{"id":"W4225817409","doi":"10.1111/cobi.13911","title":"The immediate costs and long‐term benefits of assisted gene flow in large populations","year":2022,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of British Columbia","funders":"","keywords":"Inbreeding depression; Population; Biology; Outbreeding depression; Trait; Inbreeding; Population fragmentation; Gene flow; Evolutionary biology; Genetic variation; Genetics; Gene; Medicine; Environmental health; Computer science","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":[0.00111708,0.0003512155,0.0003783438,0.0002184782,0.0008039606,0.0006954999,0.0006577975,0.0006078088,0.001346383],"category_scores_gemma":[0.004925468,0.0001954016,0.0004894644,0.0002530434,0.0008416164,0.001305894,0.000674806,0.000644362,0.0001235085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008822629,"about_ca_system_score_gemma":0.0006425425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003107803,"about_ca_topic_score_gemma":0.00533719,"domain_scores_codex":[0.9996924,0.0001358489,0.00001640807,0.0000720203,0.00004083741,0.00004244556],"domain_scores_gemma":[0.997911,0.001420852,0.0002139578,0.0001755341,0.0001340434,0.0001445097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004878034,0.0002613108,0.07523714,0.0002590944,0.0004206091,0.0007546871,0.0004654639,0.8526982,0.03151124,0.01334416,0.0007647739,0.02379558],"study_design_scores_gemma":[0.0001884222,0.001771913,0.06961737,0.00005590044,0.0003341825,0.0004411745,0.0008219141,0.8913686,0.007026542,0.02573902,0.002507303,0.0001277603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939719,0.0001006191,0.004655587,0.0001247492,0.00001269151,0.00001150865,0.0000592069,0.00002971188,0.001034126],"genre_scores_gemma":[0.9980232,0.00006238789,0.001628898,0.00003606941,0.000003239854,0.00002383324,0.00005207138,0.000007575464,0.0001628138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003107803,"threshold_uncertainty_score":0.00640136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06840419647168693,"score_gpt":0.2849795373221448,"score_spread":0.2165753408504579,"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."}}