{"id":"W2888483650","doi":"10.1139/cjb-2018-0027","title":"Climatic niche modeling reveals divergence between cytotypes in <i>Eutrema edwardsii</i> (Brassicaceae)","year":2018,"lang":"en","type":"article","venue":"Botany","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Museum of the North, University of Alaska; U.S. Fish and Wildlife Service; Florida Museum of Natural History","keywords":"Biology; Niche; Polyploid; Brassicaceae; Ecological niche; Environmental niche modelling; Herbarium; Ploidy; Gene flow; Ecology; Evolutionary biology; Botany; Habitat; Genetic variation; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003535752,0.0002049987,0.0001510814,0.0005143912,0.000270325,0.0003746954,0.000227654,0.0001753052,0.0004559598],"category_scores_gemma":[0.0004876665,0.00009961626,0.000448187,0.0002887523,0.0001417003,0.0002130199,0.0002550789,0.0001962597,0.00009024338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003725102,"about_ca_system_score_gemma":0.0001837895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005541066,"about_ca_topic_score_gemma":0.004960849,"domain_scores_codex":[0.9999027,0.00002598542,0.000005944178,0.00004225149,0.00001113129,0.00001201475],"domain_scores_gemma":[0.9997213,0.0001453185,0.00006713404,0.00001998817,0.00002072416,0.00002546819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009254679,0.0001706848,0.5976308,0.0001782607,0.0002901166,0.0002890644,0.001159641,0.1976302,0.1572053,0.002435802,0.0006175505,0.04146721],"study_design_scores_gemma":[0.00001595663,0.00009438932,0.4556263,0.00001413833,0.00004447467,0.0002167232,0.0003067203,0.53536,0.006076185,0.001177394,0.0010375,0.00003012999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978896,0.00003716457,0.001684284,0.00001121407,7.683197e-7,0.000001437528,0.00008387474,0.00002797498,0.0002637041],"genre_scores_gemma":[0.9984485,0.00001512092,0.001292832,0.000003878481,5.567965e-7,0.000003205194,0.0001712094,0.00001181293,0.00005283204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005541066,"threshold_uncertainty_score":0.01101762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03971421775137779,"score_gpt":0.2731746427518168,"score_spread":0.233460425000439,"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."}}