{"id":"W2893720506","doi":"10.5539/mas.v12n10p71","title":"Automatic Recovery of Database Structure (ARDS)","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Database; Feature (linguistics); Database testing; Software; Database administrator; Real-time database; Data mining; Database design; Operating system; View","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008604252,0.0001305289,0.0001931563,0.000159891,0.000285643,0.0001019697,0.001952672,0.00005030753,0.00003997848],"category_scores_gemma":[0.00006538294,0.00009977665,0.00003416032,0.001092258,0.0008553813,0.0007808913,0.0005475748,0.00009785561,0.00006686978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006425304,"about_ca_system_score_gemma":0.0003554017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001708923,"about_ca_topic_score_gemma":0.000006527762,"domain_scores_codex":[0.9979942,0.00001646893,0.0002944943,0.000594684,0.0007377937,0.0003623587],"domain_scores_gemma":[0.9981138,0.00004817096,0.0001460779,0.001401623,0.0001802761,0.0001100978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001402647,0.0000776747,0.0009900181,0.0001654868,0.000009896967,0.000001736528,0.003259923,0.0001709911,0.7055475,0.01049677,0.0004121769,0.2788538],"study_design_scores_gemma":[0.0002349081,0.00009060155,0.005417171,0.00004309617,0.000004306559,0.00001308415,0.00002743362,0.8485652,0.1269935,0.01820218,0.0001735206,0.0002349559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4641774,0.00001659322,0.5329839,0.00004211619,0.0004488238,0.0001739124,0.00000783016,0.0001435937,0.002005802],"genre_scores_gemma":[0.9462655,0.000001779873,0.05350062,0.0001315189,0.00006434055,0.000007389225,0.000001020997,0.000004743433,0.00002309123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8483942,"threshold_uncertainty_score":0.4068774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009957210024384374,"score_gpt":0.2410138508780599,"score_spread":0.2310566408536755,"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."}}