{"id":"W2032603905","doi":"10.1109/icws.2014.62","title":"Data Mining from NoSQL Document-Append Style Storages","year":2014,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"NoSQL; Computer science; Append; Big data; Database; Semi-structured data; Relational database; XML database; Data science; World Wide Web; Information retrieval; Data mining; XML","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":[0.0029607,0.0006816734,0.0008198212,0.00205564,0.0009189073,0.003790858,0.002527966,0.0006908973,0.002121476],"category_scores_gemma":[0.01457685,0.0004377434,0.0008912105,0.004225923,0.0005830464,0.004971931,0.002654457,0.000959138,0.001234713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006923464,"about_ca_system_score_gemma":0.001577622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001677001,"about_ca_topic_score_gemma":0.001939271,"domain_scores_codex":[0.9965885,0.0005240157,0.0006285526,0.0004679768,0.001618226,0.000172775],"domain_scores_gemma":[0.9944428,0.001538907,0.0005137553,0.001851292,0.001503036,0.0001501582],"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":[0.002428182,0.0008594314,0.02287016,0.001786288,0.0004094239,0.002056822,0.001493734,0.06772099,0.04549797,0.06651865,0.05714306,0.7312152],"study_design_scores_gemma":[0.0002413783,0.0003699003,0.004778298,0.0001739583,0.0001245012,0.001285461,0.001132374,0.7333387,0.1038542,0.09149728,0.06308086,0.0001231814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0835688,0.001227099,0.8512198,0.001405793,0.0002451666,0.0007445511,0.01191544,0.04287366,0.00679964],"genre_scores_gemma":[0.3617506,0.001270666,0.6059369,0.000469935,0.0001326558,0.0006558424,0.0253701,0.0007967741,0.003616529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003790858,"threshold_uncertainty_score":0.01565784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03531886967117394,"score_gpt":0.2844406312017156,"score_spread":0.2491217615305417,"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."}}