{"id":"W2949348317","doi":"10.48550/arxiv.1809.01584","title":"Calibration of the oscillation amplitude of electrically excited scanning probe microscopy sensors","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Tuning fork; Oscillation (cell signaling); Calibration; Resonator; Amplitude; Materials science; Non-contact atomic force microscopy; Piezoelectricity; Noise (video); Resolution (logic); Cantilever; Vibration; Acoustics; Optics; Optoelectronics; Conductive atomic force microscopy; Physics; Atomic force microscopy; Nanotechnology; Chemistry; Computer science","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":[0.00009768653,0.0001788326,0.0002406095,0.0000990542,0.0001187514,0.0000218878,0.0004207847,0.0001312835,0.00005206453],"category_scores_gemma":[0.000004111993,0.0001675815,0.0001994303,0.0004976943,0.000198746,0.00006481515,0.0003216193,0.0002400927,0.000002003467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005917421,"about_ca_system_score_gemma":0.0001284475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004296972,"about_ca_topic_score_gemma":0.000003885028,"domain_scores_codex":[0.9990548,0.00006173892,0.0002695644,0.0003869256,0.00006140014,0.0001655842],"domain_scores_gemma":[0.998546,0.00003000822,0.0005748412,0.0005844926,0.0002259128,0.00003876185],"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":[0.0001343542,0.0004634135,0.3138499,0.0002939965,0.0003402092,8.41326e-7,0.0006686587,0.0949423,0.3444757,0.2424393,0.002150961,0.0002404085],"study_design_scores_gemma":[0.0008749023,0.0001926333,0.01872958,0.0007149712,0.000475056,7.533749e-7,0.0002538035,0.2200914,0.6229061,0.1335291,0.001249004,0.0009827666],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6562729,0.000005023992,0.3423077,0.00002231836,0.00004361188,0.0004130086,0.00006494582,0.00002936854,0.0008410585],"genre_scores_gemma":[0.9974751,0.000005007345,0.001804546,0.000008260972,0.00009320357,0.000002741114,0.0000658374,0.00001814023,0.0005271973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3412021,"threshold_uncertainty_score":0.6833776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02948497542129976,"score_gpt":0.2160579605796472,"score_spread":0.1865729851583474,"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."}}