{"id":"W4404055034","doi":"10.1016/j.media.2024.103389","title":"Editorial for Special Issue on Foundation Models for Medical Image Analysis","year":2024,"lang":"en","type":"editorial","venue":"Medical Image Analysis","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Foundation (evidence); Computer science; Image (mathematics); Artificial intelligence; Data science; Geography","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":[0.01006087,0.005053643,0.005120696,0.005941162,0.003323197,0.00957938,0.003644821,0.01804618,0.02562674],"category_scores_gemma":[0.03555325,0.001889203,0.004707038,0.001716745,0.002734691,0.004426282,0.002126813,0.02042158,0.01517756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003440381,"about_ca_system_score_gemma":0.00322086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00250442,"about_ca_topic_score_gemma":0.006950993,"domain_scores_codex":[0.9944677,0.001230661,0.000616777,0.0006533752,0.002762122,0.0002692874],"domain_scores_gemma":[0.9669771,0.01486912,0.001835519,0.001219953,0.01208232,0.00301614],"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":[0.00002348498,0.000006776767,0.00001445509,0.00008280994,0.00002345346,0.0000459017,0.000002761121,0.00003620411,0.00002037925,0.0002220399,0.9970989,0.002422818],"study_design_scores_gemma":[0.0002047225,0.00003909818,0.0002971321,0.0005600131,0.0001737027,0.0002837656,0.00002587048,0.001246177,0.0001278444,0.005239649,0.9917624,0.00003971381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0000208922,0.003386224,0.0003513823,0.03003538,0.9650096,0.00001695434,0.00007863635,0.00008639933,0.001014534],"genre_scores_gemma":[0.0002572039,0.001790934,0.0001918356,0.01127725,0.9810722,0.00002232929,0.00004234228,0.00005963887,0.005286227],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02562674,"threshold_uncertainty_score":0.08573002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007094573754065327,"score_gpt":0.3445343639055896,"score_spread":0.3374397901515243,"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."}}