{"id":"W2014935556","doi":"10.1002/mrm.21754","title":"Susceptibility weighted imaging at ultra high magnetic field strengths: Theoretical considerations and experimental results","year":2008,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia Hospital","funders":"","keywords":"Voxel; Imaging phantom; Susceptibility weighted imaging; Sensitivity (control systems); Nuclear magnetic resonance; Phase (matter); Specific absorption rate; Contrast (vision); Visibility; Materials science; Magnetic resonance imaging; Physics; Optics; Computer science; Artificial intelligence; Radiology; Medicine","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":[0.0005445586,0.0003241718,0.0003880134,0.0001875281,0.000267455,0.0003691415,0.0006483093,0.0006789134,0.002212114],"category_scores_gemma":[0.002354603,0.0001572414,0.0001833477,0.0003185612,0.0006841335,0.0006053022,0.0002919448,0.0002977333,0.0003799046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004804437,"about_ca_system_score_gemma":0.0002101009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006763164,"about_ca_topic_score_gemma":0.0004130797,"domain_scores_codex":[0.999791,0.00006503653,0.000006143378,0.00001515502,0.0001044593,0.00001826969],"domain_scores_gemma":[0.9986916,0.0009631834,0.00007297251,0.00007087742,0.0001661486,0.00003510789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008409718,0.0002197829,0.003165307,0.000688053,0.00005227649,0.0007312864,0.0002638849,0.6560971,0.2886941,0.0227378,0.001572452,0.02493707],"study_design_scores_gemma":[0.00007633206,0.0004078992,0.001338722,0.0000353285,0.00002830315,0.0002493093,0.0000557018,0.8696455,0.1194515,0.006332455,0.002341807,0.0000372352],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7014964,0.002770898,0.2735751,0.001369754,0.00005663077,0.0001388519,0.000233474,0.0007931619,0.01956574],"genre_scores_gemma":[0.9329606,0.001080903,0.06441607,0.00008010762,0.00001927102,0.00008401566,0.0001098868,0.00005872111,0.001190492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002212114,"threshold_uncertainty_score":0.007400215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287422510812644,"score_gpt":0.3050066668882004,"score_spread":0.292132441780074,"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."}}