{"id":"W3017382580","doi":"10.1007/s12541-020-00338-4","title":"Development of a Laser Pistonphone System to Calibrate the Sensitivity Modulus and Phase of Microphones for Infrasonic Frequencies","year":2020,"lang":"en","type":"article","venue":"International Journal of Precision Engineering and Manufacturing","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"Korea Research Institute of Standards and Science","keywords":"Sensitivity (control systems); Acoustics; Laser; Reciprocity (cultural anthropology); Quadrature (astronomy); Interferometry; Calibration; Laser Doppler vibrometer; Infrasound; Phase noise; Phase (matter); Optics; Physics; Electronic engineering; Engineering; 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":[0.001498006,0.0007181074,0.000613874,0.001203844,0.0007634571,0.0007844503,0.002082402,0.001558919,0.004005715],"category_scores_gemma":[0.00167893,0.0006891907,0.0004990779,0.0005799397,0.0005420351,0.001070729,0.0009326062,0.0009702953,0.002342971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005092662,"about_ca_system_score_gemma":0.002673795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002446862,"about_ca_topic_score_gemma":0.004361438,"domain_scores_codex":[0.9986032,0.0001378857,0.00006958851,0.0002666934,0.0008490902,0.00007344441],"domain_scores_gemma":[0.998273,0.0003755712,0.0001282847,0.0001788011,0.0009553092,0.00008894534],"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":[0.0001120852,0.0001677758,0.003249945,0.0002193374,0.00004476192,0.0001892515,0.0002005346,0.001443489,0.8804708,0.002035633,0.00145288,0.1104136],"study_design_scores_gemma":[0.0001112424,0.001128917,0.008397779,0.00003901983,0.0001017205,0.001190125,0.0001064467,0.04255421,0.9182321,0.0005944548,0.02742588,0.0001181449],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03861564,0.0003093639,0.9528186,0.0003102041,0.0002151493,0.0008565594,0.000323323,0.002916859,0.003634258],"genre_scores_gemma":[0.1564971,0.0002681065,0.8347862,0.0003471598,0.00008361182,0.0008385183,0.0003735512,0.0001861075,0.006619604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004005715,"threshold_uncertainty_score":0.01340038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1001219418961318,"score_gpt":0.3398776702766564,"score_spread":0.2397557283805246,"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."}}