{"id":"W2009749894","doi":"10.1139/f08-108","title":"The influence of hydrographic structure and seasonal run timing on genetic diversity and isolation-by-distance in chum salmon (Oncorhynchus keta)","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; U.S. Fish and Wildlife Service; Arctic-Yukon-Kuskokwim Sustainable Salmon Initiative","keywords":"Oncorhynchus; Spawn (biology); Isolation by distance; Tributary; Biological dispersal; Ecology; Genetic diversity; Gene flow; Biology; Hydrography; Population; Reproductive isolation; Geography; Fishery; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003782297,0.0001235057,0.0001341218,0.0005204868,0.0002709254,0.0003135319,0.0001547712,0.0001382187,0.0003835612],"category_scores_gemma":[0.001343759,0.0001241889,0.0001435494,0.0003942852,0.0004918288,0.0001821907,0.0003408379,0.0001504839,0.00004692016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003506961,"about_ca_system_score_gemma":0.0002845443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0186915,"about_ca_topic_score_gemma":0.04956,"domain_scores_codex":[0.9997395,0.0000956681,0.00002218589,0.0000595875,0.00004079239,0.00004233623],"domain_scores_gemma":[0.9988866,0.0003492128,0.0003582875,0.00004892245,0.00009644162,0.0002605335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006171861,0.0000148394,0.9951504,0.000005179595,0.00006221935,0.00003790061,0.0002805897,0.0001801902,0.002737174,0.00002050045,0.00001629421,0.00143296],"study_design_scores_gemma":[9.699741e-7,0.00002288734,0.9996133,7.389835e-7,0.000006596635,0.00001317506,0.0001016019,0.0001666026,0.00004878955,0.00001022666,0.00001383948,0.00000120332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999084,0.00001212182,0.00002072707,0.000002518124,2.500485e-7,4.125388e-7,0.00001455579,5.405847e-7,0.00004037191],"genre_scores_gemma":[0.9998969,0.000007389025,0.00003519467,0.000002137587,5.937852e-7,0.000001020572,0.00003499663,4.927504e-7,0.00002117289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0186915,"threshold_uncertainty_score":0.0371654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009664159025230573,"score_gpt":0.183128755714784,"score_spread":0.1734645966895534,"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."}}