{"id":"W2992216185","doi":"10.1016/j.tree.2019.10.012","title":"Using Haplotype Information for Conservation Genomics","year":2019,"lang":"en","type":"review","venue":"Trends in Ecology & Evolution","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":131,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Haplotype; Genomics; Computational biology; Biology; Evolutionary biology; Computer science; Genetics; Genome; Gene; Allele","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002106301,0.0002567056,0.0005503343,0.0002873163,0.00006092306,0.0000125396,0.0001920226,0.000778647,0.000017163],"category_scores_gemma":[0.00006138258,0.0002662636,0.0002001213,0.000170165,0.00006390812,0.00001080639,0.00007002172,0.0001496784,0.00002984235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002321697,"about_ca_system_score_gemma":0.0003982328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001847114,"about_ca_topic_score_gemma":0.0001171024,"domain_scores_codex":[0.9987146,0.000100835,0.0005487421,0.0002989273,0.00005682046,0.0002800477],"domain_scores_gemma":[0.9991808,0.0000369745,0.0003753445,0.0003023164,0.00007235209,0.00003219456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001195502,0.0001189577,0.001294685,0.003516417,0.0002398791,1.304679e-7,0.00007362141,0.003582759,0.000050928,0.007273405,0.004282225,0.9794474],"study_design_scores_gemma":[0.000543083,0.0003525126,0.00692312,0.0002088333,0.000330393,0.00001931781,0.00001301098,0.0004371029,0.000003681145,0.0005310444,0.9903084,0.0003295253],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003265372,0.9686093,0.02464228,0.00002450101,0.001570165,0.001070666,0.0002002364,0.00002047091,0.0005969512],"genre_scores_gemma":[0.002687091,0.9384521,0.04751221,0.0001844506,0.0007260843,0.0003857923,0.008652842,0.0000969884,0.00130243],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9860262,"threshold_uncertainty_score":0.999979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07315435819622663,"score_gpt":0.3418734990844501,"score_spread":0.2687191408882235,"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."}}