{"id":"W2081422345","doi":"10.1068/p7436","title":"Looking at a Blurry Old Family Photo? Zoom Out!","year":2014,"lang":"en","type":"article","venue":"Perception","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Face (sociological concept); Identity (music); Facial recognition system; Perception; Adaptation (eye); Zoom; Psychology; Artificial intelligence; Computer science; Computer vision; Communication; Pattern recognition (psychology); Art; Neuroscience; Aesthetics; Physics; Optics","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":[0.0002127037,0.0002533901,0.0002180688,0.0001794007,0.0002107799,0.0002016899,0.0001805265,0.0004603721,0.009845537],"category_scores_gemma":[0.0008988403,0.0001403124,0.0002009942,0.00007743222,0.0002596192,0.0003937001,0.0003970344,0.0005840868,0.0007131202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001522993,"about_ca_system_score_gemma":0.000117232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00137559,"about_ca_topic_score_gemma":0.002484581,"domain_scores_codex":[0.9999244,0.00001219711,0.000003398408,0.00002287661,0.00002021509,0.00001674905],"domain_scores_gemma":[0.9997072,0.0001218611,0.00003534006,0.0000384255,0.00003445622,0.00006264389],"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":[0.001703768,0.0003332051,0.01027358,0.0002540707,0.00003683972,0.002335461,0.001337536,0.0001785893,0.9359863,0.0005807756,0.002318331,0.04466149],"study_design_scores_gemma":[0.0002047117,0.00988078,0.6033087,0.0001588685,0.0002019148,0.01376627,0.003615689,0.007280356,0.3332133,0.002674553,0.0255145,0.0001803342],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901819,0.0003726545,0.003815811,0.0006438778,0.0001005598,0.00007947324,0.0002198461,0.0001302122,0.004455754],"genre_scores_gemma":[0.9821627,0.0003675644,0.01077223,0.0007504924,0.00003508784,0.00004276689,0.0001628471,0.00003892365,0.00566737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009845537,"threshold_uncertainty_score":0.03293657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05073120595295089,"score_gpt":0.2851467350159062,"score_spread":0.2344155290629553,"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."}}