{"id":"W6939443680","doi":"10.6084/m9.figshare.12872978.v1","title":"Additional file 2 of Application of site and haplotype-frequency based approaches for detecting selection signatures in cattle","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","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); Distribution (mathematics); Genome","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":[0.00213524,0.001137604,0.001434107,0.002735487,0.001182158,0.001903029,0.002452344,0.001190257,0.8532318],"category_scores_gemma":[0.02652548,0.0007410916,0.0011115,0.00393862,0.0003853828,0.001675038,0.001215992,0.001059726,0.1777995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008625847,"about_ca_system_score_gemma":0.001566919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009131813,"about_ca_topic_score_gemma":0.0191471,"domain_scores_codex":[0.9991517,0.0001451538,0.0001153734,0.0002588302,0.0001897129,0.0001391814],"domain_scores_gemma":[0.9805816,0.01533648,0.0006700943,0.001174546,0.001746338,0.0004910427],"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":[0.0003867483,0.0001115454,0.005012084,0.002574562,0.0001045464,0.0001245108,0.000133348,0.0006841155,0.0004214777,0.0007426279,0.9790512,0.01065311],"study_design_scores_gemma":[0.008500058,0.0005756203,0.08137884,0.003805803,0.0005704255,0.001263045,0.001022933,0.007124763,0.003215697,0.01616349,0.8760025,0.0003767662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000221044,0.00001155535,0.0004809142,0.00004478396,0.00002055606,0.00004973474,0.9980496,0.0005552466,0.0005665967],"genre_scores_gemma":[0.01173092,0.00009023291,0.008329998,0.000480412,0.0001037277,0.001338025,0.9673086,0.002267972,0.008350012],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8532318,"threshold_uncertainty_score":0.209347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03529350061169084,"score_gpt":0.2055384291452466,"score_spread":0.1702449285335558,"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."}}