{"id":"W2913527534","doi":"10.1037/xge0000542","title":"Inducing the use of right eye enhances face-sex categorization performance.","year":2019,"lang":"en","type":"article","venue":"Journal of Experimental Psychology General","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Categorization; Eyebrow; Psychology; Facial recognition system; Task (project management); Neurotypical; Cognitive psychology; Communication; Developmental psychology; Artificial intelligence; Computer science; Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001801917,0.00009744591,0.0001601875,0.0001069932,0.00008910131,0.0000266439,0.0001788731,0.00007430393,0.001119887],"category_scores_gemma":[0.00002298071,0.00006365142,0.00008148326,0.000131921,0.0001077427,0.0004489581,0.00002120859,0.0002309305,0.00008606798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000029229,"about_ca_system_score_gemma":0.00002000948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003984657,"about_ca_topic_score_gemma":4.501482e-7,"domain_scores_codex":[0.9989372,0.0001967906,0.0003655743,0.0001482615,0.0002124924,0.0001396775],"domain_scores_gemma":[0.9993898,0.00004636397,0.0003434316,0.0001378621,0.00004143234,0.00004112061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008672477,0.0001113576,0.002183194,0.00000267588,0.000006080848,0.0000015092,0.00106254,0.0002649568,0.9942873,0.00004247799,0.0007263336,0.001224922],"study_design_scores_gemma":[0.0006132618,0.0004753463,0.006871394,0.00001504975,0.000005083716,0.00009833978,0.0002678054,0.0007057592,0.9874399,0.00001856693,0.003412176,0.00007737136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964163,0.00006843344,0.0002010348,0.0002577829,0.00158738,0.0001191272,0.000002667922,0.000006124045,0.00134119],"genre_scores_gemma":[0.9973913,0.0001880007,0.0002569997,0.001120666,0.0001732473,0.00000238518,0.000001944901,0.000009100561,0.0008563366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006847381,"threshold_uncertainty_score":0.9997932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09907068610361533,"score_gpt":0.3644245048935938,"score_spread":0.2653538187899785,"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."}}