{"id":"W2153433693","doi":"10.1577/m04-080.1","title":"DNA-Level Variation of Sockeye Salmon in Southeast Alaska and the Nass and Skeena Rivers, British Columbia, with Applications to Stock Identification","year":2005,"lang":"en","type":"article","venue":"North American Journal of Fisheries Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Alaska Department of Fish and Game","keywords":"Oncorhynchus; Stock (firearms); Microsatellite; Population; Fishery; Geography; Biology; Allele; Archaeology; 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":[0.0003927053,0.0001415855,0.0001225733,0.0006852905,0.0004120505,0.0003412968,0.0001793759,0.0001142634,0.0006982866],"category_scores_gemma":[0.0008416878,0.0001001891,0.0001050003,0.0007747569,0.0002832065,0.000107603,0.0002100467,0.00009201951,0.00008860513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110563,"about_ca_system_score_gemma":0.0007222425,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.409018,"about_ca_topic_score_gemma":0.6929756,"domain_scores_codex":[0.9998378,0.00002808775,0.00001749418,0.00003891112,0.00005776972,0.00001993958],"domain_scores_gemma":[0.999421,0.00009411173,0.0001090273,0.00002045486,0.0002672651,0.00008822987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007065106,0.00001156293,0.9934754,0.00001016142,0.0000293428,0.00005843381,0.0004763399,0.0002785951,0.002998281,0.00002442697,0.00006516774,0.002501706],"study_design_scores_gemma":[0.000001660528,0.00001358911,0.9990988,0.000003513498,0.000005663513,0.00001641576,0.0004721373,0.0001596692,0.0001139527,0.000005606721,0.0001078025,0.000001331096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996828,0.00002306231,0.0000247561,0.000002798809,5.282984e-7,0.00000149971,0.0001093299,8.953587e-7,0.0001545023],"genre_scores_gemma":[0.9993661,0.00002421727,0.00009618272,0.000003237584,3.29994e-7,0.000004295488,0.0002978665,5.955825e-7,0.0002071129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.590982,"threshold_uncertainty_score":0.8132746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005571099040893711,"score_gpt":0.1854871651279834,"score_spread":0.1799160660870897,"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."}}