{"id":"W6893515939","doi":"10.5281/zenodo.2555345","title":"DuraCloud","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Council of Prairie and Pacific University Libraries","funders":"","keywords":"","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002474285,0.00005686821,0.00007250201,0.00004007332,0.00002099508,0.0001255476,0.001535391,0.00002426569,0.1914088],"category_scores_gemma":[0.0003197591,0.00004981586,0.00004135761,0.0002641584,7.271356e-7,0.0004464563,0.0006016845,0.00005607794,0.1266544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001138591,"about_ca_system_score_gemma":0.0000271968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001801003,"about_ca_topic_score_gemma":0.000001550788,"domain_scores_codex":[0.999395,0.00001338941,0.00007409709,0.0002194367,0.0001624409,0.0001356663],"domain_scores_gemma":[0.9986985,0.00006181677,0.00003929958,0.001112577,0.00004147824,0.00004634851],"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":[2.001055e-7,0.000006355999,0.000155799,0.00001339572,0.000006022286,0.000007644295,0.00002928729,0.00001056289,0.00004071913,0.0006482179,0.9956936,0.003388182],"study_design_scores_gemma":[0.0001167161,0.00001801173,0.007733902,0.0001577616,0.000001589287,0.000008160162,0.000003858581,0.01700553,0.0006900713,0.000227589,0.9738708,0.0001659811],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01065237,0.001203522,0.002520173,0.007811024,0.00179062,0.00178663,0.4842361,0.003776894,0.4862227],"genre_scores_gemma":[0.8271675,0.000001536803,0.01572781,0.004351355,0.0003100253,0.0001148733,0.1357282,0.00003695538,0.01656185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8165151,"threshold_uncertainty_score":0.8740256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01523287263347983,"score_gpt":0.2243936987613176,"score_spread":0.2091608261278377,"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."}}