{"id":"W4398334065","doi":"10.7910/dvn/pkjufn/pxdryu","title":"FCC2001.309.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Transport Systems and Technology","field":"Engineering","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":[0.00005808077,0.0003747055,0.0004961346,0.0001593447,0.00004259673,0.00003571685,0.0007073106,0.000535427,0.01037361],"category_scores_gemma":[0.00002118287,0.00039568,0.0001168628,0.000184713,0.0000515111,0.0001155613,0.00008995242,0.0006584062,0.2763384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005175325,"about_ca_system_score_gemma":0.00002895825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001703409,"about_ca_topic_score_gemma":0.0002610837,"domain_scores_codex":[0.9987003,0.00001256512,0.0003572343,0.0003699035,0.0001993444,0.0003606055],"domain_scores_gemma":[0.9986149,0.00001895959,0.0000557003,0.001146023,0.00001579714,0.000148627],"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":[0.000005058946,0.00001131981,0.000002219255,0.0004322,0.0001133021,0.0003933641,0.000008826998,0.0000522377,0.00003629974,0.00003447469,0.998667,0.0002437118],"study_design_scores_gemma":[0.0002752769,0.00002229771,0.00001292279,0.00006984514,0.00009540994,0.00002703731,0.00001713511,0.00006987606,0.00003955334,0.000008634522,0.998967,0.0003950395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006962474,0.000004793606,0.0002373789,0.000004374398,0.001373885,0.0002119976,0.9968965,0.0008407909,0.0004233122],"genre_scores_gemma":[0.0001470693,0.0004961073,0.0001607843,0.00008979774,0.0003344414,0.00003167956,0.9986169,0.00005773166,0.0000655104],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2659648,"threshold_uncertainty_score":0.9998495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029784266590446,"score_gpt":0.1924035603709123,"score_spread":0.1821057177050079,"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."}}