{"id":"W2031599094","doi":"10.1002/jmri.21269","title":"MR systems for MRI‐guided interventions","year":2008,"lang":"en","type":"review","venue":"Journal of Magnetic Resonance Imaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; IMRIS (Canada)","funders":"University of California, San Francisco","keywords":"Interventional radiology; Medicine; Medical physics; Radiology; Magnetic resonance imaging; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003005494,0.0002939917,0.001677431,0.0003251918,0.0001007429,0.00003646844,0.0002855167,0.000104797,0.00002721854],"category_scores_gemma":[0.0001822104,0.0002239872,0.001516594,0.0002653474,0.00009217296,0.00009881329,0.00004547587,0.0005026061,0.000007806994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002011527,"about_ca_system_score_gemma":0.0003378643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003904296,"about_ca_topic_score_gemma":1.754211e-7,"domain_scores_codex":[0.9974862,0.00004669802,0.001676672,0.0002351151,0.0002823434,0.0002729648],"domain_scores_gemma":[0.9974372,0.0001854576,0.001345053,0.0003966418,0.0004877954,0.00014789],"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":[0.000007982624,0.00007964142,0.000004851154,0.005667808,0.00001217869,0.00007270848,0.000009167658,0.000003587673,0.000001228424,0.0002251582,0.05377504,0.9401407],"study_design_scores_gemma":[0.0004704282,0.0002014867,0.000007770192,0.05317273,0.0006839168,0.009755282,0.00001739282,0.0001677324,9.736859e-7,0.0001071879,0.9352474,0.000167669],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[3.409295e-7,0.9140735,0.08341846,0.0002951615,0.000247337,0.001398308,0.00003629214,0.00003371046,0.0004969356],"genre_scores_gemma":[0.000001406067,0.9421959,0.05426486,0.00004707377,0.0006491169,0.0002573384,0.0000158892,0.00006992248,0.002498526],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.939973,"threshold_uncertainty_score":0.9133933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08520618957584926,"score_gpt":0.4271542904623989,"score_spread":0.3419481008865496,"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."}}