{"id":"W2608623023","doi":"10.1111/geb.12588","title":"Aggregate patterns of macrofaunal diversity: An interocean comparison","year":2017,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Species richness; Ecology; Benthic zone; Biodiversity; Geography; Range (aeronautics); Habitat; Temperate climate; Oceanography; Macroecology; Environmental science; Biology; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003644929,0.0001635858,0.0002003343,0.001304993,0.0002003601,0.0004457376,0.0001530869,0.0001409956,0.001689427],"category_scores_gemma":[0.0007894314,0.0001256376,0.0002699817,0.00113817,0.0002162045,0.0004565126,0.0006324846,0.0001309254,0.00018163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001562211,"about_ca_system_score_gemma":0.0001130391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008136687,"about_ca_topic_score_gemma":0.02230159,"domain_scores_codex":[0.9998697,0.00002431303,0.00001516972,0.00004506842,0.00002045253,0.00002521452],"domain_scores_gemma":[0.999431,0.0001407183,0.0001537237,0.00007015021,0.0001145663,0.00008982039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000635313,0.00000717387,0.9941719,0.00001114491,0.0001555996,0.0000241274,0.0004025489,0.0001205419,0.0009063002,0.00004772559,0.00008325928,0.004005981],"study_design_scores_gemma":[8.462251e-7,0.00001006555,0.9994343,0.00000198914,0.000006606054,0.00001646091,0.0002949352,0.0001373454,0.00002630419,0.00002101878,0.00004898304,0.000001256852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992887,0.00006109216,0.00007488865,0.000008860261,8.313874e-7,0.000001208043,0.0002421175,0.000003023878,0.0003192649],"genre_scores_gemma":[0.9994813,0.00003756299,0.00006701648,0.000003587008,0.000001663632,0.000002477954,0.0003308496,0.000001681074,0.000073939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008136687,"threshold_uncertainty_score":0.01617867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213669393972343,"score_gpt":0.2715392396001512,"score_spread":0.250172300202917,"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."}}