{"id":"W2528414325","doi":"10.1002/nbm.3619","title":"Structural and functional quantitative susceptibility mapping from standard fMRI studies","year":2016,"lang":"en","type":"article","venue":"NMR in Biomedicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quantitative susceptibility mapping; Computational biology; Computer science; Neuroscience; Psychology; Biology; Medicine; Magnetic resonance imaging; 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":[0.002605733,0.0008066542,0.0005084184,0.003988985,0.0002338824,0.0008453577,0.0009026977,0.0006149424,0.003704742],"category_scores_gemma":[0.008478426,0.0003392504,0.0006624464,0.002052373,0.0005767657,0.0009576724,0.0006510885,0.0006794594,0.0007825546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000329752,"about_ca_system_score_gemma":0.0003856864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008850271,"about_ca_topic_score_gemma":0.001291123,"domain_scores_codex":[0.9990801,0.0002117532,0.00009235908,0.0002274254,0.0003525117,0.00003587172],"domain_scores_gemma":[0.997736,0.0009044046,0.0003213686,0.0005075439,0.0004811201,0.00004957399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009588821,0.0002712279,0.02346722,0.002459113,0.001006638,0.001044634,0.0007585685,0.03580071,0.4564304,0.01464417,0.01038253,0.4527759],"study_design_scores_gemma":[0.000289332,0.001500347,0.303116,0.0004363344,0.00111621,0.008936889,0.0005785329,0.3117921,0.226168,0.09664234,0.0488174,0.0006065847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2025264,0.002694867,0.7773445,0.0001895782,0.0001326048,0.0006837943,0.005763515,0.003078824,0.007586029],"genre_scores_gemma":[0.5635079,0.002034436,0.4231417,0.0002014497,0.00021746,0.0013202,0.006210929,0.001127258,0.002238777],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003988985,"threshold_uncertainty_score":0.01378059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08443498459179184,"score_gpt":0.3859836113543861,"score_spread":0.3015486267625943,"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."}}