{"id":"W4408808983","doi":"10.1016/j.jcjo.2025.02.019","title":"Magnetic resonance imaging in preseptal ferromagnetic foreign bodies","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Ophthalmology","topic":"Traumatic Ocular and Foreign Body Injuries","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Magnetic resonance imaging; Foreign Bodies; Nuclear magnetic resonance; Physics; Medicine; Radiology; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005671048,0.000647579,0.0006579025,0.003750768,0.0004802995,0.000796709,0.000803118,0.001433078,0.001292355],"category_scores_gemma":[0.006511012,0.0002260679,0.000421834,0.00285531,0.0009997308,0.001042325,0.00034144,0.0006591945,0.0005515442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009317877,"about_ca_system_score_gemma":0.001541342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004915919,"about_ca_topic_score_gemma":0.005134447,"domain_scores_codex":[0.9992792,0.00009502923,0.0001996957,0.00006971609,0.0002704708,0.00008592982],"domain_scores_gemma":[0.9954643,0.001585802,0.002177259,0.0000668063,0.0005637747,0.0001420862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003723531,0.000143093,0.2384032,0.01911646,0.0004689373,0.3348799,0.001446274,0.0007967004,0.004833452,0.001083955,0.01936356,0.379092],"study_design_scores_gemma":[0.00003393085,0.0002375781,0.09094885,0.007901179,0.0004410626,0.8544684,0.00152478,0.0003133101,0.001799251,0.0006900702,0.04159464,0.00004694529],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.08960311,0.8990146,0.001255349,0.002565108,0.0005398188,0.00003581951,0.0001147447,0.00006483774,0.006806625],"genre_scores_gemma":[0.4970501,0.4931543,0.00156704,0.002670561,0.004050996,0.00002825467,0.0002206986,0.0000301385,0.001227881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004915919,"threshold_uncertainty_score":0.009774625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452201938956131,"score_gpt":0.2767289434282502,"score_spread":0.2622069240386889,"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."}}