{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001380749,0.001266288,0.0004800396,0.0007580568,0.0001992952,0.0005667909,0.001877784,0.0006087733,0.01275306],"category_scores_gemma":[0.002505934,0.0007065847,0.0008012013,0.0002749473,0.0003721927,0.0009275772,0.001380657,0.0008301482,0.007463642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003199104,"about_ca_system_score_gemma":0.001325868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005768245,"about_ca_topic_score_gemma":0.0005563394,"domain_scores_codex":[0.9993718,0.00008289902,0.00004336002,0.0001314843,0.000304748,0.00006564549],"domain_scores_gemma":[0.99861,0.000329195,0.0001259941,0.0002699455,0.0004609583,0.0002038719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001501637,0.0004592983,0.006300323,0.001260365,0.0002620362,0.0008480116,0.0006195359,0.008679111,0.2471804,0.008843992,0.1895712,0.5344741],"study_design_scores_gemma":[0.0004220383,0.001530843,0.01245639,0.0001793539,0.0002016017,0.003878388,0.00007343641,0.08349706,0.394887,0.003412218,0.4991851,0.0002765733],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01799878,0.0003712352,0.7783492,0.000298135,0.0002056407,0.000921495,0.00228031,0.1913483,0.008226915],"genre_scores_gemma":[0.1391513,0.0007712123,0.7752084,0.001058012,0.0002273558,0.002374357,0.0102512,0.04324541,0.0277128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01275306,"threshold_uncertainty_score":0.04266328,"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."}}