{"id":"W2755658662","doi":"10.1007/s00778-019-00548-x","title":"The ubiquity of large graphs and surprising challenges of graph processing: extended survey","year":2019,"lang":"en","type":"article","venue":"The VLDB Journal","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Suite; Graph; Scalability; Graph drawing; Visualization; Call graph; Data visualization","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003521405,0.0008484069,0.001525213,0.003811397,0.001094366,0.004307706,0.002686842,0.002150926,0.003870468],"category_scores_gemma":[0.0199426,0.001033507,0.0007591307,0.007085608,0.003670955,0.01496999,0.002497525,0.002925726,0.00127783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587449,"about_ca_system_score_gemma":0.001459882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002360604,"about_ca_topic_score_gemma":0.002826448,"domain_scores_codex":[0.9978035,0.0005830643,0.0001008938,0.0007293304,0.0006286118,0.0001545708],"domain_scores_gemma":[0.9681472,0.02594262,0.001152995,0.002463004,0.001640864,0.0006534325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000164054,0.0001794589,0.01260582,0.004672566,0.0001931829,0.000267284,0.0004383849,0.01874274,0.001927419,0.2863099,0.04613047,0.6283687],"study_design_scores_gemma":[0.00002156128,0.0000994178,0.006019396,0.0008891069,0.00009043835,0.001478394,0.0007428388,0.04954101,0.001610467,0.7115039,0.2279352,0.00006834722],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05113453,0.5899597,0.2586038,0.05807485,0.001236712,0.0001152062,0.001843052,0.00136651,0.03766572],"genre_scores_gemma":[0.3021656,0.5546473,0.1201978,0.008320748,0.006998458,0.0001373027,0.00286681,0.0005662181,0.004099707],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004307706,"threshold_uncertainty_score":0.01862317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115508178165599,"score_gpt":0.263779211117652,"score_spread":0.242624129335996,"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."}}