{"id":"W2149992006","doi":"10.1111/j.1467-9221.2012.00897.x","title":"Thin‐Slice Decisions Do Not Need Faces to be Predictive of Election Outcomes","year":2012,"lang":"en","type":"article","venue":"Political Psychology","topic":"Evolutionary Psychology and Human Behavior","field":"Psychology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"California Institute of Technology","keywords":"Psychology; Schema (genetic algorithms); Heuristics; Social psychology; Competence (human resources); Cognitive psychology; Cognition; Association (psychology); Cognitive bias; Computer science; Machine learning","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":[0.001130593,0.0002719476,0.0002732396,0.0002846995,0.000355198,0.001235547,0.0002059992,0.0004526527,0.006910642],"category_scores_gemma":[0.01644309,0.0002837483,0.000374719,0.0001930508,0.0005407636,0.00124863,0.0005316475,0.00067562,0.0004518726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002045625,"about_ca_system_score_gemma":0.0002539096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001307291,"about_ca_topic_score_gemma":0.002117048,"domain_scores_codex":[0.9994634,0.0001343992,0.00003337664,0.0001588546,0.0001449475,0.00006507005],"domain_scores_gemma":[0.9899587,0.004661335,0.003089787,0.001324273,0.0005302457,0.0004356507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003816081,0.0005914604,0.7905858,0.0002620267,0.0003846618,0.0004346425,0.002181282,0.002702483,0.1050277,0.007945963,0.001467752,0.08460017],"study_design_scores_gemma":[0.0000405008,0.0003494324,0.9808964,0.00002873811,0.00006778341,0.0003354797,0.0005394671,0.003591798,0.007261152,0.006001387,0.0008472187,0.00004072871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897135,0.00005567902,0.002663267,0.00009967978,0.00001647797,0.00002439775,0.0001597182,0.00002245326,0.007244721],"genre_scores_gemma":[0.9978539,0.00002658279,0.001438411,0.00004157381,0.00001210439,0.00001892053,0.0002179617,0.000009386881,0.0003810429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006910642,"threshold_uncertainty_score":0.02311844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042332362725408,"score_gpt":0.4478227500615858,"score_spread":0.343589513789045,"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."}}