{"id":"W2021404456","doi":"10.1063/1.4893564","title":"Benchtop fabrication of multi-scale micro-electromagnets for capturing magnetic particles","year":2014,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Fabrication; Electromagnet; Materials science; Permalloy; Electrical conductor; Nanotechnology; Magnet; Magnetic nanoparticles; Electrical engineering; Magnetic field; Magnetization; Engineering; Composite material; Nanoparticle; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.00007128309,0.0001502548,0.0001984536,0.00002324557,0.00007264086,0.00001997512,0.0001475285,0.00002413251,0.00001801772],"category_scores_gemma":[0.000001353583,0.0001567119,0.00009554801,0.00009975034,0.00005485399,0.00004201827,0.00002754167,0.0000729553,0.00001664288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001213978,"about_ca_system_score_gemma":0.00001171469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003344414,"about_ca_topic_score_gemma":0.000001145889,"domain_scores_codex":[0.9991729,0.00001424895,0.0002150846,0.0002290533,0.00008560248,0.0002831358],"domain_scores_gemma":[0.999464,0.00007149978,0.0001325138,0.0002441329,0.00004013685,0.00004765295],"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":[0.000009322046,0.000101342,0.001725632,0.00002498481,0.00001973682,1.639853e-8,0.0002836695,0.0009919214,0.9604777,0.006274559,0.0006080267,0.02948316],"study_design_scores_gemma":[0.001064131,0.00005043609,0.002118127,0.000009669124,0.00007579794,9.69944e-8,0.0000534622,0.003097048,0.9900773,0.001957715,0.001245128,0.0002510652],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.687355,0.000021699,0.3117666,0.000112734,0.00004845467,0.0002829418,0.00001537695,0.00001867916,0.0003784497],"genre_scores_gemma":[0.9764295,8.182441e-7,0.02281236,0.0002384396,0.0003238918,0.00006789416,0.0000608229,0.00002620223,0.00004009103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2890744,"threshold_uncertainty_score":0.6390526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009204149204966042,"score_gpt":0.2088277667698646,"score_spread":0.1996236175648986,"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."}}