{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002740201,0.0008286186,0.001004995,0.003121413,0.001019723,0.005002443,0.002504953,0.001568802,0.02030193],"category_scores_gemma":[0.007891447,0.0004040789,0.0007997893,0.006013743,0.0008526024,0.00812879,0.003724744,0.001560232,0.01405802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001324268,"about_ca_system_score_gemma":0.003150982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002009023,"about_ca_topic_score_gemma":0.002246677,"domain_scores_codex":[0.9966273,0.0006461332,0.0002920352,0.0005554307,0.001653737,0.0002253133],"domain_scores_gemma":[0.9951917,0.001525174,0.0003281538,0.000992627,0.001630202,0.0003322266],"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":[0.00007171188,0.00007589671,0.001637586,0.005562443,0.0001972132,0.0001578985,0.0002698576,0.001639144,0.001330412,0.1264041,0.2459364,0.6167172],"study_design_scores_gemma":[0.000009830606,0.00002834669,0.0005536038,0.0008098786,0.00002768375,0.0001908225,0.0001442199,0.0008617943,0.0005888829,0.02084368,0.9759192,0.00002197593],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007765616,0.4766921,0.113758,0.03826654,0.01048414,0.001913871,0.01319433,0.004790514,0.3331348],"genre_scores_gemma":[0.121421,0.6110422,0.1169897,0.02599485,0.009720089,0.001670002,0.03472099,0.001081903,0.0773593],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02030193,"threshold_uncertainty_score":0.06791675,"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."}}