{"id":"W2129458498","doi":"10.1111/j.1466-8238.2010.00592.x","title":"The effect of biodiversity on tree productivity: from temperate to boreal forests","year":2010,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":899,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Université du Québec à Montréal; Université du Québec à Rimouski","keywords":"Biodiversity; Ecology; Biome; Complementarity (molecular biology); Temperate rainforest; Temperate climate; Productivity; Taiga; Temperate forest; Ecosystem; Geography; Forest ecology; Agroforestry; Environmental science; Biology; Economics","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":[0.0002425,0.00009382252,0.0001253496,0.00002171439,0.0004130244,0.000007438222,0.000127412,0.00009741769,0.00002617653],"category_scores_gemma":[0.00007438076,0.00005897084,0.0000487518,0.0002081118,0.0007373086,0.00003561807,0.000153349,0.00009846333,0.00005889851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009783504,"about_ca_system_score_gemma":0.00000277397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005530068,"about_ca_topic_score_gemma":0.07620332,"domain_scores_codex":[0.9993718,0.00007614466,0.00008168373,0.0002363283,0.00006227525,0.0001718131],"domain_scores_gemma":[0.9995818,0.0001810655,0.00004557088,0.000132921,0.000007406638,0.0000513103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001636196,0.00002979892,0.994632,0.000001175278,0.00004383724,0.000001445694,0.00002472314,0.000005792863,0.000231275,0.0002170422,0.0009603893,0.003688911],"study_design_scores_gemma":[0.000260821,0.0007210869,0.9963123,7.943066e-7,0.00002498132,0.00000131931,0.000009532731,0.000009508624,0.0004961055,0.001451436,0.0006499272,0.00006222828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959717,0.00001597202,0.000001435642,0.001457768,0.0003505503,0.0002126935,0.0001077361,0.00001377072,0.00186836],"genre_scores_gemma":[0.9997164,0.00001482445,0.00005521765,0.0001691995,0.00001366112,0.00001279538,0.000008912327,9.249485e-7,0.000008092559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07565032,"threshold_uncertainty_score":0.9406536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002518635208187753,"score_gpt":0.1986818101045072,"score_spread":0.1961631748963195,"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."}}