{"id":"W2947021211","doi":"10.1109/jsen.2019.2919283","title":"Development and Characterization of a Non-Intrusive Sensor to Measure Wear in Centrifugal Pumps","year":2019,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"FPInnovations; University of British Columbia; Canada Research Chairs","keywords":"Impeller; Electromagnetic coil; Acoustics; Centrifugal pump; Materials science; SIGNAL (programming language); Magnetic reluctance; Magnetic flux; Electrical engineering; Engineering; Magnetic field; Mechanical engineering; Magnet; Physics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002603767,0.00014447,0.0002266735,0.0002732325,0.00002763839,0.00002987727,0.0000855876,0.000074509,0.0000201026],"category_scores_gemma":[0.00004079537,0.0001459306,0.00002433258,0.0001967451,0.0000150849,0.0001249247,0.00001613051,0.0002710634,0.00001938588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001458675,"about_ca_system_score_gemma":0.0000404878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004164276,"about_ca_topic_score_gemma":0.000003051377,"domain_scores_codex":[0.9990665,0.00003323111,0.0003335855,0.0001261761,0.000209297,0.0002312302],"domain_scores_gemma":[0.9995764,0.00002818696,0.00008313001,0.000102116,0.0001053317,0.0001048627],"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":[0.00002513348,0.00001015576,0.01433623,0.00004142624,0.00002028624,0.00002427498,0.001585935,0.0003136485,0.9823756,0.000015862,0.00001221806,0.001239207],"study_design_scores_gemma":[0.0007365238,0.00008141863,0.1953652,0.00060841,0.00001053413,0.0004540433,0.000192389,0.001546387,0.8001596,0.0002317847,0.0002463799,0.000367373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962881,0.000006625562,0.00261947,0.00002901954,0.0002991703,0.0002489219,0.00000407837,0.0000731703,0.0004314739],"genre_scores_gemma":[0.8659697,0.00001302245,0.1338915,0.00001453921,0.00006684535,0.000002385537,9.425508e-7,0.00002899268,0.00001209036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1822161,"threshold_uncertainty_score":0.5950877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048208294145845,"score_gpt":0.2167322585402485,"score_spread":0.2062501755987901,"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."}}