{"id":"W3090295042","doi":"10.1145/3408314","title":"Big Data Systems","year":2020,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Big data; Scalability; Software engineering; Context (archaeology); Data science; Software; Software development; Database; 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":["metaresearch","metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaresearch","open_science"],"category_scores_codex":[0.07085859,0.0006874725,0.003093337,0.0007303133,0.0004756911,0.003806298,0.02663965,0.0002350683,0.00004455129],"category_scores_gemma":[0.04570405,0.0004903096,0.0004389337,0.004444011,0.0001342117,0.0002277662,0.02964741,0.0006920085,0.006684446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009566386,"about_ca_system_score_gemma":0.0005119296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002585023,"about_ca_topic_score_gemma":0.00002244991,"domain_scores_codex":[0.9799119,0.008587488,0.003097808,0.00430795,0.003301786,0.0007930399],"domain_scores_gemma":[0.9593621,0.01826988,0.002028036,0.01960362,0.0003488151,0.0003875383],"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":[2.408213e-7,0.00001787317,0.00001796287,0.0007468028,0.00007685101,0.00004624172,0.00002215194,0.00003254005,2.763261e-9,0.0000556908,0.1956057,0.803378],"study_design_scores_gemma":[0.00007817375,0.00001635242,0.00003565055,0.002697301,0.0001651272,0.00003523191,0.00005199824,0.01206661,4.397902e-9,0.0001262476,0.9842171,0.0005101955],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[8.189905e-7,0.901757,0.07590673,0.0001061096,0.01889106,0.0006520503,0.0007059785,0.0003272866,0.001652938],"genre_scores_gemma":[0.00007959536,0.9897987,0.001883371,0.00006759779,0.003366923,0.00000539687,0.002197823,0.00008984053,0.002510735],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8028678,"threshold_uncertainty_score":0.9997548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7284878629611105,"score_gpt":0.5012015672390341,"score_spread":0.2272862957220764,"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."}}