{"id":"W2971223041","doi":"10.1177/0301006619872059","title":"Recognition of Deformed Familiar Faces: Contrast Negation and Nonglobal Stretching","year":2019,"lang":"en","type":"article","venue":"Perception","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph-Humber","funders":"","keywords":"Categorization; Contrast (vision); Negation; Psychology; Perception; Cognitive psychology; Face (sociological concept); High contrast; Facial recognition system; Face perception; Communication; Artificial intelligence; Pattern recognition (psychology); Computer science; Linguistics; Optics; Physics; Neuroscience","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":[],"consensus_categories":[],"category_scores_codex":[0.0001595162,0.0001188067,0.0001474871,0.0001027805,0.00007647857,0.00003821699,0.00005410171,0.0001009574,0.0009046184],"category_scores_gemma":[0.0001064894,0.0001135049,0.00004928347,0.0001467517,0.00006683572,0.00053442,0.00001867914,0.0001112361,0.000679142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005916271,"about_ca_system_score_gemma":0.00001575019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007792822,"about_ca_topic_score_gemma":0.0000381993,"domain_scores_codex":[0.9989673,0.0001124253,0.0002394024,0.0002941038,0.0002257595,0.0001610278],"domain_scores_gemma":[0.9995911,0.00007249933,0.0001128184,0.0001041398,0.00006167826,0.00005783042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004741914,0.00003910289,0.003300128,0.00005339802,0.000001648737,2.223819e-7,0.001097517,0.00001800775,0.8574023,0.00003697656,0.00002590716,0.1379773],"study_design_scores_gemma":[0.005453146,0.001039027,0.7303619,0.0005678069,0.00009458671,0.0001321512,0.01488927,0.04962394,0.1912071,0.004666514,0.0008693017,0.001095215],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929848,0.000003785047,0.0004575728,0.00008065967,0.0002385284,0.0003841071,0.00006335429,0.00007151957,0.005715633],"genre_scores_gemma":[0.9989487,0.0003066943,0.0002740907,0.0002182813,0.00004569209,0.00001064062,0.00007251315,0.00001114516,0.0001122502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7270618,"threshold_uncertainty_score":0.9904937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03311029964839592,"score_gpt":0.2628637864498386,"score_spread":0.2297534868014427,"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."}}