{"id":"W6910969724","doi":"10.5061/dryad.9v2362d","title":"Data from: “Balancing” balancing selection? Assortative mating at the major histocompatibility complex despite molecular signatures of balancing selection","year":2019,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Nonsynonymous substitution; Balancing selection; Major histocompatibility complex; Assortative mating; Mating preferences; Allele; Synonymous substitution; MHC class I; Molecular evolution","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":[0.000992267,0.000581426,0.0006379733,0.001230256,0.0007145301,0.0007713373,0.0006799251,0.0009348512,0.03000608],"category_scores_gemma":[0.001575992,0.0001963617,0.0003627296,0.001523452,0.0006150506,0.0003911346,0.0006115632,0.000853105,0.0113948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002980715,"about_ca_system_score_gemma":0.0003341639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001641196,"about_ca_topic_score_gemma":0.002585492,"domain_scores_codex":[0.9990879,0.0001810861,0.0001620026,0.0002130999,0.0002269523,0.0001288502],"domain_scores_gemma":[0.9980615,0.0006459911,0.0003145732,0.000387714,0.0003165528,0.0002736377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009696006,0.00157988,0.335558,0.005544002,0.002281592,0.002712193,0.00337874,0.001151386,0.4311909,0.005253315,0.06835043,0.1333037],"study_design_scores_gemma":[0.0003451356,0.0008433025,0.684534,0.0003204225,0.0006420407,0.002817918,0.0009499257,0.0006445221,0.02796167,0.001377822,0.2794725,0.00009083912],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.814744,0.007221329,0.007126078,0.001943913,0.0008885458,0.0001946712,0.1099118,0.0007190278,0.05725071],"genre_scores_gemma":[0.8042831,0.003657527,0.006941841,0.002229839,0.0003320486,0.0003268234,0.1644486,0.0002091578,0.01757102],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.03000608,"threshold_uncertainty_score":0.1003804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03747708221336541,"score_gpt":0.2802523915851304,"score_spread":0.242775309371765,"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."}}