{"id":"W2899458107","doi":"10.1109/cluster.2018.00053","title":"Graph Partitioning Algorithm with LSH: Poster Extended Abstract","year":2018,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Graph partition; Algorithm; Hash function; Graph; Locality; Graph bandwidth; Theoretical computer science; Voltage graph; Line graph","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001175139,0.00008926563,0.000076299,0.00006312469,0.0001532099,0.0002013734,0.0002951783,0.0000256972,0.00009304059],"category_scores_gemma":[0.000003748283,0.00006451386,0.00003926862,0.000164391,0.00005628843,0.0004511453,0.0000684592,0.00007700914,0.0002250798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001000391,"about_ca_system_score_gemma":0.00002324594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001280409,"about_ca_topic_score_gemma":0.00004386808,"domain_scores_codex":[0.9992285,0.00001359814,0.0001057462,0.0002595058,0.0001859093,0.0002066864],"domain_scores_gemma":[0.9994334,0.00002372502,0.00003550951,0.0003368247,0.0001009151,0.00006963033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005882869,0.0003834242,0.003143202,0.0000144589,0.0001726091,0.0002642486,0.001849931,0.00002747214,0.005869373,0.0470037,0.01378335,0.9274294],"study_design_scores_gemma":[0.008805701,0.007427477,0.4219528,0.0007691703,0.0001514242,0.002121318,0.001164223,0.3956152,0.07842584,0.04854896,0.02960328,0.005414605],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0822787,0.00003572407,0.8758112,0.0008193396,0.0003525293,0.00008021371,0.000001422444,0.0004090938,0.04021176],"genre_scores_gemma":[0.9752035,0.000002152032,0.02247443,0.0009690445,0.0001209386,0.000004774502,0.000001461869,0.000005412141,0.001218325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9220148,"threshold_uncertainty_score":0.2893021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451024964493544,"score_gpt":0.2257791327788206,"score_spread":0.2112688831338851,"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."}}