{"id":"W2031182576","doi":"10.4028/www.scientific.net/kem.261-263.1067","title":"Imaging and Evaluation of Nano-Scale Crack by Using Ultrasonic Atomic Force Microscopy","year":2004,"lang":"en","type":"article","venue":"Key engineering materials","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Stiffening; Materials science; Stiffness; Vibration; Resonance (particle physics); Nonlinear system; Nanoscopic scale; Structural engineering; Closing (real estate); Ultrasonic sensor; Softening; Atomic force acoustic microscopy; Nano-; Finite element method; Acoustics; Composite material; Nanotechnology; Engineering; Physics; Magnetic force microscope","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":[0.0002144796,0.0001224099,0.0001626014,0.00003483715,0.00004909955,0.00005079357,0.00007369008,0.00002517375,0.00009153103],"category_scores_gemma":[0.000002354894,0.0001310638,0.00002711036,0.00006160272,0.00002589477,0.00009521854,0.00002676077,0.0000328266,0.000003049379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000500257,"about_ca_system_score_gemma":0.00003251157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002677187,"about_ca_topic_score_gemma":1.920443e-7,"domain_scores_codex":[0.9993591,0.00001002282,0.0002183714,0.0001589024,0.00008919755,0.0001643551],"domain_scores_gemma":[0.9996732,0.000008728595,0.00008649792,0.0001503994,0.00004850933,0.00003267836],"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":[0.000001713001,0.00001540795,0.0002076291,0.00002282074,0.000008835691,1.826918e-8,0.00008091309,0.001718358,0.9967746,0.0009463931,0.00003387392,0.0001894082],"study_design_scores_gemma":[0.000327098,0.000006502914,0.0001803507,0.00008462112,0.00004164446,0.000001549076,0.00002009477,0.001778107,0.996324,0.0009807216,0.0001290527,0.0001262352],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572603,0.000117763,0.04204731,0.00001738468,0.00006968233,0.0002595132,0.0001203828,0.00004403285,0.00006364309],"genre_scores_gemma":[0.987522,0.000005033484,0.01228911,0.000005283352,0.00004772976,0.00003814806,0.00005134767,0.00002624705,0.00001507654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03026174,"threshold_uncertainty_score":0.5344627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00665486948255485,"score_gpt":0.2655462843147437,"score_spread":0.2588914148321889,"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."}}