{"meta":{"query_hash":"919646705e20","filters":{"venue":"2022 IEEE International Ultrasonics Symposium (IUS)"},"cohort_total":15,"direct_labels_cover":0,"predictions_cover":15,"exported":15,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/919646705e20","api":"https://metacan.xera.ac/api/v1/cohort?venue=2022+IEEE+International+Ultrasonics+Symposium+%28IUS%29"},"results":[{"id":"W4310502046","doi":"10.1109/ius54386.2022.9957900","title":"Analytic Optimization-Based Microbubble Tracking in Ultrasound Super-Resolution Microscopy","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Ultrasonics Symposium (IUS)","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microbubbles; Tracking (education); Computer science; Artificial intelligence; Ultrasound; Point spread function; Contrast-enhanced ultrasound; Computer vision; Microscopy; Image resolution; Bubble; Medical ultrasound; Position (finance); Algorithm; Optics; Physics; Acoustics","score_opus":0.008636707621562451,"score_gpt":0.2393612862498012,"score_spread":0.23072457862823872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310502046","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006148393,0.00017775175,0.9928746,0.000096005715,0.000007875055,0.000012917657,0.000014288442,0.0003133093,0.00035483236],"genre_scores_gemma":[0.3078989,0.0006246819,0.6888263,0.00013190061,0.000037883798,0.00010550347,0.000146357,0.00032594588,0.0019025503],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969065,0.0001036873,0.000015129125,0.000048814876,0.000117688454,0.000024011042],"domain_scores_gemma":[0.9992861,0.00041079172,0.000116799725,0.000056449964,0.00010334894,0.000026471322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009963348,0.00052139076,0.0007650021,0.0005193138,0.00022598467,0.0006039436,0.0008241589,0.0008165595,0.0008310961],"category_scores_gemma":[0.0029821016,0.00041773467,0.00049988035,0.0005454942,0.0006001244,0.00073930837,0.0008281277,0.0008404612,0.00039458487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000756091,0.000023333718,0.0002557989,0.00009963646,0.000028461349,0.00006257023,0.00006492489,0.909916,0.021153584,0.011997311,0.0006335348,0.05568933],"study_design_scores_gemma":[0.0000017951936,0.00000617263,0.00003433465,0.0000019738302,0.0000016659245,0.0000076877,0.0000018244727,0.9970657,0.0013198502,0.0013332596,0.00022270156,0.000002972316],"about_ca_topic_score_codex":0.0029081383,"about_ca_topic_score_gemma":0.0019340741,"teacher_disagreement_score":0.0029081383,"about_ca_system_score_codex":0.0007783493,"about_ca_system_score_gemma":0.0009040332,"threshold_uncertainty_score":0.005782366},"labels":[],"label_agreement":null},{"id":"W4310502358","doi":"10.1109/ius54386.2022.9958511","title":"Multifrequency Liver Shear Wave Absolute Vibro-Elastography with an xMATRIX Array - 2D vs. 3D Comparison Study","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Ultrasonics Symposium (IUS)","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetic resonance elastography; Elastography; Imaging phantom; Phasor; Shear (geology); Magnetic resonance imaging; Biomedical engineering; Acoustics; Iterative reconstruction; Physics; Materials science; Medicine; Ultrasound; Radiology; Optics","score_opus":0.017993500699757928,"score_gpt":0.2733760433086161,"score_spread":0.2553825426088582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310502358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9098864,0.003318396,0.08238773,0.00015348717,0.00010722941,0.00015972031,0.0011683216,0.00052615773,0.002292412],"genre_scores_gemma":[0.96121734,0.0009997193,0.035492618,0.00009517289,0.00005915633,0.000121159654,0.0010053858,0.00014486496,0.0008646361],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99942577,0.00020562498,0.000054886037,0.000110578854,0.0001523371,0.00005071222],"domain_scores_gemma":[0.9985688,0.0007237161,0.00016286492,0.00019494053,0.00028996455,0.000059668208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014981527,0.0005316368,0.0005262202,0.0012458694,0.00015500869,0.0008621476,0.00031870278,0.00080835505,0.002973094],"category_scores_gemma":[0.002510065,0.00030434944,0.0005538242,0.00061709416,0.00027056196,0.00065321487,0.00064022635,0.00026722255,0.00049474684],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01768651,0.0010326047,0.030322095,0.002794776,0.00081008417,0.0014012727,0.00088097155,0.05493274,0.5875769,0.0020667668,0.0019575353,0.29853776],"study_design_scores_gemma":[0.0006632698,0.009994637,0.2834034,0.00023824122,0.0010825372,0.01127055,0.0012514391,0.3589796,0.3182084,0.0021548215,0.012233234,0.0005198781],"about_ca_topic_score_codex":0.00067907845,"about_ca_topic_score_gemma":0.0005100972,"teacher_disagreement_score":0.002973094,"about_ca_system_score_codex":0.00016576481,"about_ca_system_score_gemma":0.00018861267,"threshold_uncertainty_score":0.009945929},"labels":[],"label_agreement":null},{"id":"W4310502364","doi":"10.1109/ius54386.2022.9957521","title":"AI-Powered Measurement of Ultrasonic Axial-Transmission Velocity for Pediatric Skeletal Development Evaluation","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Ultrasonics Symposium (IUS)","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Ultrasonic sensor; Preprocessor; Computer science; Ground truth; Modality (human–computer interaction); Waveform; Cluster analysis; Consistency (knowledge bases); Fuzzy logic; SIGNAL (programming language); Artificial intelligence; Computer vision; Biomedical engineering; Acoustics; Medicine; Physics; Telecommunications","score_opus":0.02202950837842504,"score_gpt":0.2566486450351952,"score_spread":0.23461913665677014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310502364","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13563356,0.0018148486,0.8555482,0.00014344057,0.0001644992,0.00015631341,0.0005560024,0.001917717,0.004065384],"genre_scores_gemma":[0.57426476,0.0011805806,0.4213686,0.00011437565,0.000085341555,0.00019051605,0.00043538288,0.00015948662,0.0022008829],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935657,0.00013952485,0.000042005733,0.0001288354,0.00028633446,0.00004672949],"domain_scores_gemma":[0.9992349,0.00022581348,0.00010568485,0.00007403379,0.00031787154,0.00004167357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006781271,0.0006450929,0.00052506034,0.0024431625,0.0002508785,0.0006019352,0.00068355317,0.0009137091,0.0019498625],"category_scores_gemma":[0.0019818463,0.00027583528,0.00032183487,0.0016693734,0.0002177262,0.00057129393,0.000361343,0.00037148656,0.0010470418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003613508,0.00014894013,0.025692573,0.00045219756,0.00006451978,0.00020274275,0.00016937884,0.00591628,0.30269325,0.0012615102,0.0018166483,0.6612206],"study_design_scores_gemma":[0.0000956272,0.0008890272,0.115784846,0.00017592007,0.00030600702,0.0035326907,0.0003989033,0.4646098,0.39762226,0.002112778,0.014204345,0.00026776863],"about_ca_topic_score_codex":0.001629066,"about_ca_topic_score_gemma":0.002491796,"teacher_disagreement_score":0.0024431625,"about_ca_system_score_codex":0.00022223257,"about_ca_system_score_gemma":0.0005804194,"threshold_uncertainty_score":0.006523013},"labels":[],"label_agreement":null},{"id":"W4310507201","doi":"10.1109/ius54386.2022.9957995","title":"Sonoporation Stimulates Short-term Potentiation of Membrane Resealing in Neighboring Cells","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Ultrasonics Symposium (IUS)","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Institute for Aging; University of Waterloo","funders":"","keywords":"Sonoporation; Intracellular; Depolarization; Long-term potentiation; Biophysics; Membrane; Perforation; Membrane potential; Cell biology; Chemistry; Cell membrane; Materials science; Biology; Biochemistry; Microbubbles; Medicine; Ultrasound","score_opus":0.01287637675318299,"score_gpt":0.2399246230880767,"score_spread":0.2270482463348937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310507201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948769,0.0013161441,0.0018698004,0.00004923095,0.00002917402,0.000015591175,0.00006318095,0.00006321626,0.001716705],"genre_scores_gemma":[0.9962643,0.00059031113,0.0013325443,0.000033949684,0.000011479244,0.000029820985,0.00008209884,0.000012598841,0.0016430302],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999106,0.000013722328,0.000006475283,0.000022269032,0.000023589098,0.000023320816],"domain_scores_gemma":[0.9998741,0.000051212242,0.000023084398,0.000013151639,0.000014892345,0.00002348606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009611057,0.00020251314,0.00022692436,0.00011664495,0.00009810661,0.00016829035,0.000106009335,0.00021407036,0.0012835377],"category_scores_gemma":[0.0002012479,0.00009233498,0.00018182436,0.0000843431,0.00016633146,0.00020581638,0.000271979,0.00033755292,0.00021109026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055027107,0.000009283417,0.000044909204,0.000020947053,0.0000018697506,0.000033127522,0.00001925986,0.00003315976,0.99869376,0.000032185548,0.000021528755,0.0010348719],"study_design_scores_gemma":[0.000006275413,0.00020820413,0.0022223142,0.0000036770455,0.000005770484,0.0000847264,0.000031108935,0.0005502597,0.99571687,0.0000205991,0.0011476197,0.000002527664],"about_ca_topic_score_codex":0.0002773199,"about_ca_topic_score_gemma":0.00039319214,"teacher_disagreement_score":0.0012835377,"about_ca_system_score_codex":0.00010168247,"about_ca_system_score_gemma":0.000087818975,"threshold_uncertainty_score":0.0042937994},"labels":[],"label_agreement":null},{"id":"W4310521132","doi":"10.1109/ius54386.2022.9957216","title":"Coupling Fast Superresolution CNN with Fast Plane-Wave Fourier-Domain Beamforming","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Ultrasonics Symposium (IUS)","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Convolutional neural network; Fourier transform; Interpolation (computer graphics); Artificial intelligence; Beamforming; Computer vision; Frequency domain; Superresolution; Iterative reconstruction; Time domain; Pattern recognition (psychology); Image (mathematics); Telecommunications; Physics","score_opus":0.00961552004659561,"score_gpt":0.19803479873433766,"score_spread":0.18841927868774205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310521132","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11513684,0.00121955,0.8516143,0.0006573945,0.00028890706,0.00030615815,0.004323684,0.018204968,0.00824827],"genre_scores_gemma":[0.410542,0.0006060849,0.5690287,0.0005283002,0.0001080595,0.00029972717,0.0120594045,0.0009459231,0.005881868],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950516,0.00006110702,0.000019383346,0.00015833713,0.00017016492,0.00008577614],"domain_scores_gemma":[0.9995167,0.00013062461,0.000040341736,0.00013382295,0.00014758731,0.000030763953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008830917,0.0017829151,0.0006752582,0.00085158466,0.00022667869,0.0008187118,0.0014579091,0.00080681563,0.0026025006],"category_scores_gemma":[0.0025594719,0.0005227993,0.000656988,0.0008102414,0.00031022873,0.0011025917,0.0012418524,0.0010523379,0.0015038657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004152871,0.0003089945,0.0030070506,0.00035805756,0.00034921188,0.00029884378,0.00007243588,0.3719619,0.10276534,0.003711516,0.026234698,0.49051672],"study_design_scores_gemma":[0.000015422178,0.000062887426,0.0009498352,0.000015137263,0.000025253457,0.000082176695,0.000015769323,0.97182804,0.022440974,0.0016760203,0.002874055,0.000014402234],"about_ca_topic_score_codex":0.010111732,"about_ca_topic_score_gemma":0.020046374,"teacher_disagreement_score":0.010111732,"about_ca_system_score_codex":0.00090262166,"about_ca_system_score_gemma":0.00063816423,"threshold_uncertainty_score":0.02010572},"labels":[],"label_agreement":null},{"id":"W4310521158","doi":"10.1109/ius54386.2022.9957589","title":"Real-Time Super-Resolution Ultrasound Imaging using GPU Acceleration","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Ultrasonics Symposium (IUS)","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Compute Canada","funders":"","keywords":"Computer science; Graphics processing unit; Beamforming; Frame rate; Image processing; Artificial intelligence; Signal processing; Parallel processing; Visualization; Graphics; Computer vision; Throughput; Scanner; Computer graphics (images); Computer hardware; Digital signal processing; Image (mathematics); Telecommunications","score_opus":0.014587046743348245,"score_gpt":0.2725875742924776,"score_spread":0.25800052754912933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310521158","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05363783,0.00039461756,0.93691033,0.00016638223,0.00006516255,0.000068881585,0.00017475181,0.0044042408,0.0041777943],"genre_scores_gemma":[0.3060945,0.00040433733,0.6881689,0.00009758321,0.00002827346,0.00011976425,0.0004356575,0.00035263717,0.0042983363],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999764,0.000043871565,0.000010143111,0.000037474772,0.00011851312,0.000026009657],"domain_scores_gemma":[0.99981123,0.00005268498,0.000015524465,0.000035536465,0.0000688824,0.000016219214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029034016,0.00038431093,0.00031079593,0.0003080877,0.0000985409,0.0005058183,0.0004962835,0.0002737731,0.0028596052],"category_scores_gemma":[0.00063825975,0.00022041504,0.00021952303,0.0004387067,0.00015720555,0.00042461132,0.00046641484,0.00034540842,0.00064258755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000548061,0.00005966785,0.0016292625,0.0002694294,0.00006371436,0.00033168177,0.00022643572,0.03617151,0.6460371,0.0073397965,0.006758301,0.3005651],"study_design_scores_gemma":[0.00005134236,0.00017339172,0.0021416002,0.000018448329,0.000023660577,0.00045499371,0.000028653882,0.8699051,0.10924106,0.0018132495,0.01611244,0.000036082474],"about_ca_topic_score_codex":0.0021454163,"about_ca_topic_score_gemma":0.0024250906,"teacher_disagreement_score":0.0028596052,"about_ca_system_score_codex":0.0002799581,"about_ca_system_score_gemma":0.00045545766,"threshold_uncertainty_score":0.009566307},"labels":[],"label_agreement":null},{"id":"W4310521159","doi":"10.1109/ius54386.2022.9958226","title":"Ultrathin, High Sensitivity Polymer-based Capacitive Micromachined Ultrasound Transducers (polyCMUTs) for Acoustic Emission Sensing in Fiber Reinforced Polymers","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Ultrasonics Symposium (IUS)","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Materials science; Acoustic emission; Transducer; Capacitive sensing; Fabrication; Bandwidth (computing); Capacitive micromachined ultrasonic transducers; Piezoelectricity; Acoustic impedance; Electrical impedance; Optoelectronics; Ultrasonic sensor; Polymer; Acoustics; Computer science; Electrical engineering; Composite material; Engineering; Telecommunications","score_opus":0.00709299082483912,"score_gpt":0.21518724390908978,"score_spread":0.20809425308425067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310521159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8513705,0.0088370945,0.12970467,0.0004380467,0.00053191744,0.00021190959,0.00046609886,0.0010301528,0.007409553],"genre_scores_gemma":[0.8947455,0.0020422998,0.09760682,0.0001187146,0.00007700002,0.00012066945,0.00012831225,0.000052869735,0.005107807],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997874,0.00001836679,0.00001115964,0.000063389634,0.00009645019,0.000023209454],"domain_scores_gemma":[0.99979097,0.000057298996,0.00008051069,0.000022956336,0.000025682235,0.000022648981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015797507,0.00043922555,0.00017186807,0.00027608656,0.00017042043,0.00036845246,0.00033635358,0.00036642514,0.0012140741],"category_scores_gemma":[0.00040127785,0.00024429313,0.00012132015,0.00026402454,0.00036592036,0.00045831155,0.00034759342,0.00053502014,0.00044838505],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018777073,0.0000068607906,0.00008762854,0.000059107824,0.0000015710865,0.000047273857,0.00002150225,0.00012033653,0.99597955,0.00022411802,0.00007335695,0.0033599401],"study_design_scores_gemma":[0.0000036280012,0.00012422493,0.00092852255,0.000008345449,0.0000050670687,0.00014152283,0.000021376476,0.0013492786,0.9935741,0.00005769739,0.003775433,0.000010771559],"about_ca_topic_score_codex":0.00023755328,"about_ca_topic_score_gemma":0.0008769338,"teacher_disagreement_score":0.0012140741,"about_ca_system_score_codex":0.00026470658,"about_ca_system_score_gemma":0.00016887274,"threshold_uncertainty_score":0.00406152},"labels":[],"label_agreement":null},{"id":"W4310584092","doi":"10.1109/ius54386.2022.9958166","title":"Optimized Transmission Electrical Broadband Impedance Matching for PolyCMUT","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Ultrasonics Symposium (IUS)","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Impedance matching; Bandwidth (computing); Electronic engineering; Broadband; Ringing; Chebyshev filter; Computer science; Electrical impedance; Electronic circuit; Electrical engineering; Filter (signal processing); Engineering; Telecommunications","score_opus":0.008038783439497595,"score_gpt":0.2311006324373613,"score_spread":0.2230618489978637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310584092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64463323,0.0010349917,0.3200343,0.00077080226,0.0003298817,0.00020549425,0.00044614953,0.0017301496,0.030814976],"genre_scores_gemma":[0.9303491,0.00022454781,0.065283455,0.0001003653,0.000032377695,0.000078334495,0.0001220652,0.00012360999,0.0036861415],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997515,0.000038022677,0.000012973098,0.0000632959,0.00009599955,0.000038062262],"domain_scores_gemma":[0.9997032,0.000058814643,0.0001466524,0.000034088327,0.00004224419,0.000014902046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020422398,0.0005840153,0.00028222587,0.00036505595,0.00027811766,0.0011165496,0.0005949507,0.0007130774,0.002085747],"category_scores_gemma":[0.0007668962,0.00020966468,0.00018152848,0.00087349373,0.00031264054,0.0008107785,0.00040814778,0.00030529537,0.0006341164],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002525197,0.000094535266,0.0007254172,0.0002445076,0.00002386636,0.00019733417,0.000114795745,0.013296939,0.93511647,0.020003337,0.0015420028,0.028388333],"study_design_scores_gemma":[0.000088535904,0.000530136,0.0011778045,0.000057835074,0.00004719776,0.00027105658,0.0000649272,0.10330969,0.877375,0.0026864586,0.01435514,0.000036214984],"about_ca_topic_score_codex":0.00054113974,"about_ca_topic_score_gemma":0.0012886965,"teacher_disagreement_score":0.002085747,"about_ca_system_score_codex":0.0011377633,"about_ca_system_score_gemma":0.0004514526,"threshold_uncertainty_score":0.0082550645},"labels":[],"label_agreement":null},{"id":"W4310584106","doi":"10.1109/ius54386.2022.9958313","title":"Transformer-Based Microbubble Localization","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Ultrasonics Symposium (IUS)","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence; Transformer; Computer vision; Pattern recognition (psychology); Voltage; Engineering","score_opus":0.007365042255293058,"score_gpt":0.2107553961187561,"score_spread":0.20339035386346305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310584106","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013332743,0.00026416194,0.98224545,0.000105946856,0.000055075325,0.000053831634,0.00008705481,0.0027466782,0.0011091214],"genre_scores_gemma":[0.5713888,0.0006173449,0.4193753,0.00037962128,0.00006960112,0.0001439377,0.00077923207,0.00032116484,0.0069250315],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995524,0.000079945035,0.00001985294,0.00012114091,0.00016415316,0.000062398154],"domain_scores_gemma":[0.99946123,0.00015785961,0.00005711193,0.00008927792,0.00018879959,0.000045712077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063393847,0.0008220217,0.00082092104,0.0009519477,0.00029913455,0.00069345476,0.0015427456,0.0009199787,0.0022330235],"category_scores_gemma":[0.0024478831,0.00023816673,0.0004482327,0.00061950355,0.00053956883,0.0012581337,0.0013182686,0.00084663305,0.0017687161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006343998,0.0001716134,0.0019239697,0.00020290854,0.000077299126,0.00018254027,0.00008619715,0.1473178,0.110525146,0.0077990144,0.005421982,0.72565705],"study_design_scores_gemma":[0.000016650783,0.00011135804,0.00030045919,0.0000076585675,0.000017240423,0.00014239759,0.000015653975,0.93969125,0.055348624,0.0023292538,0.0020054774,0.00001392826],"about_ca_topic_score_codex":0.00258441,"about_ca_topic_score_gemma":0.0023623246,"teacher_disagreement_score":0.00258441,"about_ca_system_score_codex":0.00065750914,"about_ca_system_score_gemma":0.0006895176,"threshold_uncertainty_score":0.00747025},"labels":[],"label_agreement":null},{"id":"W4310584192","doi":"10.1109/ius54386.2022.9957428","title":"Influence of 3D printing parameters on acoustic properties of metamaterials","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Ultrasonics Symposium (IUS)","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Metamaterial; Acoustics; Materials science; 3D printing; Wavefront; Acoustic wave; Transmission (telecommunications); Power transmission; Power (physics); Computer science; Optoelectronics; Optics; Physics; Telecommunications; Composite material","score_opus":0.020817313524382364,"score_gpt":0.2418252883442906,"score_spread":0.22100797481990822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310584192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860363,0.0017790415,0.0066795195,0.000109322384,0.00011250946,0.000023348957,0.00032596572,0.0001996903,0.0047343955],"genre_scores_gemma":[0.995968,0.00063964416,0.0025357753,0.000035940255,0.0000136521585,0.000019417697,0.00009188104,0.00012626308,0.00056942936],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99950814,0.000085422354,0.00006912042,0.00010437838,0.00017297047,0.00005988849],"domain_scores_gemma":[0.99669915,0.0020699394,0.00046450703,0.00039698236,0.0002966685,0.0000728147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004783652,0.0006683892,0.00039622997,0.0004246439,0.00024471345,0.0008976721,0.00033771145,0.00048105873,0.0020870047],"category_scores_gemma":[0.0028613708,0.00045981363,0.00028723667,0.000542835,0.00039597793,0.00070339034,0.00037673753,0.00058520853,0.00061611016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022965857,0.000046858633,0.0005681644,0.00014853547,0.000019752893,0.00023585215,0.000102204314,0.0030008208,0.9899845,0.0002373547,0.00012946465,0.0052968673],"study_design_scores_gemma":[0.000008740231,0.000062124614,0.00143294,0.000007055451,0.000023270304,0.000086378896,0.000033421882,0.0031548247,0.99448556,0.00006318681,0.0006227018,0.00001973065],"about_ca_topic_score_codex":0.0003284834,"about_ca_topic_score_gemma":0.00036806698,"teacher_disagreement_score":0.0020870047,"about_ca_system_score_codex":0.00024091193,"about_ca_system_score_gemma":0.00017815661,"threshold_uncertainty_score":0.006981671},"labels":[],"label_agreement":null},{"id":"W4310584361","doi":"10.1109/ius54386.2022.9958162","title":"Accurate Location of Key Features in Ultrasonic-based Spot Weld Inspection","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Ultrasonics Symposium (IUS)","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Windsor Clinical Research","funders":"","keywords":"Welding; Ultrasonic sensor; Spot welding; Computer science; Signal processing; Algorithm; Artificial intelligence; Engineering; Acoustics; Mechanical engineering; Physics; Computer hardware; Digital signal processing","score_opus":0.007900626293546788,"score_gpt":0.22399351160538888,"score_spread":0.2160928853118421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310584361","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31042895,0.0016272881,0.6789673,0.00013301076,0.00011049338,0.00014619608,0.00042475248,0.002513401,0.005648609],"genre_scores_gemma":[0.83404845,0.00064330205,0.16150507,0.000038999453,0.00003266479,0.00007076113,0.00030633176,0.00011285027,0.003241554],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99964094,0.000035889356,0.000013467148,0.00008274811,0.00020387012,0.000023024713],"domain_scores_gemma":[0.9996152,0.00010866386,0.000081181366,0.00006087804,0.000111028145,0.00002304908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024601226,0.0003729805,0.00034473962,0.00077068305,0.00016378533,0.00053281354,0.0010412992,0.00088258536,0.0012466147],"category_scores_gemma":[0.0013084873,0.00029226925,0.000098781085,0.00072434073,0.00034592545,0.0008179173,0.00058672176,0.0003260958,0.0011891848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037648945,0.00003309439,0.0022312868,0.00026813245,0.000008020086,0.00035378893,0.00015188544,0.0073497947,0.8333391,0.0014003456,0.0012982805,0.15318981],"study_design_scores_gemma":[0.00003297924,0.0005218036,0.023860479,0.0000481584,0.00004844122,0.0015001154,0.00017045034,0.17065558,0.79531354,0.0014880056,0.0062959245,0.00006443555],"about_ca_topic_score_codex":0.00071968045,"about_ca_topic_score_gemma":0.00094683166,"teacher_disagreement_score":0.0012466147,"about_ca_system_score_codex":0.0002759847,"about_ca_system_score_gemma":0.00021314286,"threshold_uncertainty_score":0.0041702986},"labels":[],"label_agreement":null},{"id":"W4310584371","doi":"10.1109/ius54386.2022.9958236","title":"In Vivo Super Resolution Ultrasound Imaging using the Erythrocytes - SURE","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Ultrasonics Symposium (IUS)","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Compute Canada","funders":"H2020 European Research Council","keywords":"In vivo; Ultrasound; Resolution (logic); Ultrasonic imaging; Ultrasound imaging; Computer science; Image resolution; Preclinical imaging; Superresolution; Biomedical engineering; Computer vision; Artificial intelligence; Radiology; Medicine; Image (mathematics); Biology","score_opus":0.012868120951107934,"score_gpt":0.2713899400729725,"score_spread":0.25852181912186456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310584371","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43905625,0.0009330116,0.5554553,0.00018944543,0.00003468301,0.0001966096,0.0004782192,0.0011308297,0.0025256164],"genre_scores_gemma":[0.42311957,0.00089353614,0.5703608,0.000100164056,0.000018453436,0.00022721992,0.00043574456,0.0001349402,0.0047096107],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998385,0.000034815064,0.00000849544,0.000052150677,0.00004234559,0.00002375517],"domain_scores_gemma":[0.99987197,0.000039438564,0.000025840427,0.000026258445,0.000017665185,0.000018805138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005256467,0.0003288851,0.00025471215,0.00028182575,0.00009946107,0.00022846747,0.0003215668,0.0003572195,0.0012769586],"category_scores_gemma":[0.00028322454,0.0003011149,0.00019834054,0.00022478042,0.00022774473,0.0003995251,0.00041325108,0.00038507083,0.0003161875],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007773303,0.000012671803,0.00015582728,0.000028470991,0.000004159168,0.00004476233,0.000018028426,0.0004148967,0.9937563,0.00030112814,0.00006355691,0.0051225554],"study_design_scores_gemma":[0.00001481561,0.00042170522,0.0035086647,0.0000074678524,0.000015050903,0.0005528821,0.0000132682335,0.013915928,0.9785638,0.00020825336,0.002759201,0.000019000267],"about_ca_topic_score_codex":0.00037272295,"about_ca_topic_score_gemma":0.00062832097,"teacher_disagreement_score":0.0012769586,"about_ca_system_score_codex":0.000140737,"about_ca_system_score_gemma":0.00022839995,"threshold_uncertainty_score":0.004271865},"labels":[],"label_agreement":null},{"id":"W4310584541","doi":"10.1109/ius54386.2022.9958260","title":"Detection of Hematoma Boundaries in Transcranial Ultrasound Brain Imaging via Envelope Reconstruction on Resonance-based Signal Decomposition","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Ultrasonics Symposium (IUS)","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Windsor Clinical Research","funders":"","keywords":"Transcranial Doppler; Computer science; Neuroimaging; Ultrasound; Magnetic resonance imaging; SIGNAL (programming language); Medicine; Medical physics; Computer vision; Radiology","score_opus":0.00505261448835857,"score_gpt":0.2169558213413442,"score_spread":0.21190320685298564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310584541","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11231607,0.00048347877,0.8850594,0.00009823938,0.000030563737,0.00008329012,0.000066083245,0.00056609954,0.0012968719],"genre_scores_gemma":[0.43677694,0.0007626996,0.5604753,0.00009029481,0.000028887875,0.00007343135,0.00018336868,0.00012194281,0.0014871637],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997676,0.000057965928,0.000016013662,0.000033409797,0.00009198815,0.0000330742],"domain_scores_gemma":[0.9996687,0.00012945385,0.000045519086,0.00003965553,0.00009187762,0.000024770563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039369924,0.00046465418,0.0002988965,0.00095738424,0.00014333434,0.0006190063,0.000329009,0.0005143581,0.00086992385],"category_scores_gemma":[0.0015210942,0.0002348665,0.00036045807,0.0005013838,0.00028572243,0.00075109553,0.00063560664,0.00042050486,0.0005543882],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007032008,0.000097660915,0.0037661907,0.00024821114,0.000040222323,0.00097236526,0.00031139122,0.013534058,0.38909954,0.0031258601,0.0011975379,0.58690375],"study_design_scores_gemma":[0.000046593796,0.00034144518,0.01605881,0.000075090975,0.000076873024,0.00467246,0.00025726814,0.7186913,0.25028926,0.0052485983,0.004160741,0.0000814811],"about_ca_topic_score_codex":0.00044366784,"about_ca_topic_score_gemma":0.0007394112,"teacher_disagreement_score":0.00095738424,"about_ca_system_score_codex":0.00013047871,"about_ca_system_score_gemma":0.00030648988,"threshold_uncertainty_score":0.0029101968},"labels":[],"label_agreement":null},{"id":"W4310585037","doi":"10.1109/ius54386.2022.9957587","title":"Metallurgical AuSn Bonding of Piezoelectric Layers","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Ultrasonics Symposium (IUS)","topic":"Electronic Packaging and Soldering Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute of Ukranian Studies, University of Alberta; Norges Forskningsråd","keywords":"Materials science; Scanning acoustic microscope; Acoustic microscopy; Soldering; Composite material; Eutectic system; Piezoelectricity; Acoustic impedance; Optical microscope; Stack (abstract data type); Electrical impedance; Transducer; Scanning electron microscope; Delamination (geology); Electrical conductor; Microscopy; Acoustics; Microstructure; Optics; Electrical engineering","score_opus":0.01068378470319638,"score_gpt":0.22726735946548368,"score_spread":0.2165835747622873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310585037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91973794,0.0025041164,0.065412104,0.00019471071,0.00026494017,0.00011723184,0.000106656655,0.00048284244,0.01117952],"genre_scores_gemma":[0.9441462,0.0008108906,0.047494054,0.00006419442,0.000039666622,0.000055066823,0.00009118378,0.000067933506,0.0072308467],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99970466,0.00002963887,0.000018693554,0.00007338252,0.00014699597,0.000026662356],"domain_scores_gemma":[0.999853,0.00002466106,0.000051497027,0.000025860743,0.000035012483,0.0000099629715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000179883,0.00035455025,0.00022138325,0.00015468385,0.00019011198,0.00021043916,0.0003970327,0.0002563034,0.0015160721],"category_scores_gemma":[0.00038979723,0.00023394036,0.00011903606,0.000118944154,0.00018576237,0.00038312792,0.00047502655,0.00034157137,0.00043833462],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001077048,0.000008211842,0.00016468856,0.0000725419,0.0000035925004,0.00007223249,0.000049418726,0.00013537497,0.99256164,0.00037495332,0.00009385784,0.0064527243],"study_design_scores_gemma":[0.0000029395428,0.00013056949,0.0013487999,0.0000070415563,0.0000068404975,0.00025214054,0.000042125423,0.0013227281,0.98991233,0.00008816274,0.0068810773,0.0000052045316],"about_ca_topic_score_codex":0.00026551442,"about_ca_topic_score_gemma":0.00088428403,"teacher_disagreement_score":0.0015160721,"about_ca_system_score_codex":0.00022131212,"about_ca_system_score_gemma":0.00016693986,"threshold_uncertainty_score":0.005071759},"labels":[],"label_agreement":null},{"id":"W4310585417","doi":"10.1109/ius54386.2022.9957153","title":"Evaluation of Piezoelectric Ceramics for use in Miniature Histotripsy Transducers","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Ultrasonics Symposium (IUS)","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Materials science; Transducer; Parylene; Ceramic; Piezoelectricity; Voltage; Composite material; Cavitation; Electrical impedance; Acoustics; Epoxy; Electrical engineering; Polymer","score_opus":0.02797134076581463,"score_gpt":0.29189070710812265,"score_spread":0.263919366342308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310585417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9804504,0.0025433295,0.0151323825,0.00014870282,0.000077472025,0.0002471475,0.00013292769,0.00013230216,0.0011353389],"genre_scores_gemma":[0.96024567,0.0014037474,0.036788505,0.000063216205,0.000027880531,0.00012569765,0.00017332072,0.00004064175,0.0011312806],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991041,0.000113515904,0.00007871878,0.00015012808,0.00045840544,0.00009508274],"domain_scores_gemma":[0.99847776,0.00056151324,0.0003425287,0.0000957412,0.00035428416,0.00016825424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012502857,0.00049772987,0.00031657904,0.00061778445,0.00019627264,0.0003865871,0.0004379974,0.00048483195,0.00097102317],"category_scores_gemma":[0.0028461828,0.00035159374,0.0002935438,0.000374799,0.0004886341,0.00038710487,0.0003940798,0.0002925818,0.00020651422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012370716,0.00003495572,0.00070417504,0.00013183824,0.00000830618,0.000109915934,0.000045797675,0.0002740846,0.9935516,0.000044770786,0.00004180692,0.0049290983],"study_design_scores_gemma":[0.00003369506,0.0031675962,0.008714043,0.000022393817,0.00009979691,0.00077474705,0.00014048141,0.0016968419,0.98213,0.00003239468,0.0031655424,0.000022490147],"about_ca_topic_score_codex":0.0004552443,"about_ca_topic_score_gemma":0.00086942705,"teacher_disagreement_score":0.0012502857,"about_ca_system_score_codex":0.00032703322,"about_ca_system_score_gemma":0.00035925824,"threshold_uncertainty_score":0.0066121817},"labels":[],"label_agreement":null}]}