{"id":"W2058917240","doi":"10.1109/iembs.2011.6090206","title":"Preliminary design of a SIMO fuzzy controller for steering microparticles inside blood vessels by using a magnetic resonance imaging system","year":2011,"lang":"en","type":"article","venue":"","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Magnetic resonance imaging; Fuzzy logic; Controller (irrigation); Computer science; Fuzzy control system; Control theory (sociology); Set (abstract data type); Fuzzy set; Biomedical engineering; Blood circulation; Control engineering; Engineering; Control (management); Medicine; Artificial intelligence; Radiology","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":[0.0006519697,0.0006603496,0.0005417991,0.0003585604,0.0005581798,0.000821636,0.0009262229,0.0008787753,0.002563391],"category_scores_gemma":[0.0007661441,0.0002561739,0.0004294407,0.0001189641,0.000410544,0.0003409173,0.000363807,0.0004944399,0.0004869931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003649042,"about_ca_system_score_gemma":0.0008268747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002171539,"about_ca_topic_score_gemma":0.001405691,"domain_scores_codex":[0.9995936,0.00006093313,0.00003764557,0.0001081655,0.0001555838,0.00004413912],"domain_scores_gemma":[0.9995622,0.00009688568,0.00003963406,0.00003286481,0.0002383734,0.0000300934],"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":[0.001345778,0.0003489505,0.002446067,0.001665766,0.0002546877,0.001157842,0.0008332584,0.3688731,0.2947332,0.01458258,0.002878947,0.3108799],"study_design_scores_gemma":[0.0001633464,0.001617173,0.001246525,0.00007254206,0.0001085722,0.0002940285,0.0001053504,0.8965818,0.08594321,0.001491692,0.01231371,0.00006201503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03756454,0.0003471569,0.9503378,0.0002162611,0.0002134896,0.0003720832,0.00005826476,0.001029361,0.009861021],"genre_scores_gemma":[0.8595719,0.0002331741,0.1332816,0.0001600389,0.00005165313,0.0004631404,0.00007374539,0.0000335695,0.00613121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002563391,"threshold_uncertainty_score":0.00857538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02367149716456864,"score_gpt":0.2054468936077364,"score_spread":0.1817753964431677,"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."}}