{"id":"W1740802184","doi":"10.1002/jmri.24608","title":"Manganese‐enhanced MRI of minimally gadolinium‐enhancing breast tumors","year":2014,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Garron Family Cancer Centre; Natural Sciences and Engineering Research Council of Canada; Hospital for Sick Children","keywords":"Vascularity; Gadolinium; Histology; Medicine; Magnetic resonance imaging; Nuclear medicine; Necrosis; Pathology; Radiology; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002135426,0.0002689276,0.0001059272,0.0001937288,0.00006336078,0.0001644742,0.0001665432,0.0001853521,0.0005678177],"category_scores_gemma":[0.0001790116,0.00009621575,0.00006239887,0.00006104284,0.0001444962,0.0001647352,0.0000819609,0.0001495806,0.0001759156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001714814,"about_ca_system_score_gemma":0.0001867031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007367645,"about_ca_topic_score_gemma":0.0009387477,"domain_scores_codex":[0.9999526,0.00001299603,0.000002516348,0.000008918098,0.00001128167,0.00001173443],"domain_scores_gemma":[0.9999475,0.00001405979,0.00001370757,0.000004937742,0.000007967255,0.00001170244],"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":[0.00022957,0.00002602784,0.001427617,0.00004957682,0.00000427864,0.00008703808,0.000008034824,0.00006428775,0.9948466,0.00002747887,0.00002643721,0.003203114],"study_design_scores_gemma":[0.0001071294,0.00185401,0.03858609,0.00001978611,0.00006119689,0.003560628,0.00005573688,0.002005348,0.9507532,0.00006651443,0.002919403,0.00001101887],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919762,0.002011699,0.004703216,0.00005787635,0.000007309208,0.00003286951,0.00005473992,0.0000822537,0.001073881],"genre_scores_gemma":[0.9917031,0.0009286192,0.006298215,0.00003492997,0.00001008417,0.00001632299,0.0001188996,0.000009816697,0.0008800412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007367645,"threshold_uncertainty_score":0.00189954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006888752369320707,"score_gpt":0.2585903948005437,"score_spread":0.251701642431223,"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."}}