{"id":"W2005724884","doi":"10.5539/ijsp.v2n4p64","title":"Assessing Goodness of Fit of Exponential Random Graph Models","year":2013,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Goodness of fit; Exponential random graph models; Statistic; Computer science; Exponential function; Graph; Statistics; Mathematics; Data mining; Random graph; Theoretical computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003763217,0.00007715318,0.0002760872,0.00008534877,0.00002026055,0.00005917413,0.0001884026,0.00001790101,0.0002879041],"category_scores_gemma":[0.00002482637,0.00006434792,0.0001049749,0.0000560402,0.0001086436,0.00029684,0.00005703268,0.00009635193,1.838726e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000127804,"about_ca_system_score_gemma":0.00004963509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003072947,"about_ca_topic_score_gemma":0.000003577793,"domain_scores_codex":[0.9988287,0.00006303786,0.0006528932,0.00008259786,0.0003027301,0.00007006169],"domain_scores_gemma":[0.9978275,0.0002180641,0.0006804912,0.00008512998,0.001145541,0.00004326987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004723589,0.001714985,0.214906,0.0001740415,0.002289977,0.000005926934,0.001099318,0.01032448,0.008356783,0.4243855,0.002237875,0.3340327],"study_design_scores_gemma":[0.0007835386,0.00005852612,0.01554561,0.00007689263,0.00006921829,0.000002837629,0.00008863417,0.02013077,0.001576036,0.9615586,0.00003195791,0.00007736377],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4819904,0.00003256874,0.5174527,0.00003861922,0.00007257738,0.00006367319,0.00006269356,0.000001514958,0.0002852158],"genre_scores_gemma":[0.9462221,0.00001282829,0.05364982,0.000003910293,0.00008939287,0.000002899873,0.000009337873,0.000004178303,0.000005483295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5371731,"threshold_uncertainty_score":0.3152348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03118772774747145,"score_gpt":0.3108430410146557,"score_spread":0.2796553132671842,"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."}}