{"id":"W4398299163","doi":"10.7910/dvn/pkjufn/3whah9","title":"FCC2002.181.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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001420914,0.003250984,0.001817808,0.005045898,0.001230536,0.003934295,0.004287707,0.00323895,0.1574502],"category_scores_gemma":[0.0081624,0.0009728002,0.001641844,0.008152666,0.0007086759,0.002398428,0.00249847,0.00210646,0.2259703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002191328,"about_ca_system_score_gemma":0.002678267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04573081,"about_ca_topic_score_gemma":0.06949604,"domain_scores_codex":[0.9986736,0.0002767759,0.0001245579,0.0003998862,0.0002592853,0.000265987],"domain_scores_gemma":[0.9970213,0.000680256,0.0002297665,0.0009219553,0.000803188,0.0003435449],"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":[0.00003078243,0.000008649798,0.0001479291,0.0002470735,0.00001402116,0.000006571144,0.000008355432,0.0001237407,0.00003685556,0.0002811515,0.9984007,0.0006941445],"study_design_scores_gemma":[0.0002736403,0.0000218145,0.001591243,0.0002897467,0.00002740559,0.00003598146,0.00006555577,0.0005276084,0.0002933918,0.001495835,0.9953447,0.00003307101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005359003,0.00005102592,0.00003400012,0.00007015302,0.00003067398,0.000005140393,0.9984733,0.0005034236,0.0007785663],"genre_scores_gemma":[0.0002367024,0.00003774452,0.0001193876,0.00005451553,0.000009640787,0.00002821599,0.998769,0.0001315564,0.0006132258],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8425498,"threshold_uncertainty_score":0.5267234,"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."}}