{"id":"W4288721968","doi":"10.3390/nano12152598","title":"Hyperelastic Microcantilever AFM: Efficient Detection Mechanism Based on Principal Parametric Resonance","year":2022,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nonlinear system; Cantilever; Hyperelastic material; Galerkin method; Parametric oscillator; Mathematical analysis; Physics; Mechanics; Parametric statistics; Classical mechanics; Control theory (sociology); Materials science; Mathematics; Optics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003281632,0.000303004,0.0003585009,0.0002153043,0.0001315026,0.0002907626,0.0008197305,0.0005163825,0.0005919131],"category_scores_gemma":[0.0003833618,0.0001928646,0.0001768137,0.0001378233,0.0003175409,0.0006620078,0.0005760797,0.0003495324,0.0002184355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001531769,"about_ca_system_score_gemma":0.0001067536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001191848,"about_ca_topic_score_gemma":0.0002207389,"domain_scores_codex":[0.9996246,0.00005141486,0.00001083844,0.00008677303,0.0002012374,0.00002502101],"domain_scores_gemma":[0.9998011,0.00007598195,0.00003633333,0.00004492133,0.00003006092,0.00001168823],"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":[0.00003195419,0.00001747629,0.0002864302,0.00009270993,0.000005391663,0.00006797192,0.00004885163,0.001309722,0.9774507,0.002686749,0.0001108741,0.0178912],"study_design_scores_gemma":[0.00001978559,0.0003088359,0.002874547,0.00001385066,0.00001375042,0.0008529962,0.00003748266,0.2148666,0.7753159,0.001213416,0.004435299,0.00004750832],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3467383,0.001765335,0.6470657,0.0003231042,0.0001092945,0.0001467203,0.0001033411,0.0009008208,0.002847428],"genre_scores_gemma":[0.7493983,0.0005580014,0.2482927,0.00007137514,0.00004742234,0.00007987015,0.00005101014,0.00002986779,0.001471483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008197305,"threshold_uncertainty_score":0.001980126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007621793344401038,"score_gpt":0.2360463207945012,"score_spread":0.2284245274501001,"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."}}