{"id":"W4405171908","doi":"10.1139/cjfr-2024-0205","title":"Climate-sensitive models of tree mortality based on lifetime analysis and irregular permanent-plot remeasurements","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Natural Resources Canada; Ontario Forest Research Institute; University of British Columbia; Canadian Forest Service","funders":"","keywords":"Plot (graphics); Environmental science; Climate change; Tree (set theory); Dendrochronology; Forestry; Physical geography; Geography; Ecology; Mathematics; Statistics; Biology","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":[0.002097937,0.0003927527,0.0003136431,0.0004871573,0.0002850572,0.0006587119,0.001567899,0.0003954788,0.001213294],"category_scores_gemma":[0.004926265,0.0003285667,0.000635586,0.0005019114,0.0006476069,0.001081488,0.0005157249,0.0005358863,0.0001486701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001831608,"about_ca_system_score_gemma":0.0007992683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04141257,"about_ca_topic_score_gemma":0.04826335,"domain_scores_codex":[0.999581,0.0001784728,0.00002162813,0.000111636,0.00004402316,0.00006322339],"domain_scores_gemma":[0.9981774,0.0009038672,0.0004287839,0.0002446858,0.0001692959,0.00007600006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00002838885,0.00001530381,0.01598969,0.0000223049,0.00004538053,0.00003352376,0.0001121302,0.9624953,0.0005641266,0.01285806,0.0002542469,0.007581487],"study_design_scores_gemma":[0.000003034492,0.00001313435,0.006390672,0.000004325231,0.00001352622,0.00002773723,0.00001897681,0.9874836,0.0001262659,0.005536555,0.0003732304,0.000009028175],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5639619,0.0003631663,0.4296244,0.0002534484,0.00003756634,0.00004602457,0.0008488791,0.0003367068,0.004527867],"genre_scores_gemma":[0.98771,0.00010826,0.009632051,0.00001612361,0.00001186215,0.00003320912,0.0002450599,0.00004178124,0.002201642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04141257,"threshold_uncertainty_score":0.08234304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04976333480771079,"score_gpt":0.3027187761650654,"score_spread":0.2529554413573546,"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."}}