{"id":"W4416734182","doi":"","title":"Tree diversity and functional traits as predictors of stand productivity","year":2024,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Ministry of Natural Resources and Forestry","funders":"","keywords":"Basal area; Trait; Productivity; Tree (set theory); Ecosystem; Diversity (politics); Disturbance (geology); Resource (disambiguation); Species diversity; Functional diversity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.006437947,0.000741766,0.0007428455,0.002535184,0.0005223087,0.001292115,0.0005990189,0.0005478146,0.00116052],"category_scores_gemma":[0.00721017,0.0003272503,0.003205099,0.002005172,0.0006368625,0.000768847,0.000788444,0.000771194,0.0001001142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003171572,"about_ca_system_score_gemma":0.0004050452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005789749,"about_ca_topic_score_gemma":0.008893919,"domain_scores_codex":[0.9975556,0.001556181,0.0001542367,0.0004724742,0.0001654491,0.00009602907],"domain_scores_gemma":[0.990444,0.007069579,0.001098835,0.0007054483,0.0003088534,0.0003732796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003121201,0.00003214968,0.9670322,0.0002808653,0.01808629,0.00006599266,0.0001416068,0.001853451,0.0008158438,0.0002217395,0.0001334821,0.0110243],"study_design_scores_gemma":[0.00002819498,0.0002293037,0.9832519,0.0001325436,0.007629556,0.0001416782,0.0003316861,0.005703914,0.0005599961,0.001199293,0.0007647548,0.00002702795],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741605,0.02141056,0.003033094,0.0002373199,0.00005229359,0.00001244531,0.000617062,0.00002987457,0.0004468105],"genre_scores_gemma":[0.9972653,0.001202612,0.001046586,0.00003862322,0.00001830608,0.00001023781,0.0003090935,0.000006971304,0.0001022969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006437947,"threshold_uncertainty_score":0.03404748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009574527845357993,"score_gpt":0.1947283096748869,"score_spread":0.1851537818295289,"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."}}