{"id":"W6901957894","doi":"10.6084/m9.figshare.12872993.v1","title":"Additional file 7 of Application of site and haplotype-frequency based approaches for detecting selection signatures in cattle","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Guelph","funders":"","keywords":"Selection (genetic algorithm); Feature selection; Pattern recognition (psychology); Signature (topology); Identification (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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001729458,0.0008553336,0.0009443959,0.003045218,0.0007389259,0.001574206,0.00171912,0.0009998993,0.8581962],"category_scores_gemma":[0.01774398,0.0007356181,0.001097659,0.003391899,0.0003057556,0.001219395,0.0009967468,0.0007960901,0.2529656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007160461,"about_ca_system_score_gemma":0.001172601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008192504,"about_ca_topic_score_gemma":0.0149476,"domain_scores_codex":[0.9994295,0.000099044,0.00006829908,0.0001472948,0.0001481314,0.0001077357],"domain_scores_gemma":[0.9849662,0.01132861,0.000533418,0.001005891,0.001775808,0.0003901081],"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":[0.0003330483,0.00009959215,0.003779041,0.001356113,0.00008312447,0.00008618637,0.0001164361,0.000571872,0.0002950117,0.0006227102,0.9798289,0.01282782],"study_design_scores_gemma":[0.005056936,0.0002362707,0.05769582,0.001672906,0.0003272901,0.0005649522,0.0005937725,0.005435012,0.00284425,0.01259849,0.9127451,0.0002291032],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003814239,0.00001771373,0.0007792405,0.00006687883,0.00003704484,0.00006925244,0.9955212,0.001470001,0.001657237],"genre_scores_gemma":[0.01507067,0.0001404221,0.01707717,0.0004491909,0.0001233542,0.001558574,0.9427929,0.005478133,0.01730965],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8581962,"threshold_uncertainty_score":0.2022659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02558610362743591,"score_gpt":0.2203694353838037,"score_spread":0.1947833317563678,"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."}}