{"id":"W2982539868","doi":"10.1126/science.aaz1576","title":"Mapping footprints of past genetic exchange","year":2019,"lang":"en","type":"letter","venue":"Science","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Biotechnology and Biological Sciences Research Council; Natural Environment Research Council; Sight Research UK","keywords":"Computational biology; Evolutionary biology; Biology","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":[0.0007931265,0.000170465,0.0002026427,0.0003902073,0.0006746787,0.000837973,0.0003887885,0.003390929,0.002799313],"category_scores_gemma":[0.002698303,0.0001660163,0.0001757655,0.0003311972,0.0009590225,0.0005855064,0.0004866451,0.003223961,0.0008821095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008665605,"about_ca_system_score_gemma":0.0001641778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002631607,"about_ca_topic_score_gemma":0.009486305,"domain_scores_codex":[0.9997357,0.00005831261,0.0000197886,0.00005337783,0.00007932821,0.00005344471],"domain_scores_gemma":[0.9967073,0.002185869,0.0002596266,0.0002798279,0.0003019757,0.0002652866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002671222,0.000175261,0.1010189,0.0003572774,0.0002676872,0.01747294,0.002509891,0.000985537,0.1612973,0.02337399,0.3240151,0.3658549],"study_design_scores_gemma":[0.0003137554,0.0004260351,0.2492241,0.0002889337,0.0002109936,0.01688629,0.003391086,0.002276092,0.04540519,0.04319099,0.6382284,0.0001581572],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4123931,0.01149953,0.0075301,0.5176526,0.01384567,0.00004011129,0.001180338,0.0003030538,0.03555545],"genre_scores_gemma":[0.8421233,0.004078323,0.002541773,0.1157357,0.01171793,0.00004173518,0.0003663822,0.00008429692,0.02331058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003390929,"threshold_uncertainty_score":0.009364605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0280043542704445,"score_gpt":0.2140907203470878,"score_spread":0.1860863660766433,"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."}}