{"id":"W1634254524","doi":"10.1088/0964-1726/24/9/095018","title":"Flow measurement and thrust estimation of a vibrating ionic polymer metal composite","year":2015,"lang":"en","type":"article","venue":"Smart Materials and Structures","topic":"Dielectric materials and actuators","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; Division of Civil, Mechanical and Manufacturing Innovation; Office of Naval Research; National Science Foundation","keywords":"Thrust; Reynolds number; Propulsion; Vibration; Particle image velocimetry; Water tunnel; Underwater; Vorticity; Acoustics; Mechanics; Materials science; Physics; Aerospace engineering; Engineering; Geology; Vortex","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":[0.0001938771,0.0001225989,0.0002283696,0.00004024698,0.0000374315,0.00008718678,0.00003561832,0.00004555341,0.00006976804],"category_scores_gemma":[0.00001777216,0.00009637627,0.00001241272,0.00003435869,0.00002707637,0.00009294384,0.00002388329,0.00002320132,7.476414e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001118019,"about_ca_system_score_gemma":0.00001114072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005365032,"about_ca_topic_score_gemma":0.000003640779,"domain_scores_codex":[0.9993866,0.00002635685,0.0002167585,0.00009832761,0.0001486927,0.0001232379],"domain_scores_gemma":[0.9997891,0.000007621416,0.00004422006,0.00007172307,0.00002788148,0.00005944592],"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":[0.00002789951,0.000004305039,0.00004930532,0.0001901519,0.00005607878,0.000001070098,0.0003368,0.001500676,0.9885225,0.0007742259,0.0001565868,0.008380395],"study_design_scores_gemma":[0.0003317304,0.00005033721,0.002922019,0.00002952582,0.00003570415,0.00001262626,0.00002983182,0.006639397,0.9884421,0.001305391,0.00005971266,0.0001415996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973442,0.001332717,0.0004146914,0.00001330706,0.0004670091,0.00009129409,0.00002644175,0.00004700771,0.0002633602],"genre_scores_gemma":[0.9984448,0.00003828455,0.001409905,0.00001101147,0.00006563577,0.000004554941,0.00001010646,0.00001320079,0.000002532897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008238796,"threshold_uncertainty_score":0.393011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130934427542459,"score_gpt":0.2002310552475536,"score_spread":0.1871376124933077,"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."}}