{"id":"W2130208639","doi":"10.1002/cjce.22009","title":"Application of a capacitance sensor for monitoring water lubricated pipeline flows","year":2014,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Multiphysics; Capacitance; Annulus (botany); Capacitance probe; Pipeline transport; Pipeline (software); Flow (mathematics); Mechanical engineering; Materials science; Viscosity; Layer (electronics); Mechanics; Acoustics; Petroleum engineering; Engineering; Composite material; Structural engineering; Chemistry; Physics; Finite element method; Electrode","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004153031,0.0003919014,0.0002745819,0.0005265049,0.0003522763,0.0004291772,0.0007530226,0.0009976655,0.00064248],"category_scores_gemma":[0.0009149719,0.0001856609,0.0001793112,0.0005458546,0.0003881862,0.0005726435,0.0003202402,0.0003904391,0.0001270722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006885815,"about_ca_system_score_gemma":0.0005918418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001683522,"about_ca_topic_score_gemma":0.001627053,"domain_scores_codex":[0.9994469,0.00006928519,0.00001930106,0.0001594918,0.0002497975,0.00005511526],"domain_scores_gemma":[0.9995787,0.0001344242,0.00007254189,0.00002913048,0.0001533831,0.00003184976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006271638,0.00003021792,0.000593485,0.00007802679,0.000005108108,0.00007389577,0.00004797409,0.0006555145,0.9906131,0.0001884482,0.0001854167,0.007466159],"study_design_scores_gemma":[0.00001035258,0.0001847773,0.001466176,0.000005687374,0.00001069655,0.0001246428,0.00004041941,0.01091031,0.9858504,0.00005463835,0.001319985,0.00002200216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8815365,0.002337446,0.1107078,0.0005430066,0.000232216,0.0001875208,0.0004205855,0.0007020667,0.003332849],"genre_scores_gemma":[0.9697939,0.0005785176,0.02864678,0.0000940523,0.00002361508,0.00003759493,0.00007428825,0.000009755871,0.0007416619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001683522,"threshold_uncertainty_score":0.004996061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008949731891728582,"score_gpt":0.1751388221836001,"score_spread":0.1661890902918715,"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."}}