{"id":"W2463896427","doi":"10.1118/1.4956797","title":"SU-F-T-612: Investigation of Acoustic Neuroma Planning for Stereotactic Radiosurgery Utilizing Linac-Based Cone Collimators","year":2016,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Radiosurgery; Nuclear medicine; Acoustic neuroma; Medicine; Linear particle accelerator; Stereotactic radiotherapy; Dosimetry; Radiation treatment planning; Beam (structure); Physics; Radiation therapy; Radiology; Optics; Surgery","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":[0.0004470064,0.0002482696,0.0001211496,0.0002255258,0.0001280944,0.0002697822,0.0002561307,0.0002931371,0.001222845],"category_scores_gemma":[0.001110676,0.0001363098,0.0001427175,0.0001421266,0.0001657972,0.0001651519,0.0001101467,0.0001140504,0.0002367465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003157465,"about_ca_system_score_gemma":0.0003184668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003675688,"about_ca_topic_score_gemma":0.00266989,"domain_scores_codex":[0.9998206,0.00004684639,0.00000607793,0.00002402344,0.00008571219,0.00001669453],"domain_scores_gemma":[0.9997693,0.00007648663,0.00003240159,0.00001849496,0.00006230886,0.00004105416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004530922,0.0007164541,0.268105,0.0003748778,0.00008312281,0.003013647,0.0004705556,0.09745649,0.4875312,0.0008174328,0.001071827,0.1358284],"study_design_scores_gemma":[0.0005390125,0.01331879,0.3805565,0.00003238787,0.0001042972,0.01102348,0.0003433036,0.412253,0.1763215,0.0005371718,0.004891737,0.00007874437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898053,0.0001623719,0.008091736,0.00002051203,0.000003295746,0.00004305227,0.00005144757,0.00009392403,0.00172822],"genre_scores_gemma":[0.9945346,0.00002487799,0.004991916,0.000007009228,0.000001695436,0.00001314484,0.00009325606,0.0000175791,0.0003159753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003675688,"threshold_uncertainty_score":0.007308602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02667447352494939,"score_gpt":0.2947977650109008,"score_spread":0.2681232914859514,"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."}}