{"id":"W1511703720","doi":"","title":"Denoising network tomography estimations","year":2010,"lang":"en","type":"article","venue":"International Conference on Data Communication Networking","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Network tomography; Noise reduction; Computer science; Tomography; Artificial intelligence; Transformation (genetics); Algorithm; Pattern recognition (psychology)","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":[0.000750576,0.0006148847,0.0005063091,0.0006603364,0.0001816921,0.0005112406,0.000537721,0.0006387993,0.0009309572],"category_scores_gemma":[0.003812289,0.0002911335,0.0003729431,0.0005413732,0.0004733177,0.001232357,0.0005977782,0.0009475996,0.0002234973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004145241,"about_ca_system_score_gemma":0.0005521146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002890587,"about_ca_topic_score_gemma":0.003120726,"domain_scores_codex":[0.9996856,0.00007548922,0.00001307076,0.00005506842,0.0001423297,0.00002846083],"domain_scores_gemma":[0.9990717,0.0004591072,0.000111466,0.0001185853,0.0002169037,0.00002215978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001250686,0.0000260545,0.001647646,0.0001107097,0.00003213965,0.0001764807,0.0001194559,0.8918569,0.02426676,0.01337937,0.000985512,0.06727392],"study_design_scores_gemma":[0.000003575238,0.00001446103,0.0003201829,0.000007114585,0.000006317664,0.00005218316,0.00001824566,0.9896601,0.005907383,0.003117518,0.0008839307,0.000008984925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02008793,0.0001039813,0.9783248,0.0001107686,0.00003093686,0.00001586342,0.00007100697,0.0001766662,0.001078043],"genre_scores_gemma":[0.6588179,0.0006678191,0.3360153,0.0001411082,0.00006797049,0.00009004404,0.0006365092,0.0001601992,0.003403249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002890587,"threshold_uncertainty_score":0.005747497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09204816260423844,"score_gpt":0.3214511053669903,"score_spread":0.2294029427627519,"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."}}