{"id":"W1542773558","doi":"10.1007/978-3-540-74767-3_38","title":"Distributed Multi-source Regular Path Queries","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Path (computing); Distributed computing; Theoretical computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001725191,0.0007872446,0.001560354,0.001023503,0.001048303,0.002064516,0.002400419,0.001344075,0.007954014],"category_scores_gemma":[0.005543147,0.0006029667,0.0005837731,0.002405431,0.0008400213,0.00465939,0.003939048,0.001422244,0.002381032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008564999,"about_ca_system_score_gemma":0.0008161596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007698719,"about_ca_topic_score_gemma":0.001174488,"domain_scores_codex":[0.9983279,0.0002945328,0.0001255589,0.0003594972,0.0007130696,0.0001794087],"domain_scores_gemma":[0.9955035,0.001686723,0.0001504381,0.002175909,0.0003475613,0.0001358508],"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":[0.002999004,0.0005863651,0.002530213,0.001004192,0.0001962572,0.0005874185,0.0008277943,0.111477,0.05524036,0.1530138,0.060697,0.6108406],"study_design_scores_gemma":[0.0004102514,0.0002321106,0.0006133194,0.00004768855,0.0001082989,0.0008044675,0.0002869916,0.7417774,0.03586248,0.1816132,0.03817866,0.00006502607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04453079,0.0005814525,0.9246821,0.0007819308,0.0001925197,0.0002986903,0.00116258,0.01312953,0.0146403],"genre_scores_gemma":[0.5668521,0.0006231077,0.4017671,0.0003300484,0.0002357138,0.0003275799,0.003873974,0.00190967,0.02408074],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007954014,"threshold_uncertainty_score":0.02660877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389527612630103,"score_gpt":0.2499703284270589,"score_spread":0.2260750523007579,"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."}}