{"id":"W4403266330","doi":"10.3397/in_2024_3677","title":"Cross-comparison of the optical and acoustical calibration methods for microphones based on microelectromechanical system technologies","year":2024,"lang":"en","type":"article","venue":"NOISE-CON proceedings","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Acoustics; Calibration; Microelectromechanical systems; Materials science; Computer science; Engineering; Physics; Optoelectronics","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":[0.01517349,0.0009956677,0.0005000369,0.003466713,0.0009161915,0.001914788,0.001750009,0.001468585,0.003479844],"category_scores_gemma":[0.02781747,0.0004966792,0.0007740256,0.001967144,0.001746443,0.002377244,0.00180692,0.001409384,0.001408263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329713,"about_ca_system_score_gemma":0.001462731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009706329,"about_ca_topic_score_gemma":0.002002277,"domain_scores_codex":[0.9749961,0.007221455,0.001140284,0.002836789,0.01331925,0.0004861036],"domain_scores_gemma":[0.9743298,0.01016108,0.002095896,0.003066136,0.01012284,0.0002242911],"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":[0.0007672902,0.0003250628,0.01540093,0.001657438,0.0002603808,0.0002462649,0.001378826,0.002849976,0.5120215,0.03236717,0.003142717,0.4295824],"study_design_scores_gemma":[0.00005653183,0.001036457,0.03186048,0.0003215959,0.0002467347,0.001566127,0.0006479939,0.01654802,0.8911495,0.007014347,0.04932831,0.0002239433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07623317,0.007054898,0.8901387,0.00068092,0.001826083,0.0004509252,0.0003397597,0.0007224374,0.02255296],"genre_scores_gemma":[0.4577863,0.003924055,0.5257255,0.0005867959,0.0003732023,0.0006346841,0.000457015,0.0004061169,0.01010629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01517349,"threshold_uncertainty_score":0.08024597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791338061180609,"score_gpt":0.3000100536314196,"score_spread":0.2820966730196136,"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."}}