{"id":"W7114991867","doi":"10.1002/aisy.70165","title":"Advances in 3D Printing Technologies for Fabricating Magnetic Soft Microrobots","year":2025,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Grippers; Process (computing); 3D printing; Fabrication; Crawling; 3d printed","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008110474,0.000831575,0.0009021569,0.001616067,0.0004242067,0.00181789,0.00112167,0.0011611,0.004888761],"category_scores_gemma":[0.00115336,0.0009927172,0.001271111,0.001381896,0.0005875956,0.001138011,0.0009329501,0.002112368,0.004648429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006278774,"about_ca_system_score_gemma":0.0003988112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005657446,"about_ca_topic_score_gemma":0.0008106129,"domain_scores_codex":[0.9987251,0.0001065328,0.0001184555,0.0001965962,0.0007718715,0.00008137297],"domain_scores_gemma":[0.9987893,0.0004602301,0.0001798808,0.0002611618,0.0002582302,0.00005121086],"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":[0.00007641844,0.00005666834,0.0002517177,0.002257802,0.00005083855,0.0005716492,0.0001779108,0.005521263,0.787298,0.009940629,0.004541893,0.1892552],"study_design_scores_gemma":[0.00002975231,0.0001283065,0.001041434,0.0002365227,0.00007167049,0.001647339,0.00005436852,0.01888813,0.7625248,0.005221255,0.2099973,0.0001592157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05783235,0.1134047,0.750582,0.002491628,0.004179642,0.0002387035,0.001414447,0.006662253,0.06319427],"genre_scores_gemma":[0.2585133,0.1094351,0.6035734,0.001326082,0.001456026,0.0004508178,0.001295732,0.0008677086,0.02308189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004888761,"threshold_uncertainty_score":0.01635456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008067782685438249,"score_gpt":0.2730696600038068,"score_spread":0.2650018773183686,"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."}}