{"id":"W2045699027","doi":"10.1227/neu.0b013e31826a8a75","title":"Brain Tumor Surgery With 3-Dimensional Surface Navigation","year":2012,"lang":"en","type":"article","venue":"Operative Neurosurgery","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Institute for Biodiagnostics; University of Calgary","funders":"","keywords":"Medicine; Visualization; Magnetic resonance imaging; Surgical planning; Lesion; Radiology; Orientation (vector space); Skull; Nuclear medicine; Artificial intelligence; Anatomy; 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":[0.0007108355,0.0002088936,0.000253502,0.00007817309,0.0003141632,0.0001444466,0.0002715485,0.00003998421,0.00003357841],"category_scores_gemma":[0.00010598,0.00017096,0.0000764554,0.0007165123,0.0001156006,0.001360683,0.0001446419,0.0002028352,0.0001837887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005417087,"about_ca_system_score_gemma":0.0001741059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002215824,"about_ca_topic_score_gemma":0.000002208801,"domain_scores_codex":[0.9980798,0.0002998298,0.000305305,0.0004236998,0.0004326537,0.0004586508],"domain_scores_gemma":[0.9976761,0.001240416,0.0001454338,0.0005671651,0.0001491071,0.0002217745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001617787,0.002990995,0.2455562,0.0001192524,0.0002430652,0.0003314592,0.003865127,0.03084803,0.2317582,0.1411482,0.3326001,0.01037765],"study_design_scores_gemma":[0.001675638,0.0003667845,0.3824784,0.0005572293,0.0000766958,0.002745131,0.0002895654,0.1072631,0.3512598,0.0009661606,0.1480084,0.004313147],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8644881,0.00008630828,0.1266433,0.006879563,0.0005390548,0.0003463569,0.00001784123,0.0002642073,0.0007353504],"genre_scores_gemma":[0.992217,0.000002542783,0.003856333,0.003205769,0.0001032686,0.00005511359,0.00004079785,0.00002324425,0.0004959001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1845916,"threshold_uncertainty_score":0.6971546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02418118959034187,"score_gpt":0.2689657970852175,"score_spread":0.2447846074948756,"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."}}