0008590771,0.0004602592,0.0005976143],"domain_scores_gemma":[0.998664,0.0004369847,0.00007824363,0.0004164006,0.00001322759,0.0003911013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003636729,0.0001489491,0.1193458,0.0004960319,0.0001389584,0.001188954,0.004479832,0.004430342,0.3052928,0.0000614825,0.03297928,0.5310739],"study_design_scores_gemma":[0.001243284,0.001579472,0.2616284,0.004035936,0.0002902524,0.0007880071,0.001600426,0.4041626,0.06378949,0.0005829421,0.2561905,0.004108682],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871201,0.0009346491,0.005635571,0.0008432845,0.0006747427,0.0006403173,0.00003776619,0.0002419753,0.0038716],"genre_scores_gemma":[0.9822522,0.00004258972,0.01488336,0.0005942596,0.0003684072,0.0000409044,0.000005769164,0.00008227125,0.001730286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5269652,"threshold_uncertainty_score":0.9999182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048326003081116,"score_gpt":0.2730947260990658,"score_spread":0.2526114660682547,"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."}}