{"id":"W1995782691","doi":"10.1167/12.9.507","title":"Holistic perception of interocular distance in synthetic faces.","year":2012,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Perception; Face (sociological concept); Psychology; Face perception; Artificial intelligence; Cognitive psychology; Computer vision; Computer science; Communication; Neuroscience; Linguistics","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":[0.0002081257,0.000154684,0.0001924681,0.0001329795,0.00005762477,0.0002280477,0.000101436,0.0002265912,0.001899963],"category_scores_gemma":[0.001164012,0.00007502702,0.0001652399,0.00006283147,0.0001590107,0.0003018496,0.0002998081,0.0002096963,0.00009733996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001297225,"about_ca_system_score_gemma":0.00005783954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002479831,"about_ca_topic_score_gemma":0.0002022596,"domain_scores_codex":[0.9998457,0.00003159564,0.00000762993,0.00003587432,0.00006152378,0.00001758728],"domain_scores_gemma":[0.9996303,0.0001710809,0.00005800813,0.00004696651,0.00005364476,0.00003989404],"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":[0.000508601,0.00002638842,0.001319755,0.00008016481,0.00001437446,0.00005675663,0.00008237929,0.0005495162,0.9901991,0.0002613932,0.00004817999,0.006853271],"study_design_scores_gemma":[0.0001008375,0.00448692,0.3880233,0.0000570904,0.0001182723,0.003098547,0.0006385104,0.03193353,0.5662355,0.002677316,0.002564398,0.00006573346],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931056,0.0001582728,0.005433788,0.00002442335,0.0000180344,0.00001135906,0.00007922152,0.00001387793,0.001155402],"genre_scores_gemma":[0.997179,0.00005384683,0.002266204,0.00002111045,0.000003790764,0.000008732418,0.00008558942,0.000005581716,0.0003761614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001899963,"threshold_uncertainty_score":0.006356001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05507115997470943,"score_gpt":0.3460452016818056,"score_spread":0.2909740417070962,"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."}}