{"id":"W1837049849","doi":"10.1139/cjfas-2012-0510","title":"Cryptic population structure in the severely depleted cowcod,<i>Sebastes levis</i>","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sebastes; Biology; Population bottleneck; Ecology; Population; Genetic structure; Effective population size; Genetic divergence; Abundance (ecology); Population size; Genetic diversity; Fishery; Microsatellite; Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002141183,0.00009894607,0.0001429039,0.0005658341,0.0003759588,0.0002997177,0.0002104923,0.0001565308,0.0008087287],"category_scores_gemma":[0.0004061811,0.0001143664,0.00008830267,0.0002482587,0.0006390386,0.0001349264,0.0003551175,0.0002177627,0.00008205677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004656987,"about_ca_system_score_gemma":0.0003210412,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02550523,"about_ca_topic_score_gemma":0.07170587,"domain_scores_codex":[0.9999026,0.00001174847,0.000007261833,0.00004317206,0.00001331057,0.00002188795],"domain_scores_gemma":[0.9997281,0.00003179467,0.0001125713,0.00002091646,0.00005182337,0.00005465398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001238596,0.00001939933,0.9808996,0.000008831799,0.00002122898,0.0001091203,0.0009622459,0.0001569399,0.01358878,0.0001193465,0.00007344495,0.003917279],"study_design_scores_gemma":[0.000002704644,0.00002402413,0.9991888,0.000003249952,0.000003220499,0.00007085241,0.0003251282,0.0001483837,0.0001419358,0.00001926162,0.00006991698,0.000002453917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999021,0.000007781442,0.00001858477,0.00000378302,2.573437e-7,4.635121e-7,0.00001453345,4.562738e-7,0.00005196256],"genre_scores_gemma":[0.99981,0.000007396872,0.00005373971,0.000005006731,5.045933e-7,0.000001099043,0.00004579882,4.240156e-7,0.00007598301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9744948,"threshold_uncertainty_score":0.0507136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01604175612032023,"score_gpt":0.2143707538054944,"score_spread":0.1983289976851742,"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."}}