{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004922631,0.0002749153,0.0002719642,0.0001441312,0.0001400862,0.0003950939,0.0002435633,0.0003964868,0.00207181],"category_scores_gemma":[0.003207295,0.0001735003,0.000179858,0.00005656667,0.0007673271,0.0008605586,0.0007202622,0.0004253695,0.0001840504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001906042,"about_ca_system_score_gemma":0.0001313971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000290385,"about_ca_topic_score_gemma":0.0005283059,"domain_scores_codex":[0.9994655,0.00006925061,0.00004571227,0.0001565177,0.0002026916,0.00006028579],"domain_scores_gemma":[0.9990558,0.0002901918,0.0002238208,0.0002308176,0.00007315941,0.0001262271],"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":[0.0007220785,0.00005595305,0.004871616,0.0000386703,0.00001356731,0.0001509409,0.0001634825,0.0001319833,0.9850655,0.0001179175,0.00003394349,0.00863434],"study_design_scores_gemma":[0.00007672591,0.002866028,0.4498619,0.00002566765,0.00004892298,0.003059851,0.0006205935,0.005043678,0.5356312,0.002009257,0.0006954886,0.00006062357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997422,0.00004337462,0.001584453,0.00002741435,0.00001138068,0.00001250794,0.00001645157,0.000008148358,0.000874288],"genre_scores_gemma":[0.9984113,0.00002679763,0.001132779,0.00003938087,0.000005034659,0.00001031193,0.00004582031,0.000009568859,0.0003189445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00207181,"threshold_uncertainty_score":0.006930828,"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."}}