{"id":"W2333254470","doi":"10.1097/01.eja.0000412453.44912.c4","title":"A07 Intraoperative MRI","year":2012,"lang":"en","type":"article","venue":"European Journal of Anaesthesiology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Intraoperative MRI; Interventional magnetic resonance imaging; Workflow; Sedation; Magnetic resonance imaging; Operating theater; Medical physics; Patient safety; Medical emergency; Health care; Surgery; Radiology; Database; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007725945,0.00105293,0.0003758456,0.001971547,0.001112542,0.001910651,0.001147762,0.001702757,0.1468609],"category_scores_gemma":[0.002634717,0.0004423034,0.0007472917,0.0009368735,0.0006334031,0.001721403,0.001863062,0.002516359,0.07589313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007105041,"about_ca_system_score_gemma":0.002332965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001464342,"about_ca_topic_score_gemma":0.001825468,"domain_scores_codex":[0.9991911,0.0001120014,0.0001089465,0.0001198107,0.000350501,0.0001175802],"domain_scores_gemma":[0.9975328,0.0003544979,0.0001995186,0.0003025044,0.001136359,0.0004741824],"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":[0.0005803719,0.0002295262,0.008255501,0.000943901,0.00004969895,0.0111157,0.0001605232,0.0006664962,0.01081236,0.006696919,0.2937733,0.6667157],"study_design_scores_gemma":[0.00008310466,0.0003852227,0.00740601,0.000922992,0.00005295553,0.05991568,0.0001982885,0.001236311,0.007294609,0.005214075,0.9172183,0.00007244357],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02931617,0.01298895,0.07713091,0.01476537,0.01379079,0.0007818569,0.004385082,0.00831503,0.8385259],"genre_scores_gemma":[0.3102386,0.02970717,0.1356046,0.02361478,0.02137424,0.001691434,0.01377165,0.004560817,0.4594366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1468609,"threshold_uncertainty_score":0.4912988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02244682818219063,"score_gpt":0.3022881570956604,"score_spread":0.2798413289134697,"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."}}