{"id":"W2337195214","doi":"10.1111/mec.13647","title":"Conservation genomics of natural and managed populations: building a conceptual and practical framework","year":2016,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":170,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"National Aeronautics and Space Administration; University of Montana; National Science Foundation","keywords":"Biology; Genomics; Population genomics; Natural (archaeology); Evolutionary biology; Conceptual framework; Computational biology; Ecology; Environmental resource management; Genome; Genetics; Paleontology; Epistemology","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":[0.0686407,0.001948203,0.002299824,0.008726122,0.006599375,0.0236448,0.009280377,0.01070498,0.002692943],"category_scores_gemma":[0.03526608,0.001392207,0.00147123,0.005042299,0.06246579,0.02903886,0.01226961,0.01503333,0.0004719574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01328982,"about_ca_system_score_gemma":0.01932416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01200121,"about_ca_topic_score_gemma":0.009505998,"domain_scores_codex":[0.9788426,0.01581181,0.001179033,0.001456791,0.001840978,0.0008688297],"domain_scores_gemma":[0.9620355,0.02846343,0.001929431,0.002395913,0.002474758,0.002701023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001183265,0.00006908837,0.0008303546,0.000501474,0.00002873143,0.0002612438,0.004388985,0.003842482,0.0002616328,0.9673318,0.002345501,0.02012705],"study_design_scores_gemma":[0.00001009072,0.00003813205,0.0005286162,0.001112397,0.00002052062,0.0001263424,0.004175859,0.004950437,0.0001619859,0.9463895,0.04244601,0.0000400233],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01050928,0.03344913,0.6081212,0.3094722,0.001582298,0.0005908556,0.0001779263,0.0002580149,0.03583909],"genre_scores_gemma":[0.259124,0.03101643,0.6781532,0.02314496,0.003685188,0.001966114,0.000305183,0.0002250572,0.002379917],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0686407,"threshold_uncertainty_score":0.3630111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657986184293305,"score_gpt":0.2721863639003629,"score_spread":0.2556065020574299,"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."}}