{"id":"W2020507892","doi":"10.1139/cjfr-2014-0431","title":"Short-term effects of mastication on fuel moisture and thermal regime of boreal fuel beds","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service; Natural Resources Canada; University of Toronto","funders":"","keywords":"Black spruce; Environmental science; Water content; Moisture; Mulch; Boreal; Soil water; Pinus contorta; Canopy; Hydrology (agriculture); Soil science; Atmospheric sciences; Taiga; Agronomy; Geology; Meteorology; Ecology; Forestry; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001995902,0.0003020073,0.0003850466,0.0001725408,0.0005508841,0.0004674456,0.0004532626,0.0002212955,0.0005842414],"category_scores_gemma":[0.0002973469,0.0001906784,0.0002479118,0.00014875,0.0004228538,0.0002677786,0.0003761296,0.0005297326,0.00009626109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001288439,"about_ca_system_score_gemma":0.0004964629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04559554,"about_ca_topic_score_gemma":0.150688,"domain_scores_codex":[0.9998569,0.00001356989,0.000008067515,0.00005393339,0.0000268819,0.00004053641],"domain_scores_gemma":[0.9995779,0.00005457066,0.00008651433,0.00002607579,0.00008979781,0.0001650239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00429736,0.0006221646,0.1115918,0.00008425891,0.0000924297,0.0002101724,0.0007678734,0.0002742872,0.8750052,0.00003469871,0.0001536448,0.006866143],"study_design_scores_gemma":[0.0000144651,0.0008923025,0.9837745,0.000003654903,0.00002339693,0.00003802995,0.0004369744,0.0003803265,0.01403569,0.00001239846,0.0003797611,0.000008457417],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996763,0.00004587216,0.00004985215,0.000005282772,0.000002170279,0.000007022029,0.00007381125,0.000004819689,0.0001347569],"genre_scores_gemma":[0.9989088,0.00003037517,0.0002161391,0.00003626377,0.00000260791,0.00001787238,0.0003254409,0.000005231915,0.0004572888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9544045,"threshold_uncertainty_score":0.09066027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0251273380765485,"score_gpt":0.2788444955463704,"score_spread":0.2537171574698219,"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."}}