{"id":"W3007961244","doi":"10.3390/f11030252","title":"Unveiling the Diversity of Tree Growth Patterns in Boreal Old-Growth Forests Reveals the Richness of Their Dynamics","year":2020,"lang":"en","type":"article","venue":"Forests","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal; Université du Québec à Chicoutimi","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Old-growth forest; Stand development; Dendrochronology; Taiga; Ecological succession; Ecology; Canopy; Chronosequence; Forest dynamics; Species richness; Geography; Boreal; Secondary forest; Forestry; Biology","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":[0.0004375119,0.00015651,0.0002619668,0.00006557006,0.0001532421,0.00001998485,0.0007739074,0.00006645201,0.00005509534],"category_scores_gemma":[0.0002996169,0.00008565063,0.0001010251,0.0004449686,0.0001835703,0.0001314925,0.0001555588,0.0001810594,0.00001057012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009264088,"about_ca_system_score_gemma":0.00003793884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.00760763,"about_ca_topic_score_gemma":0.1795354,"domain_scores_codex":[0.9986663,0.0001958026,0.0003077113,0.0002157231,0.0003208011,0.0002936776],"domain_scores_gemma":[0.9985046,0.0008908641,0.0001971285,0.0002547756,0.00007555381,0.00007708507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001609094,0.00001642714,0.9955507,0.0001001072,0.00001944515,0.00001151597,0.001629561,0.0006396459,0.00000642563,0.0003466312,0.00007470129,0.001443948],"study_design_scores_gemma":[0.0002643627,0.0001296493,0.9838468,0.00005575351,0.00001673759,0.000003875802,0.0005288278,0.01334776,0.0002079959,0.00149665,0.000005381467,0.00009613531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971247,0.000124062,0.00007881982,0.001179408,0.00007742371,0.0002410313,0.0005298947,0.00002449821,0.0006201753],"genre_scores_gemma":[0.9996501,0.00005551818,0.00002978007,0.0001347579,0.00004261025,0.000001125024,0.00006621384,0.000005748606,0.00001419366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1719278,"threshold_uncertainty_score":0.9990008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01980539726267527,"score_gpt":0.2151663831900236,"score_spread":0.1953609859273483,"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."}}