{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002524648,0.0001860424,0.0002431939,0.001130795,0.0003381038,0.0002833439,0.0001686431,0.0002566702,0.00120868],"category_scores_gemma":[0.0004116038,0.0001209923,0.0003996672,0.0007711007,0.0003263689,0.0002719995,0.000343699,0.0003037421,0.0001573951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050372,"about_ca_system_score_gemma":0.0001056198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001707042,"about_ca_topic_score_gemma":0.004126308,"domain_scores_codex":[0.9998719,0.00001479572,0.000007473264,0.00007008364,0.00001717551,0.00001853848],"domain_scores_gemma":[0.9996977,0.0000729878,0.0001084497,0.00002922851,0.00004727923,0.00004438153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001617465,0.00005716766,0.69074,0.0001781052,0.0004374833,0.0003069075,0.0009140843,0.001113622,0.2865019,0.0005284377,0.0001835513,0.01887694],"study_design_scores_gemma":[0.00000384323,0.00002647314,0.9979527,0.000004262507,0.00003107095,0.00009628532,0.0001280087,0.0004279586,0.0008234848,0.0001546265,0.0003468318,0.000004454281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978028,0.0002267339,0.001137605,0.00001785113,0.000002046809,0.000005228984,0.0003313519,0.00001631601,0.0004601129],"genre_scores_gemma":[0.9987155,0.000108548,0.0005286495,0.0000271981,0.000004793348,0.00000755535,0.0004810297,0.00000486051,0.0001219294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001707042,"threshold_uncertainty_score":0.00404346,"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."}}