{"id":"W2047484309","doi":"10.1167/5.8.984","title":"Sensitivity to the geometric variability of faces in infants","year":2005,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Sensitivity (control systems); Geology; Engineering","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":[0.0004042184,0.0003546013,0.0003815195,0.0003843681,0.0001154467,0.000393602,0.0002038108,0.0003072172,0.001071376],"category_scores_gemma":[0.002368249,0.0002682871,0.000269583,0.00008013797,0.0002862498,0.0002232092,0.0005205817,0.0005377498,0.0001497316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001920782,"about_ca_system_score_gemma":0.0001100956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006714112,"about_ca_topic_score_gemma":0.0005343861,"domain_scores_codex":[0.9996324,0.00006120672,0.00003037208,0.00008599569,0.0001427805,0.00004724901],"domain_scores_gemma":[0.9987307,0.0003700748,0.0004537278,0.0001085223,0.0001956917,0.0001412528],"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":[0.0006030562,0.0000456526,0.07509142,0.0001514816,0.00004521059,0.0008393833,0.0003398191,0.0004113296,0.9036933,0.0001354763,0.0001394518,0.01850436],"study_design_scores_gemma":[0.000009751094,0.001090334,0.8547719,0.00003356547,0.00006191192,0.004085634,0.0002727293,0.001391261,0.137367,0.0002636402,0.0006226284,0.00002966117],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998061,0.0002649684,0.001010417,0.00001741153,0.000008123564,0.000009898929,0.00008160008,0.0000297978,0.0005167918],"genre_scores_gemma":[0.998002,0.0002401454,0.001305479,0.00003489821,0.000007517018,0.00002000203,0.0001543282,0.00001445857,0.000221191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001071376,"threshold_uncertainty_score":0.003584087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01226636490095923,"score_gpt":0.284232464610057,"score_spread":0.2719660997090978,"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."}}