{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007805263,0.0002952367,0.0003139448,0.0001559388,0.000321738,0.00004763364,0.0002462522,0.000353163,0.00004710862],"category_scores_gemma":[0.0001777934,0.0003009263,0.00007861014,0.0002372172,0.0001557741,0.00001466266,0.000550833,0.0002043545,0.00001672187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003479895,"about_ca_system_score_gemma":0.00004801426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005293167,"about_ca_topic_score_gemma":0.001085022,"domain_scores_codex":[0.9982765,0.0001573983,0.0002517282,0.0006313736,0.0001921411,0.0004908766],"domain_scores_gemma":[0.9991124,0.00007469122,0.0001789575,0.0003435187,0.0001090313,0.0001814467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001257203,0.00006909903,0.9689213,0.00002891355,0.0001644738,0.00007206487,0.00109173,0.001739156,0.02403697,0.00001928066,0.003514374,0.0003300593],"study_design_scores_gemma":[0.001582468,0.0003246577,0.9870472,0.00001213771,0.00009931604,0.0000494477,0.0003824783,0.0009284834,0.006877233,0.0002060691,0.002366807,0.0001237182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955025,0.0002209138,0.00305325,0.0001680769,0.0001223149,0.0004718388,0.00003139267,0.00002370014,0.0004060037],"genre_scores_gemma":[0.9963123,0.0000929032,0.001095547,0.001745141,0.00002884218,0.0000202456,0.000176677,0.00002668347,0.000501719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01812588,"threshold_uncertainty_score":0.9999443,"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."}}