{"id":"W2977839676","doi":"10.1017/s0007123419000127","title":"Voters Punish Politicians with Depression","year":2019,"lang":"en","type":"article","venue":"British Journal of Political Science","topic":"Historical Psychiatry and Medical Practices","field":"Psychology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Content (measure theory); Depression (economics); Political science; Internet privacy; Business; Psychology; Computer security; Computer science; Law and economics; Economics; Mathematics; Keynesian economics","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":[0.003861234,0.0002517459,0.000433918,0.0005701355,0.00384908,0.002661705,0.0004454523,0.003596889,0.02588573],"category_scores_gemma":[0.02701363,0.0002297055,0.0003689037,0.0004756951,0.001722213,0.0008727164,0.001910109,0.004376872,0.005931691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001561911,"about_ca_system_score_gemma":0.002327825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005770534,"about_ca_topic_score_gemma":0.0112618,"domain_scores_codex":[0.9959377,0.001755431,0.0001028792,0.0001958715,0.0007070675,0.001300898],"domain_scores_gemma":[0.9936406,0.002324871,0.0008717038,0.0002875912,0.000902652,0.00197267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00128512,0.0002919649,0.03729264,0.0001741928,0.0001131746,0.0008351004,0.002112363,0.0002622535,0.0008750275,0.05877148,0.8018491,0.09613751],"study_design_scores_gemma":[0.001116743,0.0008476021,0.1137169,0.0007348215,0.0003052166,0.001145315,0.01213387,0.002718698,0.003070249,0.05351579,0.8106043,0.00009047514],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1849394,0.004648055,0.001175611,0.4272709,0.01172186,0.0001431875,0.0003903142,0.0001669408,0.3695437],"genre_scores_gemma":[0.8727579,0.001166388,0.0003566678,0.06554251,0.002398911,0.00006130776,0.000125807,0.00006180975,0.05752874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02588573,"threshold_uncertainty_score":0.08659637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101432091072875,"score_gpt":0.3141470751231363,"score_spread":0.3031327542124075,"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."}}