{"id":"W2144920428","doi":"10.1016/j.foreco.2004.02.063","title":"Age structure of Picea schrenkiana forest along an altitudinal gradient in the central Tianshan Mountains, northwestern China","year":2004,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Chinese Academy of Forestry; Chinese Academy of Sciences; National Natural Science Foundation of China; Université du Québec à Chicoutimi","keywords":"Transect; Altitude (triangle); Dominance (genetics); Age structure; Taiga; Limiting; Ecology; Diameter at breast height; Geography; Physical geography; Forest structure; Population; Forestry; Environmental science; Biology; Demography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001762276,0.0001542896,0.0001761591,0.0001484714,0.0001557656,0.0000396319,0.0002962838,0.00006726567,0.00004743026],"category_scores_gemma":[0.000006494276,0.0001092631,0.00003344939,0.0001526853,0.0001737247,0.0001655118,0.00003498077,0.0001290161,0.000009450258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000154507,"about_ca_system_score_gemma":0.00002157277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006868284,"about_ca_topic_score_gemma":0.8150502,"domain_scores_codex":[0.9988436,0.00008842826,0.0002242273,0.0002694277,0.0001476457,0.0004267449],"domain_scores_gemma":[0.9995708,0.00004195963,0.00008085882,0.0002213053,0.000007077519,0.00007795116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009794563,0.00006015391,0.9745095,0.00008060539,0.00003360541,0.0003916886,0.0008284207,0.01687795,0.000001914313,0.005676465,0.00001162123,0.001430088],"study_design_scores_gemma":[0.0007148074,0.0004028372,0.9936505,0.00002372799,0.00003584438,0.00003872693,0.0004357753,0.0001955591,0.00000282821,0.003974347,0.0004086837,0.0001163807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985909,0.0001374984,0.00002992873,0.0002947502,0.0001931275,0.0004087569,0.00007397088,0.00001756107,0.0002534645],"genre_scores_gemma":[0.9990877,0.0001497161,0.0002841419,0.0001521451,0.00004571758,0.000003320059,0.0002536447,0.000003858035,0.00001976493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.808182,"threshold_uncertainty_score":0.9997451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008723088784399282,"score_gpt":0.2148306022524319,"score_spread":0.2061075134680326,"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."}}