{"id":"W4394411445","doi":"10.6084/m9.figshare.11591628","title":"TigerSalamanders_SplitsTree_USandCanada.nexus","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nexus (standard); Computer science; Operating system","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":[0.000038387,0.0003923938,0.0004577255,0.0001835114,0.0001043088,0.0005483883,0.004599193,0.000271581,0.1093481],"category_scores_gemma":[0.0007324924,0.0003811244,0.0001806939,0.000732566,0.000006588813,0.0004101451,0.001542709,0.0005558382,0.05776181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007962222,"about_ca_system_score_gemma":0.000472712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001299988,"about_ca_topic_score_gemma":0.0004725271,"domain_scores_codex":[0.9975985,0.0000588447,0.0003172475,0.0009206088,0.0006808266,0.0004240191],"domain_scores_gemma":[0.9971498,0.0001173784,0.0002811075,0.002019648,0.00009736547,0.0003346501],"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":[7.251679e-7,0.00001212004,8.237143e-8,0.0001526923,0.00006251675,0.0002637761,0.000008081863,0.000004209443,1.159849e-7,0.000006146262,0.998997,0.0004924761],"study_design_scores_gemma":[0.0001038178,0.00002651238,0.00000635313,0.0004565533,0.00002844973,0.000009620779,0.000002603323,0.000872625,0.000006558751,0.00003059722,0.9980379,0.0004184222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.9433e-9,0.0001601538,0.00006019972,0.0003899934,0.0001575995,0.00015592,0.9983913,0.0001622332,0.0005226012],"genre_scores_gemma":[0.000001165051,0.000006715565,0.000258904,0.001979505,0.0002829109,0.00008707218,0.9972296,0.00001636906,0.0001377371],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0515863,"threshold_uncertainty_score":0.999864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03256583868920327,"score_gpt":0.2440182778212427,"score_spread":0.2114524391320395,"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."}}