{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.002649088,0.0001207439,0.0002156296,0.000155978,0.000376204,0.001056622,0.007132239,0.00004514802,0.00002102616],"category_scores_gemma":[0.0001760197,0.00009268962,0.00006899436,0.0001889862,0.0000807926,0.0004600022,0.003914359,0.0001152028,0.00001727387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003507688,"about_ca_system_score_gemma":0.00001167806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006592812,"about_ca_topic_score_gemma":0.00007544146,"domain_scores_codex":[0.9976807,0.00002202203,0.0007172176,0.0003521202,0.000996548,0.0002314517],"domain_scores_gemma":[0.9963348,0.0002330484,0.001142542,0.001689192,0.000528512,0.00007188612],"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":[0.00005017982,0.00003293423,0.001480128,0.000006304218,0.0004032812,0.00003354801,0.000005729009,0.003655997,3.735501e-7,0.04009021,0.2918487,0.6623926],"study_design_scores_gemma":[0.0005672713,0.00002594823,0.02145989,0.00006668943,0.0000940416,0.00001690991,0.0001584833,0.01161987,7.293855e-7,0.1185877,0.8473073,0.00009520551],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004409988,0.0007839036,0.8439226,0.1084382,0.00854612,0.0009655107,0.0002617776,0.00005172275,0.03262021],"genre_scores_gemma":[0.7218554,0.01004796,0.2516333,0.005195099,0.007941352,0.00004697457,0.0001203898,0.00004133174,0.00311818],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7174454,"threshold_uncertainty_score":0.9999804,"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."}}