{"id":"W2293524909","doi":"10.5441/002/edbt.2015.49","title":"WAVEGUIDE: Evaluating SPARQL Property Path Queries","year":2015,"lang":"en","type":"article","venue":"Movebank","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"SPARQL; Computer science; Automaton; Property (philosophy); Graph; Path (computing); RDF; Waveguide; Theoretical computer science; Information retrieval; Programming language; Physics; Semantic Web; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003564614,0.001081685,0.0008040334,0.000968368,0.000710691,0.002523853,0.001643891,0.0009213875,0.008950212],"category_scores_gemma":[0.008861876,0.0008486111,0.001134743,0.001336447,0.001088497,0.006537521,0.002327216,0.001323723,0.001856813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156221,"about_ca_system_score_gemma":0.001597239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0115363,"about_ca_topic_score_gemma":0.01569881,"domain_scores_codex":[0.9962956,0.0009424225,0.0002993814,0.0006187012,0.001630545,0.0002132433],"domain_scores_gemma":[0.9967416,0.001593718,0.0001463185,0.0008481174,0.0005854402,0.00008489063],"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":[0.00249062,0.0006470841,0.01066142,0.001882159,0.0005424102,0.0009261448,0.001776573,0.1528347,0.06990272,0.1613026,0.1817304,0.4153032],"study_design_scores_gemma":[0.0002423948,0.0001908201,0.001618126,0.0001074644,0.0001033919,0.0002733244,0.0007557474,0.7766402,0.07704075,0.07568663,0.06723148,0.0001095817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06003522,0.0005044996,0.7993711,0.0009322997,0.0001622576,0.0003700735,0.008406945,0.1164131,0.01380439],"genre_scores_gemma":[0.3981059,0.0005972566,0.5497787,0.0007281227,0.00007744992,0.0004462255,0.02151652,0.01720464,0.0115453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0115363,"threshold_uncertainty_score":0.02994144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1273108943871057,"score_gpt":0.3217526883773843,"score_spread":0.1944417939902786,"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."}}