{"id":"W4292332865","doi":"10.3390/environsciproc2022017085","title":"The Effect of Broadleaf-Tree Greenup on Springtime Wildfire Occurrence in Boreal Canada","year":2022,"lang":"en","type":"article","venue":"","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Thompson Rivers University; Canadian Forest Service","funders":"","keywords":"Taiga; Boreal; Environmental science; Biome; Snowmelt; Physical geography; Snow; Flammability; Disturbance (geology); Snow cover; Climatology; Geography; Ecology; Forestry; Ecosystem; Meteorology; Geology","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":[0.0004395929,0.0003453742,0.0002208147,0.0009883681,0.001165435,0.001054313,0.0005995419,0.0002181145,0.0009398467],"category_scores_gemma":[0.001659309,0.0001598244,0.0004868261,0.001068616,0.0006185872,0.0002944879,0.0005625737,0.000360661,0.0000765026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005841168,"about_ca_system_score_gemma":0.007150994,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9580074,"about_ca_topic_score_gemma":0.9875956,"domain_scores_codex":[0.9995727,0.00003731704,0.00002750773,0.00009404561,0.0001052727,0.000163178],"domain_scores_gemma":[0.997318,0.0003081162,0.0006173338,0.00009500521,0.0006957322,0.0009658489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000802264,0.00002280264,0.9965467,0.000008696878,0.00005137311,0.00005533862,0.0002523903,0.0001866092,0.0005676903,0.00002997487,0.0002023172,0.001995902],"study_design_scores_gemma":[8.507189e-7,0.000007676877,0.9993768,0.000003546935,0.000006283181,0.00001318339,0.0003425739,0.0001055197,0.00003015231,0.000002946458,0.0001077636,0.000002581533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987429,0.0001275387,0.00003050554,0.00003280998,0.000004462006,0.000004411768,0.0005064105,0.000006385102,0.0005446695],"genre_scores_gemma":[0.9991892,0.0000966199,0.00005882725,0.00001619345,0.00000228717,0.000003315507,0.0004226161,0.000003499166,0.0002074932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0419926,"threshold_uncertainty_score":0.08447975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002385949300541171,"score_gpt":0.1782129617345625,"score_spread":0.1758270124340214,"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."}}