{"id":"W4394302735","doi":"10.6084/m9.figshare.10394711","title":"Bighorn sheep genomic dataset","year":2019,"lang":"en","type":"dataset","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":"","funders":"","keywords":"Genomic selection; Computational biology; Biology; Evolutionary biology; Geography; Genetics; Gene; Genotype; Single-nucleotide polymorphism","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001306285,0.0009717779,0.001213687,0.002223676,0.0008040161,0.001528595,0.00155247,0.001646511,0.06447491],"category_scores_gemma":[0.007193543,0.0004751201,0.0007374518,0.003312775,0.0003112722,0.0006170883,0.001733971,0.001152235,0.04282203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005101577,"about_ca_system_score_gemma":0.001467044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009574065,"about_ca_topic_score_gemma":0.0250347,"domain_scores_codex":[0.9992798,0.0001314125,0.0001107286,0.0002934135,0.0001132758,0.00007136061],"domain_scores_gemma":[0.9979125,0.0009087624,0.000231651,0.0003705615,0.0003829645,0.0001936641],"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":[0.0003213065,0.00004880873,0.007783782,0.002652006,0.0001846344,0.000257684,0.0002121281,0.0006347172,0.001634546,0.001426298,0.9749863,0.009857985],"study_design_scores_gemma":[0.0008020535,0.00006707766,0.03175494,0.0007912817,0.0001864294,0.0003127818,0.0001584966,0.0005735452,0.0008412309,0.003000139,0.9614602,0.00005166575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007670845,0.0001134887,0.0001741104,0.00006931125,0.0000141969,0.00001588642,0.9979803,0.0001801215,0.0006855763],"genre_scores_gemma":[0.001292696,0.0000627111,0.0006851593,0.00007560436,0.000006947496,0.0001357595,0.9970418,0.0000739559,0.0006254101],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06447491,"threshold_uncertainty_score":0.2156901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03050127421238846,"score_gpt":0.2690282062925899,"score_spread":0.2385269320802015,"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."}}