{"id":"W1031007865","doi":"10.1007/978-3-319-09758-9_2","title":"Using Mathematical Programming to Refine Heuristic Solutions for Network Clustering","year":2014,"lang":"en","type":"book-chapter","venue":"Springer proceedings in mathematics & statistics","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Heuristics; Cluster analysis; Integer programming; Mathematical optimization; Computer science; Heuristic; Quadratic programming; Graph; Quadratic equation; Algorithm; Mathematics; Theoretical computer science; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001185899,0.000756115,0.001333111,0.0003513644,0.0003284934,0.0002847156,0.0005317942,0.0002183255,0.0002048795],"category_scores_gemma":[0.0001543413,0.0008276283,0.0002595124,0.0001536185,0.0001123609,0.00005931449,0.0006241858,0.0005982998,0.00004643644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002494754,"about_ca_system_score_gemma":0.00007659924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001368039,"about_ca_topic_score_gemma":0.00002618753,"domain_scores_codex":[0.9961633,0.000007488476,0.001507894,0.0007256569,0.0004804604,0.001115219],"domain_scores_gemma":[0.9975846,0.0004627555,0.0008336438,0.0004315573,0.0004633855,0.0002240254],"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":[0.00001008753,0.00007339507,0.0000404148,0.001176519,0.0001622073,0.00000230846,0.0003441458,0.001055084,0.00002014452,0.9846703,0.002590206,0.009855175],"study_design_scores_gemma":[0.0002070279,0.00007872474,0.000002946424,0.002102317,0.0004725136,0.000004439631,0.00005128426,0.1908388,0.000006537297,0.7719179,0.03351604,0.0008014964],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00004102101,0.00004912425,0.9498181,0.00003091712,0.0001107021,0.001723093,0.0001379328,0.0001623834,0.0479267],"genre_scores_gemma":[0.00326167,0.000007586567,0.9758584,0.00003015797,0.001231257,0.0003070727,0.00007658107,0.0003050404,0.01892225],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2127524,"threshold_uncertainty_score":0.9994175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05286764056656895,"score_gpt":0.3095841128748814,"score_spread":0.2567164723083125,"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."}}