{"id":"W1919326032","doi":"10.1111/j.1365-294x.2006.02923.x","title":"Unravelling first‐generation pedigrees in wild endangered salmon populations using molecular genetic markers","year":2006,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Pedigree chart; Endangered species; Evolutionary biology; Genetics; Genetic marker; Ecology; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001382161,0.0001560071,0.0001681001,0.0001054126,0.0002069255,0.0000145993,0.0001306789,0.000125633,0.0004736154],"category_scores_gemma":[0.00002529113,0.0001822845,0.00005026274,0.0002234893,0.0001262244,0.000060782,0.000165886,0.00009575421,0.00006855273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002278982,"about_ca_system_score_gemma":0.000006870811,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142641,"about_ca_topic_score_gemma":0.0572905,"domain_scores_codex":[0.9987572,0.0001092506,0.0002714997,0.0003786025,0.0001200589,0.0003633282],"domain_scores_gemma":[0.9996763,0.0000209328,0.00008547647,0.0001808324,0.00000661363,0.00002977833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006905282,0.00007947267,0.6851416,0.000005712268,0.0000123525,0.0001933884,0.00004752946,0.303739,0.008577486,0.0004096623,0.001647821,0.0001390663],"study_design_scores_gemma":[0.0003356475,0.00005251428,0.9656443,0.000003715242,0.00004151584,0.00001122273,0.00002368028,0.02982432,0.001025513,0.002308189,0.0005238697,0.0002055276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818262,0.00005264253,0.01307047,0.0006906398,0.0002053631,0.0003205276,0.000001603693,0.00002961491,0.003802882],"genre_scores_gemma":[0.9903284,0.00001321396,0.008865486,0.0005012733,0.00002903109,0.00004610457,0.00002648515,0.00001823996,0.0001718135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2805027,"threshold_uncertainty_score":0.9599115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385266397747714,"score_gpt":0.2218139242025885,"score_spread":0.2079612602251114,"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."}}