{"id":"W2087386672","doi":"10.1159/000120779","title":"Frameless Stereotaxy in Children","year":2008,"lang":"en","type":"article","venue":"Pediatric Neurosurgery","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Fiducial marker; Stereotaxy; Medicine; Coronal plane; Stereotaxis; Sagittal plane; Nuclear medicine; Stereoelectroencephalography; Image-guided surgery; Brain biopsy; Computer vision; Artificial intelligence; Computer science; Radiology; Epilepsy surgery; Biopsy; Haptic technology; Epilepsy","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":[0.00006378832,0.0001099678,0.0001842143,0.0002550124,0.00002709803,0.000003339154,0.0001210411,0.0001266559,0.00004068675],"category_scores_gemma":[0.00007238545,0.0001135409,0.00004800521,0.0004751345,0.00004073825,0.00005775648,0.00002902659,0.0003591496,0.00007930688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001468536,"about_ca_system_score_gemma":0.00001847861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007020033,"about_ca_topic_score_gemma":7.376254e-7,"domain_scores_codex":[0.9992017,0.00001497395,0.0002143424,0.0001513655,0.0001202498,0.0002974381],"domain_scores_gemma":[0.9996487,0.00008320779,0.00001819692,0.0001652549,0.000006111618,0.00007847517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001766015,0.00002872301,0.9891348,0.00001298776,0.000003575166,0.0001712209,0.00001966217,0.00008814636,0.0000132333,0.00005488433,0.00537087,0.005100095],"study_design_scores_gemma":[0.0003654452,0.00001677499,0.9880622,0.000003696039,0.00001028787,0.0002632072,0.000004461799,0.0006731456,0.000301427,0.0001954295,0.009803,0.000300896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967629,0.001327452,0.0001392088,0.00004231845,0.0004310065,0.0000726299,0.000003348517,0.0004665619,0.0007545915],"genre_scores_gemma":[0.9935845,0.005896905,0.00003524295,0.0001385835,0.0002624397,0.00001400587,0.000002839588,0.00002302578,0.00004247314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004799199,"threshold_uncertainty_score":0.4630063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00754580741052937,"score_gpt":0.1813579359014283,"score_spread":0.173812128490899,"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."}}