{"id":"W2027265923","doi":"10.1034/j.1600-0706.2000.890109.x","title":"The best in all possible worlds? A quantitative genetic study of geographic variation in the meadow vole, <i>Microtus pennsylvanicus</i>","year":2000,"lang":"en","type":"article","venue":"Oikos","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microtus; Vole; Biology; Ecology; Range (aeronautics); Population; Genetic variation; Life history theory; Population size; Life history; Demography","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0002845695,0.0001174053,0.00006727919,0.0002417089,0.0001665517,0.0001698467,0.0001213907,0.00009789345,0.0003007714],"category_scores_gemma":[0.0004261547,0.00004962298,0.00007357793,0.000225552,0.0003842262,0.00007752288,0.0001040137,0.0001291682,0.00002500247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002295032,"about_ca_system_score_gemma":0.0001722589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01674411,"about_ca_topic_score_gemma":0.04689027,"domain_scores_codex":[0.9999032,0.0000346581,0.000003876139,0.00002706445,0.00001738118,0.0000137181],"domain_scores_gemma":[0.9997748,0.00006520029,0.00007259502,0.00001266671,0.00002002241,0.00005483613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001023163,0.00009410187,0.9718339,0.00001158091,0.0001237733,0.0001231728,0.0007068539,0.0003018439,0.01876275,0.0002040445,0.0001240998,0.007611558],"study_design_scores_gemma":[0.000001806908,0.00003432948,0.9988618,0.00000232445,0.00001280918,0.00007266596,0.0002561159,0.0004075205,0.0002055474,0.0000399349,0.0001028534,0.000002225804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998061,0.00002040264,0.00006459413,0.00001242445,4.5478e-7,7.483766e-7,0.0000180097,7.175753e-7,0.00007650039],"genre_scores_gemma":[0.9996531,0.00002229721,0.0002147553,0.000009069143,0.000001283064,0.000001353267,0.00003646029,7.174874e-7,0.00006089823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01674411,"threshold_uncertainty_score":0.03329331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02103897982154496,"score_gpt":0.2746310938007525,"score_spread":0.2535921139792075,"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."}}