{"id":"W4390110111","doi":"10.1002/ece3.10804","title":"It takes a village to grow a tree: Most tree species benefit from dissimilar neighbors","year":2023,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Forest Research Institute; Ministry of Natural Resources and Forestry; Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Ministère des Forêts, de la Faune et des Parcs","keywords":"Complementarity (molecular biology); Competition (biology); Biology; Tree (set theory); Context (archaeology); Ecology; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001732325,0.0001249321,0.0002551876,0.000221739,0.001023504,0.0006414586,0.0002405793,0.0002555738,0.002904185],"category_scores_gemma":[0.0005340719,0.00006821153,0.0001056311,0.0003960714,0.0004347666,0.0002707261,0.0004317562,0.000212639,0.0002821992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008902022,"about_ca_system_score_gemma":0.000659504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1533126,"about_ca_topic_score_gemma":0.5505497,"domain_scores_codex":[0.9998695,0.00001861652,0.000003081844,0.00003596211,0.00002669904,0.00004609738],"domain_scores_gemma":[0.9995996,0.00005292383,0.00007583809,0.00002937374,0.00005234059,0.0001900314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002582239,0.0000841605,0.928636,0.000109255,0.00009147531,0.0004415041,0.001445149,0.0008067931,0.03090937,0.0006170225,0.0009252734,0.03567591],"study_design_scores_gemma":[0.000002306608,0.00002377896,0.9981117,0.000004163508,0.000006074345,0.00009507992,0.0007018133,0.0001643534,0.0001370095,0.0001044262,0.0006464488,0.000002903292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968387,0.0001135954,0.0001861437,0.00008309555,0.000002259652,0.000003821589,0.0001024501,0.000007510548,0.002662288],"genre_scores_gemma":[0.9990836,0.00004762878,0.0002491484,0.000040525,0.00000190734,0.000001837042,0.00007835586,0.000003058705,0.0004939435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1533126,"threshold_uncertainty_score":0.3048405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009892463192054885,"score_gpt":0.2172203568686072,"score_spread":0.2073278936765523,"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."}}