{"id":"W2784153510","doi":"10.12688/f1000research.13501.1","title":"A SNP resource for studying North American moose","year":2018,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Idaho; National Institute of Food and Agriculture; University of Vermont; University of Louisville; U.S. Department of Agriculture","keywords":"Biology; Reference genome; Single-nucleotide polymorphism; Genome; Population; SNP; Evolutionary biology; Genetics; Genotype; Demography; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003275968,0.0002154644,0.0002329931,0.0001136534,0.0002225421,0.00009061157,0.0007112888,0.0002007783,0.00005125136],"category_scores_gemma":[0.0001584168,0.0002207672,0.0001640559,0.000142421,0.0002850972,0.000001233903,0.00174176,0.0003162979,0.00002897878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002446136,"about_ca_system_score_gemma":0.0001844312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009925975,"about_ca_topic_score_gemma":0.0002356173,"domain_scores_codex":[0.9981979,0.0001364888,0.000194179,0.0006719324,0.000378322,0.0004212473],"domain_scores_gemma":[0.9985928,0.00002915678,0.0001212576,0.0007608457,0.0003341009,0.0001618622],"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":[0.002146231,0.0002794618,0.3950731,0.000793534,0.001072456,0.00001942203,0.001450402,0.005999081,0.01550084,0.00009291485,0.5242452,0.05332739],"study_design_scores_gemma":[0.0008421958,0.0009016881,0.2122108,0.0000342437,0.00006900207,0.000005478018,0.0004152402,0.0004857256,0.007208014,0.0003146112,0.7768646,0.0006482935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943527,0.0002127405,0.002472351,0.0002831536,0.0001947882,0.000915444,0.0004899065,0.00002397943,0.001054929],"genre_scores_gemma":[0.9870265,0.00009859196,0.004986591,0.0002229825,0.001225508,0.0001009439,0.002094181,0.00005073402,0.004194014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2526194,"threshold_uncertainty_score":0.9002624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07302437106831092,"score_gpt":0.3538555012647286,"score_spread":0.2808311301964177,"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."}}