{"id":"W1534365470","doi":"10.1111/ecog.01102","title":"Population diversity in salmon: linkages among response, genetic and life history diversity","year":2015,"lang":"en","type":"article","venue":"Ecography","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Simon Fraser University","funders":"Simon Fraser University","keywords":"Ecology; Population; Asynchrony (computer programming); Diversity (politics); Biology; Genetic diversity; Metapopulation; Life history theory; Population viability analysis; Habitat; Biological dispersal; Demography; Life history; Endangered species","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":[0.0003155428,0.00006818549,0.00008888885,0.00009936534,0.0002334286,0.000003406922,0.0001011561,0.0000481764,0.0001700011],"category_scores_gemma":[0.0000498999,0.00007389815,0.00002395921,0.0001309989,0.0002116524,0.0001608353,0.001471454,0.00006392122,0.00003073158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001195041,"about_ca_system_score_gemma":0.000001582024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001734666,"about_ca_topic_score_gemma":0.005149959,"domain_scores_codex":[0.9994032,0.00009196046,0.00007147428,0.0001934402,0.0001121251,0.0001277869],"domain_scores_gemma":[0.9997607,0.00003166395,0.00003910025,0.00008922038,0.000003061908,0.00007628511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004179168,0.00002621385,0.9619107,0.00000234129,0.000009373512,0.00001034958,0.001151245,0.00006978422,6.580001e-7,0.000003608458,0.03666448,0.0001094008],"study_design_scores_gemma":[0.0002831891,0.00004760807,0.9971403,0.000001835484,0.00001393242,1.725018e-7,0.000181249,0.00003509474,3.208062e-7,0.0004765319,0.001734233,0.00008547552],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953072,0.0001249437,0.00001057381,0.0002295355,0.0001519901,0.0001073073,9.915631e-7,0.00002749465,0.004039934],"genre_scores_gemma":[0.9991455,0.00005226982,0.0001637243,0.0003667383,0.000008468794,0.000002860097,0.000001613166,0.000002363793,0.0002564398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0352296,"threshold_uncertainty_score":0.3013479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02429892823005118,"score_gpt":0.1926679742607653,"score_spread":0.1683690460307141,"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."}}