{"id":"W3013349028","doi":"","title":"Application of CFSv2 Hindcasts of Canadian Fire Weather Indices to Develop Outlooks for Fire Managers in Alaska","year":2019,"lang":"en","type":"article","venue":"99th American Meteorological Society Annual Meeting","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Meteorology; Climatology; Environmental science; Aeronautics; History; Geography; Geology; Engineering","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":[0.0006682551,0.0004644572,0.0001974017,0.0009178782,0.0009578345,0.001221256,0.0004201006,0.000357157,0.002643371],"category_scores_gemma":[0.002068599,0.0002023919,0.0002923392,0.001031148,0.0001046107,0.0004573593,0.0003465973,0.0004516285,0.0004009528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002668391,"about_ca_system_score_gemma":0.005787666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8619397,"about_ca_topic_score_gemma":0.8904652,"domain_scores_codex":[0.9998192,0.00002487966,0.00001114989,0.00003508299,0.00006243219,0.0000471307],"domain_scores_gemma":[0.9993167,0.00007876542,0.00003678594,0.00005308494,0.0004347186,0.00007990621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000578856,0.0002759867,0.2375083,0.0001653911,0.0003121177,0.0003512291,0.0009576271,0.506017,0.009856286,0.002827049,0.03920792,0.2019423],"study_design_scores_gemma":[0.0001174035,0.00004547934,0.1945858,0.00006326634,0.0001189829,0.00002718364,0.0009510504,0.7742379,0.00476761,0.000960541,0.02402963,0.00009512603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9093684,0.0003141576,0.01459869,0.0009194477,0.0004530528,0.0001781268,0.0338258,0.002107976,0.03823441],"genre_scores_gemma":[0.9743201,0.0001172315,0.01568889,0.00003983049,0.00003295665,0.00003384047,0.006410871,0.0001032865,0.003253038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1380603,"threshold_uncertainty_score":0.2777466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006085864650438262,"score_gpt":0.2193205295053572,"score_spread":0.213234664854919,"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."}}