{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000254322,0.0001263452,0.0001092066,0.0008285278,0.0003157125,0.0002511418,0.0001807569,0.00008095675,0.0003229262],"category_scores_gemma":[0.0005015865,0.0001158419,0.0001504579,0.0005742709,0.0001652916,0.0001014595,0.0002495471,0.0001107333,0.0000819319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006757433,"about_ca_system_score_gemma":0.0005432604,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.110751,"about_ca_topic_score_gemma":0.3510071,"domain_scores_codex":[0.9998744,0.00001475774,0.0000116044,0.00003570496,0.00003938589,0.00002431071],"domain_scores_gemma":[0.9994778,0.00004274107,0.0001641672,0.0000310682,0.0002087463,0.00007552486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006476939,0.00001265234,0.9817285,0.000006701209,0.00003769439,0.00004461986,0.0003363351,0.0001294551,0.01349792,0.00002806239,0.00004236837,0.004070817],"study_design_scores_gemma":[0.00000179172,0.00002200471,0.998192,0.000002710899,0.00001308491,0.00004307717,0.0002299633,0.0005758713,0.0007790941,0.00001020139,0.0001277787,0.000002371306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997324,0.00001703597,0.00008033932,0.000003448851,5.243822e-7,0.000001682674,0.00006465026,0.000001300866,0.00009856662],"genre_scores_gemma":[0.9990729,0.00001931044,0.0003866082,0.000005783741,7.570515e-7,0.000003582272,0.0002712914,0.000001241213,0.000238568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.889249,"threshold_uncertainty_score":0.2202126,"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."}}