{"id":"W3112460907","doi":"10.1139/cjfr-2020-0389","title":"Stand density biases the estimation of the site index especially on dry sites","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Site index; Picea abies; Silviculture; Environmental science; Karst; Climate change; Atmospheric sciences; Leaf area index; Forestry; Mathematics; Physical geography; Ecology; Soil science; Geography; Agroforestry; Biology; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003278089,0.0005228583,0.0008258857,0.001315722,0.0005415306,0.0007247646,0.0005912971,0.0002691764,0.001407121],"category_scores_gemma":[0.00468715,0.0002672812,0.0004487227,0.001451003,0.0004083388,0.000606977,0.000563742,0.000339064,0.0004866171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003533687,"about_ca_system_score_gemma":0.0002940892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009129915,"about_ca_topic_score_gemma":0.04160695,"domain_scores_codex":[0.9985375,0.0005884885,0.0001192185,0.0003935111,0.0002899746,0.00007116231],"domain_scores_gemma":[0.9954757,0.002610082,0.0007307025,0.0005416819,0.0005174869,0.0001243538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002033172,0.0001222556,0.9039616,0.0003115969,0.0004557342,0.0001282693,0.0003966661,0.004181221,0.02020572,0.0004815014,0.001329621,0.06822244],"study_design_scores_gemma":[0.000007942306,0.0001110302,0.9805108,0.00003469096,0.0001241472,0.0002268746,0.0002225641,0.01165541,0.004093946,0.0007871463,0.002201427,0.0000241224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8842986,0.001067828,0.1057214,0.00009016562,0.000146957,0.0001025857,0.002516633,0.0007020087,0.005353801],"genre_scores_gemma":[0.9686134,0.0002166021,0.02858763,0.00008170702,0.00003162494,0.00005919512,0.001596191,0.00008792165,0.0007256318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009129915,"threshold_uncertainty_score":0.01815355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05236436039277289,"score_gpt":0.2903671290225098,"score_spread":0.2380027686297369,"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."}}