{"id":"W2165643488","doi":"10.3758/bf03194708","title":"Face recognition by hand","year":2002,"lang":"en","type":"article","venue":"Perception & Psychophysics","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Haptic technology; Identification (biology); Face (sociological concept); Cognitive psychology; Psychology; Matching (statistics); Facial recognition system; Object (grammar); Artificial intelligence; Computer science; Communication; Computer vision; Pattern recognition (psychology); Mathematics","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":[0.0002043693,0.0003204122,0.0005316987,0.0003335569,0.0003079327,0.0009972826,0.0002909828,0.0005670346,0.01880084],"category_scores_gemma":[0.0008537853,0.0002440245,0.0003556901,0.0002436797,0.0002511063,0.001133627,0.0005084394,0.0003810583,0.006906386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004033489,"about_ca_system_score_gemma":0.0004024327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003850046,"about_ca_topic_score_gemma":0.00314544,"domain_scores_codex":[0.9997638,0.00001804896,0.000007910451,0.00009535744,0.00005900642,0.00005595915],"domain_scores_gemma":[0.999755,0.00006794446,0.00001562301,0.0001007986,0.00003518571,0.00002548685],"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":[0.0007244168,0.00004267263,0.001253689,0.00008271075,0.00002096941,0.0001051702,0.0000497567,0.00069532,0.7536908,0.001546742,0.003272008,0.2385157],"study_design_scores_gemma":[0.00007407925,0.0003818475,0.05424258,0.00005100437,0.00008992333,0.002686444,0.0001336668,0.04824768,0.8676335,0.007289649,0.01910453,0.00006516562],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.690681,0.00325351,0.1654455,0.000590129,0.0009805323,0.0002012876,0.001786873,0.004777106,0.1322841],"genre_scores_gemma":[0.906734,0.0009952157,0.03896032,0.0003527853,0.000082705,0.00005165325,0.0009020148,0.000284604,0.05163663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01880084,"threshold_uncertainty_score":0.062895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08311777381548598,"score_gpt":0.2845011605124704,"score_spread":0.2013833866969844,"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."}}