{"id":"W2143195285","doi":"10.1177/1532673x14532825","title":"Looking Good or Looking Competent? Physical Appearance and Electoral Success in the 2008 Congressional Elections","year":2014,"lang":"en","type":"article","venue":"American Politics Research","topic":"Evolutionary Psychology and Human Behavior","field":"Psychology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's and Gender Studies et Recherches Féministes","funders":"","keywords":"Competence (human resources); Physical attractiveness; Attractiveness; Perception; Social psychology; Psychology; Human physical appearance; Political science; Public relations","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009256812,0.0001052628,0.0002051553,0.0006455071,0.0008871445,0.0014309,0.000188959,0.0005669944,0.004322816],"category_scores_gemma":[0.004013161,0.0001170327,0.0002521576,0.0004582371,0.0006324608,0.0003782324,0.0005824738,0.0009267004,0.0006960008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004245834,"about_ca_system_score_gemma":0.0002694638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0168481,"about_ca_topic_score_gemma":0.06007538,"domain_scores_codex":[0.9995042,0.0001688531,0.00002538388,0.00004247158,0.0001092595,0.000149803],"domain_scores_gemma":[0.9966481,0.0003751474,0.001339679,0.00009881774,0.0003099125,0.001228287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001280471,0.0002262586,0.9925269,0.000008752666,0.000026349,0.0001037734,0.0007428076,0.00005076055,0.0002394812,0.0002105275,0.0006832503,0.005053101],"study_design_scores_gemma":[0.000001786595,0.00002803931,0.9987609,0.000003098719,0.000003649707,0.00003542737,0.000834219,0.00004547836,0.00001901651,0.00001967367,0.000246356,0.00000233749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967775,0.0000854985,0.00001621696,0.0002826936,0.00001382154,0.000002744123,0.00004135514,0.000001398307,0.002778898],"genre_scores_gemma":[0.9990564,0.00003798084,0.00001619784,0.00003052629,0.00001106934,0.000001512791,0.00004276288,0.000001164366,0.0008023536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0168481,"threshold_uncertainty_score":0.03350008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06784877476606177,"score_gpt":0.4615930652592876,"score_spread":0.3937442904932258,"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."}}