{"id":"W4286110778","doi":"10.1126/sciadv.abm5752","title":"Microrobotic swarms for selective embolization","year":2022,"lang":"en","type":"article","venue":"Science Advances","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Embolization; Biomedical engineering; Magnetorheological fluid; Magnetic resonance imaging; Drug delivery; Targeted drug delivery; Fluidics; Computer science; Nanotechnology; Materials science; Medicine; Magnetic field; Radiology; Physics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001762203,0.00005817644,0.0000693625,0.00006221965,0.0007914689,0.00003045144,0.0002342729,0.000003504275,0.00009453011],"category_scores_gemma":[0.000006940814,0.00005521042,0.00003134249,0.0005654523,0.000116265,0.0002979312,0.00006556145,0.0000491115,0.000005961292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004357134,"about_ca_system_score_gemma":0.0001482847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008580098,"about_ca_topic_score_gemma":0.000001058495,"domain_scores_codex":[0.9993237,0.00001012444,0.00008407473,0.0002125861,0.0001462163,0.0002233236],"domain_scores_gemma":[0.9997201,0.00002696485,0.00005908514,0.00008931509,0.00007057011,0.0000339414],"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":[0.0000578797,0.0003794663,0.03972914,0.0000279118,0.00002616336,5.917717e-7,0.002557864,0.1964577,0.5229832,0.106156,0.003289725,0.1283344],"study_design_scores_gemma":[0.00118368,0.000447564,0.00213516,0.00001166074,0.00003939965,0.000003732261,0.004899462,0.005550616,0.7798446,0.1181825,0.08704292,0.0006586157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3561301,0.001429028,0.616551,0.0006544108,0.003147246,0.001670153,0.0001920658,0.0001352771,0.02009072],"genre_scores_gemma":[0.9946581,9.492682e-7,0.004507235,0.00006125068,0.00008186448,0.00005804196,0.00001157523,0.000005374312,0.0006156496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.638528,"threshold_uncertainty_score":0.6087419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00822125206836125,"score_gpt":0.2737752909124133,"score_spread":0.265554038844052,"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."}}