{"id":"W2114952411","doi":"10.5539/cis.v5n6p1","title":"A Materialized View for the Same Generation Query in Deductive Databases","year":2012,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Materialized view; Deductive database; Recursion (computer science); Relational database; Prolog; Database; Relational database management system; View; Logic programming; Database theory; Database design; Programming language","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001009069,0.00007650529,0.00009159057,0.0001236761,0.0002990116,0.0002275363,0.0002697995,0.00001113061,0.000002126675],"category_scores_gemma":[0.00005527251,0.00004970189,0.00001357273,0.000397212,0.0001388238,0.02130339,0.0002602075,0.00003219785,0.000008310621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002722637,"about_ca_system_score_gemma":0.00006439737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003485949,"about_ca_topic_score_gemma":0.000004369438,"domain_scores_codex":[0.9992136,0.00002325048,0.0002431443,0.000121323,0.0001770377,0.0002215872],"domain_scores_gemma":[0.9993798,0.00007781704,0.00009362585,0.000282476,0.0001090696,0.000057286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006725825,0.00001544091,0.0004421293,0.00004042099,0.000002652357,8.14431e-8,0.005293198,0.0002310513,0.0008932089,0.8685916,0.0007792924,0.1237042],"study_design_scores_gemma":[0.0006049706,0.00005171234,0.01655529,0.00005665634,0.000003590122,0.00005181062,0.0002949982,0.499224,0.003909157,0.0001917149,0.4787734,0.0002826257],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01448382,0.0002192721,0.9833666,0.0002978747,0.001203846,0.0003147714,0.00001738527,0.00002890703,0.0000674953],"genre_scores_gemma":[0.4914368,0.0002296321,0.505195,0.002407987,0.0005067774,0.0001638197,0.00004518045,0.000003648061,0.00001115195],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8683999,"threshold_uncertainty_score":0.9923851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04976663923726372,"score_gpt":0.3050958693662874,"score_spread":0.2553292301290236,"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."}}