{"id":"W2800277550","doi":"10.1145/3158661","title":"A Survey on NoSQL Stores","year":2018,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":197,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"NoSQL; Computer science; Consistency (knowledge bases); Implementation; Database; Big data; Relational database; Data science; Scalability; Data mining; Software engineering; Artificial intelligence","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":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01255537,0.001001631,0.002154496,0.0006050927,0.0005591568,0.0006519194,0.008412698,0.0003917587,0.00001404301],"category_scores_gemma":[0.001816063,0.0008144726,0.0007294057,0.001777508,0.0001391091,0.00002319121,0.006050192,0.0008611922,0.001731938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002355214,"about_ca_system_score_gemma":0.0002599174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004674958,"about_ca_topic_score_gemma":0.00006632518,"domain_scores_codex":[0.9879059,0.007063439,0.001152706,0.001940237,0.00088728,0.001050508],"domain_scores_gemma":[0.9881922,0.005784205,0.000906759,0.004646495,0.0002246468,0.0002456972],"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":[6.525905e-7,0.00009600345,0.00007475882,0.001148407,0.0001816951,0.00003735036,0.00008260288,0.0001324184,2.688791e-9,0.0003607023,0.0236773,0.9742081],"study_design_scores_gemma":[0.0001971444,0.0002606677,0.003196202,0.008510514,0.00008049714,0.00002008915,0.000001752924,0.009332136,1.775066e-7,0.0001289708,0.9770818,0.001190083],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008173237,0.9517041,0.04109421,0.00005826833,0.003648125,0.0006863813,0.00002622316,0.001045944,0.001655019],"genre_scores_gemma":[0.0008483637,0.9793289,0.01157709,0.0005072103,0.003130685,0.00002629628,0.0002539102,0.0003162069,0.004011283],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9730181,"threshold_uncertainty_score":0.9994306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09652618745836172,"score_gpt":0.3389769881995401,"score_spread":0.2424508007411784,"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."}}