{"id":"W3081885737","doi":"10.5539/mas.v14n9p12","title":"Big Data Ingestion and Preparation Tools","year":2020,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Big data; Ingestion; Data science; Point (geometry); Data mining; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003585758,0.00009281729,0.00008408576,0.0000732936,0.0002587101,0.0008671574,0.0007718448,0.00002818899,0.0000205861],"category_scores_gemma":[0.0001897312,0.00008296684,0.000005324066,0.0007056964,0.0002273225,0.002693973,0.0009411763,0.00006974444,0.000151995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008179056,"about_ca_system_score_gemma":0.00003486022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003070171,"about_ca_topic_score_gemma":0.0000165591,"domain_scores_codex":[0.9988115,0.00000131591,0.0001293728,0.0005571198,0.0003209001,0.0001797773],"domain_scores_gemma":[0.9994268,0.00001300835,0.00008049499,0.0003944134,0.00006584181,0.00001941761],"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":[0.00008405956,0.00002929796,0.0008047667,0.0001044428,0.000002723676,0.00000142074,0.0002131252,0.0001506776,0.1541618,0.02003193,0.002480058,0.8219357],"study_design_scores_gemma":[0.0001265977,0.000004888209,0.003080229,0.00001412365,0.00001548589,0.000001103333,0.00005042359,0.9373763,0.001895402,0.004654557,0.05255685,0.0002241126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2261945,0.0001141583,0.7307867,0.004760346,0.000505443,0.0005650099,0.00002222006,0.000337655,0.03671401],"genre_scores_gemma":[0.9967073,0.000007966042,0.0004968346,0.002071482,0.0006169175,0.000007111502,0.00007232458,0.000006323847,0.00001377954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9372256,"threshold_uncertainty_score":0.8362019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2707234784005533,"score_gpt":0.316525427836894,"score_spread":0.04580194943634069,"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."}}