{"id":"W2191117394","doi":"10.3390/a8041175","title":"A Data Analytic Algorithm for Managing, Querying, and Processing Uncertain Big Data in Cloud Environments","year":2015,"lang":"en","type":"article","venue":"Algorithms","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Big data; Computer science; Cloud computing; Database transaction; Transaction data; Uncertain data; Data mining; Data science; Analytics; Database","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001430661,0.0002349069,0.0002833244,0.0001746912,0.000156713,0.000409725,0.003730504,0.00007542466,9.649351e-7],"category_scores_gemma":[0.00009692773,0.0002304224,0.00001713379,0.0005402162,0.0001052094,0.001483554,0.003166147,0.0001681283,0.00001555033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007366919,"about_ca_system_score_gemma":0.0001797041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004782149,"about_ca_topic_score_gemma":0.00008578177,"domain_scores_codex":[0.9973418,0.00004788833,0.0003874904,0.001373825,0.0003719935,0.0004769706],"domain_scores_gemma":[0.996469,0.00009646802,0.0001576177,0.00300796,0.00003272749,0.0002362417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001310017,0.00008557698,0.0001333264,0.0000137442,0.00001634839,0.00001785625,0.0002606632,0.00001848107,0.000004206371,0.0002010187,0.003051891,0.9961956],"study_design_scores_gemma":[0.0007485084,0.00004755568,0.0001937911,0.00004414202,0.00002314875,0.00003737111,0.0002029131,0.8984322,0.000009351395,0.002479207,0.09751047,0.000271323],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001455005,0.00114408,0.9960335,0.0009811725,0.0003170876,0.0004007934,0.0007543438,0.00008357051,0.0001399444],"genre_scores_gemma":[0.002714854,0.0001634911,0.9938504,0.0003339272,0.0005246511,0.00009708247,0.001808108,0.00003528156,0.0004722284],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9959242,"threshold_uncertainty_score":0.9396353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1524026518695217,"score_gpt":0.3367926949173147,"score_spread":0.184390043047793,"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."}}