{"id":"W2992750542","doi":"10.1007/978-3-030-26253-2_2","title":"Distributed and Parallel Database Design","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Conceptual schema; Fragmentation (computing); Schema (genetic algorithms); Database schema; Database; Conceptual design; Schema migration; Distributed database; Theoretical computer science; Distributed computing; Data mining; Database design; Programming language; Information retrieval; Semi-structured model; Gender schema theory; Human–computer interaction","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":[0.0008716281,0.000943938,0.0007125261,0.0008666616,0.0007620401,0.003099797,0.00137439,0.0008078018,0.02802732],"category_scores_gemma":[0.001612386,0.0008593349,0.0004852818,0.002042391,0.001149651,0.003534097,0.001240873,0.001806156,0.01566919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001269941,"about_ca_system_score_gemma":0.00130276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001053513,"about_ca_topic_score_gemma":0.001539335,"domain_scores_codex":[0.9992761,0.00009790999,0.00004189865,0.0001568043,0.0003849953,0.00004221543],"domain_scores_gemma":[0.9995278,0.0001172734,0.00001311453,0.0001658634,0.0001411372,0.0000347113],"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":[0.00004374921,0.000055254,0.0001629587,0.0003960538,0.00002467695,0.00006055012,0.0001982964,0.004107605,0.003618511,0.3914317,0.2033867,0.396514],"study_design_scores_gemma":[0.00001525664,0.0000340468,0.0001950115,0.0001124219,0.00002123738,0.0002596843,0.00005029709,0.01128202,0.001486321,0.2195106,0.7670182,0.00001498626],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001855847,0.02771709,0.7031603,0.002904309,0.003246867,0.0001864936,0.0003945383,0.002433175,0.2581014],"genre_scores_gemma":[0.03914341,0.02868677,0.2862896,0.001474956,0.002066844,0.000391592,0.001044871,0.001234486,0.6396675],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02802732,"threshold_uncertainty_score":0.09376073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03393754695018097,"score_gpt":0.2365801642929061,"score_spread":0.2026426173427251,"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."}}