{"id":"W1977189458","doi":"10.1167/6.6.440","title":"Infants' sensitivity to variability in face configuration","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Anticipation (artificial intelligence); Psychology; Face (sociological concept); Variation (astronomy); Audiology; Cognitive psychology; Developmental psychology; Artificial intelligence; Computer science; Medicine; Physics","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":[0.000497204,0.0003315178,0.0003675787,0.0002911904,0.0001016291,0.000560006,0.0002315475,0.0003448486,0.001271085],"category_scores_gemma":[0.003330522,0.000253687,0.0002397342,0.00006811072,0.0002568945,0.0002785975,0.0005310752,0.0006423906,0.0001857556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001919575,"about_ca_system_score_gemma":0.0001520984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007272107,"about_ca_topic_score_gemma":0.0005392146,"domain_scores_codex":[0.9996196,0.00005870522,0.00002866909,0.00009434603,0.0001468023,0.00005177072],"domain_scores_gemma":[0.998353,0.0006289987,0.0004774558,0.0001690183,0.0001951763,0.0001763267],"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":[0.0006168157,0.000052965,0.06908964,0.0002099124,0.00004596618,0.000892163,0.0004850331,0.0005127137,0.894428,0.0002940951,0.0002342486,0.03313836],"study_design_scores_gemma":[0.00001473862,0.001036305,0.8194606,0.00006734349,0.00007827426,0.004359942,0.0003733487,0.002626948,0.1701684,0.0006035207,0.001165298,0.0000451319],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965991,0.0003989238,0.001780778,0.00002811463,0.00001154589,0.00001021418,0.00009293488,0.00005435551,0.001024046],"genre_scores_gemma":[0.9975308,0.0002724369,0.001640311,0.00004275882,0.000007398478,0.00001731158,0.0001220018,0.00001989927,0.0003471552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001271085,"threshold_uncertainty_score":0.004252255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02428430436474105,"score_gpt":0.3288807967691759,"score_spread":0.3045964924044349,"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."}}