{"id":"W2462079183","doi":"10.1145/2890955.2890958","title":"Beehive","year":2016,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beehive; Computer science; Finite-state machine; Distributed computing; Throughput; Operating system; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005461507,0.0007933367,0.0004423108,0.0005064546,0.0004684274,0.001388475,0.002900882,0.0008659749,0.03484096],"category_scores_gemma":[0.001533097,0.0006195271,0.0004420968,0.0003062615,0.0004728515,0.002457792,0.002346409,0.001395496,0.01061323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004196211,"about_ca_system_score_gemma":0.000677953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001464327,"about_ca_topic_score_gemma":0.001471016,"domain_scores_codex":[0.9993327,0.00006029261,0.00003875677,0.0001709731,0.0003018434,0.00009535351],"domain_scores_gemma":[0.9993814,0.0001352624,0.00003701758,0.000210328,0.0001593084,0.00007657744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00178494,0.0005253053,0.004215333,0.001411521,0.0002077701,0.000990899,0.000817521,0.01669829,0.06579679,0.07126343,0.2486657,0.5876225],"study_design_scores_gemma":[0.0002954776,0.0004480212,0.002319539,0.000156432,0.00007862983,0.0008817195,0.00009589727,0.08658292,0.04272524,0.0131299,0.8531494,0.0001368203],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02644279,0.002210121,0.7177025,0.0007932499,0.0007588379,0.001114737,0.002900162,0.1455039,0.1025737],"genre_scores_gemma":[0.3017211,0.001917573,0.4911557,0.002575832,0.0002018263,0.00167481,0.01345679,0.01564476,0.1716516],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03484096,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007888809346666352,"score_gpt":0.1928666033839679,"score_spread":0.1849777940373016,"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."}}