{"id":"W7109048487","doi":"10.1002/ecs2.70473","title":"Keeping logs on the past: Log driving tells the story of fire regimes in pine forests of eastern Canada","year":2025,"lang":"en","type":"article","venue":"Ecosphere","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Disturbance (geology); Logging; Fire regime; Ecosystem; Pine forest; Fire ecology; Settlement (finance); Period (music); Fire history","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005200322,0.0001137062,0.000184241,0.000008608726,0.000083757,0.000007376762,0.0004435248,0.00004281729,0.0004843111],"category_scores_gemma":[0.0001445406,0.00007138046,0.00004039381,0.0002354908,0.0001020685,0.00005208281,0.0001552214,0.0002055514,0.00004330788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00024886,"about_ca_system_score_gemma":0.00006016314,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2084152,"about_ca_topic_score_gemma":0.816305,"domain_scores_codex":[0.9989332,0.0002083905,0.0002331783,0.0001869952,0.000235071,0.0002031659],"domain_scores_gemma":[0.9986981,0.0006816223,0.0001526615,0.0004378843,0.000005984996,0.00002374212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002237388,0.00008168718,0.7848703,0.000158256,0.00004082583,0.00001469525,0.0006751788,0.009182971,0.0006500857,0.0001989666,0.1752554,0.02884918],"study_design_scores_gemma":[0.0002388685,0.00006231617,0.9718584,0.0005437479,0.000008727144,0.000001371451,0.0004964271,0.0153243,0.001507323,0.0001095485,0.009727454,0.0001215402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686928,0.0002171266,0.0000190794,0.001660604,0.000235784,0.0003288126,0.000003442155,0.000006976651,0.02883541],"genre_scores_gemma":[0.9968624,0.00000611748,0.00001540701,0.000258512,0.000018753,0.00001510229,6.216413e-7,0.000009519588,0.002813531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6078898,"threshold_uncertainty_score":0.796856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004133889906018558,"score_gpt":0.1853984978043603,"score_spread":0.1812646078983417,"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."}}