{"id":"W7015238914","doi":"","title":"S+EPP: Construct and Explore Bisimulation Summaries, plus Optimize Navigational Queries; all on Existing SPARQL Systems","year":2015,"lang":"en","type":"article","venue":"IRIS Research product catalog (Sapienza University of Rome)","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"SPARQL; Graph; Bisimulation; Component (thermodynamics); Tree traversal; Property (philosophy); Graph traversal; Class (philosophy); Construct (python library); Reachability","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002694918,0.0001824175,0.0003068583,0.0004247804,0.0004683763,0.0001562763,0.0008882903,0.00008905323,0.000007065148],"category_scores_gemma":[0.0005739271,0.0001903039,0.00004957333,0.0007749354,0.0009562119,0.001028607,0.0006715388,0.0004181172,0.00003296778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002109414,"about_ca_system_score_gemma":0.0004083362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006894242,"about_ca_topic_score_gemma":0.00001388449,"domain_scores_codex":[0.9970202,0.0005889305,0.000218986,0.0006954042,0.001009703,0.0004667624],"domain_scores_gemma":[0.9975584,0.0004509115,0.0001525524,0.0006726293,0.0008502397,0.0003152521],"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":[0.00302157,0.0007424326,0.01139003,0.001143044,0.0007358639,0.001523389,0.07769196,0.07683469,0.002348114,0.7302102,0.02982636,0.06453235],"study_design_scores_gemma":[0.02609135,0.008535968,0.01270112,0.002079565,0.0001609153,0.001136911,0.05150967,0.5015522,0.01211787,0.07616235,0.3032914,0.004660606],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9517441,0.001616521,0.03895418,0.001854246,0.0008092573,0.001494019,0.0001824274,0.0002851727,0.003060089],"genre_scores_gemma":[0.9873852,0.000042464,0.01148928,0.0000155738,0.00009785371,0.000002272064,0.0001653322,0.00001281074,0.0007891781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6540478,"threshold_uncertainty_score":0.7760368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1402402410226312,"score_gpt":0.3263360894460746,"score_spread":0.1860958484234433,"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."}}