{"id":"W1761536648","doi":"10.1111/mec.13280","title":"A clever solution to a vexing problem","year":2015,"lang":"en","type":"letter","venue":"Molecular Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Mutation rate; Locus (genetics); Mutation; Gene flow; Inference; Evolutionary biology; Genetics; Genetic variation; Gene; Computer science; Artificial intelligence","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":[0.02092088,0.001346591,0.001875304,0.00117046,0.003804966,0.005041108,0.002839663,0.02616585,0.008686976],"category_scores_gemma":[0.08816995,0.0005062746,0.00129676,0.0006425324,0.01184285,0.009979254,0.003244672,0.05382793,0.008104977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003473355,"about_ca_system_score_gemma":0.003254551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001165357,"about_ca_topic_score_gemma":0.001270922,"domain_scores_codex":[0.9893199,0.004228184,0.0009544872,0.002301039,0.002691278,0.000505127],"domain_scores_gemma":[0.9450845,0.03664956,0.001629297,0.004416113,0.00964702,0.00257354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008573329,0.0000552718,0.0003968087,0.0001654825,0.00006278754,0.001150225,0.0003892618,0.0002587163,0.0003961861,0.08449529,0.8521495,0.06039468],"study_design_scores_gemma":[0.00009417065,0.0000736374,0.0005002188,0.0003698186,0.00003064299,0.003688326,0.0005663864,0.001001609,0.000353197,0.2757024,0.7175196,0.00009993353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003146772,0.00353136,0.004123478,0.9710806,0.01876955,0.00001212063,0.00004861321,0.00009301848,0.002026471],"genre_scores_gemma":[0.01181169,0.005252252,0.01492345,0.8888571,0.06591234,0.0001530932,0.000089464,0.0001381434,0.01286242],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02616585,"threshold_uncertainty_score":0.1106415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441417348923353,"score_gpt":0.2348986194085673,"score_spread":0.2204844459193337,"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."}}