{"id":"W2078885542","doi":"10.1111/ele.12346","title":"Latitudinal gradients in climatic‐niche evolution accelerate trait evolution at high latitudes","year":2014,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Niche; Latitude; Ecology; Biology; Ecological niche; Trait; Tropics; Ecological speciation; Reproductive isolation; Parallel evolution; Ecological selection; Evolutionary biology; Selection (genetic algorithm); Geography; Population; Genetic variation; Phylogenetic tree; Habitat","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":[0.0002219439,0.0001223647,0.0001900173,0.00002121816,0.0002755261,0.00001684246,0.0001362677,0.00008041807,0.0001454256],"category_scores_gemma":[0.00005080912,0.00005506268,0.000050229,0.0001628598,0.00008022359,0.0001002827,0.00007785326,0.0001081257,0.0001080602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002036678,"about_ca_system_score_gemma":0.000002022863,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003609568,"about_ca_topic_score_gemma":0.03724957,"domain_scores_codex":[0.9990161,0.0001059498,0.0001902959,0.0002443269,0.00009867609,0.0003446286],"domain_scores_gemma":[0.9996683,0.0001789887,0.00008050652,0.00001895295,0.00001503924,0.00003824197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002807726,0.00004720638,0.8869087,0.000003932325,0.00001380839,0.000004001639,0.00003288107,0.0000305325,0.1100122,0.00110377,0.001470168,0.0003447214],"study_design_scores_gemma":[0.000220663,0.0001381283,0.9977832,0.00001004075,0.00001094684,0.000003878022,0.00001886115,0.0002260976,0.0000740937,0.0005657839,0.0008227291,0.0001255342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99383,0.00002377102,0.000008903023,0.005436871,0.0001437681,0.0001185745,0.00001265619,0.00004382852,0.0003815911],"genre_scores_gemma":[0.9988837,0.000008423985,0.00006742937,0.0007622226,0.0001716573,0.00001642001,0.00002676423,7.530165e-7,0.00006260457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1108745,"threshold_uncertainty_score":0.9803181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02551500108258461,"score_gpt":0.1947159319434857,"score_spread":0.169200930860901,"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."}}