{"id":"W2922381021","doi":"10.1117/12.2513565","title":"Electromagnetically tracked partial nephrectomy navigation: demonstration of concept","year":2019,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Nephrectomy; Usability; Navigation system; Computer science; Fiducial marker; Computer vision; Imaging phantom; Artificial intelligence; Compass; Simulation; Radiology; Medicine; Human–computer interaction; Kidney","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":[0.0005893863,0.0004815412,0.0001930018,0.0001997865,0.0001274296,0.0004069878,0.0007058575,0.0007860786,0.002874048],"category_scores_gemma":[0.000717568,0.0001852008,0.0003288171,0.00008668809,0.0002746478,0.0006306968,0.0004470362,0.0004258115,0.0004830297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001489481,"about_ca_system_score_gemma":0.0004349963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007518452,"about_ca_topic_score_gemma":0.0005771731,"domain_scores_codex":[0.9997506,0.00004224724,0.000013703,0.00003389996,0.0001402592,0.00001931852],"domain_scores_gemma":[0.9996274,0.00009990629,0.00004079778,0.00003434223,0.0001391619,0.00005843415],"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":[0.0004308535,0.0004737413,0.002873737,0.0008430607,0.00007082161,0.001203397,0.0005593579,0.003815136,0.7852759,0.0040643,0.005468952,0.1949206],"study_design_scores_gemma":[0.0005893615,0.0122576,0.02021094,0.0003223406,0.0002298953,0.01568971,0.0003309973,0.08158302,0.75245,0.001663353,0.1143555,0.00031731],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2184562,0.002600972,0.7634727,0.001231739,0.0007760968,0.0007075416,0.0002613065,0.003639569,0.008853819],"genre_scores_gemma":[0.5965912,0.001754543,0.3908115,0.0003682119,0.0001427966,0.00041716,0.0002343549,0.000130268,0.00954998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002874048,"threshold_uncertainty_score":0.009614646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008520684592910215,"score_gpt":0.2387080620610718,"score_spread":0.2301873774681616,"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."}}