{"id":"W2032005951","doi":"10.1561/2200000005","title":"A Survey of Statistical Network Models","year":2010,"lang":"en","type":"article","venue":"Foundations and Trends® in Machine Learning","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":853,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Statistical survey; Computer science; Statistics; 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":[0.0004110871,0.00008728207,0.0001837466,0.0001325422,0.0001143277,0.00003839807,0.00006812611,0.00002218706,0.001225362],"category_scores_gemma":[0.00001531783,0.00008495021,0.00003006454,0.000441542,0.00005509438,0.00007854066,0.00005604184,0.0003726868,0.000001829138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003566504,"about_ca_system_score_gemma":0.00001118466,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006805765,"about_ca_topic_score_gemma":0.004938834,"domain_scores_codex":[0.9992858,0.0001126725,0.0002259464,0.0001553382,0.00007275807,0.0001474427],"domain_scores_gemma":[0.9994798,0.0002288899,0.00008877013,0.0001230693,0.00004283251,0.00003663002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005879131,0.00005150614,0.7317643,0.000001644846,0.00002870597,2.930499e-7,0.00005486211,0.01369263,0.00001818344,0.1306112,0.0001901109,0.1235807],"study_design_scores_gemma":[0.0001678055,0.00001789891,0.4344636,0.000005966839,0.00001648041,2.876203e-7,0.00000625316,0.5385006,0.000001617488,0.02518119,0.001545269,0.00009296394],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5942988,0.0001551457,0.3813515,0.0000944284,0.00008787137,0.00009678436,0.00009214321,0.00007236697,0.02375093],"genre_scores_gemma":[0.9927197,0.000005125579,0.006282283,0.000003392927,0.00006214254,0.000008691287,0.0006967601,0.000009896418,0.0002120623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.524808,"threshold_uncertainty_score":0.999808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02131490892849552,"score_gpt":0.3118738352057813,"score_spread":0.2905589262772857,"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."}}