{"id":"W2892341399","doi":"10.1063/1.5045679","title":"Static and dynamic calibration of torsional spring constants of cantilevers","year":2018,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cantilever; Calibration; Spring (device); Laser Doppler vibrometer; Interferometry; Materials science; Acoustics; Torsion spring; Optics; Physics; Mechanics; Classical mechanics; Laser; Composite material; Laser beams","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003287681,0.001405318,0.0009097028,0.002398334,0.0009821922,0.000651511,0.002818912,0.001357813,0.003859285],"category_scores_gemma":[0.007331084,0.001010916,0.0006114327,0.001771922,0.000804002,0.001170664,0.001331442,0.002071476,0.001948025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008812312,"about_ca_system_score_gemma":0.0008754018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009413016,"about_ca_topic_score_gemma":0.002067369,"domain_scores_codex":[0.99457,0.0003865268,0.0003096009,0.001220008,0.003266377,0.0002475601],"domain_scores_gemma":[0.9964401,0.001010607,0.0004388134,0.0007697879,0.001254018,0.00008667133],"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":[0.00009446151,0.00005207921,0.001435228,0.0006968956,0.00004588468,0.0001181653,0.0002469291,0.001348529,0.9149782,0.002762991,0.001414971,0.07680561],"study_design_scores_gemma":[0.00002451771,0.0003941241,0.008656432,0.0001521386,0.00006800038,0.0007160622,0.0001665974,0.02015393,0.9289306,0.002272222,0.03827243,0.0001930252],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09930423,0.01228527,0.873924,0.0004337079,0.001618111,0.0005198219,0.001408424,0.0024019,0.008104449],"genre_scores_gemma":[0.3642696,0.007363883,0.6174929,0.0003216929,0.0002142248,0.001865592,0.00127528,0.0004541284,0.006742695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003859285,"threshold_uncertainty_score":0.01738715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009229679883469821,"score_gpt":0.2899408909664928,"score_spread":0.280711211083023,"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."}}