{"id":"W2398539186","doi":"10.1002/nbm.3552","title":"Susceptibility‐weighted imaging: current status and future directions","year":2016,"lang":"en","type":"review","venue":"NMR in Biomedicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":172,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute for Aging","funders":"National Cancer Institute","keywords":"Susceptibility weighted imaging; Quantitative susceptibility mapping; Magnetic resonance imaging; Medicine; Calcification; Radiology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001990133,0.0004100752,0.001379843,0.0006319676,0.00006712451,0.000008491871,0.0001057482,0.0002053778,0.0002017735],"category_scores_gemma":[0.00003854694,0.0002465407,0.0001622158,0.0009189969,0.0003138404,0.00005019619,0.00008319887,0.0005611144,0.00002831951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000342058,"about_ca_system_score_gemma":0.000211439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002033474,"about_ca_topic_score_gemma":0.000009588585,"domain_scores_codex":[0.9979658,0.00004615131,0.0006958345,0.0006456035,0.0002267645,0.000419808],"domain_scores_gemma":[0.998614,0.0001180202,0.0002258681,0.0006473447,0.00009456053,0.0003002305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005986665,0.0001284882,0.0001539225,0.003072372,0.00001186742,0.000009807879,0.0000247389,4.86048e-10,0.00000530696,0.0004062951,0.001652065,0.9945291],"study_design_scores_gemma":[0.0005815657,0.00006896926,0.0002265786,0.0142607,0.0003092696,0.0001037067,0.00002398173,0.00000217646,0.000001039006,0.0004459279,0.9837455,0.0002306159],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000004535074,0.9944602,0.0008225532,0.001746027,0.0003049791,0.001518196,0.0001396327,0.0002117911,0.0007921051],"genre_scores_gemma":[0.000005118462,0.9949513,0.002192599,0.00006843635,0.001573117,0.0003836926,0.0004384186,0.00005912061,0.000328191],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9942985,"threshold_uncertainty_score":0.9999987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03005692494382835,"score_gpt":0.404256068900922,"score_spread":0.3741991439570937,"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."}}