{"id":"W2142955537","doi":"10.1145/2063576.2063747","title":"Practical representations for web and social graphs","year":2011,"lang":"en","type":"article","venue":"","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ministerio de Ciencia e Innovación","keywords":"Computer science; Theoretical computer science; Search engine indexing; Graph; Focus (optics); Artificial intelligence","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":[0.0009965084,0.0009983111,0.0008363122,0.001857033,0.0007251671,0.003194578,0.001790154,0.001484789,0.01167228],"category_scores_gemma":[0.009724297,0.0005477674,0.001079864,0.004414408,0.0008088301,0.006582951,0.002287078,0.001923004,0.003345327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238056,"about_ca_system_score_gemma":0.0009698421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002680598,"about_ca_topic_score_gemma":0.004504452,"domain_scores_codex":[0.9986823,0.0004098947,0.0001212575,0.0002132459,0.0004638558,0.0001093827],"domain_scores_gemma":[0.9970371,0.001009979,0.0002189411,0.001270608,0.0003655603,0.0000977965],"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":[0.0003009289,0.0001746331,0.00113036,0.0006320702,0.00006140029,0.0002944893,0.0005386014,0.1808866,0.00362082,0.3605199,0.03234946,0.4194907],"study_design_scores_gemma":[0.00005072841,0.00005817827,0.0001857622,0.00008046215,0.00002890768,0.0003731306,0.0003855099,0.5876081,0.00255115,0.3743218,0.0343313,0.00002494387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01138646,0.0004825532,0.9769131,0.0008093519,0.0001059929,0.0001638623,0.001960537,0.003506918,0.00467123],"genre_scores_gemma":[0.184879,0.000968806,0.8012808,0.0002509356,0.0001081425,0.0004978043,0.006162759,0.0005124751,0.005339319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01167228,"threshold_uncertainty_score":0.03904772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07751962445504977,"score_gpt":0.323755814836158,"score_spread":0.2462361903811082,"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."}}