{"id":"W2012756485","doi":"10.1890/1051-0761(2000)010[1090:msaoac]2.0.co;2","title":"MIXED-STOCK ANALYSIS OF ATLANTIC COD NEAR THE GULF OF ST. LAWRENCE BASED ON MICROSATELLITE DNA","year":2000,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Gadus; Atlantic cod; Overwintering; Gadidae; Stock (firearms); Fishery; Population; Ecology; Microsatellite; Genetic structure; Biology; Geography; Genetic variation; Demography; Genetics; Archaeology; Allele","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0000771608,0.00007026531,0.0001318213,0.00002424817,0.0001223981,0.00001017665,0.0002262485,0.0001004124,0.0008077899],"category_scores_gemma":[0.00001245883,0.00004965266,0.000123468,0.0003217004,0.0002038505,8.327933e-7,0.00002749337,0.00004665769,0.00001925503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003668889,"about_ca_system_score_gemma":0.00002351311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001400892,"about_ca_topic_score_gemma":0.00004630256,"domain_scores_codex":[0.9994235,0.00004641644,0.0001677322,0.0001841495,0.00008779155,0.00009040062],"domain_scores_gemma":[0.9994533,0.00004464434,0.00008289989,0.0003322346,0.00005541094,0.00003152853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005339709,0.002092789,0.3553824,0.00008037838,0.001550405,0.000001912054,0.0002928841,0.290667,0.2976623,0.008853555,0.008505569,0.03437692],"study_design_scores_gemma":[0.0002703051,0.0002230344,0.8094524,0.000002551431,0.0003320428,6.729297e-7,0.00002235782,0.002360541,0.01587571,0.0003287446,0.171001,0.000130655],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964383,0.00003636296,0.001920055,0.0002190463,0.000009299099,0.0002120385,0.0001862546,0.000004861552,0.0009737954],"genre_scores_gemma":[0.9977841,0.000025297,0.001155025,0.0002220795,0.00001495525,0.00002404543,0.0005200261,0.000002408769,0.0002520279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4540701,"threshold_uncertainty_score":0.8844733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429670692472137,"score_gpt":0.2371602886978564,"score_spread":0.222863581773135,"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."}}