{"id":"W4411711270","doi":"10.1139/tcsme-2024-0117","title":"Design and validation of an MRI conditional surgical robot for neurosurgery with remote center-of-motion","year":2025,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Tianjin City; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Center (category theory); Neurosurgery; Motion (physics); Robot; Computer science; Simulation; Medical physics; Artificial intelligence; Engineering; Medicine; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001489438,0.00007651392,0.0001344226,0.00004698003,0.00007551865,0.000006911655,0.0000782988,0.00007422021,0.000002443317],"category_scores_gemma":[0.000008659655,0.00007204922,0.0001447618,0.0001742367,0.0000281948,0.00005029499,0.000001593467,0.0000702609,1.794174e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005731256,"about_ca_system_score_gemma":0.00007417134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002180676,"about_ca_topic_score_gemma":0.0001852446,"domain_scores_codex":[0.9995309,0.000005601718,0.0001885386,0.00009069221,0.00006203315,0.0001223104],"domain_scores_gemma":[0.9995354,0.0001757956,0.00002861323,0.000124489,0.00006707025,0.00006863368],"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":[0.000006252546,0.00001406994,0.00000195554,0.0001548079,0.00007375888,2.943673e-8,0.00003291775,0.9874028,0.007745421,0.003817011,0.0000170097,0.0007339693],"study_design_scores_gemma":[0.0004203114,0.00003757315,0.00006499692,0.00005072218,0.00007522482,0.000003412705,0.00001818605,0.9312399,0.06720109,0.0004536007,0.0003622506,0.00007273936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01248258,0.0000157085,0.9866405,0.0001820111,0.00009604506,0.0004002474,0.0001529773,0.00002566044,0.000004233387],"genre_scores_gemma":[0.9049814,0.000009860993,0.09490354,0.000008562062,0.000009779991,0.00003470535,0.00002742526,0.00001576004,0.000008981553],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8924988,"threshold_uncertainty_score":0.2938082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284994934449457,"score_gpt":0.2146677137691608,"score_spread":0.2018177644246663,"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."}}