{"id":"W2791376757","doi":"10.1155/2018/6431749","title":"Accuracy and Precision of a Veterinary Neuronavigation System for Radiation Oncology Positioning","year":2018,"lang":"en","type":"article","venue":"Journal of Veterinary Medicine","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Rogue Research (Canada)","funders":"College of Engineering, Michigan State University; Michigan State University","keywords":"Radiosurgery; Radiation oncology; Neuronavigation; Medical physics; Positioning system; Medicine; Radiology; Radiation therapy; Nuclear medicine; Physics; Magnetic resonance imaging; Acoustics","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":[0.003140563,0.0004381396,0.0003687534,0.0006848736,0.0004752922,0.0009541657,0.0006194807,0.0005533308,0.002726884],"category_scores_gemma":[0.01125128,0.0004141453,0.0002536277,0.0005452384,0.0006213135,0.000595482,0.0008897862,0.0004186091,0.0007759682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005573781,"about_ca_system_score_gemma":0.001206027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003049255,"about_ca_topic_score_gemma":0.003677938,"domain_scores_codex":[0.9975384,0.000522894,0.0002769405,0.0004107273,0.001131949,0.0001189833],"domain_scores_gemma":[0.9937406,0.002209139,0.0005519772,0.001012177,0.002376353,0.0001097481],"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":[0.001081426,0.0001003672,0.02859478,0.0005256271,0.0001123,0.0001748586,0.001505444,0.01246061,0.7213523,0.001309733,0.001734439,0.2310481],"study_design_scores_gemma":[0.0001365825,0.005052899,0.1458084,0.0001418732,0.0005154193,0.002393919,0.0005528036,0.03811329,0.7791758,0.000863747,0.02699709,0.000248262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6605045,0.001533344,0.3283146,0.0004168055,0.0002437383,0.0004872793,0.0009186094,0.002028377,0.00555273],"genre_scores_gemma":[0.875553,0.0003616917,0.1211946,0.00005573926,0.0000180746,0.0001050691,0.0004958294,0.0002585508,0.00195758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003140563,"threshold_uncertainty_score":0.01660913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03478779442526768,"score_gpt":0.3932810993778428,"score_spread":0.3584933049525751,"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."}}