{"id":"W2152833972","doi":"10.1111/j.1365-294x.2007.03414.x","title":"Molecular ecological approaches to studying the evolutionary impact of selective harvesting in wildlife","year":2007,"lang":"en","type":"review","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":135,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Biology; Genetic diversity; Evolutionary biology; Population; Wildlife; Selection (genetic algorithm); Ecological genetics; Trait; Ecology; Genetic drift; Effective population size; Phenotypic trait; Genetic variation; Population size; Genetics; Phenotype; Gene; Demography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002489349,0.0007593601,0.0005724107,0.00280053,0.0005358694,0.001081471,0.001371935,0.00129108,0.002211649],"category_scores_gemma":[0.002727607,0.0004775478,0.0007187373,0.002174583,0.001156533,0.001715243,0.00098901,0.002183018,0.0006843908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008983754,"about_ca_system_score_gemma":0.0006700133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001946332,"about_ca_topic_score_gemma":0.002985046,"domain_scores_codex":[0.999136,0.0003710031,0.00006577498,0.0002152524,0.000148251,0.00006365003],"domain_scores_gemma":[0.9977751,0.0009232808,0.0007831009,0.000164531,0.000218644,0.0001353271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002974085,0.0008906318,0.05913931,0.001873654,0.0006078394,0.0006676755,0.0007390997,0.0117602,0.6956819,0.04312981,0.001513986,0.1836985],"study_design_scores_gemma":[0.0002898531,0.003209812,0.5834867,0.0007782449,0.001324896,0.003415609,0.003064963,0.05156514,0.1479828,0.1000732,0.1044385,0.0003701974],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.398731,0.02901011,0.5250684,0.00723228,0.0008042077,0.001172282,0.004006145,0.000741548,0.03323404],"genre_scores_gemma":[0.422297,0.02367014,0.5383546,0.003886307,0.0004670683,0.001594645,0.002156897,0.0001163479,0.007457007],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00280053,"threshold_uncertainty_score":0.01316506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1094096099325308,"score_gpt":0.3269763047595899,"score_spread":0.217566694827059,"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."}}