{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000109133,0.00006933635,0.0001047359,0.00002834104,0.00003308804,0.00003960246,0.0003781474,0.00005104418,0.0001728601],"category_scores_gemma":[0.000005621276,0.00006493925,0.00004137114,0.0003102694,0.00005771009,0.0002909243,0.00004306561,0.00007414786,0.0001016871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001792936,"about_ca_system_score_gemma":0.00008675626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001651931,"about_ca_topic_score_gemma":0.000003228924,"domain_scores_codex":[0.9991289,0.00004190441,0.00024878,0.0002206103,0.0002158977,0.000143903],"domain_scores_gemma":[0.9992845,0.00006831683,0.00008566007,0.0004071565,0.0001025171,0.00005182044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003187939,0.00007281023,0.0002305783,0.000005553192,0.000009587483,3.287416e-7,0.0001467564,0.0002186114,0.03928175,0.9441507,0.0003148822,0.01556523],"study_design_scores_gemma":[0.001360129,0.0007454724,0.005555268,0.00002827896,0.00002406402,0.00003763258,0.0001035442,0.293526,0.6724164,0.01661469,0.009178425,0.000410124],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07034069,0.00001715653,0.9058537,0.001402758,0.00005838152,0.0004190409,0.000001525508,0.0001222627,0.02178444],"genre_scores_gemma":[0.9700544,0.000001174208,0.02940408,0.0001240347,0.00002158321,0.00003635415,0.00001376122,0.000003394286,0.0003411785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.927536,"threshold_uncertainty_score":0.2648146,"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."}}