{"id":"W2919447473","doi":"10.1007/978-3-319-77525-8_215","title":"Graph Query Processing","year":2019,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Big Data Technologies","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Graph; Query optimization; Information retrieval; Theoretical computer science","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":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0003767146,0.0004457913,0.0005985723,0.0007139313,0.00009518738,0.0000855304,0.007968135,0.0006669745,0.000009599506],"category_scores_gemma":[0.0001435309,0.0003907162,0.0001170202,0.0002476849,0.0005011626,0.0007953641,0.004705362,0.000694022,0.0001000814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001687151,"about_ca_system_score_gemma":0.0002634423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004501647,"about_ca_topic_score_gemma":0.000004899877,"domain_scores_codex":[0.9976062,0.00001455967,0.0005118042,0.001080238,0.0004350363,0.0003521267],"domain_scores_gemma":[0.9945825,0.0001245587,0.0005520635,0.004607066,0.0001014802,0.00003226835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001974341,0.00001357908,0.00001415537,0.0001136836,0.00002894851,0.0000210088,0.00003235494,6.882365e-7,0.000006918388,0.309706,0.002613585,0.6874471],"study_design_scores_gemma":[0.000126683,0.00008515582,0.00001152702,0.000440526,0.00003564569,0.00001941301,0.00005720208,0.0001992075,0.0001783566,0.5348843,0.4634018,0.0005602246],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002795333,0.01229542,0.1147411,0.0006338733,0.002151444,0.0005283283,0.0005144508,0.002909481,0.8661979],"genre_scores_gemma":[0.01584239,0.07543006,0.2548563,0.0002884263,0.0009436135,0.00006772461,0.001542887,0.0003724263,0.6506562],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6868869,"threshold_uncertainty_score":0.9998544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04651842575543143,"score_gpt":0.2419583743716511,"score_spread":0.1954399486162197,"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."}}