{"id":"W2349790699","doi":"10.1038/nature17937","title":"Deep-sea diversity patterns are shaped by energy availability","year":2016,"lang":"en","type":"article","venue":"Nature","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":268,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Dalhousie University; Australian Government; Centre of Excellence for Environmental Decisions, Australian Research Council","keywords":"Species richness; Biodiversity; Continental shelf; Oceanography; Deep sea; Ecology; Habitat; Ecosystem; Latitude; Environmental science; Geography; Geology; 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":[0.0002733735,0.0001392357,0.0002792277,0.0007648906,0.0003167052,0.001075783,0.0002870689,0.0003955369,0.003830833],"category_scores_gemma":[0.001571842,0.0003404217,0.0003419042,0.0007821427,0.0007673878,0.0006615723,0.0007130404,0.0003635118,0.0005085946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002128397,"about_ca_system_score_gemma":0.0001220014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002832352,"about_ca_topic_score_gemma":0.007819388,"domain_scores_codex":[0.9998021,0.00004441598,0.00001329703,0.00006569122,0.00002083372,0.00005361801],"domain_scores_gemma":[0.9986235,0.0005609646,0.0003517132,0.0001264125,0.0001061844,0.0002312636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003590335,0.0000454305,0.9754236,0.00002738309,0.0002868947,0.0001111023,0.0004760769,0.0009268255,0.01487847,0.0004474043,0.0002406436,0.006777063],"study_design_scores_gemma":[0.000002262863,0.00001098238,0.9990608,0.000002053146,0.000007238717,0.00002474009,0.0001782949,0.0002982178,0.00008690797,0.0002436825,0.00008155689,0.000003170563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989638,0.00007572454,0.000173226,0.00004551598,0.000002256512,8.76543e-7,0.0000971364,0.00000328341,0.0006381924],"genre_scores_gemma":[0.9996616,0.00003323735,0.00004999162,0.00001867942,0.000002508697,0.000001286263,0.000068656,0.0000042351,0.0001598629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003830833,"threshold_uncertainty_score":0.01281536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009940001771159345,"score_gpt":0.2140619999203165,"score_spread":0.2041219981491572,"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."}}