{"id":"W2368311265","doi":"","title":"A Data Persistence Layer Model Based on DAO Design Pattern and Hibernate Framework","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Persistent data structure; Computer science; Layer (electronics); Persistence (discontinuity); Process (computing); Design pattern; Data mining; Work (physics); Data access layer; Database; Software engineering; Operating system","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":[0.0001527515,0.0002073871,0.0001528069,0.0001089727,0.0002971843,0.0002111934,0.001980876,0.00007771782,0.000002114703],"category_scores_gemma":[0.000001463762,0.0002091089,0.00004078227,0.0003859198,0.00004476999,0.0003269976,0.0002784153,0.0002155061,0.0000347923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003995643,"about_ca_system_score_gemma":0.00006033776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001501297,"about_ca_topic_score_gemma":3.008163e-7,"domain_scores_codex":[0.9983654,0.00002993128,0.0002461644,0.0008974971,0.0002051883,0.0002558398],"domain_scores_gemma":[0.9979901,0.0001892167,0.0001078257,0.001496823,0.00009079884,0.0001252922],"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":[0.00000341834,0.0002536855,0.00001140134,0.000007108511,0.000008224286,0.000001892406,0.00009267485,0.1000177,0.001534405,0.09456708,0.002426781,0.8010756],"study_design_scores_gemma":[0.000117654,0.00004397283,0.0001771634,0.00002356881,0.000006275544,0.000009182276,0.000001287932,0.8705872,0.0006201776,0.1061305,0.02206929,0.0002137919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00005443314,0.00006537031,0.9913892,0.007013114,0.000005794526,0.000720377,0.00004829388,0.0004137481,0.0002896901],"genre_scores_gemma":[0.1501294,0.00002069167,0.8425722,0.006914179,0.00005692022,0.0002196549,0.00004675071,0.00001167843,0.00002854516],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8008618,"threshold_uncertainty_score":0.8527212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07676676350857227,"score_gpt":0.317477860774024,"score_spread":0.2407110972654518,"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."}}