{"id":"W1986824272","doi":"10.1111/j.1365-294x.2008.03842.x","title":"Genetic estimates of contemporary effective population size: what can they tell us about the importance of genetic stochasticity for wild population persistence?","year":2008,"lang":"en","type":"review","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":673,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Population; Population size; Gene flow; Effective population size; Small population size; Habitat fragmentation; Genetic drift; Extinction (optical mineralogy); Evolutionary biology; Population genetics; Selection (genetic algorithm); Genetic variation; Statistics; Ecology; Genetics; Demography; Habitat; Gene; Computer science; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000143678,0.0004651193,0.001182842,0.000103509,0.0001628041,0.00002178209,0.00044914,0.000698743,0.0000130169],"category_scores_gemma":[0.000380926,0.0003858677,0.0006697134,0.0001482064,0.0002114614,0.000008195952,0.0001575891,0.0001753953,0.000001084368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005553214,"about_ca_system_score_gemma":0.0002033491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001865432,"about_ca_topic_score_gemma":0.0003089583,"domain_scores_codex":[0.9976544,0.0003325313,0.0008561746,0.0006288065,0.0002175231,0.0003105489],"domain_scores_gemma":[0.9976178,0.0002181108,0.001202506,0.0006297856,0.0002541973,0.00007756487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008963344,0.0005527005,0.634176,0.02055202,0.004996674,0.00009433226,0.001073982,0.0292529,0.00310532,0.0003159011,0.0008942948,0.3040896],"study_design_scores_gemma":[0.002351342,0.002116686,0.9506046,0.001878052,0.002751833,0.0004111324,0.000148257,0.0003852025,0.0008684015,0.0009684615,0.03594866,0.001567401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3097323,0.6857852,0.001383792,0.00001613412,0.00033521,0.002511807,0.0002079085,0.000008473423,0.00001919298],"genre_scores_gemma":[0.582597,0.4138256,0.002100167,0.0001175412,0.00008903562,0.0001676137,0.001026295,0.00005427875,0.00002247683],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.3164286,"threshold_uncertainty_score":0.9998593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01963297856203059,"score_gpt":0.2709130398600472,"score_spread":0.2512800612980166,"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."}}