{"id":"W2111995017","doi":"10.1016/j.evolhumbehav.2011.07.002","title":"Detection of propensity for aggression based on facial structure irrespective of face race","year":2011,"lang":"en","type":"article","venue":"Evolution and Human Behavior","topic":"Evolutionary Psychology and Human Behavior","field":"Psychology","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Brock University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Aggression; Psychology; Trait; Race (biology); Developmental psychology; Face (sociological concept); Social psychology; Biology; Computer science","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":[0.0001683127,0.0001791665,0.0002847909,0.0002427087,0.000286063,0.000003675468,0.0001225339,0.000270383,0.001144213],"category_scores_gemma":[0.00001528366,0.0001677999,0.0001078849,0.00009262795,0.0003637136,0.00007993333,0.00002201064,0.0002136513,0.000008493106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006049867,"about_ca_system_score_gemma":0.00002270709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001109676,"about_ca_topic_score_gemma":0.0001528244,"domain_scores_codex":[0.9987818,0.000131888,0.000342578,0.0003918664,0.0001499543,0.0002019273],"domain_scores_gemma":[0.9990911,0.00003115814,0.0003317382,0.0003126055,0.0001700395,0.00006335599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007279352,0.005191816,0.5607277,0.0001115236,0.00008511102,0.00001614777,0.01085912,0.000009780958,0.3558487,0.04333251,0.001123553,0.01541479],"study_design_scores_gemma":[0.001891816,0.001486111,0.9861557,0.00005307323,0.0001400747,0.000008420257,0.0003031828,0.00001100957,0.008892352,0.0007826818,0.0001075583,0.0001679728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955286,0.0001184773,0.001849409,0.00001018662,0.000571748,0.000919254,0.0001725994,0.00004512836,0.0007846042],"genre_scores_gemma":[0.998884,9.321332e-7,0.000218257,0.00001679272,0.00006070825,0.0001142954,0.00002732151,0.00001890306,0.0006588551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4254281,"threshold_uncertainty_score":0.9997689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0628088967138263,"score_gpt":0.337992644888382,"score_spread":0.2751837481745557,"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."}}