{"id":"W2888420769","doi":"10.1155/2018/2165693","title":"Corrigendum to “Erbium-Based Perfusion Contrast Agent for Small-Animal Microvessel Imaging”","year":2018,"lang":"en","type":"erratum","venue":"Contrast Media & Molecular Imaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Microvessel; Contrast (vision); Perfusion; Perfusion scanning; Medicine; Pathology; Biomedical engineering; Computer science; Radiology; Artificial intelligence; Immunohistochemistry","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":[0.003615481,0.002661313,0.003301592,0.004286746,0.003796158,0.003709418,0.004766673,0.01009796,0.05981239],"category_scores_gemma":[0.02619315,0.002007111,0.003666179,0.00227623,0.002745035,0.003186263,0.00243332,0.0130843,0.03952688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005394401,"about_ca_system_score_gemma":0.004382846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01603936,"about_ca_topic_score_gemma":0.0300125,"domain_scores_codex":[0.99595,0.0005514972,0.0007125753,0.0005689422,0.001820053,0.0003968563],"domain_scores_gemma":[0.9854541,0.003951023,0.000802504,0.0005610641,0.008196574,0.001034775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001988263,0.000008639484,0.00002675365,0.0001193854,0.00001318715,0.0002587279,0.00001068128,0.00003233064,0.00009816571,0.0003979478,0.993277,0.005737341],"study_design_scores_gemma":[0.00002355838,0.0000274266,0.0004203973,0.0002044054,0.00004808242,0.0006957607,0.00003018964,0.0002160494,0.0005237767,0.0007546659,0.9970145,0.00004110489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0000450861,0.002604347,0.0005661122,0.02512275,0.9695796,0.00001796452,0.0001646346,0.0001710633,0.00172836],"genre_scores_gemma":[0.00415116,0.02251377,0.003859921,0.1528773,0.6018166,0.0001859848,0.001672057,0.001091803,0.2118314],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05981239,"threshold_uncertainty_score":0.2000924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0177959163708576,"score_gpt":0.29515951152933,"score_spread":0.2773635951584724,"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."}}