{"id":"W1973020953","doi":"10.1145/2554850.2554891","title":"LittleD","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; SQL; Joins; In-Memory Processing; Relational database; Parsing; Database; Stored procedure; Memory management; Query optimization; Relational database management system; Programming language; Query by Example; Information retrieval; Search engine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008405941,0.00003014319,0.00004183114,0.00001295812,0.00003082852,0.00001437387,0.0001318105,0.000007860819,0.00002362183],"category_scores_gemma":[0.00002177547,0.00002168244,0.00001162115,0.00006206037,0.000007963537,0.000265814,0.00007866982,0.00001640065,0.000223686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000263096,"about_ca_system_score_gemma":0.000004418861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001134085,"about_ca_topic_score_gemma":0.000004931677,"domain_scores_codex":[0.9997025,0.00001347342,0.00005247135,0.0001018027,0.00005525566,0.00007447936],"domain_scores_gemma":[0.9996129,0.00002434955,0.00001210367,0.0003080785,0.00001364089,0.00002891767],"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":[1.174831e-7,0.000001971501,0.00003830808,0.000001228477,4.724429e-7,2.772493e-7,0.00001940933,0.000002688644,0.0001653806,0.9797501,0.001077764,0.0189423],"study_design_scores_gemma":[0.00007109937,0.00001686645,0.0003397166,0.00000303454,2.027591e-7,0.000004465852,0.000004903133,0.01316524,0.001791309,0.004507072,0.9800342,0.00006187446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000343042,0.00001020111,0.9403743,0.0002803601,0.0001357209,0.00001779667,2.351053e-7,0.0001372339,0.05870118],"genre_scores_gemma":[0.268166,0.000001631001,0.7265151,0.0006656408,0.00008987419,0.000004995984,0.000001109016,0.000002774489,0.004552871],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9789565,"threshold_uncertainty_score":0.2875106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005119955166473913,"score_gpt":0.2038580278109582,"score_spread":0.1987380726444843,"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."}}