{"id":"W2755503002","doi":"10.1111/oik.04590","title":"Geographic signatures in species turnover: decoupling colonization and extinction across a latitudinal gradient","year":2017,"lang":"en","type":"article","venue":"Oikos","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Latitude; Ecology; Colonization; Extinction (optical mineralogy); Species richness; Occupancy; Local extinction; Zooplankton; Biology; Climate change; Biodiversity; Bergmann's rule; Environmental science; Geography; Biological dispersal; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002077372,0.00007632736,0.00009299529,0.00001659143,0.0003604246,0.0001119588,0.000104928,0.0000568649,0.0002138928],"category_scores_gemma":[0.00004158052,0.00006948815,0.00001774648,0.00004826418,0.0001029754,0.0001944267,0.0001028928,0.00008475123,0.00001534238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000572063,"about_ca_system_score_gemma":0.000002664524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000516067,"about_ca_topic_score_gemma":0.0162733,"domain_scores_codex":[0.9994116,0.00001061066,0.0001212609,0.0001771239,0.0001239506,0.0001554491],"domain_scores_gemma":[0.9996499,0.00002327804,0.0001142434,0.0001710966,0.000004466059,0.00003701074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007644432,0.00001745166,0.9958177,0.000008539645,0.000002862256,0.000004760029,0.0003116057,0.001886154,0.0003453671,0.0003394247,0.0000574064,0.001201136],"study_design_scores_gemma":[0.0002183469,0.0000254241,0.9616214,0.00002381902,0.000003192779,0.000003322452,0.00005743097,0.03518558,0.00004408254,0.0003858611,0.002345452,0.00008609032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960838,0.00005827101,0.0004348092,0.00007320271,0.0001684742,0.0001277323,0.000007611861,0.00001055292,0.003035547],"genre_scores_gemma":[0.999382,0.0000419248,0.0001617207,0.00001779605,0.00003833498,0.000008774673,0.00000383926,0.000005529828,0.0003401232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03419625,"threshold_uncertainty_score":0.9080882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141198349068804,"score_gpt":0.243605874853052,"score_spread":0.2321938913623639,"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."}}