{"id":"W2264477451","doi":"10.1111/oik.02736","title":"The genetic underpinnings of population cyclicity: establishing expectations for the genetic anatomy of cycling populations","year":2016,"lang":"en","type":"article","venue":"Oikos","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biological dispersal; Genetic diversity; Biology; Population; Evolutionary biology; Genetic variation; Ecology; Genetics; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001190496,0.00006491022,0.00008931204,0.00001760064,0.0005176747,0.000009965527,0.0001661684,0.00003742409,0.00007143249],"category_scores_gemma":[0.0001767162,0.00003365827,0.00005661516,0.0001215282,0.0002346252,0.00008834094,0.00007428419,0.00003427816,0.000006227016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004247496,"about_ca_system_score_gemma":0.000004715595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004563627,"about_ca_topic_score_gemma":0.001500609,"domain_scores_codex":[0.9993384,0.00002989686,0.000243412,0.0001240866,0.0001238248,0.0001403873],"domain_scores_gemma":[0.9991235,0.00051413,0.0001713521,0.0001567139,0.00001737667,0.00001692966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000995011,0.00002572577,0.966172,0.000003289277,0.00001437664,1.496242e-7,0.0004902141,0.0006627445,0.009636925,0.0009766039,0.0001905459,0.0218175],"study_design_scores_gemma":[0.0001311233,0.00003797547,0.9952568,0.00000978163,0.0000508757,8.957151e-7,0.0005430459,0.0005441107,0.0006030052,0.002555368,0.0002162497,0.00005079622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885729,0.0001533406,0.009780077,0.0009266347,0.00008863259,0.0002615371,0.000008458175,0.00001059704,0.0001978156],"genre_scores_gemma":[0.9962956,0.00003376254,0.003396657,0.00002212981,0.00001930372,0.00006063455,0.000001405617,0.000007043981,0.0001634994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0290848,"threshold_uncertainty_score":0.3981587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02741307278575697,"score_gpt":0.3040075318881545,"score_spread":0.2765944591023975,"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."}}