{"id":"W1440081718","doi":"10.1167/15.12.694","title":"Effects of size, fixation location, and inversion on face identification","year":2015,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Face recognition and analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Fixation (population genetics); Stimulus (psychology); Psychology; Artificial intelligence; Audiology; Computer vision; Cognitive psychology; Communication; Computer science; Pattern recognition (psychology); Biology; Medicine","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":[0.0008008109,0.0007821096,0.0006135415,0.0004582024,0.0001522736,0.0004397761,0.0004100863,0.0004734193,0.004275526],"category_scores_gemma":[0.005997651,0.0003452474,0.0002976921,0.0002070949,0.0005057541,0.0005405273,0.0006511627,0.0007606093,0.0003728966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003200489,"about_ca_system_score_gemma":0.00026189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001377003,"about_ca_topic_score_gemma":0.00169036,"domain_scores_codex":[0.9992519,0.000134218,0.00009254638,0.0002333166,0.0001932371,0.00009473979],"domain_scores_gemma":[0.9929062,0.00500531,0.0009154658,0.0004676881,0.0003017913,0.0004035746],"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":[0.003159934,0.0001978261,0.008441999,0.00009726856,0.00004247323,0.0001215094,0.0001626122,0.0001445482,0.981396,0.00006162186,0.00006883508,0.006105454],"study_design_scores_gemma":[0.0001418128,0.003207259,0.7704539,0.00002909849,0.0001612442,0.0005821675,0.0001702133,0.003666945,0.2202331,0.0005432124,0.0007466578,0.0000643899],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957623,0.0002721311,0.001812416,0.00006267113,0.00004251815,0.00005703868,0.0002482851,0.00006660209,0.001676119],"genre_scores_gemma":[0.9950799,0.0001027196,0.002720926,0.0001172238,0.00001515159,0.0001153971,0.0002908358,0.0001483629,0.001409419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004275526,"threshold_uncertainty_score":0.01430309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267361653724408,"score_gpt":0.2702406352849749,"score_spread":0.2575670187477309,"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."}}