{"id":"W2037136969","doi":"10.1109/biorob.2010.5627785","title":"Microscale hydrogel-based computer-triggered polymorphic microrobots for operations in the vascular network","year":2010,"lang":"en","type":"article","venue":"","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Microscale chemistry; Magnetic field; Magnetic nanoparticles; Scanner; Propulsion; Vascular network; Nanotechnology; Materials science; Computer science; Nanoparticle; Biomedical engineering; Physics; Engineering; Artificial intelligence; Aerospace engineering; Anatomy; Mathematics","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":[0.0002658977,0.0001512045,0.00017367,0.00003767752,0.000234639,0.00009919693,0.0002996361,0.00005900166,0.0002237566],"category_scores_gemma":[0.000001790837,0.0001085014,0.0001730997,0.000190208,0.00005060167,0.00005008528,0.00002753103,0.0002057128,0.00003202943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006249746,"about_ca_system_score_gemma":0.00008336013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002179755,"about_ca_topic_score_gemma":0.0002617012,"domain_scores_codex":[0.9991112,0.00003451604,0.0002334641,0.0002183453,0.00007209187,0.0003303498],"domain_scores_gemma":[0.999393,0.0001200012,0.00003251771,0.0003632869,0.0000427194,0.00004843035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006806608,0.002474747,0.07815266,0.00006251816,0.0002965672,0.000005057826,0.0008821113,0.2396828,0.375563,0.2265881,0.05991341,0.01631096],"study_design_scores_gemma":[0.01498688,0.0004222057,0.01254112,0.0001253929,0.0003613037,0.00001077957,0.0003174116,0.6243104,0.1462412,0.01592319,0.1822662,0.002493991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4969784,0.00005976237,0.5000902,0.0006783421,0.0004834037,0.0008606814,0.00003768552,0.00002947884,0.0007820238],"genre_scores_gemma":[0.9538676,6.412736e-7,0.04412781,0.0006856433,0.0008659723,0.0000660135,0.0001438179,0.00001969009,0.0002227892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4568892,"threshold_uncertainty_score":0.4424558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007961087063591974,"score_gpt":0.2305362503843725,"score_spread":0.2225751633207805,"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."}}