{"id":"W4404185249","doi":"10.1111/jbi.15037","title":"Unveiling Macroecological Patterns of Elasmobranchs in the Eastern Pacific Ocean","year":2024,"lang":"en","type":"article","venue":"Journal of Biogeography","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California; Smithsonian Tropical Research Institute; Save Our Seas Foundation; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Smithsonian Institution","keywords":"Species richness; Latitude; Macroecology; Ecology; Range (aeronautics); Sea surface temperature; Extinction (optical mineralogy); Biogeography; Taxon; Archipelago; Tropical Eastern Pacific; Oceanography; Longitude; Geography; Pacific ocean; Biology; Geology; Paleontology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007366766,0.00008048713,0.000158872,0.0001537541,0.00002749535,0.00001214938,0.0002821961,0.00008692334,0.0005637918],"category_scores_gemma":[0.00001573554,0.00004454674,0.0001920896,0.0003166446,0.0001812619,0.00007664373,0.00006771833,0.0002674195,0.00004056845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001156647,"about_ca_system_score_gemma":0.000006545491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005520672,"about_ca_topic_score_gemma":0.00004188031,"domain_scores_codex":[0.9991218,0.0001301131,0.0003381775,0.0001055557,0.0001395754,0.0001647665],"domain_scores_gemma":[0.999656,0.0001189986,0.00009610406,0.0000917861,0.000006748022,0.00003039809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003251817,0.00007576591,0.9952741,0.00001006004,0.00002471018,0.0001169659,0.0002975027,0.00002370977,0.0008644799,0.0001016121,0.0004923621,0.002686158],"study_design_scores_gemma":[0.0002094372,0.0004694313,0.9787078,0.00003263413,0.00002527075,0.0002404149,0.0004566405,0.00005157889,0.0002488254,0.001369494,0.01811718,0.00007129939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964853,0.0004699755,0.0000734148,0.0006566311,0.0003583514,0.00005638959,0.000004061927,0.000004949976,0.001890962],"genre_scores_gemma":[0.9995463,0.0001386019,0.00008305745,0.0001399966,0.00005497616,6.908486e-7,8.729405e-7,0.000003441606,0.00003204686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01762482,"threshold_uncertainty_score":0.6173125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006986213308564364,"score_gpt":0.2239731216885653,"score_spread":0.2169869083800009,"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."}}