{"id":"W2462071011","doi":"10.1111/eva.12402","title":"When gene flow really matters: gene flow in applied evolutionary biology","year":2016,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Society for the Study of Evolution; National Science Foundation","keywords":"Biology; Gene flow; Evolutionary biology; Flow (mathematics); Gene; Computational biology; Genetics; Genetic variation; Mechanics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.008850153,0.0008273973,0.001782386,0.002629537,0.003568991,0.01026446,0.00166723,0.005299967,0.005846631],"category_scores_gemma":[0.02267755,0.0004234098,0.0007526044,0.002906027,0.01575885,0.01296479,0.003754265,0.01101343,0.001489355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003050669,"about_ca_system_score_gemma":0.001653362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00152366,"about_ca_topic_score_gemma":0.001564833,"domain_scores_codex":[0.9946478,0.003378293,0.0002392176,0.0006572812,0.0007620183,0.0003152755],"domain_scores_gemma":[0.9775321,0.01943612,0.0006462327,0.0006147958,0.001212059,0.0005586463],"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":[0.00007810885,0.00006081128,0.004324283,0.001399713,0.0001084687,0.0006234228,0.01424285,0.0006465485,0.000512686,0.5417206,0.2473811,0.1889013],"study_design_scores_gemma":[0.000009453624,0.00005227012,0.003027783,0.001538151,0.00003846097,0.0003845373,0.003630131,0.0008380157,0.0001842379,0.4747714,0.5154665,0.00005908262],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007334924,0.3855884,0.02139583,0.4765718,0.07807753,0.00003516876,0.0001258052,0.0001271671,0.03074334],"genre_scores_gemma":[0.1694391,0.2804632,0.01248504,0.1534037,0.3593424,0.0001422607,0.0002138773,0.0005821643,0.02392809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01026446,"threshold_uncertainty_score":0.04680467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949312633542659,"score_gpt":0.2363797503471954,"score_spread":0.2168866240117688,"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."}}