{"id":"W2995324767","doi":"10.3174/ajnr.a6368","title":"Lateral Decubitus Digital Subtraction Myelography: Tips, Tricks, and Pitfalls","year":2019,"lang":"en","type":"review","venue":"American Journal of Neuroradiology","topic":"Neurosurgical Procedures and Complications","field":"Medicine","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital","funders":"","keywords":"Myelography; Medicine; Subtraction; Fluoroscopy; Radiology; Digital subtraction angiography; Image subtraction; Nuclear medicine; Angiography; Spinal cord; Computer science; Artificial intelligence; Image processing; Image (mathematics)","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":[0.001285321,0.001267647,0.0015882,0.006297474,0.0005027904,0.001696785,0.001351884,0.001655763,0.002357479],"category_scores_gemma":[0.003280519,0.0004341342,0.0007758652,0.003950696,0.001621145,0.004014139,0.0008384706,0.003261229,0.001599671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005510763,"about_ca_system_score_gemma":0.001424381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001296117,"about_ca_topic_score_gemma":0.002752362,"domain_scores_codex":[0.9994056,0.00009041627,0.0001631109,0.00008240366,0.0002267401,0.0000317093],"domain_scores_gemma":[0.9977513,0.001167852,0.0003637637,0.00007078974,0.0004984842,0.0001478099],"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":[0.00003973573,0.0000436323,0.0008459783,0.0085941,0.00006646676,0.001832129,0.0001410686,0.0002244034,0.0005275969,0.002086573,0.03245205,0.9531464],"study_design_scores_gemma":[0.00004278027,0.0001602171,0.00566418,0.02211839,0.0003535477,0.115535,0.0007897058,0.0004389004,0.0008290961,0.01363528,0.8402934,0.0001395359],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002772287,0.9964629,0.0004095647,0.001630012,0.0004018043,0.000005075762,0.00001516644,0.00002411907,0.0007741661],"genre_scores_gemma":[0.002138386,0.9940355,0.001107407,0.001091378,0.001109262,0.000008058749,0.00002972656,0.000007469968,0.0004728237],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006297474,"threshold_uncertainty_score":0.007886589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04377945195585551,"score_gpt":0.3446164658825921,"score_spread":0.3008370139267366,"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."}}