{"id":"W2268506948","doi":"10.14778/2824032.2824128","title":"S+EPPs","year":2015,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"SPARQL; Computer science; Component (thermodynamics); Graph; Theoretical computer science; Information retrieval; RDF; Semantic Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004414062,0.00008550421,0.00009932996,0.00004534445,0.00005797815,0.00005600574,0.001222908,0.00002265954,0.000002961798],"category_scores_gemma":[0.00005638969,0.00005365784,0.00007159053,0.0003206094,0.00005462693,0.0002865015,0.0004654459,0.0000754636,0.00001856016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002554984,"about_ca_system_score_gemma":0.00002321683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006373683,"about_ca_topic_score_gemma":1.441984e-7,"domain_scores_codex":[0.9991891,0.00000538715,0.0001442557,0.0001731351,0.0003158222,0.0001722389],"domain_scores_gemma":[0.999488,0.00001290677,0.0001100035,0.0001561665,0.000148666,0.0000842545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000078039,0.00009238796,0.00133979,0.00001806569,0.00002084676,4.57407e-7,0.001877356,0.00001288094,0.007617921,0.9761877,0.004794515,0.008030276],"study_design_scores_gemma":[0.0008791683,0.0001956137,0.001199821,0.00006480868,0.00001610537,0.00003912973,0.0004969937,0.002624215,0.3722014,0.6074331,0.0146072,0.0002424562],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7289942,0.0008312823,0.02160851,0.01523209,0.003989908,0.001361834,0.000006656383,0.0006412276,0.2273343],"genre_scores_gemma":[0.9897546,0.000003915908,0.009400987,0.0002103369,0.00004669523,0.0000149374,6.478766e-8,0.000004478742,0.0005639916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3687546,"threshold_uncertainty_score":0.2272487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193053903847535,"score_gpt":0.2090325920791987,"score_spread":0.1897272016944452,"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."}}