{"id":"W2999086706","doi":"10.1103/physreve.103.022307","title":"Competitive balance theory: Modeling conflict of interest in a heterogeneous network","year":2021,"lang":"en","type":"article","venue":"Physical review. E","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Balance (ability); Detailed balance; Balance theory; State (computer science); Set (abstract data type); Work (physics); Economics; Computer science; Statistical physics; Social psychology; Physics; Psychology","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":[0.001793015,0.000618957,0.0007224445,0.001110699,0.001082583,0.002114136,0.00190318,0.002200965,0.004792094],"category_scores_gemma":[0.006513098,0.0003434726,0.0007887475,0.00102402,0.001826943,0.00318616,0.001563813,0.001186437,0.0004118664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001974657,"about_ca_system_score_gemma":0.00102329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00855059,"about_ca_topic_score_gemma":0.004440761,"domain_scores_codex":[0.999176,0.0004180916,0.00002339699,0.0001230757,0.0001328481,0.0001267359],"domain_scores_gemma":[0.9975948,0.001552914,0.0003821411,0.00008008943,0.0001716528,0.0002184515],"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":[0.00005990692,0.00006061655,0.002965974,0.00005918764,0.00006491037,0.0003060854,0.0005263248,0.428761,0.001049781,0.5556264,0.001974876,0.008544881],"study_design_scores_gemma":[0.00002143216,0.00002669029,0.0004117356,0.00001007853,0.00001261444,0.00003588904,0.00007453529,0.8937824,0.00006942346,0.104082,0.001462721,0.0000105825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2338253,0.001568017,0.7017713,0.005433858,0.0002993722,0.0002057475,0.0003544375,0.000117278,0.05642461],"genre_scores_gemma":[0.9653206,0.0006708887,0.0234374,0.0002712334,0.0002411777,0.0002006983,0.00008646394,0.00003082285,0.009740664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00855059,"threshold_uncertainty_score":0.01700163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0583596090559271,"score_gpt":0.3514717072802821,"score_spread":0.293112098224355,"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."}}