{"id":"W3196958324","doi":"10.1038/s41598-021-98139-w","title":"Identifying hidden coalitions in the US House of Representatives by optimally partitioning signed networks based on generalized balance","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Max-Planck-Institut für demografische Forschung","keywords":"Balance (ability); Computer science; Biology; Neuroscience","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002038844,0.0006536592,0.0009092769,0.001032134,0.001065226,0.002500519,0.001168294,0.001308315,0.005031275],"category_scores_gemma":[0.01115894,0.0004968449,0.0006399689,0.0008687658,0.001580413,0.004377708,0.002133919,0.00143146,0.0004554878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001867411,"about_ca_system_score_gemma":0.001312913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003638992,"about_ca_topic_score_gemma":0.00518861,"domain_scores_codex":[0.998907,0.0005623437,0.00002732581,0.0002268168,0.0001244045,0.0001521525],"domain_scores_gemma":[0.996947,0.001886488,0.0005163758,0.000225503,0.0001778988,0.0002467123],"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":[0.0003616055,0.0001313924,0.005642566,0.0001121996,0.00008069124,0.0001322511,0.0005443539,0.6511573,0.002317876,0.2932788,0.00334348,0.04289744],"study_design_scores_gemma":[0.00004900732,0.00003796082,0.0008737125,0.00002403557,0.00001557297,0.00002590072,0.0002594968,0.7827631,0.0006122478,0.2139476,0.001374807,0.00001653011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4327422,0.0003232089,0.5541479,0.001490715,0.00004995292,0.0001628799,0.000352932,0.0001458091,0.01058441],"genre_scores_gemma":[0.9477711,0.0001550065,0.0474591,0.0001740276,0.00003765559,0.0001733846,0.0003127413,0.00007446208,0.003842543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005031275,"threshold_uncertainty_score":0.01683134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812049570254284,"score_gpt":0.2991955959619063,"score_spread":0.2810751002593635,"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."}}