{"id":"W1579416261","doi":"10.1007/978-3-642-04268-3_64","title":"Image Guidance for Spinal Facet Injections Using Tracked Ultrasound","year":2009,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Anesthesia and Pain Management","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Robarts Clinical Trials","funders":"London Health Sciences Centre","keywords":"Guidance system; Medicine; Facet (psychology); Ultrasound; Augmented reality; Lumbar; Medical physics; Computer science; Radiology; Computer vision","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006901681,0.000412857,0.0004257087,0.0009430297,0.0004314088,0.001257132,0.0005258118,0.0009981666,0.002415205],"category_scores_gemma":[0.003303524,0.000480172,0.0004903699,0.000534059,0.0004980146,0.00170361,0.0006831198,0.0007944687,0.000731519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005589515,"about_ca_system_score_gemma":0.001467644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0077994,"about_ca_topic_score_gemma":0.007812399,"domain_scores_codex":[0.9996729,0.00006817644,0.00003273213,0.00004664648,0.000130392,0.00004920385],"domain_scores_gemma":[0.9991154,0.0005230568,0.0001172734,0.0000633477,0.0001359725,0.00004486792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001871384,0.0001530443,0.00668611,0.0008889451,0.00009557423,0.002303605,0.0007929777,0.006731269,0.3522,0.001593633,0.004097567,0.6225859],"study_design_scores_gemma":[0.0009951371,0.007033991,0.06616519,0.001394171,0.001442043,0.04230336,0.0007807951,0.2809904,0.5339833,0.00585422,0.05851236,0.0005449577],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2159539,0.018637,0.7484072,0.001032427,0.0005211047,0.0003433799,0.0002580088,0.002225013,0.01262197],"genre_scores_gemma":[0.7814877,0.007153829,0.2059738,0.0007348839,0.0002561744,0.000150077,0.0001183203,0.0002858823,0.003839364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0077994,"threshold_uncertainty_score":0.015508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02802233730128719,"score_gpt":0.3209672086068812,"score_spread":0.292944871305594,"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."}}