{"id":"W2074046225","doi":"10.1007/s12686-012-9824-1","title":"Microsatellite loci for genetic analysis of the arctic gadids Boreogadus saida and Arctogadus glacialis","year":2012,"lang":"en","type":"article","venue":"Conservation Genetics Resources","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; University of Victoria; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Microsatellite; Locus (genetics); Allele; Population; Zoology; Evolutionary biology; Genetics; Gene; Demography","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":[0.0005518381,0.0002264396,0.0002448301,0.00120206,0.0004025416,0.0003178047,0.0003397381,0.0001854306,0.0007159607],"category_scores_gemma":[0.0007818919,0.0002053281,0.0002840561,0.0008612497,0.0001711647,0.0001303586,0.0003803163,0.0002998132,0.0001901238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003421158,"about_ca_system_score_gemma":0.0005752712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008193426,"about_ca_topic_score_gemma":0.04119379,"domain_scores_codex":[0.9997618,0.00003789127,0.00002636835,0.00008206186,0.00006267503,0.00002930088],"domain_scores_gemma":[0.9993972,0.0001201698,0.0001471527,0.00007057811,0.0001510754,0.0001138838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001176193,0.0001681172,0.1609133,0.0001874772,0.0002504648,0.0002809698,0.001111108,0.0009649683,0.7768858,0.0006629326,0.0003929608,0.05700573],"study_design_scores_gemma":[0.0002233019,0.0005954374,0.9348109,0.00009415749,0.0004823583,0.001079933,0.0008984343,0.003478912,0.04606893,0.0005057674,0.01171874,0.00004312423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936187,0.0002177651,0.003063007,0.00002964215,0.00001219363,0.00005532119,0.002094516,0.00004940625,0.0008594547],"genre_scores_gemma":[0.9617412,0.0002468494,0.03129235,0.00004019968,0.000008093031,0.000125573,0.005161847,0.00002318603,0.001360696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008193426,"threshold_uncertainty_score":0.0162915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01622631141095161,"score_gpt":0.2428003798787709,"score_spread":0.2265740684678193,"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."}}