{"id":"W7097710758","doi":"","title":"Implementing Q u e l Processing Using Views in Semistructured Databases","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Legislation; Order (exchange); The Internet; Reproduction; Subject (documents)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000529064,0.0000983041,0.0001386194,0.00006682361,0.0002229548,0.00003814803,0.0002256954,0.000009062356,0.00007452088],"category_scores_gemma":[0.00004563974,0.00008390338,0.0000184741,0.0002906527,0.00001435142,0.000992569,0.0005512497,0.00007187625,0.000001668803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003302071,"about_ca_system_score_gemma":0.0000372629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002440355,"about_ca_topic_score_gemma":0.0003155217,"domain_scores_codex":[0.998889,0.00006445233,0.0002623127,0.0003054132,0.000157203,0.0003215669],"domain_scores_gemma":[0.9994061,0.00003002358,0.0001084035,0.000398222,0.0000198298,0.00003739295],"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":[0.000005996666,0.00004772834,0.01292633,0.0002815111,0.000006948415,0.0000207106,0.001293748,0.002491458,0.04701914,0.5809672,0.0004749987,0.3544642],"study_design_scores_gemma":[0.0002869654,0.00001102472,0.000533823,0.00005761061,0.000001845148,0.00004124725,0.0002335503,0.292101,0.004780317,0.0003236869,0.7013562,0.0002728285],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01638293,0.0001053897,0.9812397,0.0000342036,0.00008551739,0.00008215544,0.000005955841,0.00007712072,0.001986989],"genre_scores_gemma":[0.2494987,0.000001410154,0.7501466,0.0001789117,0.00005484196,0.000008826641,0.00001710973,0.000007370596,0.00008624882],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7008811,"threshold_uncertainty_score":0.3421481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0532629173493664,"score_gpt":0.330317378178419,"score_spread":0.2770544608290526,"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."}}