{"id":"W2120913948","doi":"10.1109/icdm.2010.88","title":"Mixed-Membership Stochastic Block-Models for Transactional Networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Computer science; Generative model; Inference; Theoretical computer science; Data mining; Social network analysis; Transactional leadership; Data modeling; Block (permutation group theory); Social network (sociolinguistics); Stochastic block model; Artificial intelligence; Machine learning; Generative grammar; Social media; Cluster analysis; Database; World Wide Web; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001625167,0.0001517926,0.0001828314,0.00005362255,0.0001378802,0.00004790927,0.000175433,0.00005473321,0.001695967],"category_scores_gemma":[0.0000014919,0.0001415775,0.0002422547,0.0001251355,0.00004138111,0.0001044328,0.00001535542,0.0002461502,0.00000719114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007611955,"about_ca_system_score_gemma":0.00002661302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006919306,"about_ca_topic_score_gemma":0.0001407352,"domain_scores_codex":[0.9991472,0.00001218999,0.0002010019,0.0002454146,0.000111889,0.0002822539],"domain_scores_gemma":[0.999349,0.0001735697,0.00005663453,0.0002439866,0.00008485568,0.00009195434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003358742,0.0001740112,0.0003563362,0.000004066058,0.0002121682,1.458389e-7,0.00003991741,0.3231294,0.0003500376,0.6371998,0.01310861,0.02539199],"study_design_scores_gemma":[0.0002554022,0.00002106455,0.00006335841,0.000004141201,0.00007560017,8.364169e-7,0.0000292098,0.8861157,0.0003192705,0.1104244,0.00248762,0.0002033621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007787519,0.0000075515,0.9804485,0.000132744,0.0001997872,0.0002528423,0.00001241794,0.0001293516,0.0110293],"genre_scores_gemma":[0.9843823,1.508081e-7,0.0135051,0.00004748298,0.000939513,0.0001415522,0.00005312794,0.00002318496,0.0009076102],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9765947,"threshold_uncertainty_score":0.9992166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083208519977615,"score_gpt":0.2559215382858238,"score_spread":0.2350894530860476,"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."}}