{"id":"W3208460355","doi":"10.1038/35090636","title":"Correction: Early visual experience and face processing","year":2001,"lang":"en","type":"article","venue":"Nature","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; McMaster University","funders":"","keywords":"Face (sociological concept); Computer science; Information retrieval; Data science; Linguistics; Philosophy","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":[0.003012057,0.002719891,0.00286323,0.004373433,0.00378182,0.003186493,0.005360769,0.01105965,0.07721952],"category_scores_gemma":[0.06398215,0.00120423,0.001517049,0.002941017,0.003106961,0.003065491,0.002367976,0.00959345,0.0400812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003226073,"about_ca_system_score_gemma":0.003167541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034822,"about_ca_topic_score_gemma":0.009919813,"domain_scores_codex":[0.9963258,0.0004889849,0.0008184105,0.0006655439,0.001199931,0.0005013061],"domain_scores_gemma":[0.9660347,0.007123011,0.002613854,0.004062788,0.01833173,0.001833853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001465476,0.00001096329,0.0002332271,0.0004348907,0.00003833498,0.001472586,0.00006084178,0.00007058289,0.0001814073,0.001218316,0.9830214,0.0131109],"study_design_scores_gemma":[0.0001461457,0.00004730942,0.002418839,0.0004381507,0.00009669547,0.004211392,0.000201772,0.0006981062,0.001213584,0.002710758,0.987743,0.00007420243],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.0004565464,0.0013497,0.001050141,0.04619457,0.9469544,0.00003426839,0.0008924112,0.0006840651,0.002383911],"genre_scores_gemma":[0.05927142,0.009670303,0.009387983,0.09470914,0.5421426,0.0005221519,0.002760878,0.002342928,0.2791926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07721952,"threshold_uncertainty_score":0.258325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02644810864785037,"score_gpt":0.3333114406082426,"score_spread":0.3068633319603923,"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."}}