{"id":"W2589991639","doi":"10.1139/cjfr-2016-0445","title":"Changes in mean forest age in Canada’s forests could limit future increases in area burned but compromise potential harvestable conifer volumes","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Environmental science; Vegetation (pathology); Fire regime; Climate change; Physical geography; Ecology; Forestry; Atmospheric sciences; Geography; Ecosystem; Biology; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002803686,0.0002662907,0.0005663219,0.0007808737,0.0004199389,0.0004141937,0.001611339,0.0001909119,0.0004206477],"category_scores_gemma":[0.0008611242,0.0002505379,0.00006770623,0.0004059359,0.0005057518,0.0006669046,0.0001841581,0.001263655,0.00002600756],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004935596,"about_ca_system_score_gemma":0.003877827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9976618,"about_ca_topic_score_gemma":0.9999984,"domain_scores_codex":[0.9959617,0.000445105,0.0006086506,0.0003931647,0.001082135,0.001509255],"domain_scores_gemma":[0.997484,0.0002119384,0.0002967468,0.000643322,0.00008999616,0.001274028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001108817,0.00004789301,0.9804195,0.00004386763,0.00001083706,0.01223306,0.0002218481,0.001831062,0.0001653026,0.00003144596,0.003672021,0.001212252],"study_design_scores_gemma":[0.001641954,0.0002146908,0.989219,0.0004043341,0.000004627615,0.0001644051,0.0006385299,0.004579141,0.00008477388,0.0002882814,0.002513333,0.0002469325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952813,0.0003155618,0.000001461772,0.002098923,0.0003392702,0.0006688687,0.00005889163,0.000002795165,0.001232889],"genre_scores_gemma":[0.9990104,0.00005915973,0.00003595229,0.00005912423,0.0002194579,0.00003129082,0.00001135768,0.00003824971,0.0005349484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01206865,"threshold_uncertainty_score":0.9999947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02968949650100687,"score_gpt":0.2612351163385736,"score_spread":0.2315456198375667,"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."}}