{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001449446,0.0009835149,0.001199033,0.002564479,0.0008977823,0.001615821,0.001627944,0.001779167,0.07611813],"category_scores_gemma":[0.009153573,0.0005134568,0.000792339,0.003964222,0.000339443,0.0007105664,0.001906312,0.001304849,0.05315687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005986302,"about_ca_system_score_gemma":0.001749261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01300683,"about_ca_topic_score_gemma":0.03129381,"domain_scores_codex":[0.9991457,0.0001522051,0.0001389575,0.000339841,0.000137319,0.00008589467],"domain_scores_gemma":[0.9972376,0.001202662,0.0002819819,0.0005005191,0.0005567671,0.0002204822],"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":[0.0002077088,0.00003298459,0.004866648,0.001967064,0.0001129843,0.0001544622,0.0001520603,0.0004827009,0.0008711113,0.001121201,0.9828036,0.00722733],"study_design_scores_gemma":[0.0005724198,0.00005115164,0.02215999,0.0007626051,0.0001367806,0.000214312,0.0001419626,0.0004493549,0.0006047293,0.002729453,0.9721311,0.00004607533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004558003,0.00009346088,0.0001410167,0.00006850158,0.00001406138,0.00001533124,0.9983686,0.0001511028,0.0006921701],"genre_scores_gemma":[0.0009586916,0.00006101339,0.0006342438,0.0000832373,0.000007521115,0.0001447294,0.9973525,0.00007588136,0.0006821141],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07611813,"threshold_uncertainty_score":0.2546405,"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."}}