{"id":"W2115140807","doi":"10.1148/radiol.12120863","title":"Multiple Sclerosis: Validation of MR Imaging for Quantification and Detection of Iron","year":2013,"lang":"en","type":"article","venue":"Radiology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Magnetic resonance imaging; White matter; Nuclear medicine; Multiple sclerosis; Pathology; Radiology","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":[0.003408251,0.0005424928,0.0002004725,0.0005155816,0.0001920868,0.0003566113,0.0003540313,0.0004281725,0.0004003209],"category_scores_gemma":[0.006024658,0.0001402852,0.0001113694,0.0001780627,0.0004578197,0.0002166211,0.000260695,0.0002385638,0.0003557381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001210159,"about_ca_system_score_gemma":0.0002044096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005132374,"about_ca_topic_score_gemma":0.0005922619,"domain_scores_codex":[0.9990403,0.0004666123,0.00006009073,0.0001944798,0.0002116699,0.00002678862],"domain_scores_gemma":[0.9973145,0.0008857904,0.0005532868,0.0004699203,0.0006745158,0.0001019939],"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":[0.001465389,0.0002604733,0.2076021,0.000257367,0.0001563564,0.0002398513,0.000350666,0.0007273635,0.7374295,0.0001440134,0.0001924618,0.05117445],"study_design_scores_gemma":[0.0001493722,0.004143175,0.7375441,0.0001051829,0.0002203187,0.006030719,0.000174276,0.01054508,0.2380798,0.0002837898,0.002691703,0.00003251223],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882671,0.001173588,0.009564226,0.00004074704,0.00001534372,0.00003382445,0.00006430775,0.00008599077,0.0007548517],"genre_scores_gemma":[0.9926292,0.0001791944,0.00681532,0.000021852,0.00001173113,0.00001976081,0.0001239696,0.00001650716,0.0001824325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003408251,"threshold_uncertainty_score":0.0180248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07298323721078752,"score_gpt":0.3109561633279556,"score_spread":0.2379729261171681,"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."}}