{"id":"W3006682213","doi":"10.1111/geb.13075","title":"Latitudinal biodiversity gradients at three levels: Linking species richness, population richness and genetic diversity","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Species richness; Body size and species richness; Ecology; Biodiversity; Population; Species diversity; Biology; Genetic diversity; Range (aeronautics); Demography","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":[0.002429854,0.0007498629,0.001340613,0.00479841,0.0002675165,0.002239163,0.000835421,0.0008889235,0.00288116],"category_scores_gemma":[0.0117997,0.0004407745,0.001124997,0.003949119,0.001122337,0.002518204,0.001098029,0.001484589,0.0003082258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285236,"about_ca_system_score_gemma":0.001556715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004790311,"about_ca_topic_score_gemma":0.007263083,"domain_scores_codex":[0.9987017,0.0005801023,0.0001903976,0.0002989504,0.0001896059,0.00003918984],"domain_scores_gemma":[0.9903185,0.007317898,0.0012415,0.0001904512,0.0007888111,0.0001428074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002964555,0.00005397027,0.03377606,0.1909528,0.01008111,0.0002894627,0.00225406,0.003816687,0.001019861,0.0616129,0.02579229,0.6700543],"study_design_scores_gemma":[0.00008329287,0.0003430156,0.1921498,0.2299143,0.01802195,0.0007344541,0.003118795,0.002115463,0.001194426,0.1230725,0.4289653,0.000286731],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.005016284,0.986188,0.002334796,0.003055605,0.0004152315,0.0000199767,0.000529037,0.00002572028,0.002415332],"genre_scores_gemma":[0.1112608,0.8806496,0.003037247,0.003119809,0.0007103428,0.00009096464,0.0005815211,0.0000188717,0.0005308919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00479841,"threshold_uncertainty_score":0.01285046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0478273561250338,"score_gpt":0.1902874434491845,"score_spread":0.1424600873241507,"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."}}