{"id":"W3156195318","doi":"10.1016/j.ssresearch.2021.102574","title":"The achilles heel of democracy? A macro cross-national assessment of the correlates of state legitimacy","year":2021,"lang":"en","type":"article","venue":"Social Science Research","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Legitimacy; Democracy; Endogeneity; Nationalism; State (computer science); Political science; Positive economics; Economics; Econometrics; Law; Politics; Mathematics","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.008307504,0.00004388603,0.000119944,0.0000449755,0.002644291,0.000120452,0.0005841526,0.00004293806,0.00004986817],"category_scores_gemma":[0.003081458,0.00002737964,0.00008178489,0.001789372,0.00666293,0.0001869853,0.000191383,0.0002089545,0.000001988934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002212151,"about_ca_system_score_gemma":0.004178126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004639628,"about_ca_topic_score_gemma":0.00202835,"domain_scores_codex":[0.9953747,0.0008502291,0.0003194632,0.0001488324,0.002813077,0.0004937268],"domain_scores_gemma":[0.9958762,0.00111377,0.0001506979,0.0001216752,0.002659574,0.00007810267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000006183859,0.00006732078,0.2447292,0.0000173696,0.000008645948,2.46049e-7,0.003694207,0.00002365457,0.0101496,0.739516,0.0001805993,0.001606941],"study_design_scores_gemma":[0.0001325427,0.00003813837,0.8598366,0.00003376829,0.000003276331,2.209318e-7,0.002395876,0.0003418511,0.009039815,0.1270178,0.001106048,0.00005399849],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524246,0.00005948078,0.00001748501,0.004933064,0.0001637485,0.0002303191,0.00002370558,0.000004009265,0.04214355],"genre_scores_gemma":[0.9986545,0.00001901832,0.00002381845,0.00001049459,0.00008475078,0.00001105938,5.617504e-7,0.000002763762,0.001193072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6151074,"threshold_uncertainty_score":0.9986541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1421380433756131,"score_gpt":0.5582589763758781,"score_spread":0.416120933000265,"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."}}