{"id":"W2008012571","doi":"10.1145/2785956.2790028","title":"nf.io","year":2015,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001205164,0.00004436508,0.00005009581,0.00001983262,0.00002120838,0.00006989263,0.0003725763,0.0000229986,0.00002376447],"category_scores_gemma":[0.0000226342,0.00003345364,0.00001872351,0.0001693058,0.000008474984,0.0001729312,0.0001359542,0.00003726114,0.0004903974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001028686,"about_ca_system_score_gemma":0.00003376685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002891727,"about_ca_topic_score_gemma":0.000006114438,"domain_scores_codex":[0.9995399,0.00001052068,0.0000603429,0.0001333866,0.0001235332,0.0001323224],"domain_scores_gemma":[0.999526,0.00002958318,0.00001239956,0.0002888446,0.00003710813,0.0001061004],"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":[0.000002207731,0.00003571018,0.004457528,0.000001321405,0.000006191576,0.00001775235,0.0003403479,0.0002906016,0.000007540762,0.3967519,0.4919333,0.1061556],"study_design_scores_gemma":[0.0009535761,0.0002168494,0.004273837,0.00001095033,0.000003872416,0.00005049068,0.00004585027,0.1410056,0.0006259435,0.09892167,0.7534336,0.0004578142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002158642,0.0001578479,0.9210094,0.001353985,0.0005336507,0.00003213333,9.426351e-8,0.000407787,0.07434642],"genre_scores_gemma":[0.8000517,0.000007479945,0.1876185,0.003504036,0.000262708,0.000006567374,8.844832e-7,0.000007435982,0.008540675],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7978931,"threshold_uncertainty_score":0.6303229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04676181611106098,"score_gpt":0.2377403030723389,"score_spread":0.1909784869612779,"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."}}