{"id":"W2067363274","doi":"10.1063/1.3660279","title":"Refined tip preparation by electrochemical etching and ultrahigh vacuum treatment to obtain atomically sharp tips for scanning tunneling microscope and atomic force microscope","year":2011,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Materials science; Microscope; Scanning tunneling microscope; Field ion microscope; Tungsten; Etching (microfabrication); Electrochemical scanning tunneling microscope; Magnetic force microscope; Scanning probe microscopy; Field electron emission; Optics; Microscopy; Nanotechnology; Sharpening; Tuning fork; Optoelectronics; Scanning tunneling spectroscopy; Ion; Chemistry; Physics; Magnetic field; Metallurgy","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":[0.0003654984,0.0002310868,0.0003703708,0.00006540526,0.0003114301,0.0001111622,0.0001905831,0.00004625272,0.00005011984],"category_scores_gemma":[0.000007746061,0.0002065909,0.00009099918,0.0002035503,0.0001064714,0.0001543001,0.00007997888,0.00007276011,0.000006126243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007633089,"about_ca_system_score_gemma":0.00007835738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000583575,"about_ca_topic_score_gemma":0.000001221826,"domain_scores_codex":[0.9984406,0.00002396352,0.0005098166,0.0005750991,0.0001108592,0.0003396635],"domain_scores_gemma":[0.9992258,0.0000217308,0.0002286052,0.000291553,0.00009549627,0.0001368358],"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":[0.00003392359,0.00009309588,0.000688914,0.0003823928,0.00003411561,2.756941e-8,0.0002762499,3.030476e-8,0.9739065,0.001058395,0.001344781,0.0221816],"study_design_scores_gemma":[0.0004770317,0.0001911719,0.00006422092,0.001707716,0.00008924162,0.000002637071,0.00003211779,0.0002794954,0.9833754,0.0007334226,0.0128082,0.000239338],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906051,0.001263382,0.005884046,0.00008924691,0.0000550412,0.0015937,0.0001808691,0.00002898602,0.0002996653],"genre_scores_gemma":[0.9600748,0.0005497623,0.03789114,0.000127427,0.00002702056,0.0003589453,0.0003330997,0.00002820137,0.0006095932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03200709,"threshold_uncertainty_score":0.8424533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533525217985353,"score_gpt":0.295840864286503,"score_spread":0.2805056121066494,"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."}}