{"id":"W6892173898","doi":"10.5061/dryad.652vq","title":"Data from: Life-history characteristics and landscape attributes as drivers of genetic variation, gene flow and fine-scale population structure in Northern Dolly Varden (Salvelinus malma malma) in Canada","year":2015,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"","keywords":"Sympatric speciation; Fish migration; Population; Genetic structure; Arctic; Gene flow; Habitat; Context (archaeology); Salvelinus","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":[0.0006145777,0.0007546239,0.0007650757,0.003144668,0.001530299,0.001686467,0.001485419,0.0004987448,0.005879814],"category_scores_gemma":[0.002905075,0.0003886107,0.0005076782,0.00649509,0.0005223137,0.0004074119,0.001225186,0.0007694451,0.002998999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009798517,"about_ca_system_score_gemma":0.01545727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.955833,"about_ca_topic_score_gemma":0.978605,"domain_scores_codex":[0.9994319,0.00002799982,0.00004419165,0.0001363645,0.000210836,0.0001486456],"domain_scores_gemma":[0.9981835,0.0001924755,0.0002099911,0.000191965,0.0009304407,0.0002916055],"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":[0.0003475469,0.00008892742,0.1790021,0.001760181,0.0004234904,0.0004013664,0.001923088,0.004856579,0.001726516,0.002914727,0.7792979,0.02725754],"study_design_scores_gemma":[0.0001447703,0.00001373542,0.4675395,0.0005009206,0.0001092115,0.0001528589,0.0009203447,0.002062865,0.00108747,0.0006995783,0.5266869,0.0000819965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01036974,0.0002258166,0.0002178033,0.0000777184,0.000009530848,0.00001956664,0.9872787,0.0002194448,0.001581619],"genre_scores_gemma":[0.01356417,0.0001409057,0.0005875537,0.00002608133,0.000002662455,0.00004684049,0.984517,0.00004231266,0.001072547],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04416704,"threshold_uncertainty_score":0.08885425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419920840234409,"score_gpt":0.2086487310335063,"score_spread":0.1944495226311622,"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."}}