{"id":"W3196202149","doi":"10.1145/3468791.3468805","title":"Distributed Enumeration of Four Node Graphlets at Quadrillion-Scale","year":2021,"lang":"en","type":"article","venue":"","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Enumeration; Scalability; Computer science; Node (physics); Overhead (engineering); Theoretical computer science; Graph; Probabilistic logic; Task (project management); Distributed computing; Parallel computing; Discrete mathematics; Mathematics; Programming language; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001377635,0.00007324761,0.0001096878,0.00004468368,0.00009541443,0.00003716845,0.0002413968,0.0000375976,0.0001421273],"category_scores_gemma":[0.00001662894,0.00006505583,0.00008470657,0.0005102893,0.00003045422,0.0002123556,0.0001505555,0.00004404512,0.00003156234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001071449,"about_ca_system_score_gemma":0.00002222051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006931117,"about_ca_topic_score_gemma":0.00002118168,"domain_scores_codex":[0.9992396,0.00007301441,0.0001646835,0.0002216724,0.0001644121,0.0001366283],"domain_scores_gemma":[0.999351,0.0000569834,0.00005162909,0.0003724433,0.0001146978,0.00005327839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001887226,0.0003861217,0.01474954,0.00005080051,0.00008511484,0.000116163,0.001138338,0.0008368937,0.1234127,0.8281869,0.00338788,0.02763065],"study_design_scores_gemma":[0.0007296494,0.00007258616,0.0198156,0.00002615784,0.0000144717,0.0001055132,0.00008596842,0.05728846,0.8460777,0.06934659,0.006056508,0.0003808384],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.110977,0.00004289681,0.8861358,0.0006960708,0.0002391727,0.00003809817,0.0000129861,0.00007025259,0.001787737],"genre_scores_gemma":[0.958258,0.00001305126,0.04091371,0.0001840443,0.00002204216,0.000003829665,0.0000325122,0.000003546982,0.000569232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.847281,"threshold_uncertainty_score":0.26529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127811352676037,"score_gpt":0.2132332315815838,"score_spread":0.2019551180548234,"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."}}