{"id":"W4389921018","doi":"10.1080/11956860.2023.2292354","title":"An 8500-year history of climate-fire-vegetation interactions in the eastern maritime black spruce–moss bioclimatic domain, Québec, Canada","year":2023,"lang":"en","type":"article","venue":"Ecoscience","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service; Ministère des Ressources naturelles et des Forêts; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal; Natural Resources Canada; Université de Montréal","funders":"Mitacs","keywords":"Moss; Boreal; Vegetation (pathology); Taiga; Fire regime; Black spruce; Climate change; Dominance (genetics); Holocene; Climatology; Environmental science; Period (music); Physical geography; Ecology; Geography; Geology; Forestry; Ecosystem; Archaeology; Biology","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":[0.0002313493,0.0001988664,0.000165663,0.0007590222,0.001520244,0.0007861898,0.0005155924,0.0002954564,0.002500178],"category_scores_gemma":[0.0004151234,0.0001295618,0.0001445992,0.00138361,0.0004412218,0.0002842747,0.0003190232,0.0003365813,0.0002153652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01449331,"about_ca_system_score_gemma":0.006746574,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934975,"about_ca_topic_score_gemma":0.997955,"domain_scores_codex":[0.9998926,0.000008688256,0.000004580092,0.00002549109,0.00002105011,0.00004762331],"domain_scores_gemma":[0.9994766,0.00002853246,0.00006956096,0.0000120563,0.0002417245,0.00017151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009976086,0.00005167348,0.9835802,0.00002743138,0.00006657692,0.0001546512,0.0009610025,0.0003153904,0.001687303,0.0001086375,0.002082516,0.01086495],"study_design_scores_gemma":[0.000001883421,0.00000520494,0.9985799,0.000006329076,0.000006003128,0.00001325881,0.0003269904,0.0002113263,0.00003933328,0.000004476497,0.0008021323,0.000003144681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948919,0.0004284204,0.00009161744,0.0001970705,0.000007174453,0.00001212787,0.002633312,0.000009366946,0.001729062],"genre_scores_gemma":[0.9971356,0.0001729843,0.00009386832,0.00005456894,0.000003150415,0.000005011921,0.001273684,0.000003017216,0.001257992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01449331,"threshold_uncertainty_score":0.1051568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02167473328058077,"score_gpt":0.2500727465594186,"score_spread":0.2283980132788379,"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."}}