{"id":"W2973319110","doi":"10.1167/19.10.216a","title":"Link between initial fixation location and spatial frequency utilization in face recognition","year":2019,"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":"Université du Québec en Outaouais","funders":"","keywords":"Artificial intelligence; Fixation (population genetics); Computer science; Facial recognition system; Eye movement; Visual processing; Face (sociological concept); Pattern recognition (psychology); Computer vision; Perception; Psychology; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003980612,0.0002145628,0.0002237557,0.0007241712,0.0002689543,0.0004657166,0.0001972223,0.0002965596,0.002954686],"category_scores_gemma":[0.003298716,0.0001384043,0.000150198,0.0004529164,0.0002837603,0.0003141779,0.0003524534,0.0001975236,0.0002676588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004046219,"about_ca_system_score_gemma":0.0003252234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03251888,"about_ca_topic_score_gemma":0.04665,"domain_scores_codex":[0.9997535,0.00002259006,0.00001262111,0.0001062453,0.00006278489,0.00004219618],"domain_scores_gemma":[0.9988938,0.0003518234,0.0003002948,0.00009248446,0.0002623249,0.00009932871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00201051,0.0001500544,0.7047397,0.0002451593,0.0001793682,0.0004135377,0.006379108,0.0007266857,0.175436,0.0006207711,0.0005761341,0.108523],"study_design_scores_gemma":[0.000002365547,0.00003414036,0.9981955,0.000004203356,0.0000104218,0.00008130391,0.0001959322,0.0002837558,0.0009601464,0.00008520236,0.00014007,0.000007056073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971432,0.0002520301,0.0009866724,0.0000172094,0.000004421389,0.00001018504,0.0001187575,0.00001083704,0.001456676],"genre_scores_gemma":[0.9985598,0.00008916405,0.0007226381,0.000008896287,0.000004195125,0.000007772604,0.0001033207,0.000007243358,0.0004969315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03251888,"threshold_uncertainty_score":0.06465924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09193031135232267,"score_gpt":0.3557230189587536,"score_spread":0.263792707606431,"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."}}