{"id":"W1481187517","doi":"10.1002/dac.2789","title":"Advanced communication systems for enhanced big data technology and applications","year":2014,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Big data; Data science; 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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.001828543,0.0001203745,0.0002534757,0.0005132963,0.000211508,0.0003570417,0.006218028,0.00007505712,2.37475e-7],"category_scores_gemma":[0.0001934275,0.0001100519,0.000045286,0.0003220332,0.00008932497,0.0001185816,0.001393838,0.0001949045,0.000004318729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007680392,"about_ca_system_score_gemma":0.00004524942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002145912,"about_ca_topic_score_gemma":0.000003605678,"domain_scores_codex":[0.9982154,0.000258046,0.0007772009,0.0002227262,0.0003955929,0.0001310403],"domain_scores_gemma":[0.9949074,0.0005981216,0.00111411,0.002211421,0.001107877,0.000061062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002845664,0.0001482488,0.0001570078,0.00003035875,0.0002549596,4.709244e-7,0.0004061253,0.05554817,0.0005390334,0.5566803,0.001021756,0.3851851],"study_design_scores_gemma":[0.001058318,0.00008372428,0.00013888,0.0003739075,0.00002236518,0.00008648475,0.0005255963,0.4641527,0.00009767356,0.004184736,0.5291083,0.0001672944],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009299364,0.009012965,0.9746796,0.004180803,0.0008707109,0.0004753023,0.000008335714,0.00008168133,0.001391272],"genre_scores_gemma":[0.9829114,0.0006207264,0.01581397,0.00007138806,0.0002948274,0.00008663102,0.00002034283,0.00001146609,0.0001692659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.973612,"threshold_uncertainty_score":0.9991588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03351878799679666,"score_gpt":0.3026030449892825,"score_spread":0.2690842569924858,"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."}}