{"id":"W2028339767","doi":"10.1117/12.908274","title":"Magnetic resonance imaging properties of multimodality anthropomorphic silicone rubber phantoms for validating surgical robots and image guided therapy systems","year":2012,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Imaging phantom; Biomedical engineering; Materials science; Silicone rubber; Silicone; Medical imaging; Robot; Magnetic resonance imaging; Computer science; Artificial intelligence; Nuclear medicine; Radiology; Medicine; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001131342,0.0003642199,0.0001421591,0.0004387065,0.0001128271,0.0002779978,0.0002529086,0.0004300415,0.001000129],"category_scores_gemma":[0.002106364,0.0002282032,0.0001637005,0.0002490064,0.0003388588,0.0004018678,0.000227477,0.0001993201,0.0002371407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001935456,"about_ca_system_score_gemma":0.0001973033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002166766,"about_ca_topic_score_gemma":0.0003591938,"domain_scores_codex":[0.9997661,0.00007145719,0.00001563093,0.00003878009,0.00008562361,0.00002253432],"domain_scores_gemma":[0.9987345,0.0005262149,0.0003055195,0.0001556137,0.0002040206,0.00007405207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001447294,0.00002717106,0.0005780295,0.00006160296,0.000006032886,0.00008445741,0.00006942343,0.002533909,0.9931806,0.000155114,0.00008474811,0.0030743],"study_design_scores_gemma":[0.0000206387,0.001363216,0.006803885,0.0000304156,0.00003044558,0.0005585955,0.00009805624,0.0155235,0.9728158,0.0001303084,0.002601412,0.0000236682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9295825,0.001045078,0.06550955,0.000158489,0.00004655335,0.0001103032,0.0002614353,0.0003203826,0.002965736],"genre_scores_gemma":[0.9523619,0.0006234323,0.04456757,0.00009238083,0.00001253329,0.0001104739,0.0002276168,0.00007984813,0.001924336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001131342,"threshold_uncertainty_score":0.005983174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02259080775703253,"score_gpt":0.2495634215886302,"score_spread":0.2269726138315977,"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."}}