{"id":"W3096138397","doi":"10.3390/sym12111799","title":"DSP: Schema Design for Non-Relational Applications","year":2020,"lang":"en","type":"article","venue":"Symmetry","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"NoSQL; Computer science; Relational database; Schema (genetic algorithms); Semi-structured model; Database schema; SQL; Database; Star schema; Conceptual schema; Big data; Data mining; Database design; Information retrieval","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":[0.00608891,0.000633563,0.0003749253,0.0007564001,0.0005168341,0.003286238,0.002897621,0.0009733652,0.003562675],"category_scores_gemma":[0.01133286,0.0008293755,0.001151956,0.001207301,0.0009396757,0.005374342,0.002394803,0.001752245,0.001701932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009326529,"about_ca_system_score_gemma":0.002028952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001134319,"about_ca_topic_score_gemma":0.001032072,"domain_scores_codex":[0.9959019,0.001268465,0.0007900671,0.000497522,0.001383357,0.0001587414],"domain_scores_gemma":[0.9950165,0.001286899,0.0004394279,0.001946696,0.001098432,0.0002121161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004439264,0.0003686637,0.0041626,0.001822223,0.0001577617,0.0006451577,0.002049891,0.06160916,0.04935941,0.5273613,0.02541821,0.3266017],"study_design_scores_gemma":[0.0001681533,0.0004604722,0.001112522,0.0004564062,0.0001088571,0.001387182,0.00061233,0.4612148,0.05209201,0.1271053,0.3551895,0.00009235654],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00424246,0.0002302742,0.9895869,0.0002857741,0.0000460782,0.0003373529,0.0003299135,0.002785995,0.002155123],"genre_scores_gemma":[0.06911988,0.0005955435,0.9247402,0.0002567941,0.00003773277,0.0004352398,0.001860443,0.0008122496,0.002141842],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00608891,"threshold_uncertainty_score":0.03220165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05050892290811986,"score_gpt":0.2765926388141499,"score_spread":0.22608371590603,"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."}}