{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007332122,0.001189074,0.001339256,0.002981571,0.0004957221,0.001034325,0.001335166,0.001712431,0.01031824],"category_scores_gemma":[0.001078154,0.0004235158,0.0007158942,0.002571394,0.0009520851,0.002131941,0.000921499,0.002178444,0.01360612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006988575,"about_ca_system_score_gemma":0.001045108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008486882,"about_ca_topic_score_gemma":0.0008937866,"domain_scores_codex":[0.9993686,0.0001078839,0.00006748536,0.00009473378,0.0003223457,0.00003892975],"domain_scores_gemma":[0.9994547,0.0002093054,0.00008991955,0.0000381316,0.0001785587,0.00002938542],"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":[0.00004333659,0.00006654548,0.0001311375,0.0110764,0.00004881454,0.0004355708,0.0001077571,0.0004397781,0.006516919,0.01273332,0.03997743,0.9284229],"study_design_scores_gemma":[0.00000680901,0.0000531714,0.0003025116,0.001422588,0.00002760909,0.002251458,0.00003077935,0.00007258201,0.001191886,0.001774359,0.9928509,0.00001538364],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002090307,0.9884297,0.001545166,0.0003946144,0.0005713773,0.00002538322,0.0000217636,0.00004022114,0.008762898],"genre_scores_gemma":[0.0021036,0.98908,0.002768736,0.0003681037,0.0004732467,0.00003365643,0.00004731819,0.000009415907,0.005115984],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01031824,"threshold_uncertainty_score":0.034518,"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."}}