{"id":"W4324017442","doi":"10.1021/acsnano.2c12811","title":"Steering Micromotors via Reprogrammable Optoelectronic Paths","year":2023,"lang":"en","type":"article","venue":"ACS Nano","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Science, Technology and Innovation Commission of Shenzhen Municipality; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Dielectrophoresis; Materials science; Nanotechnology; Optoelectronics; Electrical conductor; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001114164,0.0003629485,0.0001609941,0.0001563846,0.0001376231,0.0003185309,0.0003204855,0.0002734929,0.0008091581],"category_scores_gemma":[0.0002585151,0.0002303187,0.0001375418,0.0001069551,0.0003682121,0.0004001842,0.0002814002,0.0003243892,0.000422875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001917322,"about_ca_system_score_gemma":0.000201293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002302765,"about_ca_topic_score_gemma":0.0005066151,"domain_scores_codex":[0.9998943,0.00001350729,0.000009731152,0.0000316057,0.00003479894,0.00001605034],"domain_scores_gemma":[0.9998636,0.00002417165,0.00004725128,0.00003056416,0.00002083015,0.00001352768],"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":[0.00003852337,0.00002035544,0.0002260756,0.00007311078,0.000006542308,0.0001268333,0.00006220461,0.003471765,0.9644037,0.006460969,0.0003961794,0.02471367],"study_design_scores_gemma":[0.00002717755,0.0002178341,0.0005099186,0.00001230644,0.00000901023,0.0002948381,0.00004193994,0.03337096,0.9378335,0.0016676,0.0259851,0.00002978824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5073361,0.001785938,0.4695228,0.0005443365,0.0004425401,0.0002650143,0.0002261545,0.002007457,0.01786959],"genre_scores_gemma":[0.8515626,0.0009806696,0.1410447,0.0001401402,0.00003598995,0.0001089703,0.0000974694,0.00008402699,0.005945482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008091581,"threshold_uncertainty_score":0.002706945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007843204689316423,"score_gpt":0.2302875514194097,"score_spread":0.2224443467300933,"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."}}