{"id":"W1972137452","doi":"10.1007/s11284-014-1178-6","title":"Functional diversity versus species diversity: relationships with habitat heterogeneity at multiple scales in a subtropical evergreen broad‐leaved forest","year":2014,"lang":"en","type":"article","venue":"Ecological Research","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; McGill University; Chinese Academy of Sciences; National Science Foundation","keywords":"Gamma diversity; Ecology; Quadrat; Alpha diversity; Evergreen; Species evenness; Habitat; Species diversity; Spatial heterogeneity; Diversity index; Biology; Species richness; Transect","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004007346,0.0001952183,0.0002026932,0.001326574,0.0003310889,0.0003787352,0.000207183,0.0001759453,0.0006270043],"category_scores_gemma":[0.0008241421,0.000121558,0.0001886949,0.0008720143,0.000438774,0.0003402514,0.0004234831,0.000122157,0.0000506565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003028154,"about_ca_system_score_gemma":0.0001217016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009442193,"about_ca_topic_score_gemma":0.01949967,"domain_scores_codex":[0.9998263,0.00004207111,0.00001485055,0.00004139153,0.00004028175,0.0000350717],"domain_scores_gemma":[0.9992937,0.0002325096,0.0001836591,0.00004374371,0.0001041373,0.0001422602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003124199,0.00001163016,0.9959888,0.000008190321,0.00004477719,0.00007475277,0.000179132,0.0003656635,0.001676055,0.00002173165,0.00001203873,0.001585983],"study_design_scores_gemma":[5.701259e-7,0.000008759982,0.9992473,7.357558e-7,0.000003910136,0.00003331352,0.0001318482,0.0004916935,0.00005170226,0.00001467747,0.00001410328,0.000001437147],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998548,0.00002247225,0.00003776661,0.000002613215,2.128218e-7,6.25341e-7,0.00002074937,9.080134e-7,0.00005983692],"genre_scores_gemma":[0.9999326,0.000005221175,0.00002322013,9.812085e-7,4.981835e-7,5.540661e-7,0.00002095904,1.860199e-7,0.00001574302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009442193,"threshold_uncertainty_score":0.01877445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1439523616617975,"score_gpt":0.2949235690356278,"score_spread":0.1509712073738303,"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."}}