{"id":"W2898350558","doi":"10.1111/ssqu.12540","title":"What Are Good‐Looking Candidates, and Can They Sway Election Results?*","year":2018,"lang":"en","type":"article","venue":"Social Science Quarterly","topic":"Evolutionary Psychology and Human Behavior","field":"Psychology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Attractiveness; Ideal (ethics); Ranking (information retrieval); Physical attractiveness; Social psychology; Psychology; Computer science; Political science; Law; Artificial intelligence","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":[0.003454024,0.0001928087,0.000320276,0.0006075577,0.001866797,0.002966115,0.0002950474,0.0006134108,0.009894728],"category_scores_gemma":[0.01350516,0.0001740999,0.000248334,0.0005090568,0.001673527,0.001395616,0.001024255,0.0007884413,0.001759212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005395889,"about_ca_system_score_gemma":0.0005203065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001632658,"about_ca_topic_score_gemma":0.004415275,"domain_scores_codex":[0.9983916,0.0007951213,0.00005894404,0.0001315586,0.0003209661,0.0003017824],"domain_scores_gemma":[0.9939705,0.001414419,0.002169222,0.000322564,0.0008051894,0.001318119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001027255,0.0005270287,0.6854574,0.000422055,0.0002623787,0.0006361224,0.009021404,0.001873541,0.003852979,0.04302074,0.01644219,0.2374569],"study_design_scores_gemma":[0.00006669419,0.00108882,0.8933212,0.0001900981,0.0001512116,0.0006175518,0.02269395,0.002675873,0.001795537,0.0312362,0.04604505,0.0001179008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.919699,0.0009989497,0.002385748,0.005978765,0.0002270715,0.00003895208,0.0001135367,0.00002711607,0.07053085],"genre_scores_gemma":[0.9964461,0.0001513201,0.0004444265,0.0002149158,0.00004983168,0.000007069738,0.00002447575,0.00001233643,0.002649534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009894728,"threshold_uncertainty_score":0.03310114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02057049602188754,"score_gpt":0.3397703166170865,"score_spread":0.319199820595199,"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."}}