{"id":"W4398390870","doi":"10.7910/dvn/pkjufn/zdybal","title":"FCC2002.141.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Ran; Computer science; Computer network","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004314754,0.0009749442,0.001010001,0.0002591876,0.0001974286,0.0003006783,0.002662299,0.0006315921,0.2292032],"category_scores_gemma":[0.001392277,0.001037502,0.000336607,0.00067337,0.0002610992,0.0006074995,0.001666083,0.001454684,0.9946024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003087191,"about_ca_system_score_gemma":0.0003236691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004460302,"about_ca_topic_score_gemma":0.0003859299,"domain_scores_codex":[0.995056,0.000282183,0.0007233761,0.001483379,0.001523419,0.0009316626],"domain_scores_gemma":[0.9944399,0.0001566926,0.0005351081,0.004036298,0.000103807,0.0007281853],"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":[0.0001960098,0.0001480657,0.000002246224,0.0002547571,0.0002594167,0.001317807,0.00002421658,0.00000371899,0.0001175474,0.00001670677,0.9975581,0.0001014002],"study_design_scores_gemma":[0.001043496,0.00008279295,0.00001189122,0.0001287062,0.0006061904,0.00005796127,0.00005690135,0.00002404689,0.00004637135,0.00001198364,0.9968462,0.001083485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001960777,7.142693e-7,0.000008327201,0.00000713165,0.001168388,0.0006151017,0.9968928,0.000448415,0.0008571987],"genre_scores_gemma":[0.000002042468,0.0001794691,0.0003870547,0.001355243,0.001237176,0.00006078025,0.9960335,0.0002536272,0.0004910397],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7653992,"threshold_uncertainty_score":0.9992076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500825657205191,"score_gpt":0.253556626914746,"score_spread":0.2285483703426941,"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."}}