{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004029157,0.001226708,0.001418977,0.002764718,0.0008565554,0.001188021,0.001749097,0.001572692,0.001861948],"category_scores_gemma":[0.0113667,0.0008811649,0.001577368,0.001400926,0.0009120618,0.001766755,0.001161512,0.002083573,0.0007914919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001150329,"about_ca_system_score_gemma":0.0008900588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003762188,"about_ca_topic_score_gemma":0.004430197,"domain_scores_codex":[0.998489,0.000972455,0.00004524435,0.0002374496,0.0001674787,0.00008838699],"domain_scores_gemma":[0.9898233,0.008519899,0.000537709,0.0004356252,0.0004909182,0.0001926284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007262803,0.00008007816,0.001656658,0.00003635994,0.00007596949,0.00008722355,0.00006649269,0.9554262,0.0004372924,0.01040146,0.001551747,0.0301078],"study_design_scores_gemma":[0.000004507025,0.000005841603,0.00004468858,0.00000138331,0.000002197969,0.000005215601,0.000002509475,0.9952453,0.00005827406,0.00454937,0.00007913596,0.000001580163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02525808,0.000132683,0.9728684,0.00034164,0.00002934281,0.0000734798,0.0001939076,0.0005943242,0.0005081894],"genre_scores_gemma":[0.629054,0.0003331157,0.3651737,0.0002788029,0.0001571484,0.0005794599,0.001696633,0.000269131,0.002458122],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004029157,"threshold_uncertainty_score":0.02130848,"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."}}