{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000283839,0.00005920513,0.0001084841,0.0002015488,0.00003882131,0.00001534604,0.0001408038,0.00007339351,9.925558e-7],"category_scores_gemma":[0.0002040128,0.00006456314,0.00002665991,0.0003462056,0.00002512621,0.0001590981,0.000009852088,0.00004201393,1.370845e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001580839,"about_ca_system_score_gemma":0.0003335501,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01160767,"about_ca_topic_score_gemma":0.03215165,"domain_scores_codex":[0.9993163,0.0000100553,0.0002731295,0.0001260953,0.00009430832,0.0001801097],"domain_scores_gemma":[0.9993351,0.0001212771,0.0001283369,0.000130697,0.0001971593,0.00008750703],"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":[0.00001547573,0.000009224987,0.00265947,0.00006066714,0.000003167019,0.000002266642,0.0006438842,0.9249295,0.05004843,0.00008212134,0.00006013343,0.02148566],"study_design_scores_gemma":[0.000306075,0.00002698923,0.02134233,0.00003253874,0.000004638224,5.393138e-7,0.00005016102,0.9566376,0.02112831,0.0003544158,0.00004101642,0.00007537115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4687667,0.00003429181,0.530909,0.00004433745,0.00008643868,0.0001219001,0.00001026269,0.000005967539,0.00002113244],"genre_scores_gemma":[0.9661074,0.000001658315,0.03375455,0.00007428741,0.00003276314,0.000001745298,0.000004014117,0.000004577031,0.0000189673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4973408,"threshold_uncertainty_score":0.9949741,"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."}}