{"id":"W2618902998","doi":"10.1007/s00251-017-0996-4","title":"Small-scale intraspecific patterns of adaptive immunogenetic polymorphisms and neutral variation in Lake Superior lake trout","year":2017,"lang":"en","type":"article","venue":"Immunogenetics","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Great Lakes Fishery Commission","keywords":"Biology; Intraspecific competition; Trout; Variation (astronomy); Genetic variation; Scale (ratio); Evolutionary biology; Zoology; Ecology; Genetics; Fish <Actinopterygii>; Fishery; Gene; Cartography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003217312,0.0001380516,0.0001939175,0.0006061245,0.0004707254,0.0003839372,0.000183525,0.0002568051,0.001201911],"category_scores_gemma":[0.0004136504,0.0001906478,0.0001521057,0.0004707726,0.000652241,0.000228396,0.0005539788,0.0003213992,0.0001152089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004850072,"about_ca_system_score_gemma":0.0002664809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007662713,"about_ca_topic_score_gemma":0.02067206,"domain_scores_codex":[0.9997979,0.00003983912,0.00001010852,0.00006948822,0.00003661437,0.00004614769],"domain_scores_gemma":[0.9996346,0.00007145809,0.000122046,0.00002336058,0.00005278178,0.00009577555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008872639,0.00008748808,0.7911772,0.00002129384,0.0001399061,0.00009920489,0.00169261,0.0003361065,0.20221,0.000256313,0.0001252426,0.002967269],"study_design_scores_gemma":[0.000004843162,0.00005947737,0.9988021,0.000001197055,0.00001208107,0.00002115189,0.0002753142,0.0001764326,0.0005418935,0.00003947899,0.00006302579,0.000003180582],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998552,0.000007405209,0.00003436267,0.000004613755,4.272447e-7,5.103808e-7,0.00002845269,0.000001044501,0.00006796734],"genre_scores_gemma":[0.9996674,0.000004779631,0.00003898286,0.00001077406,0.000001188889,0.000002708836,0.00004706471,0.000002329535,0.0002247313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007662713,"threshold_uncertainty_score":0.0152362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01655716781025783,"score_gpt":0.2170114450155424,"score_spread":0.2004542772052846,"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."}}