{"id":"W4416839624","doi":"10.1007/s10980-025-02266-y","title":"Post-fire structural forest recovery associated with climate extremes in dry sub-boreal forests","year":2025,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Western Forest Products; University of British Columbia","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada","keywords":"Climate extremes; Landscape ecology; Climate change; Context (archaeology); Nature Conservation; Structural complexity","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000314621,0.000210405,0.000345334,0.00009440062,0.0001128496,0.00003222972,0.0002701938,0.0002166491,0.000359014],"category_scores_gemma":[0.0001784508,0.0001685436,0.00005022704,0.0003848838,0.00009645915,0.0002156516,0.0001888688,0.0002054986,0.0001133408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003119142,"about_ca_system_score_gemma":0.00003510471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001086673,"about_ca_topic_score_gemma":0.3889685,"domain_scores_codex":[0.9983385,0.000177679,0.000289464,0.000422439,0.0001532335,0.0006187171],"domain_scores_gemma":[0.9991395,0.000393868,0.000134629,0.0002542114,0.00001332177,0.00006441124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001477769,0.00004465985,0.9941182,0.00001885285,0.00002726997,0.00007347014,0.00006111196,0.0006629863,0.0001420864,0.00005197693,0.000737714,0.003913932],"study_design_scores_gemma":[0.001146956,0.0003318139,0.9789686,0.00004579373,0.00001687401,0.000008480562,0.00003531575,0.01880446,0.0000760215,0.0003096866,0.00006768266,0.0001883407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908104,0.00004465768,0.000003735793,0.0002279146,0.0005060438,0.0004226803,0.00003270471,0.00007750491,0.007874368],"genre_scores_gemma":[0.9991642,0.00001279901,0.00004385498,0.000249118,0.00002647114,0.00006686243,0.0001116118,0.00001988583,0.0003052323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3878818,"threshold_uncertainty_score":0.6873007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002808613653579567,"score_gpt":0.1972203089302375,"score_spread":0.1944116952766579,"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."}}