{"id":"W2948338829","doi":"10.11159/ffhmt19.180","title":"Instantaneous Void Fraction Signal Using Capacitance Sensor for Two-Phase Flow Pattern Identification","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Capacitance; SIGNAL (programming language); Acoustics; Materials science; Two-phase flow; Capacitive sensing; Signal-flow graph; Void (composites); Identification (biology); Electronic engineering; Flow (mathematics); Computer science; Electrical engineering; Mechanics; Engineering; Physics; Composite material; Electrode","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":[0.0001880466,0.000184586,0.0002070779,0.0001237988,0.00006823633,0.0001098731,0.0002246147,0.00006836835,0.0001366884],"category_scores_gemma":[0.000009777851,0.0001566841,0.0001236395,0.00009753842,0.00003450143,0.0002948017,0.000006885663,0.0001378112,0.000007241675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009534203,"about_ca_system_score_gemma":0.00001584049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001455011,"about_ca_topic_score_gemma":0.000007695166,"domain_scores_codex":[0.9988728,0.000004644647,0.0003194089,0.0002447322,0.0003879644,0.0001705051],"domain_scores_gemma":[0.9994447,0.00002390849,0.00002600055,0.00007663517,0.0003838856,0.00004488176],"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":[0.0001140809,0.00003786762,0.000381735,0.0001255842,0.0001340066,2.318576e-7,0.0001948245,0.003480766,0.9912061,0.0008221967,0.00004515776,0.003457415],"study_design_scores_gemma":[0.0008256367,0.00004364656,0.00003643243,0.000133633,0.00007044249,0.000003823195,0.000203547,0.6694062,0.3287756,0.0002860349,0.00007516574,0.0001397928],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948408,0.00003347085,0.04888689,0.0002770882,0.0005188623,0.0003730692,0.0001048181,0.00005075538,0.001347014],"genre_scores_gemma":[0.9989998,0.00005448347,0.0005934575,0.00004545333,0.000122162,0.00002452265,0.00001735402,0.00002478528,0.000117949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6659254,"threshold_uncertainty_score":0.6389393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02838313658857016,"score_gpt":0.2495609621048922,"score_spread":0.2211778255163221,"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."}}