{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000147254,0.0001386766,0.0001537083,0.00006978748,0.0001286824,0.00005077509,0.0001831547,0.00004022824,0.0001955855],"category_scores_gemma":[0.000002677892,0.0001361316,0.00008959906,0.0004494423,0.0000205806,0.00007980206,0.0000948349,0.000120045,0.0008850221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002828811,"about_ca_system_score_gemma":0.00005217481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001192978,"about_ca_topic_score_gemma":0.000002641235,"domain_scores_codex":[0.9989468,0.00001829367,0.0001750797,0.000259622,0.00009656151,0.0005036865],"domain_scores_gemma":[0.999495,0.00002570681,0.00005590995,0.0003280606,0.00002992223,0.00006540934],"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":[0.00001417237,0.0001387255,0.02062805,0.00003191236,0.0001641672,0.00001405373,0.0003908579,0.0003788328,0.8560539,0.005497132,0.01020613,0.1064821],"study_design_scores_gemma":[0.001131027,0.0002018424,0.001468242,0.00005264486,0.00007020732,0.000005687409,0.0002114997,0.0009413662,0.7671408,0.005490047,0.2225452,0.0007413993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927906,0.0001207247,0.002779235,0.00008182646,0.0002873882,0.0002138079,0.00001087788,0.0002138709,0.003501655],"genre_scores_gemma":[0.9923738,0.0000144656,0.0004381592,0.00001975127,0.0002189142,0.00002330993,0.00006623584,0.00003295242,0.006812469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2123391,"threshold_uncertainty_score":0.9998929,"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."}}