{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003279047,0.00019086,0.000194509,0.0000450774,0.0003269072,0.0001043018,0.0002437623,0.00008069799,0.0001226875],"category_scores_gemma":[0.00001697574,0.000186209,0.00005609207,0.0002662995,0.00004883727,0.0002705011,0.00009669964,0.00004650019,0.00008507969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00049403,"about_ca_system_score_gemma":0.00006851964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05119888,"about_ca_topic_score_gemma":0.08824756,"domain_scores_codex":[0.9985576,0.00002824929,0.0002056221,0.0004899119,0.0001882749,0.0005303639],"domain_scores_gemma":[0.9993145,0.00009942981,0.00006683201,0.0003169108,0.00001025505,0.0001920979],"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":[0.000142372,0.0001736829,0.01572137,0.002979226,0.0002847399,0.0001152378,0.008888884,0.002534078,0.005996527,0.003200476,0.3380302,0.6219332],"study_design_scores_gemma":[0.003478552,0.0009195652,0.5101355,0.0005357625,0.0001855282,0.00001363094,0.004427406,0.291245,0.0009383992,0.01027997,0.1759432,0.001897571],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881321,0.00003962321,0.0007999819,0.0006251992,0.0005460819,0.002573363,0.0001969642,0.0001597409,0.006926944],"genre_scores_gemma":[0.9926859,0.00002786469,0.001031948,0.00009613766,0.00006203456,0.001794526,0.0001235727,0.00003680749,0.004141241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6200356,"threshold_uncertainty_score":0.9551193,"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."}}