{"id":"W2471399134","doi":"10.1002/ecy.1507","title":"Deconstructing the relationships between phylogenetic diversity and ecology: a case study on ecosystem functioning","year":2016,"lang":"en","type":"article","venue":"Ecology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; University of Toronto; The Scarborough Hospital; Université du Québec en Outaouais; McGill University","funders":"Canada Research Chairs; National Science Foundation","keywords":"Optimal distinctiveness theory; Phylogenetic diversity; Ecology; Phylogenetic tree; Functional ecology; Ecosystem; Biodiversity; Evolutionary ecology; Biology; Phylogenetics; Ecosystem diversity; Evolutionary biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003252977,0.0003684556,0.0004161885,0.002114775,0.002186064,0.001972757,0.0007568576,0.001099543,0.001072354],"category_scores_gemma":[0.006037527,0.000133928,0.000483201,0.003835304,0.002495672,0.002932882,0.001519035,0.001166837,0.0001077415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002161586,"about_ca_system_score_gemma":0.0006270593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01479509,"about_ca_topic_score_gemma":0.03920095,"domain_scores_codex":[0.9988484,0.0008752499,0.00002400631,0.00007049564,0.00008663111,0.00009505334],"domain_scores_gemma":[0.9939983,0.0049621,0.0003069117,0.000301279,0.0002082827,0.0002231357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000491384,0.0007337551,0.4757558,0.0005706713,0.0003708227,0.01566009,0.08388534,0.02494976,0.008658988,0.2215423,0.005686645,0.1616946],"study_design_scores_gemma":[0.00008695942,0.0004953672,0.5474827,0.0006148041,0.0002625557,0.009698536,0.1052417,0.09120192,0.003650516,0.1850302,0.05609658,0.0001382144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779236,0.001429426,0.01170959,0.001938267,0.000009965709,0.00002072036,0.0001637626,0.00001438826,0.006790368],"genre_scores_gemma":[0.9858042,0.0006697975,0.0125183,0.0001085594,0.00001397351,0.00001190551,0.00009239679,0.00001382133,0.0007670796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01479509,"threshold_uncertainty_score":0.02941793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1019474988089954,"score_gpt":0.2235399368098997,"score_spread":0.1215924380009042,"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."}}