{"id":"W3009924839","doi":"10.1145/3366423.3380026","title":"Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Scalability; Computer science; Theoretical computer science; Similarity (geometry); Scale (ratio); Graph; Data mining; Artificial intelligence","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":[0.002461126,0.0008067295,0.001120145,0.003157803,0.001114029,0.002652907,0.001750304,0.00165425,0.003040265],"category_scores_gemma":[0.02952932,0.0006098354,0.0006406204,0.003144181,0.00181743,0.008462111,0.0028717,0.002433995,0.001782671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001201078,"about_ca_system_score_gemma":0.0007817385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003058981,"about_ca_topic_score_gemma":0.003101474,"domain_scores_codex":[0.9978172,0.0006265029,0.0001121336,0.0004847569,0.0008131764,0.0001462747],"domain_scores_gemma":[0.9922266,0.003869193,0.0005561994,0.001881076,0.001143569,0.000323464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003969974,0.0001269807,0.00281387,0.0003381488,0.0001064385,0.0002066697,0.0005754674,0.4224378,0.005489727,0.2458332,0.01512618,0.3065486],"study_design_scores_gemma":[0.00001056553,0.00002816109,0.0003945837,0.00002821999,0.000007960034,0.00009732235,0.0001509499,0.6778134,0.001018471,0.3176639,0.00276824,0.00001827046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02715952,0.0006329857,0.968339,0.0005703251,0.0001294039,0.00003674593,0.0002355453,0.000880971,0.002015495],"genre_scores_gemma":[0.6139662,0.0009851926,0.379028,0.0004407394,0.0001842575,0.0001148422,0.0009994335,0.0005774213,0.003703948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003157803,"threshold_uncertainty_score":0.01301581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05467409755096343,"score_gpt":0.2796451305272961,"score_spread":0.2249710329763326,"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."}}