{"meta":{"query_hash":"3845340682bb","filters":{"venue":"Measurement Science and Technology"},"cohort_total":216,"direct_labels_cover":0,"predictions_cover":216,"exported":216,"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/3845340682bb","api":"https://metacan.xera.ac/api/v1/cohort?venue=Measurement+Science+and+Technology"},"results":[{"id":"W1510952876","doi":"10.1088/0957-0233/26/6/065604","title":"A framework with nonlinear system model and nonparametric noise for gas turbine degradation state estimation","year":2015,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Life Prediction Technologies (Canada); Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nonparametric statistics; Nonlinear system; Degradation (telecommunications); Gas turbines; Noise (video); Estimation; State (computer science); Turbine; Computer science; Environmental science; Control theory (sociology); Mathematics; Econometrics; Algorithm; Physics; Artificial intelligence; Engineering; Thermodynamics; Telecommunications; Mechanical engineering","score_opus":0.022581849544307534,"score_gpt":0.22769754798175376,"score_spread":0.20511569843744623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1510952876","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4761347,0.00032996287,0.52270865,0.00018950913,0.000074023184,0.00028041733,0.0000050678655,0.00023673665,0.000040926236],"genre_scores_gemma":[0.90620416,0.000028101844,0.09369844,0.0000041092944,0.000004880009,0.000051012004,0.0000011319845,0.0000070200363,0.000001159108],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912053,0.000002236378,0.00011605917,0.00018948528,0.00038332227,0.0001883656],"domain_scores_gemma":[0.999185,0.000023667975,0.00002210489,0.00015403902,0.0005387181,0.00007644693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093087147,0.00009433334,0.00011315572,0.00031248204,0.00007116189,0.00003900124,0.00008846939,0.00006612328,6.219673e-8],"category_scores_gemma":[0.0008171733,0.000073926894,0.0000051848874,0.0007704704,0.00016192686,0.00010588397,0.000020863788,0.000091706395,8.3009917e-7],"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":[0.000018027898,0.000047206773,0.0020702917,0.00038635315,0.000019941817,0.000001716983,0.00012431234,0.96052754,0.0057511777,0.0058835894,0.000101374135,0.025068453],"study_design_scores_gemma":[0.00026397963,0.00012252419,0.00013798647,0.00006920159,0.000013914466,0.000005977081,0.00004167449,0.9925259,0.0048868577,0.0017634928,0.00006920059,0.00009928804],"about_ca_topic_score_codex":0.0000036476947,"about_ca_topic_score_gemma":0.0000051565103,"teacher_disagreement_score":0.43006945,"about_ca_system_score_codex":0.0001907531,"about_ca_system_score_gemma":0.00008030126,"threshold_uncertainty_score":0.30146512},"labels":[],"label_agreement":null},{"id":"W1575021650","doi":"10.1088/0957-0233/13/4/302","title":"An apparatus to study the vortex ring structure generated by a bursting bubble","year":2002,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":2,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bubble; Vortex ring; Mechanics; Bursting; Vortex; Surface tension; Flow visualization; Cylinder; Materials science; Maximum bubble pressure method; Laplace pressure; Regular polygon; Optics; Physics; Flow (mathematics); Geometry; Thermodynamics; Mathematics","score_opus":0.022510959461905393,"score_gpt":0.21906518796558502,"score_spread":0.19655422850367962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1575021650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99564445,0.00062680506,0.0022508132,0.00043714468,0.000113445414,0.00031889137,0.0000027704261,0.00024232008,0.00036334395],"genre_scores_gemma":[0.99963206,0.000016324271,0.00024665403,0.00004913997,0.000014872165,0.000024480521,2.2274261e-7,0.000010354148,0.000005893596],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873155,0.000008718384,0.00012791413,0.0002716995,0.0005209403,0.00033920337],"domain_scores_gemma":[0.99943197,0.0000028783147,0.0000061951278,0.00028839175,0.00019876393,0.00007177836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059916754,0.00011666283,0.00010489232,0.00018549185,0.00033888768,0.000091597714,0.00036028857,0.000054657983,0.000016915892],"category_scores_gemma":[0.00003532982,0.00008515961,0.0000062933755,0.0011554164,0.00012970051,0.00010063598,0.000029690136,0.00016518697,0.0000048304623],"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":[8.259479e-7,0.000045830802,0.0026162271,0.000003615502,0.00001453214,0.000002616288,0.00040751824,0.0017675267,0.97957456,0.0006679384,0.00023225068,0.0146665275],"study_design_scores_gemma":[0.0009817525,0.00078254053,0.0076524164,0.000026029995,0.000056073495,0.000030112691,0.0017763976,0.8305239,0.15380484,0.0006641429,0.003023296,0.00067847245],"about_ca_topic_score_codex":0.000017706967,"about_ca_topic_score_gemma":0.00013595638,"teacher_disagreement_score":0.8287564,"about_ca_system_score_codex":0.000088556204,"about_ca_system_score_gemma":0.000012934292,"threshold_uncertainty_score":0.34727082},"labels":[],"label_agreement":null},{"id":"W1964023629","doi":"10.1088/0957-0233/13/12/319","title":"Sensitivity of thermal-wave interferometry to thermal properties of coatings: application to thermal barrier coatings","year":2002,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","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":"National Research Council Canada","funders":"","keywords":"Materials science; Interferometry; Thermal; Thermal barrier coating; Sensitivity (control systems); Cubic zirconia; Yttrium; Characterization (materials science); Composite material; Optics; Coating; Electronic engineering; Nanotechnology; Thermodynamics; Ceramic; Metallurgy; Physics","score_opus":0.024917910304436186,"score_gpt":0.20283578631294974,"score_spread":0.17791787600851355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964023629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875655,0.00017301348,0.010908734,0.00020258388,0.00004523525,0.00048443791,0.000020651138,0.00022246248,0.00037735654],"genre_scores_gemma":[0.9991484,0.0000016656269,0.0006257866,0.00006368459,0.000008299711,0.00013638791,1.2328131e-7,0.000012469395,0.000003182623],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986381,0.000032897784,0.00024051816,0.00023203205,0.00060613925,0.0002503259],"domain_scores_gemma":[0.99917537,0.000011757981,0.00007016202,0.00029133272,0.00039598765,0.000055389173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016911717,0.0001274458,0.000201729,0.00059627614,0.00015030558,0.000010616941,0.00025308251,0.000056540626,0.0000067153537],"category_scores_gemma":[0.00013905014,0.00011400313,0.000024391018,0.0013163409,0.00030578283,0.00006598864,0.00017919135,0.00015469594,8.8965515e-7],"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":[0.000010247202,0.000036610654,0.00070459617,0.00003413442,0.000007906504,5.506346e-7,0.0009398169,0.000693789,0.96651185,0.00009281096,0.000031803465,0.030935887],"study_design_scores_gemma":[0.000082726634,0.00023083149,0.0011028348,0.000054785665,0.00000982109,0.000006458828,0.0004714617,0.00528581,0.99251026,0.0000464302,0.000068003734,0.00013060018],"about_ca_topic_score_codex":0.00004084092,"about_ca_topic_score_gemma":0.0000075187727,"teacher_disagreement_score":0.030805286,"about_ca_system_score_codex":0.00008215297,"about_ca_system_score_gemma":0.000021618474,"threshold_uncertainty_score":0.46489128},"labels":[],"label_agreement":null},{"id":"W1964251546","doi":"10.1088/0957-0233/22/9/094017","title":"Atomic force microscope cantilevers as encoders for real-time forward and backward displacement measurements","year":2011,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":4,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cantilever; Grating; Encoder; Displacement (psychology); Offset (computer science); Decoding methods; Optics; Physics; Computer science; Microscope; Acoustics; Algorithm; Materials science","score_opus":0.028449540016392633,"score_gpt":0.27343860499769385,"score_spread":0.2449890649813012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964251546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9523562,0.00012899873,0.025866602,0.0010859898,0.00011937208,0.0023497567,0.000046913938,0.0002619013,0.017784243],"genre_scores_gemma":[0.9889752,0.000032711378,0.010217476,0.00005132833,0.000014458765,0.00037130236,0.0000039690785,0.000017878425,0.00031562804],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982012,0.000008882496,0.00024436467,0.00057046313,0.00045953275,0.00051554095],"domain_scores_gemma":[0.99887586,0.000009227867,0.0001237303,0.00034530414,0.0005223316,0.00012356088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001113565,0.00020865384,0.00021722716,0.00024642964,0.0005553406,0.00006018154,0.00037300383,0.00006874858,0.00008256669],"category_scores_gemma":[0.000035326884,0.00019171064,0.000037023467,0.00043883495,0.0008179804,0.00018239277,0.00016050013,0.00009151338,0.000018346303],"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":[0.000029137222,0.00009430504,0.0121317245,0.000019212634,0.0000418827,1.8837264e-7,0.00020549494,3.9214987e-7,0.94654477,0.029378328,0.001420068,0.010134483],"study_design_scores_gemma":[0.0008874432,0.00035557075,0.00062838837,0.00006261654,0.000076601136,0.0000026584385,0.0005611879,0.00033347716,0.96506,0.024418822,0.0072286297,0.00038460296],"about_ca_topic_score_codex":0.00048596534,"about_ca_topic_score_gemma":0.000021609287,"teacher_disagreement_score":0.036619026,"about_ca_system_score_codex":0.00015227731,"about_ca_system_score_gemma":0.0002745622,"threshold_uncertainty_score":0.7817733},"labels":[],"label_agreement":null},{"id":"W1966889561","doi":"10.1088/0957-0233/20/8/084003","title":"Design of a large measurement-volume metrological atomic force microscope (AFM)","year":2009,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Metrology; Astronomical interferometer; Atomic force microscopy; Position (finance); Translation (biology); Measure (data warehouse); Microscope; Volume (thermodynamics); Dimensional metrology; Materials science; Optics; Sample (material); Interferometry; Nanotechnology; Physics; Computer science; Chemistry; Data mining","score_opus":0.026693277093661615,"score_gpt":0.27742516341965306,"score_spread":0.25073188632599147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966889561","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28132153,0.0007620312,0.7089849,0.0034940387,0.000062985964,0.001232241,0.000016356336,0.00029702575,0.0038289125],"genre_scores_gemma":[0.9908049,0.0000099216,0.008978485,0.00009400095,0.000014472032,0.000058650858,8.576661e-7,0.000006257626,0.00003241361],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979948,0.00002135392,0.00028454178,0.00043210151,0.0007794372,0.0004877736],"domain_scores_gemma":[0.99847806,0.0000051322218,0.00014584087,0.0003826302,0.0009177721,0.00007056723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002528489,0.00016526318,0.0002493469,0.00030545055,0.00033783255,0.0000399464,0.00052308536,0.000078574165,0.00005281298],"category_scores_gemma":[0.00005847843,0.00014156064,0.000036739337,0.0010890947,0.0005643364,0.00012975905,0.00009932292,0.00015616887,0.000011465163],"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":[0.000008035297,0.00016114839,0.002345166,0.0000029437274,0.000009259168,2.0720888e-7,0.000021702956,0.000002835938,0.9348564,0.053882297,0.0006856216,0.008024365],"study_design_scores_gemma":[0.0006314825,0.00056994264,0.001770352,0.000042529806,0.00003837897,0.00000296091,0.00013753789,0.00095617224,0.93983644,0.04995603,0.005789687,0.00026846194],"about_ca_topic_score_codex":0.000016908916,"about_ca_topic_score_gemma":0.0000011311978,"teacher_disagreement_score":0.70948344,"about_ca_system_score_codex":0.00013530819,"about_ca_system_score_gemma":0.00025676028,"threshold_uncertainty_score":0.5772675},"labels":[],"label_agreement":null},{"id":"W1968191004","doi":"10.1088/0957-0233/20/5/055203","title":"Hybrid extended particle filter (HEPF) for integrated inertial navigation and global positioning systems","year":2009,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":27,"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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Else Kröner-Fresenius-Stiftung","keywords":"Extended Kalman filter; Inertial navigation system; Global Positioning System; Particle filter; GPS/INS; Computer science; Kalman filter; Control theory (sociology); Navigation system; Nonlinear system; Divergence (linguistics); Filter (signal processing); Noise (video); Inertial measurement unit; Inertial frame of reference; Real-time computing; Assisted GPS; Artificial intelligence; Physics; Telecommunications; Computer vision","score_opus":0.021125499546701555,"score_gpt":0.25111312071829633,"score_spread":0.22998762117159477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968191004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5198157,0.00071950065,0.47346225,0.0045708944,0.00046715,0.00037622487,0.000008683862,0.0004236253,0.00015599807],"genre_scores_gemma":[0.99122727,0.0000103828725,0.008567615,0.0001414048,0.000026510721,0.000018195156,0.0000025520349,0.0000018698938,0.00000419023],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851596,0.000019517418,0.00018902405,0.00044355914,0.0005105595,0.00032139494],"domain_scores_gemma":[0.99893343,0.000012529576,0.000065617794,0.00027321058,0.0006404838,0.00007473388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011372596,0.000101803154,0.000118285374,0.00009953779,0.00043525675,0.00030699544,0.00038478363,0.00005414274,6.324601e-7],"category_scores_gemma":[0.00021272434,0.00008535821,0.000011051592,0.0007228033,0.00025913175,0.00046843864,0.00009037785,0.00008312619,0.0000017963365],"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":[0.000031855358,0.00013439487,0.0020813395,0.000019109388,0.000011804487,0.000016028094,0.00009422693,0.00010700599,0.19113366,0.37259933,0.002263449,0.4315078],"study_design_scores_gemma":[0.002235831,0.0015986089,0.011092804,0.0003882995,0.000038033766,0.00061123894,0.00029224617,0.76119655,0.15559116,0.05774821,0.0084303925,0.00077659916],"about_ca_topic_score_codex":0.000014261492,"about_ca_topic_score_gemma":0.0000015579761,"teacher_disagreement_score":0.76108956,"about_ca_system_score_codex":0.00010438695,"about_ca_system_score_gemma":0.00008309232,"threshold_uncertainty_score":0.34808066},"labels":[],"label_agreement":null},{"id":"W1969410564","doi":"10.1088/0957-0233/15/2/n03","title":"Ultrasonic imaging in molten magnesium","year":2004,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Ultrasonic sensor; Magnesium; Materials science; Acoustics; Ultrasonic imaging; Metallurgy; Physics","score_opus":0.007866119586623843,"score_gpt":0.18076484873978485,"score_spread":0.172898729153161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969410564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99181825,0.0027116742,0.00040585152,0.0018149697,0.00019974975,0.00015909497,4.23314e-7,0.00041608905,0.0024739206],"genre_scores_gemma":[0.9992149,0.000027974063,0.00069240737,0.00003141849,0.000007638916,0.0000139809945,6.5211815e-8,0.0000087087155,0.0000029412322],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99894917,0.0000023795526,0.0001157426,0.00020559927,0.0003894461,0.00033764358],"domain_scores_gemma":[0.99963766,0.0000014535298,0.000010830272,0.00016536521,0.00015471347,0.000029987306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057797314,0.000097402226,0.00008913732,0.00043769978,0.00007746702,0.000033019453,0.0002592079,0.000042189917,0.0000044616336],"category_scores_gemma":[0.0001238519,0.00008631855,0.000006269049,0.0008369197,0.0005514433,0.00019766706,0.000049104056,0.00012850018,0.000010656581],"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":[8.825968e-7,0.00000616736,0.007702358,0.000013997146,0.000001109795,0.0000072793405,0.00011597689,0.00039632616,0.97974455,0.0011519358,0.000011088232,0.010848307],"study_design_scores_gemma":[0.0008742835,0.00005008008,0.02205956,0.0000619233,0.000008372591,0.00014027917,0.00072357873,0.0012988291,0.9625101,0.010517534,0.00136581,0.0003896635],"about_ca_topic_score_codex":0.000022392223,"about_ca_topic_score_gemma":0.00009804681,"teacher_disagreement_score":0.017234486,"about_ca_system_score_codex":0.00043324102,"about_ca_system_score_gemma":0.00010680532,"threshold_uncertainty_score":0.3519968},"labels":[],"label_agreement":null},{"id":"W1974872404","doi":"10.1088/0957-0233/20/3/034007","title":"Non-uniform-tilt-modulated fiber Bragg grating for temperature-immune micro-displacement measurement","year":2009,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Materials science; Optics; Fiber Bragg grating; Cladding (metalworking); Tilt (camera); Cantilever; Cladding mode; Displacement (psychology); Fiber optic sensor; Optical fiber; Polarization-maintaining optical fiber; Physics","score_opus":0.015120585041927327,"score_gpt":0.22682753822258958,"score_spread":0.21170695318066227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974872404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97122705,0.0026524016,0.013485166,0.0040060277,0.0008557174,0.002847,0.000012638192,0.0016172678,0.0032967366],"genre_scores_gemma":[0.9864939,0.000040514675,0.013180227,0.000090179514,0.000033511507,0.00007953938,0.0000020800164,0.000026907463,0.000053163756],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969297,0.000006506331,0.00043285033,0.00053204887,0.0013028493,0.00079605944],"domain_scores_gemma":[0.9980404,0.000009685625,0.000079065896,0.0005164105,0.0012430395,0.00011140728],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019771988,0.00032042048,0.0003214946,0.00053585623,0.00044529056,0.000084005376,0.00044768341,0.00018917384,0.000010275696],"category_scores_gemma":[0.0003698396,0.00029621585,0.00004513544,0.0012530539,0.00033222398,0.00028362565,0.00005641991,0.0002685593,0.000012552878],"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":[0.000010830943,0.00003860401,0.000039107697,0.000030185733,0.000024322302,0.0000022468014,0.000080447724,0.0017529048,0.9810415,0.00033614322,0.00034562033,0.016298091],"study_design_scores_gemma":[0.0013117772,0.00038918696,0.001105682,0.00017372755,0.00003971411,0.000028625856,0.0002970934,0.013903884,0.97487444,0.0014736027,0.0058532464,0.0005490262],"about_ca_topic_score_codex":0.0000028087197,"about_ca_topic_score_gemma":0.000010682033,"teacher_disagreement_score":0.015749065,"about_ca_system_score_codex":0.000797893,"about_ca_system_score_gemma":0.00013272918,"threshold_uncertainty_score":0.999949},"labels":[],"label_agreement":null},{"id":"W1977209171","doi":"10.1088/0957-0233/20/10/105801","title":"Measurement of low concentration and nano-quantity hydrogen sulfide in sera using unfunctionalized carbon nanotubes","year":2009,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Sulfur Compounds in Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; University of Saskatchewan","funders":"","keywords":"Carbon nanotube; Hydrogen sulfide; Raman spectroscopy; Materials science; Nanotechnology; Confocal; Nano-; Microscopy; Hydrogen; Chemical engineering; Carbon fibers; Chemistry; Organic chemistry; Composite material; Optics; Sulfur; Physics","score_opus":0.025618541073931352,"score_gpt":0.25262252775913785,"score_spread":0.2270039866852065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977209171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956553,0.0033226656,0.00014568235,0.00039342078,0.00009882425,0.00021024141,9.169296e-7,0.000014354652,0.00015861074],"genre_scores_gemma":[0.99937725,0.00014724885,0.00036717975,0.000075594784,0.00001929063,0.0000067249252,0.000001178069,0.0000039867923,0.0000015584421],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99838954,0.000044629105,0.00026208506,0.00043675315,0.0005933027,0.0002736786],"domain_scores_gemma":[0.99888575,0.0000032120827,0.000098535405,0.00023538199,0.0007358593,0.00004125023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001857569,0.00012780784,0.00018075487,0.00016909934,0.000101171136,0.000013244025,0.00018053238,0.0001568156,0.0000012925321],"category_scores_gemma":[0.0005849234,0.00012071922,0.000015800671,0.00050666474,0.00068754127,0.000011219291,0.00007980237,0.00007058411,1.557619e-7],"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":[0.000039178507,0.000058514885,0.052896265,0.0000082283,0.0000090430485,7.7104164e-7,0.000012495151,0.0000141343235,0.9448449,0.0006458093,0.000004401906,0.0014662637],"study_design_scores_gemma":[0.0007149837,0.00037215714,0.00970956,0.000043641034,0.000010186338,0.000021798041,0.000058271442,0.00045401132,0.9873817,0.00084454764,0.00025331165,0.00013583427],"about_ca_topic_score_codex":0.000042624197,"about_ca_topic_score_gemma":0.00010712867,"teacher_disagreement_score":0.043186706,"about_ca_system_score_codex":0.00012278659,"about_ca_system_score_gemma":0.0003606802,"threshold_uncertainty_score":0.49227867},"labels":[],"label_agreement":null},{"id":"W1977894978","doi":"10.1088/0957-0233/19/7/075103","title":"Uncertainty evaluation of the NRC imaging diffractometer","year":2008,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Diffractometer; Collimated light; Grating; Optics; Position (finance); Orientation (vector space); Materials science; Coherence (philosophical gambling strategy); Detector; Physics; Laser; Mathematics; Geometry","score_opus":0.03102880946995524,"score_gpt":0.2224698513941246,"score_spread":0.19144104192416936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977894978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960143,0.0003257484,0.001551619,0.00040610507,0.00014140167,0.00013341226,5.277748e-7,0.000051014482,0.0013758743],"genre_scores_gemma":[0.99983925,0.000022442351,0.000108932996,0.000010650946,0.0000054921647,0.000009249981,5.5753265e-8,0.0000026241646,0.0000013189177],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836814,0.000007340782,0.0000882447,0.00009428028,0.0013255515,0.00011646063],"domain_scores_gemma":[0.99868655,0.0000048576117,0.000024336829,0.00014257172,0.0011292385,0.00001242856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020780817,0.000044367367,0.00005020784,0.0001343042,0.00013536878,0.0000066183475,0.00014616943,0.00002033025,0.0000051075936],"category_scores_gemma":[0.00070333586,0.000030066347,0.000008315933,0.0006151321,0.00039056415,0.000074561154,0.000028162294,0.00006346974,9.1737843e-7],"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":[4.5130068e-7,0.00001249465,0.008449322,0.00000820671,0.0000046490077,1.7026265e-7,0.00007481236,0.0020372896,0.9268426,0.00037417858,0.000118381955,0.06207749],"study_design_scores_gemma":[0.00044436142,0.00002277248,0.05758768,0.000043621898,0.000041929772,0.00002717888,0.00020382204,0.5497897,0.38607785,0.0048878854,0.0007261717,0.00014697024],"about_ca_topic_score_codex":0.000004791921,"about_ca_topic_score_gemma":0.0000050067824,"teacher_disagreement_score":0.54775244,"about_ca_system_score_codex":0.00021031972,"about_ca_system_score_gemma":0.00013243909,"threshold_uncertainty_score":0.143905},"labels":[],"label_agreement":null},{"id":"W1978793421","doi":"10.1088/0957-0233/16/1/028","title":"Combinatorial investigations of advanced Li-ion rechargeable battery electrode materials","year":2004,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Killam Trusts","keywords":"Battery (electricity); Electrode; Materials science; Computer science; Ion; Nanotechnology; Chemistry; Physics; Organic chemistry; Physical chemistry","score_opus":0.017877759747766737,"score_gpt":0.2257702424220069,"score_spread":0.20789248267424018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978793421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951226,0.00012473072,0.0017756541,0.00070973655,0.001362363,0.00027343145,0.000005929211,0.00027449138,0.00035104962],"genre_scores_gemma":[0.9977054,0.00004862357,0.002109349,0.000032562515,0.0000303474,0.000056896748,0.0000013734929,0.000012887325,0.0000025508104],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985762,0.000010017386,0.00028985838,0.00023594573,0.00056110293,0.0003268418],"domain_scores_gemma":[0.99928254,0.0000056479885,0.00006886189,0.00027186747,0.0003302577,0.000040816998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010007024,0.00012636461,0.00020412474,0.0003551682,0.00012948186,0.000026406111,0.00027434368,0.000078917335,0.000022236505],"category_scores_gemma":[0.000332858,0.00012598651,0.0000062202716,0.00072618626,0.00048285126,0.00032937687,0.00006820918,0.00007330396,0.000010203218],"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":[0.0000037305351,0.000019720086,0.00009132462,0.000031062176,0.0000054270718,5.403446e-7,0.000022398108,0.00041017937,0.97942024,0.019507896,0.000050321523,0.00043714963],"study_design_scores_gemma":[0.0004435787,0.00009390833,0.00013741714,0.00005930735,0.0000065542345,0.0000042378047,0.00003093788,0.0000070220353,0.93160236,0.067033716,0.00046717154,0.00011376254],"about_ca_topic_score_codex":0.000004969624,"about_ca_topic_score_gemma":0.000002756309,"teacher_disagreement_score":0.047817867,"about_ca_system_score_codex":0.000317386,"about_ca_system_score_gemma":0.00011781951,"threshold_uncertainty_score":0.51375806},"labels":[],"label_agreement":null},{"id":"W1983138862","doi":"10.1088/0957-0233/23/5/055605","title":"Fault detection of planetary gearboxes using new diagnostic parameters","year":2012,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Gear and Bearing Dynamics Analysis","field":"Engineering","cited_by":122,"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 Alberta","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Vibration; Fault (geology); SIGNAL (programming language); Computer science; Bearing (navigation); Amplitude; Root mean square; Acoustics; Structural engineering; Automotive engineering; Engineering; Geology; Physics; Artificial intelligence; Optics","score_opus":0.024809673241443952,"score_gpt":0.20717583691798364,"score_spread":0.18236616367653968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983138862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99205005,0.0007560127,0.006802133,0.00003194322,0.00012860376,0.00004956793,4.1060574e-7,0.000073623094,0.00010763388],"genre_scores_gemma":[0.9988371,0.000038529855,0.0011044375,0.0000033036363,0.0000098513,0.0000013312766,1.436923e-7,0.0000038830713,0.0000014343815],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992678,0.0000032491653,0.000094289346,0.00008955656,0.0003356311,0.00020946347],"domain_scores_gemma":[0.9997209,0.000010923958,0.000019857494,0.00011545876,0.000083159095,0.000049707705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048041262,0.00005947411,0.00008991861,0.00034836202,0.000058467573,0.000010426459,0.000098431774,0.00004719302,0.0000021959531],"category_scores_gemma":[0.00024244624,0.000054536085,0.000011549204,0.00065140566,0.00015197456,0.00010152079,0.000025495869,0.00006787295,0.0000026228124],"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":[0.000001016077,0.00001710874,0.05146788,0.000023183411,0.000031669595,5.7876196e-7,0.00005579546,0.005397574,0.8961866,0.00015889031,0.000010797129,0.04664889],"study_design_scores_gemma":[0.00035192756,0.00013086716,0.055421617,0.000077891586,0.0001962603,0.000039312905,0.0003327507,0.26073164,0.680409,0.0012621993,0.0006349363,0.0004115537],"about_ca_topic_score_codex":0.0001346888,"about_ca_topic_score_gemma":0.00004998076,"teacher_disagreement_score":0.25533408,"about_ca_system_score_codex":0.000070016315,"about_ca_system_score_gemma":0.000024655443,"threshold_uncertainty_score":0.2223917},"labels":[],"label_agreement":null},{"id":"W1984215419","doi":"10.1088/0957-0233/16/5/018","title":"Prediction of moisture content of alfalfa using density-independent functions of microwave dielectric properties","year":2005,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":17,"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 Saskatchewan","funders":"","keywords":"Water content; Microwave; Materials science; Dielectric; Bulk density; Range (aeronautics); Moisture; Composite material; Soil science; Analytical Chemistry (journal); Environmental science; Optoelectronics; Soil water; Computer science; Chemistry; Telecommunications; Geotechnical engineering; Environmental chemistry; Geology","score_opus":0.12297943469951997,"score_gpt":0.20986656795996553,"score_spread":0.08688713326044556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984215419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981687,0.00082727487,0.00021500014,0.00048774044,0.000047485355,0.00013244746,0.000004019742,0.00002272255,0.00009459327],"genre_scores_gemma":[0.9996905,0.000034332443,0.0002326082,0.000010000798,0.000016265969,0.0000033928332,4.868557e-7,4.2656075e-7,0.00001198806],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99884427,0.000012948386,0.00023922058,0.0001930536,0.00054948404,0.00016102911],"domain_scores_gemma":[0.99871975,0.000006112622,0.0001396089,0.000060423907,0.0010482428,0.000025884856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078831066,0.000069013666,0.00015319973,0.00010028462,0.00014931367,0.000006370784,0.00015085428,0.00007479987,0.0000023400744],"category_scores_gemma":[0.00017572628,0.00002956067,0.000026146357,0.000709254,0.0004149272,0.00008604485,0.000060728667,0.0000756209,2.645207e-7],"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":[0.0000115431185,0.000068741545,0.007862034,0.000009418716,0.000007812088,7.1006326e-8,0.000037793965,0.00002746782,0.95744544,0.00020308749,0.000004466241,0.034322113],"study_design_scores_gemma":[0.000118393655,0.00035352103,0.018212147,0.00006158181,0.000023990047,0.000010670144,0.00073574495,0.001784901,0.9784485,0.00010400851,0.00009159538,0.000054925298],"about_ca_topic_score_codex":0.00028516696,"about_ca_topic_score_gemma":0.0003454599,"teacher_disagreement_score":0.03426719,"about_ca_system_score_codex":0.000063172156,"about_ca_system_score_gemma":0.000050971466,"threshold_uncertainty_score":0.15288165},"labels":[],"label_agreement":null},{"id":"W1984276989","doi":"10.1088/0957-0233/24/8/085004","title":"An enhanced Hilbert–Huang transform technique for bearing condition monitoring","year":2013,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Rolling-element bearing; Hilbert transform; Robustness (evolution); Bearing (navigation); Noise reduction; Entropy (arrow of time); SIGNAL (programming language); Signal processing; Feature extraction; Pattern recognition (psychology); Filter (signal processing); Vibration; Artificial intelligence; Digital signal processing; Acoustics; Computer vision","score_opus":0.016417424276150897,"score_gpt":0.28130756237552773,"score_spread":0.26489013809937684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984276989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5723913,0.0003007538,0.41625282,0.0009730265,0.00028141163,0.003323577,0.0000044735007,0.0032412517,0.0032314023],"genre_scores_gemma":[0.9855045,0.00005182538,0.011841795,0.000012607606,0.000027446004,0.002538429,0.0000010979243,0.000020263777,0.0000020432158],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986345,0.000005192284,0.00019541514,0.00030858893,0.00045504307,0.00040121772],"domain_scores_gemma":[0.9991061,0.0000127841095,0.000027271664,0.000272049,0.00050537894,0.0000764241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096701155,0.00015486129,0.00015746221,0.00054427935,0.00022178079,0.00008024661,0.00035139162,0.0001368902,0.0000130240915],"category_scores_gemma":[0.00014604622,0.00015099438,0.000019021383,0.00060424424,0.00023565855,0.000653939,0.000024092158,0.00015618555,0.0000047050758],"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":[6.730166e-7,0.000018640128,0.00049613713,0.000032449723,0.000004398541,1.7338198e-7,0.000035591118,0.000013978888,0.9351398,0.0007108641,0.00006978647,0.06347754],"study_design_scores_gemma":[0.00014388582,0.00014068138,0.0009562325,0.0000625915,0.0000073398382,0.0000038255234,0.00008301518,0.0023467953,0.98968965,0.0060647787,0.0003201785,0.00018105596],"about_ca_topic_score_codex":0.000028408245,"about_ca_topic_score_gemma":0.000011178143,"teacher_disagreement_score":0.4131132,"about_ca_system_score_codex":0.00027457182,"about_ca_system_score_gemma":0.00003696252,"threshold_uncertainty_score":0.6157372},"labels":[],"label_agreement":null},{"id":"W1985067004","doi":"10.1088/0957-0233/21/5/055105","title":"On stochastic modeling of the modernized global positioning system (GPS) L2C signal","year":2010,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"GNSS positioning and interference","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Global Positioning System; Precise Point Positioning; SIGNAL (programming language); Computer science; GPS signals; Code (set theory); Convergence (economics); Real-time computing; Stochastic modelling; Assisted GPS; Telecommunications; Statistics; Mathematics; GNSS applications","score_opus":0.013650813262069765,"score_gpt":0.20150157561891943,"score_spread":0.18785076235684967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985067004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8946019,0.000049149214,0.09921341,0.00014748555,0.00033494426,0.00011732532,0.000002604742,0.00021921117,0.005313979],"genre_scores_gemma":[0.99971247,4.261803e-7,0.0002532756,0.000008119574,0.000008790591,0.000011708849,8.673032e-8,0.0000038803996,0.000001217162],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989611,0.000006204455,0.00013432019,0.0001582973,0.000552833,0.00018724627],"domain_scores_gemma":[0.9993843,0.0000055854957,0.000027017633,0.00019951133,0.0003541349,0.000029486087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005240776,0.00008149994,0.00009503134,0.00010939083,0.0002242252,0.000029716402,0.00030218335,0.00006624032,0.000002207822],"category_scores_gemma":[0.00010942544,0.00006061621,0.000015484286,0.00045539023,0.00027783983,0.000071010654,0.00004590058,0.00019396764,0.0000034143334],"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":[0.000008003671,0.000028367367,0.00019745469,0.00004016414,0.000014623993,4.884302e-7,0.00007057225,0.19045095,0.6623244,0.14446597,0.000027278944,0.0023717203],"study_design_scores_gemma":[0.00015123391,0.000047307964,0.000109021006,0.00017569441,0.000009860312,0.000021121134,0.00009942453,0.965344,0.030593084,0.00337286,0.0000012654589,0.00007509784],"about_ca_topic_score_codex":0.000011423946,"about_ca_topic_score_gemma":0.000011962266,"teacher_disagreement_score":0.7748931,"about_ca_system_score_codex":0.00014233647,"about_ca_system_score_gemma":0.00006729165,"threshold_uncertainty_score":0.24718572},"labels":[],"label_agreement":null},{"id":"W1988589963","doi":"10.1088/0957-0233/25/1/015202","title":"Rapid microcantilever-thickness determination by optical interferometry","year":2013,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":6,"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":"Engineering and Physical Sciences Research Council; National Research Council Canada","keywords":"Interferometry; Materials science; Optics; Optoelectronics; Physics","score_opus":0.0117938810135583,"score_gpt":0.24641124944568285,"score_spread":0.23461736843212455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988589963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8478582,0.00033514874,0.12525953,0.00629045,0.00011305277,0.0009447452,0.000010551676,0.000310084,0.018878225],"genre_scores_gemma":[0.9956747,0.000007119904,0.004022219,0.00005709388,0.000012221131,0.00015386127,0.0000017921868,0.000005812463,0.00006515011],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989571,0.000004925782,0.00014304007,0.0002954803,0.00033435578,0.00026508686],"domain_scores_gemma":[0.999121,0.0000057615916,0.000049356862,0.00021542778,0.0005517268,0.00005672822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046378843,0.00009877448,0.00010121306,0.00022477469,0.00024726609,0.000095256226,0.00031517126,0.00005153092,0.00017414408],"category_scores_gemma":[0.000024832265,0.00008668335,0.0000144949045,0.0007243241,0.000688342,0.00020369125,0.000121692865,0.00012888454,0.00004504912],"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":[4.0474555e-7,0.000045796634,0.0018130245,0.0000034236812,0.0000026500832,4.183147e-8,0.000010389705,1.6173297e-8,0.80345994,0.009841943,0.002648472,0.1821739],"study_design_scores_gemma":[0.0001521946,0.00008586707,0.00055114884,0.000020633835,0.000008295377,0.000003417995,0.000280251,0.0003558002,0.9705055,0.008274786,0.01959425,0.00016790559],"about_ca_topic_score_codex":0.000054530658,"about_ca_topic_score_gemma":9.393009e-7,"teacher_disagreement_score":0.18200599,"about_ca_system_score_codex":0.00006702242,"about_ca_system_score_gemma":0.00007204571,"threshold_uncertainty_score":0.35348442},"labels":[],"label_agreement":null},{"id":"W1993374815","doi":"10.1088/0957-0233/21/10/103001","title":"Magnetic resonance imaging inside metallic vessels","year":2010,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":11,"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 New Brunswick","funders":"","keywords":"Magnetic resonance imaging; Eddy current; Magnetic field; Materials science; Nuclear magnetic resonance; Metal; Image quality; Pressure gradient; Physics; Computer science; Mechanics; Image (mathematics); Computer vision; Radiology; Medicine","score_opus":0.019622143717135616,"score_gpt":0.26406821786813406,"score_spread":0.24444607415099845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993374815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97178996,0.0007452256,0.0011620895,0.002119663,0.00017930333,0.00022294318,0.0000027745527,0.00009085449,0.023687216],"genre_scores_gemma":[0.9995496,0.000004901683,0.00025184627,0.000038024067,0.000046072626,0.000031071857,2.831831e-7,0.00000716571,0.000070983006],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99829155,0.000009802616,0.00013183028,0.00037304114,0.00076800457,0.000425792],"domain_scores_gemma":[0.99896866,0.000010769948,0.00003595842,0.00034393228,0.00055466447,0.00008600097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012393768,0.000108633845,0.00013163972,0.0002552737,0.00033626315,0.000073600255,0.00046135724,0.000027642955,0.00009504836],"category_scores_gemma":[0.00008360746,0.0000947609,0.000018175466,0.000902571,0.0012396884,0.00022567384,0.00019735411,0.00033505235,0.000040285526],"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":[0.0000012484331,0.000028225191,0.03710883,0.0000013387516,0.0000019582196,0.0000011168407,0.00002902527,3.6242575e-8,0.3810678,0.15148343,0.00012409672,0.4301529],"study_design_scores_gemma":[0.0011741533,0.000051604937,0.015524871,0.000034308618,0.00002719779,0.000015094217,0.0012595215,0.0083740875,0.46164423,0.4119762,0.09928263,0.0006361142],"about_ca_topic_score_codex":0.00005219159,"about_ca_topic_score_gemma":0.000008704153,"teacher_disagreement_score":0.4295168,"about_ca_system_score_codex":0.000051711737,"about_ca_system_score_gemma":0.0005563148,"threshold_uncertainty_score":0.45676833},"labels":[],"label_agreement":null},{"id":"W1994092355","doi":"10.1088/0957-0233/21/4/045201","title":"Dynamic pressure as a measure of gas turbine engine (GTE) performance","year":2010,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Sensor Technologies Research","field":"Engineering","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":"École de Technologie Supérieure; Concordia University; Department of National Defence","funders":"","keywords":"Measure (data warehouse); Gas turbines; Turbine; Automotive engineering; Computer science; Environmental science; Mechanical engineering; Engineering; Data mining","score_opus":0.010842146364206674,"score_gpt":0.2350528634262187,"score_spread":0.22421071706201204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994092355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941389,0.0009917407,0.0008098646,0.00068271975,0.0002038003,0.0003134514,0.000002735321,0.0008727759,0.0019840254],"genre_scores_gemma":[0.99665004,0.00021539233,0.0030280715,0.0000052903124,0.0000068979775,0.000034709465,2.91196e-7,0.000018315939,0.000041020197],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99758714,0.0000050171134,0.000216007,0.0003406914,0.0013126571,0.00053847017],"domain_scores_gemma":[0.9982906,0.000012117957,0.000041192674,0.0006288624,0.0009557671,0.00007148269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010618572,0.00017600246,0.00022223064,0.00081308605,0.000143509,0.000019093095,0.00077351654,0.00021747481,0.000023001594],"category_scores_gemma":[0.0012306052,0.0001563136,0.00001797741,0.001831405,0.0014397613,0.00023723427,0.00016861275,0.000695334,0.000013314013],"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":[0.0000046412556,0.00001828169,0.0008180147,0.00006364537,0.000013413762,0.0000024003828,0.000022914412,0.00030046204,0.8910008,0.0006533963,0.000030881518,0.10707113],"study_design_scores_gemma":[0.00037627292,0.00021435112,0.0014595521,0.000051064173,0.000014943823,0.000060079583,0.0001870735,0.048507884,0.9411092,0.0013027405,0.0064698886,0.0002469913],"about_ca_topic_score_codex":0.0000054794073,"about_ca_topic_score_gemma":0.000058795427,"teacher_disagreement_score":0.10682414,"about_ca_system_score_codex":0.000094596086,"about_ca_system_score_gemma":0.0001304393,"threshold_uncertainty_score":0.63742834},"labels":[],"label_agreement":null},{"id":"W1995843862","doi":"10.1088/0957-0233/13/2/303","title":"Magnetic flux leakage inspection of tailor-welded blanks","year":2001,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Magnetic flux leakage; Welding; Hall effect sensor; Plotter; Materials science; Magnet; Leakage (economics); Acoustics; Magnetic flux; Flux (metallurgy); Mechanical engineering; Magnetic field; Composite material; Computer science; Engineering; Metallurgy; Physics","score_opus":0.021748513972794842,"score_gpt":0.22171401009121497,"score_spread":0.19996549611842013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995843862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97028834,0.00032830195,0.0033967805,0.0002134752,0.00011150511,0.00017874445,4.9679295e-7,0.0016688032,0.023813583],"genre_scores_gemma":[0.98386174,0.000041052124,0.016051497,0.0000065351737,0.000009120161,0.000016455819,1.3566489e-7,0.000008721937,0.0000047558588],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99892026,0.000006001705,0.00015066397,0.0001988701,0.00048551717,0.00023867996],"domain_scores_gemma":[0.99931043,0.0000063886323,0.000030707477,0.00024148701,0.00037847692,0.00003248208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007521673,0.00009766656,0.000121303645,0.0005555132,0.0000982244,0.000014246431,0.0002526965,0.000078647456,0.000013194584],"category_scores_gemma":[0.00030153952,0.00009544958,0.000010082001,0.0013279072,0.0007227433,0.00012991593,0.000058539616,0.00013123015,0.0000058679657],"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":[0.0000022801373,0.000015781872,0.0117114745,0.000017698041,0.0000032614157,0.0000034265809,0.000025434047,0.0000022867728,0.96522486,0.010768075,0.00016681342,0.012058624],"study_design_scores_gemma":[0.00041547394,0.00064678554,0.02591811,0.000100079524,0.000020886235,0.000133463,0.00019989467,0.0011089693,0.8308586,0.13937606,0.0008925146,0.00032920265],"about_ca_topic_score_codex":0.000015234817,"about_ca_topic_score_gemma":0.000020552005,"teacher_disagreement_score":0.13436629,"about_ca_system_score_codex":0.00018737209,"about_ca_system_score_gemma":0.000043971468,"threshold_uncertainty_score":0.38923207},"labels":[],"label_agreement":null},{"id":"W1996354381","doi":"10.1088/0957-0233/19/7/075702","title":"Coplanar capacitance sensors for detecting water intrusion in composite structures","year":2008,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Atomic Energy (Canada); McMaster University","funders":"","keywords":"Capacitance; Retrofitting; Durability; Materials science; Composite number; Finite element method; Intrusion; Dielectric; Sensitivity (control systems); Structural engineering; Computer science; Composite material; Acoustics; Electronic engineering; Optoelectronics; Engineering; Geology; Electrode","score_opus":0.0196488942164692,"score_gpt":0.20800943603002445,"score_spread":0.18836054181355524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996354381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986702,0.00001629773,0.00018120775,0.00043294806,0.00022748778,0.0002618212,9.387575e-7,0.00006197447,0.00014707471],"genre_scores_gemma":[0.99791336,0.000006674562,0.0020055636,0.000033641118,0.000009643399,0.000023146229,3.0991274e-7,0.000004966538,0.0000027052665],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986044,0.000013448712,0.0001634072,0.00034910403,0.00052276213,0.00034685148],"domain_scores_gemma":[0.99969345,0.000007080012,0.000041635078,0.00015813792,0.00006315587,0.00003652595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009489447,0.00009677824,0.00011835286,0.00021504723,0.00047666766,0.000017316366,0.0001897142,0.00007060749,0.000026703667],"category_scores_gemma":[0.0001766309,0.00007378069,0.000009564974,0.0004431225,0.001270689,0.00019909976,0.00008669295,0.00007593578,0.000015813293],"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":[0.000010733337,0.0000059717227,0.14662287,0.0000034089578,8.9492556e-7,0.0000027871063,0.00012694109,0.000035065714,0.85131884,0.0000895925,0.000025271043,0.0017576523],"study_design_scores_gemma":[0.00034016307,0.000069394024,0.074431345,0.000010081937,0.0000030278263,0.00014969362,0.00014081277,0.00029876156,0.9204763,0.003134241,0.00081600616,0.00013012423],"about_ca_topic_score_codex":0.00012380867,"about_ca_topic_score_gemma":0.0002967923,"teacher_disagreement_score":0.07219152,"about_ca_system_score_codex":0.00033692818,"about_ca_system_score_gemma":0.00001855564,"threshold_uncertainty_score":0.46819064},"labels":[],"label_agreement":null},{"id":"W1997609803","doi":"10.1088/0957-0233/18/11/031","title":"Real time, non-intrusive measurement of particle emissivity and gas temperature in coal-fired power plants","year":2007,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":43,"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 Toronto","funders":"Sustainable Development Technology Canada","keywords":"Emissivity; Environmental science; Coal; Power (physics); Coal fired; Particle (ecology); Nuclear engineering; Materials science; Atmospheric sciences; Waste management; Thermodynamics; Optics; Physics; Geology; Engineering","score_opus":0.012509824578029748,"score_gpt":0.22239887455470492,"score_spread":0.20988904997667518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997609803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955626,0.00028217194,0.00036189426,0.00042034217,0.000077094584,0.00036335332,0.00000252052,0.00026331114,0.0026667155],"genre_scores_gemma":[0.9994456,0.0001769912,0.0003145573,0.000021740952,0.00000779671,0.00001563529,3.8309676e-7,0.0000099579,0.000007343107],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997863,0.000012735506,0.00031265782,0.0002845623,0.0011384091,0.0003886544],"domain_scores_gemma":[0.9991485,0.000009380345,0.000052323216,0.00022664014,0.0004570565,0.00010608536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038164828,0.00015440455,0.00022631051,0.000409519,0.0000917235,0.000029582174,0.00017175043,0.00013978539,0.000009718632],"category_scores_gemma":[0.00024406367,0.00014302593,0.000014344182,0.00070522336,0.0003960251,0.00019238361,0.0000582583,0.00016225681,0.000002336304],"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":[0.000016733597,0.000046176578,0.0065702237,0.00002178231,0.000008112237,0.000005827809,0.00012598479,0.000004317848,0.9878296,0.000417213,0.00038482336,0.0045691743],"study_design_scores_gemma":[0.0004897752,0.00011013262,0.022822585,0.000099841774,0.0000064630017,0.000009847682,0.0002041932,0.0007773528,0.9746783,0.00023778503,0.00040272222,0.00016102624],"about_ca_topic_score_codex":0.000024068719,"about_ca_topic_score_gemma":0.00017833474,"teacher_disagreement_score":0.016252361,"about_ca_system_score_codex":0.00027935373,"about_ca_system_score_gemma":0.000118834774,"threshold_uncertainty_score":0.5832428},"labels":[],"label_agreement":null},{"id":"W1999066512","doi":"10.1088/0957-0233/24/5/055009","title":"A kurtosis-guided adaptive demodulation technique for bearing fault detection based on tunable-Q wavelet transform","year":2013,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":80,"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 Ottawa","funders":"Xiamen University of Technology; National Natural Science Foundation of China; Case Western Reserve University","keywords":"Demodulation; Kurtosis; Computer science; Bearing (navigation); Fault (geology); Filter (signal processing); SIGNAL (programming language); Fault detection and isolation; Wavelet transform; Wavelet; Artificial intelligence; Electronic engineering; Pattern recognition (psychology); Telecommunications; Computer vision; Mathematics; Engineering; Statistics","score_opus":0.023897891531140535,"score_gpt":0.25001563257655535,"score_spread":0.22611774104541482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999066512","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07782397,0.000050753246,0.91214544,0.0014739608,0.00012040533,0.003757459,0.0000043729383,0.0019356345,0.0026880335],"genre_scores_gemma":[0.980547,0.000011330557,0.016417343,0.000064060325,0.000015677731,0.0029165898,0.0000010109276,0.000024024253,0.000002964517],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99829626,0.000010424111,0.00024860227,0.00038319916,0.00064222206,0.00041929225],"domain_scores_gemma":[0.99890184,0.000027888698,0.000042981384,0.0002820811,0.00068015745,0.00006505281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013485088,0.00020141722,0.00018605457,0.000929428,0.0002596508,0.000059644102,0.00026454264,0.0001931873,0.000008325699],"category_scores_gemma":[0.00036447617,0.00018903472,0.000032492302,0.0009774426,0.0002033999,0.00032455657,0.000022688953,0.00020530663,0.000004836201],"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":[0.000006170249,0.00004134949,0.00019852081,0.0000476712,0.000008156341,3.3011773e-7,0.000020079497,0.00072208396,0.8740676,0.00076681026,0.00023924357,0.12388196],"study_design_scores_gemma":[0.0002500903,0.00026175223,0.0008729441,0.00006159048,0.000009236695,0.000003178273,0.000022745746,0.26602235,0.7277985,0.003982431,0.0005394348,0.00017573933],"about_ca_topic_score_codex":0.00005860229,"about_ca_topic_score_gemma":0.00005530959,"teacher_disagreement_score":0.902723,"about_ca_system_score_codex":0.0005337977,"about_ca_system_score_gemma":0.000058162255,"threshold_uncertainty_score":0.7708612},"labels":[],"label_agreement":null},{"id":"W2001981329","doi":"10.1088/0957-0233/17/11/023","title":"Electrical probe calibration and power calculation for a miniature 13.56 MHz plasma source","year":2006,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Calibration; Plasma; Power (physics); Electrical engineering; Nuclear engineering; Physics; Computer science; Engineering; Nuclear physics; Thermodynamics","score_opus":0.008940663646294447,"score_gpt":0.19835698807509522,"score_spread":0.18941632442880077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001981329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9243091,0.0002251528,0.07185077,0.002397921,0.000051569037,0.00049518415,0.0000055435908,0.0002613034,0.00040348066],"genre_scores_gemma":[0.99694735,0.000009359229,0.002877461,0.000017453849,0.000017572407,0.00010829332,0.000002393047,0.000006378297,0.00001371494],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928653,0.0000020678694,0.00010116499,0.00018043227,0.00024256589,0.0001872307],"domain_scores_gemma":[0.9996832,0.000017381057,0.000019038009,0.00008763619,0.00016359815,0.000029154793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000263435,0.00007196227,0.000069823225,0.00017937299,0.00016187977,0.000045013832,0.000076019525,0.00009051386,4.8047144e-7],"category_scores_gemma":[0.00014725215,0.00006653129,0.000008816549,0.00050676026,0.00013677188,0.00008321841,0.000016320519,0.00006784969,7.89864e-7],"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":[0.0000074100067,0.00009887859,0.0061054626,0.000036874255,0.000015277941,7.777114e-7,0.00006346508,0.0026396147,0.8733569,0.090001896,0.005364792,0.022308653],"study_design_scores_gemma":[0.0007896577,0.00017090856,0.008673126,0.000027750046,0.000038145678,0.000022471224,0.0000415927,0.67733204,0.2533559,0.016517725,0.042661663,0.00036901876],"about_ca_topic_score_codex":0.0000046212167,"about_ca_topic_score_gemma":0.000039500865,"teacher_disagreement_score":0.67469245,"about_ca_system_score_codex":0.00006143206,"about_ca_system_score_gemma":0.00003622213,"threshold_uncertainty_score":0.27130672},"labels":[],"label_agreement":null},{"id":"W2002409581","doi":"10.1088/0957-0233/15/1/023","title":"Monitoring and control of RF thermal plasma diamond deposition via substrate biasing","year":2003,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Diamond and Carbon-based Materials Research","field":"Materials Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; McGill University","funders":"","keywords":"Biasing; Diamond; Nucleation; Materials science; Plasma; Substrate (aquarium); Chemical vapor deposition; Optoelectronics; Current (fluid); Deposition (geology); Voltage; Analytical Chemistry (journal); Nanotechnology; Chemistry; Electrical engineering; Metallurgy; Thermodynamics; Physics; Environmental chemistry","score_opus":0.0239475878391048,"score_gpt":0.2453866850755916,"score_spread":0.2214390972364868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002409581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978651,0.00052607496,0.00058150606,0.0001304981,0.00019563216,0.00017119494,0.0000021803316,0.00005040312,0.000477415],"genre_scores_gemma":[0.999438,0.000035260742,0.00047535746,0.000006792126,0.000014269789,0.0000219426,6.993977e-8,0.000006038205,0.0000022674396],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981942,0.000050646213,0.00020388502,0.00032745875,0.0008341742,0.00038959648],"domain_scores_gemma":[0.9991919,0.000023752493,0.00008409324,0.0001782679,0.00044286228,0.00007912546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028312698,0.000109652414,0.0001779569,0.00027800538,0.00025936496,0.0001062667,0.00019305319,0.00007647995,0.000014140371],"category_scores_gemma":[0.00034483298,0.00009176668,0.000011172831,0.00045199442,0.0010122056,0.00023627936,0.00004517704,0.000072157745,0.0000038122182],"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":[0.000014531226,0.000029073257,0.0099580325,0.000022091568,0.000002585017,0.0000037919801,0.000026327198,0.0000035461007,0.98304707,0.0006595843,5.6327536e-7,0.006232798],"study_design_scores_gemma":[0.00045137483,0.00013693918,0.00350713,0.000049121078,0.0000099899025,0.000010978269,0.00013580818,0.00010298624,0.9948585,0.0006267461,0.000014707742,0.00009574309],"about_ca_topic_score_codex":0.00003410529,"about_ca_topic_score_gemma":0.000006746929,"teacher_disagreement_score":0.0118114,"about_ca_system_score_codex":0.00006469903,"about_ca_system_score_gemma":0.00016873778,"threshold_uncertainty_score":0.37421367},"labels":[],"label_agreement":null},{"id":"W2003582049","doi":"10.1088/0957-0233/21/12/125802","title":"Bias and precision of algorithms in estimating the cross-sectional area of rat tail tendons","year":2010,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","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":"Université de Sherbrooke","funders":"","keywords":"Ellipse; Algorithm; Mean squared error; Degrees of freedom (physics and chemistry); Mathematics; Observational error; Computer science; Geometry; Physics; Statistics","score_opus":0.03985223361617471,"score_gpt":0.28772507292278154,"score_spread":0.24787283930660683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003582049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975847,0.00014978736,0.0016126394,0.0001849793,0.00023983102,0.000092783535,0.0000017267495,0.0000032263604,0.00013031588],"genre_scores_gemma":[0.99839175,0.000021217711,0.0015380516,0.000008349023,0.000012522051,0.000008893017,8.205583e-7,0.0000022358488,0.000016166265],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992792,0.000008225547,0.00015967971,0.00018947407,0.0002599755,0.000103461934],"domain_scores_gemma":[0.99929845,0.0000089764635,0.00007846642,0.00017707497,0.00041963244,0.000017423401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013847123,0.00005084223,0.0000667159,0.0001348082,0.00010732144,0.00001525433,0.00015423902,0.00007408097,0.000004829567],"category_scores_gemma":[0.0009872017,0.00003582324,0.000013008547,0.00025838747,0.0005414781,0.000007301281,0.00012533274,0.0001106378,1.5493066e-7],"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":[0.000004401191,0.000025475349,0.031487063,0.0000031234238,0.000002615721,1.4210467e-7,0.000008989236,0.000007042957,0.9619748,0.0005919525,0.000010767278,0.0058836495],"study_design_scores_gemma":[0.00021213495,0.00016089274,0.014916816,0.000012101385,0.0000030348112,0.000028964063,0.00007222901,0.005070206,0.97735107,0.0011093515,0.0010118071,0.000051396266],"about_ca_topic_score_codex":0.000020501142,"about_ca_topic_score_gemma":0.00011804336,"teacher_disagreement_score":0.016570246,"about_ca_system_score_codex":0.00000831436,"about_ca_system_score_gemma":0.000094633404,"threshold_uncertainty_score":0.19950986},"labels":[],"label_agreement":null},{"id":"W2003731425","doi":"10.1088/0957-0233/19/12/125302","title":"Fiber Bragg grating sensor for simultaneous measurement of flow rate and direction","year":2008,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Canada Research Chairs","keywords":"Fiber Bragg grating; Materials science; Optics; Cantilever; PHOSFOS; Ultrasonic grating; Wavelength; Grating; Long-period fiber grating; Fiber optic sensor; Holographic grating; Fiber; Optoelectronics; Dispersion-shifted fiber; Diffraction grating; Composite material; Physics","score_opus":0.02508412754129578,"score_gpt":0.2187945710292652,"score_spread":0.19371044348796942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003731425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97557414,0.0011686832,0.020785227,0.0003688003,0.0002729537,0.0006782805,0.000006041813,0.00047721804,0.0006686767],"genre_scores_gemma":[0.9865135,0.00009325119,0.013305339,0.000009098742,0.000014576347,0.000027772376,1.9127333e-7,0.000013751494,0.000022537723],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99863935,0.000007965094,0.00020731991,0.0002701951,0.00058669085,0.00028849894],"domain_scores_gemma":[0.9988195,0.0000401924,0.000047397374,0.00017126929,0.0008722855,0.00004938778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010145426,0.00012993142,0.00018082443,0.0002702828,0.00023104293,0.0000098482005,0.000097076285,0.000076171455,0.0000024385477],"category_scores_gemma":[0.0013359201,0.00012234326,0.00001466275,0.0005376417,0.00050201593,0.00011286223,0.00002808366,0.00009044836,0.0000013021237],"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":[0.000010731629,0.000019939747,0.00038084426,0.00006724087,0.000022254902,0.0000051056663,0.00015574023,0.009159587,0.92416775,0.000108924694,0.00006864288,0.06583321],"study_design_scores_gemma":[0.00089137634,0.0002720222,0.00070413464,0.000093537106,0.00003332683,0.00012205852,0.0003096292,0.1841359,0.80729294,0.0005768175,0.00520485,0.00036341633],"about_ca_topic_score_codex":0.000003337813,"about_ca_topic_score_gemma":0.000014664613,"teacher_disagreement_score":0.17497632,"about_ca_system_score_codex":0.00017850699,"about_ca_system_score_gemma":0.000050639133,"threshold_uncertainty_score":0.49890134},"labels":[],"label_agreement":null},{"id":"W2004557727","doi":"10.1088/0957-0233/20/11/114005","title":"Investigation and visualization of liquid–liquid flow in a vertically mounted Hele-Shaw cell: flow regimes, velocity and shape of droplets","year":2009,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fluid Dynamics and Thin Films","field":"Engineering","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":"University of Calgary","funders":"","keywords":"Capillary action; Hele-Shaw flow; Mechanics; Capillary number; Dimensionless quantity; Materials science; Two-phase flow; Flow (mathematics); Drop (telecommunication); Liquid drop; Viscous liquid; Flow visualization; Viscous fingering; Flow velocity; Open-channel flow; Physics; Porous medium; Composite material; Porosity","score_opus":0.012695692739796916,"score_gpt":0.21328780407214193,"score_spread":0.200592111332345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004557727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99641734,0.0006953758,0.0022012882,0.00030741302,0.0000337396,0.00014163941,0.0000018187006,0.0000594611,0.00014190072],"genre_scores_gemma":[0.99778867,0.0002499274,0.0019191509,0.000027956383,0.0000025694117,0.0000041380563,0.0000013163258,0.0000050466806,0.0000011989191],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897736,0.00001073057,0.00023384964,0.00023640197,0.00037131313,0.00017033952],"domain_scores_gemma":[0.99950165,0.0000070246097,0.00003732143,0.00015296448,0.00025593006,0.000045134617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095689826,0.000093440016,0.00016456435,0.00039066694,0.00004722003,0.000012779292,0.000104758976,0.000104308456,0.0000016337569],"category_scores_gemma":[0.0002677783,0.00009195548,0.000006661413,0.00083224924,0.00040894368,0.00014014136,0.000039768434,0.00008004754,1.9703984e-7],"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":[0.000022709077,0.000025754258,0.0018122306,0.000072769195,0.000003809546,0.000001177854,0.0002194286,0.00034432797,0.9869287,0.005292144,0.000013553104,0.0052634203],"study_design_scores_gemma":[0.00039181128,0.0004902451,0.005190605,0.00011083888,0.000008174464,0.0000037624472,0.000045851775,0.77578783,0.21672633,0.001113255,0.000023513638,0.0001077953],"about_ca_topic_score_codex":0.000013598418,"about_ca_topic_score_gemma":0.000033018994,"teacher_disagreement_score":0.7754435,"about_ca_system_score_codex":0.00006277269,"about_ca_system_score_gemma":0.00006208269,"threshold_uncertainty_score":0.37498358},"labels":[],"label_agreement":null},{"id":"W2005760764","doi":"10.1088/0957-0233/24/1/015801","title":"Design requirements for the SWIFT instrument","year":2012,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","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":"York University","funders":"EUROfusion; Israel Cancer Research Fund","keywords":"Michelson interferometer; Interferometry; Spacecraft; Remote sensing; Sensitivity (control systems); Visibility; Optical path length; Optics; Doppler effect; Astronomical interferometer; Environmental science; Filter (signal processing); Optical instrument; Satellite; Aerospace engineering; Computer science; Physics; Engineering; Electronic engineering; Geology","score_opus":0.0889306862100243,"score_gpt":0.2522710980425643,"score_spread":0.16334041183254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005760764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77234674,0.022774061,0.1393383,0.031533837,0.0048006247,0.0054776194,0.000019939895,0.00070841913,0.02300046],"genre_scores_gemma":[0.99597365,0.00010534226,0.0035984125,0.00023873828,0.000039009614,0.000016762764,4.2826926e-7,0.0000017718113,0.000025890102],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99837416,0.0000139327585,0.00013209721,0.00019737282,0.0007464919,0.0005359655],"domain_scores_gemma":[0.9994064,0.000038053906,0.000055992616,0.00020494663,0.00021539518,0.00007920425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038445315,0.00009229192,0.000088261404,0.00004220777,0.0007067057,0.000048489914,0.00035548361,0.000044546636,0.00011698872],"category_scores_gemma":[0.00024458545,0.00005463885,0.000012895693,0.00060862885,0.00058058463,0.0003221901,0.000029331612,0.00006432682,0.000043140746],"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":[0.000027760065,0.00004418382,0.31641105,0.000011813063,0.000027413416,5.1347394e-7,0.00018394302,0.00004412281,0.0042885765,0.0037352035,0.0010110311,0.67421436],"study_design_scores_gemma":[0.0029063653,0.0023223741,0.5472589,0.00008970672,0.0002757724,0.00010279037,0.0077746487,0.029816942,0.073935874,0.018819029,0.31530356,0.0013940186],"about_ca_topic_score_codex":0.00006794495,"about_ca_topic_score_gemma":0.00006834186,"teacher_disagreement_score":0.6728204,"about_ca_system_score_codex":0.000023429608,"about_ca_system_score_gemma":0.00012111139,"threshold_uncertainty_score":0.54354805},"labels":[],"label_agreement":null},{"id":"W2007683166","doi":"10.1088/0957-0233/19/4/045105","title":"Machine fault feature extraction based on intrinsic mode functions","year":2008,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":64,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Hilbert–Huang transform; Vibration; Acceleration; Fault (geology); Energy (signal processing); Computer science; Amplitude; SIGNAL (programming language); Mode (computer interface); Control theory (sociology); Acoustics; Pattern recognition (psychology); Artificial intelligence; Physics; Mathematics; Statistics","score_opus":0.0184386614732228,"score_gpt":0.26022704177384376,"score_spread":0.24178838030062097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007683166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81155425,0.0023246836,0.08902711,0.020367766,0.0017414879,0.0020872094,0.00004289917,0.013825459,0.059029117],"genre_scores_gemma":[0.99800426,0.00011031236,0.001618943,0.000111602436,0.000021859792,0.00009304227,0.000001805354,0.000013408436,0.000024798283],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985234,0.000008810024,0.00011897765,0.00029424357,0.00077754154,0.000276984],"domain_scores_gemma":[0.9992679,0.000013252648,0.00002560803,0.0003343144,0.0002979893,0.00006094499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004932524,0.00015226324,0.00013029289,0.0008245356,0.00033026084,0.000020917916,0.0002223613,0.00013097853,0.000014856021],"category_scores_gemma":[0.0003111352,0.00013625585,0.00001888096,0.0012186867,0.00033594534,0.00016955409,0.000029299263,0.00034837503,0.000017530412],"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":[0.000037347876,0.00057493977,0.038931135,0.00009285895,0.000040282983,0.00006773825,0.00009561269,0.0079401815,0.5024737,0.005059144,0.061581638,0.3831054],"study_design_scores_gemma":[0.0012886144,0.000779715,0.03282648,0.0001517475,0.000045319917,0.00020491032,0.000070863316,0.3302866,0.4999791,0.0016307444,0.1317497,0.000986227],"about_ca_topic_score_codex":0.000020789488,"about_ca_topic_score_gemma":0.000050744376,"teacher_disagreement_score":0.38211918,"about_ca_system_score_codex":0.00031531946,"about_ca_system_score_gemma":0.00007384244,"threshold_uncertainty_score":0.5556353},"labels":[],"label_agreement":null},{"id":"W2007941129","doi":"10.1088/0957-0233/20/2/025202","title":"Spatial resolution analysis for discrete Fourier transform-based Brillouin optical time domain reflectometry","year":2008,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":24,"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 Ottawa","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Spectral leakage; Window function; Reflectometry; Image resolution; Discrete Fourier transform (general); Optics; Fourier transform; Brillouin zone; Frequency domain; Time domain; Resolution (logic); Spatial frequency; Fast Fourier transform; Spectral density; Physics; Mathematics; Short-time Fourier transform; Fourier analysis; Computer science; Algorithm; Telecommunications; Mathematical analysis","score_opus":0.021723641330776523,"score_gpt":0.24453625601621667,"score_spread":0.22281261468544014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007941129","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26825735,0.00014622138,0.72878116,0.0009506224,0.000068312234,0.00031939693,0.000005468636,0.00036412108,0.0011073592],"genre_scores_gemma":[0.94732857,0.000011410766,0.05254994,0.000019757812,0.00001871004,0.000040899584,0.0000022249515,0.000013249562,0.000015266842],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982053,0.0000068500426,0.00021010228,0.00033982794,0.00078072335,0.000457182],"domain_scores_gemma":[0.99928725,0.000024069606,0.000025304602,0.000277668,0.00030187066,0.00008382947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008792994,0.0001426122,0.00023543232,0.0010573297,0.00027404583,0.0000149129655,0.00020161357,0.00012722351,0.000009697499],"category_scores_gemma":[0.00030092744,0.00013305161,0.000054698507,0.002811892,0.0008008048,0.00012843116,0.000016482976,0.00012468235,0.000006905855],"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":[0.0001508493,0.00010432339,0.008266911,0.00007454313,0.00043145946,0.000031789798,0.00024316431,0.032264244,0.90402055,0.0028912255,0.00035586886,0.05116507],"study_design_scores_gemma":[0.0019707482,0.0005024742,0.006336149,0.000030771287,0.00028579854,0.000040266474,0.00008854874,0.6726971,0.30704054,0.0030194754,0.0072675543,0.0007205473],"about_ca_topic_score_codex":0.000004244039,"about_ca_topic_score_gemma":0.00003153893,"teacher_disagreement_score":0.6790712,"about_ca_system_score_codex":0.0003155394,"about_ca_system_score_gemma":0.000083176805,"threshold_uncertainty_score":0.5425687},"labels":[],"label_agreement":null},{"id":"W2010150724","doi":"10.1088/0957-0233/22/2/025802","title":"Algorithm for real-time detection of signal patterns using phase synchrony: an application to an electrode array","year":2011,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"University of Toronto","keywords":"SIGNAL (programming language); Computer science; Electrode array; Phase (matter); Electrode; Detection theory; Algorithm; Acoustics; Real-time computing; Telecommunications; Physics; Detector","score_opus":0.05606754178464843,"score_gpt":0.2869596020691352,"score_spread":0.23089206028448675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010150724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6037737,0.0000014247116,0.39570487,0.00003716242,0.000041375297,0.00034837984,0.000005274867,0.00006229061,0.00002551186],"genre_scores_gemma":[0.9950142,0.0000045302836,0.0048399544,0.000047856258,0.000021361202,0.00006106795,7.3887537e-7,0.000008334193,0.0000019646898],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985545,0.000024391915,0.00016672039,0.00052166963,0.0004572628,0.00027544668],"domain_scores_gemma":[0.99918944,0.000007537458,0.00010375292,0.00024589567,0.0003741721,0.00007921712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009280927,0.000096768934,0.000113751565,0.00040141097,0.00028208242,0.000022088705,0.0002547282,0.000060015424,0.000004169927],"category_scores_gemma":[0.00011670429,0.00008918153,0.000013643426,0.0007936036,0.00022675753,0.00039669513,0.000026921349,0.000060525213,0.0000014222752],"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":[0.00001677247,0.00011581361,0.00004125006,0.000003322039,7.0650475e-7,2.1727841e-7,0.000029277764,0.0000024883982,0.7766478,0.00025992293,2.1337789e-7,0.2228822],"study_design_scores_gemma":[0.00024167841,0.0017668972,0.00013295878,0.000005908393,0.000009048485,0.000011493056,0.000037049434,0.087585114,0.9087075,0.0013795375,0.000027959804,0.00009484411],"about_ca_topic_score_codex":0.0000782781,"about_ca_topic_score_gemma":0.000044378372,"teacher_disagreement_score":0.39124048,"about_ca_system_score_codex":0.00013442383,"about_ca_system_score_gemma":0.000080554266,"threshold_uncertainty_score":0.36367172},"labels":[],"label_agreement":null},{"id":"W2010260764","doi":"10.1088/0957-0233/17/9/009","title":"Measurement of pressure distribution in a deformable nip of counter-rotating rolls","year":2006,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Tribology and Lubrication Engineering","field":"Engineering","cited_by":9,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Newtonian fluid; Transducer; Mechanics; NIP; Pressure measurement; Coating; Acoustics; Pressure sensor; Sensitivity (control systems); Piezoelectricity; Mechanical engineering; Composite material; Physics; Engineering; Electronic engineering","score_opus":0.009229086610393959,"score_gpt":0.1901461613952316,"score_spread":0.18091707478483765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010260764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96664363,0.0035566045,0.028103147,0.00017040105,0.00013032291,0.00030210658,0.000009385759,0.00017286342,0.00091154635],"genre_scores_gemma":[0.99971294,0.000015366715,0.00023848047,0.0000012882829,0.00000453839,0.000021195521,7.5249363e-7,0.0000038487988,0.0000015786542],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988218,0.000006287893,0.0002707242,0.00012741651,0.0005647173,0.0002090398],"domain_scores_gemma":[0.9992914,0.000004590793,0.000055774828,0.00013866683,0.00049414136,0.000015385975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015556884,0.00007696683,0.00014838438,0.00029049357,0.000039957325,0.0000047426324,0.00015210283,0.00007018083,0.0000019706226],"category_scores_gemma":[0.00017111882,0.00007482194,0.000010674683,0.00093080144,0.00021444807,0.00012685683,0.000024768304,0.00009390755,5.5348147e-7],"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":[0.000010151674,0.00010801791,0.090121925,0.00032901065,0.000027426768,0.0000012526331,0.000081252925,0.066146515,0.8246724,0.006852532,0.00016182284,0.011487708],"study_design_scores_gemma":[0.00081332226,0.000098800796,0.12607181,0.00023146071,0.000027013697,0.000008935437,0.00012375128,0.08501295,0.78424674,0.0010174942,0.0021399492,0.00020778277],"about_ca_topic_score_codex":0.000035505418,"about_ca_topic_score_gemma":0.000060542,"teacher_disagreement_score":0.040425662,"about_ca_system_score_codex":0.00011986763,"about_ca_system_score_gemma":0.000059414982,"threshold_uncertainty_score":0.305115},"labels":[],"label_agreement":null},{"id":"W2013371121","doi":"10.1088/0957-0233/18/5/017","title":"Measurement of low concentration and nano-quantity hydrogen sulfide in aqueous solution: measurement mechanisms and limitations","year":2007,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Sulfur Compounds in Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrogen sulfide; Raman spectroscopy; Microscope; Confocal; Materials science; Raman microscope; Laser scanning; Resolution (logic); Laser; Aqueous solution; Analytical Chemistry (journal); Nano-; Microscopy; Nanotechnology; Optics; Chemistry; Sulfur; Raman scattering; Chromatography; Computer science","score_opus":0.03831843260265091,"score_gpt":0.2497768002151459,"score_spread":0.21145836761249498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013371121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9800414,0.007416259,0.010831464,0.00077201915,0.000146924,0.0004415106,0.0000017522127,0.000025485158,0.00032322903],"genre_scores_gemma":[0.9977529,0.00050640694,0.0016153622,0.000073837014,0.000017375343,0.00002339311,0.0000014786181,0.000007534106,0.0000016788314],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99753445,0.00005081657,0.00039151605,0.00056827674,0.0010335176,0.0004214166],"domain_scores_gemma":[0.99805343,0.000011373487,0.00014615532,0.00028949408,0.0014117783,0.00008773861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064610373,0.0001692252,0.00020542183,0.0002366602,0.00020445413,0.000020978963,0.00021282233,0.00020273887,9.284579e-7],"category_scores_gemma":[0.0017785532,0.00016540602,0.000018141724,0.0005108887,0.0011193213,0.00001895287,0.00018328689,0.00010492105,6.1464164e-7],"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":[0.000037685782,0.00008278096,0.00921788,0.000021242302,0.000018546527,0.0000018091129,0.000040217365,0.0000021045703,0.9737474,0.0034929852,0.000015056492,0.013322313],"study_design_scores_gemma":[0.0007877757,0.0005403561,0.01032437,0.000058779293,0.000017804472,0.000040314557,0.0002318529,0.000107331456,0.98478836,0.0021538162,0.0007563671,0.00019286972],"about_ca_topic_score_codex":0.000038615613,"about_ca_topic_score_gemma":0.0017688381,"teacher_disagreement_score":0.017711576,"about_ca_system_score_codex":0.00022548267,"about_ca_system_score_gemma":0.00035288258,"threshold_uncertainty_score":0.6745062},"labels":[],"label_agreement":null},{"id":"W2014666110","doi":"10.1088/0957-0233/15/9/035","title":"Single-frequency pulsed laser oscillator and system for laser-ultrasonics","year":2004,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Solid State Laser Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Laser; Materials science; Acoustics; Optics; Pulsed laser; Physics","score_opus":0.023253869380395777,"score_gpt":0.20912768517544889,"score_spread":0.1858738157950531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014666110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896735,0.00089579984,0.003916382,0.0013352527,0.000327316,0.0005738101,0.000013352112,0.0024275174,0.0008370831],"genre_scores_gemma":[0.995763,0.000060368322,0.00402818,0.000017583177,0.000012126942,0.00009617135,4.850507e-7,0.000019129477,0.0000029293742],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983818,0.0000035926776,0.00020600978,0.00038624002,0.00050602143,0.00051631813],"domain_scores_gemma":[0.99913603,0.000016399285,0.000037209804,0.00034605246,0.00039369924,0.000070591996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007252705,0.00018555974,0.0002105412,0.00047491386,0.00024717016,0.00007374965,0.00034838667,0.00017561193,7.287001e-7],"category_scores_gemma":[0.00055290497,0.00017018168,0.000016841002,0.0010036372,0.0007476111,0.00021506901,0.000071091294,0.00013949846,0.0000045191114],"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":[0.000009839188,0.00006935424,0.0032096389,0.00040022712,0.000049888156,0.000019001805,0.00013526608,0.0008235622,0.9418105,0.025575405,0.0002050505,0.027692294],"study_design_scores_gemma":[0.0011133059,0.00028698967,0.0002757672,0.00012186223,0.000025996966,0.00006321062,0.001151815,0.001160742,0.9832544,0.010157269,0.0020402295,0.0003484233],"about_ca_topic_score_codex":0.000007997853,"about_ca_topic_score_gemma":0.000060550083,"teacher_disagreement_score":0.041443914,"about_ca_system_score_codex":0.0006309928,"about_ca_system_score_gemma":0.00010301967,"threshold_uncertainty_score":0.69398075},"labels":[],"label_agreement":null},{"id":"W2015884743","doi":"10.1088/0957-0233/15/10/015","title":"A new weight updating method for INS/GPS integration architectures based on neural networks","year":2004,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":43,"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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Global Positioning System; GPS/INS; Computer science; Inertial navigation system; Kalman filter; Artificial neural network; Observability; Position (finance); Differential GPS; Real-time computing; Control engineering; Artificial intelligence; Assisted GPS; Inertial frame of reference; Engineering; Telecommunications; Mathematics","score_opus":0.015808257884450037,"score_gpt":0.24702439507025847,"score_spread":0.23121613718580844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015884743","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03875402,0.00007899659,0.95841074,0.0015910964,0.0002333028,0.0002681484,6.0971655e-7,0.00027779987,0.00038529836],"genre_scores_gemma":[0.9576937,0.0000019037938,0.042098314,0.000110887246,0.00006264839,0.000022099952,0.0000013725796,0.000007861733,0.0000012066035],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911207,0.000007323083,0.00012372175,0.00018869343,0.0003386054,0.00022958455],"domain_scores_gemma":[0.9996331,0.0000148964,0.000023946983,0.000120188604,0.00016635249,0.000041539548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006597356,0.0000980633,0.000090695015,0.00029687086,0.00016966842,0.00003244234,0.00013058202,0.000076274744,0.000002055781],"category_scores_gemma":[0.00024308336,0.00008025042,0.000016420008,0.0006620787,0.00007164696,0.00005710876,0.00001085782,0.00014659393,6.407468e-7],"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":[0.000016914006,0.000011755484,0.000078896985,0.000009647854,0.0000040218515,6.659805e-7,0.000054663946,0.31384888,0.21275146,0.007714052,0.00008196201,0.46542707],"study_design_scores_gemma":[0.0004334174,0.00014670168,0.00020230666,0.00003186943,0.0000072902735,0.0000027592246,0.000024545485,0.72873735,0.26626635,0.003782305,0.00026496442,0.00010010558],"about_ca_topic_score_codex":0.000027596881,"about_ca_topic_score_gemma":0.00007735784,"teacher_disagreement_score":0.9189397,"about_ca_system_score_codex":0.00016366171,"about_ca_system_score_gemma":0.00004921559,"threshold_uncertainty_score":0.3272517},"labels":[],"label_agreement":null},{"id":"W2017245924","doi":"10.1088/0957-0233/19/6/065405","title":"Experimental investigation of the formation of acoustic streaming in a rectangular enclosure using a synchronized PIV technique","year":2008,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Thermodynamic Systems and Engines","field":"Engineering","cited_by":19,"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":"Acoustic streaming; Particle image velocimetry; Acoustics; Reynolds number; Enclosure; Particle tracking velocimetry; Displacement (psychology); Mechanics; Velocimetry; Flow (mathematics); Optics; Physics; Materials science; Computer science; Turbulence; Telecommunications; Ultrasonic sensor","score_opus":0.020314340882726857,"score_gpt":0.21148944600268643,"score_spread":0.19117510511995958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017245924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9732845,0.00050948496,0.025823245,0.000010555084,0.000046968198,0.00023140475,5.3221953e-7,0.000043357315,0.00004999543],"genre_scores_gemma":[0.99860406,0.000010812026,0.0013527394,9.1751303e-7,0.0000030361143,0.000023515498,7.938358e-8,0.0000045235483,3.270935e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993084,0.000008877636,0.0001826774,0.000082395934,0.00030614735,0.000111467794],"domain_scores_gemma":[0.99967855,0.0000041025155,0.000055089735,0.00012641281,0.00012496625,0.000010871458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004166857,0.00006186619,0.000109629094,0.0002508536,0.000060420778,0.0000018032512,0.00011749698,0.00005167919,4.5962113e-7],"category_scores_gemma":[0.00008408943,0.000048453683,0.000009626054,0.0008384801,0.00033743394,0.00014329834,0.000027563161,0.00005755546,4.327684e-8],"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":[8.356233e-7,0.000004645414,0.0011439614,0.0000384304,0.0000014772976,4.1180124e-7,0.0002475123,0.0040111113,0.9941652,0.00009721309,4.5144128e-7,0.00028877592],"study_design_scores_gemma":[0.00013937647,0.000021383754,0.0008468241,0.0001780047,0.0000026883836,0.000031882482,0.00043362827,0.089697406,0.90834635,0.0002517411,0.0000018645698,0.000048817492],"about_ca_topic_score_codex":0.000020337537,"about_ca_topic_score_gemma":0.000015681127,"teacher_disagreement_score":0.08581879,"about_ca_system_score_codex":0.00023847722,"about_ca_system_score_gemma":0.00005790164,"threshold_uncertainty_score":0.1975884},"labels":[],"label_agreement":null},{"id":"W2018594124","doi":"10.1088/0957-0233/17/6/017","title":"Production and visualization of quaternary combinatorial thin films","year":2006,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Mesoporous Materials and Catalysis","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Quaternary; Software; Component (thermodynamics); Combinatorial synthesis; Materials science; Deposition (geology); Thin film; Sputter deposition; Computer science; Visualization; Diffraction; Computational science; Nanotechnology; Sputtering; Combinatorial chemistry; Physics; Data mining; Optics; Chemistry; Geology","score_opus":0.014802898262233934,"score_gpt":0.2353373025883307,"score_spread":0.22053440432609675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018594124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982398,0.0002124489,0.000126145,0.0003576944,0.00055937486,0.00014056954,0.0000014217707,0.000069772264,0.00029274242],"genre_scores_gemma":[0.9996815,0.000018958654,0.00022567401,0.000007045749,0.000033947148,0.000011936658,8.901453e-7,0.0000038022124,0.000016253845],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99854213,0.000021567059,0.00021703466,0.00031190566,0.0007409569,0.00016642352],"domain_scores_gemma":[0.9991289,0.0000031696347,0.0001313876,0.00017891213,0.0005356368,0.000021997144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023774188,0.00007668356,0.00014356805,0.0002323117,0.00018944347,0.000048288388,0.00015356914,0.00005584279,0.000027165606],"category_scores_gemma":[0.00032639664,0.000062980056,0.000006710275,0.00051694864,0.00074387394,0.00021385538,0.00008932898,0.00002462238,0.000003991034],"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":[0.000007114575,0.00004355027,0.0037083828,0.00002061475,0.0000010137354,5.022269e-7,0.000030183513,0.0000022257589,0.9698375,0.02589071,0.00015402272,0.00030417158],"study_design_scores_gemma":[0.00013851021,0.00008864749,0.0017161858,0.000021344278,0.000011117618,0.00000862124,0.00009027948,0.000086263586,0.9879342,0.009676376,0.00015522764,0.00007327356],"about_ca_topic_score_codex":0.00016697159,"about_ca_topic_score_gemma":0.00002150537,"teacher_disagreement_score":0.018096644,"about_ca_system_score_codex":0.000035560406,"about_ca_system_score_gemma":0.000078129444,"threshold_uncertainty_score":0.27408347},"labels":[],"label_agreement":null},{"id":"W2018885707","doi":"10.1088/0957-0233/21/10/105902","title":"A low-cost spectrometer for NMR measurements in the Earth's magnetic field","year":2010,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":47,"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":"Spectrometer; Programmer; Microcontroller; Computer science; Phase (matter); Pulse (music); Field (mathematics); Magnet; Sample (material); Computer hardware; Nuclear magnetic resonance; Physics; Optics; Electrical engineering; Telecommunications; Embedded system; Engineering","score_opus":0.023263169596939463,"score_gpt":0.3071516439267209,"score_spread":0.2838884743297814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018885707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96608484,0.00003982419,0.006587838,0.012607534,0.00015505694,0.0013849605,0.0000052316063,0.000045098066,0.013089616],"genre_scores_gemma":[0.9981156,9.587185e-7,0.0012451152,0.0001480648,0.000052276584,0.00041205625,5.1137994e-7,0.000003631455,0.000021773158],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99884236,0.0000073214496,0.0001251414,0.00026404753,0.0004466856,0.00031443126],"domain_scores_gemma":[0.99939156,0.000021056967,0.000037298567,0.0003043871,0.00021514097,0.00003057373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013551278,0.0000872988,0.00008686905,0.00018778413,0.00027750072,0.000067597466,0.00043296997,0.00003624477,0.000071135575],"category_scores_gemma":[0.00008463927,0.00006293757,0.000019672334,0.0007121037,0.00027458413,0.00008565556,0.000039431627,0.00021454417,0.000010349771],"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":[0.000005261197,0.00017278957,0.030175848,0.0000043075083,0.0000044635685,1.6583019e-7,0.00007626164,1.8294493e-7,0.7977872,0.10634434,0.00035750453,0.06507166],"study_design_scores_gemma":[0.0009794025,0.000358041,0.011606744,0.000020924837,0.000023647059,0.000003739113,0.0005125751,0.00014304848,0.8862205,0.07480922,0.025057724,0.0002644282],"about_ca_topic_score_codex":0.00002729488,"about_ca_topic_score_gemma":0.00016741815,"teacher_disagreement_score":0.08843329,"about_ca_system_score_codex":0.000016099944,"about_ca_system_score_gemma":0.00010724391,"threshold_uncertainty_score":0.25665197},"labels":[],"label_agreement":null},{"id":"W2019703920","doi":"10.1088/0957-0233/24/9/095005","title":"Preliminary experimental study on the electrical impedance analysis for<i>in-situ</i>monitoring of the curing of carbon/epoxy composite material for aeronautical and aerospace structures","year":2013,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":11,"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":"National Research Council Canada","keywords":"Materials science; Curing (chemistry); Epoxy; Composite material; Composite number; Dimensioning; Aerospace; Electrical impedance; Electrode; Mechanical engineering; Electrical engineering; Engineering","score_opus":0.01907357685005802,"score_gpt":0.2452318282206473,"score_spread":0.22615825137058926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019703920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99848366,0.000035222925,0.00002964573,0.00027162078,0.00014948148,0.000999197,0.0000014018019,0.000010715627,0.000019063773],"genre_scores_gemma":[0.99945956,0.000001246856,0.00036742672,0.000004759266,0.000009091853,0.00015330831,8.029999e-8,0.000003958125,5.4164724e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99872476,0.000031325628,0.00021084562,0.00029124995,0.0005211064,0.00022069889],"domain_scores_gemma":[0.99954844,0.000037009446,0.00011030121,0.00022769684,0.000054196847,0.000022351116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007429044,0.00009851921,0.00018109474,0.000119941535,0.00018676503,0.000025312258,0.0002881328,0.0000454032,0.0000039481547],"category_scores_gemma":[0.00012218756,0.000060753984,0.000024780109,0.0006322844,0.0009509406,0.0000809883,0.00021225192,0.000055469704,1.2531048e-7],"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":[0.000024779574,0.000048776485,0.40252292,0.0000025103711,0.000010005769,4.165046e-8,0.000092174094,0.000011300309,0.5969264,0.00019855257,0.0000011723583,0.00016136971],"study_design_scores_gemma":[0.00018044119,0.00035704902,0.46091494,0.0000052751575,0.000027328695,0.0000015088954,0.00041640498,0.00016706843,0.53759634,0.00029459546,0.0000011480558,0.000037938215],"about_ca_topic_score_codex":0.00013913571,"about_ca_topic_score_gemma":0.000037347116,"teacher_disagreement_score":0.05933009,"about_ca_system_score_codex":0.00013660065,"about_ca_system_score_gemma":0.000016849957,"threshold_uncertainty_score":0.35037804},"labels":[],"label_agreement":null},{"id":"W2021442039","doi":"10.1088/0957-0233/22/12/125108","title":"Fastening tool tracking system using a Kalman filter and particle filter combination","year":2011,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Waterloo","funders":"","keywords":"Inertial measurement unit; Kalman filter; Particle filter; Position (finance); Tracking (education); Orientation (vector space); Computer science; Tracking system; Control theory (sociology); Extended Kalman filter; Angular velocity; Computer vision; Artificial intelligence; Physics; Mathematics","score_opus":0.07275922026388261,"score_gpt":0.23805434970375583,"score_spread":0.16529512943987323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021442039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95351374,0.00043981674,0.043756306,0.000044365748,0.00012374422,0.00023649537,5.009028e-7,0.0007262281,0.001158777],"genre_scores_gemma":[0.99315673,0.000015771358,0.0067539583,0.000017567876,0.000010404506,0.000030610343,1.1265597e-7,0.00001199493,0.0000028502209],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987703,0.000012274493,0.00018897917,0.0002602816,0.00041571184,0.0003524439],"domain_scores_gemma":[0.99942255,0.000005112758,0.000041178046,0.000152382,0.00033114917,0.000047630358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013165931,0.00013161528,0.00015666442,0.00031932667,0.00022625357,0.000030084679,0.00014744296,0.00009035897,0.0000044016456],"category_scores_gemma":[0.00011179611,0.0001228097,0.000011891481,0.00050396135,0.00031111224,0.00041369002,0.0000598888,0.0001298427,0.0000016410354],"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":[0.000005886458,0.000021898668,0.02234988,0.000056424644,0.000014901007,0.0000060343264,0.0002021568,0.0000073913398,0.94357264,0.007171787,0.000015036692,0.026575984],"study_design_scores_gemma":[0.0005854811,0.00019061282,0.008845914,0.00015888645,0.00004709378,0.000051864612,0.0008136565,0.023576675,0.9629076,0.002139778,0.00035231677,0.00033012885],"about_ca_topic_score_codex":0.0000044969365,"about_ca_topic_score_gemma":0.0000058593464,"teacher_disagreement_score":0.039642967,"about_ca_system_score_codex":0.0002063833,"about_ca_system_score_gemma":0.00002474213,"threshold_uncertainty_score":0.5008034},"labels":[],"label_agreement":null},{"id":"W2022123040","doi":"10.1088/0957-0233/23/2/025001","title":"A robust method for probe tip radius correction in coordinate metrology","year":2011,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Deutsche Forschungsgemeinschaft; University of Cambridge","keywords":"Metrology; Dimensional metrology; Coordinate-measuring machine; RADIUS; Computer science; Coordinate system; Ball (mathematics); Process (computing); Point (geometry); Context (archaeology); Algorithm; Optics; Artificial intelligence; Physics; Mathematics; Geometry","score_opus":0.06758272625103089,"score_gpt":0.25650851184467355,"score_spread":0.18892578559364265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022123040","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014915761,0.000821769,0.9765625,0.0003008545,0.0007659334,0.000912132,0.0000010342296,0.00093836384,0.004781653],"genre_scores_gemma":[0.89307135,0.00006395386,0.10647746,0.000043074186,0.000013854974,0.00029111063,3.7172018e-7,0.00001639582,0.000022427112],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985323,0.000020833433,0.00023437978,0.00037880882,0.0003223387,0.0005113506],"domain_scores_gemma":[0.99919534,0.00001742614,0.000047888458,0.00021752417,0.0004692242,0.00005258203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034865455,0.00016363001,0.000252518,0.0012309179,0.00012291738,0.000009379107,0.00027543696,0.00018402428,0.000006960428],"category_scores_gemma":[0.0005850241,0.00015491988,0.00002149307,0.0012931551,0.00037972166,0.00020515823,0.00004402759,0.00021740602,0.0000018663737],"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":[0.000102198566,0.00015129837,0.015702926,0.00007142184,0.000048095066,0.000008361958,0.0003017301,0.00019258115,0.7135283,0.016386874,0.0011937246,0.25231254],"study_design_scores_gemma":[0.0017423974,0.001005871,0.0042889197,0.00006082327,0.000058359252,0.000063489715,0.00038225955,0.028418297,0.9175708,0.03406243,0.011806787,0.0005395262],"about_ca_topic_score_codex":0.000017552136,"about_ca_topic_score_gemma":0.00016320327,"teacher_disagreement_score":0.8781556,"about_ca_system_score_codex":0.00032956642,"about_ca_system_score_gemma":0.0000756496,"threshold_uncertainty_score":0.6317449},"labels":[],"label_agreement":null},{"id":"W2023188893","doi":"10.1088/0957-0233/25/3/035004","title":"Region of interest selection of long core plug samples by magnetic resonance imaging: profiling and local <i>T</i><sub>2</sub> measurement","year":2014,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":8,"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 New Brunswick","funders":"Saudi Aramco","keywords":"Region of interest; Field of view; Excitation; Magnetic resonance imaging; Optics; Materials science; Nuclear magnetic resonance; Magnetic field; Physics; Computer science; Artificial intelligence","score_opus":0.03365753085412979,"score_gpt":0.26866876750569213,"score_spread":0.23501123665156234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023188893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90027577,0.0008639724,0.09770468,0.0005292521,0.000029577432,0.00027733942,0.0000033755443,0.000033095563,0.00028292259],"genre_scores_gemma":[0.99951136,0.000024268873,0.0003957683,0.000010733052,0.000014132637,0.000036076843,8.663295e-7,0.000005473877,0.0000013176277],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988291,0.000014153749,0.00021919978,0.00031650934,0.00040733573,0.00021368875],"domain_scores_gemma":[0.99902016,0.000009374576,0.00013874468,0.00017986419,0.00061010476,0.00004177599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000878034,0.00010554716,0.00015783781,0.00016742542,0.00016628,0.00001605583,0.00016915305,0.000030151836,0.0000019935972],"category_scores_gemma":[0.000052596784,0.000098132354,0.000015053319,0.0005757073,0.0010490299,0.000092519374,0.00005325992,0.00010858215,4.946459e-7],"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":[0.000005769879,0.000054872748,0.09688101,0.000014414397,0.000002502354,5.5030313e-8,0.000012621755,7.131028e-7,0.75644416,0.023026217,0.00007578807,0.123481885],"study_design_scores_gemma":[0.00025982334,0.00014131071,0.0058083613,0.00007846242,0.000016323296,0.0000034040895,0.00013543558,0.0007807029,0.98613155,0.006040726,0.0005111201,0.000092761715],"about_ca_topic_score_codex":0.000052623043,"about_ca_topic_score_gemma":0.000043051787,"teacher_disagreement_score":0.22968742,"about_ca_system_score_codex":0.00006125404,"about_ca_system_score_gemma":0.00009965291,"threshold_uncertainty_score":0.4001721},"labels":[],"label_agreement":null},{"id":"W2023537970","doi":"10.1088/0957-0233/15/1/002","title":"A method to anchor displacement vectors to reduce uncertainty and improve particle image velocimetry results","year":2003,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":14,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Particle image velocimetry; Displacement (psychology); Velocimetry; Flow (mathematics); Measure (data warehouse); Cross-correlation; Flow velocity; Mechanics; Particle (ecology); Physics; Mathematics; Computer science; Mathematical analysis; Geology; Turbulence","score_opus":0.012916202265162746,"score_gpt":0.2516737688682824,"score_spread":0.23875756660311967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023537970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97807294,0.0003084228,0.016834242,0.0024401397,0.0002841976,0.00058059033,0.000011127442,0.0002245509,0.0012437922],"genre_scores_gemma":[0.98022944,0.000016558479,0.019556573,0.00008744548,0.000009880242,0.00006120949,2.617961e-7,0.000010915037,0.000027745395],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99834526,0.000017552862,0.00020609862,0.00044922097,0.00051753584,0.00046433375],"domain_scores_gemma":[0.99922776,0.000014450915,0.000018314775,0.0002894563,0.00025269907,0.00019733112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023842556,0.00014883399,0.00015644294,0.00029181238,0.00016484252,0.00006956106,0.00018243637,0.00005953459,0.0000037684206],"category_scores_gemma":[0.00061770057,0.00013320627,0.00001167329,0.0013229185,0.00014354689,0.00010102044,0.00008970517,0.000111981106,0.00001122317],"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":[0.000017402675,0.000026395337,0.00025199098,0.00001554125,0.000012520932,0.0000029226308,0.00014979052,0.0012165139,0.96291435,0.0046744696,0.00051886495,0.030199258],"study_design_scores_gemma":[0.0012972052,0.00060661155,0.00224412,0.00006172322,0.000031345742,0.000015258344,0.0003808656,0.10545416,0.8591309,0.0011973905,0.028991874,0.00058850704],"about_ca_topic_score_codex":0.00002141229,"about_ca_topic_score_gemma":0.000032478838,"teacher_disagreement_score":0.104237646,"about_ca_system_score_codex":0.00026430527,"about_ca_system_score_gemma":0.00006541995,"threshold_uncertainty_score":0.54319936},"labels":[],"label_agreement":null},{"id":"W2024957828","doi":"10.1088/0957-0233/19/6/065602","title":"A 360° angularly ranging time-domain terahertz spectroscopy system","year":2008,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Terahertz technology and applications","field":"Engineering","cited_by":9,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Terahertz radiation; Optics; Detector; Polarization (electrochemistry); Spectroscopy; Terahertz spectroscopy and technology; Time domain; Terahertz time-domain spectroscopy; Materials science; SIGNAL (programming language); Physics; Wavelength; Computer science","score_opus":0.009367277816325145,"score_gpt":0.18542122162863392,"score_spread":0.17605394381230877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024957828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9684573,0.0012419742,0.01677017,0.0015500031,0.00014317948,0.00038043785,0.0000025690535,0.0033586035,0.008095812],"genre_scores_gemma":[0.9955097,0.000024217528,0.0042925267,0.000025752312,0.00001932342,0.000087428765,3.6871924e-7,0.000013733815,0.000026946955],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99862796,0.0000067093324,0.00016881891,0.00030549173,0.00047355943,0.00041744657],"domain_scores_gemma":[0.9993389,0.0000055936157,0.000026733955,0.0003801515,0.00019335559,0.000055267832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064413616,0.00014378745,0.00016757623,0.00056095363,0.00051159493,0.000023958117,0.00039848854,0.00013787602,0.000009636433],"category_scores_gemma":[0.0000485006,0.00013658204,0.000018169536,0.0014266256,0.0008508373,0.00015660847,0.00006133813,0.00020043818,0.000093452414],"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":[0.0000016774966,0.00001884312,0.0015392576,0.000016678663,0.0000135124255,0.000017339493,0.00009004339,0.0000038688486,0.9757734,0.010220895,0.00062592124,0.011678555],"study_design_scores_gemma":[0.001034609,0.0001711391,0.003987244,0.00013128751,0.000030234503,0.0008722184,0.0007800531,0.009030856,0.9067316,0.004164149,0.07233691,0.0007296886],"about_ca_topic_score_codex":0.0000034033817,"about_ca_topic_score_gemma":0.000003769912,"teacher_disagreement_score":0.071711,"about_ca_system_score_codex":0.00030202724,"about_ca_system_score_gemma":0.000070819915,"threshold_uncertainty_score":0.55696535},"labels":[],"label_agreement":null},{"id":"W2026866889","doi":"10.1088/0957-0233/23/10/105801","title":"Onboard calibration and monitoring for the SWIFT instrument","year":2012,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","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":"York University","funders":"","keywords":"Calibration; Michelson interferometer; Remote sensing; Swift; Interferometry; Doppler effect; Optics; Physics; Phase (matter); Environmental science; Computer science; Geology","score_opus":0.04395743346873247,"score_gpt":0.23257469127592056,"score_spread":0.1886172578071881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026866889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908269,0.0032308763,0.0011822394,0.0033300326,0.00044010355,0.0002797822,0.000001974351,0.00005334566,0.0006547168],"genre_scores_gemma":[0.99837273,0.00017882175,0.0013158098,0.00005733388,0.000056065837,0.0000074933573,2.7562945e-7,0.000001097927,0.000010341716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990858,0.0000059488843,0.0000846544,0.00014203384,0.00039111948,0.00029046868],"domain_scores_gemma":[0.9996889,0.000022824663,0.000033601427,0.00010492744,0.00009279416,0.00005693515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013418628,0.000061962615,0.00006206692,0.000027664515,0.0005253004,0.00005351261,0.00013229768,0.0000360801,0.00001850542],"category_scores_gemma":[0.000123484,0.00003781717,0.000006851964,0.00031572543,0.00038438992,0.0003162536,0.00002126354,0.000051936273,0.000003061333],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043141104,0.0000060137477,0.7572223,0.0000053201406,0.0000045460215,9.3636025e-8,0.00008910435,0.0000053314916,0.002092392,0.0012487195,0.00003316726,0.23928869],"study_design_scores_gemma":[0.00058114046,0.0003966163,0.91904294,0.00003060938,0.000056754525,0.0000277288,0.0046790633,0.012207249,0.036164094,0.002926617,0.023570076,0.00031712613],"about_ca_topic_score_codex":0.00009535095,"about_ca_topic_score_gemma":0.000079526806,"teacher_disagreement_score":0.23897156,"about_ca_system_score_codex":0.0000105088575,"about_ca_system_score_gemma":0.000047635313,"threshold_uncertainty_score":0.4040239},"labels":[],"label_agreement":null},{"id":"W2027082472","doi":"10.1088/0957-0233/16/11/013","title":"Long-period gratings in optical fibres for chemical sensor applications","year":2005,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":13,"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 Waterloo; University of Toronto","funders":"","keywords":"Period (music); Materials science; Optics; Optical fiber; Optoelectronics; Acoustics; Physics","score_opus":0.01575218189228058,"score_gpt":0.23993491344074896,"score_spread":0.22418273154846838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027082472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87391675,0.0004905039,0.11693644,0.005357868,0.00006917456,0.0010039428,0.000003134696,0.00067946955,0.0015427459],"genre_scores_gemma":[0.9540299,0.000008978569,0.045698725,0.000023168195,0.00002608549,0.00019719027,3.336362e-7,0.000009088435,0.0000065312083],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989859,0.0000013258199,0.00015306535,0.00024093478,0.00030667105,0.0003121153],"domain_scores_gemma":[0.9995612,0.000014591459,0.000013649703,0.00017416518,0.00018914137,0.000047239657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036569292,0.00009023813,0.00010990683,0.00023301797,0.0000717438,0.000019037958,0.00017650695,0.00008244185,0.0000024568103],"category_scores_gemma":[0.00026691676,0.00008825006,0.000010369833,0.00064437196,0.0004387072,0.00011136862,0.00003147664,0.00011297323,0.0000073944507],"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":[0.0000038306994,0.000038838807,0.0008383188,0.000028561828,0.0000050874874,0.0000013407735,0.00010641947,0.0010795003,0.85481906,0.009214446,0.000076744,0.13378784],"study_design_scores_gemma":[0.00089287217,0.00007818999,0.0006807796,0.000042911986,0.000013477419,0.0000662528,0.0005947099,0.05668924,0.92184854,0.0028444685,0.015815694,0.00043284727],"about_ca_topic_score_codex":4.0909882e-7,"about_ca_topic_score_gemma":0.000009705198,"teacher_disagreement_score":0.13335499,"about_ca_system_score_codex":0.00021198328,"about_ca_system_score_gemma":0.00003577095,"threshold_uncertainty_score":0.35987332},"labels":[],"label_agreement":null},{"id":"W2027450238","doi":"10.1088/0957-0233/18/7/017","title":"Analysis of assistance data on AGPS performance","year":2007,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"GNSS positioning and interference","field":"Engineering","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":"University of Calgary","funders":"","keywords":"Global Positioning System; Computer science; Mobile phone tracking; GPS tracking server; Time to first fix; Software deployment; Sensitivity (control systems); Precision Lightweight GPS Receiver; Real-time computing; Mobile phone; Ranging; Assisted GPS; SIGNAL (programming language); Position (finance); GPS signals; Telecommunications; Gps receiver; Mobile telephony; GSM services; Engineering; Electronic engineering; Mobile radio","score_opus":0.044637167264291254,"score_gpt":0.25274889931576916,"score_spread":0.2081117320514779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027450238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97999537,0.00019139118,0.0052536023,0.00008621284,0.00009179685,0.000038000253,0.000003633767,0.000121877776,0.014218104],"genre_scores_gemma":[0.99966073,0.000035488367,0.00027731567,0.000011775553,0.000003844846,0.0000014118606,0.0000010468935,0.000002370997,0.0000060367065],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989905,0.0000019469999,0.00013120702,0.00019237431,0.00050235604,0.00018165793],"domain_scores_gemma":[0.9992435,0.000007236435,0.000025300846,0.00044184283,0.00025599296,0.000026101494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016096749,0.000057676527,0.00010744024,0.0007350527,0.000077754004,0.000011938274,0.00044149588,0.00003703746,0.0000039891897],"category_scores_gemma":[0.00013149643,0.000051319003,0.0000074297645,0.0021489668,0.0003225499,0.0001279404,0.000054904205,0.000083796476,0.0000031347372],"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":[0.000025974992,0.00015715798,0.163742,0.000092428956,0.0003959892,0.0000036745416,0.00019741853,0.0023918953,0.5605822,0.015334344,0.00096700183,0.25610992],"study_design_scores_gemma":[0.00021979184,0.00026870563,0.36667225,0.00014091982,0.00019125028,0.0000040500317,0.00020720258,0.13461377,0.49463436,0.0001419425,0.002629392,0.0002763793],"about_ca_topic_score_codex":0.0000032536711,"about_ca_topic_score_gemma":0.000036464386,"teacher_disagreement_score":0.25583354,"about_ca_system_score_codex":0.000078334924,"about_ca_system_score_gemma":0.000025240577,"threshold_uncertainty_score":0.20927282},"labels":[],"label_agreement":null},{"id":"W2029394408","doi":"10.1088/0957-0233/18/11/l01","title":"Optical distortion correction for liquid droplet visualization using the ray tracing method: further considerations","year":2007,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":54,"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 Victoria","funders":"","keywords":"Distortion (music); Work (physics); Optics; Ray tracing (physics); Visualization; Physics; Line (geometry); Surface (topology); Algorithm; Computer science; Mathematics; Geometry; Artificial intelligence; Optoelectronics","score_opus":0.02926838739762005,"score_gpt":0.2837429807000879,"score_spread":0.25447459330246786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029394408","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16006519,0.00011011262,0.8383183,0.00028883558,0.0006855158,0.00024120184,6.183303e-7,0.00013405563,0.00015617673],"genre_scores_gemma":[0.9933607,0.000008507027,0.00653633,0.000030133553,0.00003368938,0.00001705341,7.593012e-7,0.000008957775,0.0000038979324],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991109,0.000007765695,0.00016848525,0.0001635612,0.00033128908,0.00021800437],"domain_scores_gemma":[0.999417,0.000037922997,0.000026120539,0.00011723322,0.0003723825,0.000029344268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025888945,0.000076955446,0.00007798822,0.000241831,0.00038110602,0.000045985984,0.00006491031,0.00007059917,0.0000035081164],"category_scores_gemma":[0.00041528523,0.000060743678,0.000014959785,0.0004917697,0.00018577796,0.00012334187,0.000015410824,0.00007777796,5.797694e-7],"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":[0.000015753434,0.00003685902,0.00024544096,0.000021085109,0.000019326437,0.0000011415692,0.0004403261,0.05036256,0.89414436,0.035800863,0.00016520469,0.01874711],"study_design_scores_gemma":[0.0001443659,0.00007247124,0.0001467537,0.000014989446,0.000021483966,0.000017702558,0.0002188139,0.9221771,0.07589474,0.00072679634,0.00046890325,0.00009588761],"about_ca_topic_score_codex":0.0000056897097,"about_ca_topic_score_gemma":0.000086387125,"teacher_disagreement_score":0.87181455,"about_ca_system_score_codex":0.00023997767,"about_ca_system_score_gemma":0.000049497816,"threshold_uncertainty_score":0.2931198},"labels":[],"label_agreement":null},{"id":"W2030321895","doi":"10.1088/0957-0233/17/6/042","title":"A multifibre optic sensor to measure the liquid film thickness between a moving bubble and an inclined solid surface","year":2006,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Heat Transfer and Boiling Studies","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":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bubble; Measure (data warehouse); Materials science; Optics; Surface (topology); Solid surface; Computer science; Mechanics; Physics; Mathematics; Geometry","score_opus":0.02763297299801452,"score_gpt":0.25549691610480896,"score_spread":0.22786394310679445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030321895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99161506,0.0007152295,0.0039139064,0.0025552574,0.00008199106,0.0003205277,0.000005083879,0.0003943204,0.00039860804],"genre_scores_gemma":[0.9987457,0.000024198267,0.0011038351,0.000034075867,0.000047127567,0.00002130043,4.128902e-7,0.000013732694,0.000009639442],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983274,0.00002172023,0.00020816944,0.00035120305,0.00064165087,0.00044988643],"domain_scores_gemma":[0.99918365,0.000030916322,0.000011161184,0.0002742472,0.000422809,0.00007723254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019626433,0.00017533534,0.00022477326,0.00018570712,0.0005784506,0.000077918536,0.00028445356,0.00010370586,0.0000013998127],"category_scores_gemma":[0.0001993273,0.00012630339,0.000013995467,0.0008729684,0.0004888545,0.00015359356,0.000089211404,0.00020272026,0.0000038069106],"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":[0.000019741858,0.00004010773,0.011478516,0.00010695988,0.000046692207,0.000009353512,0.0010976816,0.0059096264,0.9689824,0.0005887438,0.0001389836,0.011581213],"study_design_scores_gemma":[0.002230967,0.0015912689,0.05963579,0.0005540997,0.00025332312,0.00010384988,0.005679455,0.051338814,0.8711449,0.0016733863,0.0039080675,0.0018860773],"about_ca_topic_score_codex":0.000097020726,"about_ca_topic_score_gemma":0.00027494621,"teacher_disagreement_score":0.09783748,"about_ca_system_score_codex":0.00008811094,"about_ca_system_score_gemma":0.00007294118,"threshold_uncertainty_score":0.5150503},"labels":[],"label_agreement":null},{"id":"W2032099620","doi":"10.1088/0957-0233/18/8/l01","title":"Sub-micron resolution magnetic force microscopy mapping of current paths with large probe-to-sample separation","year":2007,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","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":"University of Manitoba","funders":"","keywords":"Magnetic force microscope; Resolution (logic); Materials science; Current (fluid); Sample (material); Microscopy; Scanning probe microscopy; Separation (statistics); Atomic force microscopy; High resolution; Non-contact atomic force microscopy; Optics; Conductive atomic force microscopy; Magnetic field; Nanotechnology; Physics; Chemistry; Computer science; Magnetization; Remote sensing; Geology; Chromatography; Artificial intelligence","score_opus":0.01887217292826879,"score_gpt":0.29886451410025283,"score_spread":0.279992341171984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032099620","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4146478,0.00016241631,0.58400154,0.000202616,0.000025160627,0.00054939213,0.000013351488,0.000055971705,0.0003417842],"genre_scores_gemma":[0.98551625,0.0000055483697,0.014352168,0.0000146342145,0.000015942593,0.00007291748,0.0000050196386,0.0000069995695,0.00001051262],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99867004,0.0000056646,0.0002233398,0.00033195052,0.00038147895,0.00038754207],"domain_scores_gemma":[0.99898726,0.00000717959,0.0001105782,0.0002573302,0.0005800029,0.00005766383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012102531,0.00011521797,0.00012754709,0.00034979332,0.00029305313,0.00002851641,0.00021209562,0.000036908794,0.000009474213],"category_scores_gemma":[0.000021021144,0.000100404875,0.000015401403,0.0012352519,0.0003149251,0.000097966324,0.00008801321,0.00010914529,0.000004465384],"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":[0.000011191623,0.00009009155,0.014156566,0.000013064181,0.0000024491983,6.562029e-8,0.00008057436,0.0000015499247,0.9327243,0.036957122,0.000109440225,0.015853573],"study_design_scores_gemma":[0.0002984819,0.00036317488,0.0024282248,0.000097559976,0.000011398065,0.000001151604,0.00033494201,0.00015524698,0.9770853,0.004742724,0.014319334,0.00016246318],"about_ca_topic_score_codex":0.00004190022,"about_ca_topic_score_gemma":0.000038713537,"teacher_disagreement_score":0.5708685,"about_ca_system_score_codex":0.00010338038,"about_ca_system_score_gemma":0.00014341954,"threshold_uncertainty_score":0.40943918},"labels":[],"label_agreement":null},{"id":"W2032761641","doi":"10.1088/0957-0233/19/9/095202","title":"Dynamic calibration of tri-axial piezoelectric force transducers","year":2008,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Hydraulic and Pneumatic Systems","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":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transducer; Calibration; Acoustics; Piezoelectricity; Force transducer; Impulse (physics); Hammer; Force dynamics; Physics; Optics; Materials science; Classical mechanics; Engineering","score_opus":0.01754468933116581,"score_gpt":0.2024072919819405,"score_spread":0.18486260265077467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032761641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9051882,0.000721449,0.090505004,0.00030253734,0.0002150802,0.00025104437,9.978055e-7,0.000264617,0.0025510371],"genre_scores_gemma":[0.99971616,0.000090718524,0.00014878092,0.0000060546404,0.0000051374427,0.0000132607465,2.3035074e-7,0.0000052867476,0.000014347878],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989561,0.0000064157093,0.00018103092,0.00012973098,0.0005354856,0.0001912228],"domain_scores_gemma":[0.99966186,0.000006030909,0.000026321912,0.00013422147,0.00013894151,0.000032608103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056459114,0.00007241096,0.00013367768,0.00036957825,0.00010260976,0.0000054353004,0.00016040014,0.00006626617,0.000005007105],"category_scores_gemma":[0.00008401733,0.00006463484,0.000012861116,0.0011251152,0.0003172505,0.0001096369,0.000007695899,0.00006470333,0.0000018437732],"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":[0.000005468637,0.000032685028,0.0019939514,0.0001111489,0.000025459574,0.0000044226217,0.00073442265,0.0013063566,0.9183664,0.0016058031,0.00030463285,0.07550928],"study_design_scores_gemma":[0.00092557864,0.00033175029,0.0016092426,0.00007232858,0.000023353177,0.00015850167,0.00037194422,0.77700853,0.2168825,0.0011704402,0.00109783,0.00034801714],"about_ca_topic_score_codex":0.000009554627,"about_ca_topic_score_gemma":0.00001483552,"teacher_disagreement_score":0.7757022,"about_ca_system_score_codex":0.00010987474,"about_ca_system_score_gemma":0.0001099813,"threshold_uncertainty_score":0.26357323},"labels":[],"label_agreement":null},{"id":"W2033389762","doi":"10.1088/0957-0233/14/6/313","title":"Piston cylinder pressure balance design with a negligible distortion coefficient","year":2003,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Elasticity and Material Modeling","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":"Queen's University","funders":"","keywords":"Piston (optics); Cylinder; Distortion (music); Materials science; Finite element method; Mechanics; Modulus; Poisson's ratio; Deformation (meteorology); Mechanical engineering; Poisson distribution; Optics; Mathematics; Physics; Thermodynamics; Composite material; Engineering","score_opus":0.019118213296726486,"score_gpt":0.19165397987922897,"score_spread":0.17253576658250247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033389762","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13018008,0.0008268079,0.86596537,0.00012112222,0.00025562302,0.00027813643,7.3521693e-7,0.00040213135,0.0019699929],"genre_scores_gemma":[0.99732476,0.000023162596,0.0025879198,0.000012952804,0.0000058614028,0.0000271684,9.4908394e-8,0.0000074155582,0.0000106515845],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99896616,0.000009260258,0.000096539385,0.00020413494,0.00046393162,0.00026000035],"domain_scores_gemma":[0.999545,0.0000042675206,0.000019000134,0.000143963,0.00024584838,0.000041926116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072070525,0.000092784554,0.000095134565,0.00016508224,0.00017141424,0.000035722158,0.0001147807,0.000058778674,0.0000052220125],"category_scores_gemma":[0.00012623407,0.00007582559,0.000004733638,0.00050066103,0.00026016636,0.000111467256,0.000013687659,0.00008222688,0.000004031438],"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":[0.000023059385,0.0000805536,0.0010657953,0.00011228519,0.000026310172,0.000005737975,0.00017473547,0.15809773,0.8167123,0.020479036,0.00022354974,0.002998897],"study_design_scores_gemma":[0.00073937426,0.00034364994,0.00030719815,0.00014059935,0.00005101049,0.00004383365,0.0001570292,0.10033064,0.88321745,0.0023008,0.011944084,0.00042432384],"about_ca_topic_score_codex":0.0000031764748,"about_ca_topic_score_gemma":0.000007380828,"teacher_disagreement_score":0.8671447,"about_ca_system_score_codex":0.00010651341,"about_ca_system_score_gemma":0.000083252984,"threshold_uncertainty_score":0.30920777},"labels":[],"label_agreement":null},{"id":"W2034279445","doi":"10.1088/0957-0233/16/12/015","title":"Capacitance-based sensor for monitoring bees passing through a tunnel","year":2005,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"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 Prince Edward Island","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Capacitance; Bumblebee; Foraging; Computer science; Electro-optical sensor; Range (aeronautics); Acoustics; Materials science; Electrical engineering; Artificial intelligence; Engineering; Ecology; Physics; Biology","score_opus":0.03987597295720248,"score_gpt":0.2747906027017496,"score_spread":0.23491462974454713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034279445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935243,0.00049466616,0.0028875116,0.0024343715,0.0001972999,0.00022112757,0.000002903475,0.00004223042,0.00019558844],"genre_scores_gemma":[0.99170417,0.000023063492,0.007786766,0.00018971057,0.00016082646,0.000087229026,0.000001406682,0.0000071049412,0.00003971922],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989228,0.000008087418,0.0001266329,0.0003483432,0.00023997916,0.0003541075],"domain_scores_gemma":[0.99928147,0.0000043414184,0.00004967194,0.0001851192,0.00044499227,0.00003439868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006635306,0.000110911664,0.00010379894,0.00010391857,0.00050939486,0.000025718547,0.00018216867,0.00015401068,0.0000028904271],"category_scores_gemma":[0.00021728169,0.00009880857,0.000027363736,0.00022464445,0.0005898184,0.000014681521,0.000029623781,0.00007658902,0.0000024963729],"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":[0.000017438157,0.000050785213,0.010506244,0.0000067633828,0.000004909854,6.0212824e-7,0.000019300835,0.0000058767478,0.97861266,0.00021802388,0.00014503759,0.010412378],"study_design_scores_gemma":[0.00045330613,0.00024452206,0.0016234706,0.000014948585,0.000014731465,0.000008195312,0.00016488774,0.00005192306,0.9872144,0.00018390034,0.009886273,0.00013946478],"about_ca_topic_score_codex":0.0000019951945,"about_ca_topic_score_gemma":0.000029763829,"teacher_disagreement_score":0.010272914,"about_ca_system_score_codex":0.000060516413,"about_ca_system_score_gemma":0.00018072309,"threshold_uncertainty_score":0.40292963},"labels":[],"label_agreement":null},{"id":"W2035050608","doi":"10.1088/0957-0233/13/12/304","title":"The influence of permittivity models on phantom images obtained from electrical capacitance tomography","year":2002,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":64,"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 Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical capacitance tomography; Imaging phantom; Materials science; Permittivity; Capacitance; Tomography; Relative permittivity; Iterative reconstruction; Dielectric; Optics; Physics; Computer science; Electrode; Computer vision; Optoelectronics","score_opus":0.015495325125306028,"score_gpt":0.18967511147839228,"score_spread":0.17417978635308626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035050608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928998,0.004108675,0.000327967,0.0006030463,0.000045244706,0.00014956496,0.0000043546443,0.00023583192,0.0016255409],"genre_scores_gemma":[0.9988853,0.0008965428,0.00014430236,0.00003212595,0.000010920907,0.0000208999,7.326095e-8,0.000005824231,0.0000040327227],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99822676,0.000014974899,0.00018448477,0.00027979544,0.00087050704,0.00042346687],"domain_scores_gemma":[0.99916726,0.000055774926,0.000040857834,0.00028596853,0.0003921317,0.000058019832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061274105,0.0001394187,0.00016220575,0.00038301758,0.00026418892,0.000031972228,0.00045020587,0.00007987881,0.000002111299],"category_scores_gemma":[0.00022069475,0.000092714596,0.000034511806,0.0030416872,0.001064252,0.00018677548,0.000022110233,0.00023143795,0.000002841637],"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":[0.000010395222,0.00009161554,0.005661874,0.000009799714,0.000031424705,0.0000030823733,0.00005514631,0.00040086324,0.8910806,0.0070445943,0.00037916127,0.09523143],"study_design_scores_gemma":[0.0005986255,0.0006409676,0.030543363,0.00008278586,0.000033429398,0.0000075430776,0.000076893804,0.05689333,0.8692507,0.040421434,0.00094574,0.0005051501],"about_ca_topic_score_codex":0.000014424203,"about_ca_topic_score_gemma":0.000013794942,"teacher_disagreement_score":0.09472628,"about_ca_system_score_codex":0.00006685978,"about_ca_system_score_gemma":0.00001948335,"threshold_uncertainty_score":0.39212808},"labels":[],"label_agreement":null},{"id":"W2035179658","doi":"10.1088/0957-0233/18/7/016","title":"A new multi-position calibration method for MEMS inertial navigation systems","year":2007,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":379,"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 Calgary","funders":"","keywords":"Global Positioning System; Inertial navigation system; Calibration; Gyroscope; Computer science; Inertial measurement unit; Accelerometer; GPS/INS; Position (finance); Inertial frame of reference; GPS signals; Simulation; Remote sensing; Assisted GPS; Artificial intelligence; Engineering; Aerospace engineering; Telecommunications; Geography; Physics","score_opus":0.026035861361663727,"score_gpt":0.2753726007836993,"score_spread":0.24933673942203557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035179658","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05160822,0.00020783154,0.9466336,0.00022667198,0.00048474845,0.00040982527,0.0000013268344,0.00030264675,0.00012514803],"genre_scores_gemma":[0.977918,0.0000042481697,0.021920929,0.0000124227845,0.000096359734,0.000023455781,0.0000048253173,0.00000875253,0.00001095455],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989461,0.000005815088,0.0001969745,0.00018254833,0.00043004504,0.000238538],"domain_scores_gemma":[0.99938637,0.000011194701,0.00003479049,0.00010048656,0.00041060126,0.00005658565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017866599,0.00008666751,0.000093956114,0.00028817003,0.00016713783,0.000047365887,0.00009413707,0.0001144282,9.378545e-7],"category_scores_gemma":[0.00012585374,0.00008156488,0.000012339705,0.0007143509,0.000063394225,0.00025466923,0.000011096755,0.00007438943,0.0000015010068],"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":[0.000007466887,0.0000069129683,0.000098855984,0.000022252401,0.0000042719785,4.8855213e-7,0.000054061416,0.00061854295,0.94768196,0.0037468625,0.00011182176,0.04764652],"study_design_scores_gemma":[0.0004249756,0.00007267398,0.00029929227,0.000032834912,0.0000134200445,0.000012213106,0.000100763544,0.2571821,0.740328,0.0003650565,0.0010539322,0.00011470301],"about_ca_topic_score_codex":0.00009264559,"about_ca_topic_score_gemma":0.000043459855,"teacher_disagreement_score":0.9263098,"about_ca_system_score_codex":0.00024521898,"about_ca_system_score_gemma":0.00004975954,"threshold_uncertainty_score":0.33261192},"labels":[],"label_agreement":null},{"id":"W2039680188","doi":"10.1088/0957-0233/13/10/313","title":"High-performance digital control system for scanning tunnelling microscopy","year":2002,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","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":"Université de Sherbrooke","funders":"","keywords":"Computer science; Software; Digital signal processing; Detector; Microscope; Digital control; Compensation (psychology); Electronic engineering; Computer hardware; Optics; Engineering; Physics","score_opus":0.015515664448445581,"score_gpt":0.232340097544913,"score_spread":0.21682443309646743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039680188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7872349,0.00023545082,0.20739767,0.00094496645,0.00013110964,0.00086527027,0.000040899005,0.0003591128,0.0027906247],"genre_scores_gemma":[0.9964938,0.0000032357582,0.0031751548,0.000016216485,0.00004162551,0.00021148473,0.000001217497,0.000009130202,0.000048144342],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99888885,0.0000020203743,0.00017530087,0.00031525028,0.00027013264,0.00034847078],"domain_scores_gemma":[0.9992122,0.000007223165,0.00007985543,0.0002173726,0.00043609974,0.0000472521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044482393,0.00011550569,0.00014504336,0.00017295592,0.00056921726,0.00012939147,0.0002786338,0.000038823506,0.000009999101],"category_scores_gemma":[0.000012625784,0.00010402543,0.000019818408,0.00050392834,0.0004063329,0.0002136411,0.000041115298,0.000083634695,0.000013148098],"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":[0.000007839971,0.00011418405,0.019433752,0.000059677543,0.000028183667,2.5802905e-7,0.00005522106,0.000054053304,0.7609407,0.119588174,0.00108359,0.098634385],"study_design_scores_gemma":[0.000994173,0.00022381391,0.00014293542,0.00015087028,0.000030033654,0.0000046063487,0.000511257,0.018729363,0.9644895,0.001758399,0.0126231285,0.00034190775],"about_ca_topic_score_codex":0.000010793013,"about_ca_topic_score_gemma":2.2527884e-7,"teacher_disagreement_score":0.2092589,"about_ca_system_score_codex":0.000100374986,"about_ca_system_score_gemma":0.00003818093,"threshold_uncertainty_score":0.43780166},"labels":[],"label_agreement":null},{"id":"W2040308090","doi":"10.1088/0957-0233/20/12/124012","title":"Computer-assisted design of transducers for ultrasonic sensor systems","year":2009,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":20,"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":"National Research Council Canada","keywords":"Ultrasonic sensor; Transducer; Acoustics; Materials science; Capacitive micromachined ultrasonic transducers; Computer science; Physics","score_opus":0.029587944966157614,"score_gpt":0.216696542781466,"score_spread":0.1871085978153084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040308090","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08540817,0.0004717457,0.9128748,0.000292983,0.00020229055,0.0004729644,0.0000030862252,0.00018665589,0.000087289554],"genre_scores_gemma":[0.9894597,0.000038270497,0.010461684,0.000007552454,0.000012846089,0.000013963759,3.15972e-7,0.0000044125145,0.0000012803453],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991344,0.0000053809918,0.00015685527,0.00015309219,0.00034489855,0.00020536089],"domain_scores_gemma":[0.99940443,0.000016992213,0.00003048761,0.00011330977,0.0004050146,0.000029768546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009623568,0.00007786263,0.00012934659,0.00021739601,0.00008080195,0.000022367085,0.00013736187,0.000058781425,5.1846905e-7],"category_scores_gemma":[0.000086653636,0.00006976638,0.000012141052,0.0004808859,0.00014651028,0.00006300977,0.0000031350992,0.000051806295,4.5637418e-7],"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":[0.0000026764535,0.00001899342,0.000016887525,0.000036359615,0.000007247954,2.7545752e-7,0.000028129325,0.0077574686,0.95226884,0.001311731,0.000053213236,0.03849817],"study_design_scores_gemma":[0.00062079105,0.0006378614,0.0007782248,0.00010147204,0.000035519417,0.000023348111,0.00021097506,0.63242143,0.36379394,0.00087552576,0.00029278154,0.00020810413],"about_ca_topic_score_codex":0.0000011615107,"about_ca_topic_score_gemma":3.9255792e-7,"teacher_disagreement_score":0.9040515,"about_ca_system_score_codex":0.000101527046,"about_ca_system_score_gemma":0.00006505218,"threshold_uncertainty_score":0.28449905},"labels":[],"label_agreement":null},{"id":"W2041995168","doi":"10.1088/0957-0233/14/8/401","title":"A dispersion-free high-speed beam chopper for ultrafast-pulsed-laser applications","year":2003,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Terahertz technology and applications","field":"Engineering","cited_by":12,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ultrashort pulse; Chopper; Optics; Materials science; Dispersion (optics); Laser; Beam (structure); Optoelectronics; Physics","score_opus":0.012019055011075403,"score_gpt":0.20835003001525002,"score_spread":0.19633097500417462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041995168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7100244,0.0021541133,0.23925512,0.021738222,0.00071158307,0.0056656366,0.000109747525,0.0062196325,0.014121558],"genre_scores_gemma":[0.99666554,0.00005065125,0.0024257258,0.00007229967,0.0000142649715,0.0007181074,0.0000020816865,0.000014245862,0.000037078928],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99878913,0.0000033527258,0.00016153617,0.0003478995,0.00032695816,0.00037113854],"domain_scores_gemma":[0.9989436,0.000016484923,0.000025481924,0.0005978872,0.0003529124,0.00006362319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057240884,0.00013693048,0.00013221866,0.00037377517,0.0004344971,0.000027926957,0.0005086958,0.00016110495,0.000019554995],"category_scores_gemma":[0.00028731802,0.0001280629,0.00002112026,0.0011742023,0.0006778965,0.00012396465,0.000042550084,0.00015351719,0.000021857473],"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":[0.000004125601,0.00015711992,0.0012003222,0.000041779054,0.00003798737,5.8580594e-7,0.000042569718,0.00012368317,0.70618343,0.17070657,0.0044186837,0.11708316],"study_design_scores_gemma":[0.00093192083,0.00007975763,0.0005059954,0.000016213962,0.000033880962,0.00001877297,0.00027244625,0.0008521119,0.59156996,0.03324013,0.3721336,0.00034523968],"about_ca_topic_score_codex":0.0000020278396,"about_ca_topic_score_gemma":0.000013532198,"teacher_disagreement_score":0.3677149,"about_ca_system_score_codex":0.00014095702,"about_ca_system_score_gemma":0.00005985701,"threshold_uncertainty_score":0.5222253},"labels":[],"label_agreement":null},{"id":"W2050046025","doi":"10.1088/0957-0233/15/5/011","title":"All-optical measurement of in-plane and out-of-plane Young's modulus and Poisson's ratio in silicon wafers by means of vibration modes","year":2004,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Wafer; Poisson's ratio; Materials science; Vibration; Modulus; Poisson distribution; Plane (geometry); Silicon; Young's modulus; Optics; Composite material; Acoustics; Optoelectronics; Physics; Mathematics; Geometry","score_opus":0.019559565897107657,"score_gpt":0.2258097245255147,"score_spread":0.20625015862840704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050046025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99545217,0.0010654336,0.0025329036,0.000468846,0.000048176764,0.00021716258,0.000003615124,0.00006271126,0.00014899284],"genre_scores_gemma":[0.99796253,0.00054791896,0.0014626003,0.0000042514944,0.0000015651517,0.0000142424415,6.1774693e-7,0.0000055760765,7.0414944e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987172,0.0000037394605,0.00029413757,0.00023137448,0.000530491,0.00022309406],"domain_scores_gemma":[0.99957806,0.000006642841,0.00005909136,0.00015924683,0.00016739959,0.00002958063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000798804,0.000121224395,0.000261256,0.00045735287,0.000025555622,0.000006632883,0.00013057337,0.00012667572,7.012696e-7],"category_scores_gemma":[0.00023818633,0.000111416855,0.000007307844,0.00041454833,0.00068079575,0.0001763039,0.000048599024,0.00012752083,1.2676625e-7],"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":[0.000010555801,0.00004056028,0.0020582199,0.000059157195,0.00000738571,0.0000013204003,0.000113867085,0.00043874225,0.9898573,0.0027726572,0.000005031208,0.004635209],"study_design_scores_gemma":[0.00069301686,0.00019713238,0.0042131636,0.00009658537,0.000008103655,0.000003984015,0.00052026607,0.0007875755,0.9901453,0.0032025622,0.000024593408,0.00010768396],"about_ca_topic_score_codex":0.000073929994,"about_ca_topic_score_gemma":0.00074149424,"teacher_disagreement_score":0.0045275255,"about_ca_system_score_codex":0.00014396926,"about_ca_system_score_gemma":0.00004834226,"threshold_uncertainty_score":0.45434475},"labels":[],"label_agreement":null},{"id":"W2051962570","doi":"10.1088/0957-0233/24/2/025106","title":"Sensitivity alteration of fiber Bragg grating sensors with additive micro-scale bi-material coatings","year":2013,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":14,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Sensitivity (control systems); Coating; Layer (electronics); Fiber Bragg grating; Grating; Plating (geology); Composite material; Fabrication; Optics; Optoelectronics; Electronic engineering","score_opus":0.008627494395728021,"score_gpt":0.19350616536456122,"score_spread":0.1848786709688332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051962570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968623,0.000013726229,0.0018886231,0.00018666591,0.000080386155,0.00026726042,0.000008730826,0.00019575842,0.0004965319],"genre_scores_gemma":[0.9885203,0.000004272117,0.011399769,0.000012334166,0.000016359443,0.000021870279,0.000001318929,0.000012478343,0.000011291194],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99879295,0.000013597319,0.00018059685,0.00024801918,0.0004825008,0.00028233053],"domain_scores_gemma":[0.9989695,0.000021669226,0.000067017136,0.00017439047,0.0007248131,0.00004263806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004768906,0.00013202098,0.00017051864,0.00023329919,0.00012714698,0.000035367393,0.0000797496,0.000071431175,0.000026805661],"category_scores_gemma":[0.00017185177,0.000112215035,0.000009236207,0.0005934088,0.00063936895,0.00031852053,0.000036927635,0.00010764542,0.000010620432],"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":[0.0000026826121,0.000008444577,0.00048546764,0.000013657408,0.0000056134145,0.0000016839607,0.00014645628,0.00059487316,0.99219465,0.000056785986,0.000058958245,0.0064307214],"study_design_scores_gemma":[0.00018741746,0.00008696165,0.0015918002,0.000053366966,0.000007940312,0.000034512283,0.00047517577,0.005612768,0.9915683,0.000120174984,0.00011672213,0.00014480489],"about_ca_topic_score_codex":0.000034221866,"about_ca_topic_score_gemma":0.00003478849,"teacher_disagreement_score":0.009511146,"about_ca_system_score_codex":0.00010798898,"about_ca_system_score_gemma":0.0000386284,"threshold_uncertainty_score":0.45759964},"labels":[],"label_agreement":null},{"id":"W2054008828","doi":"10.1088/0957-0233/22/11/115501","title":"Magnetic resonance imaging inside cylindrical metal containers with an eddy current self-compensated method","year":2011,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","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":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Eddy current; Current (fluid); Materials science; Resonance (particle physics); Nuclear magnetic resonance; Magnetic resonance imaging; Acoustics; Eddy-current testing; Physics; Electrical engineering; Atomic physics; Medicine; Engineering; Radiology","score_opus":0.050839640792284,"score_gpt":0.3239041971132997,"score_spread":0.27306455632101573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054008828","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29079527,0.015532171,0.65939194,0.010238533,0.00022781183,0.004799983,0.000008803088,0.0042851716,0.014720306],"genre_scores_gemma":[0.7249296,0.00007124862,0.27475044,0.000121140714,0.000010405251,0.00010156582,7.1097276e-7,0.00001005033,0.0000048590614],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982704,0.00001774055,0.00019204726,0.00051683804,0.00064745184,0.00035555844],"domain_scores_gemma":[0.99859875,0.0000067544747,0.000068365305,0.0004219484,0.0007637939,0.00014036056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009773469,0.00014815675,0.00022192606,0.000353862,0.00021063043,0.000013226985,0.0002251042,0.000047698486,0.0000112968],"category_scores_gemma":[0.00011636132,0.000108994296,0.000015254074,0.0011995875,0.00072204834,0.00017105146,0.00007964722,0.00024365813,0.0000031424788],"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":[0.000119053795,0.0007462077,0.019491415,0.000019851153,0.0000072609237,0.000048437167,0.00026172426,8.5835694e-7,0.15247926,0.052409556,0.000061385654,0.774355],"study_design_scores_gemma":[0.0069334465,0.007957488,0.0857901,0.00050885347,0.000675675,0.0021721227,0.0031307668,0.017202424,0.6990472,0.036730886,0.13817136,0.001679642],"about_ca_topic_score_codex":0.000026210531,"about_ca_topic_score_gemma":0.000019374454,"teacher_disagreement_score":0.77267534,"about_ca_system_score_codex":0.00016422385,"about_ca_system_score_gemma":0.00027907314,"threshold_uncertainty_score":0.44446582},"labels":[],"label_agreement":null},{"id":"W2054976678","doi":"10.1088/0957-0233/18/7/003","title":"Simultaneous measurement of acoustic and streaming velocities using synchronized PIV technique","year":2007,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":43,"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":"Particle image velocimetry; Acoustic streaming; Acoustics; Waveform; Particle velocity; Velocimetry; Amplitude; Measure (data warehouse); Phase velocity; Physics; Acoustic wave; Phase (matter); Acoustic Doppler velocimetry; Optics; Mechanics; Laser Doppler velocimetry; Computer science","score_opus":0.015475646108764583,"score_gpt":0.22550581394254768,"score_spread":0.2100301678337831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054976678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6224459,0.0012300736,0.37502846,0.000031508698,0.0001721002,0.00033283472,0.0000029358303,0.00022950888,0.00052667654],"genre_scores_gemma":[0.9907467,0.00009703651,0.009109683,0.0000052596265,0.000015813175,0.000008387711,1.2836195e-7,0.000015529615,0.0000014776269],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980156,0.00000563422,0.0002892135,0.00025779314,0.0010169968,0.00041475572],"domain_scores_gemma":[0.99875504,0.00003189632,0.000058780817,0.00021582068,0.00087270245,0.00006576156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031152288,0.00016460771,0.00021848785,0.00049472204,0.00020103568,0.000026966192,0.00021466614,0.0001249114,0.000002226646],"category_scores_gemma":[0.0007389363,0.00015845429,0.000013021649,0.00069208513,0.0008502286,0.000085336134,0.00010166178,0.00017514025,2.9511676e-7],"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":[0.0000031782874,0.000015852378,0.00027926007,0.00009763249,0.000014708056,0.000010063621,0.000044290005,0.004115469,0.9757569,0.0005154098,0.0000032490655,0.019143978],"study_design_scores_gemma":[0.0005603652,0.00020089292,0.000413973,0.00039166512,0.00008751132,0.00009941967,0.0013243889,0.5549658,0.43919027,0.0020807695,0.00017655878,0.0005084219],"about_ca_topic_score_codex":0.00001386809,"about_ca_topic_score_gemma":0.000080997284,"teacher_disagreement_score":0.55085033,"about_ca_system_score_codex":0.00051265623,"about_ca_system_score_gemma":0.00013374409,"threshold_uncertainty_score":0.64615786},"labels":[],"label_agreement":null},{"id":"W2057304927","doi":"10.1088/0957-0233/21/5/055109","title":"Agile harmonic envelope load-pull system enabling reliable and rapid device characterization","year":2010,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","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":"University of Calgary","funders":"Cardiff University","keywords":"Load pull; Amplifier; Computer science; Envelope (radar); Harmonic; Electronic engineering; Power (physics); Heterodyne (poetry); Transistor; Electrical engineering; Voltage; Acoustics; Bandwidth (computing); Telecommunications; Radar; Engineering; Physics","score_opus":0.01890090169934554,"score_gpt":0.1967376359643212,"score_spread":0.17783673426497565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057304927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856088,0.001204831,0.0015294064,0.00041372483,0.00088364276,0.0003900623,0.000002707335,0.001064846,0.008901984],"genre_scores_gemma":[0.99946946,0.0001738761,0.00022718532,0.000024903,0.000026739433,0.00004605847,9.41716e-7,0.000016164118,0.000014682211],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984286,0.0000069138737,0.00021327377,0.00034740334,0.00061841874,0.00038538972],"domain_scores_gemma":[0.9988804,0.0000061265064,0.00004529108,0.00030180172,0.0006858878,0.00008048555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017990263,0.00015282576,0.00016360723,0.00041278268,0.00025172564,0.00010535173,0.00029865332,0.0001634953,0.000011720642],"category_scores_gemma":[0.00023314163,0.00014255154,0.000008723419,0.0011786505,0.0003557884,0.00037407258,0.000012380892,0.00033244968,0.000021341686],"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":[6.8098626e-7,0.0000048134502,0.0006248642,0.000046929086,0.0000066818834,0.0000037889547,0.00004507132,0.0000040840387,0.98010314,0.0027604338,0.000042776475,0.016356733],"study_design_scores_gemma":[0.00019204739,0.000041286523,0.0011701774,0.000087290646,0.000015122386,0.00009053032,0.00018045907,0.0032457751,0.9813623,0.00016531437,0.013233017,0.00021667362],"about_ca_topic_score_codex":0.000017559047,"about_ca_topic_score_gemma":0.000020303205,"teacher_disagreement_score":0.016140059,"about_ca_system_score_codex":0.0003774173,"about_ca_system_score_gemma":0.00023341454,"threshold_uncertainty_score":0.5813083},"labels":[],"label_agreement":null},{"id":"W2057693135","doi":"10.1088/0957-0233/26/5/055601","title":"A comparison of magnetic resonance methods for spatially resolved<i>T</i><sub>2</sub>distribution measurements in porous media","year":2015,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":19,"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 New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Saudi Aramco","keywords":"Adiabatic process; Nuclear magnetic resonance; Spin echo; Computational physics; Materials science; Physics; Porous medium; Optics; Magnetic resonance imaging; Porosity; Thermodynamics","score_opus":0.07129743691783533,"score_gpt":0.3870049762043712,"score_spread":0.31570753928653583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057693135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69770956,0.0031690411,0.2946591,0.0015592739,0.00022399044,0.001334734,0.000043362692,0.00008215241,0.0012187554],"genre_scores_gemma":[0.9881155,0.000005208409,0.011635243,0.000009090311,0.000023888826,0.00019717713,0.0000065635886,0.00000593715,0.000001403295],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99833244,0.00003610196,0.00034303078,0.00035135142,0.000606394,0.00033065822],"domain_scores_gemma":[0.9985007,0.000027568769,0.00014423934,0.00026819893,0.0009821494,0.000077120545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031054958,0.00011904848,0.00024833687,0.00019855174,0.00013116856,0.00002113027,0.00031345204,0.0000559818,0.0000022509407],"category_scores_gemma":[0.00036517932,0.000115560775,0.000020108431,0.0010753497,0.0004890526,0.0001021177,0.00007414417,0.00012080698,0.000001885702],"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":[0.000023993622,0.00022913107,0.06729894,0.000007046612,0.000003946925,6.599644e-8,0.00012145837,0.000006044069,0.6392559,0.02155792,0.00023286992,0.2712627],"study_design_scores_gemma":[0.00085391453,0.00023524855,0.004958937,0.00003676702,0.000018599498,4.467681e-7,0.0003507808,0.00095362373,0.95908517,0.029788842,0.0035817213,0.00013594303],"about_ca_topic_score_codex":0.000056929308,"about_ca_topic_score_gemma":0.00009193153,"teacher_disagreement_score":0.3198293,"about_ca_system_score_codex":0.0001705645,"about_ca_system_score_gemma":0.00042585225,"threshold_uncertainty_score":0.47124317},"labels":[],"label_agreement":null},{"id":"W2063466743","doi":"10.1088/0957-0233/20/12/125701","title":"Fault diagnosis of rotating machinery using an improved HHT based on EEMD and sensitive IMFs","year":2009,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":173,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hilbert–Huang transform; Fault (geology); Computer science; SIGNAL (programming language); Vibration; Instantaneous phase; Mode (computer interface); Pattern recognition (psychology); Artificial intelligence; Speech recognition; Acoustics; Computer vision; Physics","score_opus":0.020333995427409206,"score_gpt":0.2734356338644002,"score_spread":0.25310163843699096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063466743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934739,0.00013103026,0.004728269,0.00045398518,0.00004189034,0.0003225581,0.0000050877193,0.00046622267,0.00037704903],"genre_scores_gemma":[0.9885991,0.000026728401,0.01119508,0.00012986721,0.0000109189405,0.000026003356,6.9058297e-7,0.000011295462,2.9265087e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99858654,0.000021120724,0.00021947404,0.0003468449,0.00052119757,0.00030483786],"domain_scores_gemma":[0.999219,0.000032305292,0.00006302555,0.0002777135,0.00033626982,0.000071709415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012416976,0.00017735975,0.00022538917,0.0006592191,0.00014977319,0.000035485198,0.00018580392,0.00010335239,0.0000020188897],"category_scores_gemma":[0.0005548333,0.00016387958,0.000016178798,0.0007699674,0.00032748387,0.00020327639,0.000036927788,0.00018897981,2.4795224e-7],"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":[0.000008206261,0.00015331022,0.017955253,0.000041789775,0.000008782011,0.0000068519043,0.000094712246,0.0016410585,0.7807203,0.00040478658,0.000038783524,0.19892617],"study_design_scores_gemma":[0.00021699375,0.00039887146,0.005854064,0.00009735378,0.0000128586635,0.00000544735,0.00005412626,0.4762337,0.51658636,0.00034518677,0.000030184245,0.00016486457],"about_ca_topic_score_codex":0.000048062146,"about_ca_topic_score_gemma":0.00003184887,"teacher_disagreement_score":0.47459266,"about_ca_system_score_codex":0.000121501114,"about_ca_system_score_gemma":0.000050628034,"threshold_uncertainty_score":0.6682815},"labels":[],"label_agreement":null},{"id":"W2068474861","doi":"10.1088/0957-0233/17/7/013","title":"Ridge-waveguide-based polarization insensitive Bragg grating refractometer","year":2006,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Refractometer; Fiber Bragg grating; Optics; Materials science; Grating; Waveguide; Polarization (electrochemistry); Refractive index; Wavelength; Ultrasonic grating; Optoelectronics; Blazed grating; Diffraction grating; Physics; Chemistry","score_opus":0.013574587835366598,"score_gpt":0.20804788142671005,"score_spread":0.19447329359134344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068474861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9446965,0.00017959786,0.050246116,0.0006659545,0.00019098305,0.00020742451,0.0000051130783,0.000734431,0.0030738916],"genre_scores_gemma":[0.9938152,0.0000024898775,0.006076426,0.000054671655,0.000016472246,0.000008610545,0.0000017524645,0.000013587233,0.000010829802],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986056,0.0000074002896,0.00018170348,0.00025552209,0.00063361466,0.0003161707],"domain_scores_gemma":[0.999172,0.000014918605,0.000038831917,0.00020013755,0.00054018945,0.000033934943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006419637,0.00012159772,0.00011598124,0.0005737913,0.00017779911,0.00003697335,0.00012122597,0.00008958151,0.000002859002],"category_scores_gemma":[0.00039280343,0.00011830771,0.00001092733,0.0014317547,0.00038536557,0.00020134455,0.00002681169,0.00014109805,0.000005768926],"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":[0.0000013307556,0.000010994217,0.0021844807,0.0000075209787,0.0000031508246,0.0000049324126,0.000012810276,0.0015092345,0.98750037,0.0015945006,0.00005364685,0.0071170353],"study_design_scores_gemma":[0.00045790296,0.0000761778,0.013415874,0.000049354396,0.000013667868,0.00002078509,0.0001353686,0.060721193,0.9205528,0.0021789037,0.002052642,0.00032532818],"about_ca_topic_score_codex":0.00001667896,"about_ca_topic_score_gemma":0.00003367934,"teacher_disagreement_score":0.06694756,"about_ca_system_score_codex":0.0002710534,"about_ca_system_score_gemma":0.000061519175,"threshold_uncertainty_score":0.48244485},"labels":[],"label_agreement":null},{"id":"W2070658367","doi":"10.1088/0957-0233/16/3/028","title":"Real-time monitoring of barrel thickness and barrel/screw separation using ultrasound","year":2005,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"RIKEN","keywords":"Barrel (horology); Separation (statistics); Materials science; Ultrasound; Acoustics; Computer science; Composite material; Physics","score_opus":0.018152394668440784,"score_gpt":0.24551689088361814,"score_spread":0.22736449621517735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070658367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939511,0.00047957318,0.0046876725,0.000089512076,0.00009367293,0.000111118105,0.0000011150971,0.00011494265,0.0004713296],"genre_scores_gemma":[0.9931789,0.00025337632,0.0065166135,0.000002078372,0.00003351587,0.0000044330004,2.3962215e-7,0.000007167517,0.000003653201],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990155,0.0000058639466,0.00016266406,0.00017641278,0.0004452662,0.00019429535],"domain_scores_gemma":[0.9994631,0.000015037268,0.000038382856,0.00012506824,0.00031839762,0.000040014478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009529356,0.00008937882,0.000115320436,0.00022429171,0.00015046539,0.00003473193,0.00010400045,0.00007686844,0.0000040048485],"category_scores_gemma":[0.00020741388,0.00008571508,0.0000073692063,0.00046782024,0.0002616385,0.00023243607,0.000024333081,0.00008824074,0.0000020295213],"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":[9.4147e-7,0.000006836517,0.0029660715,0.000019012301,0.0000048794886,2.0095864e-7,0.000065693406,0.0012677195,0.98918205,0.00039364415,0.000006894497,0.006086032],"study_design_scores_gemma":[0.00025581388,0.000050443792,0.0055591986,0.00010354891,0.000030941974,0.00003457557,0.0002572195,0.10944899,0.8832253,0.00069948076,0.00014250688,0.00019192691],"about_ca_topic_score_codex":0.0000096235335,"about_ca_topic_score_gemma":0.0000026331181,"teacher_disagreement_score":0.108181275,"about_ca_system_score_codex":0.00013592515,"about_ca_system_score_gemma":0.00006398779,"threshold_uncertainty_score":0.34953597},"labels":[],"label_agreement":null},{"id":"W2070747584","doi":"10.1088/0957-0233/20/11/115101","title":"Wavelet-based estimator versus spectral correlation method for acoustic target sizing","year":2009,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":3,"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":"Echo Foundation","keywords":"Sizing; Estimator; Wavelet; Correlation; Acoustics; Computer science; Mathematics; Statistics; Physics; Artificial intelligence; Geometry","score_opus":0.019699878154347813,"score_gpt":0.25199019546942847,"score_spread":0.23229031731508065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070747584","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013680163,0.00018176409,0.9842285,0.00070528255,0.0002761157,0.00025275504,0.0000022968559,0.00028280166,0.00039030993],"genre_scores_gemma":[0.8196149,0.0000036139077,0.18031612,0.000022151351,0.000020129108,0.0000146562115,0.0000012831522,0.000005808497,0.000001346744],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989612,0.0000041331737,0.00013247252,0.00020955584,0.00040402295,0.00028860252],"domain_scores_gemma":[0.99946284,0.000034125023,0.000029895635,0.00012243028,0.00030721238,0.000043479715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010710814,0.00010028852,0.000109827924,0.00025061145,0.00022235113,0.000040615556,0.000128792,0.000073759365,0.000003498042],"category_scores_gemma":[0.0007406128,0.000096159936,0.000014869168,0.0005169229,0.000099748155,0.000110339526,0.0000068932045,0.00010060383,0.0000022918196],"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":[0.000017144328,0.000025315217,0.000043985823,0.000025119181,0.0000073329243,0.0000010301741,0.000016686221,0.021668829,0.87888825,0.005632518,0.00012026189,0.09355354],"study_design_scores_gemma":[0.00052973384,0.00019067836,0.00026979033,0.000017100738,0.000019633599,0.0000019069928,0.000042927968,0.893324,0.099881224,0.00537407,0.00023046866,0.000118464886],"about_ca_topic_score_codex":8.8800425e-7,"about_ca_topic_score_gemma":0.0000022099346,"teacher_disagreement_score":0.87165517,"about_ca_system_score_codex":0.00025891053,"about_ca_system_score_gemma":0.00010528008,"threshold_uncertainty_score":0.39212885},"labels":[],"label_agreement":null},{"id":"W2078537039","doi":"10.1088/0957-0233/15/12/012","title":"Measurement-while-drilling surveying of highly inclined and horizontal well sections utilizing single-axis gyro sensing system","year":2004,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Geophysics and Sensor Technology","field":"Engineering","cited_by":49,"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 Calgary; Royal Military College of Canada","funders":"","keywords":"Accelerometer; Azimuth; Directional drilling; Measurement while drilling; Geology; Drilling; Orientation (vector space); Acoustics; Gravimeter; Noise (video); Horizontal position representation; Geodesy; Marine engineering; Computer science; Mechanical engineering; Optics; Engineering; Casing; Physics; Geophysics","score_opus":0.03187075720234488,"score_gpt":0.1955901723857958,"score_spread":0.1637194151834509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078537039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870361,0.00086196675,0.009168859,0.00027255184,0.0003879449,0.0002553523,0.0000024811657,0.00080352783,0.0012112265],"genre_scores_gemma":[0.99850744,0.000044312746,0.0013854171,0.0000057834723,0.000026773047,0.0000058042856,3.83308e-7,0.000023353934,7.092285e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99760544,0.000018690716,0.00040959654,0.00046231857,0.0009771646,0.00052681274],"domain_scores_gemma":[0.9984812,0.00001268958,0.00009961409,0.00034685605,0.0009779755,0.00008165947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017647046,0.00023613664,0.000361334,0.0008817984,0.00043441128,0.000054318127,0.00023339203,0.00019878772,4.897705e-7],"category_scores_gemma":[0.00024962664,0.00024036063,0.000032264717,0.001574444,0.0006980071,0.00019332083,0.00012806353,0.0002776121,0.000003133559],"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":[0.000003590018,0.000029281287,0.0008758823,0.00011916478,0.00003179613,0.0000071708505,0.00008286668,0.0004941974,0.9843325,0.0050795455,0.0000033131394,0.0089406725],"study_design_scores_gemma":[0.00093781826,0.00031918398,0.0012263401,0.00046379073,0.000055462126,0.000131192,0.0022727086,0.00833096,0.98409706,0.0014011723,0.00032254495,0.0004417558],"about_ca_topic_score_codex":0.00015196457,"about_ca_topic_score_gemma":0.0003307652,"teacher_disagreement_score":0.011471373,"about_ca_system_score_codex":0.0006719343,"about_ca_system_score_gemma":0.00010564741,"threshold_uncertainty_score":0.9801622},"labels":[],"label_agreement":null},{"id":"W2081399561","doi":"10.1088/0957-0233/12/7/308","title":"Measurements of temperature and strain sensitivities of a two-mode Bragg grating imprinted in a bow-tie fibre","year":2001,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Materials science; Fiber Bragg grating; Elongation; Optics; Polarization (electrochemistry); Sensitivity (control systems); Optoelectronics; Composite material; Physics; Wavelength; Electronic engineering","score_opus":0.022164676361282002,"score_gpt":0.24852909241001384,"score_spread":0.22636441604873184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081399561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983592,0.000307735,0.0004396988,0.00013586837,0.000046414134,0.00017981148,0.0000050486196,0.0000851644,0.000441056],"genre_scores_gemma":[0.99705446,0.000034319317,0.0028771732,0.000008316027,0.000005025585,0.0000072672838,3.2653193e-7,0.000009790998,0.000003321349],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985847,0.000013966607,0.00026885836,0.00023961975,0.0005986274,0.00029426976],"domain_scores_gemma":[0.9993397,0.000014779089,0.000050345137,0.00019270935,0.00036383557,0.00003862336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008900989,0.00013714311,0.00024347012,0.00052591204,0.000053701584,0.000011757804,0.00012864478,0.00008743606,0.0000017422811],"category_scores_gemma":[0.000344643,0.00013186774,0.000012176185,0.0010221498,0.0005977563,0.00016691821,0.00005508528,0.0001719998,1.6302363e-7],"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":[0.0000049338255,0.000015444197,0.014083494,0.000043960663,0.00000998832,0.0000050429567,0.00027832144,0.0008099083,0.97650236,0.00025068005,0.0000020121638,0.007993872],"study_design_scores_gemma":[0.00086482195,0.00011246034,0.0056863585,0.00027390092,0.000011211298,0.0000629995,0.001453627,0.009032445,0.98122764,0.0010533758,0.000014343182,0.00020681634],"about_ca_topic_score_codex":0.000036951806,"about_ca_topic_score_gemma":0.00031334843,"teacher_disagreement_score":0.008397136,"about_ca_system_score_codex":0.000114585055,"about_ca_system_score_gemma":0.00006364269,"threshold_uncertainty_score":0.53774107},"labels":[],"label_agreement":null},{"id":"W2083821388","doi":"10.1088/0957-0233/19/7/075202","title":"Foot mounted inertial system for pedestrian navigation","year":2008,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":228,"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 Calgary","funders":"AUTO21 Network of Centres of Excellence","keywords":"Inertial measurement unit; Global Positioning System; Computer science; Inertial navigation system; Sensitivity (control systems); Dead reckoning; Bridge (graph theory); Focus (optics); Simulation; SIGNAL (programming language); Pedestrian; Real-time computing; Inertial frame of reference; Artificial intelligence; Engineering; Telecommunications; Electronic engineering; Physics","score_opus":0.027330631494599175,"score_gpt":0.22690761090286704,"score_spread":0.19957697940826785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083821388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92585355,0.0005427251,0.06687217,0.0005874308,0.000618559,0.00062621577,0.0000054496054,0.0033715593,0.0015223649],"genre_scores_gemma":[0.9992459,0.000022134456,0.00056393136,0.0000069946946,0.000024956411,0.00012048437,0.000001274937,0.000008805178,0.0000055622972],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99894285,0.0000031081497,0.00016007398,0.00019059809,0.00044267383,0.0002606881],"domain_scores_gemma":[0.9991983,0.000005421505,0.000025848185,0.00017389118,0.0005674653,0.000029028673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005001419,0.00009654744,0.00011539579,0.00040303345,0.00034988153,0.000020337526,0.00022378877,0.000119482116,0.0000010477293],"category_scores_gemma":[0.00026089887,0.00008787401,0.00001340331,0.000983588,0.00048160314,0.00013160684,0.000031197476,0.00007889478,0.00000436696],"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":[0.000025918609,0.000053070828,0.0087382775,0.0004822428,0.000044875345,0.000017994736,0.0003045012,0.0012520419,0.8651327,0.06984892,0.0029835342,0.05111593],"study_design_scores_gemma":[0.00077513285,0.00014430302,0.00049638085,0.00006278094,0.000013715031,0.00007775264,0.0007401397,0.041348495,0.9475665,0.0006834313,0.007839695,0.00025164447],"about_ca_topic_score_codex":0.0000066456364,"about_ca_topic_score_gemma":0.000007257817,"teacher_disagreement_score":0.082433835,"about_ca_system_score_codex":0.0002854803,"about_ca_system_score_gemma":0.000083913634,"threshold_uncertainty_score":0.35833982},"labels":[],"label_agreement":null},{"id":"W2085014048","doi":"10.1088/0957-0233/13/1/403","title":"A simple and inexpensive humidity control chamber","year":2001,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":1,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Humidity; Relative humidity; Volume (thermodynamics); Materials science; Environmental science; Duty cycle; Air humidity; Mechanics; Meteorology; Thermodynamics; Physics","score_opus":0.019605686432584007,"score_gpt":0.21830279019486862,"score_spread":0.1986971037622846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085014048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9568685,0.0006947447,0.036768425,0.0013635069,0.000101269216,0.00026503683,0.0000016348347,0.00039753475,0.0035393424],"genre_scores_gemma":[0.9996036,0.00020192168,0.00009422488,0.00007071246,0.000010088885,0.000012861871,1.9038399e-7,0.000004243327,0.0000021327692],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930835,0.0000039406636,0.000078353696,0.00014375866,0.00026911488,0.0001965072],"domain_scores_gemma":[0.99960655,0.0000043216237,0.0000040782475,0.000094773466,0.00024402473,0.000046271514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004409651,0.0000664986,0.000086132175,0.00017321829,0.00011929418,0.000022004711,0.000052623534,0.00005206455,0.000010670824],"category_scores_gemma":[0.00007324396,0.000059764254,0.0000045584466,0.0004626947,0.00026312354,0.00012677672,0.000012257356,0.00006711482,0.0000029429798],"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":[0.000023127524,0.000080107,0.11052107,0.000080556594,0.000052158462,0.00004998904,0.00053797336,0.0024284956,0.7929659,0.009991859,0.0012906839,0.08197809],"study_design_scores_gemma":[0.008625399,0.0009073521,0.13244076,0.0001352532,0.0001392406,0.0005705491,0.001674539,0.38868847,0.36699447,0.014826828,0.08304559,0.001951552],"about_ca_topic_score_codex":0.000008035715,"about_ca_topic_score_gemma":0.000040177834,"teacher_disagreement_score":0.42597142,"about_ca_system_score_codex":0.000051226045,"about_ca_system_score_gemma":0.000027121854,"threshold_uncertainty_score":0.24371156},"labels":[],"label_agreement":null},{"id":"W2085392039","doi":"10.1088/0957-0233/21/6/065104","title":"Effects of pressurization procedures on calibration results for precise pressure transducers","year":2010,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":11,"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":"National Research Council Canada","keywords":"Cabin pressurization; Calibration; Pressure measurement; Pressure sensor; Interval (graph theory); Transducer; Materials science; Environmental science; Acoustics; Mathematics; Engineering; Physics; Mechanical engineering; Statistics; Composite material","score_opus":0.08528432767745425,"score_gpt":0.3484614237028955,"score_spread":0.26317709602544126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085392039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9593066,0.00032677987,0.019240597,0.009709819,0.0030108695,0.0052269925,0.00003667055,0.00022753848,0.0029141363],"genre_scores_gemma":[0.99882734,0.0000051336847,0.00076505064,0.000034402186,0.000040001756,0.00013251606,0.000001982303,0.00000594402,0.0001876479],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99304974,0.000067128676,0.0006006686,0.0008368878,0.0051377844,0.00030781128],"domain_scores_gemma":[0.99447346,0.0003469555,0.0003732962,0.0005438877,0.0041756122,0.00008679549],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.017824145,0.00014770449,0.00022881821,0.0011073212,0.0004156885,0.00017721245,0.00081905763,0.00015495517,0.000010124803],"category_scores_gemma":[0.054740634,0.00010647837,0.000040253773,0.0022659732,0.0008290907,0.0004929193,0.00004697443,0.00013943785,0.0000029085368],"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":[0.00017856355,0.000120483026,0.00051829795,0.00004872338,0.000010032428,1.2994768e-7,0.0003161188,0.000107348285,0.95299435,0.011493943,0.003228424,0.030983597],"study_design_scores_gemma":[0.0013588528,0.00040570818,0.0034210095,0.000055286564,0.000051370465,0.0000010376297,0.00014100593,0.012259747,0.95025337,0.025394946,0.0065078777,0.00014980562],"about_ca_topic_score_codex":0.0000051620614,"about_ca_topic_score_gemma":0.00011225294,"teacher_disagreement_score":0.039520726,"about_ca_system_score_codex":0.00003717282,"about_ca_system_score_gemma":0.00066070707,"threshold_uncertainty_score":0.9532217},"labels":[],"label_agreement":null},{"id":"W2085421708","doi":"10.1088/0957-0233/22/4/045204","title":"Radiation tolerance of a spin-dependent tunnelling magnetometer for space applications","year":2011,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":12,"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":"National Research Council Canada","keywords":"Magnetometer; Wheatstone bridge; Quantum tunnelling; Materials science; Electrical engineering; Ionizing radiation; Optoelectronics; Physics; Magnetic field; Irradiation; Nuclear magnetic resonance; Optics; Resistor; Engineering; Voltage","score_opus":0.029419099781264817,"score_gpt":0.2300364052599708,"score_spread":0.200617305478706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085421708","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29650494,0.0019338741,0.68540746,0.0004942562,0.00019739075,0.0018499872,0.000004787938,0.00090527174,0.012702018],"genre_scores_gemma":[0.97645515,0.00008928287,0.02323241,0.0000091933825,0.000009023351,0.0001871894,1.1563927e-7,0.0000056604804,0.000011981375],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992706,0.000002406864,0.00013788267,0.00015704031,0.00026890618,0.00016317143],"domain_scores_gemma":[0.99943185,0.0000062107706,0.000031389918,0.00020099261,0.00030548905,0.000024053941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000565969,0.000065362,0.00009218156,0.00031077996,0.00005327262,0.0000068099966,0.00018727724,0.00006340295,0.000011778986],"category_scores_gemma":[0.00007171158,0.00006527316,0.0000106201815,0.00044358594,0.00019548436,0.000064322114,0.000020160895,0.00005482754,0.000001437385],"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":[0.0000052424525,0.00003718988,0.0011214664,0.00012463263,0.0000073932683,3.2841584e-7,0.00026719942,0.000028431576,0.78996664,0.024961887,0.00017785114,0.18330173],"study_design_scores_gemma":[0.00015518934,0.00015508871,0.00083307305,0.000017492683,0.000010986678,0.000003043157,0.00008147575,0.0059375167,0.9827537,0.006913064,0.0030235786,0.00011579825],"about_ca_topic_score_codex":0.000011336504,"about_ca_topic_score_gemma":0.000009768326,"teacher_disagreement_score":0.6799502,"about_ca_system_score_codex":0.000046883786,"about_ca_system_score_gemma":0.000028206901,"threshold_uncertainty_score":0.26617622},"labels":[],"label_agreement":null},{"id":"W2087532860","doi":"10.1088/0957-0233/17/5/s23","title":"Distributed fibre optics polarimetric chemical sensor","year":2006,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National d'Optique","funders":"","keywords":"Polarimetry; Interferometry; Capillary action; Displacement (psychology); Optics; Chemical sensor; Optical fiber; Materials science; Fabrication; Physics; Composite material","score_opus":0.011828491494575585,"score_gpt":0.19975763317263542,"score_spread":0.18792914167805985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087532860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9737248,0.0016087925,0.0049437378,0.0010636615,0.00018300743,0.00018092041,0.000013384751,0.0008548789,0.017426841],"genre_scores_gemma":[0.9985963,0.000016500693,0.0013411931,0.000013098782,0.0000165358,0.0000044484896,0.0000013310882,0.0000051287443,0.000005463616],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99886173,0.0000021127125,0.000119958444,0.00017924294,0.00052098685,0.00031596422],"domain_scores_gemma":[0.99954444,0.000008136502,0.0000125504675,0.00015305345,0.0002320148,0.00004977745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038259753,0.000089104,0.00010534643,0.00025201615,0.00008623246,0.000036004454,0.00020184185,0.00009277041,0.0000047650424],"category_scores_gemma":[0.00019753007,0.00007753864,0.00001097994,0.0016215305,0.0004248476,0.0000876148,0.000054358592,0.00012645769,0.000013891498],"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":[0.0000016659619,0.00003904251,0.0025061476,0.000027876096,0.000008809331,0.000007683517,0.000003322618,0.00007188753,0.96170914,0.030877419,0.0003755153,0.0043715127],"study_design_scores_gemma":[0.00036886652,0.00005549689,0.007919677,0.000024919762,0.000024098717,0.000035645848,0.000068897316,0.028106501,0.9472842,0.004923862,0.010862744,0.00032504383],"about_ca_topic_score_codex":0.000013290083,"about_ca_topic_score_gemma":0.000004340555,"teacher_disagreement_score":0.028034614,"about_ca_system_score_codex":0.00014796498,"about_ca_system_score_gemma":0.000045234934,"threshold_uncertainty_score":0.31619343},"labels":[],"label_agreement":null},{"id":"W2088367464","doi":"10.1088/0957-0233/15/8/011","title":"Measurements of sensitivity of the single-mode photonic crystal holey fibre to temperature, elongation and hydrostatic pressure","year":2004,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Photonic Crystal and Fiber Optics","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Elongation; Materials science; Sensitivity (control systems); Hydrostatic pressure; Hydrostatic equilibrium; Optics; Photonic-crystal fiber; Optoelectronics; Mode (computer interface); Composite material; Mechanics; Physics; Wavelength; Electronic engineering; Ultimate tensile strength","score_opus":0.016410300393023138,"score_gpt":0.21156498090981982,"score_spread":0.19515468051679669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088367464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99850905,0.0003266947,0.00024721716,0.00027898402,0.00008595393,0.00031413307,0.000010475704,0.00005335472,0.0001741109],"genre_scores_gemma":[0.99953026,0.000010295078,0.00042167358,0.000016422857,0.0000034516893,0.000008233028,2.71737e-7,0.0000070600586,0.0000023594944],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986328,0.000012988774,0.00018775085,0.00020222332,0.00074918766,0.0002150784],"domain_scores_gemma":[0.9992538,0.0000072764756,0.000044589255,0.000248999,0.00039682607,0.000048507045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009127486,0.00011481182,0.00016720593,0.00017657266,0.000108614295,0.00001769916,0.000151342,0.000076618155,6.66317e-7],"category_scores_gemma":[0.0002541215,0.00008865643,0.000016552061,0.00080562354,0.0004954744,0.00011663825,0.00009782695,0.00011911685,2.4703863e-7],"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":[0.0000043199448,0.000031747182,0.0010296771,0.00007551249,0.000014841991,4.6943376e-7,0.00023814374,0.0031107657,0.9945647,0.00012294501,0.0000055163378,0.00080137065],"study_design_scores_gemma":[0.00031672872,0.00011002517,0.003401117,0.00013745813,0.000025163288,0.000016017342,0.00011555412,0.0015530966,0.99356437,0.00060455414,0.000052371946,0.00010355198],"about_ca_topic_score_codex":0.000023402352,"about_ca_topic_score_gemma":0.00017647768,"teacher_disagreement_score":0.0023714397,"about_ca_system_score_codex":0.00012895766,"about_ca_system_score_gemma":0.00012495143,"threshold_uncertainty_score":0.36153042},"labels":[],"label_agreement":null},{"id":"W2090394309","doi":"10.1088/0957-0233/25/7/075002","title":"An experimental method to quantify the impact fatigue behavior of rocks","year":2014,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"High-Velocity Impact and Material Behavior","field":"Materials Science","cited_by":27,"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 Toronto","funders":"","keywords":"Brittleness; Split-Hopkinson pressure bar; Materials science; Fatigue testing; Isotropy; Displacement (psychology); Rock blasting; Failure mode and effects analysis; Structural engineering; Bar (unit); Geotechnical engineering; Composite material; Geology; Engineering; Strain rate","score_opus":0.07391327841462003,"score_gpt":0.3894732722715592,"score_spread":0.31555999385693917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090394309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99157536,0.000025096853,0.0071524805,0.00045075107,0.00021016726,0.00038475674,0.000007284352,0.00009778345,0.000096344724],"genre_scores_gemma":[0.99575806,6.62568e-7,0.0040829848,0.00004408298,0.000022533533,0.00007911891,3.7960214e-7,0.000008236185,0.000003957559],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99783903,0.00008997795,0.00025262454,0.00038995233,0.000991016,0.00043738386],"domain_scores_gemma":[0.998676,0.00001509736,0.00010317853,0.0005338238,0.0005161082,0.0001557711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047317906,0.00015845145,0.00023936895,0.0002984008,0.00038406663,0.0001178459,0.00082368153,0.000089328314,0.000105689716],"category_scores_gemma":[0.00030568035,0.00009768975,0.000025825113,0.00071085553,0.0006911995,0.00026862172,0.00017298662,0.00007879798,0.000022502498],"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":[0.000011932439,0.00011661305,0.0025929208,0.00000239206,0.0000010639849,4.9867526e-7,0.0002808092,0.000008095311,0.99174476,0.0011477815,0.000043472566,0.0040496625],"study_design_scores_gemma":[0.00018342288,0.0007996365,0.009021268,0.0000112848375,0.00001472864,0.000012358308,0.0005266641,0.000048500795,0.9889431,0.000111030145,0.00019608528,0.0001319156],"about_ca_topic_score_codex":0.00040532273,"about_ca_topic_score_gemma":0.000031415224,"teacher_disagreement_score":0.006428348,"about_ca_system_score_codex":0.00013515643,"about_ca_system_score_gemma":0.00017739044,"threshold_uncertainty_score":0.39836723},"labels":[],"label_agreement":null},{"id":"W2091305989","doi":"10.1088/0957-0233/24/2/025601","title":"An energy kurtosis demodulation technique for signal denoising and bearing fault detection","year":2013,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Kurtosis; Rolling-element bearing; Bearing (navigation); Demodulation; Fault detection and isolation; Fault (geology); Computer science; SIGNAL (programming language); Energy (signal processing); Filter (signal processing); Signal processing; Pattern recognition (psychology); Artificial intelligence; Acoustics; Mathematics; Digital signal processing; Vibration; Telecommunications; Computer vision; Physics; Statistics","score_opus":0.012525503051087348,"score_gpt":0.2392998857426027,"score_spread":0.22677438269151534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091305989","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42599818,0.00017305397,0.57210505,0.000184083,0.000040686064,0.00052996364,6.851438e-7,0.00083408895,0.00013418689],"genre_scores_gemma":[0.98825896,0.000039540308,0.010937764,0.000022848131,0.000019652723,0.000703538,5.410605e-7,0.000016361442,8.179005e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99887854,0.000009587582,0.00016483112,0.00030780697,0.0003558748,0.00028334683],"domain_scores_gemma":[0.99927354,0.000013805048,0.000033510536,0.00018512699,0.000429615,0.0000644156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008945238,0.00013216339,0.00012408319,0.0006116713,0.00027121764,0.000102784805,0.00017623248,0.00014067626,0.0000034038246],"category_scores_gemma":[0.00013794198,0.00013075426,0.000011022925,0.0005472961,0.00020962376,0.000527259,0.000043085012,0.000099087105,5.482424e-7],"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":[6.512858e-7,0.000009660886,0.0012895411,0.000014054541,0.000003113426,9.757326e-8,0.000011419873,0.000051594005,0.81429553,0.0005427884,0.000019526013,0.18376201],"study_design_scores_gemma":[0.00009345922,0.00014174497,0.0031609603,0.000027870537,0.000008382889,0.00000965719,0.000032218028,0.06824559,0.92105025,0.0067550554,0.00032220018,0.00015261851],"about_ca_topic_score_codex":0.00012044297,"about_ca_topic_score_gemma":0.00011140622,"teacher_disagreement_score":0.56226075,"about_ca_system_score_codex":0.00018313556,"about_ca_system_score_gemma":0.000021308264,"threshold_uncertainty_score":0.5332004},"labels":[],"label_agreement":null},{"id":"W2095142679","doi":"10.1088/0957-0233/22/11/115107","title":"Performance analysis of NOAA tropospheric signal delay model","year":2011,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"GNSS positioning and interference","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Foundation for Science and Technology Development","keywords":"Troposphere; SIGNAL (programming language); Computer science; Meteorology; Environmental science; Remote sensing; Geology; Physics","score_opus":0.0330907606061203,"score_gpt":0.19515536385466375,"score_spread":0.16206460324854347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095142679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9619628,0.00012393575,0.024383834,0.000013988821,0.000031430503,0.00003737744,8.5963427e-7,0.00012151059,0.0133242505],"genre_scores_gemma":[0.997848,0.000031607844,0.0020952367,0.000006103311,0.0000014512362,0.0000077317245,1.5132456e-7,0.0000032139785,0.000006506388],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991975,0.000002449998,0.00012848848,0.00014074366,0.00035537683,0.0001754856],"domain_scores_gemma":[0.9994445,0.000001485798,0.000023932971,0.00015435374,0.00034642074,0.000029318573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039531942,0.00006767067,0.00012437078,0.00040659704,0.00008204057,0.0000070310675,0.0002230557,0.00004331908,0.000020182802],"category_scores_gemma":[0.00001974361,0.00005988314,0.00001689468,0.0016989135,0.0004094026,0.00012490769,0.00002815185,0.00007170146,0.0000031709098],"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":[0.00001637497,0.0001500798,0.0696475,0.000066098444,0.0004246859,0.0000018014326,0.0012631407,0.06081873,0.81484556,0.009763875,0.00016050083,0.04284168],"study_design_scores_gemma":[0.000053564298,0.00008813248,0.0064627943,0.000013605133,0.00008609183,0.0000017647102,0.000058591882,0.84350246,0.14946651,0.00018266912,0.000008490784,0.00007534916],"about_ca_topic_score_codex":0.0000087193885,"about_ca_topic_score_gemma":0.000008648596,"teacher_disagreement_score":0.78268373,"about_ca_system_score_codex":0.0000634441,"about_ca_system_score_gemma":0.000041251336,"threshold_uncertainty_score":0.24419636},"labels":[],"label_agreement":null},{"id":"W2102882761","doi":"10.1088/0957-0233/21/11/115301","title":"Single-wavelength polarization-sensitive interrogation of a long-period grating (LPG) sensor","year":2010,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Interrogation; Grating; Materials science; Wavelength; Optics; Polarization (electrochemistry); Optoelectronics; Physics; Chemistry","score_opus":0.01585058708710064,"score_gpt":0.2155467854970974,"score_spread":0.19969619840999678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102882761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851647,0.000023415156,0.013274706,0.00027061076,0.00025429227,0.0001413167,0.0000019194354,0.00022907525,0.00063995545],"genre_scores_gemma":[0.99113834,0.0000022482075,0.008811708,0.00000990021,0.000014736648,0.0000050585645,5.789816e-7,0.00001087012,0.000006552459],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988681,0.000005604604,0.00019222811,0.00021271862,0.00048917014,0.00023219634],"domain_scores_gemma":[0.9988928,0.000012660234,0.000056651195,0.00020328764,0.0007931858,0.000041410985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051571213,0.000106536434,0.0001293062,0.00039438865,0.00011222089,0.000020364074,0.00012995474,0.00009879825,0.0000039098086],"category_scores_gemma":[0.00064555503,0.000104696875,0.000011441237,0.00090553326,0.0006354165,0.00019631341,0.00004012012,0.00021112734,0.0000025595089],"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":[0.0000012671229,0.000013053227,0.0013735769,0.0000099194485,0.000006086221,0.0000024925944,0.00025904406,0.00005691992,0.97571576,0.0013308568,0.0000014829387,0.021229535],"study_design_scores_gemma":[0.00019407376,0.00007074038,0.002204166,0.00003544825,0.000009773968,0.000054845455,0.0015579372,0.016552808,0.9788504,0.0002589587,0.00006770609,0.0001431174],"about_ca_topic_score_codex":0.000003568368,"about_ca_topic_score_gemma":0.00008120767,"teacher_disagreement_score":0.021086419,"about_ca_system_score_codex":0.0001192705,"about_ca_system_score_gemma":0.000066348985,"threshold_uncertainty_score":0.42694148},"labels":[],"label_agreement":null},{"id":"W2109710979","doi":"10.1088/0957-0233/26/7/074003","title":"Collaborative framework for PIV uncertainty quantification: the experimental database","year":2015,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Particle image velocimetry; Range (aeronautics); Computer science; Velocimetry; Measurement uncertainty; Jet (fluid); System of measurement; Measure (data warehouse); Physics; Optics; Mechanics; Data mining; Aerospace engineering; Engineering; Turbulence","score_opus":0.04303638372868415,"score_gpt":0.2760986665012164,"score_spread":0.23306228277253224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109710979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7590718,0.017939301,0.18952452,0.020626815,0.004014784,0.0035265356,0.0001026745,0.0013984536,0.0037950694],"genre_scores_gemma":[0.996368,0.000027370672,0.003370456,0.00004490616,0.000025378915,0.00014945133,0.0000020991142,0.0000066084817,0.0000057437283],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899054,0.0000062782256,0.00010873204,0.00020088513,0.0004858088,0.00020773576],"domain_scores_gemma":[0.9989799,0.000016980479,0.000020131343,0.0002950278,0.000632864,0.00005507794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012520459,0.00008697433,0.00008126719,0.00011796302,0.00021727812,0.000058478156,0.0002983276,0.000052893636,0.00000243752],"category_scores_gemma":[0.0004412018,0.0000616319,0.0000084569865,0.00084305316,0.00047244894,0.00011277853,0.00005232706,0.000090259025,0.0000054178145],"study_design_candidate":"theoretical_or_conceptual","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":[0.000022304805,0.00008711777,0.00045049918,0.000020595251,0.000031285268,0.0000016399562,0.0007037214,0.0049060117,0.122801214,0.85792106,0.007295304,0.005759239],"study_design_scores_gemma":[0.0009780949,0.00032543248,0.00016597846,0.000063751475,0.000026161557,0.000010687527,0.005412948,0.7471477,0.14139982,0.030857965,0.073146746,0.00046475013],"about_ca_topic_score_codex":0.0000037434029,"about_ca_topic_score_gemma":0.000013937015,"teacher_disagreement_score":0.8270631,"about_ca_system_score_codex":0.00018323273,"about_ca_system_score_gemma":0.00015065215,"threshold_uncertainty_score":0.2513276},"labels":[],"label_agreement":null},{"id":"W2110483579","doi":"10.1088/0957-0233/17/5/s12","title":"Long-term thermal stability tests at 1000 °C of silica fibre Bragg gratings made with ultrafast laser radiation","year":2006,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":175,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Materials science; Fiber Bragg grating; Laser; Optics; Grating; Sapphire; Wavelength; Ultrashort pulse; Annealing (glass); Optoelectronics; Fiber laser; Thermal stability; Thermal; Composite material","score_opus":0.010086122697613267,"score_gpt":0.1997348015525823,"score_spread":0.18964867885496903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110483579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981577,0.00012250099,0.0003673024,0.00021334416,0.000034037068,0.00020420854,0.0000029054688,0.0002247527,0.00067329],"genre_scores_gemma":[0.99940366,0.000006464509,0.00053316215,0.0000066686976,0.000010854044,0.000013987624,0.0000011562161,0.000011210791,0.000012855564],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99866694,0.000005383549,0.00018461532,0.00026686263,0.00058603584,0.00029018024],"domain_scores_gemma":[0.9993512,0.000017717419,0.00005660657,0.00027548926,0.00026292543,0.00003607505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038238353,0.00012698342,0.00014318,0.00017382756,0.00011152128,0.000012922565,0.00017381822,0.00007642236,0.000015862808],"category_scores_gemma":[0.00008038677,0.00010522886,0.000011306438,0.00072342664,0.00070913834,0.00018069445,0.00003210546,0.00010282944,0.0000039489764],"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":[0.000005963312,0.000020817806,0.16110809,0.000025339577,0.000004081689,0.0000018546839,0.000036816265,0.0011283553,0.83368,0.00008164948,0.0000074710947,0.0038996],"study_design_scores_gemma":[0.00023247344,0.00007596211,0.24030569,0.000020788611,0.0000068838444,0.000011537702,0.00003313138,0.0004470712,0.75868666,0.00004951793,0.000027940858,0.00010231038],"about_ca_topic_score_codex":0.000008786177,"about_ca_topic_score_gemma":0.00012915474,"teacher_disagreement_score":0.07919759,"about_ca_system_score_codex":0.0002544938,"about_ca_system_score_gemma":0.00004767275,"threshold_uncertainty_score":0.42911083},"labels":[],"label_agreement":null},{"id":"W2111005781","doi":"10.1088/0957-0233/21/2/025309","title":"Comparative study of long-period gratings written in a boron co-doped fiber by an electric arc and UV irradiation","year":2010,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Materials science; Cladding (metalworking); Electric arc; Grating; Irradiation; Optics; Fiber Bragg grating; Tapering; Optical fiber; Optoelectronics; Fiber; Electrode; Composite material; Wavelength; Computer science","score_opus":0.01824680226233495,"score_gpt":0.25998854333426713,"score_spread":0.2417417410719322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111005781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99902165,0.00012150337,0.00008556288,0.00007343926,0.000029560357,0.00034731504,7.99349e-7,0.00008210751,0.00023804158],"genre_scores_gemma":[0.99944574,0.000008119548,0.0004982485,0.0000044998537,0.0000039428633,0.000028883385,4.886056e-7,0.000006404059,0.0000036847548],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99892306,0.000011761723,0.00018230447,0.00025621147,0.00040085794,0.00022579794],"domain_scores_gemma":[0.99954593,0.000009939432,0.0000441262,0.00017822014,0.00017922506,0.000042534408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005973206,0.00010630556,0.00018428203,0.0004027027,0.00007917945,0.00002003565,0.00014875668,0.00006722803,0.000004149282],"category_scores_gemma":[0.00010681678,0.00010155808,0.0000039096453,0.0009146957,0.00026218253,0.00022915442,0.000019823137,0.00022371927,0.0000012887689],"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":[0.000005875368,0.00012879109,0.039564505,0.000008201743,0.000007431819,0.0000023051048,0.0015590508,0.0001200662,0.9483139,0.000064785076,0.000025083049,0.010200041],"study_design_scores_gemma":[0.0029828995,0.0019391923,0.36062053,0.000035839716,0.000035714173,0.00005025845,0.00865348,0.041491285,0.58272946,0.00053893257,0.0002578603,0.00066454354],"about_ca_topic_score_codex":0.000027316639,"about_ca_topic_score_gemma":0.0005027648,"teacher_disagreement_score":0.3655844,"about_ca_system_score_codex":0.00007433805,"about_ca_system_score_gemma":0.000031728046,"threshold_uncertainty_score":0.4141418},"labels":[],"label_agreement":null},{"id":"W2111909198","doi":"10.1088/0957-0233/17/1/025","title":"A new magnetic compass calibration algorithm using neural networks","year":2005,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":56,"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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Compass; Calibration; Artificial neural network; Computer science; Algorithm; Artificial intelligence; Physics; Mathematics; Statistics","score_opus":0.018198669508550553,"score_gpt":0.2171204359297862,"score_spread":0.19892176642123563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111909198","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3971527,0.0021247803,0.5968229,0.0017004166,0.0005492565,0.0003016889,7.015145e-7,0.0007273199,0.0006201994],"genre_scores_gemma":[0.9929231,0.0000118530015,0.0069186497,0.000033130575,0.00010028309,0.0000023041107,3.534298e-7,0.0000056708323,0.0000046816403],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917346,0.0000045672705,0.0001106401,0.00013253457,0.00035866653,0.00022012318],"domain_scores_gemma":[0.99970925,0.000002073667,0.000013938755,0.000095254545,0.00013044043,0.000049071477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002715744,0.000073001414,0.000071671064,0.0001760642,0.00012652752,0.00003957625,0.0001053509,0.000060760758,0.0000102955],"category_scores_gemma":[0.000020766327,0.00006957365,0.000007338844,0.0006970309,0.00011457719,0.0002100716,0.000020111915,0.000095259216,0.0000018162657],"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":[0.0000013072403,0.0000070910132,0.0003434094,0.0000033429346,0.0000025329814,0.0000011911401,0.00003049249,0.060614213,0.124847434,0.00047625482,0.00027792418,0.8133948],"study_design_scores_gemma":[0.00014066466,0.0000306955,0.00028834448,0.000006548151,0.000006019812,0.000012109096,0.000015482903,0.9758563,0.022635853,0.0001148943,0.00081205147,0.00008102093],"about_ca_topic_score_codex":0.000026452468,"about_ca_topic_score_gemma":0.000030822903,"teacher_disagreement_score":0.9152421,"about_ca_system_score_codex":0.00014468958,"about_ca_system_score_gemma":0.000029430454,"threshold_uncertainty_score":0.28371313},"labels":[],"label_agreement":null},{"id":"W2116463086","doi":"10.1088/0957-0233/22/1/015201","title":"Increasing sensitivity of arc-induced long-period gratings—pushing the fabrication technique toward its limits","year":2010,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Materials science; Cladding (metalworking); Electric arc; Optics; Refractive index; Fabrication; Wavelength; Cladding mode; Arc (geometry); Optical fiber; Long-period fiber grating; Optoelectronics; Grating; Fiber; Composite material; Electrode; Fiber optic sensor; Graded-index fiber; Polarization-maintaining optical fiber","score_opus":0.02975022470198816,"score_gpt":0.2439840763491751,"score_spread":0.21423385164718695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116463086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9798441,0.00006325669,0.017816784,0.0009789708,0.00018635529,0.00036612747,8.6370596e-7,0.00030922005,0.00043434746],"genre_scores_gemma":[0.9940418,0.000010623879,0.005868408,0.000014874242,0.000020283474,0.000030417512,1.9228635e-7,0.000012427803,9.619633e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99859965,0.000027347993,0.00020197463,0.00025697637,0.0006200605,0.000294021],"domain_scores_gemma":[0.9986959,0.000052642677,0.00007653754,0.00034970345,0.0007816837,0.00004355184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034221087,0.00013138691,0.00015353391,0.00029951124,0.00021891366,0.000033513516,0.0002609728,0.00012922009,0.0000015856239],"category_scores_gemma":[0.003498945,0.00010501648,0.000015806792,0.0011181576,0.00048263723,0.000235551,0.000068991816,0.000416528,0.0000022707447],"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":[0.0000014468167,0.000009039817,0.0014681283,0.000013612501,0.0000043044615,0.000001907844,0.00013998547,0.00004044485,0.97803944,0.00093175384,0.0000027235321,0.01934723],"study_design_scores_gemma":[0.000077374396,0.000030253135,0.007149181,0.00003857561,0.000008809999,0.000121702134,0.00021494203,0.005205757,0.9865762,0.00038733892,0.00006281974,0.00012707333],"about_ca_topic_score_codex":0.000018204966,"about_ca_topic_score_gemma":0.000093744595,"teacher_disagreement_score":0.019220157,"about_ca_system_score_codex":0.00010049133,"about_ca_system_score_gemma":0.000075849246,"threshold_uncertainty_score":0.42824477},"labels":[],"label_agreement":null},{"id":"W2152756410","doi":"10.1088/0957-0233/20/2/025703","title":"Frequency-dependent viscoelasticity measurement by atomic force microscopy","year":2008,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Viscoelasticity; Materials science; Self-healing hydrogels; Elastic modulus; Vinyl alcohol; Composite material; Modulus; Dynamic modulus; Atomic force acoustic microscopy; Dynamic mechanical analysis; Deflection (physics); Atomic force microscopy; Nanomechanics; Elasticity (physics); Amplitude; Microscopy; Young's modulus; Optics; Nanotechnology; Polymer chemistry; Magnetic force microscope; Physics; Polymer","score_opus":0.018271116205469246,"score_gpt":0.25377990317527666,"score_spread":0.2355087869698074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152756410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8897308,0.0005994671,0.09972233,0.0016156216,0.0001258272,0.0008116894,0.000036600464,0.00035400357,0.0070036286],"genre_scores_gemma":[0.9971449,0.000025790283,0.0024527607,0.00006788893,0.000025742433,0.0001682855,0.0000021989674,0.000014344951,0.00009809129],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99732465,0.000012835051,0.00028684098,0.00059939345,0.0012256646,0.00055062113],"domain_scores_gemma":[0.9983102,0.0000050433428,0.0001226709,0.00044634735,0.000993772,0.000121979436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00114652,0.00021960784,0.00021541338,0.00024037651,0.00094633066,0.00005493659,0.0005646726,0.00007458709,0.000065486835],"category_scores_gemma":[0.000043690838,0.00020109382,0.000035625304,0.00081112457,0.0012956555,0.00018657226,0.00016701405,0.00022607297,0.0000357393],"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":[0.0000020031375,0.00011012574,0.012922369,0.0000041635762,0.000012208712,5.784491e-7,0.000033648226,3.7275262e-7,0.963669,0.018569117,0.0027383517,0.0019380483],"study_design_scores_gemma":[0.00036152318,0.000096040465,0.00064806873,0.000029708104,0.000018513434,0.000010189552,0.0000998246,0.00007268096,0.9801352,0.014003558,0.0042479094,0.0002767682],"about_ca_topic_score_codex":0.00021129035,"about_ca_topic_score_gemma":0.0000109620605,"teacher_disagreement_score":0.10741407,"about_ca_system_score_codex":0.00037414118,"about_ca_system_score_gemma":0.00048075634,"threshold_uncertainty_score":0.82003677},"labels":[],"label_agreement":null},{"id":"W2163603761","doi":"10.1088/0957-0233/19/1/015105","title":"Wavelet spectrum analysis for bearing fault diagnostics","year":2007,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; University of Waterloo","funders":"Core Research for Evolutional Science and Technology","keywords":"Wavelet; Bearing (navigation); Fault (geology); Computer science; Spectrum (functional analysis); Pattern recognition (psychology); Artificial intelligence; Geology; Physics; Seismology","score_opus":0.019033331886123696,"score_gpt":0.2698752324667847,"score_spread":0.25084190058066097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163603761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53014666,0.0010201753,0.45981008,0.0017797007,0.00026914146,0.00081108935,0.000009349271,0.0022305402,0.0039232704],"genre_scores_gemma":[0.99169976,0.00014945796,0.0080090845,0.000040846564,0.00002608127,0.000057628742,9.91864e-7,0.000012219615,0.00000394739],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99834293,0.0000027286574,0.00021761199,0.00029861735,0.0006319548,0.0005061509],"domain_scores_gemma":[0.9992078,0.0000533581,0.000032678126,0.00029852748,0.0003330744,0.000074595606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028114438,0.0001370499,0.00020076481,0.0014180611,0.00017626953,0.000044921188,0.00034675945,0.00010426142,0.000005656942],"category_scores_gemma":[0.0011152285,0.00013183325,0.00003581406,0.0027076835,0.00029384092,0.00011192682,0.00007369395,0.00014090484,0.0000025347238],"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":[0.000015117003,0.00026168284,0.42156914,0.0001982059,0.00063303555,0.000033430766,0.00025234759,0.00083992095,0.2424922,0.061494917,0.0059400876,0.26626992],"study_design_scores_gemma":[0.00036463182,0.00019320028,0.049279623,0.00003425956,0.00023043211,0.000008300913,0.00012377964,0.023816569,0.89498276,0.007820358,0.022655401,0.0004907146],"about_ca_topic_score_codex":0.000017133885,"about_ca_topic_score_gemma":0.000328247,"teacher_disagreement_score":0.65249056,"about_ca_system_score_codex":0.00026553395,"about_ca_system_score_gemma":0.00003389288,"threshold_uncertainty_score":0.5376004},"labels":[],"label_agreement":null},{"id":"W2170556374","doi":"10.1088/0957-0233/15/2/020","title":"Calibrated measurement of the behaviour of mechanical junctions from micrometre to subnanometre scale: the friction force scanner","year":2004,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scanner; Scale (ratio); Materials science; Mechanics; Optics; Physics","score_opus":0.014518240275586038,"score_gpt":0.2366760336116861,"score_spread":0.22215779333610006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170556374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96005225,0.0000682665,0.033460848,0.00499129,0.00012001475,0.0006584103,0.00004783457,0.000050022158,0.000551053],"genre_scores_gemma":[0.9984996,0.0000020356474,0.0013329937,0.000032841297,0.0000133147905,0.00009100443,0.0000011428879,0.0000068517757,0.000020248199],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984515,0.000014489134,0.00026588634,0.00028960424,0.0007634811,0.00021505593],"domain_scores_gemma":[0.99843544,0.000004967513,0.00014160808,0.0004875792,0.000883488,0.00004689985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080171606,0.00011348374,0.00015186021,0.00022538567,0.00040016312,0.00002357513,0.00055092317,0.000052852414,0.000025265417],"category_scores_gemma":[0.00004099998,0.00006948836,0.000050147966,0.00276052,0.0005396645,0.000072826166,0.00018520703,0.00013754942,0.0000021217948],"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":[0.000002859021,0.0001214331,0.012381231,0.0000020212904,0.000013200124,1.8788201e-8,0.000045910787,0.000014612364,0.9657671,0.019203477,0.00018494196,0.0022631816],"study_design_scores_gemma":[0.00019056196,0.00007867222,0.009314083,0.000050462422,0.000043841945,5.5759966e-7,0.00064323295,0.000019688165,0.9805238,0.008379906,0.0006738176,0.000081334336],"about_ca_topic_score_codex":0.0014376967,"about_ca_topic_score_gemma":0.00021636134,"teacher_disagreement_score":0.03844731,"about_ca_system_score_codex":0.00015468638,"about_ca_system_score_gemma":0.00024535504,"threshold_uncertainty_score":0.30777717},"labels":[],"label_agreement":null},{"id":"W2222280278","doi":"10.1088/0957-0233/27/2/025204","title":"Goniometrical measurements of fluorescence quantum efficiency","year":2016,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":3,"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":"National Research Council Canada; European Commission; European Association of National Metrology Institutes","keywords":"Fluorescence; Quantum; Materials science; Optics; Optoelectronics; Physics; Quantum mechanics","score_opus":0.04909988464803501,"score_gpt":0.28211607973231223,"score_spread":0.23301619508427723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2222280278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98086375,0.0019804807,0.00404848,0.0021426503,0.00011646364,0.0001097486,0.0000047437775,0.00023252601,0.010501133],"genre_scores_gemma":[0.9995524,0.00006267915,0.00030105727,0.000010021907,0.000012529724,0.000010531253,7.434202e-8,0.0000060441444,0.000044631317],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967712,0.0000065727663,0.00029031612,0.00048097837,0.001991074,0.00045985985],"domain_scores_gemma":[0.9980423,0.000032657794,0.00014077408,0.0004200633,0.0012667039,0.00009749461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015361303,0.00014289895,0.00024828006,0.0013586299,0.00018612426,0.00001780124,0.0006942033,0.00011579668,0.00015154674],"category_scores_gemma":[0.003767605,0.00009222782,0.00003152514,0.0056271367,0.0017993086,0.00014539743,0.00016334101,0.00009745645,0.00001373727],"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":[0.0000061480437,0.00010681549,0.060130253,0.000017836725,0.0000140638585,8.648221e-7,0.000007512019,5.260212e-8,0.92341185,0.0020835632,0.000048950533,0.014172093],"study_design_scores_gemma":[0.00038877412,0.00008514349,0.0017534895,0.000041169027,0.000036572837,0.0000067968954,0.00008907694,0.000024695379,0.99634,0.0008912094,0.00021058541,0.00013249578],"about_ca_topic_score_codex":0.000010287758,"about_ca_topic_score_gemma":0.0000019324807,"teacher_disagreement_score":0.072928146,"about_ca_system_score_codex":0.00033685184,"about_ca_system_score_gemma":0.00028388514,"threshold_uncertainty_score":0.66296273},"labels":[],"label_agreement":null},{"id":"W2235283744","doi":"10.1088/0957-0233/27/3/035302","title":"On the effect of velocity gradients on the depth of correlation in<i>μ</i>PIV","year":2016,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":1,"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; Canada Research Chairs","keywords":"Dimensionless quantity; Weighting; Curvature; Flow (mathematics); Particle image velocimetry; Correlation function (quantum field theory); Function (biology); Mathematics; Correlation; Work (physics); Mathematical analysis; Physics; Statistical physics; Mechanics; Geometry; Turbulence; Statistics","score_opus":0.010410319549938702,"score_gpt":0.1893807165723666,"score_spread":0.1789703970224279,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2235283744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99740595,0.000043162956,0.00028310096,0.0007267766,0.000114649796,0.00018693108,9.677775e-7,0.000023278097,0.0012152103],"genre_scores_gemma":[0.9999417,0.000019921483,0.0000061527517,0.000010254528,0.0000019443446,0.0000142229455,4.1798174e-8,0.0000029682128,0.0000027644273],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992203,0.000017022869,0.00010973273,0.00010486736,0.00041963762,0.00012841946],"domain_scores_gemma":[0.9995901,0.00009491278,0.000028690942,0.0002026271,0.000073308765,0.000010371856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001542667,0.00006320293,0.00008499798,0.0001706454,0.000052244955,0.0000036854801,0.00021586913,0.000039644383,0.0000032106443],"category_scores_gemma":[0.00050954014,0.000026727714,0.000011971163,0.00048284154,0.0003388338,0.000030312229,0.00002569793,0.00007555063,0.0000032718974],"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":[0.00006549093,0.000080846934,0.12770313,0.000063625994,0.000041265215,0.0000017884253,0.00016018367,0.005131491,0.4062573,0.34784412,0.0005160803,0.11213467],"study_design_scores_gemma":[0.0016650546,0.0018660384,0.12623417,0.00064426346,0.000025011133,0.0000030989577,0.000040773026,0.24005875,0.61208177,0.01673384,0.00036237336,0.0002848624],"about_ca_topic_score_codex":0.0000054212946,"about_ca_topic_score_gemma":0.000026027383,"teacher_disagreement_score":0.33111027,"about_ca_system_score_codex":0.00009784531,"about_ca_system_score_gemma":0.000015713824,"threshold_uncertainty_score":0.12484472},"labels":[],"label_agreement":null},{"id":"W2345840951","doi":"10.1088/0957-0233/27/6/065702","title":"Through-wall bio-radio location and characterization of human activities","year":2016,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":1,"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 Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Canadian Cancer Society; CMC Microsystems","keywords":"Characterization (materials science); Computer science; Materials science; Nanotechnology","score_opus":0.024306685615544634,"score_gpt":0.2221891807892129,"score_spread":0.19788249517366827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345840951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991877,0.000101934136,0.0072711487,0.0002754593,0.00008956355,0.00008993962,7.7243965e-7,0.00011891418,0.00017523587],"genre_scores_gemma":[0.9997623,0.000090548696,0.00010745242,0.0000035456462,0.000014822368,0.0000117524,1.5122473e-7,0.0000055148876,0.000003935989],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99933445,0.0000040274635,0.00009572689,0.00013856642,0.00028845036,0.00013876896],"domain_scores_gemma":[0.99965525,0.000005286992,0.00003005621,0.0001081997,0.00018554543,0.000015643136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031385213,0.00006567991,0.00008162415,0.00021184591,0.00008681124,0.000013781187,0.000096526215,0.000046347363,0.0000015457925],"category_scores_gemma":[0.00006267722,0.000050810322,0.0000040146124,0.00042881034,0.0004635783,0.0003770268,0.000032409425,0.000031865708,0.0000010248983],"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":[5.2064956e-7,0.0000049643995,0.011788922,0.000022633529,0.0000034575253,1.7362265e-7,0.00004939847,1.7678282e-7,0.9763239,0.0021546455,0.0000026676212,0.009648539],"study_design_scores_gemma":[0.00011436815,0.000054423086,0.013882469,0.00007484753,0.000003621428,0.000002122675,0.000052357296,0.000010550849,0.984695,0.0009336208,0.00010949147,0.000067125],"about_ca_topic_score_codex":0.000004899179,"about_ca_topic_score_gemma":0.0000062954136,"teacher_disagreement_score":0.009581414,"about_ca_system_score_codex":0.000113716,"about_ca_system_score_gemma":0.00002442143,"threshold_uncertainty_score":0.20719849},"labels":[],"label_agreement":null},{"id":"W2523568150","doi":"10.1088/0957-0233/27/3/035905","title":"A modified hot thermocouple apparatus for the study of molten oxide solidification and crystallization","year":2016,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","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":"University of Toronto","funders":"","keywords":"Thermocouple; Materials science; Temperature measurement; Calibration; Power (physics); Crystallization; Oxide; Nuclear engineering; Composite material; Thermodynamics; Metallurgy; Engineering; Physics","score_opus":0.035350686916697224,"score_gpt":0.23558746827657295,"score_spread":0.20023678135987572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523568150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8315682,0.00038910774,0.16696443,0.0002273792,0.00002856357,0.00051265233,0.0000010182063,0.00006271978,0.0002459368],"genre_scores_gemma":[0.9996924,0.00012375954,0.00007685844,0.000003458447,0.0000037661764,0.00008942219,7.954861e-8,0.0000050182352,0.0000052849136],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993456,0.000003844571,0.000117163014,0.0001418552,0.00026882114,0.00012271506],"domain_scores_gemma":[0.9994894,0.000022098313,0.00003389124,0.00015690611,0.00027913193,0.000018550523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007266948,0.00006161178,0.000085222884,0.00009483661,0.000108003034,0.000014330209,0.0001570239,0.00003483833,0.0000012059442],"category_scores_gemma":[0.00013975629,0.000031681193,0.0000061305573,0.00031856637,0.00021110216,0.00007540952,0.000027049537,0.000026158943,2.2190028e-7],"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":[0.00001526456,0.00006473788,0.00011645618,0.000033936492,0.000026194952,1.2602813e-7,0.00011653799,0.0017802581,0.95333457,0.019759437,0.0000054489356,0.024747048],"study_design_scores_gemma":[0.0016410442,0.00042036467,0.0057168268,0.000040852654,0.000069753725,0.000004523439,0.0012236902,0.943857,0.028443286,0.017632734,0.0007132897,0.00023664547],"about_ca_topic_score_codex":0.0000047557937,"about_ca_topic_score_gemma":0.000019726627,"teacher_disagreement_score":0.94207674,"about_ca_system_score_codex":0.00003058478,"about_ca_system_score_gemma":0.000018819032,"threshold_uncertainty_score":0.12919214},"labels":[],"label_agreement":null},{"id":"W2534350615","doi":"10.1088/0957-0233/27/12/125601","title":"A multi-channel setup to study fractures in scintillators","year":2016,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Scintillator; Compression (physics); Nanosecond; Light guide; Strain (injury)","score_opus":0.028156363344155055,"score_gpt":0.2829704648728212,"score_spread":0.2548141015286661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2534350615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99465394,0.000023943629,0.0012638977,0.0032602584,0.00012479286,0.0003815961,0.0000014338651,0.00015793483,0.00013220811],"genre_scores_gemma":[0.99965733,0.0000013760031,0.0001983066,0.000041060383,0.000011984822,0.00006584399,9.655676e-9,0.000005218186,0.00001885754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99851066,0.000014038445,0.00018408541,0.00043011058,0.0005503933,0.0003107307],"domain_scores_gemma":[0.9992646,0.000009243822,0.000052613992,0.00029346443,0.00031308946,0.00006699177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011198418,0.00011869632,0.00014649263,0.0010875894,0.00020331565,0.0000405054,0.0003148684,0.000047555342,0.0000447323],"category_scores_gemma":[0.00028632648,0.0000779801,0.000013992461,0.0017202606,0.0003025641,0.00014599107,0.00013744918,0.0000940143,0.000030704054],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008455024,0.00027700423,0.72577834,0.0000013851802,0.000019063971,0.0000023633531,0.0003450318,0.00003360903,0.057049923,0.0009948422,0.00020348118,0.21528648],"study_design_scores_gemma":[0.0034323875,0.000727733,0.7167509,0.0000695778,0.000015466192,0.000003961162,0.011805855,0.00066823047,0.2531995,0.007088934,0.005540094,0.00069732254],"about_ca_topic_score_codex":0.000056379537,"about_ca_topic_score_gemma":0.00010829786,"teacher_disagreement_score":0.21458915,"about_ca_system_score_codex":0.00011805587,"about_ca_system_score_gemma":0.00008244497,"threshold_uncertainty_score":0.3179936},"labels":[],"label_agreement":null},{"id":"W2563535011","doi":"10.1088/1361-6501/aa543e","title":"A diagnostic signal selection scheme for planetary gearbox vibration monitoring under non-stationary operational conditions","year":2016,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Gear and Bearing Dynamics Analysis","field":"Engineering","cited_by":52,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Vibration; SIGNAL (programming language); Selection (genetic algorithm); Scheme (mathematics); Acoustics; Computer science; Control theory (sociology); Environmental science; Physics; Mathematics; Artificial intelligence; Mathematical analysis","score_opus":0.015710101731154797,"score_gpt":0.22162139303466133,"score_spread":0.20591129130350652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563535011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7609368,0.00008227553,0.23597217,0.0022176676,0.00016948179,0.00026503604,0.000014158732,0.00020452013,0.00013788206],"genre_scores_gemma":[0.9973157,0.000021697588,0.0025093288,0.000012247287,0.00004018537,0.00007757139,0.0000052119212,0.0000058331275,0.000012190964],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922395,0.0000031916238,0.00009628855,0.00016731817,0.00034506785,0.0001641633],"domain_scores_gemma":[0.9995121,0.00003926649,0.0000162342,0.00006329785,0.00033773773,0.00003137441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003518124,0.00006879823,0.00006530512,0.00032013212,0.0002506301,0.000035228186,0.000080194906,0.000050998042,0.000010997689],"category_scores_gemma":[0.00012840843,0.00005592266,0.000011908607,0.0004225146,0.00012130615,0.00015258987,0.000014164804,0.000046717872,0.0000065846407],"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":[0.000002054921,0.000024131023,0.022941967,0.000012774574,0.000032680582,4.4534647e-7,0.000011979423,0.005215962,0.96338725,0.004182527,0.00012556411,0.0040626456],"study_design_scores_gemma":[0.0011861466,0.0003561561,0.23882248,0.00016184266,0.000089116664,0.000026190379,0.00021266144,0.55347747,0.19310364,0.011209092,0.0008148927,0.00054031797],"about_ca_topic_score_codex":0.000004967002,"about_ca_topic_score_gemma":0.000027970098,"teacher_disagreement_score":0.77028364,"about_ca_system_score_codex":0.00015893302,"about_ca_system_score_gemma":0.000084413885,"threshold_uncertainty_score":0.22804599},"labels":[],"label_agreement":null},{"id":"W2609216801","doi":"10.1088/1361-6501/aa6f4e","title":"Sample preparation method for 3D size measurements of polystyrene nanoparticles with nominal 30, 50, 70 and 100 nm diameters by electron tomography","year":2017,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","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":"University of Alberta; National Research Council Canada; National Institute for Nanotechnology","funders":"","keywords":"Polystyrene; Materials science; Sample (material); Sample preparation; Electron; Tomography; Electron tomography; Nanoparticle; Analytical Chemistry (journal); Optics; Nanotechnology; Scanning electron microscope; Chromatography; Composite material; Chemistry; Polymer; Physics; Nuclear physics","score_opus":0.017331756124131126,"score_gpt":0.33337832102787274,"score_spread":0.3160465649037416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2609216801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74842155,0.00092798827,0.24921004,0.00067538593,0.000013237549,0.00063912704,0.000018994984,0.000028106957,0.000065588036],"genre_scores_gemma":[0.87796885,0.00006340263,0.121748775,0.000033645334,0.0000072310913,0.00015904977,0.0000029478883,0.0000075339226,0.000008556571],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988925,0.000011310693,0.00014487571,0.00041568026,0.00025733584,0.00027830803],"domain_scores_gemma":[0.99900115,0.000009348182,0.00017363625,0.00038130037,0.00038897537,0.000045618195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081814866,0.00011691611,0.000135633,0.000077799596,0.00044791057,0.00004028062,0.00025662134,0.00007391911,9.397387e-7],"category_scores_gemma":[0.00029142355,0.00010034633,0.000016815164,0.00013614405,0.00066138187,0.000019846775,0.000071152,0.00004371092,7.222159e-8],"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":[0.0000664908,0.000042617834,0.0034695263,0.000009177208,0.00001732445,2.0465595e-8,0.0000061544647,7.1238964e-7,0.9856155,0.00020981483,0.000119074204,0.010443568],"study_design_scores_gemma":[0.00037808044,0.0011791774,0.0005800263,0.000011567686,0.000027359072,0.0000034555712,0.000017187795,0.000045840487,0.99233097,0.0006859393,0.004622295,0.000118123025],"about_ca_topic_score_codex":0.00005680106,"about_ca_topic_score_gemma":0.000070407616,"teacher_disagreement_score":0.12954733,"about_ca_system_score_codex":0.000032065207,"about_ca_system_score_gemma":0.000104987776,"threshold_uncertainty_score":0.4092005},"labels":[],"label_agreement":null},{"id":"W2734570423","doi":"10.1088/1361-6501/aa8011","title":"Methods and considerations to determine sphere center from terrestrial laser scanner point cloud data","year":2017,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Point cloud; Laser scanning; Point (geometry); Metrology; Computer science; Laser; Dimensional metrology; Center (category theory); Integrating sphere; Remote sensing; Optics; Computer vision; Mathematics; Geography; Physics; Geometry","score_opus":0.14864675985692238,"score_gpt":0.328388999874461,"score_spread":0.17974224001753863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734570423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879446,0.00032307816,0.00025903326,0.008122324,0.00074979314,0.00021593676,0.00012688892,0.00006248722,0.0021958838],"genre_scores_gemma":[0.98727536,0.000017900036,0.012360718,0.00021988431,0.00008006659,0.0000016183498,0.000010446387,0.0000017380775,0.00003224117],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985767,0.00005691583,0.0001502948,0.0005233274,0.0004143121,0.0002784248],"domain_scores_gemma":[0.998863,0.000041761494,0.0000652676,0.00075388135,0.00013648588,0.00013964098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023919994,0.00011011381,0.00015239594,0.00007622398,0.0011159672,0.00038869472,0.00059790123,0.00006526725,0.00021361184],"category_scores_gemma":[0.0021569028,0.00007891419,0.00000820417,0.00013076086,0.00075469044,0.00049731805,0.000205834,0.00010901524,0.000026021904],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028987874,0.00002577185,0.47970864,0.000004777041,0.000019744255,0.00002460833,0.00014305496,0.000003545909,0.013464556,0.000089843634,0.0046209125,0.50186557],"study_design_scores_gemma":[0.0021415742,0.000525787,0.884985,0.00015070355,0.00006540716,0.00010588566,0.0012886203,0.006246595,0.023875356,0.01267417,0.06706872,0.0008721756],"about_ca_topic_score_codex":0.0017055537,"about_ca_topic_score_gemma":0.018812897,"teacher_disagreement_score":0.5009934,"about_ca_system_score_codex":0.0000086317195,"about_ca_system_score_gemma":0.00010351967,"threshold_uncertainty_score":0.9990912},"labels":[],"label_agreement":null},{"id":"W2768546781","doi":"10.1088/1361-6501/aa9cf3","title":"A multimodal 3D framework for fire characteristics estimation","year":2017,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fire Detection and Safety Systems","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":"Université Laval; Université de Moncton","funders":"","keywords":"Estimation; Computer science; Artificial intelligence; Engineering; Systems engineering","score_opus":0.026817348460884956,"score_gpt":0.2559132071275321,"score_spread":0.22909585866664717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768546781","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43844256,0.00025818715,0.5499722,0.0040566865,0.0031990742,0.0010459471,0.0000152299135,0.0012366803,0.0017734729],"genre_scores_gemma":[0.99064636,0.000012587455,0.009227789,0.000011858242,0.000031129646,0.00005699043,3.200235e-7,0.0000062935405,0.000006660373],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992557,0.0000019518484,0.000113029906,0.00014886953,0.00029909436,0.00018132881],"domain_scores_gemma":[0.99934024,0.000007462551,0.00004571582,0.00029738143,0.00027554683,0.00003368452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006780123,0.00007098598,0.00009850978,0.00010808024,0.00059129257,0.00009838996,0.00023700797,0.00009893788,0.0000030125789],"category_scores_gemma":[0.0013237317,0.0000666125,0.000010409616,0.00011767357,0.00026598427,0.00014989807,0.000029767562,0.00008545774,0.000008303421],"study_design_candidate":"design_other","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":[0.0000064262626,0.000016900893,0.0017726865,0.00009249967,0.000012824895,0.0000013272382,0.000103012746,0.00006731656,0.03093942,0.007595947,0.00015759857,0.95923406],"study_design_scores_gemma":[0.00036196868,0.00009983145,0.019962354,0.00011885608,0.000011522679,0.000013125749,0.000077431374,0.9508083,0.014065682,0.0037311139,0.0105191665,0.00023067233],"about_ca_topic_score_codex":0.000004774669,"about_ca_topic_score_gemma":0.0000056792583,"teacher_disagreement_score":0.9590034,"about_ca_system_score_codex":0.00009809763,"about_ca_system_score_gemma":0.000029055003,"threshold_uncertainty_score":0.45478043},"labels":[],"label_agreement":null},{"id":"W2769340733","doi":"10.1088/1361-6501/aa9d5a","title":"A leakage-free resonance sparse decomposition technique for bearing fault detection in gearboxes","year":2017,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Leakage (economics); Bearing (navigation); Fault detection and isolation; Computer science; Materials science; Fault (geology); Decomposition; Acoustics; Artificial intelligence; Physics; Geology; Chemistry; Seismology","score_opus":0.02492986521791344,"score_gpt":0.2937282183723835,"score_spread":0.26879835315447004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769340733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83866465,0.0011721624,0.1471641,0.0026412006,0.0004044949,0.0033188865,0.00001059288,0.002223098,0.004400804],"genre_scores_gemma":[0.9898457,0.00010056842,0.009099919,0.000012857452,0.00001811931,0.00090467546,2.3268164e-7,0.000015452617,0.000002508037],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986986,0.0000071185455,0.00019047533,0.00033601734,0.00041718435,0.00035058675],"domain_scores_gemma":[0.9989567,0.000012872227,0.00006000047,0.0006646459,0.0002688048,0.000036971567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019089322,0.0001377748,0.00016137562,0.00063632743,0.0004444736,0.00010994369,0.0007320749,0.00014523506,0.0000010634004],"category_scores_gemma":[0.0012829964,0.00014295791,0.000017727236,0.0003495087,0.00039179943,0.00039275482,0.00017591447,0.00020557332,0.000001179237],"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":[0.000005688763,0.000025583804,0.0050972025,0.00003969032,0.00000269356,0.0000028200577,0.000018753677,0.000016232623,0.89689153,0.0013831928,0.00011391265,0.09640269],"study_design_scores_gemma":[0.00034027552,0.00010219918,0.015043415,0.00013729709,0.000005166081,0.000011274441,0.000016260661,0.0069315126,0.9654227,0.00915567,0.002652198,0.00018206178],"about_ca_topic_score_codex":0.00008441332,"about_ca_topic_score_gemma":0.00107573,"teacher_disagreement_score":0.15118101,"about_ca_system_score_codex":0.00033940605,"about_ca_system_score_gemma":0.000037001806,"threshold_uncertainty_score":0.5829655},"labels":[],"label_agreement":null},{"id":"W2797556907","doi":"10.1088/1361-6501/aabc9e","title":"The Planck-Balance—using a fixed value of the Planck constant to calibrate E1/E2-weights","year":2018,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":47,"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":"National Research Council Canada; Bundesministerium für Bildung und Forschung","keywords":"Planck constant; Planck; Physics; Calibration; Planck mass; Christian ministry; Constant (computer programming); Standard uncertainty; Planck length; Measurement uncertainty; Computer science; Planck scale; Quantum mechanics","score_opus":0.18275824055243653,"score_gpt":0.3685943208600234,"score_spread":0.1858360803075869,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797556907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97088784,0.0002974921,0.0023718989,0.012632302,0.0032210469,0.0009841718,0.000010498429,0.00007031731,0.009524432],"genre_scores_gemma":[0.9990188,0.000002308157,0.00047878426,0.00025372618,0.00006899671,0.00001747024,1.4114973e-7,0.000005106337,0.00015469013],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99072015,0.00020528828,0.00068578986,0.0007568204,0.0070458525,0.00058607646],"domain_scores_gemma":[0.99398714,0.0002050522,0.0003979307,0.0011803929,0.004111171,0.00011828176],"candidate_categories":["metaresearch","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.026159406,0.00017281713,0.00026307357,0.00058562134,0.0019175478,0.0003489593,0.002265187,0.000096721305,0.000043964235],"category_scores_gemma":[0.011375512,0.00008365314,0.00004855331,0.0053428034,0.0039301733,0.00025957337,0.00042449584,0.00015413783,0.000045317152],"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":[0.00012209172,0.00008208483,0.13400987,0.0000064263522,0.000030749205,0.0000015838418,0.0009866925,0.00007000382,0.67794305,0.14100288,0.013512364,0.032232225],"study_design_scores_gemma":[0.0014286562,0.00060948165,0.039556775,0.00027660746,0.000067332425,0.00003380765,0.003480652,0.028882517,0.53766775,0.32631442,0.061085586,0.0005964324],"about_ca_topic_score_codex":0.00003726368,"about_ca_topic_score_gemma":0.00036703938,"teacher_disagreement_score":0.18531153,"about_ca_system_score_codex":0.00021724771,"about_ca_system_score_gemma":0.0010881011,"threshold_uncertainty_score":0.99938184},"labels":[],"label_agreement":null},{"id":"W2884857698","doi":"10.1088/1361-6501/aad4ce","title":"Lab on a chip for measurement of particulate flow velocity using a single detector","year":2018,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":4,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Detector; Chip; Particulates; Flow (mathematics); Materials science; Acoustics; Mechanics; Optics; Computer science; Physics; Telecommunications; Chemistry","score_opus":0.0682374661918773,"score_gpt":0.23820277578502602,"score_spread":0.1699653095931487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884857698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97901773,0.00047250482,0.018878432,0.00034259137,0.0002557338,0.0003432247,0.0000039342103,0.00053201197,0.00015380791],"genre_scores_gemma":[0.9918125,0.000016565038,0.008103029,0.000018529277,0.000024655952,0.000012576489,1.0228576e-7,0.000011078319,9.430464e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99835175,0.0000072498515,0.00021598162,0.00029399898,0.00072615047,0.0004048865],"domain_scores_gemma":[0.99853086,0.0000075962616,0.000050777704,0.00031569976,0.0010559956,0.000039040293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016026202,0.00014896347,0.00019866976,0.00039490077,0.00021991588,0.000023217586,0.00025634628,0.0001324572,0.0000026789746],"category_scores_gemma":[0.0007885133,0.0001252128,0.000025236432,0.00085633656,0.0011473851,0.000064384265,0.0000760665,0.00009019842,0.0000029039868],"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":[0.000010306543,0.000034375887,0.00016759872,0.000030621282,0.0000136424815,4.862121e-7,0.00002901611,0.000013847481,0.96462536,0.0002611225,0.00019367898,0.034619965],"study_design_scores_gemma":[0.0002858974,0.0004149222,0.00020823767,0.00010061192,0.000019748302,0.000005906962,0.00007480834,0.0147485705,0.9814827,0.00092725834,0.0015846547,0.00014667503],"about_ca_topic_score_codex":0.000006172383,"about_ca_topic_score_gemma":0.000025984842,"teacher_disagreement_score":0.03447329,"about_ca_system_score_codex":0.00036213014,"about_ca_system_score_gemma":0.00009997664,"threshold_uncertainty_score":0.51060295},"labels":[],"label_agreement":null},{"id":"W2890804875","doi":"10.1088/1361-6501/aae125","title":"Improving the accuracy of wearable sensor orientation using a two-step complementary filter with state machine-based adaptive strategy","year":2018,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Natural Science Foundation of China","keywords":"Wearable computer; Orientation (vector space); Computer science; State (computer science); Adaptive filter; Filter (signal processing); Wearable technology; Artificial intelligence; Computer vision; Algorithm; Mathematics; Embedded system","score_opus":0.03360107809577181,"score_gpt":0.25361412052926635,"score_spread":0.22001304243349454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890804875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9216007,0.000061502884,0.07764187,0.000076187935,0.000069454654,0.00026892414,0.0000052812366,0.00007343443,0.00020262548],"genre_scores_gemma":[0.9960609,0.0000017369223,0.0038806715,0.000026526184,0.000016129363,0.000005028853,7.7793567e-7,0.0000070997417,0.0000011056171],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989268,0.000013261036,0.00015810072,0.00016174087,0.000505905,0.00023419714],"domain_scores_gemma":[0.99912393,0.000016254933,0.00006908242,0.00015210225,0.0006147664,0.000023885214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008111655,0.00009123777,0.00008782908,0.00019483533,0.00023137363,0.000024653677,0.00012880177,0.000023200568,0.000008453627],"category_scores_gemma":[0.0000476223,0.000061584666,0.000007900371,0.00076442416,0.0005800467,0.00017406954,0.000022300426,0.00009218712,0.0000012057499],"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":[0.00005231524,0.000014336407,0.0016455861,0.00001838326,0.000013545371,0.0000014859011,0.0001252553,0.003895502,0.96309847,0.00027897165,0.0000071206046,0.030849041],"study_design_scores_gemma":[0.00046180454,0.00026161803,0.00058352045,0.000035380413,0.000015554,0.000004703212,0.00048467488,0.38803926,0.60991263,0.00008341874,0.00003354587,0.00008390411],"about_ca_topic_score_codex":0.0005567037,"about_ca_topic_score_gemma":0.0004973397,"teacher_disagreement_score":0.38414377,"about_ca_system_score_codex":0.00012926004,"about_ca_system_score_gemma":0.00008524984,"threshold_uncertainty_score":0.25113496},"labels":[],"label_agreement":null},{"id":"W2895791845","doi":"10.1088/1361-6501/aae6f9","title":"High-accuracy roundness measurements at NRC","year":2018,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Measurement and Metrology Techniques","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":"National Research Council Canada","funders":"","keywords":"Roundness (object); Computer science; Mathematics; Geometry","score_opus":0.039654803672990256,"score_gpt":0.2577533805733737,"score_spread":0.21809857690038345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895791845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9448797,0.0019670017,0.021355161,0.0014152352,0.002148662,0.0008972445,0.0000038041417,0.0039505814,0.0233826],"genre_scores_gemma":[0.9957276,0.00009560252,0.0038354625,0.00009818525,0.00008899099,0.00008626789,5.1585425e-7,0.000024861234,0.000042503605],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99646324,0.00001549201,0.00027856108,0.00049173343,0.0020439005,0.00070707034],"domain_scores_gemma":[0.9968516,0.0000098597875,0.00006328018,0.0005011855,0.0024485276,0.00012554614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033412771,0.0002537527,0.00025806515,0.00073202135,0.00058187224,0.00004324336,0.0005498576,0.0001682236,0.000048124784],"category_scores_gemma":[0.0011629364,0.00023444447,0.000021777609,0.0015061377,0.001744059,0.0004218178,0.00018783851,0.00018461884,0.000065844775],"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":[0.000012536813,0.000029361352,0.0047166077,0.00001685142,0.000026589134,0.0000022847996,0.000037257796,0.0000045706547,0.9544212,0.0020705531,0.002278321,0.03638386],"study_design_scores_gemma":[0.00051694957,0.00024885283,0.0016501121,0.000037787056,0.00002599645,0.00002000961,0.000048472724,0.00014592112,0.94870555,0.0046385494,0.043624565,0.00033721258],"about_ca_topic_score_codex":0.0000083434325,"about_ca_topic_score_gemma":0.00014414852,"teacher_disagreement_score":0.0508479,"about_ca_system_score_codex":0.0013356126,"about_ca_system_score_gemma":0.00014890468,"threshold_uncertainty_score":0.95603675},"labels":[],"label_agreement":null},{"id":"W2897281729","doi":"10.1088/1361-6501/aae91d","title":"Assessing the limitations of effective number of samples for finding the uncertainty of the mean of correlated data","year":2018,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Control Systems and Identification","field":"Engineering","cited_by":17,"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 Toronto","funders":"","keywords":"Autocorrelation; Scale (ratio); Independent and identically distributed random variables; Mathematics; Statistics; Set (abstract data type); Data set; Computer science; Random variable; Physics","score_opus":0.12649827573787212,"score_gpt":0.3142543512897384,"score_spread":0.18775607555186627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897281729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882935,0.00017217315,0.009997405,0.00044504664,0.00021703019,0.00055270566,0.000013941241,0.00001452932,0.00029362654],"genre_scores_gemma":[0.9998497,0.000008167951,0.000113005684,0.0000015132487,0.000006475553,0.000016625643,5.155082e-7,0.0000023384064,0.000001655611],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99932545,0.000022957529,0.00019685594,0.000092388014,0.00028438712,0.00007796204],"domain_scores_gemma":[0.9985452,0.00016084337,0.0001510014,0.00041416567,0.0007239408,0.000004808403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023102104,0.000039276067,0.0000992242,0.00006160578,0.0001486098,0.000010258646,0.00045391862,0.000030112536,7.2399337e-7],"category_scores_gemma":[0.001441738,0.000019969624,0.000014785626,0.0006112755,0.00084010646,0.00009749613,0.00006984857,0.000042981752,1.252932e-7],"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":[0.000003553298,0.00001987725,0.010098347,0.00005228419,0.000051151754,5.8511485e-9,0.0007558348,0.00023814823,0.93343925,0.010649978,0.000117889744,0.04457369],"study_design_scores_gemma":[0.00077085546,0.00014050466,0.18095697,0.00045918854,0.00021361622,0.000004383954,0.008271756,0.14052454,0.6598333,0.006876462,0.0018064228,0.00014201892],"about_ca_topic_score_codex":0.000092025206,"about_ca_topic_score_gemma":0.00029534582,"teacher_disagreement_score":0.27360594,"about_ca_system_score_codex":0.000029337409,"about_ca_system_score_gemma":0.00005392953,"threshold_uncertainty_score":0.30954072},"labels":[],"label_agreement":null},{"id":"W2899448978","doi":"10.1088/1361-6501/aaed01","title":"Lens-less PSD measurement of flexible link deflection","year":2018,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Measurement and Metrology Techniques","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":"Canadian Space Agency; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; National Aeronautics and Space Administration","keywords":"Deflection (physics); Link (geometry); Lens (geology); Optics; Materials science; Physics; Computer science","score_opus":0.05411313429696522,"score_gpt":0.2603535120577212,"score_spread":0.20624037776075602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899448978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6191708,0.008624494,0.28280854,0.0025626996,0.003245585,0.0017519796,0.0000040375735,0.0055960524,0.07623583],"genre_scores_gemma":[0.9965992,0.00014480324,0.0030627782,0.00003228936,0.00007202615,0.000058474412,1.5050708e-7,0.000016460277,0.000013813034],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99743277,0.0000136960625,0.0002949793,0.00035381384,0.0014237916,0.00048096394],"domain_scores_gemma":[0.99691874,0.0000046893865,0.00007169424,0.00038073014,0.0025617422,0.00006239318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030457885,0.00018332204,0.00023864815,0.0008575438,0.00023032143,0.000016030574,0.00033826396,0.00016008203,0.000016135333],"category_scores_gemma":[0.00034229713,0.00017271968,0.000025244055,0.0014655079,0.001343791,0.00028415388,0.000070107766,0.00018301822,0.000011186653],"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":[0.000010769445,0.00002937066,0.002569275,0.000027442278,0.000025621215,6.8110745e-7,0.000044554014,0.000006209985,0.9041665,0.005011878,0.0004067501,0.08770095],"study_design_scores_gemma":[0.00030107034,0.0004172753,0.002440993,0.000064923,0.00002798,0.000009765437,0.00012653426,0.0002824518,0.98140836,0.0035251009,0.011194174,0.0002013659],"about_ca_topic_score_codex":0.00000974981,"about_ca_topic_score_gemma":0.00005833725,"teacher_disagreement_score":0.3774284,"about_ca_system_score_codex":0.00043589334,"about_ca_system_score_gemma":0.0001509456,"threshold_uncertainty_score":0.7043304},"labels":[],"label_agreement":null},{"id":"W2914674259","doi":"10.1088/1361-6501/aafd87","title":"On-line temperature measurement using single-ended distributed cascading fiber Bragg gratings-based Brillouin optical fiber sensor","year":2019,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Fiber Optic Sensors","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":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"National Natural Science Foundation of China","keywords":"Fiber Bragg grating; PHOSFOS; Materials science; Optics; Fiber optic sensor; Brillouin zone; Line (geometry); Optical fiber; Fiber; Brillouin scattering; Optoelectronics; Polarization-maintaining optical fiber; Physics; Composite material; Mathematics","score_opus":0.03438947835175095,"score_gpt":0.24158262139634337,"score_spread":0.2071931430445924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914674259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924811,0.00024080939,0.003205349,0.000776446,0.0004099663,0.0006721527,0.0000141709415,0.0007701334,0.0014298412],"genre_scores_gemma":[0.9897897,0.0000028759473,0.009975643,0.0000859473,0.00003708007,0.000016661792,0.000003238419,0.000046637564,0.00004217371],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99581856,0.00002387249,0.0004131213,0.0007466887,0.002129806,0.00086793484],"domain_scores_gemma":[0.99796605,0.00005043188,0.000084514555,0.0006064637,0.0011171437,0.00017539301],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013954809,0.00040158298,0.00041069792,0.0005822715,0.00029268142,0.00011735295,0.0003547472,0.00028917557,0.000064631306],"category_scores_gemma":[0.0011251414,0.00036817917,0.000052840907,0.0017200306,0.0005245886,0.00022844545,0.00008087205,0.000519076,0.00008684975],"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":[0.000019333193,0.00006808495,0.00014667102,0.00004413264,0.000032046366,0.00001816166,0.000026807127,0.044311214,0.95037127,0.0004643222,0.00015373547,0.0043442287],"study_design_scores_gemma":[0.0016428825,0.00046860642,0.00023948996,0.00044873398,0.000059231374,0.000093504226,0.00022983208,0.10098811,0.89143723,0.0003443508,0.0031691608,0.00087886094],"about_ca_topic_score_codex":0.0000039241263,"about_ca_topic_score_gemma":0.0000089016485,"teacher_disagreement_score":0.058934025,"about_ca_system_score_codex":0.001411947,"about_ca_system_score_gemma":0.00018409398,"threshold_uncertainty_score":0.99987704},"labels":[],"label_agreement":null},{"id":"W2915595964","doi":"10.1088/1361-6501/ab0afc","title":"Determining the pressure distribution of a multi-phase flow through a pore space using velocity measurement and shape analysis","year":2019,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":16,"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":"","keywords":"Mechanics; Vector field; Particle image velocimetry; Materials science; Flow (mathematics); Thermal velocity; Flow velocity; Capillary action; Velocimetry; Field (mathematics); Two-phase flow; Physics; Turbulence; Mathematics; Composite material","score_opus":0.030883308852537383,"score_gpt":0.24846962515755064,"score_spread":0.21758631630501327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915595964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97784567,0.0013084053,0.020128902,0.00017096293,0.00009514442,0.0003150852,0.000016947432,0.000076482116,0.000042421998],"genre_scores_gemma":[0.9979976,0.000059557016,0.0019105093,0.000007586408,0.000005258831,0.000008804639,0.0000023521925,0.000006776293,0.0000015479789],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983597,0.000013779425,0.00020209521,0.00029143874,0.0008583911,0.00027463774],"domain_scores_gemma":[0.9989801,0.000007343673,0.00006147378,0.00029583718,0.0006185944,0.000036627687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014149571,0.00014182803,0.00023158814,0.0001951141,0.00017721466,0.000041880947,0.0002259729,0.00008416554,0.00000509247],"category_scores_gemma":[0.00018100235,0.00010634526,0.000033684,0.0013376214,0.00034691516,0.0001635223,0.00010416253,0.00013252014,5.645544e-7],"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":[0.00004387255,0.0006121897,0.2371766,0.0006067843,0.0017538839,0.000009679996,0.0016213942,0.11906517,0.529962,0.006799404,0.00009328555,0.102255754],"study_design_scores_gemma":[0.0005876028,0.00005302856,0.012532764,0.000039405968,0.00022370392,0.0000026999658,0.00007186876,0.9826748,0.0032863955,0.00007882299,0.00032554974,0.00012338968],"about_ca_topic_score_codex":0.000018791141,"about_ca_topic_score_gemma":0.00004159429,"teacher_disagreement_score":0.8636096,"about_ca_system_score_codex":0.00014277732,"about_ca_system_score_gemma":0.00006643143,"threshold_uncertainty_score":0.43366337},"labels":[],"label_agreement":null},{"id":"W2924658959","doi":"10.1088/1361-6501/ab1245","title":"An electrode misalignment inspection system based on image processing technology for use in resistance spot welding","year":2019,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":8,"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":"China Scholarship Council","keywords":"Spot welding; Welding; Electrode; Image processing; Computer science; Computer vision; Materials science; Acoustics; Engineering drawing; Artificial intelligence; Mechanical engineering; Image (mathematics); Composite material; Engineering; Physics","score_opus":0.0147079082679929,"score_gpt":0.23315644753145007,"score_spread":0.21844853926345717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924658959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9752273,0.00031034023,0.01905173,0.0006937128,0.0001385892,0.0008711499,0.0000026399011,0.0028829826,0.0008215409],"genre_scores_gemma":[0.9899167,0.000015858315,0.00988798,0.000013113499,0.000011660323,0.00013245494,5.2320553e-7,0.000018079989,0.000003637979],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984878,0.000008460302,0.00019635771,0.00042135388,0.00046622896,0.00041984316],"domain_scores_gemma":[0.9993301,0.000011688821,0.000047347705,0.00031505155,0.00026035952,0.00003542459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009715011,0.00015013712,0.00017933914,0.0010916837,0.00018155419,0.000087410655,0.0002956048,0.00015821561,7.1933863e-7],"category_scores_gemma":[0.00011853464,0.0001367657,0.000012459517,0.0013665343,0.00020033478,0.00026091063,0.000023083538,0.00017401109,0.0000014744696],"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":[0.000041180032,0.000074501826,0.006808039,0.00040413803,0.0000045100273,0.000006055843,0.000020395137,0.0019596533,0.9807584,0.0048300265,0.00019262682,0.0049004457],"study_design_scores_gemma":[0.00041459445,0.00030344055,0.0005939451,0.000520756,0.0000064016394,0.000004567314,0.0002634853,0.05823143,0.93785864,0.00049797783,0.0010775949,0.00022715727],"about_ca_topic_score_codex":0.000008956632,"about_ca_topic_score_gemma":0.00009139417,"teacher_disagreement_score":0.056271773,"about_ca_system_score_codex":0.00073369243,"about_ca_system_score_gemma":0.00007779082,"threshold_uncertainty_score":0.55771434},"labels":[],"label_agreement":null},{"id":"W2933513629","doi":"10.1088/1361-6501/ab150d","title":"8-port homodyne detection of optical fields using IQ demodulation","year":2019,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Photonic and Optical Devices","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":"Canadian Quantum Research Center; Canadian Institute for Advanced Research","funders":"","keywords":"Homodyne detection; Direct-conversion receiver; Demodulation; Port (circuit theory); Telecommunications; Optics; Computer science; Physics; Electronic engineering; Engineering; Channel (broadcasting)","score_opus":0.01873392181778753,"score_gpt":0.2197145991675677,"score_spread":0.20098067734978017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2933513629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98386496,0.00014094675,0.012887355,0.000049603197,0.00013750928,0.0000886515,1.4072907e-7,0.000078238794,0.0027526051],"genre_scores_gemma":[0.99930805,0.000011907298,0.0006622234,0.000005636794,0.000005051263,0.0000022273423,5.2591204e-8,0.0000029284254,0.0000018996398],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992686,0.0000018567525,0.000106100815,0.00012022282,0.0003603016,0.00014294176],"domain_scores_gemma":[0.99965614,0.000004164746,0.000015877911,0.000119895914,0.00017942386,0.000024469324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004723067,0.000049541683,0.00008653897,0.00017826533,0.00003983757,0.000008284602,0.00009247724,0.00007771848,0.0000063885045],"category_scores_gemma":[0.000070799026,0.00004456519,0.000008474191,0.00047691254,0.00016664743,0.000118197044,0.000027165623,0.00007679873,0.0000043562873],"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":[0.0000012852231,0.00000721932,0.0018742097,0.00002216322,0.0000040002033,3.0429584e-7,0.000010731327,0.0007400056,0.9800843,0.0028674307,5.179199e-7,0.014387831],"study_design_scores_gemma":[0.00012260964,0.000068513626,0.0073507093,0.000022626768,0.000008840824,0.0000075334756,0.000036611356,0.31500742,0.67584723,0.0013130779,0.00013803002,0.000076805925],"about_ca_topic_score_codex":0.000006328749,"about_ca_topic_score_gemma":0.000013363,"teacher_disagreement_score":0.3142674,"about_ca_system_score_codex":0.00007765997,"about_ca_system_score_gemma":0.00003405709,"threshold_uncertainty_score":0.18173157},"labels":[],"label_agreement":null},{"id":"W2940821365","doi":"10.1088/1361-6501/ab1c40","title":"Generalized framework for PIV-based pressure gradient error field determination and correction","year":2019,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":8,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Field (mathematics); Pressure gradient; Computer science; Algorithm; Mathematics; Mechanics; Physics","score_opus":0.011880796641970455,"score_gpt":0.23356632718511852,"score_spread":0.22168553054314807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940821365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76935625,0.00021927284,0.22836933,0.0007420779,0.0007740856,0.00032866793,0.000002196465,0.00013365955,0.00007449234],"genre_scores_gemma":[0.9923769,0.000011254722,0.007500977,0.00004827821,0.000010287192,0.000031703796,0.0000011471845,0.000005587367,0.000013858417],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993379,0.0000030938766,0.000087903005,0.00017641844,0.00025520968,0.00013945476],"domain_scores_gemma":[0.9995741,0.000031756565,0.000018751187,0.000096293574,0.00025409536,0.000024979916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003760066,0.00006882153,0.000078291276,0.0001977772,0.000095709285,0.000032143747,0.00008041909,0.00007318547,0.0000026292146],"category_scores_gemma":[0.00018782185,0.00006648863,0.000010001214,0.0002817016,0.00006377859,0.00006568063,0.000018700794,0.00007131614,7.9800276e-7],"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":[0.00006004765,0.0001156337,0.025707625,0.00042195086,0.000057734982,0.000001732077,0.0002103989,0.15886915,0.24365547,0.19895513,0.0006420619,0.37130305],"study_design_scores_gemma":[0.00020232261,0.00010551733,0.0016221773,0.000026418942,0.0000088590505,0.0000022014453,0.00001685381,0.9878103,0.0037382452,0.005461806,0.0009218742,0.00008343903],"about_ca_topic_score_codex":0.000002819109,"about_ca_topic_score_gemma":0.000019153837,"teacher_disagreement_score":0.82894117,"about_ca_system_score_codex":0.00006161647,"about_ca_system_score_gemma":0.000033993263,"threshold_uncertainty_score":0.2711328},"labels":[],"label_agreement":null},{"id":"W2940842119","doi":"10.1088/1361-6501/ab1d16","title":"Comprehensive calibration algorithm for long-endurance shipborne grid SINS","year":2019,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Inertial Sensor and Navigation","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":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Gyroscope; Accelerometer; Calibration; Control theory (sociology); Inertial navigation system; Grid; Frame (networking); Computer science; Inertial frame of reference; Reference frame; Position (finance); Inertial measurement unit; Rotating reference frame; Simulation; Geodesy; Computer vision; Mathematics; Physics; Engineering; Artificial intelligence; Aerospace engineering; Geology; Classical mechanics; Telecommunications","score_opus":0.017667231698903517,"score_gpt":0.21994118813119737,"score_spread":0.20227395643229384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940842119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8857747,0.0009112048,0.107712254,0.0012021272,0.0019456526,0.001019194,0.000012940218,0.000646045,0.00077590835],"genre_scores_gemma":[0.9984335,0.000031273717,0.0014058284,0.00003702986,0.00004410968,0.00002442711,0.0000028237805,0.000007263476,0.000013748671],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999129,0.0000036845342,0.000109321474,0.00018371208,0.0003598227,0.0002144539],"domain_scores_gemma":[0.99939257,0.0000073981255,0.000019531442,0.00012932299,0.00042287883,0.000028276476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002654241,0.000079503465,0.00009672217,0.0001641658,0.000106860796,0.000027169646,0.00011389553,0.00006903584,0.0000052862924],"category_scores_gemma":[0.000029756484,0.00007368888,0.000011325927,0.00052496267,0.0001429422,0.00020828853,0.00001626538,0.00007383732,0.000009804126],"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":[0.000004725835,0.000018166755,0.0021964477,0.000058044883,0.000010575396,0.0000010360167,0.000048121117,0.0005314288,0.85166895,0.0015040931,0.0005404118,0.143418],"study_design_scores_gemma":[0.0008150235,0.00018310461,0.0102658225,0.000051256597,0.000013308537,0.000012128511,0.00013770557,0.34647903,0.62912047,0.0010057455,0.01161823,0.00029816685],"about_ca_topic_score_codex":0.0000049263526,"about_ca_topic_score_gemma":0.000007051275,"teacher_disagreement_score":0.3459476,"about_ca_system_score_codex":0.0001069051,"about_ca_system_score_gemma":0.000030705356,"threshold_uncertainty_score":0.30049452},"labels":[],"label_agreement":null},{"id":"W2969813287","doi":"10.1088/1361-6501/ab274b","title":"Multiparameter gas sensing with linear hyperspectral absorption tomography","year":2019,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":58,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Hyperspectral imaging; Tomography; Absorption (acoustics); Remote sensing; Materials science; Environmental science; Optics; Computer science; Physics; Geology","score_opus":0.013595880435008038,"score_gpt":0.23082007242456148,"score_spread":0.21722419198955345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969813287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919037,0.00007457375,0.00051472243,0.001006294,0.000023815344,0.000105447194,8.7351606e-7,0.00017019873,0.0062003303],"genre_scores_gemma":[0.99627894,0.000009366393,0.003598713,0.000042157048,0.000015991467,0.0000101868645,5.856718e-7,0.000006321042,0.000037716713],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99872565,0.0000024961912,0.00009145667,0.00036800475,0.0005382466,0.00027415884],"domain_scores_gemma":[0.9992522,0.0000067787178,0.000042892032,0.00032702953,0.00032572047,0.00004539737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035875163,0.000095351956,0.000097649354,0.00023237932,0.00016632305,0.00003122498,0.00016633213,0.000070793896,0.00006718841],"category_scores_gemma":[0.000043615444,0.000076375865,0.000014440071,0.000817338,0.0005051386,0.00010517145,0.000033310476,0.00015162457,0.000033007545],"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":[0.000009784809,0.000028074557,0.011295227,0.000008932951,0.0000076118577,9.0443206e-7,0.000034541015,0.0000043864234,0.9840857,0.0015949069,0.000012951963,0.0029169822],"study_design_scores_gemma":[0.00037520682,0.00008079927,0.00072061224,0.00003085648,0.00001585285,0.00002891074,0.0005214651,0.0024996113,0.99284834,0.0007371141,0.0019954008,0.0001458058],"about_ca_topic_score_codex":0.000017335786,"about_ca_topic_score_gemma":0.000024959842,"teacher_disagreement_score":0.010574616,"about_ca_system_score_codex":0.00010474663,"about_ca_system_score_gemma":0.00008502247,"threshold_uncertainty_score":0.31145173},"labels":[],"label_agreement":null},{"id":"W2969831289","doi":"10.1088/1361-6501/ab8904","title":"Unscented Kalman filter (UKF)–based nonlinear parameter estimation for a turbulent boundary layer: a data assimilation framework","year":2020,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":9,"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 Waterloo","funders":"Compute Canada","keywords":"Data assimilation; Boundary layer; Turbulence; Discretization; Nonlinear system; Kalman filter; Particle image velocimetry; Drag; Boundary layer thickness","score_opus":0.1294091693223114,"score_gpt":0.2902670986481831,"score_spread":0.16085792932587173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969831289","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41164216,0.00081707747,0.49139857,0.09172408,0.00041749942,0.00226477,0.0003167577,0.0005760016,0.00084307446],"genre_scores_gemma":[0.9278021,0.000005594443,0.07023978,0.0017818705,0.000042226773,0.00000756446,0.00011621785,0.0000027085873,0.000001967413],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99804765,0.000031196774,0.00024463903,0.00058144715,0.000763534,0.0003315151],"domain_scores_gemma":[0.99891204,0.00012875484,0.00009474484,0.00038608958,0.0003384313,0.00013995521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013203301,0.00013059437,0.00016646023,0.00018411726,0.0004888319,0.00011971518,0.00054641266,0.00011629774,0.00017258439],"category_scores_gemma":[0.0030080415,0.000100667676,0.000020011186,0.0009365776,0.00045968164,0.00034785405,0.000045958972,0.00016338416,0.000024948396],"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":[0.0006644601,0.0004602163,0.27332762,0.00029399936,0.00011840986,0.000025695397,0.0006026947,0.03745922,0.016258327,0.0051470236,0.003907998,0.66173434],"study_design_scores_gemma":[0.00029076636,0.00029890737,0.016675228,0.00001770567,0.00002362037,0.0000014515665,0.000033324675,0.9639412,0.00045535347,0.009065899,0.009054514,0.0001419956],"about_ca_topic_score_codex":0.000013930732,"about_ca_topic_score_gemma":0.00003761331,"teacher_disagreement_score":0.926482,"about_ca_system_score_codex":0.000018138215,"about_ca_system_score_gemma":0.00019601913,"threshold_uncertainty_score":0.41051087},"labels":[],"label_agreement":null},{"id":"W2971309090","doi":"10.1088/1361-6501/aab83d","title":"Impact of particle concentration and out-of-range sizes on the measurements of the LISST","year":2018,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Gulf of Mexico Research Initiative","keywords":"Range (aeronautics); Particle (ecology); Materials science; Particle size; Statistical physics; Physics; Geology; Composite material","score_opus":0.06452248845900391,"score_gpt":0.2755482179910639,"score_spread":0.21102572953205997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971309090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972569,0.00016634731,0.00028097726,0.0005235023,0.000099085075,0.00028001997,0.000001985421,0.000058822065,0.0013324026],"genre_scores_gemma":[0.9998812,0.000022753495,0.000054506854,0.000017463317,0.000007883042,0.000009916092,4.686053e-8,0.000003856322,0.0000023748737],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988471,0.000020372589,0.00019050688,0.00010954638,0.00069697597,0.00013545142],"domain_scores_gemma":[0.99907315,0.000011927824,0.00007431925,0.0002378772,0.0005796236,0.000023116503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013049063,0.00007512188,0.00011083016,0.000053888125,0.00009139196,0.000011249152,0.00019851731,0.000041398638,0.000010807083],"category_scores_gemma":[0.00040159957,0.000042141684,0.000022014077,0.00048352868,0.0011329502,0.00008855749,0.000035504334,0.000055408193,4.802158e-7],"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":[0.0000068121335,0.000026691157,0.055748355,0.000011518683,0.000014972143,1.988352e-8,0.00017407721,0.0000030976014,0.93806046,0.002593289,0.00020435707,0.0031563716],"study_design_scores_gemma":[0.00016236935,0.00022711139,0.037597068,0.000053654745,0.000011123226,4.1015255e-7,0.00006088692,0.00058345683,0.96089774,0.00028424806,0.00007779736,0.000044114004],"about_ca_topic_score_codex":0.000011075671,"about_ca_topic_score_gemma":0.000039975406,"teacher_disagreement_score":0.022837324,"about_ca_system_score_codex":0.000061738814,"about_ca_system_score_gemma":0.00007421235,"threshold_uncertainty_score":0.4174402},"labels":[],"label_agreement":null},{"id":"W2971337144","doi":"10.1088/1361-6501/ab3fe1","title":"On the bias error due to obscured vectors in particle image velocimetry for concentrated solid–liquid flows","year":2019,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":1,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Particle image velocimetry; Particle tracking velocimetry; Velocimetry; Mechanics; Optics; Particle (ecology); Materials science; Computer science; Physics; Geology; Turbulence","score_opus":0.03637601304173944,"score_gpt":0.25901148068409074,"score_spread":0.22263546764235131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971337144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960826,0.00006915273,0.00072548044,0.0016513768,0.0003163409,0.00073751033,0.000003896549,0.00019185035,0.00022181754],"genre_scores_gemma":[0.99938583,0.0000032226326,0.00036904291,0.000095101,0.0000073300275,0.00012093657,2.7111594e-7,0.000013695908,0.0000045831084],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984636,0.000016566091,0.00020409761,0.00029966095,0.00048722237,0.00052889716],"domain_scores_gemma":[0.99925536,0.000060772265,0.000019734236,0.00035958827,0.00023773497,0.00006678564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018582541,0.00012835787,0.00016646153,0.00022179533,0.00010292994,0.000041607687,0.00039675864,0.000074865435,0.000014214496],"category_scores_gemma":[0.0012126551,0.00010007006,0.000016793923,0.0015516435,0.00022028427,0.00011015144,0.00006243624,0.00015137359,0.00006814593],"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":[0.000024480747,0.00002949323,0.0010985713,0.000010953979,0.000008564203,0.0000027569884,0.00013157279,0.0022951616,0.98634046,0.009199739,0.00015125949,0.0007069848],"study_design_scores_gemma":[0.00052233,0.0002772332,0.0022474204,0.00003962732,0.00000556256,0.0000030713898,0.00025928934,0.46573386,0.5295876,0.0008601367,0.00027871015,0.00018511292],"about_ca_topic_score_codex":0.0000051332136,"about_ca_topic_score_gemma":0.00006622223,"teacher_disagreement_score":0.4634387,"about_ca_system_score_codex":0.0003285471,"about_ca_system_score_gemma":0.000081017744,"threshold_uncertainty_score":0.40807384},"labels":[],"label_agreement":null},{"id":"W2971466732","doi":"10.1088/1361-6501/ab40d4","title":"State observer-based data assimilation: a PID control-inspired observer in the pressure equation","year":2019,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Observer (physics); Control theory (sociology); Data assimilation; PID controller; State observer; Computer science; Mathematics; Control (management); Physics; Artificial intelligence; Meteorology; Temperature control; Thermodynamics","score_opus":0.05393379724620712,"score_gpt":0.23543481577570013,"score_spread":0.18150101852949302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971466732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8383064,0.0016213659,0.14030536,0.015202154,0.000488137,0.0015664513,0.00007376029,0.00055724557,0.0018790954],"genre_scores_gemma":[0.99952626,0.000015958274,0.0002497194,0.00016585908,0.000005659885,0.000016099259,0.0000074593736,0.000004958746,0.000008004283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986086,0.000025535388,0.0001828982,0.00026036432,0.00073325326,0.00018934965],"domain_scores_gemma":[0.9991143,0.000018881625,0.0000357938,0.00060594245,0.00020446352,0.000020623236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002379968,0.00008728658,0.00011698524,0.00026533037,0.00008782675,0.00008445692,0.000583193,0.00005329699,0.000019533049],"category_scores_gemma":[0.00018822789,0.00006580953,0.000011055199,0.001217666,0.00011241988,0.00034638,0.00004417594,0.00011014262,0.000008993377],"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":[0.000041588093,0.00020222193,0.22024183,0.00017901015,0.00013706743,0.000007005902,0.00031447556,0.5311707,0.19584909,0.015143112,0.0013201775,0.035393685],"study_design_scores_gemma":[0.00047639606,0.000030594692,0.030593427,0.000012572052,0.000017444825,3.5011456e-7,0.000042373224,0.966038,0.0007484057,0.00034917032,0.0016065893,0.00008467616],"about_ca_topic_score_codex":0.000016318156,"about_ca_topic_score_gemma":0.00029524195,"teacher_disagreement_score":0.43486726,"about_ca_system_score_codex":0.000065903296,"about_ca_system_score_gemma":0.000098939614,"threshold_uncertainty_score":0.26836348},"labels":[],"label_agreement":null},{"id":"W2972209590","doi":"10.1088/1361-6501/ab404e","title":"Instrumentation for high-dose, high-resolution dosimetry for microbeam radiation therapy using samarium-doped fluoroaluminate and fluorophosphate glass plates","year":2019,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Royal Society; Canadian Light Source","keywords":"Materials science; Dosimetry; Samarium; Doping; Optics; Irradiation; Microscope; Radiation; Microbeam; Analytical Chemistry (journal); Calibration; Dose profile; Nuclear medicine; Optoelectronics; Chemistry; Physics; Nuclear physics","score_opus":0.0153998964812856,"score_gpt":0.263073108007663,"score_spread":0.2476732115263774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972209590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87954307,0.0006194591,0.11772525,0.0002869972,0.00019636643,0.0015078655,0.000020015987,0.00009134592,0.0000096312115],"genre_scores_gemma":[0.9552847,0.00008199054,0.04433926,0.000042873104,0.00004339321,0.00016488486,0.0000130655735,0.000017972048,0.000011821864],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99868894,0.000013646919,0.00021451895,0.00045741154,0.00028654822,0.00033896463],"domain_scores_gemma":[0.99920446,0.000028669341,0.00018114434,0.00019129457,0.00035603507,0.00003837702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008487607,0.0001718703,0.000218547,0.00032697033,0.00035199028,0.0000728637,0.00016983057,0.00008090436,0.000009137753],"category_scores_gemma":[0.000028471659,0.00015875438,0.000022708171,0.00046505794,0.00030148603,0.00045824243,0.00003950958,0.00007618784,4.6599442e-7],"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":[0.000059316288,0.00003560345,0.0091871675,0.000013347526,0.0000239293,3.3789625e-8,0.000032563414,0.000019561232,0.75913787,0.011446464,0.000020173591,0.22002396],"study_design_scores_gemma":[0.0022909609,0.00044512493,0.0025659134,0.000025957834,0.000017819468,0.0000010361285,0.000090001544,0.0064341133,0.9767225,0.010115351,0.0010816094,0.00020966037],"about_ca_topic_score_codex":0.00010607141,"about_ca_topic_score_gemma":0.0000018186674,"teacher_disagreement_score":0.21981429,"about_ca_system_score_codex":0.00021729084,"about_ca_system_score_gemma":0.000113956485,"threshold_uncertainty_score":0.6473816},"labels":[],"label_agreement":null},{"id":"W2990019820","doi":"10.1088/1361-6501/ab5acb","title":"Drift compensation in thermal anemometry","year":2019,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wheatstone bridge; Anemometer; Compensation (psychology); Calibration; Mechanics; Materials science; Repeatability; Thermal resistance; Resistance thermometer; Voltage; Acoustics; Temperature measurement; Work (physics); Thermal; Constant (computer programming); Environmental science; Electrical engineering; Turbulence; Resistor; Physics; Meteorology; Computer science; Thermodynamics; Heat transfer; Engineering; Mathematics","score_opus":0.008698957420194883,"score_gpt":0.18633156874882723,"score_spread":0.17763261132863234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990019820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933243,0.0002160523,0.00006926846,0.00028185442,0.00019324619,0.00012125369,2.7417312e-7,0.00011627063,0.005677505],"genre_scores_gemma":[0.99980676,0.000014329259,0.00013839889,0.000017349608,0.000004459778,0.00000511197,2.159801e-7,0.000004407851,0.000008972246],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918664,0.0000028421334,0.000090113346,0.00014515834,0.00038428965,0.00019094514],"domain_scores_gemma":[0.99972516,0.0000031265058,0.00000884342,0.00014308402,0.000099815974,0.000019983665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068928744,0.000060024333,0.00007717702,0.0005055473,0.00003196693,0.000019223986,0.00015204704,0.000051473802,0.00001597197],"category_scores_gemma":[0.00003490772,0.000055134165,0.0000053697277,0.0009059997,0.000109750305,0.00010442524,0.000033187323,0.0000962328,0.000031294905],"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":[0.0000018581809,0.000025178882,0.14281482,0.000027381586,0.000004642256,0.0000030200636,0.000054915552,0.004265324,0.8122648,0.01430305,0.0000458805,0.02618915],"study_design_scores_gemma":[0.00092102564,0.00012333204,0.20995715,0.00006281108,0.0000047518574,0.000010552289,0.00013031084,0.7497308,0.03426552,0.0016261464,0.0028085758,0.00035900404],"about_ca_topic_score_codex":0.0000056003,"about_ca_topic_score_gemma":0.000021605654,"teacher_disagreement_score":0.7779993,"about_ca_system_score_codex":0.00011118242,"about_ca_system_score_gemma":0.00002894659,"threshold_uncertainty_score":0.2248306},"labels":[],"label_agreement":null},{"id":"W2991147080","doi":"10.1088/1361-6501/ab5b4e","title":"Characterization and development of an electrical conductivity flow cell for the axial continuous phase fraction profiling of bulk multiphase flow","year":2019,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","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":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Profiling (computer programming); Multiphase flow; Two-phase flow; Flow (mathematics); Mechanics; Characterization (materials science); Conductivity; Phase (matter); Computer science; Nanotechnology; Physics","score_opus":0.02822913188144233,"score_gpt":0.2745805929345843,"score_spread":0.24635146105314198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991147080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9062605,0.000012726662,0.092903174,0.00009573478,0.00003775963,0.00062524783,0.000004135722,0.000027110524,0.000033606324],"genre_scores_gemma":[0.9695244,0.000007048675,0.030375889,0.000019900446,0.000004408292,0.000047805424,0.000005113585,0.000003000558,0.000012454095],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989963,0.000016736189,0.00020540998,0.00023110014,0.00042491473,0.00012554778],"domain_scores_gemma":[0.9995137,0.000017936452,0.00014336206,0.00012449537,0.00017139436,0.000029105864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013011241,0.000069620466,0.00012027282,0.00010511431,0.0001649144,0.000013866778,0.00011769123,0.000040837887,0.000029603038],"category_scores_gemma":[0.00013106302,0.000051731953,0.000008113297,0.00031285212,0.00033961577,0.0002657805,0.00003769586,0.000054457723,0.0000015306836],"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":[0.000027764407,0.00012570014,0.0015512385,0.0000070445,0.0000016356443,6.015998e-8,0.00010888993,0.000014518105,0.8829476,0.0000512832,0.000004176936,0.11516006],"study_design_scores_gemma":[0.0006150899,0.00028407393,0.0012327422,0.0000036996876,0.000004853221,0.0000019966371,0.00009669197,0.08853364,0.908508,0.000060549388,0.00059923896,0.00005944164],"about_ca_topic_score_codex":0.0000064694677,"about_ca_topic_score_gemma":0.0000102220565,"teacher_disagreement_score":0.11510062,"about_ca_system_score_codex":0.00006889642,"about_ca_system_score_gemma":0.00006716917,"threshold_uncertainty_score":0.21095678},"labels":[],"label_agreement":null},{"id":"W2995968289","doi":"10.1088/1361-6501/ab64ad","title":"Comparison of momentum and impulse formulations for PIV-based force estimation","year":2019,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","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":"University of Calgary; University of Waterloo","funders":"","keywords":"Freestream; Mechanics; Particle image velocimetry; Reynolds number; Vorticity; Impulse (physics); Physics; Control volume; Drag; Wake; Mathematics; Classical mechanics; Vortex; Turbulence","score_opus":0.018302022296867337,"score_gpt":0.26976242797193783,"score_spread":0.2514604056750705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995968289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5664679,0.0001120526,0.43242148,0.0003982901,0.00004984639,0.00025534286,0.0000032323749,0.00006862101,0.00022328767],"genre_scores_gemma":[0.9946378,0.0000035260362,0.005325038,0.000006362407,0.0000013019582,0.000014702137,0.0000015214948,0.0000031223756,0.000006653406],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994381,0.0000014911848,0.00013092732,0.000103228514,0.00022663719,0.00009958454],"domain_scores_gemma":[0.9996037,0.000008645277,0.000028063054,0.00010356472,0.0002364628,0.000019551839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038095057,0.000047599882,0.00010053152,0.0003199047,0.00006936386,0.000016881675,0.00006391292,0.000033453794,0.0000036897075],"category_scores_gemma":[0.00006673752,0.000044488832,0.000009908982,0.00042859613,0.000091993286,0.000102372374,0.000012306985,0.000026833324,7.6193925e-7],"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":[0.000007628953,0.000050417504,0.032157388,0.00016709983,0.000026337637,3.6345885e-8,0.000099935474,0.09630175,0.76097625,0.062027965,0.00009769282,0.048087507],"study_design_scores_gemma":[0.0002037842,0.000064855434,0.00120554,0.000008982575,0.000010360926,1.3571925e-7,0.00005034519,0.95165884,0.045270104,0.0013993577,0.00008143117,0.000046272904],"about_ca_topic_score_codex":0.0000016840157,"about_ca_topic_score_gemma":0.000013456865,"teacher_disagreement_score":0.8553571,"about_ca_system_score_codex":0.000049160426,"about_ca_system_score_gemma":0.000029978788,"threshold_uncertainty_score":0.18142019},"labels":[],"label_agreement":null},{"id":"W2997278206","doi":"10.1088/1361-6501/ab6761","title":"Echo-Lagrangian particle tracking: an ultrasound-based method for extracting path-dependent flow quantities","year":2020,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pulsatile flow; Reynolds number; Velocimetry; Particle image velocimetry; Mechanics; Flow (mathematics); Particle tracking velocimetry; Acoustics; Amplitude; Particle displacement; Tracking (education); Ultrasound; Path length; Physics; Optics; Turbulence","score_opus":0.06429141701328618,"score_gpt":0.27087757839362986,"score_spread":0.2065861613803437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997278206","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35724527,0.0009817719,0.63537496,0.0036555359,0.00028048945,0.0006030511,0.000012574879,0.0014180368,0.000428318],"genre_scores_gemma":[0.9794406,0.000015148347,0.020277753,0.00013808992,0.000052690626,0.00005094689,0.0000016773382,0.000020271436,0.0000027958315],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99781585,0.000025272484,0.00026653803,0.0004355422,0.0009618083,0.00049499195],"domain_scores_gemma":[0.9989652,0.000041122123,0.000048616548,0.00023832153,0.00054716034,0.00015956718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026815024,0.00018482516,0.00023580312,0.00022932807,0.00035700353,0.00015682766,0.00036429192,0.00009484796,0.000018524148],"category_scores_gemma":[0.00095406733,0.00017467268,0.00005010278,0.0010583412,0.00019102274,0.0004115508,0.000019859628,0.0001646706,0.0000059355607],"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":[0.000009999946,0.0000412833,0.0037292163,0.00006064283,0.000028552648,0.000002549056,0.00027563487,0.0029955846,0.955171,0.0005466665,0.00006819892,0.0370707],"study_design_scores_gemma":[0.0004965725,0.00017773898,0.00031326964,0.000023695358,0.000068388894,0.0000028547038,0.0013153183,0.46074778,0.53530586,0.00030075476,0.000989392,0.00025836902],"about_ca_topic_score_codex":0.0000094164,"about_ca_topic_score_gemma":0.00006947456,"teacher_disagreement_score":0.62219536,"about_ca_system_score_codex":0.0001287935,"about_ca_system_score_gemma":0.0001001609,"threshold_uncertainty_score":0.7122945},"labels":[],"label_agreement":null},{"id":"W2998354327","doi":"10.1088/1361-6501/ab6674","title":"Non-damping system reset algorithm for shipborne grid strap-down inertial navigation systems","year":2019,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Inertial Sensor and Navigation","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":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Reset (finance); Inertial frame of reference; Grid; Computer science; Control theory (sociology); Inertial navigation system; Aerospace engineering; Physics; Engineering; Geodesy; Geology; Classical mechanics; Artificial intelligence; Control (management)","score_opus":0.013645535469818611,"score_gpt":0.21805117774893656,"score_spread":0.20440564227911795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998354327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9535899,0.00039688003,0.03938158,0.00019401421,0.0030240528,0.0015113819,0.00002226099,0.00074565574,0.0011342727],"genre_scores_gemma":[0.99912345,0.0000063299913,0.00060855947,0.000004857073,0.0001450062,0.00008136934,0.000008438001,0.000013677276,0.000008325223],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984136,0.000007632177,0.00024846676,0.00029143374,0.0006753258,0.0003635206],"domain_scores_gemma":[0.999041,0.000009998617,0.000049702263,0.00022018346,0.00062762905,0.00005145458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013949701,0.000131367,0.000180904,0.0003225237,0.00018645517,0.0000741474,0.00021560327,0.00013670548,0.0000012549868],"category_scores_gemma":[0.0000493564,0.0001199301,0.000019279913,0.0008104226,0.00012974699,0.000244786,0.000028363153,0.00013228452,0.000016913067],"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":[0.000008428361,0.000015514202,0.0008809294,0.0004024468,0.000021378755,0.0000023916666,0.0000759428,0.0014641314,0.9536636,0.0040210136,0.0002977446,0.0391465],"study_design_scores_gemma":[0.000939478,0.00024819613,0.0007485138,0.0004687829,0.00002589902,0.00003406213,0.00078218576,0.6993855,0.2946171,0.00013478629,0.0022619278,0.00035356515],"about_ca_topic_score_codex":0.000035676625,"about_ca_topic_score_gemma":0.000004389076,"teacher_disagreement_score":0.6979214,"about_ca_system_score_codex":0.00037993022,"about_ca_system_score_gemma":0.00005633589,"threshold_uncertainty_score":0.48906073},"labels":[],"label_agreement":null},{"id":"W2999371779","doi":"10.1088/1361-6501/ab6917","title":"Accurate foot clearance estimation during level and uneven ground walking using inertial sensors","year":2020,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Diabetic Foot Ulcer Assessment and Management","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Inertial measurement unit; Foot (prosody); Inertial frame of reference; Geodesy; Ground reaction force; Computer science; Estimation; Acoustics; Geology; Physics; Artificial intelligence; Kinematics; Engineering; Art; Classical mechanics","score_opus":0.08870990898681226,"score_gpt":0.3005072289838717,"score_spread":0.21179731999705947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999371779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884341,0.00013537167,0.002235948,0.008329007,0.00006866617,0.00032102602,4.5192922e-7,0.00010810044,0.00036736453],"genre_scores_gemma":[0.9966867,0.0000240922,0.0030403,0.00019049464,0.000028632636,0.0000083101095,3.3557006e-7,0.000007915188,0.000013223841],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984432,0.000010682685,0.00017603688,0.00037424633,0.00071303133,0.00028282113],"domain_scores_gemma":[0.9994481,0.000004651444,0.00006831795,0.00013501286,0.00024834817,0.000095578274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067241176,0.00011608424,0.00017744323,0.00025601295,0.00025216598,0.00006482863,0.00009545236,0.00005060071,0.000004506359],"category_scores_gemma":[0.0003612013,0.00010413957,0.000012055599,0.0007859962,0.00041138168,0.00019429807,0.00016779135,0.00012137908,0.0000024999185],"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":[0.00013866827,0.00009817871,0.01915082,0.00043627698,0.000081735256,0.000049249695,0.00062259,0.00017973404,0.86771095,0.004233301,0.000053060758,0.107245415],"study_design_scores_gemma":[0.007010507,0.0014312488,0.55101943,0.00075551134,0.00046999726,0.00015280551,0.0031517532,0.22204103,0.20897074,0.0016757975,0.0023509578,0.00097020954],"about_ca_topic_score_codex":0.00001464099,"about_ca_topic_score_gemma":0.000006808091,"teacher_disagreement_score":0.6587402,"about_ca_system_score_codex":0.00013684125,"about_ca_system_score_gemma":0.0001057294,"threshold_uncertainty_score":0.42466885},"labels":[],"label_agreement":null},{"id":"W3005007700","doi":"10.1088/1361-6501/ab7282","title":"A novel transformer-based neural network model for tool wear estimation","year":2020,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Transformer; Artificial neural network; Feature (linguistics); Data mining; Raw data; Artificial intelligence; Engineering; Voltage","score_opus":0.03784379806808408,"score_gpt":0.23781849481379702,"score_spread":0.19997469674571294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005007700","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004170294,0.0001098387,0.9930912,0.0020104768,0.000042656975,0.00020623498,0.0000020176506,0.00030985268,0.000057431782],"genre_scores_gemma":[0.8768999,0.000007771831,0.12288347,0.0001482056,0.000011358763,0.000040041854,0.000001009039,0.0000075322446,6.872258e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930584,6.974987e-7,0.00009997507,0.00015772918,0.00023986917,0.00019586615],"domain_scores_gemma":[0.9997156,0.0000045084676,0.000016512278,0.000058785903,0.0001723879,0.000032191212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024486336,0.00007236302,0.000076662065,0.00006507328,0.00014431981,0.000022780967,0.00011074864,0.00004150099,7.2848644e-7],"category_scores_gemma":[0.00014930792,0.00006874773,0.000009471863,0.0005361311,0.00009265754,0.00017383235,0.0000062392637,0.00006200794,4.177153e-7],"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":[0.000005371501,0.0000041722,0.00001601642,0.00003570942,0.0000014738548,4.3542908e-8,0.00003609576,0.94634205,0.026302176,0.0012569091,0.000026581605,0.025973393],"study_design_scores_gemma":[0.0003082276,0.00006222842,0.0000071235636,0.000010534198,0.0000072488647,5.781924e-7,0.000013041937,0.9906559,0.0077783754,0.000888984,0.00018431254,0.000083462306],"about_ca_topic_score_codex":2.638715e-7,"about_ca_topic_score_gemma":0.0000024760695,"teacher_disagreement_score":0.8727296,"about_ca_system_score_codex":0.000041929437,"about_ca_system_score_gemma":0.000063028936,"threshold_uncertainty_score":0.2803451},"labels":[],"label_agreement":null},{"id":"W3006421862","doi":"10.1088/1361-6501/ab7611","title":"Packaging and precision testing of fiber-Bragg-grating and silicon ring-resonator thermometers: current status and challenges","year":2020,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Fiber Bragg grating; Materials science; Current (fluid); Resonator; Optics; Optoelectronics; Silicon; Optical fiber; Physics; Electrical engineering; Engineering","score_opus":0.06993020650745636,"score_gpt":0.24525366274002022,"score_spread":0.17532345623256385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006421862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95615715,0.04256186,0.000053520613,0.00053041906,0.00002994323,0.00012015525,0.0000015949825,0.00010341301,0.0004419262],"genre_scores_gemma":[0.99613607,0.0031648136,0.000669273,0.000010178946,0.0000069743473,0.0000063778994,6.2739765e-8,0.000006077471,1.9339221e-7],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99900955,0.000008474126,0.00014732043,0.00027640891,0.00031745314,0.00024076838],"domain_scores_gemma":[0.9996026,0.000058286598,0.000035316236,0.00008353691,0.00011605045,0.00010417841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056197477,0.00010703044,0.00016049345,0.00013858013,0.000101416896,0.000037103542,0.0000866361,0.00004499206,0.0000013508729],"category_scores_gemma":[0.00069989247,0.00008903863,0.000005142319,0.00034095588,0.00039851596,0.0001592578,0.00014446872,0.00012319558,2.9099124e-7],"study_design_candidate":"design_other","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":[0.000002810177,0.000008675882,0.0074979123,0.00032253272,0.000008287665,0.0000010011191,0.00046950107,0.000006662449,0.19732052,0.0010010286,0.0000015710618,0.7933595],"study_design_scores_gemma":[0.0026965395,0.0017201309,0.16349673,0.0022017648,0.00013155467,0.00004799327,0.0064435895,0.3237179,0.48262873,0.00593891,0.009628257,0.001347919],"about_ca_topic_score_codex":0.000003756302,"about_ca_topic_score_gemma":0.0000063883144,"teacher_disagreement_score":0.79201156,"about_ca_system_score_codex":0.000024542334,"about_ca_system_score_gemma":0.000024147583,"threshold_uncertainty_score":0.363089},"labels":[],"label_agreement":null},{"id":"W3023102756","doi":"10.1088/1361-6501/ab8dfc","title":"A smart sensor-based monitoring system for vibration measurement and bearing fault detection","year":2020,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Bearing (navigation); Vibration; Fault (geology); Fault detection and isolation; Acoustics; Computer science; Physics; Artificial intelligence; Geology; Actuator; Seismology","score_opus":0.037735397804247645,"score_gpt":0.2481248779661043,"score_spread":0.21038948016185666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023102756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64226794,0.00080507225,0.34824687,0.0027235958,0.0003977117,0.0015624481,0.0000037425464,0.0036808713,0.00031175086],"genre_scores_gemma":[0.99533385,0.000014714844,0.004313954,0.000027556483,0.000042500626,0.00025083998,2.0330927e-7,0.000016191769,1.6206687e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983854,0.000010594385,0.00019885147,0.00034108397,0.00079141377,0.00027260566],"domain_scores_gemma":[0.99913895,0.0000114386285,0.000040393486,0.00014987045,0.00057251763,0.00008680144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013595134,0.00014802076,0.00016042993,0.00030652006,0.00025248324,0.0000824758,0.00014758461,0.000096026895,3.604338e-7],"category_scores_gemma":[0.0005658446,0.00014801657,0.000016260563,0.00061137526,0.00012421422,0.0001797693,0.000041133862,0.00012879127,0.0000010764693],"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":[0.000005966259,0.000008419864,0.0040549063,0.00023369977,0.0000094046245,8.06977e-7,0.0000427064,0.00020285079,0.9621213,0.000140803,0.000023081742,0.03315603],"study_design_scores_gemma":[0.0003061177,0.00016397673,0.0012226712,0.00010763229,0.000018753804,0.000003494877,0.00020763595,0.08343631,0.91342723,0.000040252136,0.0009126503,0.00015328231],"about_ca_topic_score_codex":0.000012939707,"about_ca_topic_score_gemma":0.000013209771,"teacher_disagreement_score":0.35306594,"about_ca_system_score_codex":0.00043289387,"about_ca_system_score_gemma":0.000049665865,"threshold_uncertainty_score":0.60359406},"labels":[],"label_agreement":null},{"id":"W3027951168","doi":"10.1088/1361-6501/ab955b","title":"Determination and analysis of front-end and correlator-spacing-induced biases for code and carrier phase observations","year":2020,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"GNSS positioning and interference","field":"Engineering","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":"University of Calgary","funders":"","keywords":"Front and back ends; Phase (matter); Code (set theory); Computer science; Optics; Physics; Programming language","score_opus":0.10757894602138393,"score_gpt":0.28468942545031534,"score_spread":0.1771104794289314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027951168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99075943,0.00035974436,0.008162174,0.00045226252,0.000026540863,0.000107170374,0.000032343894,0.000054823227,0.00004551068],"genre_scores_gemma":[0.9992658,0.0000369483,0.0006487107,0.000023787792,0.0000029310697,0.00001580517,0.0000023358991,0.0000026216157,0.0000010757861],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994414,0.0000042917823,0.000114840885,0.00017758242,0.00015812887,0.00010374363],"domain_scores_gemma":[0.99959886,0.000023894605,0.00003096595,0.00006751156,0.00022827378,0.000050491693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026079503,0.00006505363,0.00013665196,0.00025867438,0.00013014484,0.000029599543,0.00005182269,0.000046358706,0.0000012686586],"category_scores_gemma":[0.0004694896,0.00006229602,0.000008155083,0.00048747103,0.0002563087,0.00013649931,0.000024646644,0.00004868472,6.6920684e-8],"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":[0.000010085755,0.000023077286,0.02918831,0.0000659138,0.00009608316,5.026372e-7,0.0010360979,0.00012260678,0.93611944,0.0010482034,0.000082005405,0.032207698],"study_design_scores_gemma":[0.0008758424,0.00055129017,0.024602182,0.00007027318,0.0004040237,0.000004992275,0.0007492689,0.7879351,0.18414813,0.00026466596,0.0002009983,0.00019323772],"about_ca_topic_score_codex":0.000008611584,"about_ca_topic_score_gemma":0.00004616726,"teacher_disagreement_score":0.7878125,"about_ca_system_score_codex":0.000022419943,"about_ca_system_score_gemma":0.000020815785,"threshold_uncertainty_score":0.2540358},"labels":[],"label_agreement":null},{"id":"W3028147692","doi":"10.1088/1361-6501/ab9459","title":"Study of the shielding effect of a vertical moving shutter micromachined field mill for measuring dc electric field","year":2020,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Manitoba Hydro; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Manitoba Hydro; CMC Microsystems","keywords":"Shutter; Electromagnetic shielding; Electric field; Mill; Field (mathematics); Materials science; Acoustics; Optics; Electrical engineering; Mechanics; Mechanical engineering; Physics; Composite material; Engineering; Mathematics","score_opus":0.018764057035122867,"score_gpt":0.22629158878116754,"score_spread":0.20752753174604466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028147692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99533117,0.00013744744,0.00212055,0.0013948434,0.000058121183,0.0005786629,1.5351566e-7,0.00011824258,0.00026083388],"genre_scores_gemma":[0.99955523,0.0000046177993,0.00030374466,0.00008501878,0.00000971816,0.000034767618,1.0944771e-8,0.000006304497,5.6390513e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989602,0.000020575366,0.00020640256,0.00018689001,0.0004209743,0.0002049717],"domain_scores_gemma":[0.99947065,0.00012195688,0.000026084947,0.00021255399,0.00014046713,0.000028299428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007978381,0.00009850064,0.0001967845,0.00015845402,0.00007505571,0.000009664352,0.0003764012,0.00008557668,0.0000037602997],"category_scores_gemma":[0.002148122,0.00007119755,0.000028489176,0.00066931336,0.000050316976,0.000039374714,0.00009836488,0.00017603138,1.3115861e-7],"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":[0.000017442133,0.000016442627,0.008154777,0.000102181984,0.000011845678,5.5105875e-7,0.00025094923,0.000010371871,0.984578,0.00007751313,0.00010169729,0.0066782134],"study_design_scores_gemma":[0.00030415712,0.0015755959,0.00086354837,0.000034752677,0.000026977314,0.0000017448882,0.000079693426,0.003180078,0.99374986,0.00008306699,0.000030483463,0.00007002277],"about_ca_topic_score_codex":0.000019557123,"about_ca_topic_score_gemma":0.000017857346,"teacher_disagreement_score":0.009171864,"about_ca_system_score_codex":0.000029364139,"about_ca_system_score_gemma":0.000022569875,"threshold_uncertainty_score":0.2903352},"labels":[],"label_agreement":null},{"id":"W3036138182","doi":"10.1088/1361-6501/abb550","title":"Quantifying the spatial resolution of the maximum a posteriori estimate in linear, rank-deficient, Bayesian hard field tomography","year":2020,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":20,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Image resolution; Tomography; Spatial analysis; Covariance; Context (archaeology); Computer science; Measure (data warehouse); Rank (graph theory); Spatial contextual awareness; Bayesian probability; Tomographic reconstruction; Resolution (logic); Iterative reconstruction; Mathematics; Artificial intelligence; Statistics; Data mining; Physics; Geography; Optics","score_opus":0.06709995189461229,"score_gpt":0.31891106903701355,"score_spread":0.25181111714240123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036138182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5187207,0.00029594178,0.04441849,0.43458122,0.00012996174,0.001082353,0.0000024391009,0.00016871415,0.00060021516],"genre_scores_gemma":[0.99565685,0.000026178923,0.0032521433,0.001017135,0.000012529524,0.000030126854,2.1112697e-7,0.0000032617893,0.0000015621347],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987559,0.0000160305,0.00019712295,0.00022442557,0.000620802,0.00018576311],"domain_scores_gemma":[0.99935246,0.000013982624,0.00006964115,0.00029355608,0.00022268087,0.00004769366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001051745,0.000067218854,0.00012755454,0.000147275,0.00016559545,0.00001121713,0.0002964623,0.000055587952,0.000005373406],"category_scores_gemma":[0.0009986196,0.000037836035,0.00002732683,0.0015277747,0.0007369575,0.000031884105,0.00014246853,0.00022893878,8.9777046e-7],"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":[0.00006479132,0.00015675115,0.12465394,0.00011356947,0.000009983089,0.000005008216,0.00032348643,0.0000035512471,0.8189031,0.003976227,0.00120454,0.050585076],"study_design_scores_gemma":[0.0031356097,0.0015434371,0.115682945,0.0012856502,0.00018273684,0.000111173016,0.0011124966,0.1199581,0.7275691,0.0049344846,0.024046354,0.00043789504],"about_ca_topic_score_codex":0.00010767206,"about_ca_topic_score_gemma":0.00004810002,"teacher_disagreement_score":0.47693616,"about_ca_system_score_codex":0.000030359954,"about_ca_system_score_gemma":0.00013257813,"threshold_uncertainty_score":0.27153504},"labels":[],"label_agreement":null},{"id":"W3048395070","doi":"10.1088/1361-6501/abae8f","title":"Robust image segmentation for feature extraction from internal combustion engine in-cylinder images","year":2020,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","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","keywords":"Combustion; Segmentation; Computer science; Feature (linguistics); Artificial intelligence; Thresholding; Ignition system; Cylinder; Pattern recognition (psychology); Computer vision; Physics; Mathematics; Image (mathematics); Chemistry; Geometry","score_opus":0.04351247727801705,"score_gpt":0.28303634144502465,"score_spread":0.2395238641670076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048395070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86852586,0.001191965,0.11276816,0.015577616,0.000119300785,0.00024834328,0.00003353197,0.00024172013,0.0012935292],"genre_scores_gemma":[0.994898,0.0000412706,0.004879026,0.00007292207,0.00005024109,0.000023789411,0.0000094217485,0.0000055527717,0.000019731071],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989257,0.0000031986472,0.00013265974,0.00033933544,0.00041194525,0.00018716863],"domain_scores_gemma":[0.9994525,0.000016626958,0.0000769298,0.000097671305,0.00031148526,0.00004480164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028720777,0.00009709383,0.00013169699,0.000246128,0.00010807871,0.00005177362,0.00017844164,0.00009990919,0.000066131746],"category_scores_gemma":[0.0005422899,0.00009051854,0.000018029103,0.00089366315,0.00019964419,0.00024939032,0.00003884479,0.00018800236,0.0000027799283],"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":[0.00002144538,0.000035087098,0.0068886364,0.000017932154,0.000011535924,0.0000017027368,0.00003457946,0.000018858007,0.98582584,0.00003812814,0.00032375182,0.006782521],"study_design_scores_gemma":[0.00056518475,0.00005321651,0.0017689917,0.0000129216405,0.00004001978,0.0000022655688,0.0008756865,0.0021527242,0.9939708,0.0003098428,0.00015260142,0.000095733754],"about_ca_topic_score_codex":0.000030234285,"about_ca_topic_score_gemma":0.000016786915,"teacher_disagreement_score":0.1263722,"about_ca_system_score_codex":0.00021587801,"about_ca_system_score_gemma":0.00005889033,"threshold_uncertainty_score":0.36912388},"labels":[],"label_agreement":null},{"id":"W3088830863","doi":"10.1088/1361-6501/abba4b","title":"Measuring count rates free from correlated noise in digital silicon photomultipliers","year":2020,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; CMC Microsystems","keywords":"Silicon photomultiplier; Computer science; Noise (video); Physics; Photon counting; Electronic engineering; Photomultiplier; Crosstalk; Optics; Photon; Detector; Artificial intelligence; Engineering","score_opus":0.03039348339097888,"score_gpt":0.21693900020257167,"score_spread":0.1865455168115928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088830863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99530464,0.00012143468,0.00020062577,0.0027176808,0.000097574986,0.00019199157,0.000012067163,0.0002501746,0.0011037858],"genre_scores_gemma":[0.99982214,0.00000546084,0.000059138925,0.0000633733,0.000017679891,0.000021231499,5.494535e-7,0.0000060906696,0.0000043307296],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99853134,0.0000054200073,0.0002099216,0.00041363665,0.00057478616,0.0002649105],"domain_scores_gemma":[0.99929035,0.000013549029,0.00007877351,0.00024168286,0.0002992834,0.00007638404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032137422,0.00012860954,0.00016792196,0.00031107903,0.00016609942,0.00012036575,0.00041664182,0.00007412202,0.0000390694],"category_scores_gemma":[0.00053065096,0.00011848312,0.000019883864,0.0013845928,0.00047342683,0.00031406124,0.00014572071,0.00022771808,0.000027653963],"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":[0.000023395884,0.00006678496,0.7064478,0.0000045698703,0.00002926992,0.000003421055,0.00033737696,0.000150455,0.21682742,0.0023237786,0.00042555758,0.07336022],"study_design_scores_gemma":[0.0048318338,0.00032576002,0.08856335,0.00011298647,0.00003112462,0.0000024378157,0.011193472,0.05810951,0.80569464,0.0199799,0.010094209,0.0010607558],"about_ca_topic_score_codex":0.00007924755,"about_ca_topic_score_gemma":0.000016107264,"teacher_disagreement_score":0.6178844,"about_ca_system_score_codex":0.00011773445,"about_ca_system_score_gemma":0.00012305845,"threshold_uncertainty_score":0.48316014},"labels":[],"label_agreement":null},{"id":"W3092643907","doi":"10.1088/1361-6501/aba884","title":"Combining GNSS and accelerometer measurements for evaluation of dynamic and semi-static characteristics of bridge structures","year":2020,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":13,"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 Calgary","funders":"","keywords":"GNSS applications; Accelerometer; Computer science; Noise (video); Kinematics; Structural health monitoring; Acoustics; Global Positioning System; Structural engineering; Engineering; Artificial intelligence; Telecommunications; Physics","score_opus":0.1320113043261274,"score_gpt":0.338596209219924,"score_spread":0.2065849048937966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092643907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979267,0.00031801415,0.0008864243,0.00022668841,0.00008965423,0.00044419995,0.0000105943955,0.00008639575,0.000011312279],"genre_scores_gemma":[0.9972392,0.00005749537,0.002648061,0.0000117676,0.0000052354426,0.000029026762,9.3632366e-7,0.000008256261,6.4378895e-8],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99866766,0.000012872868,0.000247815,0.0001931327,0.0007064192,0.00017212826],"domain_scores_gemma":[0.9989859,0.000016761574,0.00008973743,0.00011016531,0.0007462503,0.00005119936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013017948,0.000098991106,0.00020621915,0.0002139262,0.00006840658,0.000013449308,0.00013228391,0.00006226885,0.0000010976722],"category_scores_gemma":[0.0006860521,0.00009279167,0.0000072919065,0.00033831628,0.0003161377,0.00009882121,0.000055612192,0.00007522794,3.2564365e-8],"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":[0.000015049292,0.000006204732,0.02085414,0.00075696805,0.00002640361,1.409435e-7,0.00043357775,0.000008098236,0.65981454,0.00024518292,0.000019329102,0.31782037],"study_design_scores_gemma":[0.0011040535,0.00040226706,0.6605898,0.0001730921,0.00010266893,0.000006425107,0.00014858857,0.058346268,0.2725708,0.0063083796,0.000030055531,0.00021756711],"about_ca_topic_score_codex":0.0000055042333,"about_ca_topic_score_gemma":0.0000024053306,"teacher_disagreement_score":0.6397357,"about_ca_system_score_codex":0.00009927018,"about_ca_system_score_gemma":0.000060821927,"threshold_uncertainty_score":0.37839344},"labels":[],"label_agreement":null},{"id":"W3096033965","doi":"10.1088/1361-6501/abc6e1","title":"LiDAR point’s elliptical error model and laser positioning for autonomous vehicles","year":2020,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Robotics and Sensor-Based Localization","field":"Engineering","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":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Ellipse; Laser; Point cloud; Computer science; Laser scanning; Lidar; Position (finance); Ellipsoid; Orientation (vector space); Computer vision; Point (geometry); Artificial intelligence; Laser tracker; Optics; Mathematics; Physics; Geodesy; Geometry; Geology","score_opus":0.03522958500397346,"score_gpt":0.2227916327171514,"score_spread":0.18756204771317794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096033965","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4265878,0.00036818004,0.5567728,0.014264414,0.00008697949,0.0003988951,0.0000056193758,0.0005539392,0.0009613564],"genre_scores_gemma":[0.99314374,0.000014560652,0.0066138553,0.00019090141,0.00001349597,0.000011226332,5.075229e-7,0.000008029872,0.0000036776812],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992992,0.0000024352557,0.000102160564,0.00018599645,0.00022620602,0.00018395566],"domain_scores_gemma":[0.9996538,0.0000058644255,0.000011549695,0.00007030898,0.00018944456,0.00006898927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028027958,0.00007212288,0.00008757712,0.00010395544,0.0001745661,0.000044369757,0.00008087989,0.000059350423,0.0000018005107],"category_scores_gemma":[0.00013780955,0.000069333044,0.000008292022,0.00025996505,0.00020402115,0.00009617354,0.000025145855,0.000063748594,0.0000012605865],"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":[0.000021688722,0.000044139702,0.001084954,0.00017538118,0.000028439395,0.000005306692,0.00048471586,0.3009236,0.62143683,0.05502946,0.0016034215,0.019162077],"study_design_scores_gemma":[0.0001884205,0.00007801849,0.000068688656,0.000010376283,0.000009679313,0.000002300033,0.00007505657,0.95873106,0.038405847,0.0019887781,0.0003548378,0.0000869285],"about_ca_topic_score_codex":7.863053e-7,"about_ca_topic_score_gemma":0.0000026478249,"teacher_disagreement_score":0.65780747,"about_ca_system_score_codex":0.00005425197,"about_ca_system_score_gemma":0.000044222987,"threshold_uncertainty_score":0.28273195},"labels":[],"label_agreement":null},{"id":"W3116694074","doi":"10.1088/1361-6501/abac89","title":"Special Section on TEMPMEKO 2019: a feature on the XIV International Symposium on Temperature and Thermal Measurements in Industry and Science &amp; IV International Temperature Conference, Beijing (TEMPMEKO &amp; TEMPBEIJING 2019) and Metrology for Meteorology and Climate (MMC 2019)","year":2020,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Calibration and Measurement Techniques","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":"National Research Council Canada","funders":"","keywords":"Beijing; Section (typography); Ampere; Engineering physics; Physics; China; Political science; Computer science; Thermodynamics; Law; Current (fluid)","score_opus":0.03894697451482905,"score_gpt":0.25853461077849155,"score_spread":0.2195876362636625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116694074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9624707,0.00028216405,0.00006308323,0.03335261,0.0011837274,0.00091237214,0.0000396294,0.00021771321,0.001477991],"genre_scores_gemma":[0.99731165,0.00039818915,0.00037631535,0.001300057,0.00043880948,0.000095465024,0.000010165836,0.00002322935,0.000046111378],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99713045,0.00006771587,0.00033458357,0.00088242,0.0010707944,0.0005140328],"domain_scores_gemma":[0.99889237,0.00006776979,0.00012026615,0.0002415993,0.00051274325,0.00016526252],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002700799,0.0003616725,0.00033746715,0.0008464928,0.0005622305,0.00036415493,0.00043334658,0.00050704164,0.000014582007],"category_scores_gemma":[0.00074366585,0.0002823444,0.00002457443,0.0007478279,0.0010593612,0.00048502468,0.00021791038,0.00103875,0.0000018538987],"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":[0.00023590578,0.000058673624,0.015486678,0.000038495382,0.000056996585,0.0000022197737,0.00035081885,0.00006016948,0.9663896,0.0052712495,0.0091608,0.0028884013],"study_design_scores_gemma":[0.016941259,0.0046527614,0.14285833,0.0022630417,0.00035466166,0.00055525976,0.0033641641,0.012405855,0.56383455,0.002367005,0.24572429,0.004678808],"about_ca_topic_score_codex":0.0000065354566,"about_ca_topic_score_gemma":0.00018672041,"teacher_disagreement_score":0.40255502,"about_ca_system_score_codex":0.00023479298,"about_ca_system_score_gemma":0.00012866555,"threshold_uncertainty_score":0.99996287},"labels":[],"label_agreement":null},{"id":"W3151132237","doi":"10.1088/1361-6501/abf25c","title":"Light-scattering of tracer particles for liquid flow measurements","year":2021,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fluid Dynamics and Turbulent Flows","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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Optics; Light scattering; Particle (ecology); Scattering; TRACER; Multiangle light scattering; Particle size; Polystyrene; Dynamic light scattering; Tracking (education); Velocimetry; Intensity (physics); Composite material; Polymer; Physics; Nanotechnology; Chemistry; Nanoparticle","score_opus":0.028595324779099335,"score_gpt":0.222701845666691,"score_spread":0.19410652088759164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151132237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98786974,0.0022056566,0.0059389365,0.0020702458,0.00044036962,0.00026348262,0.0000046754135,0.00021592644,0.0009909695],"genre_scores_gemma":[0.99655896,0.00005184573,0.0032976866,0.000020580363,0.0000136807885,0.00004106727,3.8802747e-7,0.000010729581,0.0000050863805],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986993,0.0000046328364,0.00019859165,0.00022883232,0.00057109445,0.00029751268],"domain_scores_gemma":[0.9989549,0.000005462684,0.000023476165,0.00022814599,0.0007385718,0.00004942711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008838996,0.00010079604,0.00015251625,0.00019498501,0.00010339987,0.000024785902,0.00017575285,0.000060647446,0.0000072195094],"category_scores_gemma":[0.00020219122,0.00009643996,0.000025030085,0.0005997093,0.00014400722,0.000108049855,0.000052836553,0.00005939247,0.0000021235246],"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":[0.000004572756,0.000028407987,0.00045215967,0.00005584439,0.000018862442,0.0000010837095,0.000038459002,0.0007711472,0.9869238,0.0010670575,0.00009981775,0.01053876],"study_design_scores_gemma":[0.00032908347,0.00008932117,0.00022742954,0.000047461395,0.000017515322,0.0000061222913,0.000044683315,0.070460744,0.92540145,0.0006062615,0.002645393,0.00012452061],"about_ca_topic_score_codex":0.0000010508455,"about_ca_topic_score_gemma":0.000024952446,"teacher_disagreement_score":0.0696896,"about_ca_system_score_codex":0.000096199685,"about_ca_system_score_gemma":0.000092339214,"threshold_uncertainty_score":0.39327073},"labels":[],"label_agreement":null},{"id":"W3155429038","doi":"10.1088/1361-6501/abf804","title":"Inference of plasma parameters from fixed-bias multi-needle Langmuir probes (m-NLP)","year":2021,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":8,"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 Alberta","funders":"European Commission; Natural Sciences and Engineering Research Council of Canada; H2020 European Research Council; Norges Forskningsråd; Universitetet i Oslo; Compute Canada","keywords":"Langmuir probe; Radial basis function; Scaling; Computer science; Inference; Plasma; Data set; Parameter space; Algorithm; Artificial intelligence; Physics; Statistics; Mathematics; Plasma diagnostics; Artificial neural network; Nuclear physics","score_opus":0.03551079694191266,"score_gpt":0.24443244642423279,"score_spread":0.20892164948232012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155429038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908785,0.00015345648,0.005377378,0.00035812877,0.00013507741,0.00012922137,0.00001555406,0.00004576343,0.0029069115],"genre_scores_gemma":[0.99012727,0.000008748985,0.009704018,0.000021160737,0.00001255823,0.00001897668,0.0000047869917,0.0000055374257,0.00009697705],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987529,0.00001512202,0.00018998692,0.0003327742,0.00044780568,0.00026141945],"domain_scores_gemma":[0.99887264,0.00002585737,0.000095767195,0.00028551003,0.0006702601,0.000049979677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003397805,0.00011811258,0.00018718708,0.000064106964,0.00012472851,0.000038339145,0.00026443452,0.00005795188,0.00010241344],"category_scores_gemma":[0.000171421,0.000106048814,0.000027332133,0.0006582632,0.00050220353,0.00013942242,0.00016039053,0.0001244862,0.000011829154],"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":[0.000012476042,0.00059464923,0.43187645,0.00003291833,0.00010309435,0.0000082449205,0.0004520011,0.00009171682,0.26020524,0.059475996,0.00035459202,0.24679264],"study_design_scores_gemma":[0.0011448908,0.00018436144,0.013024177,0.00009821282,0.00005167674,0.0000020684388,0.0039164545,0.0069528045,0.955024,0.015184419,0.0040226257,0.00039432157],"about_ca_topic_score_codex":0.00042254114,"about_ca_topic_score_gemma":0.00024299286,"teacher_disagreement_score":0.69481874,"about_ca_system_score_codex":0.00003772683,"about_ca_system_score_gemma":0.00039038286,"threshold_uncertainty_score":0.4324545},"labels":[],"label_agreement":null},{"id":"W3157015579","doi":"10.1088/1361-6501/abf679","title":"Capturing both carrier and disperse phases in dense suspensions using harmonic ultrasound imaging velocimetry","year":2021,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Suspension (topology); Velocimetry; Particle image velocimetry; Phase (matter); Harmonic; Ultrasound; Mechanics; Phase velocity; Vortex; Particle (ecology); Acoustics; Optics; Physics; Turbulence","score_opus":0.018093400950272714,"score_gpt":0.22689012245519502,"score_spread":0.20879672150492232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157015579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912981,0.0077718375,0.00025871207,0.00025332137,0.00007382596,0.0000675754,0.0000011521073,0.00011291219,0.00016260079],"genre_scores_gemma":[0.99905074,0.0003348888,0.0005570989,0.000034107317,0.000009599097,0.000003877995,2.2344922e-7,0.000007009058,0.0000024473457],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988405,0.000008824344,0.0001305415,0.00028728947,0.0003527096,0.0003801114],"domain_scores_gemma":[0.99960786,0.000017335651,0.00001508044,0.00013747507,0.00015580963,0.00006643248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045555172,0.000111238136,0.00013421568,0.00047099232,0.00017967614,0.000052936513,0.000097747004,0.00004735574,0.00000581941],"category_scores_gemma":[0.00026244746,0.000101583224,0.000014221971,0.0019653249,0.00047482047,0.00015861157,0.000054160966,0.00017755965,3.964668e-7],"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":[0.0000010900573,0.00001654461,0.07173367,0.0000104127685,0.000006149485,0.000047110436,0.000049650072,0.000018181472,0.91863644,0.00016140513,0.000016843129,0.009302505],"study_design_scores_gemma":[0.0008238016,0.000040540333,0.03859754,0.00017056643,0.00004915427,0.00048154415,0.0015681301,0.014506031,0.94054645,0.0020309722,0.0006459145,0.000539357],"about_ca_topic_score_codex":0.000038807593,"about_ca_topic_score_gemma":0.00016625789,"teacher_disagreement_score":0.03313613,"about_ca_system_score_codex":0.00014850941,"about_ca_system_score_gemma":0.00010079816,"threshold_uncertainty_score":0.41424435},"labels":[],"label_agreement":null},{"id":"W3162763921","doi":"10.1088/1361-6501/ac0270","title":"Temperature compensated differential acoustic sensor for CO <sub>2</sub> sensing","year":2021,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Gas Sensing Nanomaterials and Sensors","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":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Acoustics; Materials science; Differential (mechanical device); Acoustic sensor; Environmental science; Physics; Thermodynamics","score_opus":0.016382885042592228,"score_gpt":0.2082150284796645,"score_spread":0.19183214343707228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162763921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967449,0.00012679894,0.0011400293,0.00045741242,0.00066013465,0.00020159488,0.0000072299454,0.0005963853,0.00006554841],"genre_scores_gemma":[0.99900424,0.000038039518,0.0008321893,0.00003809401,0.00005113682,0.000003233653,0.000002741524,0.000026063813,0.0000042613337],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99848896,0.00001531753,0.00020052996,0.00035044062,0.00049258996,0.00045215318],"domain_scores_gemma":[0.99874395,0.000018375413,0.000029932366,0.0002354833,0.0009014232,0.000070839684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004217633,0.0001748917,0.00025162092,0.00025075267,0.0003304057,0.00013379344,0.000101802194,0.00015810393,0.0000027635267],"category_scores_gemma":[0.00035612064,0.00016353151,0.000026237878,0.00061885157,0.00033904996,0.000070210255,0.000037594422,0.00012378683,0.0000070912156],"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":[0.0000042773895,0.000011490142,0.000035439098,0.000038950882,0.000015208276,0.000020420215,0.000024591558,0.00015665736,0.9965753,0.00008385044,0.0002545289,0.002779299],"study_design_scores_gemma":[0.00038314037,0.00003704955,0.00043100864,0.0000475867,0.000026204234,0.00010790393,0.00015190837,0.009924928,0.98818773,0.00012610437,0.00038699582,0.00018941933],"about_ca_topic_score_codex":0.0000010630419,"about_ca_topic_score_gemma":0.00002361268,"teacher_disagreement_score":0.00976827,"about_ca_system_score_codex":0.00013475986,"about_ca_system_score_gemma":0.00011031386,"threshold_uncertainty_score":0.6668622},"labels":[],"label_agreement":null},{"id":"W3166623342","doi":"10.1088/1361-6501/ac0742","title":"Design of thermal-anemometry-based probes for the simultaneous measurement of velocity and gas concentration in turbulent flows","year":2021,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fluid Dynamics and Turbulent Flows","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":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Turbulence; Mechanics; Thermal; Environmental science; Materials science; Physics; Optics; Meteorology","score_opus":0.022516814561023113,"score_gpt":0.21179391108856246,"score_spread":0.18927709652753935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166623342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9044513,0.0054317485,0.087174624,0.001619758,0.00013909352,0.0010696746,0.000004400279,0.000060718266,0.000048661892],"genre_scores_gemma":[0.99690586,0.00018219513,0.002840432,0.00001365621,0.0000041901253,0.000046338522,4.1294683e-7,0.0000062748977,6.5133963e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869025,0.00001744182,0.00024417613,0.00019888255,0.0006393408,0.00020991542],"domain_scores_gemma":[0.9988116,0.00006492884,0.00004604833,0.00018924972,0.0008634989,0.000024697498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018756675,0.00010152151,0.0001711385,0.00015323743,0.000074195596,0.000017023815,0.00015936793,0.00006442076,0.0000025434417],"category_scores_gemma":[0.00054245204,0.00007737991,0.000015291971,0.00065877446,0.00028964682,0.000046522535,0.000026565,0.00007762908,1.2163729e-7],"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":[0.000015902164,0.0000636412,0.0007195087,0.000124681,0.00002033086,0.0000026989244,0.00008322785,0.203144,0.7725217,0.0007194078,0.000008521103,0.022576403],"study_design_scores_gemma":[0.00039647598,0.00007788197,0.0003094692,0.00004928416,0.000011997919,0.0000022376205,0.000039982013,0.72050595,0.27821952,0.0002662168,0.00005738116,0.000063596504],"about_ca_topic_score_codex":0.000007940797,"about_ca_topic_score_gemma":0.000046054145,"teacher_disagreement_score":0.51736194,"about_ca_system_score_codex":0.00013776292,"about_ca_system_score_gemma":0.00021129269,"threshold_uncertainty_score":0.31554613},"labels":[],"label_agreement":null},{"id":"W3170628541","doi":"10.1088/1361-6501/abff81","title":"Method to minimize polymer degradation in drag-reduced non-Newtonian turbulent boundary layers","year":2021,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical 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":"","keywords":"Drag; Mechanics; Reynolds number; Newtonian fluid; Turbulence; Materials science; Rheology; Boundary layer; Non-Newtonian fluid; Particle (ecology); Drag coefficient; Viscoelasticity; Classical mechanics; Physics; Composite material; Geology","score_opus":0.017137140800196703,"score_gpt":0.2604198231107011,"score_spread":0.2432826823105044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170628541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5090521,0.0028103716,0.43466923,0.04899017,0.00040158202,0.0003766328,0.0000028065356,0.00024373204,0.0034533958],"genre_scores_gemma":[0.9587674,0.000042356074,0.04017895,0.00033323385,0.00001531721,0.000058919464,0.0000010910613,0.000009437024,0.0005933021],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99848604,0.000018516364,0.00020609592,0.00045177498,0.00044505822,0.00039250823],"domain_scores_gemma":[0.999247,0.000022027207,0.000029102994,0.00022646997,0.0004056261,0.00006978164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011222105,0.00012753018,0.00020281345,0.00043154202,0.00019619497,0.000024862336,0.00022453866,0.000120852616,0.000012905903],"category_scores_gemma":[0.000532168,0.0001224319,0.000018705983,0.0015030865,0.00030829335,0.00009732795,0.0001745078,0.00019478827,0.000011110586],"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":[0.000007664648,0.00003822714,0.0022695335,0.000008641455,0.000013273268,0.00001654003,0.00015042449,0.000059826798,0.9842935,0.0056923833,0.000071849165,0.007378132],"study_design_scores_gemma":[0.0005897016,0.000050117465,0.004407864,0.000063505955,0.000016953909,0.000044238437,0.000718758,0.041244578,0.9511025,0.0008374869,0.0006621451,0.00026212668],"about_ca_topic_score_codex":0.000034800236,"about_ca_topic_score_gemma":0.00008100408,"teacher_disagreement_score":0.44971532,"about_ca_system_score_codex":0.00026418982,"about_ca_system_score_gemma":0.0002575151,"threshold_uncertainty_score":0.49926278},"labels":[],"label_agreement":null},{"id":"W3172793040","doi":"10.1088/1361-6501/abfddf","title":"Improved scatter correction model for high attenuation gamma-ray tomography measurements","year":2021,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; Saskatchewan Research Council (Canada)","funders":"","keywords":"Attenuation; Radiation; Tomography; Scattering; Optics; Materials science; Detector; Intensity (physics); Slurry; Gamma ray; X-ray; Noise (video); Physics; Nuclear physics","score_opus":0.02558828977491378,"score_gpt":0.23076156973654907,"score_spread":0.20517327996163529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172793040","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1132612,0.00071146636,0.88222617,0.0012721797,0.0011364447,0.0004085546,0.0000035001808,0.0005394981,0.0004410011],"genre_scores_gemma":[0.99293995,0.000026572452,0.006744943,0.00009360532,0.000025741785,0.00011600276,0.0000022584543,0.000013739346,0.00003717738],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986064,0.0000057429347,0.00017128278,0.00033385897,0.0005337646,0.00034895467],"domain_scores_gemma":[0.9985859,0.000006426196,0.000035250097,0.00022598085,0.0010991833,0.000047270994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079740956,0.00013037342,0.0001288709,0.00033955256,0.00026959484,0.000048289265,0.00014906633,0.00007318173,0.000003562611],"category_scores_gemma":[0.00023018412,0.00013303719,0.000023434086,0.0009681237,0.00019357089,0.00032515082,0.000035307396,0.00011551639,0.0000021211076],"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":[0.0000048678253,0.000025150308,0.001461011,0.00002582727,0.000017054483,4.5843512e-7,0.000047601196,0.0046604103,0.9355426,0.00023476816,0.00032065526,0.05765959],"study_design_scores_gemma":[0.00055915996,0.000041886135,0.0008163439,0.000043085573,0.000029737295,0.000006763533,0.00015929123,0.40542617,0.5891548,0.0030300268,0.0005009335,0.00023184906],"about_ca_topic_score_codex":0.0000021646847,"about_ca_topic_score_gemma":0.000032046526,"teacher_disagreement_score":0.8796787,"about_ca_system_score_codex":0.00020331751,"about_ca_system_score_gemma":0.00009867366,"threshold_uncertainty_score":0.5425099},"labels":[],"label_agreement":null},{"id":"W3181115425","doi":"10.1088/1361-6501/ac1181","title":"Numerical method to predict vibration characteristics induced by cavitation in centrifugal pumps","year":2021,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":21,"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":"","keywords":"Centrifugal pump; Cavitation; Vibration; Mechanics; Materials science; Acoustics; Mechanical engineering; Physics; Engineering; Impeller","score_opus":0.019590265228628587,"score_gpt":0.24690898405593759,"score_spread":0.227318718827309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181115425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74569786,0.00017839471,0.24872708,0.0030170837,0.00051566126,0.0004081511,0.0000052241226,0.0002734947,0.0011770421],"genre_scores_gemma":[0.99781275,0.000007243181,0.0020584415,0.000060083214,0.00001437062,0.0000353664,0.0000021941644,0.000005590912,0.0000039745614],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988187,0.000028103515,0.0002078237,0.00020342856,0.00052230357,0.00021962296],"domain_scores_gemma":[0.99953365,0.000012766323,0.000022395923,0.0001337855,0.00023517582,0.000062246254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011361765,0.00007777315,0.00013926708,0.00022616472,0.0000595662,0.000038554354,0.00011172724,0.00008212424,0.0000062792597],"category_scores_gemma":[0.0005140276,0.000077282646,0.0000064171995,0.0012666086,0.000034603403,0.000112403264,0.000022891185,0.000101483485,0.000010107297],"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":[0.0000011751325,0.00002018485,0.0030607216,0.00002283302,0.0000041882085,0.0000035339742,0.00021620003,0.00015288134,0.9499078,0.00028331007,0.00017926845,0.046147924],"study_design_scores_gemma":[0.00066295295,0.00017431931,0.029872026,0.00017814015,0.000014831426,0.000046848676,0.0009496955,0.1119195,0.8459926,0.00043481367,0.009319959,0.0004342907],"about_ca_topic_score_codex":0.000017416349,"about_ca_topic_score_gemma":0.000013054462,"teacher_disagreement_score":0.25211486,"about_ca_system_score_codex":0.00020722825,"about_ca_system_score_gemma":0.000107003776,"threshold_uncertainty_score":0.3151495},"labels":[],"label_agreement":null},{"id":"W3193813492","doi":"10.1088/1361-6501/ac0b6d","title":"A combined algorithm for denoising GNSS-RTK positioning solutions with application to displacement monitoring of a super-high-rise building","year":2021,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":12,"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 Calgary","funders":"","keywords":"GNSS applications; Displacement (psychology); Computer science; Algorithm; Noise reduction; Geodesy; Global Positioning System; Real-time computing; Telecommunications; Artificial intelligence; Geology","score_opus":0.020924679963691267,"score_gpt":0.2751147286375719,"score_spread":0.2541900486738806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193813492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.626655,0.00024265284,0.37181032,0.00039204597,0.00014643303,0.00044614068,0.000004189567,0.0002911391,0.000012076248],"genre_scores_gemma":[0.8174037,0.000017581653,0.18227616,0.0000044917697,0.000029088933,0.0002556656,8.0855824e-7,0.000011549652,9.694063e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99859387,0.000006919173,0.000209033,0.00028969953,0.0005258365,0.0003746623],"domain_scores_gemma":[0.99870294,0.000017963896,0.000039284012,0.00024554323,0.00092003937,0.00007421705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067629095,0.00011752502,0.00016253952,0.00035806542,0.0003765171,0.000035746394,0.00017894569,0.00006312762,5.5464125e-7],"category_scores_gemma":[0.00010761887,0.00011538911,0.0000121070525,0.0011903842,0.00014805286,0.00014069355,0.00008133534,0.000098490695,2.8404253e-7],"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":[0.000007626782,0.0000207173,0.003502471,0.00008725114,0.000016402846,0.0000012442555,0.00009759072,0.0004527211,0.8344746,0.0034867746,0.000013929645,0.15783864],"study_design_scores_gemma":[0.00035805168,0.00025449196,0.0062620514,0.00028846532,0.000024999097,0.0000135157225,0.0003313143,0.008430348,0.9822122,0.0015160457,0.0001333463,0.00017516222],"about_ca_topic_score_codex":0.000033309396,"about_ca_topic_score_gemma":0.000009874822,"teacher_disagreement_score":0.19074869,"about_ca_system_score_codex":0.0005258413,"about_ca_system_score_gemma":0.000117871125,"threshold_uncertainty_score":0.47054318},"labels":[],"label_agreement":null},{"id":"W3197151326","doi":"10.1088/1361-6501/ac2317","title":"Dynamic simulation of a cylindrical roller bearing with a local defect by combining finite element and lumped parameter models","year":2021,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Gear and Bearing Dynamics Analysis","field":"Engineering","cited_by":29,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Finite element method; Bearing (navigation); Computer science; Mechanics; Materials science; Structural engineering; Physics; Engineering; Artificial intelligence","score_opus":0.014477469595527998,"score_gpt":0.21276672686810433,"score_spread":0.19828925727257632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197151326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6822399,0.00030199447,0.31710327,0.00008657569,0.000016247186,0.0000644426,0.0000010636754,0.000052287865,0.00013422348],"genre_scores_gemma":[0.9980454,0.000032872376,0.0018929977,0.000008190694,7.6644295e-7,0.000007376711,0.000001202492,0.0000071041923,0.0000041320222],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893314,0.000008005702,0.00014957806,0.0002348479,0.0004707213,0.00020368188],"domain_scores_gemma":[0.9994916,0.00002319332,0.00002146371,0.00015178103,0.00027278785,0.0000391992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000480725,0.00009184618,0.00016793987,0.00022533318,0.00008603989,0.00003188545,0.00008083842,0.000058584323,0.0000025627176],"category_scores_gemma":[0.00007880369,0.000080006095,0.000017781147,0.000729368,0.00024096615,0.000086325395,0.00006838951,0.00011343344,3.8074992e-7],"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":[0.000008565281,0.000054063108,0.004269719,0.000047356487,0.00010651317,0.0000057237803,0.00012035779,0.9184639,0.05105363,0.00034260587,0.0000030357628,0.02552456],"study_design_scores_gemma":[0.00031613946,0.00007162423,0.00030007158,0.000030320925,0.000042846703,0.0000036845045,0.00013271955,0.9946976,0.0037324973,0.00055932516,0.000019141544,0.0000940326],"about_ca_topic_score_codex":0.000010053495,"about_ca_topic_score_gemma":0.000059161237,"teacher_disagreement_score":0.31580546,"about_ca_system_score_codex":0.00009117537,"about_ca_system_score_gemma":0.00004426795,"threshold_uncertainty_score":0.32625538},"labels":[],"label_agreement":null},{"id":"W3201876376","doi":"10.1088/1361-6501/ac2ca5","title":"Simultaneous measurements of velocity, gas concentration, and temperature by way of thermal-anemometry-based probes","year":2021,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermometer; Mechanics; Turbulence; Isothermal process; Temperature measurement; Scalar (mathematics); Thermal; Materials science; Coaxial; Compensation (psychology); Physics; Thermodynamics; Mechanical engineering; Engineering","score_opus":0.010454243975435464,"score_gpt":0.20018861699972176,"score_spread":0.1897343730242863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201876376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99557287,0.003043168,0.00018870512,0.0004310154,0.00009117908,0.00016731721,0.000009938197,0.000063763626,0.0004320558],"genre_scores_gemma":[0.99916226,0.00009355588,0.0006957782,0.000021206468,0.000004154689,0.0000070041665,0.0000023532416,0.000007886586,0.000005797324],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99857765,0.0000122138945,0.00022400293,0.000231624,0.0007409016,0.00021359812],"domain_scores_gemma":[0.99865395,0.000015128391,0.00004601673,0.000198648,0.0010393171,0.000046956484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063726335,0.000118979784,0.00019464179,0.00012372878,0.00008277617,0.000024669367,0.00016299287,0.00010133443,0.000008744883],"category_scores_gemma":[0.0003515457,0.00010728627,0.000014421724,0.0008772649,0.0004719073,0.00007143989,0.00004200106,0.00010329404,3.997355e-7],"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":[0.0000027549888,0.00004658915,0.0075998404,0.00009211955,0.000018900742,0.0000023275497,0.000031482094,0.0015794401,0.9855763,0.0002728926,0.0000735564,0.004703827],"study_design_scores_gemma":[0.0004300197,0.00007787848,0.0007091891,0.0000654373,0.000014537219,0.00000486583,0.000034878438,0.049131267,0.9491019,0.00013385466,0.0001738607,0.0001223089],"about_ca_topic_score_codex":0.000005041347,"about_ca_topic_score_gemma":0.000014561345,"teacher_disagreement_score":0.047551826,"about_ca_system_score_codex":0.00006998773,"about_ca_system_score_gemma":0.00014106436,"threshold_uncertainty_score":0.43750072},"labels":[],"label_agreement":null},{"id":"W3210454111","doi":"10.1088/1361-6501/abf30d","title":"Error propagation dynamics of velocimetry-based pressure field calculations (2): on the error profile","year":2021,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":19,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Propagation of uncertainty; Bernoulli's principle; Field (mathematics); Approximation error; Round-off error; Observational error; Mathematics; Computer science; Algorithm; Mathematical analysis; Physics; Statistics","score_opus":0.01859199430886237,"score_gpt":0.22409858943684996,"score_spread":0.20550659512798758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210454111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89915663,0.0012085956,0.04289122,0.04108745,0.00092254445,0.0014865123,0.000066784094,0.000642239,0.012538031],"genre_scores_gemma":[0.9992314,0.000005004078,0.00062572135,0.000059871334,0.000005831554,0.000033509816,0.0000035951184,0.0000061141154,0.000028943577],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897337,0.000010573853,0.00013417852,0.00017022365,0.0005326654,0.0001789775],"domain_scores_gemma":[0.9991836,0.000022172573,0.000028133742,0.00027446728,0.00046938396,0.00002222968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059556525,0.00007948578,0.0000903485,0.00017438816,0.00015997615,0.00002038382,0.00017332834,0.000081929764,0.00002912063],"category_scores_gemma":[0.00044474937,0.00005899738,0.00001532323,0.00092055916,0.00018636657,0.000047904938,0.000036017103,0.00014447844,0.0000029341088],"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":[0.000019882538,0.00034111575,0.0077405726,0.0003753548,0.00013236527,0.000011866161,0.0001677029,0.08784136,0.34548506,0.51635,0.0029844162,0.03855035],"study_design_scores_gemma":[0.0001140017,0.000056372388,0.0008054906,0.0000336883,0.000014984562,0.0000014668714,0.00005202768,0.91800416,0.07941408,0.0005043089,0.00092466985,0.00007477624],"about_ca_topic_score_codex":0.0000061480537,"about_ca_topic_score_gemma":0.00007185981,"teacher_disagreement_score":0.83016276,"about_ca_system_score_codex":0.00007660863,"about_ca_system_score_gemma":0.0001507232,"threshold_uncertainty_score":0.24058433},"labels":[],"label_agreement":null},{"id":"W3212384989","doi":"10.1088/1361-6501/ac370b","title":"A layer-peeling method for signal trapping correction in planar LII measurements of statistically steady flames","year":2021,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Combustion and flame dynamics","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":"National Research Council Canada","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; Comisión Nacional de Investigación Científica y Tecnológica","keywords":"Soot; Laminar flow; Materials science; Volume fraction; Planar; Trapping; Diffusion flame; Diffusion; Analytical Chemistry (journal); Optics; SIGNAL (programming language); Volume (thermodynamics); Mechanics; Combustion; Chemistry; Physics; Thermodynamics; Composite material; Chromatography","score_opus":0.045107238833724916,"score_gpt":0.27788862144973864,"score_spread":0.23278138261601372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212384989","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04983951,0.00031755923,0.9479099,0.00037087392,0.00041551766,0.00026313224,0.0000059373015,0.00014495073,0.00073259656],"genre_scores_gemma":[0.9719267,0.000020366177,0.027983388,0.000016352607,0.0000075973326,0.000027024365,0.0000014631316,0.000007668332,0.000009464482],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987156,0.00001939738,0.00025302568,0.00022608924,0.0005425808,0.00024334583],"domain_scores_gemma":[0.9990674,0.000039900944,0.000035379282,0.000120295306,0.00070069695,0.000036291647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019482261,0.00009181032,0.00017643077,0.00043482633,0.000080412305,0.0000211378,0.00012256218,0.00007340872,0.000006284966],"category_scores_gemma":[0.0006576402,0.0000977028,0.000016174976,0.0009329462,0.000120632416,0.00007969417,0.00002095313,0.00012687324,5.686289e-7],"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":[0.000011532684,0.000045773348,0.0036533114,0.00007618439,0.000019342468,0.0000029935309,0.00011644554,0.0035219216,0.86780643,0.002140715,0.000110337074,0.12249501],"study_design_scores_gemma":[0.0008948319,0.00013346797,0.0029015678,0.000179454,0.000028042856,0.000018169876,0.0010474316,0.6177729,0.37415105,0.0020863821,0.0005612662,0.00022546937],"about_ca_topic_score_codex":0.000008412302,"about_ca_topic_score_gemma":0.00029288663,"teacher_disagreement_score":0.9220872,"about_ca_system_score_codex":0.00020830981,"about_ca_system_score_gemma":0.00017312856,"threshold_uncertainty_score":0.39842045},"labels":[],"label_agreement":null},{"id":"W3213663646","doi":"10.1088/1361-6501/ac3679","title":"MiniCarb: a passive, occultation-viewing, 6U CubeSat for observations of CO <sub>2</sub> , CH <sub>4</sub> , and H <sub>2</sub> O","year":2021,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","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":"Laurentian University","funders":"Lawrence Livermore National Laboratory; Goddard Space Flight Center","keywords":"CubeSat; Payload (computing); Environmental science; Remote sensing; Radio occultation; Satellite; Orbiter; Computer science; Aerospace engineering; Meteorology; Physics; Telecommunications; Engineering; Global Positioning System; Geology","score_opus":0.024975953256709357,"score_gpt":0.22933984131778568,"score_spread":0.2043638880610763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213663646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921321,0.00037052066,0.004825943,0.0016064852,0.00013320515,0.00062051835,0.00001624418,0.00008408866,0.00021089423],"genre_scores_gemma":[0.99398434,0.0010251991,0.0043961164,0.00035589142,0.000019541136,0.0001705823,0.000010145872,0.000025591587,0.000012599584],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9963843,0.00004636244,0.0005624932,0.0010096716,0.0013001781,0.00069697964],"domain_scores_gemma":[0.9986945,0.00007197986,0.0003013203,0.0005286801,0.00020293448,0.00020062069],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001123896,0.00033363732,0.00041843374,0.000081438484,0.00068180007,0.00006438796,0.00046747047,0.0002455055,0.000011318637],"category_scores_gemma":[0.0007142395,0.0003261416,0.00007987423,0.0015120532,0.002771657,0.00050129514,0.0004555063,0.00023258163,0.000019526151],"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":[0.000011600941,0.00016679961,0.038505968,0.000031885826,0.000024316725,0.000005649337,0.00017509272,0.00030293444,0.9065454,0.00034821796,0.0003428425,0.053539272],"study_design_scores_gemma":[0.00082662294,0.00025300303,0.0971437,0.00006687893,0.00008807085,0.000032158736,0.00090543454,0.0037201506,0.89341474,0.001303884,0.001833081,0.0004122754],"about_ca_topic_score_codex":0.000015869497,"about_ca_topic_score_gemma":0.00014352192,"teacher_disagreement_score":0.058637735,"about_ca_system_score_codex":0.00050103414,"about_ca_system_score_gemma":0.00017651998,"threshold_uncertainty_score":0.99994224},"labels":[],"label_agreement":null},{"id":"W4200188430","doi":"10.1088/1361-6501/ac4432","title":"A new multipath channel estimation and mitigation using annihilation filter combined tracking loop implementation in software GPS receivers","year":2021,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"GNSS positioning and interference","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Multipath propagation; Rake receiver; Global Positioning System; Multipath mitigation; Computer science; Delay spread; GPS signals; GPS disciplined oscillator; Electronic engineering; Real-time computing; Assisted GPS; Channel (broadcasting); Telecommunications; Engineering","score_opus":0.03279784699123038,"score_gpt":0.2635978111951509,"score_spread":0.23079996420392052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200188430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9214361,0.00017817057,0.077651225,0.00031997933,0.00010637742,0.00012642654,0.0000012569853,0.00011994169,0.0000605346],"genre_scores_gemma":[0.9918851,0.000020710673,0.008053183,0.000014851917,0.0000058983364,0.0000072269563,0.000005307246,0.0000050356075,0.0000026528485],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992136,0.0000090433405,0.00014639557,0.00019697273,0.0002719335,0.00016206474],"domain_scores_gemma":[0.9995679,0.0000059226977,0.000032080672,0.000079550235,0.0002817599,0.000032763466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037129075,0.000076422315,0.000079642945,0.00031032716,0.0001274593,0.00006773332,0.00005151684,0.000054863405,0.000005532846],"category_scores_gemma":[0.00014736432,0.00008610966,0.000005777324,0.0006341393,0.000074335854,0.0004173815,0.000022255708,0.000083553976,8.980187e-7],"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":[0.000008171234,0.000032810785,0.03489467,0.00007844004,0.000013799928,0.0000055923697,0.0018241591,0.011325458,0.6791108,0.00080799934,0.00013247335,0.27176562],"study_design_scores_gemma":[0.0009944526,0.00008991398,0.052638818,0.00028618812,0.000017899587,0.000027497641,0.0013799971,0.5325065,0.40823987,0.003568664,0.0000211961,0.00022895625],"about_ca_topic_score_codex":0.000039271632,"about_ca_topic_score_gemma":0.00009921855,"teacher_disagreement_score":0.5211811,"about_ca_system_score_codex":0.00020857013,"about_ca_system_score_gemma":0.00008759623,"threshold_uncertainty_score":0.35114503},"labels":[],"label_agreement":null},{"id":"W4200237197","doi":"10.1088/1361-6501/ac3f83","title":"New transform to project axisymmetric deflection fields along arbitrary rays","year":2021,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":24,"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":"Tomographic reconstruction; Rotational symmetry; Radon transform; Tomography; Algorithm; Iterative reconstruction; Computer science; Optics; Physics; Geometry; Computer vision; Mathematics","score_opus":0.03148865131100127,"score_gpt":0.2411597130389228,"score_spread":0.20967106172792155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200237197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62796307,0.00608325,0.09075697,0.093396455,0.0021263012,0.0015548223,0.000012577614,0.0019972515,0.1761093],"genre_scores_gemma":[0.9896302,0.00011259976,0.008387456,0.00168875,0.000029336092,0.0000026947832,0.0000015102946,0.0000019895506,0.00014542176],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983213,0.000015740883,0.00014794331,0.0003967617,0.0007753024,0.00034297945],"domain_scores_gemma":[0.99930966,0.000013232119,0.000027021326,0.0001939218,0.00034986704,0.00010627791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011057477,0.00010166082,0.00012083262,0.0008924646,0.00031741435,0.00008082597,0.00025759128,0.00008593184,0.00010691155],"category_scores_gemma":[0.00037309364,0.00008713041,0.000020981517,0.0034275635,0.00015819789,0.00026742532,0.000021982703,0.00017010274,0.00003272934],"study_design_candidate":"design_other","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":[0.000007179708,0.000011877142,0.016813131,0.000008176796,0.0000051063603,0.000012397773,0.0000919064,0.0000025693073,0.0033906202,0.00044718228,0.01366863,0.96554124],"study_design_scores_gemma":[0.0005795431,0.0008525872,0.022765415,0.000094784904,0.00003208126,0.0002913553,0.0011145371,0.0027784265,0.710298,0.024570124,0.23606008,0.00056302693],"about_ca_topic_score_codex":0.0029552982,"about_ca_topic_score_gemma":0.0006201064,"teacher_disagreement_score":0.9649782,"about_ca_system_score_codex":0.000033680386,"about_ca_system_score_gemma":0.0008009826,"threshold_uncertainty_score":0.44675466},"labels":[],"label_agreement":null},{"id":"W4210371543","doi":"10.1088/1361-6501/ac5133","title":"CAD-based x-ray CT calibration and error compensation","year":2022,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Safran Electronics (Canada)","funders":"Association Nationale de la Recherche et de la Technologie","keywords":"Calibration; Scanner; Computer science; Industrial computed tomography; CAD; Projection (relational algebra); Pencil (optics); Computer Aided Design; Algorithm; Parametrization (atmospheric modeling); Orthographic projection; Computer vision; Tomography; Optics; Artificial intelligence; Mathematics; Physics; Engineering drawing","score_opus":0.021372190848677728,"score_gpt":0.2227604317810203,"score_spread":0.2013882409323426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210371543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9218771,0.00096341217,0.07205864,0.0031265675,0.000306465,0.0003065788,0.0000041998674,0.00064988824,0.000707189],"genre_scores_gemma":[0.9991888,0.000005704563,0.0006802813,0.00007294481,0.0000052506457,0.00003726773,8.512592e-7,0.0000051721754,0.0000037736656],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991471,0.0000085967795,0.000086072476,0.00016082384,0.00043513175,0.00016225185],"domain_scores_gemma":[0.9997684,0.000005258857,0.000018513003,0.00010518317,0.00007599759,0.000026676842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006280988,0.0000634543,0.00006587437,0.00025276767,0.00040240408,0.00002179712,0.00010527891,0.0000113857905,0.000011565549],"category_scores_gemma":[0.00005757673,0.00006551402,0.000004684467,0.0005941398,0.00022124525,0.000168258,0.000045944245,0.000118793,6.1807134e-7],"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":[0.000008086296,0.00004717255,0.011374488,0.000050349394,0.00001035015,0.000013309383,0.00022360063,0.064242415,0.8339111,0.009607609,0.0002594343,0.08025208],"study_design_scores_gemma":[0.0007006962,0.00014633597,0.0029294644,0.000017989878,0.000015192959,0.000032147935,0.0015511366,0.87757635,0.09878796,0.0031200228,0.014803656,0.0003190343],"about_ca_topic_score_codex":0.000004197853,"about_ca_topic_score_gemma":0.000008959931,"teacher_disagreement_score":0.8133339,"about_ca_system_score_codex":0.00014229145,"about_ca_system_score_gemma":0.000051035382,"threshold_uncertainty_score":0.30950075},"labels":[],"label_agreement":null},{"id":"W4214752141","doi":"10.1088/1361-6501/ac5877","title":"Adaptive benchmarking design for additive manufacturing processes","year":2022,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":9,"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":"Beef Cattle Research Council","keywords":"Flexibility (engineering); Computer science; Benchmarking; Benchmark (surveying); Image warping; Surface (topology); Engineering drawing; Mechanical engineering; Mathematics; Artificial intelligence; Geometry; Geology; Engineering; Statistics","score_opus":0.04455002018997256,"score_gpt":0.22348480403551185,"score_spread":0.1789347838455393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214752141","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25109547,0.001829103,0.73135656,0.0014998831,0.0010831894,0.0025265089,0.000095803036,0.0069790683,0.0035344062],"genre_scores_gemma":[0.99094963,0.00003587393,0.008304055,0.000017990995,0.00002190134,0.0006465844,0.0000010365754,0.000015709396,0.0000072112225],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99844617,0.000011536064,0.0001374909,0.00037642577,0.00059073255,0.00043762987],"domain_scores_gemma":[0.9993392,0.000066955596,0.000046240468,0.00019219499,0.00032330013,0.00003209888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014397592,0.00015506998,0.0001475559,0.0005705377,0.0009382417,0.000038215167,0.0004634393,0.000050445153,0.00001850624],"category_scores_gemma":[0.00053541735,0.00015441648,0.00001520079,0.00067629607,0.00047300017,0.00013128112,0.00030471003,0.0002509163,0.0000015361013],"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":[0.00003806413,0.00006359089,0.00008034447,0.00013850312,0.000088401146,0.000013000621,0.00032868696,0.012464413,0.014351805,0.0054201507,0.0044717384,0.9625413],"study_design_scores_gemma":[0.00023663622,0.0003544861,0.00013402427,0.000028243983,0.000014460454,0.000019952324,0.0013991763,0.007896742,0.9567909,0.017557258,0.015284682,0.00028343784],"about_ca_topic_score_codex":0.0000024377105,"about_ca_topic_score_gemma":0.0000037031762,"teacher_disagreement_score":0.96225786,"about_ca_system_score_codex":0.00039527696,"about_ca_system_score_gemma":0.00014780012,"threshold_uncertainty_score":0.72162914},"labels":[],"label_agreement":null},{"id":"W4214771321","doi":"10.1088/1361-6501/ac5875","title":"The irradiance instrument subsystem (IRIS) on the airborne-lunar spectral irradiance (air-LUSI) instrument","year":2022,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Institute of Standards and Technology; National Aeronautics and Space Administration","keywords":"Irradiance; Remote sensing; Environmental science; Atmosphere (unit); Solar irradiance; Satellite; Meteorology; Atmospheric sciences; Optics; Geology; Physics; Astronomy","score_opus":0.02871122879127539,"score_gpt":0.20240002945320454,"score_spread":0.17368880066192915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214771321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.830066,0.004788752,0.0020820627,0.121654175,0.0036338617,0.00429234,0.00003159996,0.0037840887,0.029667119],"genre_scores_gemma":[0.99849784,0.00021830188,0.00010534721,0.0005120887,0.00003481285,0.00054834376,5.91064e-7,0.000019329615,0.000063313535],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99663824,0.00007400798,0.0003216407,0.00041114393,0.0019541786,0.000600802],"domain_scores_gemma":[0.9989478,0.000025513416,0.00007943659,0.0006686153,0.00018364433,0.00009499879],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0040619117,0.00022482057,0.00017002078,0.00030693263,0.0018647197,0.00012023731,0.000985247,0.000056364803,0.000037133042],"category_scores_gemma":[0.00014852635,0.00015403405,0.000039997878,0.0015370952,0.00069414603,0.00017139524,0.00017589865,0.0004773383,0.000016147025],"study_design_candidate":"not_applicable","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":[0.00005404553,0.00024012885,0.00409405,0.000077020326,0.00013552504,0.000026222338,0.00075300894,0.0010623009,0.20490526,0.55725795,0.043714296,0.18768018],"study_design_scores_gemma":[0.00090604264,0.00077203015,0.0087614795,0.00011266821,0.000030736053,0.000095307136,0.0030339,0.011481612,0.13713247,0.0061580148,0.8307145,0.00080125086],"about_ca_topic_score_codex":0.000016579947,"about_ca_topic_score_gemma":0.00009209715,"teacher_disagreement_score":0.7870002,"about_ca_system_score_codex":0.001274786,"about_ca_system_score_gemma":0.000229986,"threshold_uncertainty_score":0.9994347},"labels":[],"label_agreement":null},{"id":"W4223476417","doi":"10.1088/1361-6501/ac6663","title":"Lightweight edge-attention network for surface-defect detection of rubber seal rings","year":2022,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MD Precision (Canada)","funders":"","keywords":"Computer science; Pyramid (geometry); Backbone network; Artificial intelligence; Convolutional neural network; Block (permutation group theory); Edge detection; Bottleneck; Feature (linguistics); Artificial neural network; Enhanced Data Rates for GSM Evolution; Natural rubber; Pattern recognition (psychology); Computer vision; Algorithm; Image processing; Image (mathematics); Embedded system; Mathematics; Materials science; Computer network","score_opus":0.021314916042489453,"score_gpt":0.21454512222892608,"score_spread":0.19323020618643663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223476417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890351,0.00046629494,0.007563132,0.000107886946,0.0015638012,0.0005146162,0.000003808886,0.00027895978,0.00046639232],"genre_scores_gemma":[0.9996879,0.0000071223953,0.00012036345,0.0000047763497,0.00006331438,0.00008518283,4.301627e-7,0.000010388273,0.000020510659],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986074,0.000020751862,0.00022130753,0.00022399616,0.0006562292,0.00027033742],"domain_scores_gemma":[0.9993747,0.000012873422,0.000068789646,0.00016035812,0.00035210993,0.000031172807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002512004,0.00009229299,0.00015426007,0.00030139787,0.0005276074,0.000020604659,0.00013621438,0.000079964586,0.0000074774043],"category_scores_gemma":[0.00008592705,0.000089533154,0.000043013035,0.0013692725,0.000111459674,0.00010639139,0.00006270798,0.00015826957,0.000001886741],"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":[0.000020417012,0.000016268808,0.0015144248,0.00003322489,0.000020243704,4.2502143e-7,0.000025216297,0.0028444764,0.9760446,0.0006951101,0.0005825109,0.018203061],"study_design_scores_gemma":[0.0014191816,0.0012065987,0.0025892665,0.00005620115,0.00006203554,0.000049436767,0.00046119004,0.019909391,0.8905815,0.0015980724,0.08166402,0.0004031196],"about_ca_topic_score_codex":0.000014531068,"about_ca_topic_score_gemma":0.000021966905,"teacher_disagreement_score":0.08546313,"about_ca_system_score_codex":0.0002946061,"about_ca_system_score_gemma":0.000040716062,"threshold_uncertainty_score":0.40579826},"labels":[],"label_agreement":null},{"id":"W4281678140","doi":"10.1088/1361-6501/ac75b0","title":"Flow visualization: state-of-the-art development of micro-particle image velocimetry","year":2022,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Particle image velocimetry; Microscale chemistry; Velocimetry; Particle tracking velocimetry; Visualization; Microfluidics; Computer science; State of art; Optics; Materials science; Nanotechnology; Physics; Artificial intelligence; Mechanics; Data science","score_opus":0.010117884367166522,"score_gpt":0.20461356947016351,"score_spread":0.194495685102997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281678140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942315,0.00034535275,0.004546897,0.00017337887,0.00021641493,0.00014036674,0.000003696491,0.00006579526,0.0002765672],"genre_scores_gemma":[0.99677247,0.000007361024,0.0031649393,0.000010294134,0.000001610104,0.00001844535,4.4686635e-7,0.0000059448435,0.00001850014],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988271,0.000007748136,0.00020066297,0.00012762763,0.000667677,0.00016919384],"domain_scores_gemma":[0.99953896,0.0000031888198,0.000035736957,0.00017308755,0.00022850123,0.000020528545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088624493,0.000062878025,0.00009230512,0.00016644842,0.00021017595,0.000008142323,0.00028431276,0.000015211294,0.00001945604],"category_scores_gemma":[0.000052204585,0.000055007207,0.000012146823,0.0012843005,0.00025891498,0.000055064724,0.00019909277,0.00007190259,0.0000020217649],"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":[0.0000022323757,0.00004590814,0.0028763476,0.00003278965,0.000013036015,5.348446e-7,0.00022393465,0.0037721884,0.9763529,0.0010469415,0.00024885085,0.015384365],"study_design_scores_gemma":[0.00020674967,0.000037426413,0.0024329338,0.000011770984,0.000005630519,0.00000384896,0.00007314355,0.19313896,0.79866135,0.00033515535,0.0049969703,0.00009604357],"about_ca_topic_score_codex":9.4852294e-7,"about_ca_topic_score_gemma":0.0000063937096,"teacher_disagreement_score":0.18936676,"about_ca_system_score_codex":0.00015004752,"about_ca_system_score_gemma":0.00014617064,"threshold_uncertainty_score":0.22431289},"labels":[],"label_agreement":null},{"id":"W4281798609","doi":"10.1088/1361-6501/ac75b1","title":"Emerging technologies in the field of thermometry","year":2022,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Materials science; Fiber Bragg grating; Optics; Optical fiber; Optoelectronics; Brillouin scattering; Physics","score_opus":0.017499419413989217,"score_gpt":0.26650124175264467,"score_spread":0.24900182233865545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281798609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9636872,0.0004202225,0.0008038168,0.02608907,0.00007499679,0.00021889961,0.0000017188428,0.00005376841,0.008650347],"genre_scores_gemma":[0.9998135,0.0000024758438,0.000071327566,0.000059651386,0.0000028098507,0.000045158722,5.4924996e-8,0.000001259393,0.000003783121],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99891484,0.000015006376,0.00010697593,0.00014566527,0.0006500955,0.00016739473],"domain_scores_gemma":[0.99966604,0.000042628162,0.000034024786,0.00016995243,0.000078722274,0.000008645692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016505189,0.00004459182,0.00007698074,0.00026513307,0.00018785223,0.000007687033,0.0005086941,0.000016026903,0.00006107689],"category_scores_gemma":[0.00029086365,0.000028652415,0.000012228602,0.0017964856,0.00024549308,0.000030974945,0.00027021888,0.00020489594,6.5727295e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034198831,0.000089327754,0.026852667,0.0000031162497,0.0000037791324,0.0000010286386,0.00005898535,0.0000014847379,0.02323962,0.657775,0.00012297914,0.29184863],"study_design_scores_gemma":[0.0007076869,0.0008588061,0.0040856483,0.00002971717,0.000018873954,0.000004101174,0.047293488,0.00090422394,0.27899572,0.6166007,0.050174907,0.00032615717],"about_ca_topic_score_codex":0.000020740361,"about_ca_topic_score_gemma":0.0000017398226,"teacher_disagreement_score":0.29152247,"about_ca_system_score_codex":0.00002223794,"about_ca_system_score_gemma":0.00005463851,"threshold_uncertainty_score":0.14448264},"labels":[],"label_agreement":null},{"id":"W4283206045","doi":"10.1088/1361-6501/ac7a93","title":"A contact-based technique for measurement of membrane tension","year":2022,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fuel Cells and Related Materials","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 British Columbia","funders":"","keywords":"Membrane; Tension (geology); Surface tension; Materials science; Mechanics; Mechanical engineering; Composite material; Chemistry; Engineering; Thermodynamics; Physics","score_opus":0.021435183658747595,"score_gpt":0.20569118979179046,"score_spread":0.18425600613304288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283206045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72543126,0.047356315,0.12869523,0.01608327,0.0111966515,0.026418582,0.00026942417,0.006821162,0.03772808],"genre_scores_gemma":[0.9984429,0.000043615084,0.0010977875,0.000021950136,0.000005350981,0.00037421362,5.788191e-7,0.000011225365,0.000002366897],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983577,0.000011243467,0.00020878634,0.00020141811,0.0009790445,0.00024182413],"domain_scores_gemma":[0.99908274,0.0000069156135,0.00004893257,0.00019873337,0.0006294688,0.00003318159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031150933,0.000099350655,0.00018092514,0.0004231187,0.0002274575,0.000010114584,0.00023157647,0.000063068466,0.000020893218],"category_scores_gemma":[0.00014720869,0.00008741975,0.000021640235,0.00062959816,0.00017782557,0.00004103606,0.00006558392,0.000104261446,5.958891e-7],"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":[0.000012167021,0.00003194711,0.000023145658,0.00019006623,0.0000087965045,0.0000010668297,0.000008588508,0.0007213939,0.9978144,0.00044007882,0.00022078492,0.00052752835],"study_design_scores_gemma":[0.0004624495,0.00029263087,0.000019739458,0.00003545021,0.000016458227,0.0000070286596,0.00006940882,0.0033758262,0.98439634,0.0004555315,0.010758404,0.000110732304],"about_ca_topic_score_codex":0.000007004585,"about_ca_topic_score_gemma":0.0000031319996,"teacher_disagreement_score":0.27301162,"about_ca_system_score_codex":0.00029118912,"about_ca_system_score_gemma":0.00016497541,"threshold_uncertainty_score":0.3564874},"labels":[],"label_agreement":null},{"id":"W4283748693","doi":"10.1088/1361-6501/ac7d98","title":"Fault feature analysis and detection of progressive localized gear tooth pitting and spalling","year":2022,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Gear and Bearing Dynamics Analysis","field":"Engineering","cited_by":11,"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 Ottawa","funders":"Venture and Innovation Support Program for Chongqing Overseas Returnees; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Spall; Fault (geology); Vibration; Sideband; Feature (linguistics); Structural engineering; Computer science; Geology; Engineering; Acoustics; Seismology; Physics; Telecommunications","score_opus":0.008765186592321925,"score_gpt":0.20509977280455863,"score_spread":0.1963345862122367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283748693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99222714,0.0014124422,0.0059576374,0.0001571444,0.000027327022,0.00007929303,0.0000013613413,0.00007463314,0.00006300398],"genre_scores_gemma":[0.9991971,0.0000559894,0.0007173345,0.0000047278495,0.000003406081,0.000012395821,3.5555655e-7,0.0000041428802,0.0000045348306],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906504,0.000009704083,0.00010292375,0.0002115668,0.0004531889,0.00015759174],"domain_scores_gemma":[0.9996571,0.000005672713,0.000042373285,0.00011439791,0.00015077538,0.000029684808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089794217,0.00007163306,0.00015929638,0.000732561,0.00027919357,0.000030436526,0.000096231066,0.000039215563,0.0000030647093],"category_scores_gemma":[0.00008273719,0.00006734095,0.000018186034,0.0020952162,0.00023500578,0.00005091242,0.00011581137,0.00015049048,7.4825465e-8],"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":[0.0000106801945,0.000035967863,0.10845277,0.00009505094,0.00046925605,0.000008748735,0.00036891853,0.009784119,0.7591119,0.0005901863,0.000005614398,0.12106681],"study_design_scores_gemma":[0.0005247708,0.00022197865,0.024390744,0.00002583315,0.0006631507,0.000030131174,0.0019469205,0.89386547,0.07649747,0.0008112656,0.00070688495,0.00031537417],"about_ca_topic_score_codex":0.00002620806,"about_ca_topic_score_gemma":0.00006661645,"teacher_disagreement_score":0.88408136,"about_ca_system_score_codex":0.000069603106,"about_ca_system_score_gemma":0.000016110163,"threshold_uncertainty_score":0.27460843},"labels":[],"label_agreement":null},{"id":"W4288058223","doi":"10.1088/1361-6501/ac849e","title":"Bayesian approach to pyrometry during intercritical annealing of advanced high strength steel","year":2022,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":4,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; International Zinc Association","keywords":"Pyrometer; Emissivity; Materials science; Annealing (glass); Surface finish; Bayesian inference; Surface roughness; Bayesian probability; Computer science; Temperature measurement; Optics; Metallurgy; Composite material; Artificial intelligence; Physics; Thermodynamics","score_opus":0.014068618140371542,"score_gpt":0.21609682379020498,"score_spread":0.20202820564983343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288058223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97312766,0.0002621149,0.02053053,0.0005351669,0.00021825658,0.00044270963,0.000009153393,0.00087893655,0.0039954553],"genre_scores_gemma":[0.99443597,0.000009830852,0.0053785453,0.000034022414,0.00000838731,0.00011391455,8.2678565e-7,0.000012058214,0.000006439551],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981487,0.000013957454,0.0002290466,0.00027884037,0.0010339422,0.00029553994],"domain_scores_gemma":[0.9994083,0.0000047671024,0.000020488958,0.00024378514,0.00024016551,0.00008246315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010678716,0.00011039325,0.00016704288,0.00092051807,0.0002200816,0.000021762913,0.00034176485,0.000038813563,0.000018385383],"category_scores_gemma":[0.00019883,0.000117305426,0.00001679615,0.0017435424,0.0001959397,0.00014036796,0.00020126479,0.0001921291,5.605219e-7],"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":[0.000008865759,0.000074835894,0.00055557885,0.000064386644,0.000009420675,0.0000013571992,0.00011205877,0.0007958353,0.9769283,0.01068524,0.00014789199,0.010616263],"study_design_scores_gemma":[0.0004774901,0.00024402351,0.0019122311,0.000042270698,0.000011970547,0.000020001386,0.0021543305,0.0053475415,0.9868308,0.00064026966,0.0020347016,0.0002844139],"about_ca_topic_score_codex":0.00000392804,"about_ca_topic_score_gemma":0.0000032285775,"teacher_disagreement_score":0.021308297,"about_ca_system_score_codex":0.00031230008,"about_ca_system_score_gemma":0.000057917412,"threshold_uncertainty_score":0.47835764},"labels":[],"label_agreement":null},{"id":"W4291476105","doi":"10.1088/1361-6501/ac86e4","title":"A new experimental setup for time-resolved measurements of interactions between gas jets and flexible surfaces","year":2022,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Nozzle; Bar (unit); Supersonic speed; Jet (fluid); Materials science; Surface (topology); Optics; Plane (geometry); Mechanics; Inlet; Range (aeronautics); Acoustics; Physics; Geometry; Mechanical engineering; Composite material","score_opus":0.039628740252560565,"score_gpt":0.26577330767989327,"score_spread":0.2261445674273327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291476105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848108,0.0012331619,0.01112547,0.0004869415,0.00038123378,0.00054113654,0.000035057146,0.00023651858,0.0011496454],"genre_scores_gemma":[0.995733,0.000008096163,0.00412978,0.000007461507,0.000014394226,0.00005163482,0.0000019394581,0.000011302178,0.000042345786],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987358,0.000007399076,0.0001816721,0.0002265529,0.00060783024,0.0002407656],"domain_scores_gemma":[0.99954814,0.000016187412,0.00004308508,0.00015801059,0.00017523595,0.000059340524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092828856,0.000106419306,0.00016158061,0.00028399567,0.0003280082,0.000024603461,0.00024114651,0.000030642208,0.000031687956],"category_scores_gemma":[0.00008544762,0.000110743415,0.000016138381,0.0004634263,0.00019841397,0.0001021359,0.00017322857,0.00011620373,9.2764816e-7],"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":[0.0000062972667,0.000029597726,0.0023347693,0.00001837109,0.00003282827,3.0353897e-7,0.00010830364,0.0010561041,0.9849602,0.00029347488,0.0010299431,0.010129788],"study_design_scores_gemma":[0.0015608474,0.00073384354,0.0011277869,0.000057849957,0.000086137705,0.000016256043,0.0013006354,0.08680809,0.8947974,0.0032914248,0.009707657,0.00051206956],"about_ca_topic_score_codex":0.000013852322,"about_ca_topic_score_gemma":0.000010336337,"teacher_disagreement_score":0.09016281,"about_ca_system_score_codex":0.00021180375,"about_ca_system_score_gemma":0.00009156234,"threshold_uncertainty_score":0.45159853},"labels":[],"label_agreement":null},{"id":"W4293061168","doi":"10.1088/1361-6501/ac78c5","title":"Explainable 1DCNN with demodulated frequency features method for fault diagnosis of rolling bearing under time-varying speed conditions","year":2022,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Demodulation; Fault (geology); Computer science; Vibration; Bearing (navigation); Autoencoder; Envelope (radar); Time–frequency analysis; Pattern recognition (psychology); SIGNAL (programming language); Stability (learning theory); Convolutional neural network; Artificial intelligence; Frequency band; Encoder; Control theory (sociology); Artificial neural network; Acoustics; Computer vision; Machine learning; Channel (broadcasting); Telecommunications; Physics; Filter (signal processing)","score_opus":0.01927088401378763,"score_gpt":0.2787642421082465,"score_spread":0.2594933580944589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293061168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91085094,0.0021194858,0.07744949,0.0026216367,0.00018381773,0.0022857743,0.00007955092,0.0021707613,0.0022385356],"genre_scores_gemma":[0.9663536,0.00002941427,0.032896344,0.000043081083,0.0000078197345,0.0006317795,0.000005561595,0.00002447906,0.000007937872],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99825215,0.000024518546,0.00023216613,0.0003576089,0.0007352989,0.00039827163],"domain_scores_gemma":[0.99907076,0.00007638208,0.000077188604,0.00028188594,0.00044384855,0.00004994331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017106005,0.00016765513,0.00025870776,0.00078304263,0.00059790746,0.00003331489,0.0004024137,0.00007257268,0.000035014265],"category_scores_gemma":[0.00029160597,0.00016002452,0.000028178743,0.0015261329,0.00022793098,0.00019992926,0.0001283465,0.00025266365,5.672725e-7],"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":[0.00001274334,0.00013347338,0.008671939,0.000119002674,0.00010314581,0.0000064381993,0.00016814862,0.060104802,0.9148388,0.007642082,0.0014186583,0.0067807524],"study_design_scores_gemma":[0.0007514588,0.0004634673,0.001178348,0.00010727194,0.0000825111,0.000043930235,0.00042964483,0.0861739,0.89455664,0.015076715,0.00072675635,0.00040938277],"about_ca_topic_score_codex":0.00007084834,"about_ca_topic_score_gemma":0.000023302371,"teacher_disagreement_score":0.05550264,"about_ca_system_score_codex":0.0003513827,"about_ca_system_score_gemma":0.00009658544,"threshold_uncertainty_score":0.65256107},"labels":[],"label_agreement":null},{"id":"W4302022957","doi":"10.1088/1361-6501/ac97b2","title":"A novel complex network community clustering method for fault diagnosis","year":2022,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":8,"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 British Columbia, Okanagan Campus; University of British Columbia","funders":"National Key Research and Development Program of China","keywords":"Cluster analysis; Computer science; Benchmark (surveying); Data mining; Complex network; Community structure; Node (physics); Enhanced Data Rates for GSM Evolution; Troubleshooting; Fault (geology); Reliability (semiconductor); Division (mathematics); Modularity (biology); Artificial intelligence; Mathematics; Statistics; Engineering","score_opus":0.07634463173449507,"score_gpt":0.3253678730516099,"score_spread":0.24902324131711484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302022957","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04521572,0.0006449,0.94336796,0.003559491,0.00047781668,0.0016884869,0.00005242004,0.0028722517,0.002120977],"genre_scores_gemma":[0.9004073,0.000027225213,0.097228475,0.00022817682,0.000021333215,0.0020626648,0.0000024792328,0.000020153699,0.0000021742294],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983452,0.000046598136,0.00021498906,0.00024469354,0.0006792267,0.000469273],"domain_scores_gemma":[0.9991088,0.00010183156,0.000044736647,0.00041136198,0.00027805328,0.00005525135],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0054479614,0.00015366999,0.00021752981,0.0003828099,0.0013270152,0.000044187193,0.00077537575,0.000054321426,0.000022420276],"category_scores_gemma":[0.00048898056,0.00016411858,0.000028014725,0.0013335766,0.00023763662,0.00010001184,0.00060529617,0.00043943984,6.335459e-7],"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":[0.000021974485,0.00055289856,0.011766241,0.00028171638,0.00010532295,0.0000035426845,0.0005749823,0.054051336,0.484337,0.012657897,0.051822636,0.38382444],"study_design_scores_gemma":[0.0010680541,0.0006820038,0.003446142,0.00006046343,0.000052037976,0.00006969083,0.00083275756,0.6978512,0.050334465,0.0087061385,0.2361715,0.0007255402],"about_ca_topic_score_codex":0.00012810528,"about_ca_topic_score_gemma":0.00033056544,"teacher_disagreement_score":0.8551916,"about_ca_system_score_codex":0.00045356137,"about_ca_system_score_gemma":0.000049071426,"threshold_uncertainty_score":0.9999731},"labels":[],"label_agreement":null},{"id":"W4306252504","doi":"10.1088/1361-6501/ac9a64","title":"Position estimation and calibration for high precision human positioning and tracking using millimeter-wave radar","year":2022,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":8,"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":"Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"Computer science; Radar; Extremely high frequency; Position (finance); Calibration; Tracking (education); Context (archaeology); Precise Point Positioning; Positioning system; Millimeter; Remote sensing; Computer vision; Point (geometry); Global Positioning System; Telecommunications; Optics; Mathematics; Physics; Geology","score_opus":0.035332242610071125,"score_gpt":0.24262948419508898,"score_spread":0.20729724158501786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306252504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7513753,0.00032547305,0.24736904,0.00026968843,0.00008073459,0.00028333778,0.0000051766624,0.0002742629,0.000016963797],"genre_scores_gemma":[0.9907898,0.000013194633,0.0091127325,0.000017479504,0.000007292009,0.000043206564,0.000006262428,0.00000914095,9.095748e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990739,0.000011088839,0.00015484543,0.00022326462,0.00036628442,0.00017056994],"domain_scores_gemma":[0.9996706,0.000011299798,0.000041863983,0.00009440467,0.00016115911,0.000020675096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074605783,0.00008919149,0.000098035576,0.00050499686,0.001096202,0.00008610887,0.00006995419,0.000061296196,0.0000025630889],"category_scores_gemma":[0.000102882834,0.00009498479,0.0000068088334,0.00050641556,0.0002169811,0.0003283596,0.000079121004,0.00009398441,4.8299142e-8],"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":[0.0000054642846,0.00001246016,0.0004328167,0.000039583247,0.000007749624,0.0000012484365,0.0001426937,0.0025515663,0.90687793,0.013795188,0.000021067905,0.076112226],"study_design_scores_gemma":[0.00050581567,0.00027968557,0.0009914234,0.000041946714,0.00003073866,0.0000728779,0.00049281283,0.49441838,0.478773,0.024130976,0.00005706408,0.00020527793],"about_ca_topic_score_codex":0.000009455595,"about_ca_topic_score_gemma":0.0000062322115,"teacher_disagreement_score":0.4918668,"about_ca_system_score_codex":0.00021777421,"about_ca_system_score_gemma":0.000024057414,"threshold_uncertainty_score":0.843121},"labels":[],"label_agreement":null},{"id":"W4313332832","doi":"10.1088/1361-6501/acaf12","title":"Optimal transmission estimation with dark counts","year":2022,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Quantum Information and Cryptography","field":"Computer Science","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 Calgary; National Research Council Canada; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spurious relationship; Transmission (telecommunications); Detector; Photon; Quantum; Physics; Optics; Quantum imaging; Fock space; Statistical physics; Computer science; Quantum mechanics; Telecommunications; Quantum information; Mathematics; Statistics; Quantum network","score_opus":0.012673828206874458,"score_gpt":0.21214069598045837,"score_spread":0.1994668677735839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313332832","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02239668,0.0001441905,0.95928955,0.0038140623,0.00012778032,0.00015805557,5.389501e-7,0.00029412276,0.013775023],"genre_scores_gemma":[0.97946966,0.0000040214477,0.020376079,0.00012098026,0.0000012161441,0.00001889234,1.910678e-7,0.0000011236725,0.000007829752],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988,0.0000062777076,0.00006574112,0.00013615181,0.00087288977,0.00011898155],"domain_scores_gemma":[0.99962586,0.0000017593433,0.000030118463,0.00014733626,0.0001677123,0.000027217271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007957163,0.000040267856,0.00003867215,0.00032735936,0.00041935843,0.000046762463,0.00038079981,0.000012179038,0.000021933902],"category_scores_gemma":[0.000012361916,0.000031911943,0.000005179355,0.001383772,0.00017318295,0.0002777282,0.00007680721,0.000072374256,0.000008025215],"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":[0.000007095879,0.00006200625,0.0003350963,0.000009247852,0.000005342893,0.0000040125346,0.0004289174,0.00041862973,0.0073239123,0.37050572,0.002634065,0.618266],"study_design_scores_gemma":[0.0010862058,0.0011759266,0.0014218044,0.000029344863,0.000011385815,0.00022194204,0.0008371192,0.6580755,0.022465074,0.017590638,0.29658878,0.0004962753],"about_ca_topic_score_codex":8.2261073e-7,"about_ca_topic_score_gemma":1.5382435e-7,"teacher_disagreement_score":0.957073,"about_ca_system_score_codex":0.000052397605,"about_ca_system_score_gemma":0.00015883819,"threshold_uncertainty_score":0.32254085},"labels":[],"label_agreement":null},{"id":"W4313452247","doi":"10.1088/1361-6501/acad1f","title":"Bearing fault diagnosis using normalized diagnostic feature-gram and convolutional neural network","year":2022,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":35,"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 Calgary","funders":"","keywords":"Convolutional neural network; Computer science; Pattern recognition (psychology); Artificial intelligence; Artificial neural network; Fault (geology); Bearing (navigation); Frequency domain; Feature extraction; Computer vision","score_opus":0.021280684594802066,"score_gpt":0.25391296402990465,"score_spread":0.2326322794351026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313452247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99042803,0.005208655,0.0007861401,0.0013141831,0.00038260315,0.0005091811,0.000009609863,0.0011038345,0.00025776678],"genre_scores_gemma":[0.9963071,0.00023947486,0.002852265,0.00011574429,0.00003930988,0.0004234181,0.0000016383246,0.000018317794,0.0000027751419],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99790466,0.00003054086,0.00018920859,0.00037957085,0.0009611658,0.0005348593],"domain_scores_gemma":[0.9993453,0.00008685489,0.000046887806,0.00023090676,0.00020225253,0.00008781938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014847463,0.00018742126,0.00021258031,0.0004393437,0.00086110964,0.00007182337,0.0003581756,0.00007512751,0.000023620732],"category_scores_gemma":[0.0007255367,0.00019652568,0.00002116563,0.001372034,0.0005101949,0.00020772792,0.0004649706,0.00041590436,7.871529e-7],"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":[0.00001586248,0.00018527142,0.81475616,0.00012706454,0.00008657558,0.00006710785,0.00018957235,0.038520668,0.070375234,0.010033667,0.011258703,0.054384124],"study_design_scores_gemma":[0.0026242281,0.00092347,0.1419918,0.00027318613,0.00023846421,0.00074366597,0.0005362021,0.68455005,0.06652084,0.010470098,0.08884264,0.0022853687],"about_ca_topic_score_codex":0.000052466858,"about_ca_topic_score_gemma":0.00003885336,"teacher_disagreement_score":0.67276436,"about_ca_system_score_codex":0.00039447917,"about_ca_system_score_gemma":0.00006875457,"threshold_uncertainty_score":0.80140847},"labels":[],"label_agreement":null},{"id":"W4313452307","doi":"10.1088/1361-6501/acad1c","title":"A rate-of-rise facility for measuring properties of wick structures","year":2022,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Magna International (Canada); York University","funders":"Ontario Centre of Innovation","keywords":"Repeatability; Monte Carlo method; Context (archaeology); Measurement uncertainty; Experimental data; Algorithm; Computer science; Mathematics; Applied mathematics; Statistics","score_opus":0.04431640453137442,"score_gpt":0.20541032904237944,"score_spread":0.16109392451100502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313452307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891814,0.0017625624,0.008375907,0.00008953929,0.000089468354,0.00023906094,0.000010003531,0.00007379626,0.00017824995],"genre_scores_gemma":[0.999722,0.000017077029,0.00020084801,0.000003343521,0.0000016534693,0.00004869708,1.9556936e-7,0.0000035494231,0.0000026212208],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991172,0.000008509532,0.00016679196,0.00014496148,0.00040298214,0.00015958655],"domain_scores_gemma":[0.99945354,0.000004889,0.00003985436,0.00014246015,0.0003376721,0.000021571344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013547948,0.000069651505,0.0001512588,0.00017530481,0.00014228876,0.0000059123277,0.00025334765,0.000025771362,0.000009612755],"category_scores_gemma":[0.0002363701,0.000055068544,0.000017815297,0.00050083257,0.00037391912,0.000056042554,0.00009078873,0.00008217385,1.15740924e-7],"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":[0.000019237761,0.00002285276,0.00017614433,0.00030442496,0.000018243298,2.3747438e-7,0.000087507324,0.004035235,0.9736096,0.007607295,0.0000043141654,0.01411489],"study_design_scores_gemma":[0.0007497442,0.00033380263,0.0008308514,0.00003832658,0.00003783925,0.0000101214755,0.0010780479,0.16661416,0.7975574,0.028531669,0.0039133155,0.0003047445],"about_ca_topic_score_codex":0.000007075631,"about_ca_topic_score_gemma":0.000004815478,"teacher_disagreement_score":0.17605223,"about_ca_system_score_codex":0.00007214091,"about_ca_system_score_gemma":0.00007733443,"threshold_uncertainty_score":0.22456302},"labels":[],"label_agreement":null},{"id":"W4317861415","doi":"10.1088/1361-6501/acb5b2","title":"Prospects on ultrasound measurement techniques with optical fibers","year":2023,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":25,"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 Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Nondestructive testing; Ultrasound; Structural health monitoring; Transducer; Ultrasonic sensor; Materials science; Broadband; Multiplexing; Optical fiber; Acoustics; Electromagnetic interference; Computer science; Optics; Telecommunications","score_opus":0.016880151516834585,"score_gpt":0.2098600650535397,"score_spread":0.19297991353670513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317861415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8772658,0.00055231614,0.015659621,0.005385116,0.0007044427,0.0021363196,0.000007296269,0.012486101,0.08580299],"genre_scores_gemma":[0.9986675,0.000052477004,0.0010843067,0.000056974044,0.000018014438,0.00009039111,2.928253e-7,0.000017690989,0.000012348004],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99725556,0.0000045322595,0.00013449937,0.00035246654,0.0017053369,0.00054760993],"domain_scores_gemma":[0.99914783,0.000016884494,0.000019149646,0.00027909724,0.0004517868,0.00008522186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019048015,0.00016838161,0.00015039291,0.0005605146,0.00022875814,0.0000616885,0.00026867053,0.00006847585,0.000004717437],"category_scores_gemma":[0.000478761,0.00013196009,0.000011671199,0.0018366375,0.00067117705,0.00012517757,0.000035151428,0.00021812883,0.000025691765],"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":[0.000009645119,0.000040597268,0.001232016,0.00005325757,0.000030210795,0.000028525148,0.000086909444,0.0001611073,0.96271414,0.0061215768,0.002371863,0.027150126],"study_design_scores_gemma":[0.00035589878,0.00032583423,0.0029322142,0.0002146309,0.00002596535,0.00007113165,0.00041238646,0.0019829792,0.98704594,0.0015423633,0.0047124927,0.00037816112],"about_ca_topic_score_codex":0.000003224845,"about_ca_topic_score_gemma":0.000010836876,"teacher_disagreement_score":0.121401705,"about_ca_system_score_codex":0.0004966237,"about_ca_system_score_gemma":0.00018446759,"threshold_uncertainty_score":0.53811765},"labels":[],"label_agreement":null},{"id":"W4318763323","doi":"10.1088/1361-6501/acb80b","title":"An intelligent vision recognition method based on deep learning for pointer meters","year":2023,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Computer science; Artificial intelligence; Computer vision; Hough transform; Segmentation; Automatic meter reading; Region of interest; Image (mathematics)","score_opus":0.04308370480635166,"score_gpt":0.32188051464526474,"score_spread":0.2787968098389131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318763323","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004244785,0.000013452499,0.99165136,0.0020467255,0.00016938054,0.00031668236,3.0269183e-7,0.0012557537,0.00030158408],"genre_scores_gemma":[0.9086488,0.00001305569,0.09079348,0.0003816909,0.0000139093545,0.00012957446,0.00000112972,0.000007917463,0.000010438091],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981231,0.000063183135,0.00016776715,0.0005803807,0.0007229964,0.00034255924],"domain_scores_gemma":[0.9986946,0.000050102422,0.000069678754,0.00035591327,0.00076799904,0.00006169937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052900077,0.00011587997,0.00011910069,0.0015692941,0.0004601758,0.00017272923,0.00058354775,0.00008044255,0.0000037118837],"category_scores_gemma":[0.00074547564,0.00010060455,0.000030457042,0.002239987,0.00016857374,0.00048879546,0.00010088693,0.00015576741,0.000022980466],"study_design_candidate":"design_other","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":[0.000009150034,0.000030347339,0.000026318698,0.00000702848,0.0000021579426,0.0000020161222,0.000053300606,0.000047035843,0.07940131,0.0005397559,0.00008200161,0.91979957],"study_design_scores_gemma":[0.00017077319,0.0012241127,0.00009380405,0.00002657847,0.0000037237455,0.000004128465,0.000106056345,0.2913291,0.69589484,0.009416471,0.0016138534,0.000116597206],"about_ca_topic_score_codex":0.0000062606055,"about_ca_topic_score_gemma":0.000007966314,"teacher_disagreement_score":0.919683,"about_ca_system_score_codex":0.00017022836,"about_ca_system_score_gemma":0.000075320066,"threshold_uncertainty_score":0.41025344},"labels":[],"label_agreement":null},{"id":"W4321367006","doi":"10.1088/1361-6501/acbd66","title":"Bi-filter multiscale-diversity-entropy-based weak feature extraction for a rotor-bearing system","year":2023,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","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":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Entropy (arrow of time); Feature extraction; Filter (signal processing); Pattern recognition (psychology); Subtraction; Data mining; Information extraction; Artificial intelligence; Mathematics; Computer vision","score_opus":0.027236625730657937,"score_gpt":0.26790010735735564,"score_spread":0.2406634816266977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321367006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8760026,0.000579573,0.083611965,0.0072172433,0.0018659094,0.004968004,0.00004676555,0.02275359,0.0029543475],"genre_scores_gemma":[0.99611896,0.000014504463,0.0034639754,0.000016830665,0.000029518455,0.000317702,0.0000019798538,0.000016409422,0.0000201003],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998443,0.000010089109,0.00012931314,0.0003396678,0.00067174324,0.00040615222],"domain_scores_gemma":[0.9992799,0.000026465741,0.000036454763,0.000267348,0.0003291226,0.00006069468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014186394,0.00014848489,0.00016009845,0.00090512895,0.00049072265,0.000058208556,0.00034685712,0.00015212294,0.000002513543],"category_scores_gemma":[0.00028025697,0.00014155572,0.000031363423,0.0012893872,0.0001747588,0.00019357471,0.00015073226,0.00019964002,0.000014282347],"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":[0.000018686947,0.00006179191,0.044079896,0.00060578674,0.00004035297,0.000016295513,0.000085711894,0.00076886086,0.89962506,0.0048497077,0.020708099,0.029139765],"study_design_scores_gemma":[0.0011450268,0.0002128547,0.009970643,0.00034025087,0.00005320059,0.000018457193,0.0004921162,0.22746104,0.7298489,0.00039591233,0.02953089,0.0005306862],"about_ca_topic_score_codex":0.000018254135,"about_ca_topic_score_gemma":0.000032756674,"teacher_disagreement_score":0.22669218,"about_ca_system_score_codex":0.00044943797,"about_ca_system_score_gemma":0.000040662904,"threshold_uncertainty_score":0.57724744},"labels":[],"label_agreement":null},{"id":"W4323036350","doi":"10.1088/1361-6501/acc11c","title":"Fault diagnosis for rotor based on multi-sensor information and progressive strategies","year":2023,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":11,"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 Calgary","funders":"National Natural Science Foundation of China","keywords":"Fault (geology); Rotor (electric); Computer science; Rubbing; Outlier; Feature extraction; Fault detection and isolation; Pattern recognition (psychology); SIGNAL (programming language); Support vector machine; Fault indicator; Fault coverage; Feature (linguistics); Data mining; Artificial intelligence; Engineering; Actuator","score_opus":0.029107586602698004,"score_gpt":0.29534239752398844,"score_spread":0.2662348109212904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323036350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95245343,0.0005480449,0.025530348,0.006691437,0.00037671748,0.0053895647,0.00006749348,0.007852136,0.001090811],"genre_scores_gemma":[0.99318945,0.00007912687,0.004614505,0.000060112914,0.000007988984,0.0020365678,0.000002735925,0.00000845616,0.000001048256],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989408,0.0000052998676,0.00015267784,0.00017905256,0.00044676272,0.00027535215],"domain_scores_gemma":[0.99935573,0.000036712474,0.00003551349,0.00016747644,0.0003610982,0.000043454893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082445645,0.00012294002,0.000116740644,0.0007729474,0.00017244833,0.00011346151,0.0001689306,0.00008939745,0.0000022620866],"category_scores_gemma":[0.0007847692,0.0001067625,0.000011790172,0.0008543021,0.00027537227,0.00039954972,0.000037617207,0.000091323804,0.000005819991],"study_design_candidate":"design_other","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":[0.00004964918,0.00030541053,0.075677074,0.0013536458,0.00006604136,0.000015290587,0.00066376856,0.004836458,0.09057478,0.01775474,0.01907145,0.7896317],"study_design_scores_gemma":[0.0014492935,0.0007894338,0.020099485,0.00028190046,0.000024468107,0.0000041482563,0.0009967812,0.5928358,0.35627195,0.0017433207,0.024948947,0.00055448996],"about_ca_topic_score_codex":0.000005060023,"about_ca_topic_score_gemma":0.000013029465,"teacher_disagreement_score":0.7890772,"about_ca_system_score_codex":0.00009477299,"about_ca_system_score_gemma":0.0000617668,"threshold_uncertainty_score":0.43536484},"labels":[],"label_agreement":null},{"id":"W4327915836","doi":"10.1088/1361-6501/acc5a4","title":"Selective LASER melting part quality prediction and energy consumption optimization","year":2023,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":13,"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 Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Selective laser melting; Computer science; Quality (philosophy); Process (computing); Energy consumption; Laser power scaling; Energy (signal processing); Artificial neural network; Metric (unit); Power (physics); Process engineering; Laser; Artificial intelligence; Engineering; Mathematics","score_opus":0.03644279072441639,"score_gpt":0.2386223194693867,"score_spread":0.2021795287449703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327915836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9816062,0.00025692626,0.0147523405,0.0003210136,0.0003836551,0.000100266065,0.000015147884,0.0013887534,0.0011757091],"genre_scores_gemma":[0.99935263,0.0004156132,0.00015743704,0.000009422563,0.00002105123,0.000027411264,0.000003056881,0.000004970216,0.000008411884],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992956,0.00001021326,0.000104237595,0.00017118825,0.00026336423,0.00015542257],"domain_scores_gemma":[0.9996739,0.000010948421,0.000024247913,0.00005994861,0.00020684513,0.000024118212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008895644,0.00006496309,0.00007393403,0.00021536193,0.00019115262,0.000038615617,0.00004788381,0.00005108604,0.000010276676],"category_scores_gemma":[0.00021378501,0.000060518025,0.0000033508986,0.00044050836,0.0002003745,0.00015750156,0.00003474898,0.00003981124,0.0000024810242],"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":[0.000036440884,0.000055128654,0.029418882,0.0007860339,0.00010331863,0.0000057533794,0.00059665844,0.06659386,0.6950754,0.009012219,0.004110774,0.19420555],"study_design_scores_gemma":[0.00031863872,0.000076393175,0.022432875,0.00007315229,0.0000143727075,0.000007967224,0.00021648366,0.043941766,0.92677397,0.0019361066,0.00397559,0.0002327063],"about_ca_topic_score_codex":0.000005912964,"about_ca_topic_score_gemma":0.000010767091,"teacher_disagreement_score":0.23169857,"about_ca_system_score_codex":0.000059734728,"about_ca_system_score_gemma":0.00002041582,"threshold_uncertainty_score":0.24678534},"labels":[],"label_agreement":null},{"id":"W4328052349","doi":"10.1088/1361-6501/acc602","title":"Deep learning-based methods in structural reliability analysis: a review","year":2023,"lang":"en","type":"review","venue":"Measurement Science and Technology","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":31,"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 Manitoba","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Mitacs; China Postdoctoral Science Foundation","keywords":"Computer science; Artificial intelligence; Deep learning; Perceptron; Reliability (semiconductor); Machine learning; Artificial neural network; Boltzmann machine","score_opus":0.04683853465078689,"score_gpt":0.364235280370938,"score_spread":0.3173967457201511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4328052349","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000006456757,0.9943569,0.004049985,0.00004670445,0.00034104206,0.0005667073,9.71311e-7,0.0004947435,0.00013654536],"genre_scores_gemma":[0.00041273516,0.99575824,0.0035508766,0.000010964423,0.000024895959,0.00020655408,0.000002968392,0.00002837482,0.0000043837126],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972464,0.00011137378,0.00065411197,0.0006246046,0.00076787604,0.0005956537],"domain_scores_gemma":[0.9987658,0.000051634208,0.00014039838,0.000544236,0.00043165518,0.000066261855],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0062173544,0.00036465592,0.0015295768,0.0022160793,0.00013931136,0.00003929705,0.0006109543,0.0002840465,0.000008333767],"category_scores_gemma":[0.0022441044,0.00028072877,0.00016474351,0.0105121285,0.0004101853,0.00009123136,0.00012166364,0.00088149734,0.000007662453],"study_design_candidate":"design_other","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":[2.6845404e-7,0.0000021354804,0.00008452862,0.015286481,0.00008497903,0.000006657692,0.0000076446995,0.00091727945,0.000009117495,0.000075737546,0.000014363825,0.9835108],"study_design_scores_gemma":[0.00025032676,0.000092572394,0.00027346387,0.044830736,0.003405473,0.000020871608,0.00007898296,0.034242995,0.00010855116,0.00092953106,0.9144568,0.0013097221],"about_ca_topic_score_codex":0.000011351523,"about_ca_topic_score_gemma":0.00004579301,"teacher_disagreement_score":0.9822011,"about_ca_system_score_codex":0.0008843006,"about_ca_system_score_gemma":0.00028685576,"threshold_uncertainty_score":0.9999645},"labels":[],"label_agreement":null},{"id":"W4372348744","doi":"10.1088/1361-6501/acd2f5","title":"Synchronous fault feature extraction for rolling bearings in a generalized demodulation framework","year":2023,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":8,"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 Ottawa","funders":"National Natural Science Foundation of China","keywords":"Demodulation; Fault (geology); Computer science; SIGNAL (programming language); Vibration; Extractor; Feature (linguistics); Algorithm; Time–frequency analysis; Instantaneous phase; Control theory (sociology); Ridge; Process (computing); Acoustics; Artificial intelligence; Engineering; Physics; Computer vision; Telecommunications; Geology","score_opus":0.021300242462340243,"score_gpt":0.29827426549485797,"score_spread":0.2769740230325177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4372348744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93738467,0.00043604794,0.056995537,0.0021211107,0.00022407602,0.0006924975,0.0000018488993,0.0019905004,0.000153714],"genre_scores_gemma":[0.9838991,0.00013106216,0.01560005,0.00002378099,0.000025509089,0.00030032443,0.0000016822524,0.0000142642875,0.000004195974],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988309,0.000006003791,0.00014493823,0.00027167192,0.00042262222,0.0003238607],"domain_scores_gemma":[0.99953264,0.000027285882,0.000028679913,0.00017486096,0.00020624649,0.000030293448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001455321,0.00010946529,0.00013522553,0.00090106804,0.00013673458,0.000043341297,0.00018187136,0.00019147422,0.0000017212095],"category_scores_gemma":[0.00080929155,0.000110261164,0.000015439555,0.0018201561,0.00009766412,0.0001829884,0.000037229795,0.00021146818,0.0000034022555],"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":[0.000012753867,0.000052298277,0.038774285,0.00015039656,0.000021059928,0.0000071415325,0.0002421861,0.010860228,0.750353,0.009722897,0.0022653337,0.18753844],"study_design_scores_gemma":[0.000666016,0.00013437054,0.03389911,0.00025605096,0.000021445167,0.000011993579,0.000118022916,0.64114976,0.2734456,0.041262552,0.008581576,0.00045349795],"about_ca_topic_score_codex":0.000016341062,"about_ca_topic_score_gemma":0.00006359725,"teacher_disagreement_score":0.6302895,"about_ca_system_score_codex":0.0003076666,"about_ca_system_score_gemma":0.000036352132,"threshold_uncertainty_score":0.449632},"labels":[],"label_agreement":null},{"id":"W4384927093","doi":"10.1088/1361-6501/ace928","title":"Rotating machinery fault diagnosis using dimension expansion and AntisymNet lightweight convolutional neural network","year":2023,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Convolutional neural network; Computer science; Benchmark (surveying); Artificial intelligence; Fault (geology); Pattern recognition (psychology); Dimension (graph theory); Bearing (navigation); Deep learning; Mathematics","score_opus":0.026564191941279687,"score_gpt":0.26851295366365985,"score_spread":0.24194876172238017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384927093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948031,0.0016183075,0.00079359097,0.0006781382,0.00027142308,0.0002813482,0.000003304729,0.0014408901,0.000109908884],"genre_scores_gemma":[0.9944453,0.0004655426,0.004881066,0.00004999797,0.000050529998,0.000083161656,0.0000024247026,0.000020276922,0.0000016748897],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980426,0.000022900202,0.00024302035,0.00041115595,0.00075572415,0.00052462466],"domain_scores_gemma":[0.9993584,0.00004795285,0.00004731214,0.00021411237,0.00024807313,0.00008413305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014189128,0.00019516947,0.00021006868,0.0006120308,0.000522125,0.00006171428,0.0002069218,0.00012464102,0.0000060979323],"category_scores_gemma":[0.0003322813,0.00017885125,0.000017204171,0.0018273463,0.00042867105,0.00026898523,0.00024054493,0.00022308406,0.0000046647406],"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":[0.0000051066945,0.00004239879,0.53382194,0.000091829475,0.000027712756,0.00003866028,0.0000939187,0.0045627938,0.33714348,0.0039252606,0.0040546604,0.11619226],"study_design_scores_gemma":[0.00033929432,0.00012097908,0.04115891,0.00024221963,0.00002861939,0.00005917796,0.00005436717,0.86590713,0.08526085,0.0038869043,0.0024879815,0.00045354626],"about_ca_topic_score_codex":0.000029209956,"about_ca_topic_score_gemma":0.00002512627,"teacher_disagreement_score":0.86134434,"about_ca_system_score_codex":0.00011585237,"about_ca_system_score_gemma":0.000042103926,"threshold_uncertainty_score":0.7293342},"labels":[],"label_agreement":null},{"id":"W4386630417","doi":"10.1088/1361-6501/acf8e8","title":"Generation of high-dimensional vibration signal and its application in fault diagnosis","year":2023,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","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":"University of British Columbia; Okanagan University College; University of British Columbia, Okanagan Campus","funders":"National Natural Science Foundation of China","keywords":"Computer science; Pattern recognition (psychology); Fault (geology); Feature extraction; Feature (linguistics); Curse of dimensionality; Artificial intelligence; Sample (material); SIGNAL (programming language); Set (abstract data type); Similarity (geometry); Data set; Vibration; Data mining; Image (mathematics)","score_opus":0.03411047708702112,"score_gpt":0.2695245639566285,"score_spread":0.23541408686960738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386630417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99703723,0.00023096816,0.0012188088,0.00086667115,0.000031821182,0.00026810443,0.0000020022944,0.000300052,0.000044330365],"genre_scores_gemma":[0.99909204,0.00017711153,0.00042350145,0.0000148371155,0.000009547412,0.00027412106,0.0000030356016,0.000005194039,6.3086156e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990754,0.000007714861,0.00015734103,0.00019223055,0.00043178434,0.00013552181],"domain_scores_gemma":[0.9996364,0.000012038727,0.000027057686,0.00009370644,0.00020927047,0.000021533499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008971289,0.00006931776,0.00009822945,0.0006729803,0.000056887307,0.000010811344,0.00009325198,0.00006992906,0.0000033958418],"category_scores_gemma":[0.00015848382,0.00006853666,0.000004570635,0.0012846021,0.00010646859,0.0001635066,0.000045576133,0.00006756716,0.0000031564434],"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":[7.7403615e-7,0.00001947847,0.009417115,0.000022616392,0.0000024774743,5.565404e-7,0.000023303219,0.001118815,0.9453193,0.004930011,0.0003228742,0.038822703],"study_design_scores_gemma":[0.00011639477,0.00004149583,0.018622369,0.000019818135,0.000003075469,0.0000010568436,0.000009228383,0.22056408,0.7589891,0.0014589244,0.000102511316,0.000071927054],"about_ca_topic_score_codex":0.000031553915,"about_ca_topic_score_gemma":0.00013422736,"teacher_disagreement_score":0.21944526,"about_ca_system_score_codex":0.00007799313,"about_ca_system_score_gemma":0.000026664777,"threshold_uncertainty_score":0.2794844},"labels":[],"label_agreement":null},{"id":"W4386947673","doi":"10.1088/1361-6501/acfc5c","title":"An enhanced outlier processing approach based on the resilient mathematical model compensation in GNSS precise positioning and navigation","year":2023,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"GNSS positioning and interference","field":"Engineering","cited_by":5,"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 Calgary","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"GNSS applications; Computer science; Outlier; Ambiguity resolution; Kinematics; Compensation (psychology); Real Time Kinematic; Global Positioning System; Artificial intelligence; Telecommunications","score_opus":0.033308980869365734,"score_gpt":0.25163825068476436,"score_spread":0.21832926981539863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386947673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.909949,0.000017178281,0.08638313,0.00050084863,0.000015989322,0.00020453852,5.819156e-7,0.00024330923,0.0026853988],"genre_scores_gemma":[0.9982311,0.000002287228,0.0016570034,0.000023416733,0.000003638457,0.00007271331,0.0000018289179,0.0000055111846,0.0000024771255],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907017,0.000013273991,0.00012487294,0.0002022658,0.0004191549,0.00017026585],"domain_scores_gemma":[0.99962014,0.000010844962,0.00001977522,0.00013684978,0.00018700292,0.0000253816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012069748,0.0000732367,0.00007175837,0.0002804002,0.00021558061,0.000081435835,0.00012190408,0.00004855066,6.8152696e-7],"category_scores_gemma":[0.00011654695,0.0000562891,0.000004408552,0.00072385196,0.00021789172,0.00016081403,0.000016859325,0.00012666346,0.0000029257226],"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":[0.000012633186,0.000117164906,0.00037288305,0.00012539963,0.0000030647195,7.966658e-7,0.0017317213,0.2731687,0.6837902,0.018690813,0.00005154745,0.021935094],"study_design_scores_gemma":[0.00009984695,0.000045231915,0.00075997727,0.0001746692,0.0000024539731,0.0000013142198,0.00037623747,0.9419544,0.051508468,0.0050132764,7.2151295e-7,0.00006343285],"about_ca_topic_score_codex":0.00000103648,"about_ca_topic_score_gemma":0.0000016059291,"teacher_disagreement_score":0.6687857,"about_ca_system_score_codex":0.00010444739,"about_ca_system_score_gemma":0.000037430473,"threshold_uncertainty_score":0.22954029},"labels":[],"label_agreement":null},{"id":"W4387606224","doi":"10.1088/1361-6501/ad031c","title":"High accuracy key feature extraction approach for the non-stationary signals measurement based on NGO-VMD noise reduction and CNN-LSTM","year":2023,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":11,"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 Waterloo","funders":"Shanxi Scholarship Council of China; National Natural Science Foundation of China","keywords":"Computer science; Key (lock); Convolutional neural network; Pattern recognition (psychology); Hyperparameter; Artificial intelligence; Feature (linguistics); Feature extraction; Kurtosis; SIGNAL (programming language); Noise (video); Noise reduction; Matrix (chemical analysis); Reduction (mathematics); Mode (computer interface); Algorithm; Mathematics; Statistics","score_opus":0.03351159428236863,"score_gpt":0.28498824829068964,"score_spread":0.25147665400832103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387606224","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3858984,0.0035073874,0.5060165,0.0728156,0.0026670464,0.0150455935,0.0000839337,0.010461421,0.0035041021],"genre_scores_gemma":[0.9931434,0.00020655552,0.0053667915,0.00007394764,0.000056014323,0.0011150875,0.000006880192,0.000021419948,0.0000099374765],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977847,0.000019699151,0.0001925587,0.00043988062,0.0012145931,0.00034859646],"domain_scores_gemma":[0.99882054,0.000078798126,0.000069397516,0.00034725448,0.00062899414,0.000055003584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033515096,0.00019833566,0.00016536503,0.000692838,0.0004845066,0.000086630054,0.00028694124,0.000145131,0.0000034699467],"category_scores_gemma":[0.0008955685,0.00015251867,0.00002653284,0.0013691229,0.00028287427,0.00025535334,0.000044397166,0.00025656025,0.0000031930222],"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":[0.00004278945,0.00015395637,0.00056039455,0.00021866082,0.000044366036,0.000002040594,0.00012614814,0.015620403,0.83322895,0.0014088516,0.03173154,0.11686188],"study_design_scores_gemma":[0.0009143113,0.00041560383,0.013126494,0.00015292669,0.00007727467,0.000016391745,0.00045820497,0.49574137,0.47696838,0.0021604747,0.009481614,0.00048696029],"about_ca_topic_score_codex":0.000017144444,"about_ca_topic_score_gemma":0.0000071926215,"teacher_disagreement_score":0.60724497,"about_ca_system_score_codex":0.00032245216,"about_ca_system_score_gemma":0.000093030736,"threshold_uncertainty_score":0.62195307},"labels":[],"label_agreement":null},{"id":"W4390605970","doi":"10.1088/1361-6501/ad1b9e","title":"Comparison of aerosol spectrometers : accounting for evaporation and sampling losses","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Infection Control and Ventilation","field":"Medicine","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":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Polytechnique Montréal","keywords":"Aerosol; Environmental science; Particle-size distribution; Evaporation; Particle counter; Sampling (signal processing); Bioaerosol; Particle size; Meteorology; Remote sensing; Materials science; Optics; Chemistry; Physics; Detector","score_opus":0.08892663377514355,"score_gpt":0.3634531389640507,"score_spread":0.27452650518890714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390605970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93464255,0.0010174998,0.061597124,0.0018936903,0.0001790232,0.00035114682,7.674402e-7,0.00008740865,0.00023075854],"genre_scores_gemma":[0.99898237,0.0000115357225,0.0009445326,0.000014225113,0.00002525929,0.000013958686,6.063724e-7,0.0000025793029,0.0000049407276],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999312,0.0000022375148,0.0001337327,0.00016063388,0.0002892429,0.00010216487],"domain_scores_gemma":[0.9994232,0.000015050005,0.00004023058,0.00005666739,0.00044905834,0.000015809006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010146638,0.000043301312,0.000110609384,0.0003696007,0.00011666438,0.000034188808,0.000024337878,0.00003704655,0.0000025999361],"category_scores_gemma":[0.00039607592,0.00003552745,0.000011317348,0.0004705504,0.00020180662,0.00012630668,0.000013957043,0.00005116942,5.003358e-7],"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":[0.000016388945,0.00002523967,0.044030294,0.00015116886,0.000013038574,1.991853e-7,0.000069291265,0.0000022429429,0.8998505,0.0045303423,0.00002838301,0.051282935],"study_design_scores_gemma":[0.0010441645,0.0012307317,0.020050544,0.00043994593,0.00018902753,0.00004019558,0.0007916994,0.05672004,0.9136567,0.002838032,0.002831457,0.000167434],"about_ca_topic_score_codex":0.000003910977,"about_ca_topic_score_gemma":0.000008302731,"teacher_disagreement_score":0.06433978,"about_ca_system_score_codex":0.000059421072,"about_ca_system_score_gemma":0.00010056003,"threshold_uncertainty_score":0.14487673},"labels":[],"label_agreement":null},{"id":"W4391464181","doi":"10.1088/1361-6501/ad25e6","title":"Control of the robotic arm system with an SSVEP-based BCI","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Science Foundation of Hebei Province; National Natural Science Foundation of China","keywords":"Computer science; Brain–computer interface; Robotic arm; Workspace; Task (project management); Control system; Canonical correlation; Artificial intelligence; Robot; Electroencephalography; Engineering","score_opus":0.03237510241027625,"score_gpt":0.24235863554580261,"score_spread":0.20998353313552637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391464181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96195567,0.0003381444,0.027576854,0.0071310396,0.0007199545,0.00059568795,0.0000039562296,0.00050266855,0.0011760375],"genre_scores_gemma":[0.9996759,8.250401e-7,0.000111154295,0.0001695305,0.0000108771255,0.000014994829,1.7427563e-8,0.00000535858,0.0000113174165],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981745,0.00004331548,0.00014023333,0.0004351459,0.00095820613,0.00024861467],"domain_scores_gemma":[0.99930334,0.00003631797,0.000050824416,0.00035359332,0.0002162477,0.000039681305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010366279,0.00010072758,0.00013273556,0.00026992292,0.00021564541,0.000093791416,0.00067005015,0.000043351534,0.0000024416954],"category_scores_gemma":[0.00020068788,0.00005412462,0.000016996446,0.0013520637,0.0014919472,0.00016109762,0.00006119161,0.0001358859,0.0000038363414],"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":[0.000013504338,0.000065520915,0.00085367926,0.000097604374,0.000004597489,0.000012188505,0.00005548913,0.00037886013,0.94124913,0.05300699,0.000028849467,0.004233575],"study_design_scores_gemma":[0.00030636837,0.00060829456,0.0002655097,0.000318102,0.00001755267,0.000062120605,0.00012478628,0.07145844,0.9257991,0.00033185392,0.00060446153,0.000103468905],"about_ca_topic_score_codex":0.00000985784,"about_ca_topic_score_gemma":0.000016760656,"teacher_disagreement_score":0.07107958,"about_ca_system_score_codex":0.00009925394,"about_ca_system_score_gemma":0.0003180232,"threshold_uncertainty_score":0.54971415},"labels":[],"label_agreement":null},{"id":"W4393952422","doi":"10.1088/1361-6501/ad3a85","title":"Laminar separation bubble analysis by means of single–shot lifetime temperature sensitive paint in a water towing tank","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fluid Dynamics and Turbulent Flows","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 Waterloo","funders":"Deutsche Forschungsgemeinschaft","keywords":"Laminar flow; Turbulence; Towing; Reynolds number; Materials science; Mechanics; Angle of attack; Shot (pellet); Thermodynamics; Analytical Chemistry (journal); Physics; Chemistry; Marine engineering; Chromatography; Aerodynamics","score_opus":0.0091143337130793,"score_gpt":0.21109130154131933,"score_spread":0.20197696782824004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393952422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995722,0.000936293,0.001401336,0.00082322356,0.000119177865,0.00013980787,0.000006030805,0.000164655,0.0006874653],"genre_scores_gemma":[0.9997492,0.000042593587,0.00014066063,0.000013798288,0.0000073467236,0.000010222734,0.000004959363,0.0000074437517,0.000023784634],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879706,0.000012034118,0.00019122794,0.00027213394,0.0004680622,0.00025947153],"domain_scores_gemma":[0.99960774,0.000007886719,0.0000098757755,0.00014992953,0.00019544321,0.000029126984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012016429,0.00011317743,0.00018382193,0.00090586103,0.000055941266,0.000058588328,0.000112335445,0.00010231333,0.0000069531084],"category_scores_gemma":[0.00004870785,0.000087751156,0.000029246377,0.0019835,0.00017111628,0.00014889434,0.000038551196,0.00013985373,0.0000032220087],"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":[0.0000015759985,0.00001904572,0.00032553988,0.000027238591,0.00005796831,0.000009758138,0.0002981487,0.0057980507,0.99179,0.0005294997,0.00011052919,0.0010326691],"study_design_scores_gemma":[0.000100283105,0.00007390584,0.00016681476,0.00007089577,0.00006812177,0.000004450849,0.0001585466,0.504223,0.493975,0.00019271985,0.0008198524,0.00014640608],"about_ca_topic_score_codex":0.000018734794,"about_ca_topic_score_gemma":0.00011882983,"teacher_disagreement_score":0.49842495,"about_ca_system_score_codex":0.00022632351,"about_ca_system_score_gemma":0.000032343847,"threshold_uncertainty_score":0.35783884},"labels":[],"label_agreement":null},{"id":"W4394582239","doi":"10.1088/1361-6501/ad3bda","title":"A Hopular based weighting scheme for improving kinematic GNSS positioning in deep urban canyon","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Inertial Sensor and Navigation","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":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"GNSS applications; Canyon; Weighting; Scheme (mathematics); Kinematics; Computer science; Geodesy; Remote sensing; Geology; Geography; Cartography; Telecommunications; Global Positioning System; Mathematics; Acoustics","score_opus":0.010098685313117566,"score_gpt":0.2128722958650556,"score_spread":0.20277361055193804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394582239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87687624,0.0025559752,0.11684954,0.0011041816,0.00040809784,0.00062988035,0.0000017710756,0.0008296938,0.0007446427],"genre_scores_gemma":[0.9960547,0.0000023106393,0.0038258033,0.000016150885,0.000027904576,0.000059619968,0.0000010762063,0.00001028697,0.000002133752],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904597,0.000004403767,0.0001576677,0.0002027545,0.00032044787,0.00026875996],"domain_scores_gemma":[0.9997024,0.000011849215,0.0000136887875,0.0000939319,0.0001520328,0.000026083753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009808698,0.000084471765,0.000092194256,0.0005365825,0.00013094078,0.00006993917,0.0001020022,0.00006494234,0.000002201233],"category_scores_gemma":[0.0002230209,0.00007991337,0.000013607047,0.001033392,0.00008561907,0.00016552428,0.000014906797,0.00011432176,0.0000017963198],"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":[0.0000018911797,0.000006924236,0.0005288357,0.00028755312,0.0000035220478,0.0000047573594,0.00008665026,0.00069616607,0.97246706,0.0026039972,0.000020352607,0.023292288],"study_design_scores_gemma":[0.00016468136,0.000038244514,0.00016583613,0.00018498675,0.00000873344,0.0000036934355,0.00007053684,0.7981357,0.20038924,0.00055326166,0.00017973766,0.00010535489],"about_ca_topic_score_codex":0.000027070499,"about_ca_topic_score_gemma":0.0000747816,"teacher_disagreement_score":0.7974395,"about_ca_system_score_codex":0.0003051135,"about_ca_system_score_gemma":0.000056825367,"threshold_uncertainty_score":0.32587728},"labels":[],"label_agreement":null},{"id":"W4394854834","doi":"10.1088/1361-6501/ad3be1","title":"Bearing fault diagnosis method based on angular domain resampling, relative position matrix and transfer learning","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bearing (navigation); Fault (geology); Computer science; Vibration; Artificial intelligence; SIGNAL (programming language); Position (finance); Resampling; Pattern recognition (psychology); Time domain; Transfer of learning; Computer vision; Data mining; Acoustics","score_opus":0.015703662975098853,"score_gpt":0.29828138198565257,"score_spread":0.28257771901055373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394854834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55193186,0.0047843545,0.43230128,0.0044357576,0.0001813888,0.0007279384,0.00000692341,0.0035570909,0.0020734027],"genre_scores_gemma":[0.97896785,0.00018059033,0.02059576,0.000031568623,0.000014932259,0.0001802153,0.0000011001068,0.000023052786,0.0000049627242],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99838865,0.00003935628,0.00017631262,0.000443941,0.00064629584,0.000305453],"domain_scores_gemma":[0.9995218,0.00009190729,0.000011152213,0.00017434989,0.00014092679,0.00005985959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002513625,0.00017491716,0.00016783828,0.0009714436,0.00024335373,0.00012335795,0.0001591245,0.00014625976,0.000010359132],"category_scores_gemma":[0.00034885443,0.00016163105,0.000024311568,0.0011072982,0.0002369219,0.00024456863,0.00003916885,0.00045431947,0.0000037897878],"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":[0.000020882351,0.00011582651,0.016944053,0.00053053244,0.000098898025,0.00009764056,0.0010067708,0.010211712,0.6282299,0.11124546,0.00065076374,0.23084757],"study_design_scores_gemma":[0.0005771606,0.00072019553,0.003473424,0.0012948008,0.000100589095,0.000040468298,0.00027704876,0.43776634,0.5104404,0.020569924,0.023978485,0.0007611585],"about_ca_topic_score_codex":0.000018826684,"about_ca_topic_score_gemma":0.000013190206,"teacher_disagreement_score":0.42755464,"about_ca_system_score_codex":0.00027089904,"about_ca_system_score_gemma":0.000041663185,"threshold_uncertainty_score":0.6591123},"labels":[],"label_agreement":null},{"id":"W4394871017","doi":"10.1088/1361-6501/ad3fd6","title":"Integration of liquid crystal optical delay and mechanical stage optical delay for measurement of ultrafast autocorrelations and terahertz pulses","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":1,"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, Okanagan Campus; Okanagan University College; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Terahertz radiation; Optics; Optical path; Materials science; Autocorrelation; Interferometry; Ultrashort pulse; Line (geometry); Temporal resolution; Liquid crystal; Optical path length; Resolution (logic); Laser; Physics; Computer science","score_opus":0.026015219180427228,"score_gpt":0.24996386568051004,"score_spread":0.2239486465000828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394871017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.830541,0.0018696628,0.16495405,0.0006609392,0.00017511165,0.00061261415,0.000013854533,0.00018946565,0.00098328],"genre_scores_gemma":[0.99484,0.00010072762,0.0049682027,0.000007006121,0.000008939808,0.00006116338,7.418935e-7,0.000009362262,0.000003834544],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985006,0.0000075958765,0.0003144025,0.00028806995,0.0006413104,0.00024801967],"domain_scores_gemma":[0.99940276,0.000058001922,0.000024414627,0.00013071444,0.00029660107,0.00008752961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014251665,0.00013218787,0.00021293442,0.00028324462,0.00008486757,0.00004390596,0.00012585685,0.00013249426,0.0000041907597],"category_scores_gemma":[0.0005389739,0.00010589803,0.00002398158,0.00042652164,0.0006878836,0.00020479191,0.000053370044,0.00015873004,4.6858236e-7],"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":[0.00002023664,0.000035931596,0.000045153098,0.00013589361,0.00003182004,0.0000017749724,0.00007042968,0.000032510674,0.89193773,0.09258715,0.000007655217,0.015093733],"study_design_scores_gemma":[0.00046032536,0.0010330207,0.0007025805,0.00034286486,0.0001024708,0.000042426775,0.00042007907,0.22696364,0.7657778,0.0021776904,0.0017363569,0.00024074466],"about_ca_topic_score_codex":0.0000052017213,"about_ca_topic_score_gemma":0.00005686438,"teacher_disagreement_score":0.22693112,"about_ca_system_score_codex":0.00010330724,"about_ca_system_score_gemma":0.00012224486,"threshold_uncertainty_score":0.43183962},"labels":[],"label_agreement":null},{"id":"W4396571564","doi":"10.1088/1361-6501/ad4666","title":"Optimizing dynamic measurement accuracy for machine tools and industrial robots with unscented Kalman filter and particle swarm optimization methods","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":3,"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":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Kalman filter; Particle swarm optimization; Computer science; Extended Kalman filter; Robot; Control theory (sociology); Particle filter; Control engineering; Artificial intelligence; Algorithm; Engineering","score_opus":0.0744369668561728,"score_gpt":0.310790110601303,"score_spread":0.23635314374513022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396571564","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028054161,0.00734422,0.95998263,0.0020434072,0.00028458034,0.0011165263,0.0000074969253,0.0010656744,0.0001012983],"genre_scores_gemma":[0.8538634,0.00049310795,0.14534727,0.000035752808,0.000020096852,0.0002036342,0.000002452549,0.000027876991,0.00000641596],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982022,0.000028484688,0.0002494291,0.0004939027,0.0005800108,0.00044599286],"domain_scores_gemma":[0.9991542,0.000050310417,0.000042627973,0.00020249996,0.00045305406,0.000097312804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031610199,0.00023258313,0.00024918182,0.00043742763,0.00024995077,0.00015036468,0.00015498282,0.00014533581,0.0000029672217],"category_scores_gemma":[0.0007265063,0.00017426154,0.000016843094,0.00080371,0.00039781386,0.00055161194,0.00007286113,0.00023713389,2.7581268e-7],"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":[0.000070991795,0.00004178787,0.00073263026,0.00016221727,0.00011762045,0.0000054130705,0.0001631571,0.0059128087,0.50441366,0.0013049127,0.000084553125,0.48699024],"study_design_scores_gemma":[0.0020513965,0.00081056735,0.00027564436,0.0004490541,0.00022883188,0.00004648775,0.0002694309,0.4908389,0.4971803,0.0014443959,0.0057696644,0.0006353264],"about_ca_topic_score_codex":0.0000028379543,"about_ca_topic_score_gemma":0.000029602921,"teacher_disagreement_score":0.82580924,"about_ca_system_score_codex":0.00029277147,"about_ca_system_score_gemma":0.00009918769,"threshold_uncertainty_score":0.71061796},"labels":[],"label_agreement":null},{"id":"W4396946675","doi":"10.1088/1361-6501/ad4c8e","title":"Multi-scale quaternion CNN and BiGRU with cross self-attention feature fusion for fault diagnosis of bearing","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Image and Video Stabilization","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Science and Technology Planning Project of Guangdong Province; Special Project for Research and Development in Key areas of Guangdong Province; National Natural Science Foundation of China; Shenzhen Polytechnic","keywords":"Artificial intelligence; Quaternion; Bearing (navigation); Feature (linguistics); Fault (geology); Computer science; Computer vision; Fusion; Scale (ratio); Pattern recognition (psychology); Geology; Mathematics; Geography; Cartography","score_opus":0.023557072500263898,"score_gpt":0.2723777781530148,"score_spread":0.24882070565275088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396946675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63021034,0.00074880215,0.36623555,0.0020853193,0.00014369545,0.0003385843,0.0000013765518,0.00021756589,0.000018769455],"genre_scores_gemma":[0.9681355,0.00009357024,0.031658985,0.000018421575,0.000009003045,0.00006227455,5.194633e-7,0.000004533513,0.000017244512],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99870193,0.000010186891,0.00012217434,0.00045838664,0.0004998038,0.00020751738],"domain_scores_gemma":[0.9990488,0.000015876114,0.000047745427,0.000206373,0.00064777717,0.00003339238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011939742,0.00009213084,0.00010409119,0.0003803242,0.00025643042,0.0002147403,0.00026780483,0.00007415969,4.1740608e-7],"category_scores_gemma":[0.00010403319,0.00006833498,0.000013714561,0.0010527917,0.00028245625,0.0006540048,0.00015984767,0.00007461526,7.976462e-7],"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":[0.000012074291,0.00014957153,0.1763497,0.00039193142,0.000018541165,0.000004367658,0.00090279116,0.00001634892,0.6379386,0.004246783,0.00010617597,0.17986308],"study_design_scores_gemma":[0.0013380053,0.0010475077,0.08292751,0.0006208031,0.000051643343,0.00004934625,0.00034503939,0.25606698,0.6522169,0.0014166964,0.003499058,0.0004205284],"about_ca_topic_score_codex":0.000017001697,"about_ca_topic_score_gemma":0.00006115494,"teacher_disagreement_score":0.33792514,"about_ca_system_score_codex":0.00006909449,"about_ca_system_score_gemma":0.00009581318,"threshold_uncertainty_score":0.27866197},"labels":[],"label_agreement":null},{"id":"W4398132044","doi":"10.1088/1361-6501/ad4dca","title":"Underwater image enhancement via color correction and multi-feature image fusion","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"National Natural Science Foundation of China","keywords":"Artificial intelligence; Underwater; Computer vision; Feature (linguistics); Image (mathematics); Image fusion; Color correction; Computer science; Color image; Feature detection (computer vision); Image enhancement; Pattern recognition (psychology); Image processing; Geology","score_opus":0.015072708997525741,"score_gpt":0.2558000399511282,"score_spread":0.24072733095360246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398132044","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012983975,0.0010507748,0.9740752,0.008325677,0.0009697347,0.00053689745,6.055617e-7,0.0011907838,0.0008663593],"genre_scores_gemma":[0.8637732,0.0002386033,0.13521726,0.00020141237,0.000027085223,0.000118618984,6.4714555e-7,0.000012390504,0.00041072664],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972896,0.000028481341,0.00020463986,0.0009300095,0.0010518132,0.0004954714],"domain_scores_gemma":[0.998711,0.0000147550745,0.00005598821,0.00046303985,0.00067398127,0.0000812229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021445062,0.00021964476,0.00017335717,0.00080951495,0.00044147394,0.00056845014,0.0006531102,0.00012646134,0.000012584466],"category_scores_gemma":[0.00015529983,0.00017958108,0.00002096201,0.0016777657,0.00092022144,0.0013868344,0.00068899256,0.000284866,0.000039242772],"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":[0.0000022406707,0.00004328495,0.00003785322,0.000027056547,0.0000060098555,0.000018154093,0.00010908367,5.3103903e-8,0.8681185,0.0015324774,0.002423236,0.12768202],"study_design_scores_gemma":[0.00020572406,0.000296793,0.00020090221,0.000115834424,0.000011495827,0.000073449955,0.0000636934,0.057292957,0.93211573,0.0021461449,0.0072288206,0.00024843015],"about_ca_topic_score_codex":0.0000160759,"about_ca_topic_score_gemma":0.000024399209,"teacher_disagreement_score":0.85078925,"about_ca_system_score_codex":0.00038961336,"about_ca_system_score_gemma":0.00019292287,"threshold_uncertainty_score":0.7323104},"labels":[],"label_agreement":null},{"id":"W4398144664","doi":"10.1088/1361-6501/ad4dc6","title":"Modified <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>n</mml:mi> <mml:mo>+</mml:mo> <mml:mn>1</mml:mn> <mml:mo>)</mml:mo> </mml:mrow> </mml:math> D Laplacian for smooth pressure reconstruction based on time-resolved velocimetry (1): analysis and numerics","year":2024,"lang":"lv","type":"article","venue":"Measurement Science and Technology","topic":"Gas Dynamics and Kinetic Theory","field":"Mathematics","cited_by":1,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Velocimetry; Physics; Laplace operator; Mechanics; Mathematics; Mathematical analysis","score_opus":0.01984256069828992,"score_gpt":0.23888504781199338,"score_spread":0.21904248711370344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398144664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9553265,0.002404505,0.013629809,0.0018918923,0.0023224605,0.0002880517,0.0005242663,0.000716666,0.022895839],"genre_scores_gemma":[0.9890418,0.00068431627,0.0073702876,0.0006121471,0.0005693244,0.0009232834,0.0002185277,0.00040680598,0.00017351363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98942685,0.00032999733,0.0018920159,0.002627721,0.0033353202,0.0023881216],"domain_scores_gemma":[0.9939359,0.0010561844,0.0016233856,0.0019738018,0.000619587,0.0007911624],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0057598883,0.0010777725,0.0006950804,0.0017534546,0.0021717404,0.0016579381,0.0021102498,0.0024729674,0.002471483],"category_scores_gemma":[0.003001631,0.0015890468,0.0011442677,0.0033808306,0.003377689,0.0010306918,0.0012836105,0.0017705176,0.0004114145],"study_design_candidate":"theoretical_or_conceptual","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":[0.0007408799,0.00046373255,0.00003596407,0.0015155058,0.0019975982,0.00022223349,0.0008895434,0.0012494215,0.01224175,0.95703846,0.008277086,0.015327846],"study_design_scores_gemma":[0.0019127069,0.002225443,0.000067433706,0.0013607729,0.003990249,0.0005819266,0.002172485,0.65540975,0.31492013,0.012311578,0.0034087372,0.0016387581],"about_ca_topic_score_codex":0.00048486545,"about_ca_topic_score_gemma":0.0005496619,"teacher_disagreement_score":0.9447269,"about_ca_system_score_codex":0.00008419885,"about_ca_system_score_gemma":0.0015735313,"threshold_uncertainty_score":0.99937844},"labels":[],"label_agreement":null},{"id":"W4400970020","doi":"10.1088/1361-6501/ad678c","title":"Investigation of operational settings, environmental conditions, and faults on the gas turbine performance","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Combustion and flame dynamics","field":"Engineering","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":"University of Manitoba","funders":"","keywords":"Gas turbines; Environmental science; Reliability engineering; Computer science; Process engineering; Petroleum engineering; Mechanical engineering; Geology; Engineering","score_opus":0.012626940035227739,"score_gpt":0.1895458385742228,"score_spread":0.17691889853899506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400970020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99630266,0.0002481314,0.00007746043,0.0029176762,0.00006562913,0.00007830697,0.000004774521,0.00006862171,0.00023670764],"genre_scores_gemma":[0.9997445,0.00012363202,0.000053652744,0.000052250718,0.000005637785,0.00000985554,0.0000020278896,0.0000025242527,0.0000059723434],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994884,0.0000033267872,0.000072769966,0.0000955608,0.00027073247,0.0000691845],"domain_scores_gemma":[0.9998734,0.000009054801,0.0000074887994,0.00006471685,0.000030268662,0.000015096459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004381609,0.00004484545,0.000035959227,0.00014026636,0.00010662753,0.000017855098,0.000059504608,0.00002480002,0.00000964422],"category_scores_gemma":[0.00003633072,0.000032613847,0.0000037165544,0.00023633323,0.00045499785,0.0000867315,0.000019762378,0.000080858794,0.0000038486955],"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":[0.000002302983,0.000010349842,0.011991116,0.00008365446,0.000016501433,0.0000011704734,0.00026198803,0.00073096296,0.88961047,0.073008,0.00096642185,0.023317086],"study_design_scores_gemma":[0.00021906635,0.00016736156,0.047285967,0.00020889124,0.000015686981,0.000036680707,0.0004756203,0.7461066,0.19897747,0.0026720224,0.00364778,0.00018681763],"about_ca_topic_score_codex":3.7873292e-7,"about_ca_topic_score_gemma":0.000001110898,"teacher_disagreement_score":0.7453757,"about_ca_system_score_codex":0.00006188332,"about_ca_system_score_gemma":0.000024452225,"threshold_uncertainty_score":0.16764586},"labels":[],"label_agreement":null},{"id":"W4402841686","doi":"10.1088/1361-6501/ad7f78","title":"Simple and efficient step detection algorithm for foot-mounted IMU","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Mechanical Engineering and Vibrations 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":"Queen's University","funders":"","keywords":"Simple (philosophy); Inertial measurement unit; Computer science; Foot (prosody); Algorithm; SIMPLE algorithm; Step detection; Artificial intelligence; Computer vision; Physics","score_opus":0.02076875237379447,"score_gpt":0.268427690421687,"score_spread":0.24765893804789255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402841686","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03575136,0.0012833076,0.9615791,0.00019929104,0.00021380726,0.0002548545,0.000003975446,0.000605938,0.00010840262],"genre_scores_gemma":[0.9974581,0.000037109538,0.0023855956,0.000003328137,0.000018934557,0.00008026166,3.5985428e-7,0.000008709341,0.0000076168535],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910253,0.0000029004225,0.00009151146,0.0002091226,0.00035869482,0.00023523967],"domain_scores_gemma":[0.9996335,0.000017524791,0.0000038386756,0.000105943946,0.00018706899,0.00005213677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091323286,0.00007061499,0.000071233204,0.00042286198,0.00014325335,0.000085109335,0.00009015302,0.00006112316,0.0000026297214],"category_scores_gemma":[0.00018443387,0.00006150699,0.000009372928,0.000876201,0.00012624911,0.000058566537,0.000034872013,0.00011103293,0.0000030900662],"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":[7.161211e-7,0.000006327127,0.0000017377442,0.00006194389,0.000008891053,8.982794e-7,0.000010881408,0.0006289711,0.28565043,0.0028159758,0.00007054535,0.71074265],"study_design_scores_gemma":[0.00008796567,0.00008014425,0.000015063716,0.000017112452,0.000004552394,0.0000065558706,0.000038406437,0.89057416,0.10167944,0.00043937785,0.006992357,0.00006488157],"about_ca_topic_score_codex":0.0000033493045,"about_ca_topic_score_gemma":0.0000075526004,"teacher_disagreement_score":0.9617067,"about_ca_system_score_codex":0.00011825931,"about_ca_system_score_gemma":0.000039728548,"threshold_uncertainty_score":0.25081822},"labels":[],"label_agreement":null},{"id":"W4403222660","doi":"10.1088/1361-6501/ad8474","title":"Algorithm for extracting the normal cross-section parameters of multiple ball screw shaft ball tracks based on an optical micrometer measurement system","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Iterative Learning Control Systems","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":"Ball (mathematics); Ball screw; Micrometer; Optics; Materials science; Geometry; Physics; Acoustics; Mathematics","score_opus":0.02859757825966855,"score_gpt":0.2562784856724883,"score_spread":0.22768090741281974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403222660","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37640348,0.0008919161,0.6171044,0.0004589752,0.0018770536,0.0016514352,0.000017461949,0.0009553966,0.0006398753],"genre_scores_gemma":[0.99249536,0.0000011916921,0.0072159893,0.000017946128,0.000068253445,0.0001717475,9.586664e-7,0.000024021962,0.000004527596],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99747974,0.000052518542,0.00037901753,0.00044341746,0.0012022981,0.0004430384],"domain_scores_gemma":[0.99867624,0.00010619203,0.00006141438,0.00030876347,0.0007836548,0.00006375523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006372754,0.00019999688,0.0002364677,0.0005082501,0.00029540175,0.00026440175,0.00033994968,0.00014524221,0.0000021153035],"category_scores_gemma":[0.00054438255,0.00014793374,0.000058565172,0.00066519773,0.0003707738,0.00028795388,0.000025255009,0.00031940505,0.000003748848],"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":[0.0000326939,0.000069248556,0.0017721375,0.0004222402,0.00008169988,0.000007211971,0.00020588396,0.007146208,0.8413773,0.00047591064,0.000038673592,0.14837077],"study_design_scores_gemma":[0.000541953,0.00043841812,0.0017133844,0.0003346354,0.000032791166,0.000021312731,0.00025520648,0.89796275,0.09747947,0.0000117306745,0.0010264362,0.0001819159],"about_ca_topic_score_codex":0.000014248993,"about_ca_topic_score_gemma":0.000025111254,"teacher_disagreement_score":0.8908165,"about_ca_system_score_codex":0.0006319062,"about_ca_system_score_gemma":0.000112806774,"threshold_uncertainty_score":0.6032563},"labels":[],"label_agreement":null},{"id":"W4403628660","doi":"10.1088/1361-6501/ad89e6","title":"QuSpin zero-field magnetometer characterization for the TUCAN experiment","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","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 Winnipeg; University of British Columbia; TRIUMF","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Magnetometer; Characterization (materials science); Zero (linguistics); Field (mathematics); Physics; Magnetic field; Mathematics; Optics; Quantum mechanics; Pure mathematics; Philosophy","score_opus":0.033064042143537954,"score_gpt":0.30462081381518064,"score_spread":0.27155677167164266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403628660","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3359127,0.0008922252,0.6383251,0.017838614,0.0006881872,0.0011952571,0.000016188824,0.00017937037,0.0049523325],"genre_scores_gemma":[0.99940705,0.000009797701,0.000057413046,0.00005992033,0.00006887131,0.0002043811,0.0000014935167,0.000006198782,0.0001848639],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99892575,0.0000061770593,0.000100753336,0.0002596275,0.00044891253,0.00025877016],"domain_scores_gemma":[0.99949837,0.000028753106,0.00001798902,0.00018053388,0.00024047359,0.00003388779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008648329,0.00007804729,0.000077245466,0.00017163205,0.00029215388,0.00015172143,0.00026288597,0.000025036625,0.0000458999],"category_scores_gemma":[0.000028874636,0.00005130297,0.000022973976,0.00059269165,0.0002811701,0.0001569582,0.0000922498,0.00010272966,0.000012386985],"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":[0.000003628912,0.000018122844,0.00066682376,0.000007175454,0.000017715132,2.1816284e-7,0.00013085642,1.7566069e-7,0.40949702,0.13317312,0.00058630534,0.45589882],"study_design_scores_gemma":[0.00039669382,0.00017225723,0.00049845554,0.00006169758,0.00003430779,0.0000021988262,0.0014136281,0.046687897,0.7819886,0.04984485,0.118608765,0.0002906212],"about_ca_topic_score_codex":0.000022437014,"about_ca_topic_score_gemma":8.173656e-7,"teacher_disagreement_score":0.66349435,"about_ca_system_score_codex":0.00008936342,"about_ca_system_score_gemma":0.0003365999,"threshold_uncertainty_score":0.2247041},"labels":[],"label_agreement":null},{"id":"W4403822384","doi":"10.1088/1361-6501/ad8bec","title":"An FBG-based method for load measurement of a cylindrical rolling element bearing","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Tribology and Lubrication Engineering","field":"Engineering","cited_by":4,"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 Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Bearing (navigation); Element (criminal law); Rolling-element bearing; Materials science; Load bearing; Acoustics; Structural engineering; Computer science; Composite material; Physics; Engineering; Vibration","score_opus":0.030403729862134212,"score_gpt":0.275654639222219,"score_spread":0.24525090936008478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403822384","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012508698,0.0025294987,0.9829582,0.00054006226,0.00028868794,0.0003280581,0.0000030505971,0.0006158104,0.00022794296],"genre_scores_gemma":[0.9643517,0.000016210659,0.035465404,0.00001351518,0.000023620261,0.000113224916,5.12893e-7,0.000014698192,0.0000010834742],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99814004,0.000011117136,0.0002663364,0.00033217302,0.00091412745,0.00033620343],"domain_scores_gemma":[0.9989071,0.00002585715,0.000023283004,0.0002441676,0.00073272176,0.000066888926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004473149,0.00013355709,0.00018052706,0.00058188493,0.00011313813,0.00003378399,0.0002674888,0.000104415965,0.000004629778],"category_scores_gemma":[0.00029144555,0.0001263744,0.000029862938,0.0010148025,0.00015626852,0.00013955904,0.000022130713,0.00015745054,0.0000018737239],"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":[0.000008026005,0.000047972277,0.0003136901,0.00024637283,0.00004787243,0.000001821607,0.00008847411,0.03707803,0.87028384,0.010291614,0.0000620689,0.08153019],"study_design_scores_gemma":[0.00026224484,0.00013729959,0.0002829812,0.00008425975,0.000033384353,0.000003925084,0.000056212048,0.6374215,0.35543033,0.00068342936,0.0054603345,0.00014407032],"about_ca_topic_score_codex":0.0000046043174,"about_ca_topic_score_gemma":0.000014298801,"teacher_disagreement_score":0.951843,"about_ca_system_score_codex":0.00048083384,"about_ca_system_score_gemma":0.00029347168,"threshold_uncertainty_score":0.51533985},"labels":[],"label_agreement":null},{"id":"W4404130194","doi":"10.1088/1361-6501/ad8fc3","title":"A firefly-based particle filter technique for system state estimation and battery RUL prediction","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Firefly protocol; Particle filter; Firefly algorithm; Particle (ecology); Battery (electricity); State (computer science); Estimation; Computer science; Control theory (sociology); Filter (signal processing); Algorithm; Engineering; Physics; Artificial intelligence; Particle swarm optimization; Computer vision; Power (physics); Systems engineering; Thermodynamics","score_opus":0.028592079676821185,"score_gpt":0.26455647742017113,"score_spread":0.23596439774334996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404130194","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13850631,0.00069519645,0.8554593,0.0015268793,0.00015397654,0.00089431164,0.000019538778,0.0026621837,0.000082326376],"genre_scores_gemma":[0.9919487,0.000020814603,0.007276569,0.000009954695,0.00000568277,0.00071833027,9.203281e-7,0.000013995071,0.0000050180865],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987877,0.0000058101923,0.00015453715,0.0003047107,0.00042007153,0.00032717825],"domain_scores_gemma":[0.9995179,0.000026098609,0.000012784109,0.00020888113,0.00019718673,0.000037114307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010747784,0.000106117164,0.00010139105,0.00047168965,0.00014919578,0.00008943721,0.00015795846,0.000084923246,0.0000015514904],"category_scores_gemma":[0.00019956364,0.00009373333,0.000009798218,0.0008237541,0.0004167912,0.00027601988,0.00005960747,0.00014404677,0.0000039500223],"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":[0.000006485092,0.000010515606,0.00057634694,0.000677108,0.000012431343,0.000006995867,0.000024350777,0.0016485776,0.8636885,0.001430336,0.0003421578,0.13157618],"study_design_scores_gemma":[0.00010923307,0.00009996523,0.00014079685,0.00014567949,0.000005523052,0.000014538373,0.000050849325,0.5154318,0.48161033,0.0015150834,0.0007970573,0.000079095145],"about_ca_topic_score_codex":0.0000011949965,"about_ca_topic_score_gemma":0.0000025810887,"teacher_disagreement_score":0.85344243,"about_ca_system_score_codex":0.00037232792,"about_ca_system_score_gemma":0.00006407626,"threshold_uncertainty_score":0.3822334},"labels":[],"label_agreement":null},{"id":"W4404171000","doi":"10.1088/1361-6501/ad9045","title":"A transfer learning model for rolling bearing fault diagnosis based on texture loss strategy and nuclear norm regularization","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Gear and Bearing Dynamics Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Education Department of Jilin Province","keywords":"Regularization (linguistics); Norm (philosophy); Computer science; Transfer of learning; Artificial intelligence; Applied mathematics; Mathematical optimization; Mathematics; Philosophy","score_opus":0.016649530247343988,"score_gpt":0.21159303491900852,"score_spread":0.19494350467166455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404171000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5377875,0.0007337653,0.45813113,0.0013338628,0.00009119085,0.00032958464,0.0000053670046,0.0007669358,0.00082068215],"genre_scores_gemma":[0.9991241,0.00007691624,0.0007046068,0.000017818413,0.000009224771,0.000028116217,0.0000012110514,0.000017456443,0.0000205585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902594,0.0000035811127,0.00010735263,0.00028790528,0.00035354565,0.00022166967],"domain_scores_gemma":[0.9996966,0.000011776537,0.0000063480047,0.00010161776,0.0001453833,0.000038239006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006560854,0.00010643013,0.000111044166,0.00047074846,0.00023431088,0.00015756807,0.00010384384,0.000100554535,0.0000021634419],"category_scores_gemma":[0.0000673059,0.000097053584,0.000023816374,0.0006626349,0.00012298212,0.00014046123,0.000015828275,0.00018904738,0.0000011174557],"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":[0.0000039988504,0.0000139418125,0.0006615421,0.00012574761,0.000027106114,0.000002360693,0.00012485936,0.8964948,0.04437198,0.014044175,0.000008984957,0.044120472],"study_design_scores_gemma":[0.00012219418,0.00006663303,0.00006588139,0.0000785611,0.0000412163,0.0000014255423,0.00006504159,0.9962094,0.0016349376,0.0011461279,0.00045641963,0.0001121621],"about_ca_topic_score_codex":0.0000044456233,"about_ca_topic_score_gemma":0.000016586853,"teacher_disagreement_score":0.4613366,"about_ca_system_score_codex":0.00009538888,"about_ca_system_score_gemma":0.00003964997,"threshold_uncertainty_score":0.39577302},"labels":[],"label_agreement":null},{"id":"W4404471209","doi":"10.1088/1361-6501/ad93f1","title":"Calibration-free thickness and temperature measurement of oil films using broadband near-infrared absorption spectroscopy","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","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":"University of Waterloo","funders":"Deutsche Forschungsgemeinschaft; Alexander von Humboldt-Stiftung","keywords":"Materials science; Calibration; Broadband; Absorption (acoustics); Spectroscopy; Infrared spectroscopy; Infrared; Near-infrared spectroscopy; Analytical Chemistry (journal); Optics; Optoelectronics; Composite material; Chemistry; Physics; Chromatography","score_opus":0.02519457929433299,"score_gpt":0.2631756467431976,"score_spread":0.2379810674488646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404471209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98144025,0.0128806485,0.0007244758,0.0012682322,0.00014989567,0.00007693112,0.000013890978,0.00024227079,0.003203404],"genre_scores_gemma":[0.9980988,0.00025758115,0.0014646243,0.00002358342,0.00003151688,0.000012291363,0.0000012280551,0.000012315177,0.000098074124],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973777,0.000009422144,0.00027773273,0.0005363764,0.0014739394,0.00032485093],"domain_scores_gemma":[0.9987312,0.000014995112,0.000084892556,0.00040912058,0.000685203,0.000074603246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011851914,0.00018853588,0.00025847394,0.0004917476,0.00034119477,0.00022964452,0.00034374063,0.00020386053,0.0001139732],"category_scores_gemma":[0.00064387,0.00015996776,0.00003093876,0.0021465,0.0010237428,0.00030634558,0.00014092596,0.00027233784,0.0000010869218],"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":[0.000009467007,0.000034214598,0.0021121872,0.00021776874,0.00004330388,0.0000035657406,0.000072814706,0.000005388893,0.99527246,0.0010453351,0.00028310096,0.0009004214],"study_design_scores_gemma":[0.0003009457,0.000051974068,0.00023259682,0.00018249365,0.00012552866,0.00003643742,0.0004729353,0.0035060763,0.99290144,0.0015959744,0.00040848317,0.00018511302],"about_ca_topic_score_codex":0.000048856666,"about_ca_topic_score_gemma":0.000023789955,"teacher_disagreement_score":0.016658535,"about_ca_system_score_codex":0.00027655865,"about_ca_system_score_gemma":0.0005696654,"threshold_uncertainty_score":0.6523296},"labels":[],"label_agreement":null},{"id":"W4404862542","doi":"10.1088/1361-6501/ad9510","title":"Intensity-varied interferometric autocorrelations for characterisations of optical nonlinearity","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":0,"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, Okanagan Campus","funders":"Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Interferometry; Intensity (physics); Optics; Nonlinear system; Materials science; Nonlinear optical; Physics; Quantum mechanics","score_opus":0.03444930867312457,"score_gpt":0.2585245180924809,"score_spread":0.22407520941935632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404862542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8037692,0.0014905443,0.17599085,0.0037824546,0.0013785308,0.0009567266,0.000028744424,0.0012050415,0.011397949],"genre_scores_gemma":[0.997281,0.000021584627,0.0026270738,0.000009992444,0.000010200676,0.00003875925,8.791249e-7,0.00000446691,0.0000060519446],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992934,0.0000014855079,0.00014515426,0.00014815934,0.00025653967,0.00015529936],"domain_scores_gemma":[0.99941057,0.000031591935,0.000009160852,0.00010909866,0.0004036285,0.000035974663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006623242,0.00005912537,0.000108444634,0.00060538383,0.00007052465,0.00003475112,0.00013168067,0.00006346728,0.000006095386],"category_scores_gemma":[0.000559888,0.000050867715,0.000016759454,0.0015030559,0.0003850925,0.00013337673,0.000041423486,0.000117937474,0.000005343292],"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":[0.000008900993,0.00009387901,0.0011275384,0.000335014,0.00007731342,0.0000025979962,0.00019781124,0.00007797492,0.50369614,0.4214285,0.00020837077,0.07274594],"study_design_scores_gemma":[0.00024599786,0.0002549784,0.014167456,0.00016467442,0.000072006085,0.000019321693,0.00020060479,0.8332446,0.12734585,0.0135781,0.010468961,0.00023740924],"about_ca_topic_score_codex":0.0000016000931,"about_ca_topic_score_gemma":0.0000050974527,"teacher_disagreement_score":0.83316666,"about_ca_system_score_codex":0.00009245011,"about_ca_system_score_gemma":0.0000921455,"threshold_uncertainty_score":0.20743252},"labels":[],"label_agreement":null},{"id":"W4405176659","doi":"10.1088/1361-6501/ad9bd0","title":"Fault diagnosis of rolling bearing with variable working conditions in noisy environment based on dynamic soft threshold and attention mechanism","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Beijing Municipal Natural Science Foundation; National Natural Science Foundation of China","keywords":"Computer science; Thresholding; Robustness (evolution); Bearing (navigation); Artificial intelligence; Noise (video); Fault (geology); Time domain; Pattern recognition (psychology); Computer vision","score_opus":0.011787366257058748,"score_gpt":0.22986466405373612,"score_spread":0.21807729779667737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405176659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94823366,0.0008032999,0.048582286,0.0005586622,0.00008084732,0.00051607325,0.000005109156,0.0005794495,0.000640591],"genre_scores_gemma":[0.99638027,0.0001656122,0.0031836135,0.00001551859,0.000003321914,0.0002347588,0.0000012029523,0.000014376431,0.0000013262536],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987578,0.000006753728,0.00017163099,0.00032053376,0.0005091774,0.00023415107],"domain_scores_gemma":[0.99969333,0.00003273424,0.000023625813,0.00017795121,0.00004116264,0.00003117858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096485927,0.00012966938,0.00014586106,0.0008420823,0.00009302866,0.000047393107,0.00013482221,0.00008218576,0.000008225954],"category_scores_gemma":[0.000052856878,0.00011673407,0.000010286076,0.0007652884,0.00020821873,0.00012768821,0.000046314206,0.00020756427,0.0000011299065],"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":[0.0000137328325,0.00029878196,0.17150748,0.0005686266,0.00006584311,0.000042721174,0.00016145513,0.053697284,0.68864983,0.049159475,0.000054462118,0.03578033],"study_design_scores_gemma":[0.00036073374,0.000263849,0.005614401,0.0016015846,0.000038857568,0.000006327972,0.000082062295,0.88116795,0.10183322,0.008498505,0.0002556092,0.000276914],"about_ca_topic_score_codex":0.00001614415,"about_ca_topic_score_gemma":0.000042760825,"teacher_disagreement_score":0.82747066,"about_ca_system_score_codex":0.0002587013,"about_ca_system_score_gemma":0.00003396584,"threshold_uncertainty_score":0.4760277},"labels":[],"label_agreement":null},{"id":"W4405587476","doi":"10.1088/1361-6501/ada178","title":"Advancing machine fault diagnosis: a detailed examination of convolutional neural networks","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":42,"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 Ottawa","funders":"","keywords":"Convolutional neural network; Computer science; Fault (geology); Artificial intelligence; Artificial neural network; Machine learning; Geology; Seismology","score_opus":0.009878361562521962,"score_gpt":0.2133160419905766,"score_spread":0.20343768042805466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405587476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9351892,0.021019798,0.03855425,0.000832449,0.0016264197,0.00042909847,0.0000039648257,0.0011787792,0.0011660724],"genre_scores_gemma":[0.9997649,0.00007520203,0.0000388827,0.000008097491,0.000022753855,0.00007862721,3.0614729e-7,0.000005899569,0.000005292889],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901515,0.000010819398,0.00016145933,0.00016638514,0.00045895542,0.00018721663],"domain_scores_gemma":[0.99961674,0.00001492572,0.000017001174,0.000093946,0.00022574203,0.000031654552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010282063,0.00007606605,0.000104681334,0.00039329566,0.00007695761,0.000029467947,0.00010808837,0.00005907856,0.000007898275],"category_scores_gemma":[0.0001594817,0.00006694549,0.000014948933,0.0009296396,0.00018708986,0.0001538441,0.000020856716,0.000115549854,0.0000023658795],"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":[0.0000066123225,0.000045580182,0.010982318,0.00021500731,0.00006973183,0.000011694842,0.00013260961,0.021896932,0.27302942,0.007107896,0.00031628157,0.6861859],"study_design_scores_gemma":[0.00015331079,0.000055922756,0.003585876,0.000057849706,0.00000992143,0.000015979162,0.000080491634,0.9882989,0.0058983113,0.00007988329,0.0016884443,0.000075098105],"about_ca_topic_score_codex":0.0000058107407,"about_ca_topic_score_gemma":0.00006712307,"teacher_disagreement_score":0.966402,"about_ca_system_score_codex":0.00015618665,"about_ca_system_score_gemma":0.00002986067,"threshold_uncertainty_score":0.2729958},"labels":[],"label_agreement":null},{"id":"W4406206538","doi":"10.1088/1361-6501/ada821","title":"Looseness detection system of bolted joints using a VMD-based nonlinear transformation approach with deep residual network","year":2025,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Measurement and Detection Methods","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":"University of Alberta","funders":"Ministry of Trade, Industry and Energy","keywords":"Hilbert–Huang transform; Residual; Spectrogram; Nonlinear system; Transformation (genetics); Vibration; Mode (computer interface); Bolted joint; Computer science; Artificial neural network; Structural engineering; Artificial intelligence; Acoustics; Materials science; Engineering; Algorithm; Computer vision; Finite element method; Physics","score_opus":0.02212055459474572,"score_gpt":0.24034647272244497,"score_spread":0.21822591812769926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406206538","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12988941,0.00026922676,0.8680324,0.000021314901,0.00016821976,0.00031018985,5.2488525e-7,0.00031941122,0.0009892965],"genre_scores_gemma":[0.93159384,0.000004694147,0.06834318,0.0000056712015,0.000016079552,0.00002691403,3.8038226e-7,0.000008106841,0.0000011516835],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985528,0.000029602683,0.0002622387,0.00022240027,0.00066203054,0.00027095719],"domain_scores_gemma":[0.9990177,0.000008835951,0.00006239838,0.00019607172,0.00068278523,0.000032211643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019679694,0.0001326516,0.00020207667,0.000665355,0.0002489398,0.00002106219,0.00013043964,0.000104350875,4.7597834e-7],"category_scores_gemma":[0.00008251855,0.000115703595,0.000015351989,0.0026211562,0.00028023485,0.00018660443,0.000012811121,0.00013979939,2.438691e-7],"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":[0.00007192401,0.000030549323,0.0006518953,0.00047968805,0.000031606152,6.5937866e-7,0.00004242742,0.1195937,0.83776325,0.00057805155,0.0000010559512,0.040755216],"study_design_scores_gemma":[0.0005561917,0.00006825626,0.000239821,0.00015145051,0.00003760028,0.0000063671423,0.0003515955,0.35500568,0.64328986,0.00009711335,0.000089312445,0.000106747],"about_ca_topic_score_codex":0.0000041393105,"about_ca_topic_score_gemma":0.000033135428,"teacher_disagreement_score":0.8017044,"about_ca_system_score_codex":0.00033098613,"about_ca_system_score_gemma":0.00013726595,"threshold_uncertainty_score":0.47182557},"labels":[],"label_agreement":null},{"id":"W4406411588","doi":"10.1088/1361-6501/adaa90","title":"Advanced framework for intelligent fault diagnosis in rotary machinery with out-of-distribution recognition","year":2025,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Young Scientists Fund; Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Fault (geology); Computer science; Distribution (mathematics); Artificial intelligence; Mathematics; Geology; Mathematical analysis","score_opus":0.01965719718654406,"score_gpt":0.25197687001700775,"score_spread":0.23231967283046367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406411588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5918968,0.001524031,0.40221363,0.0013698922,0.0009086059,0.0011677757,0.00001967598,0.00034197586,0.0005576591],"genre_scores_gemma":[0.9985079,0.000084237065,0.0009621852,0.000018162911,0.0000058167675,0.00041419215,0.000001715139,0.000003477307,0.0000023084517],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99926674,0.000006513656,0.00016980947,0.0001667695,0.00022751985,0.00016266775],"domain_scores_gemma":[0.9995507,0.000022641345,0.000027914659,0.000113368485,0.00026780472,0.000017567263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059765007,0.000075296244,0.00012853417,0.00031694208,0.00006036835,0.000011795638,0.0001000049,0.00008014804,0.0000015149462],"category_scores_gemma":[0.0003607693,0.00006499993,0.000011901244,0.0008887271,0.0001290826,0.00007698413,0.000013226282,0.000105237305,0.0000010279931],"study_design_candidate":"design_other","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":[0.00006782522,0.000074853015,0.0093069505,0.00017981714,0.0000308274,0.0000010941611,0.00007526274,0.001102911,0.035252783,0.0047302847,0.00012722917,0.9490502],"study_design_scores_gemma":[0.0028731422,0.000978358,0.005988757,0.0023269618,0.00007338073,0.0000063457173,0.002771967,0.07547279,0.8337852,0.044630487,0.030408835,0.0006837866],"about_ca_topic_score_codex":0.000009870017,"about_ca_topic_score_gemma":0.00016612408,"teacher_disagreement_score":0.9483664,"about_ca_system_score_codex":0.00019737108,"about_ca_system_score_gemma":0.000042531272,"threshold_uncertainty_score":0.265062},"labels":[],"label_agreement":null},{"id":"W4407090634","doi":"10.1088/1361-6501/adb170","title":"A non-rigid automatic registration method of multi-temporal mobile laser scanning point clouds based on road short marking features","year":2025,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","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":"Ministry of Transportation of Ontario","funders":"National Natural Science Foundation of China","keywords":"Point cloud; Laser scanning; Computer science; Point (geometry); Computer vision; Artificial intelligence; Mobile mapping; Laser; Remote sensing; Optics; Geology; Mathematics; Geometry; Physics","score_opus":0.018034885493396192,"score_gpt":0.2866966930706937,"score_spread":0.26866180757729746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407090634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8208039,0.00008311625,0.14323463,0.0039017205,0.00021040518,0.001456223,0.0000029861997,0.0003086269,0.029998446],"genre_scores_gemma":[0.95905113,0.000001730179,0.04074248,0.00010721298,0.0000032821233,0.000024408531,8.898809e-7,0.0000043986215,0.00006444847],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983506,0.000028517296,0.00022849259,0.00042587853,0.0007335516,0.00023293603],"domain_scores_gemma":[0.9993426,0.000017054917,0.00008763897,0.00041227168,0.00009887628,0.00004153474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024554078,0.00011805146,0.00015704411,0.0002825482,0.00031388312,0.000036446305,0.00028110534,0.000088028355,0.000013484399],"category_scores_gemma":[0.00021073407,0.00010142982,0.000025719093,0.0011180176,0.0006929146,0.00008751739,0.00009004053,0.00014120084,0.000005993152],"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":[0.000016965421,0.00023395996,0.027308902,0.00003521638,0.000011527505,0.0000026989767,0.00013820526,0.0020450517,0.479784,0.0007035486,0.0007536048,0.48896632],"study_design_scores_gemma":[0.0005992856,0.0003667775,0.14747219,0.00028874696,0.000044903307,0.000012014012,0.00064041564,0.39348936,0.4533405,0.0010353472,0.0024005498,0.00030991237],"about_ca_topic_score_codex":0.00028692282,"about_ca_topic_score_gemma":0.00015414532,"teacher_disagreement_score":0.4886564,"about_ca_system_score_codex":0.00027871225,"about_ca_system_score_gemma":0.00013380336,"threshold_uncertainty_score":0.4136188},"labels":[],"label_agreement":null},{"id":"W4407154776","doi":"10.1088/1361-6501/adb203","title":"Urban power line extraction from mobile LiDAR point clouds based on local line-plane seperation model and global refinement","year":2025,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Line (geometry); Lidar; Plane (geometry); Point cloud; Computer science; Power (physics); Extraction (chemistry); Point (geometry); Remote sensing; Artificial intelligence; Geology; Geometry; Physics; Mathematics","score_opus":0.011287750949519844,"score_gpt":0.24709528640566036,"score_spread":0.23580753545614053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407154776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8628213,0.00011924903,0.11910416,0.0073710512,0.00013379099,0.0004657931,0.000012576993,0.00016698764,0.009805112],"genre_scores_gemma":[0.99659854,0.000013325268,0.0028430452,0.0004538543,0.000009210847,0.000016421107,0.000004133613,0.0000034690752,0.000057975776],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838394,0.000016292759,0.00018593075,0.00052785914,0.00066312053,0.00022284046],"domain_scores_gemma":[0.9994458,0.000010802066,0.000053266882,0.00033664991,0.00008963253,0.00006385681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007662909,0.00012899899,0.00011507597,0.00011315803,0.00036443977,0.00005356367,0.000156724,0.00010800353,0.000030474243],"category_scores_gemma":[0.00008356367,0.00011278144,0.000013198575,0.0007371805,0.0006833416,0.00010002807,0.00009078563,0.00013528386,0.000021749507],"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":[0.000083049745,0.0005301606,0.008403107,0.000009396544,0.000014611742,0.0000048550296,0.00011861808,0.025701514,0.69155824,0.0042257803,0.0035907158,0.26575994],"study_design_scores_gemma":[0.0011678406,0.00081996893,0.014173772,0.000088920126,0.00005243501,0.0000092654545,0.0004511779,0.83889455,0.12039204,0.006760155,0.016783545,0.0004063457],"about_ca_topic_score_codex":0.00022677582,"about_ca_topic_score_gemma":0.00024670715,"teacher_disagreement_score":0.813193,"about_ca_system_score_codex":0.0005887588,"about_ca_system_score_gemma":0.00010056218,"threshold_uncertainty_score":0.45990935},"labels":[],"label_agreement":null},{"id":"W4409286587","doi":"10.1088/1361-6501/adcadc","title":"Clustering-guided prototypical contrastive learning for bearing fault diagnosis under variable working conditions","year":2025,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Key Research and Development Projects of Shaanxi Province; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Cluster analysis; Variable (mathematics); Fault (geology); Bearing (navigation); Computer science; Artificial intelligence; Pattern recognition (psychology); Machine learning; Mathematics; Geology; Seismology","score_opus":0.027283329524641988,"score_gpt":0.26165518092127366,"score_spread":0.23437185139663166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409286587","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14309382,0.0009757361,0.83278143,0.0026314398,0.0015974011,0.0037167368,0.0000036620195,0.0021534194,0.013046328],"genre_scores_gemma":[0.99796784,0.000011459339,0.00044029776,0.00005457054,0.000019873758,0.0014395432,4.052238e-7,0.000008033831,0.00005799389],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989128,0.000011913784,0.00019681995,0.00025746482,0.0002925471,0.00032846176],"domain_scores_gemma":[0.9994194,0.00004322956,0.000027822798,0.00011638376,0.0003520941,0.000041106265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091567164,0.00011038122,0.0001676122,0.00041410836,0.0004814296,0.000087122906,0.00015861863,0.000109164,0.000005659072],"category_scores_gemma":[0.0005539633,0.00010852166,0.000019413048,0.00095075805,0.0002222936,0.00009666822,0.000044500426,0.00018741642,0.0000024970805],"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":[0.00005184134,0.00011370198,0.022839112,0.0003479696,0.0003003828,0.0000030444396,0.00017649542,0.09436356,0.7335165,0.08617424,0.0014360691,0.060677033],"study_design_scores_gemma":[0.0028715967,0.00024152857,0.0036698652,0.0006920541,0.000088275636,0.000019936151,0.0016020925,0.8399708,0.078675695,0.0071455836,0.06448464,0.0005379315],"about_ca_topic_score_codex":0.000011400891,"about_ca_topic_score_gemma":0.000036612604,"teacher_disagreement_score":0.854874,"about_ca_system_score_codex":0.0002845238,"about_ca_system_score_gemma":0.00009129431,"threshold_uncertainty_score":0.44253847},"labels":[],"label_agreement":null},{"id":"W4409741149","doi":"10.1088/1361-6501/add033","title":"Utility of ammonium salts for the calibration of NH<sub>3</sub> sensors","year":2025,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":1,"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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Calibration; Ammonium; Environmental science; Computer science; Analytical Chemistry (journal); Materials science; Environmental chemistry; Process engineering; Chemistry; Mathematics; Statistics; Organic chemistry; Engineering","score_opus":0.018614980128612395,"score_gpt":0.22971781936736568,"score_spread":0.21110283923875328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409741149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97303385,0.0006298483,0.024255961,0.0011789772,0.00009873434,0.00031002852,0.0000041295384,0.00029041167,0.00019805925],"genre_scores_gemma":[0.9993099,0.00009662261,0.0005567716,0.000006472055,0.0000024471783,0.00002277992,1.4573598e-7,0.0000035886035,0.0000013034195],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99916255,0.0000030795584,0.00019355994,0.00016294913,0.0002921399,0.00018574011],"domain_scores_gemma":[0.9992534,0.000049165956,0.000044034645,0.00028505063,0.0003572685,0.000011067304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035044935,0.000077247554,0.00013758095,0.00020739376,0.0000773136,0.0000051342713,0.00028470365,0.00009995099,4.192774e-7],"category_scores_gemma":[0.0009658638,0.000057469966,0.000017686156,0.0010102222,0.0010985987,0.0000694553,0.000066087705,0.00009629456,1.1233859e-7],"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":[0.000007230771,0.000009099135,0.00060732104,0.000054128664,0.000008494225,5.545292e-8,0.0000072618013,0.00018100334,0.96639115,0.0037627784,0.00009410568,0.028877392],"study_design_scores_gemma":[0.0001152478,0.000022687105,0.00051431643,0.000023360439,0.000011241312,4.3470544e-7,0.00014989001,0.014902687,0.97655886,0.0073741237,0.00027989637,0.000047226145],"about_ca_topic_score_codex":0.0000022002023,"about_ca_topic_score_gemma":0.000015185623,"teacher_disagreement_score":0.028830167,"about_ca_system_score_codex":0.000047818263,"about_ca_system_score_gemma":0.000026716314,"threshold_uncertainty_score":0.40478328},"labels":[],"label_agreement":null},{"id":"W4410008638","doi":"10.1088/1361-6501/add288","title":"FPGA-based intelligent bearing fault diagnosis under varying-speed conditions","year":2025,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Field-programmable gate array; Bearing (navigation); Computer science; Fault (geology); Embedded system; Automotive engineering; Real-time computing; Artificial intelligence; Engineering; Geology","score_opus":0.027296913312697783,"score_gpt":0.29433559233778916,"score_spread":0.2670386790250914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410008638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8681534,0.0032962565,0.07731627,0.015946697,0.0010374349,0.001793032,0.00001918686,0.0073300824,0.02510765],"genre_scores_gemma":[0.998462,0.00013793388,0.0008319385,0.00030595972,0.000008141179,0.00023101582,0.0000014161815,0.000011919733,0.000009636357],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984057,0.000011042829,0.00023608407,0.00035583254,0.0006028106,0.0003885114],"domain_scores_gemma":[0.9990528,0.000043402917,0.000028215882,0.00037490134,0.00043878486,0.000061844476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091313804,0.00017530312,0.00018439893,0.0012217757,0.00029391155,0.00007743842,0.00045348133,0.0001243752,0.00003206996],"category_scores_gemma":[0.00049356045,0.00017356082,0.000027151926,0.0019569902,0.00054932723,0.00014387116,0.00011770958,0.00024314762,0.000011932533],"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":[0.0000090062,0.0006031699,0.07512031,0.00036332445,0.00017908435,0.000019736268,0.00011718666,0.019436125,0.63886654,0.09141639,0.022855092,0.15101406],"study_design_scores_gemma":[0.00024835093,0.000055981487,0.0028878476,0.0001923563,0.000031156167,0.0000021588012,0.00006705696,0.025112072,0.95535755,0.007918564,0.007876301,0.00025062423],"about_ca_topic_score_codex":0.00003235291,"about_ca_topic_score_gemma":0.000050863757,"teacher_disagreement_score":0.316491,"about_ca_system_score_codex":0.0004728198,"about_ca_system_score_gemma":0.00014437517,"threshold_uncertainty_score":0.70776045},"labels":[],"label_agreement":null},{"id":"W4410221936","doi":"10.1088/1361-6501/add6ca","title":"Modified <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>n</mml:mi> <mml:mo>+</mml:mo> <mml:mn>1</mml:mn> <mml:mo>)</mml:mo> </mml:mrow> </mml:math> D Laplacian for smooth pressure reconstruction based on time-resolved velocimetry (2): experiments and perspectives","year":2025,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","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":"University of Waterloo","funders":"","keywords":"Velocimetry; Particle image velocimetry; Computer science; Applied mathematics; Mechanics; Materials science; Mathematics; Physics; Turbulence","score_opus":0.022116064863000218,"score_gpt":0.2317574229807336,"score_spread":0.20964135811773338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410221936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9424453,0.0022796262,0.0023804933,0.0022186334,0.0015216292,0.00019050395,0.00022793622,0.0006635436,0.04807233],"genre_scores_gemma":[0.9932989,0.00041954784,0.0039590118,0.001322057,0.00028897903,0.0003382724,0.00014159827,0.00009607126,0.0001355531],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99374056,0.00019302712,0.00089368765,0.0017101106,0.0019772116,0.0014854323],"domain_scores_gemma":[0.9970598,0.0004049493,0.0007718529,0.0009803883,0.00033776247,0.00044520368],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00277955,0.0005921782,0.00033308187,0.0009521881,0.002006658,0.0007517715,0.0014132374,0.0011844145,0.0022537725],"category_scores_gemma":[0.0013648147,0.00083809154,0.0004261438,0.0013631051,0.00258646,0.0010522734,0.00046958975,0.0009433611,0.0002408668],"study_design_candidate":"theoretical_or_conceptual","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":[0.0012019768,0.00034139003,0.00028095194,0.0005746553,0.00065743615,0.00012178451,0.0013448544,0.0005843306,0.01736107,0.8770872,0.056477692,0.043966703],"study_design_scores_gemma":[0.0014374042,0.0016325602,0.00020173931,0.0006471618,0.0004134731,0.00024111848,0.0033032848,0.25959915,0.72222024,0.0023684087,0.0070280125,0.0009074389],"about_ca_topic_score_codex":0.0015208273,"about_ca_topic_score_gemma":0.00023582806,"teacher_disagreement_score":0.8747187,"about_ca_system_score_codex":0.000030433512,"about_ca_system_score_gemma":0.0009585646,"threshold_uncertainty_score":0.999407},"labels":[],"label_agreement":null},{"id":"W4410769080","doi":"10.1088/1361-6501/addd3a","title":"Cross-axis coupling suppression method based on TITO-SGPC for active magnetic compensation system","year":2025,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Magnetic Bearings and Levitation Dynamics","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":"Ministry of Education and Child Care","funders":"National Natural Science Foundation of China","keywords":"Compensation (psychology); Coupling (piping); Inductive coupling; Physics; Materials science; Quantum mechanics","score_opus":0.017743466737289302,"score_gpt":0.2748089165634413,"score_spread":0.257065449826152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410769080","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.338224,0.00025152552,0.6474674,0.0018254698,0.0011577987,0.0014255858,0.000013548046,0.0008938725,0.008740867],"genre_scores_gemma":[0.99148303,0.0000027818724,0.008362421,0.000027473598,0.0000071063255,0.0000821098,0.0000011217519,0.000005936166,0.000028037812],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990533,0.000005790736,0.0001463059,0.00023558026,0.00036725102,0.00019179042],"domain_scores_gemma":[0.9992495,0.000048364378,0.000028160515,0.00016452475,0.00048315004,0.000026296164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010931266,0.0000919358,0.000115072784,0.00043189403,0.0002264559,0.000061667975,0.000160964,0.00008524034,0.00000787975],"category_scores_gemma":[0.0002708577,0.00008486307,0.000014100438,0.0006019219,0.000151182,0.00006351672,0.000024448398,0.00009378948,0.0000018715717],"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":[0.00005456778,0.00008763564,0.0025404587,0.00090053637,0.000019680403,0.0000014883492,0.00009956852,0.1258392,0.58121,0.08569998,0.00028677308,0.20326006],"study_design_scores_gemma":[0.00039943514,0.00010017346,0.0042939223,0.00011459121,0.000011021187,5.7172815e-7,0.00011342352,0.9501859,0.042896193,0.00026469148,0.0015366542,0.00008340036],"about_ca_topic_score_codex":0.0000046954774,"about_ca_topic_score_gemma":0.0000065255954,"teacher_disagreement_score":0.8243467,"about_ca_system_score_codex":0.0002455403,"about_ca_system_score_gemma":0.00007520943,"threshold_uncertainty_score":0.3460616},"labels":[],"label_agreement":null},{"id":"W4411137150","doi":"10.1088/1361-6501/ade279","title":"Application of S-Relu activation function and adaptive dual-threshold noise reduction in fault diagnosis of RV reducer rolling bearings","year":2025,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Sensor and Control Systems","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":"MD Precision (Canada)","funders":"","keywords":"Reducer; Reduction (mathematics); Fault (geology); Dual (grammatical number); Noise reduction; Noise (video); Computer science; Control theory (sociology); Automotive engineering; Materials science; Acoustics; Physics; Engineering; Mathematics; Geology; Artificial intelligence; Geometry; Thermodynamics","score_opus":0.012739059493240336,"score_gpt":0.21759406994057098,"score_spread":0.20485501044733065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411137150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9645673,0.00047709735,0.033679448,0.00027793637,0.00009300595,0.00033895634,5.671446e-7,0.000065172695,0.0005005087],"genre_scores_gemma":[0.99968415,0.00005858289,0.00016186917,0.0000026962828,0.0000067612127,0.0000791822,2.5935952e-7,0.00000298687,0.00000348781],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99925095,0.0000051141965,0.00019878302,0.00018168113,0.0002552026,0.00010829944],"domain_scores_gemma":[0.9994956,0.0000080382715,0.000059001708,0.00011884384,0.00030607372,0.000012427954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004751713,0.000065721986,0.0001321093,0.00051653513,0.00005077108,0.000005657103,0.00005161249,0.000073261406,3.1218582e-7],"category_scores_gemma":[0.00009469199,0.00006602419,0.00000787355,0.0009664437,0.00017682192,0.00017202018,0.000018534683,0.000081881146,1.4454996e-7],"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":[0.000019632911,0.000019836167,0.011333826,0.000032881046,0.000008563653,4.0197335e-8,0.000060033897,0.0052364785,0.9340401,0.00588364,0.000006069899,0.043358862],"study_design_scores_gemma":[0.000762637,0.00012633612,0.037185863,0.00023200193,0.000027546184,0.0000017217977,0.0013467058,0.06735654,0.8838065,0.008799033,0.0002184525,0.00013662477],"about_ca_topic_score_codex":0.00005100856,"about_ca_topic_score_gemma":0.00001655685,"teacher_disagreement_score":0.062120065,"about_ca_system_score_codex":0.00012684838,"about_ca_system_score_gemma":0.000023373452,"threshold_uncertainty_score":0.26923886},"labels":[],"label_agreement":null},{"id":"W4412864548","doi":"10.1088/1361-6501/adf65a","title":"Viscoelastic recovery times of chondrocytes measured using a novel 3D-printed microfluidic device","year":2025,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Proteoglycans and glycosaminoglycans research","field":"Biochemistry, Genetics and Molecular Biology","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":"NSCAD University; Dalhousie University","funders":"National Institutes of Health; National Science Foundation","keywords":"Viscoelasticity; Materials science; Strain (injury); Microfluidics; Biomedical engineering; Microscopy; Deformation (meteorology); Microscope; Chondrocyte; Confocal; Inverted microscope; Cartilage; Composite material; Nanotechnology; Optics; Anatomy","score_opus":0.028690488086511735,"score_gpt":0.2861031105252998,"score_spread":0.25741262243878804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412864548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9502567,0.009877612,0.036687836,0.0006966566,0.00018508422,0.00052138406,0.000011262872,0.00003642787,0.0017270531],"genre_scores_gemma":[0.99652284,0.00028006887,0.0029980084,0.00006436752,0.000013319939,0.000024712339,0.0000015056168,0.0000075668186,0.00008759998],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981918,0.000022318194,0.0002481531,0.00050945993,0.0006353474,0.00039294094],"domain_scores_gemma":[0.998059,0.000008021829,0.00007811677,0.00041371182,0.0013852562,0.000055932156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013697518,0.0001498928,0.00020068091,0.0006325769,0.00021361031,0.000031410695,0.00050011015,0.00016102094,0.000009006624],"category_scores_gemma":[0.0014420515,0.00013587317,0.000031821233,0.0013725114,0.0010247922,0.000012557229,0.00035977902,0.00012838308,0.0000014337147],"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":[0.000055883676,0.000069534515,0.0013855738,0.000043244163,0.000039449977,7.1021856e-7,0.000005169698,0.000004506463,0.9906088,0.0005161017,0.00013760173,0.007133384],"study_design_scores_gemma":[0.0005398582,0.00023666848,0.0005266501,0.00011263667,0.00002420758,0.000015990288,0.00008074774,0.00027716332,0.9914863,0.0002974942,0.006268031,0.00013424255],"about_ca_topic_score_codex":0.00007000498,"about_ca_topic_score_gemma":0.00004788365,"teacher_disagreement_score":0.046266165,"about_ca_system_score_codex":0.00012045312,"about_ca_system_score_gemma":0.0012243703,"threshold_uncertainty_score":0.5540747},"labels":[],"label_agreement":null},{"id":"W4412885759","doi":"10.1088/1361-6501/adf134","title":"Development and testing of calibration device for differential pressure hydrostatic leveling based on liquid-level rise and fall method","year":2025,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Flow Measurement and Analysis","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":"Ministry of Transportation of Ontario","funders":"","keywords":"Calibration; Differential pressure; Hydrostatic equilibrium; Differential (mechanical device); Hydrostatic pressure; Mechanics; Materials science; Hydrostatic test; Environmental science; Computer science; Geology; Mathematics; Physics; Thermodynamics; Composite material; Statistics","score_opus":0.059992654119832865,"score_gpt":0.26714530902923284,"score_spread":0.20715265490939996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412885759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6515312,0.0007736994,0.3467112,0.00034046703,0.00006626455,0.0003323211,0.0000042848633,0.00011209927,0.00012848667],"genre_scores_gemma":[0.94959116,0.0000071564555,0.05031998,0.000020768319,0.000004904366,0.00004068906,6.5354584e-7,0.0000061238734,0.000008538284],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988463,0.0000139264885,0.0002366812,0.00027225885,0.00042668672,0.00020413108],"domain_scores_gemma":[0.99940175,0.000057311405,0.000045443223,0.00011829639,0.00034106182,0.000036146303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013785968,0.00012869503,0.00019462853,0.0005422139,0.0002062069,0.00003878067,0.000113678616,0.000068850146,8.1021653e-7],"category_scores_gemma":[0.0006358296,0.00011546651,0.000011093438,0.000694556,0.00014067869,0.000092577146,0.000042061583,0.00007654868,7.257608e-8],"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":[0.000028339342,0.000044043085,0.0040792855,0.0005848668,0.00007814148,4.0052456e-7,0.00016448925,0.002498253,0.8876398,0.00078473956,0.000030544226,0.104067095],"study_design_scores_gemma":[0.00046787856,0.000075696335,0.0010593352,0.00019449626,0.000090553316,3.5843635e-7,0.0000888939,0.59318113,0.40396076,0.00020995247,0.0005468603,0.00012410407],"about_ca_topic_score_codex":0.000009467695,"about_ca_topic_score_gemma":0.00005365725,"teacher_disagreement_score":0.59068286,"about_ca_system_score_codex":0.000052200667,"about_ca_system_score_gemma":0.00012847787,"threshold_uncertainty_score":0.47085875},"labels":[],"label_agreement":null},{"id":"W4412919812","doi":"10.1088/1361-6501/adf089","title":"High stability magnetic field compensation method based on ACAC-DOB","year":2025,"lang":"","type":"article","venue":"Measurement Science and Technology","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","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":"Ministry of Education and Child Care","funders":"National Natural Science Foundation of China","keywords":"Compensation (psychology); Stability (learning theory); Magnetic field; Materials science; Computer science; Physics; Psychology; Quantum mechanics; Psychoanalysis","score_opus":0.03278636022998087,"score_gpt":0.3117587185306897,"score_spread":0.2789723583007088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412919812","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42281967,0.0004728387,0.49237117,0.05057637,0.0010574671,0.0023386697,0.000035230118,0.00017924326,0.030149328],"genre_scores_gemma":[0.99835795,0.000011076631,0.0010646214,0.00036565086,0.000037153884,0.00007295206,0.0000020463651,0.000008462088,0.000080099155],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996017,0.00015920872,0.00042894515,0.0010150598,0.0016231451,0.00075665576],"domain_scores_gemma":[0.9971993,0.00020500566,0.000120468045,0.0008540142,0.0014950458,0.00012618405],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004927057,0.00029677266,0.0004304467,0.0008022472,0.00085065764,0.0001670274,0.00082295894,0.00017940102,0.00025637017],"category_scores_gemma":[0.0004734672,0.00027936674,0.00006337073,0.0027533392,0.0013196674,0.00017435926,0.00034365305,0.00066588947,0.000037369613],"study_design_candidate":"design_other","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":[0.000088032255,0.00048291316,0.015638506,0.00006214887,0.000032573073,0.0000012436103,0.00006467435,0.000058887665,0.054330055,0.25994602,0.0004967269,0.6687982],"study_design_scores_gemma":[0.0023555364,0.00076122733,0.0031380397,0.00026060277,0.00009863514,4.193091e-7,0.0015185558,0.36930394,0.48494205,0.13348827,0.0035803348,0.00055237307],"about_ca_topic_score_codex":0.00019541633,"about_ca_topic_score_gemma":0.000013505464,"teacher_disagreement_score":0.66824585,"about_ca_system_score_codex":0.0007607367,"about_ca_system_score_gemma":0.0033182446,"threshold_uncertainty_score":0.99996585},"labels":[],"label_agreement":null},{"id":"W4414535567","doi":"10.1088/1361-6501/ae0ba8","title":"Spatial locating of magnetic mobile robot in closed steel box girder based on UWB sensors and structural boundary","year":2025,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Soft Robotics and Applications","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":"University of Alberta","funders":"","keywords":"Trajectory; Intersection (aeronautics); Robot; Bridge (graph theory); Constraint (computer-aided design); Boundary (topology); Mobile robot","score_opus":0.009012491532058752,"score_gpt":0.22482140977536344,"score_spread":0.2158089182433047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414535567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99373025,0.00046959333,0.004301454,0.00044212313,0.00009403795,0.0002976038,0.0000015062636,0.00008736293,0.00057608186],"genre_scores_gemma":[0.99845403,0.000009492472,0.0014693876,0.000020970183,0.0000033249507,0.000033774766,2.8441434e-7,0.000003934476,0.0000047723734],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999256,0.0000050541735,0.00014525754,0.00018121794,0.00024799834,0.00016446624],"domain_scores_gemma":[0.9996565,0.000016435728,0.000019120764,0.00016630073,0.00012167544,0.000019951402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032378294,0.00007683094,0.00010782494,0.00038096483,0.000094314026,0.000020675247,0.00011824818,0.000053212112,0.0000037869459],"category_scores_gemma":[0.00008983981,0.000072865136,0.000006424656,0.000761094,0.00033089257,0.000029569808,0.000032820848,0.00010211032,4.6974236e-7],"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":[0.000011438518,0.000075537835,0.06577314,0.00020641384,0.000011638141,0.000002596851,0.00015955824,0.08438339,0.6320904,0.0058907894,0.00007287537,0.21132222],"study_design_scores_gemma":[0.0009972928,0.00023523653,0.11202696,0.00016102742,0.000018203818,0.0000024606084,0.00045206142,0.7537744,0.12905027,0.0024533456,0.00058553834,0.00024322202],"about_ca_topic_score_codex":0.00003060387,"about_ca_topic_score_gemma":0.0000858029,"teacher_disagreement_score":0.669391,"about_ca_system_score_codex":0.00007388892,"about_ca_system_score_gemma":0.00008494185,"threshold_uncertainty_score":0.29713538},"labels":[],"label_agreement":null},{"id":"W4414699804","doi":"10.1088/1361-6501/ae0e3d","title":"Offline circular path error measurement and compensation for robotic machining applications","year":2025,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Compensation (psychology); Robot; Distortion (music); Rigidity (electromagnetism); Process (computing); Machine tool; Numerical control; Compensation methods","score_opus":0.024540494301152824,"score_gpt":0.2560033278011839,"score_spread":0.23146283350003108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414699804","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016827257,0.0020338364,0.99402344,0.0009631408,0.000084266016,0.0004759819,7.6304104e-7,0.00024160573,0.00049425446],"genre_scores_gemma":[0.98461926,0.0000937944,0.015015724,0.000053943575,0.000008128641,0.00019584321,0.0000015508394,0.0000070724204,0.0000046815157],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907017,0.0000035539636,0.00015026574,0.00024111957,0.00034970525,0.00018517222],"domain_scores_gemma":[0.99915445,0.000008321693,0.00003137467,0.00014060677,0.00063583936,0.000029428116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093249034,0.00009402897,0.000114529445,0.00030199348,0.00031592234,0.000037189006,0.00012048654,0.00005096145,7.706776e-7],"category_scores_gemma":[0.00023457075,0.00009260967,0.000008180453,0.0006691798,0.00017165186,0.00011810274,0.000035810845,0.00007593332,4.5827096e-7],"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":[0.000016422377,0.00010802458,0.0041360767,0.0010796032,0.000087215936,6.925154e-7,0.00020434055,0.18150851,0.18430197,0.13679701,0.00024813545,0.491512],"study_design_scores_gemma":[0.0009135676,0.000089140616,0.0015031949,0.00017237518,0.00008133256,0.000004893503,0.0003035421,0.95407695,0.011512231,0.02039706,0.010642259,0.00030345903],"about_ca_topic_score_codex":0.0000015401388,"about_ca_topic_score_gemma":0.000008519043,"teacher_disagreement_score":0.98293656,"about_ca_system_score_codex":0.00016687339,"about_ca_system_score_gemma":0.000083749044,"threshold_uncertainty_score":0.37765127},"labels":[],"label_agreement":null},{"id":"W4414763908","doi":"10.1088/1361-6501/ae0e9a","title":"Non-invasive, non-contact conductivity measurement using radiofrequency probe loading","year":2025,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"RFID technology advancements","field":"Engineering","cited_by":1,"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 New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Conductivity; Eddy current; Electrical conductor; Electromagnetic coil; Faraday cage; System of measurement; Planar; Characterization (materials science); Measuring principle; Homogeneous","score_opus":0.030559396823191545,"score_gpt":0.248832454330351,"score_spread":0.21827305750715947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414763908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9097627,0.0029491717,0.07508882,0.0010327273,0.001441023,0.00149098,0.0000028609613,0.0013664577,0.0068652583],"genre_scores_gemma":[0.9955029,0.00012755355,0.004161864,0.00005045013,0.000014852624,0.00011177112,2.483629e-7,0.000019897287,0.000010487162],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968666,0.000012301299,0.00038066672,0.0006827394,0.0012505809,0.00080711365],"domain_scores_gemma":[0.99804413,0.0000103978455,0.00008195761,0.00066491717,0.0011167929,0.0000818038],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024164796,0.00032454732,0.00038443643,0.0015491229,0.0005159645,0.00006327299,0.00072920794,0.00024584186,0.000007155467],"category_scores_gemma":[0.0007364566,0.00033018348,0.000033374632,0.0029570565,0.0008730982,0.00058725546,0.0002051411,0.00043600888,0.000010508058],"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":[0.0000033547249,0.00004437809,0.010177111,0.000096051146,0.000061000166,0.000009339616,0.00002533025,0.00008134459,0.9746762,0.0022974485,0.00013099232,0.01239748],"study_design_scores_gemma":[0.00082170067,0.00009107616,0.002415708,0.00036597662,0.000052954223,0.000021237682,0.00018198011,0.004355283,0.9848512,0.0052337865,0.0012288471,0.00038024352],"about_ca_topic_score_codex":0.00002578534,"about_ca_topic_score_gemma":0.000055639364,"teacher_disagreement_score":0.08574018,"about_ca_system_score_codex":0.0021530513,"about_ca_system_score_gemma":0.0006594218,"threshold_uncertainty_score":0.999915},"labels":[],"label_agreement":null},{"id":"W4415889820","doi":"10.1088/1361-6501/ae1b25","title":"MD-Transformer: a noise-oriented lightweight bearing fault diagnosis model","year":2025,"lang":"","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Science Foundation of Tianjin City","keywords":"Convolution (computer science); Bearing (navigation); Separable space; Pooling; Fault (geology); Noise (video); Representation (politics); Feature (linguistics); Pattern recognition (psychology)","score_opus":0.01494218764340766,"score_gpt":0.2659611617409673,"score_spread":0.25101897409755963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415889820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45822182,0.044543628,0.3538293,0.03843778,0.002991263,0.006833069,0.000087289736,0.008417302,0.08663858],"genre_scores_gemma":[0.98424643,0.008946442,0.005415115,0.00024742293,0.000029827152,0.0010013205,0.000001403924,0.000046517485,0.000065548105],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99375045,0.000032503922,0.0009325871,0.0014502548,0.0023118928,0.0015222913],"domain_scores_gemma":[0.9965473,0.00005431359,0.00013092656,0.0011301449,0.0018896832,0.00024767383],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003439739,0.00071841275,0.0007584313,0.0036901121,0.0010415411,0.00025578868,0.0014967015,0.00062398205,0.000036197012],"category_scores_gemma":[0.0015103264,0.000722434,0.000114986964,0.0071395165,0.0017608198,0.00074964744,0.0004290281,0.0009873413,0.000021561098],"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":[0.000040059444,0.0010720033,0.056041278,0.0010814215,0.00038740554,0.00003155405,0.0006887006,0.0026357656,0.48454276,0.16006075,0.016346928,0.27707136],"study_design_scores_gemma":[0.00089850917,0.00021352166,0.0006863959,0.0011281472,0.00023680803,0.000008377198,0.00016416407,0.14623779,0.7983234,0.00878582,0.042445246,0.0008718161],"about_ca_topic_score_codex":0.000101847676,"about_ca_topic_score_gemma":0.00018471605,"teacher_disagreement_score":0.5260246,"about_ca_system_score_codex":0.0015451779,"about_ca_system_score_gemma":0.0008529997,"threshold_uncertainty_score":0.9995227},"labels":[],"label_agreement":null},{"id":"W4416530330","doi":"10.1088/1361-6501/ae228a","title":"A dynamic spatial-temporal graph transformer with multi-frequency attention for remaining useful life prediction","year":2025,"lang":"","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","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":"Ministry of Education and Child Care","funders":"National Natural Science Foundation of China","keywords":"Transformer; Modular design; Adjacency list; Fuse (electrical); Graph; Attention network; Convolution (computer science); Convolutional neural network","score_opus":0.017642814778118916,"score_gpt":0.26941981568829254,"score_spread":0.25177700091017363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416530330","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18632288,0.001728186,0.8031425,0.0037331928,0.00054352876,0.002797926,0.000036831287,0.001198518,0.00049646874],"genre_scores_gemma":[0.9770541,0.00044147953,0.021441469,0.00006449744,0.000014797615,0.00092474476,0.000007437669,0.00003559354,0.000015837835],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99628097,0.00003104635,0.0006989718,0.0009981573,0.0011395392,0.00085129245],"domain_scores_gemma":[0.99766743,0.000028369614,0.00015895972,0.0005607902,0.0014453345,0.00013913226],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0033928344,0.00045458664,0.0004843799,0.002435449,0.0007381035,0.00014710039,0.00057439436,0.00039492498,0.000008012817],"category_scores_gemma":[0.000906822,0.0004276362,0.00007773937,0.003236474,0.0011706436,0.0005779417,0.00004405937,0.00045640732,0.0000016817148],"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":[0.00012090112,0.0006218312,0.39710864,0.0014409671,0.00037714667,0.000008060297,0.0003020231,0.00018230728,0.47791997,0.0076122615,0.0003632539,0.11394264],"study_design_scores_gemma":[0.012618778,0.0054783872,0.3000456,0.007005579,0.0014476744,0.00006158635,0.0017268216,0.4641556,0.18135507,0.019075572,0.0042545227,0.002774785],"about_ca_topic_score_codex":0.0002187749,"about_ca_topic_score_gemma":0.0020367622,"teacher_disagreement_score":0.79073125,"about_ca_system_score_codex":0.00080065744,"about_ca_system_score_gemma":0.0007128098,"threshold_uncertainty_score":0.99981755},"labels":[],"label_agreement":null},{"id":"W7114766557","doi":"10.1088/1361-6501/ae2b21","title":"Uncertainty-aware few-shot gearbox fault diagnosis via multi-scale spatial-attention and transformer integrated evidential deep learning","year":2025,"lang":"","type":"article","venue":"Measurement Science and Technology","topic":"Machine Fault Diagnosis Techniques","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":"Western University","funders":"Natural Science Foundation of Anhui Province; National Natural Science Foundation of China","keywords":"Overfitting; Deep learning; Turbine; Transformer; Autoencoder; Convolutional neural network; Encoder; Fault (geology); Deep belief network","score_opus":0.01766872892730437,"score_gpt":0.281096721207433,"score_spread":0.26342799228012864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7114766557","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4673798,0.009020046,0.51104486,0.006071494,0.0011419312,0.002721191,0.000017331486,0.0019237429,0.0006795835],"genre_scores_gemma":[0.99342734,0.004114234,0.0016045216,0.00008731993,0.000031481053,0.00064563676,0.000006993325,0.00004299489,0.00003950353],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9950296,0.0001269384,0.00087864447,0.0013539741,0.0014849228,0.001125863],"domain_scores_gemma":[0.99738175,0.00007663662,0.00017388682,0.00053414656,0.0016278052,0.0002058033],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0033737633,0.00067785487,0.00072382676,0.0023779015,0.0010902623,0.00037715217,0.0007891903,0.00065172877,0.00008044371],"category_scores_gemma":[0.0012998759,0.00067783875,0.00010102011,0.0036806285,0.001777572,0.00054418447,0.0002621547,0.0012736045,0.00001131446],"study_design_candidate":"design_other","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":[0.000028850598,0.00031874,0.10784286,0.00045398143,0.00011879573,0.000011016144,0.00032869473,0.00041241242,0.20676337,0.00018646677,0.00009278017,0.68344206],"study_design_scores_gemma":[0.0034214098,0.0010448819,0.04738336,0.0025066896,0.00073441665,0.00003856053,0.0023313307,0.55974895,0.36750117,0.0010958231,0.012373762,0.0018196601],"about_ca_topic_score_codex":0.0021105022,"about_ca_topic_score_gemma":0.0071892925,"teacher_disagreement_score":0.6816224,"about_ca_system_score_codex":0.0010242123,"about_ca_system_score_gemma":0.00027544764,"threshold_uncertainty_score":0.9995673},"labels":[],"label_agreement":null}]}