{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005798831,0.00009682025,0.0001829841,0.0005671727,0.0003779723,0.000390103,0.0001382946,0.00024481,0.001212047],"category_scores_gemma":[0.0015774,0.0001252431,0.0001455886,0.0005784649,0.0005544035,0.0002457246,0.0004145919,0.0003258736,0.00006693306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005811828,"about_ca_system_score_gemma":0.0003087805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02603421,"about_ca_topic_score_gemma":0.08122192,"domain_scores_codex":[0.9997143,0.00008982127,0.00001649872,0.00009509156,0.00004311797,0.00004117078],"domain_scores_gemma":[0.9991649,0.0002526114,0.0002792971,0.00008072644,0.0000899681,0.0001325487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004474548,0.00001911565,0.9922886,0.00001151675,0.00008931818,0.00001365165,0.0002483404,0.0002741537,0.002546358,0.00006610318,0.00003935166,0.004358633],"study_design_scores_gemma":[5.592367e-7,0.00001057602,0.9995798,0.00000133719,0.000004368437,0.00001032876,0.00008001397,0.0002123462,0.00002911066,0.00004194338,0.00002827419,0.000001406347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995291,0.00008445414,0.000147322,0.00002434272,9.070479e-7,0.00000156153,0.00004675623,0.000001898979,0.0001636076],"genre_scores_gemma":[0.9997634,0.00002274233,0.00007280025,0.000008051412,0.000001706743,0.000001725324,0.00004593837,7.799049e-7,0.00008290684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02603421,"threshold_uncertainty_score":0.05176532,"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."}}