{"id":"W2550462889","doi":"10.1038/sdata.2016.97","title":"A variant reference data set for the Africanized honeybee, Apis mellifera","year":2016,"lang":"en","type":"article","venue":"Scientific Data","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; York University","keywords":"Biology; SNP; Beekeeping; Population; Single-nucleotide polymorphism; Honey bee; Evolutionary biology; Population genetics; Genetics; Zoology; Ecology; Gene; Genotype; Demography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002025246,0.0009335521,0.001301803,0.003864962,0.00141909,0.001101826,0.001770787,0.001037072,0.009129674],"category_scores_gemma":[0.005186804,0.0004048485,0.0009776833,0.006263809,0.0003462868,0.0004413844,0.001056112,0.001236565,0.007465281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000635154,"about_ca_system_score_gemma":0.001729778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01724945,"about_ca_topic_score_gemma":0.03944295,"domain_scores_codex":[0.9984046,0.0002178045,0.000279075,0.0005659616,0.0003993587,0.000133303],"domain_scores_gemma":[0.9972589,0.0005276182,0.0003898227,0.0009437652,0.0007291826,0.0001506319],"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":[0.003855788,0.0006565966,0.1282793,0.007656065,0.002777941,0.003738374,0.002015075,0.01036533,0.2733284,0.01284401,0.3087183,0.2457649],"study_design_scores_gemma":[0.0002848078,0.0002548267,0.1869409,0.0004635601,0.0007142625,0.002036817,0.0003164385,0.003736536,0.01553221,0.004317888,0.7852589,0.0001428197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.06556269,0.002133962,0.0231006,0.0002088588,0.0002730847,0.0002114661,0.9012751,0.001466127,0.005768091],"genre_scores_gemma":[0.0268982,0.0003481227,0.01488494,0.00008765491,0.00001768652,0.0003847386,0.9553477,0.0003312288,0.001699735],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01724945,"threshold_uncertainty_score":0.03429812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4006907821873715,"score_gpt":0.2947116643292612,"score_spread":0.1059791178581103,"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."}}