{"id":"W2744573222","doi":"10.1139/cjfr-2017-0063","title":"Automated prediction of extreme fire weather from synoptic patterns in northern Alberta, Canada","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service; University of Alberta","funders":"Alberta Agriculture and Forestry","keywords":"Climatology; Meteorology; Environmental science; Geography; Physical geography; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003639866,0.0006096259,0.0002653945,0.001060428,0.0005890218,0.0007751432,0.0006171159,0.0002783447,0.000850031],"category_scores_gemma":[0.00111741,0.0002358093,0.0002403299,0.001207995,0.0002257291,0.0002851297,0.0002861144,0.0002671548,0.0002557439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005341695,"about_ca_system_score_gemma":0.005380287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9663442,"about_ca_topic_score_gemma":0.9809615,"domain_scores_codex":[0.9998798,0.00001162827,0.000006320995,0.00003705123,0.00003070062,0.00003438103],"domain_scores_gemma":[0.9995841,0.0000749536,0.0000350357,0.00002020925,0.0002314805,0.00005414282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005440822,0.0002604266,0.4106829,0.0001101872,0.0002248273,0.0002491997,0.0003188602,0.3998676,0.005562101,0.0004724644,0.01310207,0.1686053],"study_design_scores_gemma":[0.00002889014,0.00001503083,0.199684,0.00001593261,0.00002568539,0.00001649918,0.0002531854,0.7972944,0.0009932059,0.0001793298,0.001473469,0.00002026485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897268,0.0002613024,0.002808821,0.0001245623,0.00002024471,0.00004287379,0.004602284,0.0005662285,0.001846849],"genre_scores_gemma":[0.9861508,0.0001509567,0.005307511,0.00002128998,0.000007716441,0.00001280516,0.006975408,0.0000291085,0.001344327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03365576,"threshold_uncertainty_score":0.0677079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02528652459443316,"score_gpt":0.2490602123784316,"score_spread":0.2237736877839984,"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."}}