{"id":"W2139894346","doi":"10.1148/radiol.12112640","title":"Augmented Reality Visualization with Use of Image Overlay Technology for MR Imaging–guided Interventions: Assessment of Performance in Cadaveric Shoulder and Hip Arthrography at 1.5 T","year":2012,"lang":"en","type":"article","venue":"Radiology","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Cancer Institute","keywords":"Medicine; Cadaveric spasm; Cadaver; Shoulders; Magnetic resonance imaging; Nuclear medicine; Overlay; Shoulder joint; Operator (biology); Radiology; Surgery; 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":[0.0004411292,0.0001201118,0.0002862809,0.0003838232,0.00006001474,0.000009265328,0.000207194,0.00008301172,0.000004843323],"category_scores_gemma":[0.00003929391,0.000108506,0.00005502741,0.0006750925,0.0003605065,0.0004380045,0.0001320268,0.00008053599,2.505589e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001023933,"about_ca_system_score_gemma":0.00003825747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004522748,"about_ca_topic_score_gemma":0.0000437346,"domain_scores_codex":[0.9987845,0.0001126601,0.0004686948,0.0002720197,0.0001011058,0.0002609819],"domain_scores_gemma":[0.998908,0.0001248482,0.0003472005,0.000437998,0.0001382696,0.0000437079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003644029,0.0005224782,0.8523135,0.0003247993,0.00009676678,7.279001e-7,0.0003327378,0.0004331261,0.01424615,0.1268751,0.0004492045,0.004368924],"study_design_scores_gemma":[0.002073976,0.0005179674,0.8350617,0.0001842999,0.00007425096,0.0001529291,0.00008739345,0.146662,0.01099241,0.0009627509,0.00292657,0.0003037944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3188732,0.0002086207,0.6798709,0.0004114193,0.0000397493,0.0005016257,0.00001581175,0.00004179635,0.00003681505],"genre_scores_gemma":[0.9631354,0.0001313907,0.03642118,0.00003937671,0.000007710655,0.0002033342,0.00004039514,0.00000859452,0.00001256676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6442622,"threshold_uncertainty_score":0.4424746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04570524632878761,"score_gpt":0.3565613102944551,"score_spread":0.3108560639656675,"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."}}