{"id":"W4388491187","doi":"10.1007/s11222-023-10342-z","title":"Online estimation and community detection of network point processes for event streams","year":2023,"lang":"en","type":"article","venue":"Statistics and Computing","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"National Science Foundation","keywords":"Inference; Computer science; Event (particle physics); Data mining; Point process; Scalability; Regret; Machine learning; Artificial intelligence; Theoretical computer science; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002562043,0.00006563381,0.0001308215,0.00003049393,0.0002635826,0.00002306159,0.00003547805,0.0000110627,0.000001359452],"category_scores_gemma":[0.00002748695,0.00006605239,0.00001458873,0.0001685149,0.00002746482,0.0000198555,0.00007162734,0.00007963509,8.843732e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004484042,"about_ca_system_score_gemma":0.00001189089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001872833,"about_ca_topic_score_gemma":0.00007623299,"domain_scores_codex":[0.9995555,0.00004143085,0.0001786927,0.0000788352,0.00004127659,0.0001042897],"domain_scores_gemma":[0.9991996,0.0004888048,0.0001258462,0.0000707484,0.00009321895,0.00002180974],"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":[0.000008986844,0.00008334241,0.008408659,0.0002131637,0.00006090337,9.591017e-8,0.0004230218,0.01521282,0.0001174454,0.01080109,0.0002659924,0.9644045],"study_design_scores_gemma":[0.000121611,0.00009536745,0.009953989,0.00006521502,0.00003694817,2.302288e-7,0.0002930209,0.8837017,0.0002100069,0.1054156,0.00003835215,0.00006788485],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3623776,0.00002135287,0.6373754,0.000008361253,0.00001252121,0.00008247726,0.00008536069,0.00002494483,0.00001197593],"genre_scores_gemma":[0.9526683,0.000007107945,0.04697929,0.000003659902,0.00007924796,0.000004497415,0.0002455347,0.000006855075,0.000005494066],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9643366,"threshold_uncertainty_score":0.2693538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715036860203964,"score_gpt":0.3055108508536963,"score_spread":0.2883604822516567,"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."}}