{"id":"W3171605154","doi":"10.1002/mp.15050","title":"Design and validation of an MRI‐compatible mechatronic system for needle delivery to localized prostate cancer","year":2021,"lang":"en","type":"article","venue":"Medical Physics","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Prostate cancer; Medicine; Prostate; Neurovascular bundle; Magnetic resonance imaging; Ablation; Cancer; Biomedical engineering; Nuclear medicine; Radiology; Surgery","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":[0.00009116541,0.00006031676,0.0001271449,0.00001128011,0.00002900558,0.00001191806,0.00005230346,0.00003387409,0.000007780515],"category_scores_gemma":[0.00001056685,0.00005984513,0.00001823994,0.0001305047,0.0000123559,0.00004023578,0.00001554335,0.00004252971,0.000001855954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003521715,"about_ca_system_score_gemma":0.0000762814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002050928,"about_ca_topic_score_gemma":0.000003711867,"domain_scores_codex":[0.9995164,0.00001212692,0.0001276266,0.0001018517,0.0001361014,0.0001059192],"domain_scores_gemma":[0.9996365,0.00006552948,0.00001737754,0.0001088313,0.00007058857,0.0001011814],"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":[0.00001925036,0.00009248215,0.00009718411,0.000725088,0.00007696197,0.000001701481,0.0006775293,0.93471,0.01660748,0.004386305,0.0008453601,0.04176066],"study_design_scores_gemma":[0.0004525355,0.00003797256,0.00002299375,0.0001026888,0.00003756427,9.697743e-7,0.00009259186,0.6265483,0.3709404,0.001222645,0.0004400649,0.0001012411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1350693,0.0001587758,0.8642477,0.00009385835,0.00007618921,0.0002634415,0.00001315373,0.00005815554,0.0000193884],"genre_scores_gemma":[0.9881602,0.00004465591,0.01145422,0.0000310685,0.00008279063,0.000167349,0.00003227889,0.00001762872,0.000009796571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8530909,"threshold_uncertainty_score":0.2440414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01829461658156384,"score_gpt":0.2560833735892596,"score_spread":0.2377887570076958,"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."}}