{"id":"W4409231528","doi":"10.1117/12.3047143","title":"Robotic tracking of a resection cavity using a low cost bench-top robotic arm and electromagnetics","year":2025,"lang":"en","type":"article","venue":"","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Toronto","funders":"","keywords":"Electromagnetics; Robotic arm; Tracking (education); Computer science; Robotic hand; Computer vision; Resection; Artificial intelligence; Robot; Engineering; Electronic engineering; Medicine","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":[0.00007089613,0.000101827,0.0001626808,0.0001134725,0.00005640533,0.0000350983,0.00006279787,0.00006551402,0.00001417998],"category_scores_gemma":[0.00002825038,0.0001093721,0.00003071117,0.0003856785,0.00003410023,0.00005300816,0.00002237804,0.0001202307,0.000001036686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005783075,"about_ca_system_score_gemma":0.00002695684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007652929,"about_ca_topic_score_gemma":0.0001262968,"domain_scores_codex":[0.999394,0.000009571211,0.0002066476,0.0001381755,0.00007325699,0.0001783267],"domain_scores_gemma":[0.9996352,0.00007805303,0.00002475754,0.0001696849,0.00005227486,0.00004000858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003522573,0.00006272827,0.002061763,0.0003029075,0.00003158557,7.953387e-7,0.00006564017,0.9198526,0.06946167,0.004648433,0.0000871909,0.003421203],"study_design_scores_gemma":[0.0002296877,0.00003450073,0.006255771,0.0001804935,0.00006971052,0.000007829292,0.00004584377,0.9700367,0.021899,0.001088473,0.00001359887,0.0001383455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4962268,0.0004508866,0.5000179,0.00007994776,0.00014052,0.0003976534,0.000001293432,0.0001356731,0.002549374],"genre_scores_gemma":[0.9923466,0.00008174111,0.007384078,0.0000182543,0.00002030868,0.00001282053,0.000003025112,0.00001379034,0.0001193214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4961199,"threshold_uncertainty_score":0.4460066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460757179221791,"score_gpt":0.2562639155287024,"score_spread":0.2416563437364845,"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."}}