{"id":"W2014360970","doi":"10.1103/physreve.86.031104","title":"Stochastic noise in atomic force microscopy","year":2012,"lang":"en","type":"article","venue":"Physical Review E","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":"Spectral density; Statistical physics; Noise (video); Cantilever; Stochastic process; Context (archaeology); Logarithm; Stochastic resonance; Physics; Computer science; Materials science; Mathematics; Mathematical analysis; Statistics","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":[0.00009670444,0.0001402141,0.0002701279,0.00001942497,0.00004216576,0.00001137419,0.0001543898,0.00001188983,0.0001736626],"category_scores_gemma":[0.000004143634,0.0001218026,0.0001289245,0.000204366,0.00003689106,0.0001131964,0.00005445875,0.000149722,0.0004026667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002709765,"about_ca_system_score_gemma":0.00001750192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005324892,"about_ca_topic_score_gemma":3.46479e-7,"domain_scores_codex":[0.9992371,0.00002063687,0.0001873712,0.0001576399,0.00007139086,0.0003258672],"domain_scores_gemma":[0.9995124,0.00003771874,0.00006719256,0.0002683173,0.00001621339,0.00009809905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001213258,0.002033167,0.01245061,0.000769496,0.00004395354,2.750606e-7,0.0004571504,0.00002168236,0.3060842,0.6234561,0.01221781,0.04245351],"study_design_scores_gemma":[0.003351007,0.0003344099,0.03206611,0.01479302,0.0009065155,0.000009927378,0.0001715074,0.006975377,0.2425804,0.3524902,0.3412123,0.005109199],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9238286,0.01095613,0.05052146,0.0005301032,0.00009122428,0.001609923,0.00006535107,0.0001162674,0.01228092],"genre_scores_gemma":[0.9981472,0.0001322635,0.0006836414,0.000290097,0.0002423451,0.0002896999,0.000028075,0.00001923204,0.0001674759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3289945,"threshold_uncertainty_score":0.5175601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242270976710616,"score_gpt":0.3430295684009326,"score_spread":0.3306068586338264,"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."}}