{"id":"W2044028731","doi":"10.1080/15427951.2012.671149","title":"Model Selection for Social Networks Using Graphlets","year":2012,"lang":"en","type":"article","venue":"Internet Mathematics","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Property (philosophy); Selection (genetic algorithm); Model selection; Machine learning; Artificial intelligence; Computer science; Mathematics; Tree (set theory); Data mining; Theoretical computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001734683,0.0001246481,0.0001896676,0.00005295015,0.00007245738,0.00003966063,0.0001130455,0.00004124319,0.00009491669],"category_scores_gemma":[0.000002348365,0.0001215488,0.0001818447,0.0001091511,0.00001950991,0.000106423,0.00004612212,0.00008753907,0.000003966511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003141175,"about_ca_system_score_gemma":0.000007850858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002461929,"about_ca_topic_score_gemma":0.000003527925,"domain_scores_codex":[0.9993036,0.00001233444,0.0002273401,0.00009845047,0.00008100145,0.0002772073],"domain_scores_gemma":[0.9996276,0.00004354862,0.0001418904,0.00008942734,0.00005757669,0.00003990347],"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":[0.00002228917,0.001327791,0.02044445,0.00008931824,0.0007221205,7.10671e-8,0.004133742,0.02202664,0.001372239,0.8896957,0.0502402,0.009925439],"study_design_scores_gemma":[0.00008003233,0.000009519049,0.00001408914,0.00001577798,0.00009414223,6.848032e-7,0.00004710341,0.961096,0.0005499045,0.03753561,0.0004316057,0.0001254824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1285037,0.00001394533,0.8697917,0.000008226784,0.00004615047,0.0001596861,0.000003320979,0.00006500661,0.001408264],"genre_scores_gemma":[0.9009362,2.326257e-7,0.09795486,0.00001841821,0.0007070472,0.00003721658,0.00001358579,0.00002574444,0.0003067307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9390694,"threshold_uncertainty_score":0.4956617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07055483639277808,"score_gpt":0.3336439917856682,"score_spread":0.2630891553928901,"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."}}