{"id":"W2023711945","doi":"10.1046/j.1365-294x.2003.01869.x","title":"Bimodal run distribution in a northern population of sockeye salmon (<i>Oncorhynchus nerka</i>): life history and genetic analysis on a temporal scale","year":2003,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Oncorhynchus; Biology; Scale (ratio); Demographic history; Population; Ecology; Fishery; Zoology; Demography; Genetic variation; Fish <Actinopterygii>; Genetics; Cartography; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001471088,0.0001063772,0.0002393677,0.00009656521,0.00005364238,0.000002083242,0.00006433537,0.00009747939,0.000183442],"category_scores_gemma":[0.00006782346,0.0001117552,0.00005558119,0.0002557772,0.0001591869,0.00003449219,0.00006674995,0.0000747247,0.0000182955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003170484,"about_ca_system_score_gemma":0.000009922904,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006588367,"about_ca_topic_score_gemma":0.06984787,"domain_scores_codex":[0.9990304,0.000170441,0.0002213094,0.0002875448,0.00009545261,0.0001948471],"domain_scores_gemma":[0.9996706,0.00002616943,0.0001107187,0.0001450222,0.000005533342,0.00004196108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002087252,0.0001255923,0.9945698,0.000005529174,0.00006253961,0.00002405758,0.00006783196,0.004323518,0.0002469252,0.0001005771,0.0003086027,0.0001441168],"study_design_scores_gemma":[0.0003517463,0.0001590719,0.9978493,0.000001411472,0.0001177699,0.000001198484,0.0000249303,0.0005659225,0.0000591046,0.0003878988,0.0003826166,0.00009899871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976268,0.00005882786,0.0005908369,0.0001937075,0.00005518468,0.000183188,0.000003381818,0.00001064567,0.001277469],"genre_scores_gemma":[0.9992414,0.00001567386,0.0002076575,0.0004052704,0.000003154014,0.00003025665,0.00003525573,0.000005907704,0.00005546874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06918903,"threshold_uncertainty_score":0.947125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004694192976225236,"score_gpt":0.1897638613493375,"score_spread":0.1850696683731123,"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."}}