{"id":"W2088050831","doi":"10.1063/1.4789066","title":"Developments in signal processing and interpretation in laser tapping","year":2013,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Surface Roughness and Optical Measurements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Thermoelastic damping; Tapping; Laser; Honeycomb; SIGNAL (programming language); Acoustics; Interpretation (philosophy); Vibration; Excitation; Materials science; Layer (electronics); Signal processing; Optics; Computer science; Engineering; Physics; Thermal; Composite material; Electrical engineering; Telecommunications","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":[0.0001219923,0.000116464,0.0001318972,0.0001101723,0.00002000103,0.0001354634,0.00007066887,0.00005942578,0.00002996061],"category_scores_gemma":[0.0000259731,0.0001157732,0.000006752815,0.0001955254,0.00001984413,0.0006374828,0.00002550058,0.0001452437,0.00001897011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006879856,"about_ca_system_score_gemma":0.00001988512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002993732,"about_ca_topic_score_gemma":0.00002006663,"domain_scores_codex":[0.9992769,0.00000278042,0.0002072381,0.0001590733,0.000122063,0.0002319094],"domain_scores_gemma":[0.9998091,0.00001118413,0.00002068833,0.00001881786,0.00008934834,0.00005083082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001188293,0.00003616141,0.6864652,0.0003913626,0.000009637371,0.000002010957,0.008474489,0.0001386708,0.03205418,0.0002034209,0.00002278012,0.2721902],"study_design_scores_gemma":[0.0005031698,0.00001987712,0.3812194,0.0008677706,0.00000321722,0.00000181147,0.001525197,0.611874,0.002596588,0.001025782,0.0000768291,0.0002862886],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914093,0.0000799085,0.002038867,0.00004364548,0.00002652932,0.0001975862,1.624562e-7,0.0000594591,0.006144551],"genre_scores_gemma":[0.9979619,0.00002051656,0.001857933,0.0000368914,0.000007037904,0.00008786054,7.613815e-7,0.00001266911,0.00001439331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6117354,"threshold_uncertainty_score":0.4721096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002009210115202,"score_gpt":0.2213227994615643,"score_spread":0.2013027073604123,"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."}}