{"id":"W2144941260","doi":"10.1111/mec.12197","title":"Genetic diversity and differentiation in a wide ranging anadromous fish, <scp>A</scp>merican shad (<i><scp>A</scp>losa sapidissima</i>), is correlated with latitude","year":2013,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Biology; Semelparity and iteroparity; Fish migration; Ecology; Population; Genetic structure; Gene flow; Range (aeronautics); Effective population size; Genetic variation; Genetic diversity; Local adaptation; Evolutionary biology; Reproduction; Demography; Habitat; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001389491,0.0001196919,0.00007747787,0.0007043268,0.0002886059,0.0002075397,0.00009965301,0.0001457568,0.0006503682],"category_scores_gemma":[0.0004450268,0.00009948923,0.0001136556,0.0005612155,0.0003833561,0.0001153902,0.000163467,0.0001803237,0.0001025679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002618518,"about_ca_system_score_gemma":0.0001915662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009286377,"about_ca_topic_score_gemma":0.03113732,"domain_scores_codex":[0.9998939,0.00001738513,0.000008551283,0.00004345476,0.00002482676,0.00001184984],"domain_scores_gemma":[0.9996659,0.00006935188,0.0001297467,0.00002241157,0.00005383707,0.00005876608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009018606,0.00002650017,0.9757134,0.00001799918,0.0000832131,0.00006643114,0.0004026078,0.0002328383,0.01806061,0.00006890659,0.00005966343,0.005177726],"study_design_scores_gemma":[0.000002348472,0.0000254628,0.9991267,0.000001708548,0.000006548368,0.00006648982,0.00008398186,0.0003085949,0.00028257,0.00002433608,0.00006924642,0.000002065493],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997712,0.00001680812,0.0000423429,0.000004435461,3.021038e-7,9.021614e-7,0.00005259296,0.000001190199,0.0001101025],"genre_scores_gemma":[0.9995073,0.00002264361,0.0002027875,0.000004237525,0.000001308142,0.000003064407,0.0001695751,8.260396e-7,0.00008827183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009286377,"threshold_uncertainty_score":0.01846462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00460658789680661,"score_gpt":0.1820332243740443,"score_spread":0.1774266364772377,"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."}}