{"id":"W2065815003","doi":"10.1046/j.1365-2540.2001.00867.x","title":"Genetic structure and relationships among steelhead trout (Oncorhynchus mykiss) populations in British Columbia","year":2001,"lang":"en","type":"article","venue":"Heredity","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Government of British Columbia; University of Northern British Columbia","funders":"Ministry of Environment","keywords":"Tributary; Biology; Rainbow trout; Fish migration; Population; Trout; Genetic variation; Microsatellite; Range (aeronautics); Zoology; Ecology; Fishery; Habitat; Allele; Genetics; Geography; Demography; Fish <Actinopterygii>","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":[0.0006196682,0.0002369525,0.0003560022,0.002447844,0.001992007,0.000835138,0.0007940298,0.0003015648,0.001078326],"category_scores_gemma":[0.001308432,0.0002861946,0.0001719759,0.002831539,0.001783423,0.000238401,0.0007409112,0.0003945613,0.0001649671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007907771,"about_ca_system_score_gemma":0.004533396,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9039589,"about_ca_topic_score_gemma":0.9711525,"domain_scores_codex":[0.9993987,0.00009060572,0.00004157583,0.0001743788,0.0001283773,0.0001663051],"domain_scores_gemma":[0.998387,0.0002079424,0.0002629398,0.00005829173,0.0006614809,0.0004224423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004193713,0.00007596103,0.9758505,0.00003336262,0.0001621436,0.0001776906,0.004646555,0.0005859057,0.01061216,0.0003464937,0.0002906965,0.006799082],"study_design_scores_gemma":[0.000006308865,0.00001263168,0.9986123,0.000006161592,0.00001497704,0.00002533382,0.0008280881,0.0002040711,0.0001030933,0.00003119853,0.0001503827,0.000005530173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995741,0.00004077919,0.00003917973,0.00001148713,6.660516e-7,0.000002424011,0.00007949001,0.000001942839,0.0002498424],"genre_scores_gemma":[0.9993628,0.0000420203,0.00006341827,0.0000108583,5.952563e-7,0.000004173301,0.0001368777,0.000002278261,0.0003770363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09604114,"threshold_uncertainty_score":0.1932135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0279498259597188,"score_gpt":0.237854318247299,"score_spread":0.2099044922875802,"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."}}