{"id":"W4406839895","doi":"10.1080/00207179.2025.2454925","title":"Output feedback near-optimal control of atomic force microscope","year":2025,"lang":"en","type":"article","venue":"International Journal of Control","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Memorial University of Newfoundland","funders":"","keywords":"Atomic force microscopy; Control theory (sociology); Control (management); Feedback control; Microscope; Physics; Computer science; Mathematics; Materials science; Nanotechnology; Optics; Control engineering; Engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001955845,0.0001231874,0.0003064186,0.0001187311,0.00004989207,0.00008051944,0.0005393907,0.00004044429,0.0001915028],"category_scores_gemma":[0.00001237118,0.0001097312,0.0002841061,0.00007864667,0.00009810233,0.000130588,0.00003293522,0.0001878018,0.00001094683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004939682,"about_ca_system_score_gemma":0.0002157386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004314884,"about_ca_topic_score_gemma":5.141521e-7,"domain_scores_codex":[0.9989038,0.00002687438,0.0006164773,0.00010605,0.0002037431,0.0001431074],"domain_scores_gemma":[0.9985182,0.0001024581,0.0005299395,0.0001347482,0.0006661579,0.00004851943],"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":[0.002445503,0.001168774,0.1164532,0.00003597831,0.004395809,0.00001313025,0.0004222251,0.007896709,0.5039824,0.2679684,0.02879168,0.06642621],"study_design_scores_gemma":[0.05422017,0.001026438,0.03344566,0.001523814,0.001282209,0.00007806011,0.0005751336,0.04647011,0.4023634,0.07010403,0.3876173,0.001293669],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.312218,0.0001943192,0.681058,0.001883761,0.0003933577,0.0002115923,0.0001639683,0.00001085942,0.003866134],"genre_scores_gemma":[0.9951205,0.000005922574,0.003063862,0.0003604113,0.0002185185,0.00001166053,0.00000625733,0.00001037107,0.00120246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6829026,"threshold_uncertainty_score":0.4474708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003611340780215288,"score_gpt":0.2754160631866383,"score_spread":0.271804722406423,"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."}}