{"id":"W2606761684","doi":"10.1002/nem.1974","title":"Big data analytics for network and service management","year":2017,"lang":"en","type":"article","venue":"International Journal of Network Management","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Big data; Data science; Analytics; Service (business); Data analysis; Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.00547895,0.001534193,0.00147447,0.004181595,0.001131041,0.008695344,0.002323557,0.002218678,0.01188355],"category_scores_gemma":[0.01483642,0.0005915153,0.0008738342,0.007865822,0.001433192,0.01459058,0.003648577,0.003694244,0.00674775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002008368,"about_ca_system_score_gemma":0.002709537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001669448,"about_ca_topic_score_gemma":0.001152291,"domain_scores_codex":[0.9939644,0.001459198,0.0004209847,0.0007369709,0.003111071,0.0003073585],"domain_scores_gemma":[0.990584,0.00404539,0.000559456,0.001560922,0.002706701,0.0005435598],"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":[0.0001292604,0.00006282861,0.001043612,0.002122466,0.000148449,0.0001575036,0.0003279529,0.006600772,0.001393356,0.1907458,0.4029884,0.3942796],"study_design_scores_gemma":[0.00001624912,0.00003548951,0.0006846765,0.0008004881,0.00003275807,0.0001496985,0.0002963049,0.02467412,0.001129981,0.2431918,0.7289397,0.00004875738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00606276,0.3027261,0.4124039,0.1178847,0.03661956,0.0009336661,0.01146364,0.01045198,0.1014536],"genre_scores_gemma":[0.1886239,0.3618939,0.2939616,0.02038204,0.04714751,0.001107361,0.03554793,0.002820807,0.04851498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01188355,"threshold_uncertainty_score":0.03975445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4542820535857225,"score_gpt":0.4380803688817816,"score_spread":0.0162016847039409,"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."}}