{"id":"W2534319709","doi":"10.1007/978-3-319-32180-6_27","title":"Magnetically Driven Microrobotics for Micromanipulation and Biomedical Applications","year":2016,"lang":"en","type":"book-chapter","venue":"Microsystems and nanosystems","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002018769,0.0005673819,0.0008422867,0.0001795795,0.0003054731,0.00016759,0.0002003222,0.000482462,0.00007892793],"category_scores_gemma":[0.000002596632,0.0004695984,0.000200772,0.00003410348,0.0002218451,0.00006329437,0.0001292579,0.0001863381,0.0000683859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005935618,"about_ca_system_score_gemma":0.0001011111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003643443,"about_ca_topic_score_gemma":0.000008601556,"domain_scores_codex":[0.9977192,0.00002556607,0.0008751228,0.0007714489,0.0001752004,0.0004334825],"domain_scores_gemma":[0.9984627,0.0001774494,0.0004741917,0.0004283413,0.0001931646,0.0002641008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005129189,0.00009653797,0.0006360044,0.002267375,0.0005551803,0.000004253467,0.0001915794,0.00000214556,0.2323023,0.7308921,0.01332783,0.01967334],"study_design_scores_gemma":[0.001403043,0.0001698854,0.00002266067,0.001097767,0.0002894838,0.00004935491,0.00003503265,0.0001322293,0.0007405853,0.005599123,0.989641,0.0008198695],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.004073446,0.03026409,0.7321859,0.001496925,0.004285084,0.02224453,0.0158102,0.000499982,0.1891398],"genre_scores_gemma":[0.1589417,0.0004425679,0.00606664,0.0001223327,0.006323624,0.0006716673,0.001559221,0.0005225065,0.8253497],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9763131,"threshold_uncertainty_score":0.9997756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009710424496055498,"score_gpt":0.2197010098047955,"score_spread":0.20999058530874,"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."}}