{"id":"W2293055137","doi":"","title":"Low-cost queryable linked data through triple pattern fragments","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"SPARQL; Computer science; Metadata; Server; Linked data; Database; Graph; Operating system; World Wide Web; RDF; Semantic Web","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":[0.000339008,0.0001567295,0.0002068058,0.00002963704,0.0001495539,0.00009942662,0.001368986,0.00004900591,0.00009385563],"category_scores_gemma":[0.00007145084,0.0001239875,0.00002894351,0.0001882764,0.00003237334,0.002473569,0.001268094,0.0001045307,0.0004688677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001907481,"about_ca_system_score_gemma":0.00003448926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006085125,"about_ca_topic_score_gemma":0.0001564728,"domain_scores_codex":[0.9984237,0.00006918869,0.0002796011,0.0006206555,0.0002698923,0.0003369696],"domain_scores_gemma":[0.9970683,0.00007259032,0.00009574029,0.00263156,0.00004678226,0.00008503588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000136008,0.0003571607,0.003546919,0.0001890678,0.00007024971,0.00003391066,0.0009599588,0.0001832177,0.001448449,0.3785926,0.1477538,0.4668511],"study_design_scores_gemma":[0.000566435,0.00003315018,0.0003607621,0.00005313596,0.000003106833,0.000007635112,0.00003763742,0.05972346,0.002413327,0.0009330114,0.9355925,0.0002758528],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000522018,0.00003471513,0.9903352,0.0004209406,0.0007917746,0.000222267,0.00007291904,0.0002317147,0.007368443],"genre_scores_gemma":[0.3288514,0.00006616399,0.6519474,0.006593481,0.0007722111,0.00008584464,0.0007943497,0.00005090931,0.01083822],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7878387,"threshold_uncertainty_score":0.6026502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04317385355380802,"score_gpt":0.2897115325790043,"score_spread":0.2465376790251963,"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."}}