{"id":"W4401336572","doi":"10.1109/marss61851.2024.10612749","title":"Magnetic Actuation of Small-Scale Soft Robots","year":2024,"lang":"en","type":"article","venue":"","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Robot; Scale (ratio); Computer science; Physics; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003663064,0.00005442632,0.00006904475,0.00003051324,0.00001467189,0.00002130888,0.00004861171,0.00001626645,0.0025052],"category_scores_gemma":[5.867049e-7,0.00004462676,0.00005137521,0.00008465086,0.00001324229,0.00003342096,0.00001760107,0.00004098487,0.0001537027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004226381,"about_ca_system_score_gemma":0.00003051122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006301236,"about_ca_topic_score_gemma":0.000005624007,"domain_scores_codex":[0.9996682,0.000005264894,0.0001066055,0.00009151394,0.00004404666,0.00008437772],"domain_scores_gemma":[0.9998305,0.00002677121,0.00001328494,0.00008737139,0.00001883146,0.00002325032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001181932,0.0002487293,0.01254315,0.0001771733,0.0001010545,0.000001954832,0.00100151,0.002758171,0.1689572,0.138789,0.01321031,0.6621999],"study_design_scores_gemma":[0.001864971,0.0007169386,0.02222628,0.0004848097,0.0005571917,0.000005655282,0.00132684,0.151316,0.6540846,0.08758655,0.07832621,0.001503947],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2210543,0.0005642075,0.6309556,0.0003095516,0.0004442634,0.0002024615,0.00001920182,0.00009033013,0.1463601],"genre_scores_gemma":[0.9860624,0.000002348625,0.003375499,0.00001310201,0.00011072,0.00000246767,0.00001481046,0.000008084639,0.01041056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7650082,"threshold_uncertainty_score":0.9984066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00938555976293152,"score_gpt":0.2241951810202912,"score_spread":0.2148096212573597,"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."}}