{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001456297,0.0002660283,0.0003448576,0.0002367853,0.0002240909,0.0002756034,0.0001988308,0.0003413347,0.0006064204],"category_scores_gemma":[0.0004106804,0.0001723897,0.0002296271,0.0001077371,0.000379228,0.000299193,0.0004056525,0.000289896,0.0001425325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002978241,"about_ca_system_score_gemma":0.0002317368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005574187,"about_ca_topic_score_gemma":0.0005145312,"domain_scores_codex":[0.9998999,0.00002174313,0.000006650278,0.00002257454,0.00003222654,0.00001689779],"domain_scores_gemma":[0.9998912,0.0000409914,0.0000276263,0.0000117729,0.00001387956,0.00001452331],"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":[0.00009099306,0.00006588282,0.001075548,0.0002625274,0.0000480643,0.0002894448,0.0002758823,0.3056302,0.5763032,0.05685338,0.002075888,0.0570289],"study_design_scores_gemma":[0.00002573137,0.0001238636,0.0004389574,0.00001394219,0.00001244402,0.00009021984,0.00003109173,0.9452553,0.03901833,0.006747965,0.00822039,0.00002173674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1674756,0.002665087,0.8175601,0.0006049898,0.0002218944,0.00009700989,0.0000629002,0.0007186617,0.01059379],"genre_scores_gemma":[0.9457191,0.0007558013,0.05105267,0.00008095151,0.00002813545,0.0001184257,0.00003469047,0.00002234155,0.002187854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006064204,"threshold_uncertainty_score":0.002160907,"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."}}