{"id":"W6892294121","doi":"10.5061/dryad.7tv21","title":"Data from: Transatlantic secondary contact in Atlantic salmon, comparing microsatellites, a SNP array, and Restriction Associated DNA sequencing for the resolution of complex spatial structure","year":2015,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Université Laval; Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Introgression; Microsatellite; Single-nucleotide polymorphism; Population; Population genetics; SNP; Genomics; Allele frequency; DNA sequencing","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":[0.00166112,0.001116143,0.0009208329,0.002811552,0.0008069359,0.001387081,0.001805968,0.001146884,0.01448556],"category_scores_gemma":[0.005002337,0.0006400781,0.0007879485,0.004832695,0.0004840816,0.0007604231,0.002052115,0.001152858,0.008499641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002275434,"about_ca_system_score_gemma":0.004314186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1890239,"about_ca_topic_score_gemma":0.3344281,"domain_scores_codex":[0.9990012,0.000117131,0.0001803553,0.000276873,0.0002481845,0.0001763302],"domain_scores_gemma":[0.9978496,0.0004767674,0.0004194954,0.0004552361,0.0005855046,0.0002133479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003170156,0.0000718611,0.02909418,0.002592337,0.0002837374,0.0001873745,0.0003831025,0.001645039,0.001321357,0.001142076,0.9508836,0.01207824],"study_design_scores_gemma":[0.0005153618,0.00004527114,0.1487507,0.0007107711,0.0001554218,0.0001656258,0.0004078722,0.00134509,0.001373242,0.001439899,0.8449912,0.00009944812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001633262,0.00007018491,0.0001248954,0.00005123596,0.000009240101,0.00001518797,0.9974717,0.0002036855,0.0004206288],"genre_scores_gemma":[0.001772237,0.00003755872,0.000460091,0.00001557983,0.000002311807,0.00004910601,0.9973206,0.00003466412,0.0003077934],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1890239,"threshold_uncertainty_score":0.3758473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09319326457369997,"score_gpt":0.2982472661803023,"score_spread":0.2050540016066023,"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."}}