{"id":"W7160934454","doi":"10.1121/10.0040143","title":"Development of the primary standards system based on the optical method for airborne ultrasound range","year":2025,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Microphone; Ultrasonic sensor; Synchronizing; Sound pressure; SIGNAL (programming language); System of measurement; Measure (data warehouse); Range (aeronautics); Artifact (error)","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":[0.003002402,0.0001461924,0.0004005212,0.00001947868,0.0002342214,0.00001511723,0.0007486518,0.00005753673,0.00001612487],"category_scores_gemma":[0.0004293653,0.00005701443,0.000668535,0.000391034,0.0002557194,0.00002307756,0.00006119192,0.0003571736,3.313415e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003030249,"about_ca_system_score_gemma":0.0002554387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003045457,"about_ca_topic_score_gemma":5.223497e-7,"domain_scores_codex":[0.9981389,0.000183213,0.0005525731,0.00006868198,0.0008597916,0.00019681],"domain_scores_gemma":[0.9971147,0.001996043,0.0002274828,0.0003472729,0.0002779565,0.00003660295],"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":[0.0007949007,0.0003704507,0.000183811,0.001923875,0.004435115,4.473243e-7,0.002449711,0.6331912,0.2202881,0.0003356654,0.09255398,0.04347274],"study_design_scores_gemma":[0.001166134,0.0001258843,0.002867487,0.001018475,0.002167605,0.000005480442,0.003824049,0.941445,0.0395234,0.0001772016,0.007478555,0.0002007266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005758578,0.0002372259,0.9891269,0.003684807,0.0002247906,0.000255137,0.00002174222,0.00001357304,0.0006772273],"genre_scores_gemma":[0.8336596,0.00004776173,0.1651718,0.0009441453,0.00009355447,0.000007113958,4.116467e-7,0.00001979713,0.00005579329],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8279011,"threshold_uncertainty_score":0.2324981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175419183667814,"score_gpt":0.2451702068139705,"score_spread":0.2334160149772923,"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."}}