{"id":"W2163268286","doi":"10.1145/1321440.1321495","title":"Towards practically feasible answering of regular path queries in lav data integration","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Rewriting; Computer science; Complement (music); Path (computing); Theoretical computer science; Context (archaeology); Matching (statistics); Automaton; Mathematics; Programming language","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":[0.00107902,0.00009089481,0.0001577075,0.000095171,0.0000324131,0.00002991573,0.0004817964,0.00003893686,0.00001012734],"category_scores_gemma":[0.0003151988,0.00007308588,0.00001568527,0.0003560234,0.00004602958,0.002456642,0.0004707334,0.00009040431,0.000003705056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002769586,"about_ca_system_score_gemma":0.00007918458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007015669,"about_ca_topic_score_gemma":0.001641377,"domain_scores_codex":[0.9988933,0.00003359426,0.0003475491,0.0003082806,0.0002279494,0.0001893633],"domain_scores_gemma":[0.99865,0.00007549684,0.0001076482,0.001038356,0.00008194576,0.00004658204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001952025,0.00005244333,0.0007805867,0.00003293367,0.000004886198,0.00002969357,0.0004739517,0.00001646338,0.008768123,0.9150467,0.0002710925,0.07450361],"study_design_scores_gemma":[0.00232302,0.0008161357,0.07763796,0.001181621,0.00002206279,0.0002515909,0.008741934,0.09233345,0.4128137,0.01597178,0.3861287,0.001778062],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007415259,0.00008867796,0.9864123,0.0003027812,0.0001418835,0.0001134782,0.00001334303,0.00006538975,0.005446827],"genre_scores_gemma":[0.3114174,0.00002417001,0.6882844,0.00005455048,0.00002867483,0.000002427373,0.00002928033,0.000004996799,0.0001541459],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8990749,"threshold_uncertainty_score":0.2980356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04593498282813204,"score_gpt":0.3264444269121615,"score_spread":0.2805094440840294,"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."}}