{"id":"W2007044580","doi":"10.1002/mrm.25160","title":"Magnetic Resonance in Medicine at 30","year":2014,"lang":"en","type":"editorial","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre","funders":"Cardiff University; Leonard M. Miller School of Medicine; Wellcome Trust; University of Pennsylvania; University of Miami","keywords":"Excellence; Publishing; Banner; Library science; Medicine; Political science; Computer science; History; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002559912,0.002274192,0.001665903,0.002944383,0.002350336,0.01396143,0.001948622,0.004979729,0.6389832],"category_scores_gemma":[0.009514403,0.0006815221,0.001464616,0.001783005,0.002220043,0.005944844,0.006594668,0.006514609,0.5886306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002645898,"about_ca_system_score_gemma":0.004426423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009093211,"about_ca_topic_score_gemma":0.001775247,"domain_scores_codex":[0.9964442,0.0004918679,0.0002070929,0.0007936491,0.001649137,0.0004142259],"domain_scores_gemma":[0.9939981,0.0007310907,0.0004282671,0.0007087265,0.001630884,0.002503109],"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":[0.00002297163,0.00002467768,0.0001741398,0.0002083487,0.00000720867,0.00008375999,0.00004851791,0.00001701126,0.0003009113,0.004904299,0.9376132,0.05659501],"study_design_scores_gemma":[0.000005165435,0.00001320182,0.0002331504,0.0001680519,0.000002362193,0.0001451251,0.0000223287,0.00001507686,0.00005774934,0.001442212,0.9978898,0.000005710178],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.0006105996,0.03339786,0.001800009,0.04010472,0.08671423,0.0002062613,0.002298851,0.003518134,0.8313494],"genre_scores_gemma":[0.004804817,0.01565569,0.001744313,0.02356517,0.03923089,0.0002164612,0.001465544,0.0008126371,0.9125045],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.6389832,"threshold_uncertainty_score":0.5149466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145838366867632,"score_gpt":0.3250458060755813,"score_spread":0.3104619693888181,"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."}}