{"id":"W1512360104","doi":"","title":"Monte Carlo simulation for calculation of uncertainty in reciprocity calibration of microphones","year":2007,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Monte Carlo method; Reciprocity (cultural anthropology); Sensitivity (control systems); Calibration; Uncertainty analysis; Computer science; Statistical physics; Simulation; Mathematics; Electronic engineering; Physics; Engineering; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003464557,0.0005582724,0.001327873,0.00121422,0.001226044,0.001322577,0.001734713,0.002049027,0.005178855],"category_scores_gemma":[0.01570425,0.001203933,0.0009726959,0.001738512,0.0008646837,0.00130577,0.00104204,0.001454564,0.0008859302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553764,"about_ca_system_score_gemma":0.00183386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01627717,"about_ca_topic_score_gemma":0.01093247,"domain_scores_codex":[0.9984491,0.0007949734,0.00006407244,0.0001252315,0.000435081,0.0001315917],"domain_scores_gemma":[0.9846061,0.01283863,0.0003685608,0.0007326198,0.001248797,0.000205362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007047921,0.00002064875,0.0005235315,0.00002621132,0.00002125174,0.00003900168,0.00002949375,0.9854013,0.0003133361,0.009608373,0.0003852005,0.003561165],"study_design_scores_gemma":[0.000007495728,0.000004609496,0.0000739072,0.000004850561,0.000003476458,0.00001184122,0.000004070171,0.9977897,0.0002964131,0.001607152,0.000190299,0.000006083073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04463825,0.0003378408,0.945049,0.0002458776,0.00008922908,0.00009078552,0.000329082,0.00111783,0.008102074],"genre_scores_gemma":[0.7021224,0.0002660754,0.291293,0.0001983957,0.00005326438,0.0003886282,0.0007304974,0.0007075808,0.004240165],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01627717,"threshold_uncertainty_score":0.03236485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825652995054529,"score_gpt":0.2668658774645276,"score_spread":0.2486093475139823,"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."}}