{"id":"W2520537024","doi":"","title":"Genetic Population Structure and Dynamics of nearctic Bering Cisco and Applied Mixed-Stock Analysis of the Yukon River Commercial Fishery","year":2015,"lang":"en","type":"dissertation","venue":"ScholarWorks - UA (University of Alaska System)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Fishery; Population; Geography; Nearctic ecozone; Oceanography; Geology; Ecology; Biology; Demography; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000494674,0.0001719727,0.0002629975,0.00103184,0.0008546615,0.000680993,0.0005059572,0.000265901,0.001423238],"category_scores_gemma":[0.0009871112,0.0001525187,0.0002035834,0.001403616,0.000494685,0.0002241828,0.0005352198,0.0002156223,0.0001352786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588486,"about_ca_system_score_gemma":0.001074316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.288428,"about_ca_topic_score_gemma":0.4811422,"domain_scores_codex":[0.9997792,0.00004674898,0.00001407227,0.00009754389,0.00001943368,0.00004301973],"domain_scores_gemma":[0.9995905,0.00008899447,0.00005826367,0.00004839062,0.0001566986,0.00005724048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008514897,0.00002851772,0.9867486,0.00001014715,0.00009549993,0.0001077639,0.002403136,0.001090112,0.003490231,0.0004862839,0.00008010495,0.005374491],"study_design_scores_gemma":[0.000003025133,0.00001618011,0.9944449,0.00001229012,0.0000292335,0.00004282502,0.002503826,0.002426476,0.0002346576,0.00006960607,0.0002107206,0.00000611773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997192,0.00001546545,0.00005265818,0.000004367859,4.611005e-7,0.000001741387,0.00004982824,4.595649e-7,0.0001557983],"genre_scores_gemma":[0.9995267,0.00002011102,0.0001047191,0.000003915447,3.05151e-7,0.000003336989,0.0001208546,0.000001000769,0.0002189503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.288428,"threshold_uncertainty_score":0.5734982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01178391642587537,"score_gpt":0.1991100268937221,"score_spread":0.1873261104678467,"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."}}