{"id":"W6976873305","doi":"10.6084/m9.figshare.10394711.v1","title":"Bighorn sheep genomic dataset","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Military Technology and Strategies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fish <Actinopterygii>; Population; Population genetics; Population structure; Genotype","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00001861252,0.0003066736,0.0002866122,0.0001435382,0.00003713039,0.00002986848,0.0007550787,0.0006676079,0.3236215],"category_scores_gemma":[0.00006101524,0.0003150459,0.00005958628,0.00009060427,0.000007510848,0.00008905357,0.0001606955,0.0006965523,0.06753831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004068963,"about_ca_system_score_gemma":0.00003495446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000950912,"about_ca_topic_score_gemma":0.00005342671,"domain_scores_codex":[0.999144,0.00001036527,0.0001860316,0.0002764763,0.00009289957,0.0002902501],"domain_scores_gemma":[0.9988207,0.0000461293,0.00003027,0.001045601,0.00001269805,0.00004466328],"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":[0.000001372725,0.000004539336,1.014287e-7,0.0008182829,0.00005381554,0.00003847548,0.0000016042,0.0004136753,0.000003085533,0.000001698427,0.9985631,0.0001002559],"study_design_scores_gemma":[0.00006757914,0.00001763276,0.00003019338,0.0003609511,0.00001751604,0.00001332227,0.000004920155,0.000150777,0.000006298924,0.00003798736,0.9989533,0.0003394546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000115304,0.002354349,9.586238e-8,0.000005561389,0.0002752774,0.0001750317,0.9958588,0.0002709012,0.001058846],"genre_scores_gemma":[0.0000111101,0.0001337363,0.000008987408,0.00005547105,0.0001478063,0.00009653848,0.99945,0.00003087287,0.00006550751],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2560831,"threshold_uncertainty_score":0.9999301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03061888776305757,"score_gpt":0.2360045593720795,"score_spread":0.2053856716090219,"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."}}