{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001144898,0.00009411121,0.0002270007,0.0001091679,0.0001713735,0.0001020558,0.0005687219,0.00007936682,0.001516493],"category_scores_gemma":[0.000692141,0.00007763572,0.00007474599,0.0003963201,0.000854597,0.0005891608,0.00004091844,0.0005982463,0.0002250004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000174454,"about_ca_system_score_gemma":0.0003746735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001073407,"about_ca_topic_score_gemma":0.00003058067,"domain_scores_codex":[0.9974273,0.0001178002,0.0003727055,0.0002615675,0.000861976,0.0009586689],"domain_scores_gemma":[0.9979367,0.0002715095,0.000194234,0.0001823576,0.0002202874,0.001194956],"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":[0.000477438,0.001516089,0.06426382,0.00005804478,0.00008112985,0.00304044,0.0007485846,0.000007165424,0.002396729,0.8564927,0.0150026,0.05591523],"study_design_scores_gemma":[0.003297646,0.002276879,0.8740559,0.0008103834,0.0001257578,0.02817009,0.00361896,0.00002599442,0.0003085033,0.01162344,0.07509369,0.000592721],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7965813,0.0004012113,0.0008841433,0.00220977,0.002642221,0.00009376576,0.000004457136,0.00001735879,0.1971658],"genre_scores_gemma":[0.995255,0.000005429004,0.0007751634,0.002017837,0.0004541238,0.000001011118,2.148707e-7,0.000009347921,0.001481894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8448693,"threshold_uncertainty_score":0.9993963,"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."}}