{"id":"W3048048159","doi":"10.1111/eva.13086","title":"Population genomic data in spider mites point to a role for local adaptation in shaping range shifts","year":2020,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Study of Mite Species","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Biology; Spider mite; Spider; Local adaptation; Population; Adaptation (eye); Ecology; Gene flow; Evolutionary biology; Range (aeronautics); Zoology; Acari; Gene; Genetics; Genetic variation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001450518,0.00008744651,0.0001186112,0.0000277305,0.0001221869,0.0000178432,0.0003173953,0.0000462301,0.00008137404],"category_scores_gemma":[0.00007105547,0.00005232797,0.00002818865,0.0005087063,0.00002111372,0.0002032904,0.0001426082,0.00006526193,0.000070942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009910458,"about_ca_system_score_gemma":0.0000093055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001151447,"about_ca_topic_score_gemma":0.006127211,"domain_scores_codex":[0.9990392,0.00003038649,0.0002496477,0.0003952571,0.0001157593,0.000169707],"domain_scores_gemma":[0.9995876,0.0001722012,0.00004894277,0.00009443077,0.0000301731,0.0000666666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004261144,0.001039281,0.5059873,0.0000610263,0.00003267699,0.00000187982,0.003941642,0.03160233,0.07310905,0.01754964,0.01034818,0.3559009],"study_design_scores_gemma":[0.0001500386,0.00005545322,0.9255669,0.000008558739,0.000003761835,5.559006e-7,0.001347535,0.05248637,0.000005424067,0.002025611,0.0182361,0.000113718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9279158,0.001094938,0.02369965,0.0432636,0.00003410651,0.003038201,0.0005444774,0.0001107771,0.0002985298],"genre_scores_gemma":[0.9914929,0.00001107054,0.005867677,0.00077353,0.000250202,0.0005365221,0.001052842,0.000001558113,0.000013752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4195796,"threshold_uncertainty_score":0.3419128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08530257068954164,"score_gpt":0.2689346123694248,"score_spread":0.1836320416798831,"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."}}