{"id":"W1971461453","doi":"10.1115/1.4007932","title":"Design and Manufacturing of Embedded Air-Muscles for a Magnetic Resonance Imaging Compatible Prostate Cancer Binary Manipulator","year":2012,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetic resonance imaging; Computer science; Robot; Simulation; Biomedical engineering; Artificial intelligence; Engineering","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":[0.0007590805,0.0001335474,0.0002863256,0.00008203796,0.00004331709,0.00001474405,0.0001083399,0.00005262555,0.00001210462],"category_scores_gemma":[0.00004170162,0.0001099692,0.00007188907,0.00005629786,0.00003109928,0.0001700557,0.00002081561,0.0001402417,6.136038e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000478507,"about_ca_system_score_gemma":0.00002783546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001233387,"about_ca_topic_score_gemma":1.571312e-7,"domain_scores_codex":[0.9989352,0.00007276938,0.0004774802,0.00008072913,0.0001796012,0.0002542828],"domain_scores_gemma":[0.9991931,0.0003315286,0.000148484,0.00009632545,0.0000966941,0.0001338469],"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":[0.0006394025,0.0002650096,0.000607482,0.0008612133,0.00008461352,0.00001473297,0.001796808,0.6022825,0.3115544,0.001071976,0.001762194,0.07905973],"study_design_scores_gemma":[0.00210724,0.0009062907,0.006525013,0.0005983375,0.000142605,0.00008150208,0.0002320348,0.6742017,0.309072,0.004965727,0.0007945619,0.0003729918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1702993,0.01887274,0.8095389,0.0001891696,0.0004725315,0.0005857341,0.00000714295,0.00002871003,0.00000576091],"genre_scores_gemma":[0.8089015,0.0003793213,0.1905763,0.0000263322,0.00006073558,0.00001458545,2.522562e-7,0.0000291963,0.00001180365],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6386021,"threshold_uncertainty_score":0.4484412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387008870076554,"score_gpt":0.252010139792343,"score_spread":0.2281400510915775,"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."}}