{"id":"W2397638999","doi":"","title":"Evaluation of SPARQL Property Paths via Recursive SQL.","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"SPARQL; Named graph; RDF; Computer science; SQL; Property (philosophy); Information retrieval; Relational database; Theoretical computer science; Database; 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":[0.0005913568,0.0000570437,0.0000917069,0.00003503112,0.00002535182,0.0000340765,0.0003659928,0.00003270958,0.0003235489],"category_scores_gemma":[0.0001646048,0.00003065352,0.00002738086,0.0001201107,0.00003018205,0.0003540597,0.00009279743,0.00003074466,0.0002161757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002088742,"about_ca_system_score_gemma":0.00007278187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000521997,"about_ca_topic_score_gemma":0.00003001062,"domain_scores_codex":[0.9990482,0.00009518216,0.0001338785,0.0001665237,0.0004377644,0.0001184914],"domain_scores_gemma":[0.9989775,0.00003958949,0.00005730066,0.0003380325,0.0005607556,0.00002677288],"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":[0.000001465522,0.0000897882,0.001595133,0.00001134454,0.00002471072,9.66115e-7,0.0009833648,0.000059952,0.004633878,0.01675622,0.01432774,0.9615154],"study_design_scores_gemma":[0.0007203122,0.0002854904,0.08006402,0.00003634615,0.00004572493,0.00001465274,0.0004383205,0.6890467,0.06362052,0.1643568,0.001075103,0.00029598],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2427702,0.0003363919,0.6311151,0.004607361,0.0007741821,0.001128891,4.038015e-7,0.0002309875,0.1190364],"genre_scores_gemma":[0.9698347,0.000005084394,0.02949249,0.0001405341,0.00001788167,0.00003126645,4.089524e-7,0.000001959442,0.0004756665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9612194,"threshold_uncertainty_score":0.3542634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05009813502725391,"score_gpt":0.2715724281448162,"score_spread":0.2214742931175623,"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."}}