{"id":"W2365932457","doi":"10.1111/ele.12608","title":"Tree diversity, tree height and environmental harshness in eastern and western North America","year":2016,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Forest Service; Fonds Québécois de la Recherche sur la Nature et les Technologies; University of Minnesota; David and Lucile Packard Foundation","keywords":"Harshness; Species richness; Ecology; Environmental gradient; Tree (set theory); Species diversity; Range (aeronautics); Diversity (politics); Biology; Mathematics; Habitat","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":[0.00005410173,0.0001130835,0.0001456194,0.00004187659,0.0001822895,0.00000526717,0.0001050457,0.00005091504,0.0002350083],"category_scores_gemma":[0.000006775552,0.00008948812,0.0000162422,0.00003882675,0.0008061556,0.0001670147,0.0007014016,0.00006825122,0.0001793708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007972537,"about_ca_system_score_gemma":0.000001183922,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000484679,"about_ca_topic_score_gemma":0.02198712,"domain_scores_codex":[0.9992387,0.00006339258,0.0001111085,0.0002930326,0.00006371017,0.0002301089],"domain_scores_gemma":[0.9996919,0.0001183927,0.00005249486,0.00008495259,5.60125e-7,0.00005168214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001447661,0.00004212387,0.9925126,0.000001591681,0.00001754877,0.0000392395,0.0006650737,0.000009354686,0.0005648711,0.000002069922,0.000209763,0.005921247],"study_design_scores_gemma":[0.0007069417,0.00006931799,0.9984988,0.000002429406,0.00001287614,0.000009094068,0.00009258121,0.0001186407,0.000006618643,0.00004444573,0.0003196258,0.0001186386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924281,0.00001691442,0.00009272737,0.006871236,0.00007514883,0.0001036546,0.00000880573,0.00001143062,0.0003919516],"genre_scores_gemma":[0.9967382,0.0001035712,0.00006938363,0.002540399,0.00001045129,0.00001011074,0.000003878293,0.000005492922,0.0005185453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02193865,"threshold_uncertainty_score":0.9958591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005873618518899767,"score_gpt":0.1787198890193682,"score_spread":0.1728462705004685,"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."}}