{"id":"W4402673239","doi":"10.1109/tmrb.2024.3464683","title":"SlicerROS2: A Research and Development Module for Image-Guided Robotic Interventions","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Robotics and Bionics","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health; Vector Institute; Canadian Institutes of Health Research; Mitacs; Natural Sciences and Engineering Research Council of Canada; Queen's University; Johns Hopkins University","keywords":"Psychological intervention; Computer science; Image (mathematics); Human–computer interaction; Artificial intelligence; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004083318,0.0001286126,0.0001422501,0.0001775679,0.0002667486,0.0001103219,0.00008290724,0.0001083774,0.00004106213],"category_scores_gemma":[0.00002190439,0.0001154637,0.00005715823,0.0002101849,0.0001435793,0.0001089169,0.000003592718,0.0004763569,0.00001582025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006529638,"about_ca_system_score_gemma":0.00006804673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002313228,"about_ca_topic_score_gemma":0.00002952115,"domain_scores_codex":[0.9989177,0.00001640436,0.0002646372,0.0002236633,0.0002832474,0.0002943458],"domain_scores_gemma":[0.9993865,0.0002247864,0.000007415584,0.0001052678,0.00006561344,0.0002103395],"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":[0.0000346544,0.0004521711,0.000004645584,0.004012335,0.0003962291,0.00007635079,0.001206453,0.5537033,0.001890243,0.005956649,0.001937532,0.4303294],"study_design_scores_gemma":[0.0004619039,0.0001386359,0.00001439546,0.0009265573,0.00004511109,0.00006798316,0.000213104,0.9869059,0.003515173,0.00182951,0.005636635,0.0002450698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002020981,0.001619329,0.994159,0.001133611,0.000618929,0.0002027701,0.000009804235,0.0001727275,0.00006282503],"genre_scores_gemma":[0.9262964,0.002503682,0.0703461,0.00006636833,0.00008581363,0.00009843125,0.000009434433,0.00005429018,0.0005394383],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9242755,"threshold_uncertainty_score":0.4708474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0798257671380167,"score_gpt":0.3634580359468614,"score_spread":0.2836322688088447,"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."}}