{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007265983,0.0001232443,0.0001563891,0.00003957862,0.00008200835,0.0001977419,0.00066716,0.00005235624,0.0000148515],"category_scores_gemma":[0.000646875,0.00007468973,0.00004242754,0.0001726327,0.00005962772,0.0004599677,0.0003217039,0.00008496017,0.0001743269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004494894,"about_ca_system_score_gemma":0.0001695203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002044263,"about_ca_topic_score_gemma":0.00001714012,"domain_scores_codex":[0.9987156,0.00008334485,0.0002057226,0.0003168171,0.0003919051,0.0002866518],"domain_scores_gemma":[0.9990349,0.00005816207,0.00006793375,0.0005696047,0.0001723831,0.00009695952],"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":[0.00007738484,0.0003203856,0.09566249,0.000114697,0.0001059365,0.0003663614,0.01589872,0.001124293,0.005530946,0.2054733,0.1114232,0.5639022],"study_design_scores_gemma":[0.002373266,0.001102993,0.05905753,0.0001324866,0.00002795703,0.0001649532,0.0008472132,0.727313,0.0199084,0.07534559,0.1124233,0.001303262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5484128,0.001720191,0.2854606,0.007704069,0.00330565,0.0006231834,0.000002816955,0.00156311,0.1512076],"genre_scores_gemma":[0.8911226,0.000007210867,0.101398,0.0009896652,0.000175653,0.00002636496,0.000001655655,0.00001129674,0.00626752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7261888,"threshold_uncertainty_score":0.3045759,"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."}}