{"id":"W2037131598","doi":"10.1115/1.4002717","title":"Contrapropagating Ultrasonic Flowmeter Using Clad Buffer Rods for High Temperature Measurements","year":2010,"lang":"en","type":"article","venue":"Journal of Dynamic Systems Measurement and Control","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; McGill University","funders":"","keywords":"Ultrasonic flow meter; Ultrasonic sensor; Flow measurement; Materials science; Rod; Calibration; Buffer (optical fiber); Volumetric flow rate; Transducer; Acoustics; Flow (mathematics); Temperature measurement; Mechanics; Electrical engineering; Engineering; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003231175,0.0003768307,0.0008294312,0.0002721853,0.0001862782,0.000235654,0.0002359102,0.0002113055,0.00001301991],"category_scores_gemma":[0.0002037358,0.0002996295,0.0002993713,0.0001648088,0.00004539829,0.0003199227,0.000007034632,0.0005080464,0.000001204537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002226155,"about_ca_system_score_gemma":0.00008819318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001714363,"about_ca_topic_score_gemma":0.00007593982,"domain_scores_codex":[0.9969805,0.0001103282,0.001054279,0.0002266282,0.001170171,0.0004580512],"domain_scores_gemma":[0.9979431,0.00007069593,0.0003906706,0.0002311707,0.001166046,0.0001983262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007995863,0.00004010947,0.002546367,0.0002171489,0.00119389,0.000003740394,0.00005852838,0.003938822,0.9900574,0.00002593328,0.0001146073,0.001723491],"study_design_scores_gemma":[0.03535031,0.00100858,0.008054658,0.002788868,0.006287248,0.0004549047,0.0008708144,0.8967543,0.04442295,0.0002590196,0.001234483,0.002513882],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585041,0.004303698,0.03213922,0.0001240225,0.003992966,0.0008000699,0.000019844,0.00006590821,0.0000501194],"genre_scores_gemma":[0.9981638,0.00004115805,0.0008926161,0.00003287829,0.0007515811,0.00002748376,0.000002594606,0.00006225413,0.00002567168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9456344,"threshold_uncertainty_score":0.9999456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565319041208859,"score_gpt":0.2125678147370177,"score_spread":0.1969146243249291,"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."}}