{"id":"W2495559241","doi":"10.3762/bjnano.7.100","title":"Customized MFM probes with high lateral resolution","year":2016,"lang":"en","type":"article","venue":"Beilstein Journal of Nanotechnology","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Magnetic force microscope; Cantilever; Image resolution; Materials science; Characterization (materials science); Magnetic field; Demagnetizing field; Resolution (logic); Magnetization; Nanotechnology; Optics; Computer science; 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":[0.0001349867,0.0001215246,0.0002456988,0.0001548894,0.00007523069,0.00001506151,0.0002688412,0.00009706974,0.00014344],"category_scores_gemma":[0.000005561195,0.00006818058,0.00007702524,0.000164079,0.0001616053,0.0001259652,0.0000440508,0.0001746391,0.00001744057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003972388,"about_ca_system_score_gemma":0.00006431498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002555359,"about_ca_topic_score_gemma":0.000001773107,"domain_scores_codex":[0.9992014,0.00002497168,0.0003273569,0.0001295625,0.00009814735,0.0002185656],"domain_scores_gemma":[0.9992076,0.00002871817,0.0003580649,0.0002213718,0.0001410109,0.00004319559],"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":[0.0003385531,0.0001921536,0.005123162,0.000006989019,0.0001258656,0.00001111301,0.00004072186,0.00001439921,0.7282822,0.2068625,0.002524475,0.05647791],"study_design_scores_gemma":[0.00368379,0.0008583416,0.00039007,0.000243785,0.0000660493,0.0001059437,0.00005690112,0.00001409583,0.9003103,0.04677615,0.0472402,0.0002543781],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8703254,0.00004951259,0.124916,0.004177222,0.00005250461,0.0001672089,0.00001338494,0.00006214836,0.0002366512],"genre_scores_gemma":[0.9810533,0.00001358841,0.01828043,0.0000208191,0.0001054901,0.00002059507,0.000001670105,0.00001652345,0.0004875693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1720281,"threshold_uncertainty_score":0.2780323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004466460515166356,"score_gpt":0.2246347849984392,"score_spread":0.2201683244832728,"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."}}