{"id":"W2753008889","doi":"10.1093/ons/opx189","title":"Virtual Reality Tumor Resection: The Force Pyramid Approach","year":2017,"lang":"en","type":"article","venue":"Operative Neurosurgery","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Research Council Canada; King Fahad Medical City","keywords":"Pyramid (geometry); Medicine; Virtual reality; Computer science; Resection; Physical medicine and rehabilitation; Artificial intelligence; Surgery; Mathematics; Geometry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005442971,0.0001355092,0.0002465759,0.0000321614,0.001278687,0.0002073129,0.0001345248,0.00004488162,0.0001824529],"category_scores_gemma":[0.001160714,0.00008199117,0.0001301189,0.00008567896,0.0003178016,0.0001916344,0.00007518313,0.0003264929,0.00003353202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002923076,"about_ca_system_score_gemma":0.00006319895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002555021,"about_ca_topic_score_gemma":0.000005132953,"domain_scores_codex":[0.9988105,0.0001535337,0.0002293314,0.0003103463,0.0002852837,0.0002110382],"domain_scores_gemma":[0.998699,0.0003288707,0.000108935,0.0006252973,0.0001156553,0.0001222413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01608121,0.004003433,0.5847371,0.0003266512,0.001056286,0.003208891,0.0112574,0.01402696,0.02567315,0.1101064,0.06027219,0.1692504],"study_design_scores_gemma":[0.005831043,0.0006883194,0.7865804,0.000124098,0.00009735297,0.0003909302,0.001144851,0.04606072,0.007009866,0.0002932666,0.1512131,0.0005660417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8471227,0.00002303165,0.0006224486,0.008858168,0.0007633117,0.0004549909,0.000009132087,0.00009332364,0.1420529],"genre_scores_gemma":[0.9904262,0.0000107792,0.00002227461,0.002070923,0.0004084573,0.00003234347,0.00001327753,0.00001822173,0.006997481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2018433,"threshold_uncertainty_score":0.9834759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09181994335442513,"score_gpt":0.3534850523575976,"score_spread":0.2616651090031725,"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."}}