{"meta":{"query_hash":"b422b4876aa7","filters":{"venue":"IEEE Instrumentation & Measurement Magazine"},"cohort_total":43,"direct_labels_cover":0,"predictions_cover":43,"exported":43,"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/b422b4876aa7","api":"https://metacan.xera.ac/api/v1/cohort?venue=IEEE+Instrumentation+%26+Measurement+Magazine"},"results":[{"id":"W1512587630","doi":"10.1109/mim.2004.1337913","title":"Robotic sensor agents","year":2004,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Information Technology Association of Canada; Carleton University; University of Ottawa","funders":"","keywords":"Homeland security; Environmental monitoring; Wireless sensor network; Embedded system; Hazardous waste; Computer science; Field (mathematics); Task (project management); Engineering; Real-time computing; Systems engineering; Operating system; Environmental engineering; Waste management; Geography","score_opus":0.06289014600333746,"score_gpt":0.27625990183261023,"score_spread":0.21336975582927276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1512587630","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":[0.026452465,0.000032472406,0.9650719,0.0028025422,0.0026301274,0.00044447317,0.00000221291,0.00043086085,0.0021329587],"genre_scores_gemma":[0.72717214,0.000009147005,0.2715473,0.00084406824,0.00013768623,0.00003708823,0.000008937432,0.000021516928,0.00022213857],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99699104,0.00008967551,0.0004675026,0.0005357391,0.0014656727,0.00045034743],"domain_scores_gemma":[0.9987522,0.00001588096,0.0002021878,0.0005813202,0.00026253297,0.0001858962],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006239625,0.00025882595,0.00022465827,0.00020508906,0.00017520723,0.00020648283,0.00063154974,0.00006437413,0.000027371467],"category_scores_gemma":[0.000062461906,0.00026203383,0.00008040459,0.0005162275,0.000043110307,0.0007545754,0.00006258553,0.00016075805,0.0014243164],"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":[0.00006322635,0.0013726248,0.00825412,0.00016793748,0.00034533947,0.0004764218,0.004224392,0.7116242,0.13923302,0.008737274,0.011149253,0.1143522],"study_design_scores_gemma":[0.0315636,0.0021141842,0.44284388,0.0014196307,0.0003404097,0.0009042347,0.000401819,0.27149484,0.2184706,0.015875457,0.009856651,0.004714685],"about_ca_topic_score_codex":0.00002709442,"about_ca_topic_score_gemma":0.0000072407497,"teacher_disagreement_score":0.70071965,"about_ca_system_score_codex":0.00057453313,"about_ca_system_score_gemma":0.0001782151,"threshold_uncertainty_score":0.9999832},"labels":[],"label_agreement":null},{"id":"W1519098991","doi":"10.1109/mim.2006.1634956","title":"Smart laser vision sensors simplify inspection - Enhancing competitiveness by improving productivity in the tire and rubber industry","year":2006,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Industrial Vision Systems and Defect Detection","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 Windsor","funders":"","keywords":"Scrap; Reliability (semiconductor); Process (computing); Automotive engineering; Productivity; Quality (philosophy); Noise (video); Production (economics); Engineering; Computer science; Reliability engineering; Artificial intelligence; Mechanical engineering","score_opus":0.013537806588589767,"score_gpt":0.22502715774545023,"score_spread":0.21148935115686046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1519098991","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":[0.99579436,0.00006116456,0.0010220372,0.00015080128,0.0009780433,0.0006701475,0.00001120778,0.00018322893,0.0011289844],"genre_scores_gemma":[0.99941844,0.000005047667,0.000028362048,0.000030088018,0.0003325993,0.00006691711,0.00001941788,0.000028640028,0.000070502145],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981386,0.00020984409,0.00047039046,0.000310481,0.0006189845,0.00025167246],"domain_scores_gemma":[0.99951667,0.000038880178,0.000115393326,0.00018157357,0.000108024375,0.000039488274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012282445,0.00022604543,0.00020317882,0.00016923177,0.00019712563,0.0001476157,0.00006545275,0.00020433607,0.000019441262],"category_scores_gemma":[0.000036216683,0.0001951293,0.000038059352,0.00040368686,0.000038235736,0.00045995292,0.000011748107,0.00046286176,0.00002129993],"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":[0.00008324974,0.00015742537,0.02427964,0.00017543683,0.000025721016,0.0000068202753,0.00044549035,0.006342627,0.9246349,0.000028553393,0.0027058641,0.04111427],"study_design_scores_gemma":[0.0044759526,0.00035914627,0.2532896,0.00046019253,0.00007689429,0.00008440401,0.0017485314,0.014630027,0.7100068,0.00006673188,0.013889096,0.00091264845],"about_ca_topic_score_codex":0.0005256867,"about_ca_topic_score_gemma":0.0010747861,"teacher_disagreement_score":0.22900997,"about_ca_system_score_codex":0.00036982883,"about_ca_system_score_gemma":0.00002264203,"threshold_uncertainty_score":0.7957142},"labels":[],"label_agreement":null},{"id":"W1592174611","doi":"10.1109/mim.2015.7108393","title":"5G cellular: key enabling technologies and research challenges","year":2015,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":602,"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":"Computer science; Key (lock); Wireless; Cellular network; Computer network; Energy consumption; Telecommunications; Low latency (capital markets); Latency (audio); Emerging technologies; Mobile telephony; Mobile radio; Engineering; Computer security; Electrical engineering","score_opus":0.1428598529506563,"score_gpt":0.30129316891020663,"score_spread":0.15843331595955032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1592174611","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":[0.67186743,0.062043674,0.17577597,0.0046359156,0.0061534215,0.005056519,0.000030444407,0.0086175725,0.065819055],"genre_scores_gemma":[0.99390405,0.0016024384,0.0041509313,0.000006576287,0.0000904933,0.00011355695,0.000008901232,0.000044526485,0.00007851211],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99819446,0.0000794345,0.00032985889,0.00027805052,0.0007857713,0.00033245364],"domain_scores_gemma":[0.9990634,0.000025258438,0.000054019074,0.00026645075,0.0005001851,0.00009073441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013405579,0.000181772,0.00017718748,0.00036397908,0.00009025865,0.00007371221,0.00013882178,0.000108209715,0.0000056653093],"category_scores_gemma":[0.0001725291,0.00019028662,0.00001925346,0.00033934668,0.00007625074,0.00047192443,0.000027674776,0.00021903435,0.00009289432],"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":[0.00007569269,0.00012127865,0.0006674903,0.00073851534,0.00012569876,0.000022479286,0.010292767,0.09423596,0.6951245,0.0011514509,0.0046284744,0.19281566],"study_design_scores_gemma":[0.005889371,0.0005483182,0.00044212016,0.000691283,0.000070119735,0.000045358433,0.04395245,0.04494107,0.8501128,0.003933156,0.04803094,0.0013430116],"about_ca_topic_score_codex":0.000006432969,"about_ca_topic_score_gemma":0.000054799144,"teacher_disagreement_score":0.32203665,"about_ca_system_score_codex":0.00043911228,"about_ca_system_score_gemma":0.00003277182,"threshold_uncertainty_score":0.77596635},"labels":[],"label_agreement":null},{"id":"W1964147150","doi":"10.1109/mim.2014.6810034","title":"Renewable energy and the conclusion of the matter [From the editor's bench]","year":2014,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Sensor Technology and Measurement Systems","field":"Computer 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":"","keywords":"Renewable energy; Instrumentation (computer programming); Engineering; Research council; Telecommunications; Political science; Electrical engineering; Computer science; Operating system; Government (linguistics)","score_opus":0.014477603997881781,"score_gpt":0.20489977871918616,"score_spread":0.19042217472130438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964147150","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":[0.33818084,0.0016926018,0.4270272,0.15804893,0.048317198,0.0033261518,0.000026656047,0.0004931826,0.022887263],"genre_scores_gemma":[0.9959964,0.000023068462,0.0003128387,0.0027212037,0.0006232636,0.00004747539,0.0000018444456,0.000008497367,0.0002654177],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997582,0.00049894233,0.0004095138,0.00029832727,0.0010145487,0.00019662248],"domain_scores_gemma":[0.9984031,0.00015581535,0.00034496916,0.00084690825,0.00021628529,0.000032959364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001580204,0.00016473045,0.00019224716,0.000039935057,0.00038421564,0.000084267194,0.0009465981,0.000077933764,0.000026618922],"category_scores_gemma":[0.000096853844,0.00008040557,0.00007429534,0.0002529802,0.0003101423,0.00021401045,0.000098359014,0.00011014988,0.000022981436],"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":[0.00013854458,0.0001382279,0.043824848,0.000038816765,0.00021056233,5.905474e-7,0.0021271405,0.00047047302,0.4535303,0.017351229,0.46342593,0.018743336],"study_design_scores_gemma":[0.0086460095,0.00016025403,0.07280516,0.00033185584,0.00019160825,0.000023617236,0.0003254058,0.008498155,0.62899226,0.018698711,0.26080588,0.00052107254],"about_ca_topic_score_codex":0.00091136916,"about_ca_topic_score_gemma":0.0008905521,"teacher_disagreement_score":0.6578156,"about_ca_system_score_codex":0.00006464092,"about_ca_system_score_gemma":0.000040983945,"threshold_uncertainty_score":0.32788438},"labels":[],"label_agreement":null},{"id":"W1970757115","doi":"10.1109/mim.2007.339540","title":"The Potential of Haptics Technologies","year":2007,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":245,"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":"Haptic technology; Virtual reality; Computer science; Human–computer interaction; Virtual world; Multidisciplinary approach; Field (mathematics); Multimedia; Simulation","score_opus":0.020045204080333563,"score_gpt":0.22726387365732653,"score_spread":0.20721866957699298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970757115","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":[0.7119194,0.0011715702,0.25988612,0.00093744474,0.006215573,0.0010387417,0.000012106699,0.00150059,0.017318413],"genre_scores_gemma":[0.99876577,0.00009877917,0.0009430236,0.000014564155,0.00006533751,0.00001251749,0.0000027423632,0.000015291927,0.00008198544],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987094,0.000013350081,0.00044643477,0.000091123584,0.00054884056,0.00019086647],"domain_scores_gemma":[0.99950236,0.000019235486,0.000072279596,0.00019318881,0.00018576147,0.000027170552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007062049,0.00011173777,0.00010996797,0.00009055946,0.000094933435,0.000042788666,0.00014278822,0.000056323683,0.000017368344],"category_scores_gemma":[0.00003494304,0.0000871096,0.000042327214,0.00016878835,0.00006580882,0.000098752564,0.000008480755,0.00008265878,0.000061918014],"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":[0.00002952298,0.00003496651,0.00097379024,0.00006541729,0.00009352911,0.0000030094027,0.00018638281,0.0040797987,0.8060567,0.002057658,0.003301188,0.18311808],"study_design_scores_gemma":[0.002564009,0.00020956631,0.030332701,0.00011050904,0.000099793666,0.00003745935,0.0036772809,0.024125133,0.89023715,0.00071491866,0.047340028,0.000551456],"about_ca_topic_score_codex":0.0000035432452,"about_ca_topic_score_gemma":0.00010515163,"teacher_disagreement_score":0.2868463,"about_ca_system_score_codex":0.000111747984,"about_ca_system_score_gemma":0.000017081129,"threshold_uncertainty_score":0.3552226},"labels":[],"label_agreement":null},{"id":"W2041197964","doi":"10.1109/mim.2013.6704968","title":"Rotary in-drilling alignment using an autonomous MEMS-based inertial measurement unit for measurement- while-drilling processes","year":2013,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Drilling and Well Engineering","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":"Calgary Laboratory Services; University of Calgary","funders":"","keywords":"Drilling; Inertial measurement unit; Measurement while drilling; Work (physics); Inertial navigation system; Well drilling; Microelectromechanical systems; Engineering; Directional drilling; Limit (mathematics); Inertial frame of reference; Computer science; Mechanical engineering; Control engineering; Marine engineering; Systems engineering; Aerospace engineering; Materials science","score_opus":0.08610254977786104,"score_gpt":0.24931016101591588,"score_spread":0.16320761123805483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041197964","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":[0.49352562,0.0009084822,0.4975671,0.00019378636,0.0024870613,0.0036743346,0.000030017174,0.0010886407,0.0005249618],"genre_scores_gemma":[0.98861814,0.0000527542,0.009573457,0.00013762993,0.00046397737,0.00086440425,0.00006624171,0.00021497317,0.00000842275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99421865,0.00009365251,0.0014061006,0.0007461127,0.002470482,0.001065006],"domain_scores_gemma":[0.9972949,0.000040596537,0.00023946268,0.00052385684,0.0015522775,0.00034890554],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021556176,0.000785973,0.00063786877,0.0006505588,0.0002574909,0.0003087934,0.00039984813,0.000199107,0.000084137166],"category_scores_gemma":[0.00014685396,0.00086556043,0.00015663017,0.0007073763,0.00004974354,0.0011056958,0.000023102843,0.00032228968,0.000055083034],"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":[0.000037740974,0.0001855908,0.000847284,0.00065066374,0.000108316104,0.0000022320662,0.00025625876,0.685402,0.30633166,0.000006074185,0.00014448787,0.0060276752],"study_design_scores_gemma":[0.003370353,0.00021588964,0.0009960841,0.00094468397,0.00014815306,0.000005117642,0.00018834817,0.7363766,0.2548803,0.000069993584,0.0018084855,0.0009959718],"about_ca_topic_score_codex":0.00021472322,"about_ca_topic_score_gemma":0.000587311,"teacher_disagreement_score":0.4950925,"about_ca_system_score_codex":0.0023653733,"about_ca_system_score_gemma":0.00041146006,"threshold_uncertainty_score":0.9993795},"labels":[],"label_agreement":null},{"id":"W2053793989","doi":"10.1109/mim.2004.1337911","title":"Testing unmanned aerial vehicle airfoils","year":2004,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Aerospace and Aviation Technology","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":"McGill University","funders":"","keywords":"Airfoil; Aerodynamics; Wind tunnel; Transonic; Boundary layer; Aerospace engineering; Sensitivity (control systems); Marine engineering; Engineering; Flow (mathematics); Simulation; Computer science; Automotive engineering; Acoustics; Electronic engineering; Mechanics; Physics","score_opus":0.03185990718839828,"score_gpt":0.22692464264513276,"score_spread":0.19506473545673447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053793989","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":[0.98327416,0.000053496606,0.010421877,0.0007449658,0.0011621458,0.00031664473,0.000006903876,0.0011320246,0.0028878034],"genre_scores_gemma":[0.9961668,0.0000124061835,0.0033416797,0.00014661717,0.00019477098,0.00005409055,0.000012942357,0.00003732171,0.00003332646],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986727,0.000014966734,0.00034193698,0.00020306458,0.0004608803,0.00030640548],"domain_scores_gemma":[0.9994976,0.000009595656,0.000072709045,0.00019828219,0.00014979727,0.00007203834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020156523,0.00019202541,0.0001640586,0.0001236951,0.0001030195,0.00004845346,0.00013607077,0.000094646166,0.00006449803],"category_scores_gemma":[0.000055546712,0.00021191449,0.000042780328,0.0003797362,0.000038956707,0.00029548808,0.000012834574,0.00014528293,0.0005774474],"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":[0.000015311834,0.00005771102,0.0023418716,0.000040069648,0.00004034145,0.000005519689,0.00017599652,0.027620949,0.94650894,0.00038521213,0.0012840162,0.021524077],"study_design_scores_gemma":[0.005383815,0.00026602476,0.032670557,0.00013679927,0.000057363563,0.000015395675,0.00015023508,0.0025435903,0.95224,0.0022326654,0.0037040836,0.0005994732],"about_ca_topic_score_codex":0.000016759013,"about_ca_topic_score_gemma":0.00007570009,"teacher_disagreement_score":0.030328685,"about_ca_system_score_codex":0.00041145436,"about_ca_system_score_gemma":0.000045392124,"threshold_uncertainty_score":0.86416227},"labels":[],"label_agreement":null},{"id":"W2061990521","doi":"10.1109/mim.2012.6145257","title":"Issues in designing practical wireless sensors","year":2012,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Business Strategies and Innovation","field":"Business, Management and Accounting","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":"Impact","funders":"","keywords":"Wireless; Wireless sensor network; Computer science; Fixed wireless; Telecommunications; Wireless network; Wi-Fi array; Engineering; Risk analysis (engineering); Computer network; Business","score_opus":0.08390041443690957,"score_gpt":0.29489134176258214,"score_spread":0.21099092732567257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061990521","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":[0.97692716,0.000061707804,0.0029119486,0.0047009573,0.0016408185,0.00047938997,8.987518e-7,0.00015340935,0.013123689],"genre_scores_gemma":[0.9959375,0.00001805391,0.0013008201,0.0010395176,0.0015017348,0.00005205286,0.000033520835,0.00003354855,0.00008325277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99790937,0.000030095995,0.0005372863,0.0002483858,0.000798872,0.0004760223],"domain_scores_gemma":[0.9990543,0.00001668232,0.00031387276,0.00017418605,0.00042045247,0.00002047933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012503309,0.00023462168,0.00021856587,0.0003813419,0.00013230363,0.0002999923,0.00010284149,0.00008175324,0.00031270628],"category_scores_gemma":[0.000109663946,0.00023208909,0.00004265614,0.00091301126,0.00004431689,0.0045553856,0.000032887496,0.00017669224,0.00066247204],"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":[0.0004260137,0.0014890983,0.5187093,0.00072946516,0.00010149088,0.00002609916,0.0005889534,0.00072561024,0.3237518,0.072520055,0.03967579,0.041256294],"study_design_scores_gemma":[0.005811817,0.00006384575,0.8330072,0.0005377364,0.00019234103,0.000027813989,0.0031741008,0.010245123,0.026902486,0.0022836607,0.116070606,0.001683284],"about_ca_topic_score_codex":0.0002645507,"about_ca_topic_score_gemma":0.00008900556,"teacher_disagreement_score":0.31429788,"about_ca_system_score_codex":0.00018158149,"about_ca_system_score_gemma":0.00003915776,"threshold_uncertainty_score":0.9464318},"labels":[],"label_agreement":null},{"id":"W2096944874","doi":"10.1109/im-m.2008.4449013","title":"Control output devices - actuators and displays for process automation - part 12 in a series of tutorials in instrumentation and measurement","year":2008,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Advanced machining processes and optimization","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":"Automation; Actuator; Stepper; Process (computing); Control engineering; Instrumentation (computer programming); Engineering; Torque; Servomotor; Realization (probability); Process control; Machining; Solenoid; Control system; Computer science; Automotive engineering; Electrical engineering; Mechanical engineering","score_opus":0.03432399400738799,"score_gpt":0.2499740367352159,"score_spread":0.2156500427278279,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096944874","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":[0.943775,0.00022544473,0.054012384,0.00011127408,0.00044053784,0.0012270001,0.00002623877,0.00008506028,0.0000970833],"genre_scores_gemma":[0.9964087,0.0002814158,0.0028639885,0.000027210284,0.00005039623,0.00030576976,0.000031752446,0.000026922022,0.0000038495004],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99832606,0.000039979885,0.0006624509,0.0002411659,0.0005257345,0.00020463226],"domain_scores_gemma":[0.99941367,0.000029249943,0.00020747245,0.000081696504,0.00021534025,0.000052566204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006081655,0.00021278996,0.00030243918,0.00024135466,0.000073183815,0.00003130858,0.00005404075,0.000069014015,0.000004910809],"category_scores_gemma":[0.00011103003,0.0002235481,0.0000223033,0.00020301127,0.00005039156,0.0009551732,0.00000757048,0.00007197297,5.8926344e-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":[0.0017225102,0.0005310677,0.28098875,0.006727498,0.00027529243,0.0000064191972,0.014795853,0.49143505,0.048370842,0.0007195815,0.0002898638,0.15413727],"study_design_scores_gemma":[0.040143758,0.0014687023,0.5037324,0.0026753629,0.00040156866,0.000053832504,0.0025683234,0.32348755,0.11851754,0.0032494066,0.0016510604,0.0020504734],"about_ca_topic_score_codex":0.000018058814,"about_ca_topic_score_gemma":0.00053764565,"teacher_disagreement_score":0.22274365,"about_ca_system_score_codex":0.00022774676,"about_ca_system_score_gemma":0.00006266656,"threshold_uncertainty_score":0.9116027},"labels":[],"label_agreement":null},{"id":"W2108843826","doi":"10.1109/5289.887458","title":"Sensor-based information appliances","year":2000,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":175,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; University of Patras; University of Ottawa","keywords":"Multitude; Ubiquitous computing; Event (particle physics); Wireless sensor network; Computer science; Computer security; Intelligent sensor; Risk analysis (engineering); Business; Human–computer interaction; Computer network","score_opus":0.020802721143627835,"score_gpt":0.2235237604034475,"score_spread":0.20272103925981969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108843826","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":[0.17312774,0.00006205432,0.7904681,0.003134123,0.0015940951,0.0007557271,0.000007942237,0.0009230586,0.029927142],"genre_scores_gemma":[0.9641936,0.000026008951,0.03331671,0.0019791713,0.00011428967,0.000068022186,0.00003150619,0.000013088909,0.00025761934],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99729604,0.00010041064,0.0005313217,0.00033007984,0.0013598307,0.00038232515],"domain_scores_gemma":[0.9988723,0.000025895646,0.00019293999,0.0005082242,0.00027673977,0.00012393217],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004890061,0.00023854355,0.00017765493,0.000181727,0.0001902642,0.00031082917,0.00053302257,0.00007496372,0.00028810624],"category_scores_gemma":[0.00001342984,0.00023900795,0.000076803815,0.00064546295,0.00005178323,0.0015602642,0.00001730871,0.00013753676,0.0016354414],"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":[0.000058042227,0.00016788997,0.0011818927,0.00003832035,0.000027788497,0.0000051784377,0.00030520294,0.47309887,0.0055779973,0.0014935087,0.005819156,0.51222616],"study_design_scores_gemma":[0.0045690993,0.00031008836,0.009898933,0.00018360282,0.000037489433,0.000020073629,0.00006823908,0.6809731,0.058630455,0.00019754776,0.24405922,0.0010521632],"about_ca_topic_score_codex":0.000019366096,"about_ca_topic_score_gemma":0.000012572908,"teacher_disagreement_score":0.7910658,"about_ca_system_score_codex":0.0002299004,"about_ca_system_score_gemma":0.00009249849,"threshold_uncertainty_score":0.9991419},"labels":[],"label_agreement":null},{"id":"W2113896094","doi":"10.1109/mim.2014.6810039","title":"Hydro energy generation and instrumentation &amp; measurement: hydropower plant efficiency testing","year":2014,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":19,"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; Hydro-Québec","funders":"","keywords":"Instrumentation (computer programming); Reliability engineering; Hydroelectricity; Turbine; Engineering; Generator (circuit theory); Hydropower; Automotive engineering; Efficient energy use; Power station; Power (physics); Computer science; Electrical engineering; Mechanical engineering","score_opus":0.05020940379668778,"score_gpt":0.22499367730333633,"score_spread":0.17478427350664855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113896094","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":[0.8219475,0.0004041786,0.16308218,0.0003368353,0.0031131455,0.0006236618,0.00003295381,0.0006871222,0.009772392],"genre_scores_gemma":[0.9933539,0.00006695764,0.005470114,0.00026992825,0.00039221303,0.00014168958,0.00015208121,0.0000758507,0.00007726014],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966314,0.00014815287,0.00077928643,0.00047691687,0.0015160867,0.00044818004],"domain_scores_gemma":[0.99882716,0.000048588583,0.00019526614,0.0003134287,0.00042139972,0.00019415634],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009590644,0.00040458006,0.0002809025,0.0003267243,0.00024892497,0.0001952687,0.00015426877,0.0001033293,0.00009853349],"category_scores_gemma":[0.00018533495,0.000455408,0.0000546565,0.0005186423,0.000085215586,0.00066321413,0.00002475013,0.00016160184,0.00014517817],"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":[0.000021863994,0.00011883508,0.0028281892,0.00013694276,0.000086751796,0.000001393208,0.00058068277,0.041679654,0.84104985,0.0014810882,0.0034582668,0.10855648],"study_design_scores_gemma":[0.0069406102,0.0005606499,0.017551059,0.0004094211,0.00030040476,0.00009850351,0.0001671152,0.65075976,0.23969328,0.0020987517,0.079309955,0.0021104673],"about_ca_topic_score_codex":0.000049586008,"about_ca_topic_score_gemma":0.0004467997,"teacher_disagreement_score":0.60908014,"about_ca_system_score_codex":0.00085028604,"about_ca_system_score_gemma":0.00005293436,"threshold_uncertainty_score":0.9997898},"labels":[],"label_agreement":null},{"id":"W2131157898","doi":"10.1109/mim.2007.4291218","title":"Electronic Prognostics - A Case Study Using Switched-Mode Power Supplies (SMPS)","year":2007,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Machine Fault Diagnosis 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":"Impact","funders":"Naval Air Systems Command","keywords":"Prognostics; Reliability engineering; Failure mode and effects analysis; Fault (geology); Process (computing); Power (physics); Degradation (telecommunications); Computer science; Mode (computer interface); Component (thermodynamics); Acceleration; Engineering; Electronic engineering","score_opus":0.02927580631956383,"score_gpt":0.31848084998779164,"score_spread":0.2892050436682278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131157898","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":[0.95906836,0.000099970915,0.036868077,0.000029122753,0.00046148614,0.0016983158,0.000011299044,0.00090457004,0.0008588138],"genre_scores_gemma":[0.9958325,0.000018947832,0.0037081589,0.00006802173,0.00011370282,0.00013896199,0.0000130684975,0.00009751085,0.000009097776],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972303,0.00005599877,0.00072137616,0.00036817227,0.00092589384,0.00069826405],"domain_scores_gemma":[0.9990593,0.00004878025,0.0001220723,0.00038013086,0.00024921846,0.00014046118],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012083694,0.00040613895,0.0003082473,0.0003547759,0.00014222147,0.00010544532,0.00018812789,0.00009769447,0.00009543884],"category_scores_gemma":[0.00005619213,0.0004352799,0.00007843172,0.00043715903,0.00003522829,0.00035171703,0.000028793384,0.00033909312,0.000045601668],"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":[0.00021552698,0.0034306513,0.18120508,0.00038325708,0.0009952167,0.0025252134,0.008831864,0.012366384,0.7449356,0.00041196286,0.0064285747,0.038270693],"study_design_scores_gemma":[0.00970266,0.0028001592,0.02378781,0.0003566524,0.0010303602,0.0029012319,0.007872466,0.04014993,0.90066534,0.0006881223,0.006632285,0.003412999],"about_ca_topic_score_codex":0.00019697567,"about_ca_topic_score_gemma":0.0022381323,"teacher_disagreement_score":0.15741727,"about_ca_system_score_codex":0.0010776649,"about_ca_system_score_gemma":0.000073792246,"threshold_uncertainty_score":0.9998099},"labels":[],"label_agreement":null},{"id":"W2133486676","doi":"10.1109/mim.2012.6145254","title":"Recent advances in MEMS sensor technology – biomedical applications","year":2012,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":125,"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 Federation of University Women; University of British Columbia","funders":"","keywords":"Microelectromechanical systems; Actuator; Compensation (psychology); Pressure sensor; Energy harvesting; Computer science; Robot; Electrical engineering; Electronic engineering; Engineering; Mechanical engineering; Nanotechnology; Energy (signal processing); Materials science; Artificial intelligence","score_opus":0.0254816877047877,"score_gpt":0.28470571181010007,"score_spread":0.25922402410531237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133486676","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":[0.6205141,0.007790013,0.29046226,0.014313465,0.00356488,0.0045763715,0.00013695707,0.0005075543,0.058134384],"genre_scores_gemma":[0.9970392,0.0002254493,0.0018282022,0.00010570113,0.00030102173,0.0003816328,0.000034282362,0.000013996527,0.0000704855],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99839187,0.000035325535,0.00039843842,0.00022862545,0.0005470089,0.0003987385],"domain_scores_gemma":[0.999391,0.000024295825,0.00010098117,0.00017700226,0.000114150935,0.00019255275],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037819726,0.00015340777,0.00017830556,0.00017108224,0.000066573186,0.000016719681,0.00013467496,0.00006109335,0.0009708007],"category_scores_gemma":[0.000022645156,0.00013498776,0.00004402087,0.00060440385,0.000071597715,0.00024924267,0.00002615808,0.00018096193,0.00048480224],"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":[0.000022513046,0.0007367419,0.041699003,0.000015156011,0.000021760075,3.9099416e-7,0.00003767167,0.000008297783,0.02742729,0.029398235,0.0002801165,0.90035284],"study_design_scores_gemma":[0.0015572001,0.00008671178,0.0037643022,0.00004394285,0.000034124092,0.00000153994,0.00032410328,0.00013149135,0.043457624,0.008649009,0.941633,0.0003169834],"about_ca_topic_score_codex":0.0000035077069,"about_ca_topic_score_gemma":0.0000057704597,"teacher_disagreement_score":0.94135284,"about_ca_system_score_codex":0.00012270184,"about_ca_system_score_gemma":0.000041307958,"threshold_uncertainty_score":0.9999424},"labels":[],"label_agreement":null},{"id":"W2139651652","doi":"10.1109/5289.887455","title":"The race to the attractor model for classifying objects","year":2000,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Neural dynamics and brain function","field":"Neuroscience","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 Ottawa","funders":"","keywords":"Clutter; Key (lock); Artificial intelligence; Computer science; Process (computing); Artificial neural network; Object (grammar); Cognitive neuroscience of visual object recognition; Attractor; Pattern recognition (psychology); Computer vision; Machine learning; Radar; Mathematics","score_opus":0.10354637187741583,"score_gpt":0.2940407972838655,"score_spread":0.19049442540644967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139651652","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":[0.9169953,0.00003583094,0.036520064,0.03417654,0.0034271916,0.0037156295,0.00006691515,0.0002124307,0.0048501384],"genre_scores_gemma":[0.9899094,0.0000542904,0.0003285794,0.0042099673,0.00020225115,0.00029417846,0.0000040239556,0.000025221723,0.0049720546],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980876,0.000099071745,0.00031730006,0.00036968137,0.0007867278,0.00033962535],"domain_scores_gemma":[0.999227,0.00016614962,0.00010758497,0.00030113015,0.00011574851,0.00008237136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006667263,0.00016976452,0.000106589665,0.00004210174,0.00085976126,0.00024727976,0.00030155096,0.00003479362,0.000050923765],"category_scores_gemma":[0.00023178605,0.00010352642,0.00008421405,0.00025829807,0.000049261536,0.00025505468,0.0000150787355,0.00012975803,0.00025529103],"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":[0.00027524793,0.000060567007,0.000047393605,0.000011433564,0.000008051854,6.4650885e-7,0.00034811485,0.019623075,0.83805263,0.00050590665,0.010279568,0.13078739],"study_design_scores_gemma":[0.0017463842,0.00032676657,0.0022465752,0.00004669929,0.00004974701,0.0000129587,0.00009832615,0.6805921,0.19696875,0.0012306296,0.11628063,0.00040040878],"about_ca_topic_score_codex":0.000004394093,"about_ca_topic_score_gemma":0.0001743119,"teacher_disagreement_score":0.660969,"about_ca_system_score_codex":0.00018133681,"about_ca_system_score_gemma":0.00006189727,"threshold_uncertainty_score":0.6612676},"labels":[],"label_agreement":null},{"id":"W2144154517","doi":"10.1109/mim.2013.6417055","title":"Introduction to load-pull systems and their applications","year":2013,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Radio Frequency Integrated Circuit Design","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 Calgary","funders":"","keywords":"Load pull; Amplifier; Computer science; Electronic engineering; Characterization (materials science); Transistor; Power (physics); Electrical engineering; Engineering; CMOS; Voltage; Materials science; Physics","score_opus":0.020442618490786702,"score_gpt":0.2092326417724713,"score_spread":0.1887900232816846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144154517","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":[0.40994534,0.0021044197,0.519241,0.005040335,0.006812882,0.010107061,0.000068818095,0.002449203,0.044230964],"genre_scores_gemma":[0.9971007,0.00004376565,0.00029342528,0.00009331659,0.0006622075,0.0015425956,0.000017184728,0.00004335652,0.00020345983],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985662,0.000044143868,0.0003956496,0.00030182887,0.0004315071,0.00026064922],"domain_scores_gemma":[0.99904174,0.000011742487,0.000053298874,0.00031670183,0.00041987174,0.00015667855],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003260714,0.00023496378,0.00018591918,0.00016468523,0.00008191144,0.00017264496,0.000127948,0.00006629568,0.0001456138],"category_scores_gemma":[0.00002187735,0.00021959124,0.000029149152,0.00036123543,0.000029634797,0.00042384063,0.0000021186574,0.00013404909,0.0013052528],"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":[0.0000028759118,0.000023603143,0.00012594517,0.00006896151,0.000059197595,2.4884727e-7,0.00026935266,0.00846084,0.9118215,0.00037797441,0.047993753,0.03079574],"study_design_scores_gemma":[0.0017366128,0.00028835217,0.006012797,0.0001777594,0.00010445827,0.000110888934,0.0013416475,0.019684277,0.7287631,0.0013349878,0.23908694,0.0013581979],"about_ca_topic_score_codex":0.00007587506,"about_ca_topic_score_gemma":0.000026576523,"teacher_disagreement_score":0.58715534,"about_ca_system_score_codex":0.0007958689,"about_ca_system_score_gemma":0.000038286304,"threshold_uncertainty_score":0.9994723},"labels":[],"label_agreement":null},{"id":"W2159939908","doi":"10.1109/mim.2008.4630735","title":"Reconsidering the fundamentals","year":2008,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","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":"","keywords":"Instrumentation (computer programming); Event (particle physics); Column (typography); Engineering; Library science; Operations research; Management; Computer science; Telecommunications; Aeronautics; Operating system","score_opus":0.2014287028959412,"score_gpt":0.25955757322808526,"score_spread":0.05812887033214406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159939908","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":[0.8347694,0.0004914196,0.13361101,0.01138634,0.0052485145,0.0015298678,0.0000034879786,0.0012304521,0.011729514],"genre_scores_gemma":[0.99542224,0.000057579025,0.002892878,0.0010298177,0.00010678201,0.00010167136,0.00000176551,0.0000142201625,0.0003730274],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973953,0.00016819344,0.00050231616,0.00042865134,0.0011335267,0.00037205077],"domain_scores_gemma":[0.99867696,0.000037407804,0.00023667638,0.0007372078,0.00023088328,0.000080876176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010698288,0.00022205137,0.0001962864,0.00016359209,0.0005816138,0.00008974079,0.0007419784,0.000077080826,0.0000573624],"category_scores_gemma":[0.00007138315,0.00017277499,0.00009187958,0.00044130083,0.00014197241,0.0006116396,0.000029744668,0.00019841091,0.0007313802],"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":[0.00003487639,0.0002668166,0.02766958,0.000041498755,0.0002030157,0.00006880291,0.0030363516,0.00018570753,0.87945163,0.0051252106,0.04403971,0.03987679],"study_design_scores_gemma":[0.0029955478,0.00023549126,0.032196615,0.00012711168,0.00004480451,0.0009446592,0.00042888446,0.0014402136,0.91080254,0.0018417763,0.048193093,0.0007492725],"about_ca_topic_score_codex":0.000010620978,"about_ca_topic_score_gemma":0.000048433725,"teacher_disagreement_score":0.16065286,"about_ca_system_score_codex":0.00025587538,"about_ca_system_score_gemma":0.00010018823,"threshold_uncertainty_score":0.9400657},"labels":[],"label_agreement":null},{"id":"W2167858878","doi":"10.1109/mim.2014.6873723","title":"Versatile 20 GHz wideband RF digitizer for test and measurement","year":2014,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Radio Frequency Integrated Circuit Design","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":"Carleton University; Algonquin College; University of Manitoba","funders":"","keywords":"Narrowband; Wideband; Bandwidth (computing); Electronic engineering; Wireless; Instrumentation (computer programming); Radio frequency; Automatic test equipment; Electrical engineering; Computer science; Amplitude; Engineering; Telecommunications; Physics; Optics","score_opus":0.03249985272078872,"score_gpt":0.21949463302811012,"score_spread":0.1869947803073214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167858878","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":[0.26351678,0.0019429867,0.5715742,0.0026106832,0.008527517,0.007763196,0.00038395243,0.003992602,0.13968809],"genre_scores_gemma":[0.99839103,0.000045797828,0.0006323504,0.00019558815,0.00021228209,0.00031839675,0.000033425327,0.00008006624,0.000091035225],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975303,0.000045575864,0.0005556732,0.00038352204,0.0010404199,0.00044452178],"domain_scores_gemma":[0.9988504,0.00008711333,0.00010141629,0.00030900227,0.0004714723,0.0001806097],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010299851,0.00036614118,0.00031540674,0.00017656235,0.00012799827,0.00016086666,0.00016867266,0.00010345852,0.000056249435],"category_scores_gemma":[0.0003105264,0.00037426775,0.00007990099,0.00020272617,0.000066846114,0.00042235228,0.0000026062412,0.00015114495,0.00009780396],"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":[0.000027754191,0.000072794726,0.0024659608,0.00020187342,0.00014060266,0.0000014200928,0.00025075243,0.0026437724,0.9064845,0.00013291732,0.044723697,0.042853992],"study_design_scores_gemma":[0.0063962042,0.0006890401,0.0057038446,0.00038927098,0.0002298731,0.000026941243,0.00014032426,0.021841777,0.887613,0.0018659602,0.07397058,0.0011331566],"about_ca_topic_score_codex":0.000011877866,"about_ca_topic_score_gemma":0.00010415305,"teacher_disagreement_score":0.7348743,"about_ca_system_score_codex":0.000712545,"about_ca_system_score_gemma":0.000060378436,"threshold_uncertainty_score":0.9998709},"labels":[],"label_agreement":null},{"id":"W2221547360","doi":"10.1109/mim.2015.7271221","title":"Touch sensing for humanoid robots","year":2015,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Advanced Sensor and Energy Harvesting Materials","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":"Université du Québec en Outaouais","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Humanoid robot; Robot; Human–computer interaction; Computer science; Artificial intelligence; Perception; Tactile sensor; Variety (cybernetics); Robotics; Engineering; Computer vision","score_opus":0.09340453637590211,"score_gpt":0.2722196528093393,"score_spread":0.17881511643343717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2221547360","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":[0.69478893,0.00011974384,0.28634897,0.00017828075,0.005911001,0.0007282563,0.00002471377,0.0011192717,0.010780817],"genre_scores_gemma":[0.9772198,0.000008339846,0.021890644,0.00009306552,0.00038766235,0.00002940134,0.000041846044,0.000057097863,0.00027211572],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99876773,0.000026310154,0.000343597,0.00018752285,0.0003949447,0.0002798835],"domain_scores_gemma":[0.99937546,0.000015189703,0.000060518712,0.00016563566,0.0002575159,0.0001256623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030831833,0.00019105859,0.00019059257,0.000085358035,0.00007165499,0.00007160343,0.000074645104,0.000050791128,0.000015782878],"category_scores_gemma":[0.000074503805,0.00020387006,0.00004419752,0.000103999526,0.000020554771,0.00027239122,0.0000072099365,0.000052244577,0.00008365445],"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":[0.000041111707,0.00001747293,0.00005694422,0.00007433077,0.000041256317,0.0000023332448,0.00019675684,0.2664038,0.71043026,0.000092276474,0.008530093,0.01411335],"study_design_scores_gemma":[0.0037262968,0.00018027528,0.00067480153,0.00012679312,0.00008832031,0.000021584923,0.0001463687,0.024663353,0.93595934,0.0017690631,0.031975858,0.000667963],"about_ca_topic_score_codex":0.0000075750786,"about_ca_topic_score_gemma":0.000032939897,"teacher_disagreement_score":0.2824309,"about_ca_system_score_codex":0.00028650224,"about_ca_system_score_gemma":0.000031177115,"threshold_uncertainty_score":0.83135796},"labels":[],"label_agreement":null},{"id":"W2242756915","doi":"10.1109/mim.2016.7384954","title":"You are what you eat: So measure what you eat!","year":2016,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":33,"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":"Dieticians; Calorie; Computer science; Measure (data warehouse); Artificial intelligence; Food energy; Process (computing); Machine learning; Risk analysis (engineering); Data mining; Medicine","score_opus":0.028039371385149756,"score_gpt":0.23156245047781238,"score_spread":0.20352307909266262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2242756915","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":[0.9554583,0.0061052735,0.017809968,0.007862284,0.005561509,0.0014407121,0.00006379267,0.004424575,0.0012736077],"genre_scores_gemma":[0.99315494,0.004148725,0.0014974114,0.00023853245,0.00026307366,0.00016290492,0.000022616887,0.00013163168,0.00038015252],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9963403,0.000047845602,0.00073164894,0.0006555166,0.0014548703,0.0007698467],"domain_scores_gemma":[0.99838763,0.00004078913,0.00022413011,0.00076867297,0.0003780098,0.00020076486],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025909228,0.0006027668,0.00047862902,0.00024109025,0.0001622925,0.00044304287,0.00048984913,0.0002920462,0.00023704788],"category_scores_gemma":[0.00018254705,0.0004976828,0.00016556284,0.00044046043,0.00020745643,0.00339371,0.000057704223,0.00032162628,0.0007991598],"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":[0.00003825344,0.000054943688,0.00096176704,0.000068970345,0.00009964113,0.000010849298,0.00013296289,0.00065986166,0.7329036,0.000033960063,0.001963743,0.26307145],"study_design_scores_gemma":[0.0024377475,0.00008986943,0.0016859444,0.0011591256,0.00008673945,0.000017707833,0.0012303005,0.00017224268,0.9572676,0.00086005835,0.034192972,0.00079972175],"about_ca_topic_score_codex":0.000003710802,"about_ca_topic_score_gemma":0.000048993978,"teacher_disagreement_score":0.26227173,"about_ca_system_score_codex":0.0011658691,"about_ca_system_score_gemma":0.000021093492,"threshold_uncertainty_score":0.99997884},"labels":[],"label_agreement":null},{"id":"W2577080715","doi":"10.1109/5289.988738","title":"Computer-controlled human operators","year":2002,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Robotics and Automated Systems","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":"Communications Research Centre Canada; University of Ottawa","funders":"","keywords":"Computer science; Human–computer interaction","score_opus":0.038360856967895936,"score_gpt":0.22786242346796956,"score_spread":0.18950156650007363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2577080715","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":[0.9382568,0.00045244154,0.02737289,0.00028593672,0.005329318,0.0015238844,0.000012428052,0.0015796574,0.02518662],"genre_scores_gemma":[0.99854684,0.000026329843,0.00072247826,0.00008665545,0.00028512254,0.00006452288,0.000010398776,0.000041770785,0.00021585601],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983527,0.000049159982,0.00054470595,0.00019374883,0.00059207226,0.0002676236],"domain_scores_gemma":[0.9994906,0.000007714285,0.00007047969,0.00021199661,0.00012138099,0.00009783389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028830144,0.00022717645,0.0003156399,0.00014380456,0.00012351437,0.0001386022,0.00013865807,0.000060779952,0.00036833313],"category_scores_gemma":[0.0000047165545,0.00021723796,0.000088001754,0.00018491459,0.000018408587,0.00019701448,0.000007844057,0.00010617902,0.0007062954],"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":[0.000021055987,0.00030130043,0.0021639906,0.00022285325,0.0005037777,0.000026641203,0.00080168754,0.28100523,0.6030711,0.0005036274,0.08342047,0.027958252],"study_design_scores_gemma":[0.012804516,0.00021397564,0.004095247,0.00018645519,0.00009511873,0.000017879973,0.000049233073,0.9462095,0.026940076,0.000037939815,0.008620346,0.00072973483],"about_ca_topic_score_codex":0.0000051166994,"about_ca_topic_score_gemma":0.000015924143,"teacher_disagreement_score":0.6652043,"about_ca_system_score_codex":0.00020534232,"about_ca_system_score_gemma":0.000005445968,"threshold_uncertainty_score":0.90782344},"labels":[],"label_agreement":null},{"id":"W2945954498","doi":"10.1109/mim.2019.8716271","title":"Mole: The unit of chemical amount","year":2019,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","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":"","keywords":"International System of Units; Kilogram; Ampere; Units of measurement; Unit (ring theory); Metre; Base (topology); Engineering; Electrical engineering; Computer science; Mathematics; Physics; Statistics; Metrology; Mathematics education; Mathematical analysis; Body weight; Quantum mechanics; Current (fluid)","score_opus":0.2209052203901801,"score_gpt":0.37528707097806596,"score_spread":0.15438185058788587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945954498","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":[0.980949,0.000046823683,0.0012460406,0.0018374561,0.0023932941,0.00087697984,0.000010253769,0.000032472093,0.012607683],"genre_scores_gemma":[0.99758065,0.0000027751685,0.00026587257,0.00029468688,0.000093234274,0.000031266474,0.000015124939,0.00001203119,0.0017043778],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.98989296,0.00039569108,0.0011611044,0.00053898036,0.007719016,0.0002922212],"domain_scores_gemma":[0.9960259,0.00025126082,0.00066114176,0.00090416527,0.0020658341,0.00009164933],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.012047257,0.00020008057,0.0002984972,0.0002738834,0.000104682054,0.00021351116,0.00090715615,0.000066633685,0.0034554314],"category_scores_gemma":[0.0011827002,0.00012666963,0.00015727543,0.0012288278,0.00015122097,0.0004346737,0.000056185603,0.00014749623,0.002445547],"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":[0.00013838473,0.0001374535,0.028497463,0.00001406631,0.00004340843,3.694198e-7,0.00083658716,0.0007707785,0.91148615,0.0010748787,0.01857963,0.03842084],"study_design_scores_gemma":[0.0050820466,0.0003112583,0.109636255,0.00013979267,0.00014646006,0.000008411741,0.002755073,0.0156018045,0.81933993,0.011752473,0.03462502,0.0006014657],"about_ca_topic_score_codex":0.000022410639,"about_ca_topic_score_gemma":0.000044657583,"teacher_disagreement_score":0.092146195,"about_ca_system_score_codex":0.00017915496,"about_ca_system_score_gemma":0.00018632638,"threshold_uncertainty_score":0.9983312},"labels":[],"label_agreement":null},{"id":"W3154954796","doi":"10.1109/mim.2021.9400956","title":"Synchronous Demodulation for Low Noise Measurements","year":2021,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Advanced MEMS and NEMS 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":"Simon Fraser University","funders":"","keywords":"Demodulation; Computer science; Narrowband; Electronic engineering; Bandwidth (computing); Multiplier (economics); Noise (video); Filter (signal processing); Noise measurement; Noise reduction; Telecommunications; Engineering; Artificial intelligence","score_opus":0.041520212830866585,"score_gpt":0.2558838420886957,"score_spread":0.2143636292578291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154954796","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":[0.7555488,0.0006815818,0.23518954,0.00038256476,0.002760391,0.0011415653,0.00003762819,0.0013306553,0.002927263],"genre_scores_gemma":[0.9815489,0.00011979877,0.017644722,0.00008680489,0.00013251978,0.00023820318,0.000065287815,0.000053423242,0.00011033473],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99838704,0.00001113227,0.00040257786,0.00029619152,0.00057370344,0.00032937547],"domain_scores_gemma":[0.9991163,0.000016237314,0.00007834171,0.0002893759,0.0004318091,0.00006791795],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025417772,0.00023361242,0.00021756168,0.00011158124,0.00011674836,0.00005320621,0.00011343008,0.000099007404,0.00005915562],"category_scores_gemma":[0.00009287625,0.00025967462,0.00008740404,0.00024761283,0.000028476976,0.0003435532,0.000013947456,0.00010471968,0.00006904268],"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":[0.000016848671,0.000059787762,0.00028737425,0.00013470367,0.000064497224,0.0000023507207,0.0000402563,0.010374891,0.9024788,0.000040661813,0.0018643948,0.084635414],"study_design_scores_gemma":[0.0017927687,0.000064160944,0.00586782,0.00011230966,0.000052460586,0.00000762855,0.00006192881,0.0032414105,0.98129034,0.00076174573,0.0064160293,0.00033137505],"about_ca_topic_score_codex":0.0000015705067,"about_ca_topic_score_gemma":0.00007069428,"teacher_disagreement_score":0.2260001,"about_ca_system_score_codex":0.0004988589,"about_ca_system_score_gemma":0.00005716612,"threshold_uncertainty_score":0.9999856},"labels":[],"label_agreement":null},{"id":"W3155588681","doi":"10.1109/mim.2021.9400952","title":"Biomedical Diagnosis of Infant Cry Signal Based on Analysis of Cepstrum by Deep Feedforward Artificial Neural Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Infant Health and Development","field":"Health Professions","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":"Cepstrum; Computer science; Artificial neural network; Speech recognition; Artificial intelligence; Mel-frequency cepstrum; SIGNAL (programming language); Field (mathematics); Feedforward neural network; Clinical diagnosis; Signal processing; Pattern recognition (psychology); Machine learning; Feature extraction; Digital signal processing; Medicine","score_opus":0.05377505315013978,"score_gpt":0.3471300740282298,"score_spread":0.29335502087809007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155588681","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":[0.95219123,0.00016510657,0.0389882,0.0036001322,0.0022885646,0.0012576164,0.00032734007,0.000077229204,0.0011045482],"genre_scores_gemma":[0.99483097,0.000052675165,0.0010369904,0.0027902082,0.00016369151,0.0002558539,0.00081459625,0.000025917203,0.000029097908],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9941359,0.00073200616,0.0020579316,0.00048030037,0.0019136403,0.0006802208],"domain_scores_gemma":[0.9970084,0.00036962438,0.0009274208,0.0003899193,0.00097223313,0.00033244622],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017171601,0.00029530752,0.0007904735,0.0006263268,0.00033393293,0.000013311289,0.00018248553,0.00025279287,0.0024307338],"category_scores_gemma":[0.00022827077,0.00027855462,0.00025632093,0.0018963895,0.00012089393,0.000116837895,0.000043336855,0.00046437868,0.00003702872],"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":[0.0019721603,0.00212846,0.8431087,0.00090300373,0.0014161124,0.000026546775,0.001679986,0.03010812,0.028059205,0.00022602799,0.026643218,0.06372847],"study_design_scores_gemma":[0.0077512087,0.001332286,0.43565553,0.0008624479,0.0022860763,0.0000016039165,0.0021316563,0.48721877,0.05344569,0.00009978247,0.008208555,0.0010063882],"about_ca_topic_score_codex":0.00014019055,"about_ca_topic_score_gemma":0.0004675214,"teacher_disagreement_score":0.45711064,"about_ca_system_score_codex":0.00044213404,"about_ca_system_score_gemma":0.0008350939,"threshold_uncertainty_score":0.9999667},"labels":[],"label_agreement":null},{"id":"W3161130397","doi":"10.1109/mim.2021.9436097","title":"A Modern Solution for an Old Calibration Problem","year":2021,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Robotics and Sensor-Based Localization","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":"Western University","funders":"","keywords":"Computer vision; Artificial intelligence; Visual servoing; Robot calibration; Coordinate system; Robot end effector; Robot; Camera auto-calibration; Cartesian coordinate robot; Transformation matrix; Computer science; Robot kinematics; Frame (networking); Transformation (genetics); Camera resectioning; Kinematics; Mobile robot","score_opus":0.05026403560852995,"score_gpt":0.24815689631692225,"score_spread":0.1978928607083923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161130397","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":[0.047071204,0.000070799746,0.95031,0.00029236768,0.00065105833,0.0005710865,0.000022966022,0.00027835317,0.000732179],"genre_scores_gemma":[0.9782462,0.00003144336,0.02051236,0.00019273745,0.0001801123,0.00012557583,0.0005100766,0.000052230866,0.00014926156],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862415,0.00004815399,0.00037812645,0.00025323004,0.00046494204,0.00023140355],"domain_scores_gemma":[0.99926794,0.000009233209,0.00006146347,0.00019655029,0.00037571494,0.000089093584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025184226,0.00017058098,0.00014503009,0.000085810505,0.00011096308,0.00011903174,0.00006171277,0.00007948106,0.000032102744],"category_scores_gemma":[0.000018597091,0.00019635806,0.000056478144,0.00019398441,0.000013541745,0.0004959881,0.000004947061,0.00006676558,0.000015198957],"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":[0.000022453201,0.00008701818,0.0002073538,0.00012567107,0.000034071316,0.0000010567838,0.00022556755,0.41138628,0.56259084,0.00061474903,0.0021298442,0.02257511],"study_design_scores_gemma":[0.0010770132,0.00009077603,0.0003723544,0.000039991406,0.000042353982,0.0000038330318,0.000026907242,0.87016046,0.12571838,0.0011188211,0.001141841,0.00020724432],"about_ca_topic_score_codex":0.000007869705,"about_ca_topic_score_gemma":0.00023568043,"teacher_disagreement_score":0.931175,"about_ca_system_score_codex":0.00026479314,"about_ca_system_score_gemma":0.000062729116,"threshold_uncertainty_score":0.8007249},"labels":[],"label_agreement":null},{"id":"W3163239157","doi":"10.1109/mim.2021.9436100","title":"Measurement of Voltage, Current and Power at Distorted Waveforms","year":2021,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Advanced Electrical 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":"Voltage; Electrical engineering; Current (fluid); Waveform; Power (physics); Electric power system; Electric power; Total harmonic distortion; Alternating current; Voltage optimisation; Engineering; Physics; AC power","score_opus":0.02783074102059685,"score_gpt":0.2503920250956253,"score_spread":0.22256128407502845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163239157","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":[0.71798587,0.016366724,0.24875976,0.00034942894,0.003540114,0.0021650943,0.00006967757,0.0017474066,0.009015917],"genre_scores_gemma":[0.99789447,0.00060652016,0.0011973482,0.00004163732,0.000047683247,0.00009333778,0.000020265954,0.00005862241,0.000040111227],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99646544,0.00005255148,0.00075872376,0.00039899856,0.0019094954,0.0004147916],"domain_scores_gemma":[0.99839854,0.000011953892,0.00016274025,0.00037606742,0.00087400374,0.000176718],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006139559,0.00035854892,0.00039360413,0.00017839708,0.000094030474,0.000030956195,0.00013551603,0.000082637256,0.00011785046],"category_scores_gemma":[0.00012496242,0.00035758255,0.00010078691,0.0004623157,0.00006947939,0.00031107292,0.00004513159,0.00021933332,0.00003135765],"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":[0.000042426273,0.0001682946,0.0034581602,0.00027665432,0.000113871,0.0000057297057,0.00010232198,0.00023367425,0.92186904,0.00011691371,0.0030449093,0.07056798],"study_design_scores_gemma":[0.0015917545,0.00016191357,0.026613966,0.000331736,0.000101574544,0.000017037813,0.000027631333,0.0007279916,0.94985515,0.00045291564,0.019612208,0.00050610414],"about_ca_topic_score_codex":0.0000032904923,"about_ca_topic_score_gemma":0.00008471605,"teacher_disagreement_score":0.2799086,"about_ca_system_score_codex":0.0015615895,"about_ca_system_score_gemma":0.000076107455,"threshold_uncertainty_score":0.9998876},"labels":[],"label_agreement":null},{"id":"W3164235756","doi":"10.1109/mim.2021.9436101","title":"Internet of Things (IoT) in Canadian Smart Cities: An Overview","year":2021,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"IoT Networks and Protocols","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":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Internet of Things; Leverage (statistics); Computer security; Computer science; Actuator; The Internet; Telecommunications; World Wide Web; Artificial intelligence","score_opus":0.07090046709585617,"score_gpt":0.27387672313774,"score_spread":0.2029762560418838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164235756","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":[0.9553425,0.0018124335,0.0022237247,0.00044710014,0.002580505,0.0044010435,0.000032861575,0.00022895935,0.0329309],"genre_scores_gemma":[0.9981067,0.00009251277,0.0008507242,0.0003525481,0.00006622704,0.0003248553,0.0000419841,0.000028792272,0.00013566314],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986594,0.00006699472,0.0004257612,0.00017109564,0.00037400002,0.0003027537],"domain_scores_gemma":[0.9994453,0.0000093358985,0.000051473602,0.00019949072,0.00014877721,0.00014558871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049463107,0.00015376385,0.00020734407,0.00015635474,0.000021909149,0.000048468486,0.00012222248,0.00006950728,0.00058884895],"category_scores_gemma":[0.000015317883,0.00017559866,0.00004490487,0.00029573982,0.000018319675,0.00027218543,0.000009020378,0.00013976805,0.00004066027],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021350631,0.0006452395,0.30196622,0.0045709633,0.0006495652,0.00030599406,0.019867677,0.064964294,0.17773978,0.0068754773,0.051951095,0.37025017],"study_design_scores_gemma":[0.008477099,0.00063883554,0.22950353,0.0041643577,0.00013869518,0.00006608036,0.0010365426,0.18412863,0.30770618,0.0027238461,0.25924748,0.0021687301],"about_ca_topic_score_codex":0.013776303,"about_ca_topic_score_gemma":0.18720213,"teacher_disagreement_score":0.36808145,"about_ca_system_score_codex":0.00048626366,"about_ca_system_score_gemma":0.00019356521,"threshold_uncertainty_score":0.99279106},"labels":[],"label_agreement":null},{"id":"W3164681741","doi":"10.1109/mim.2021.9436089","title":"Visual Multi-Face Tracking Applied to Council Proceedings","year":2021,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Face recognition and analysis","field":"Computer Science","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 Ottawa","funders":"","keywords":"Computer science; Artificial intelligence; Computer vision; Zoom; Video tracking; Benchmark (surveying); Facial recognition system; Tracking (education); Face detection; Classifier (UML); Detector; Context (archaeology); Facial motion capture; Eye tracking; Face (sociological concept); Tracking system; Object-class detection; Feature extraction; Object (grammar); Kalman filter; Engineering","score_opus":0.1001914702218439,"score_gpt":0.2824932801443477,"score_spread":0.18230180992250383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164681741","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":[0.16567671,0.00006555953,0.82042646,0.0044536316,0.0008189864,0.0005930855,0.0000064042656,0.00043934496,0.0075198323],"genre_scores_gemma":[0.9608228,0.000015875736,0.03634392,0.0020716847,0.00007661631,0.00007723402,0.000008997203,0.000016847003,0.0005660088],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967352,0.000029494491,0.00042123,0.0006030881,0.0018792883,0.0003316929],"domain_scores_gemma":[0.9977597,0.000011682628,0.0001413767,0.00019016155,0.0016934603,0.00020360481],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008075279,0.00021700865,0.00023155942,0.00013743542,0.00017561074,0.000477942,0.0003057119,0.000053090534,0.000114028066],"category_scores_gemma":[0.00011377588,0.00023110765,0.00009484994,0.0010475109,0.000019141917,0.0005790495,0.0000674244,0.00012383041,0.0009091069],"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":[0.000018067574,0.00040145853,0.0007500351,0.000051175655,0.00008822459,0.000010365745,0.0016070695,0.00044197094,0.853169,0.00062370166,0.0039168806,0.13892202],"study_design_scores_gemma":[0.003973904,0.00014097868,0.010539155,0.00017014958,0.00010866,0.00003264405,0.0011683109,0.040586296,0.9196694,0.0001704728,0.022518368,0.0009216817],"about_ca_topic_score_codex":0.0000063810685,"about_ca_topic_score_gemma":0.00010760667,"teacher_disagreement_score":0.7951461,"about_ca_system_score_codex":0.0006742441,"about_ca_system_score_gemma":0.00035848716,"threshold_uncertainty_score":0.9998688},"labels":[],"label_agreement":null},{"id":"W3164791059","doi":"10.1109/mim.2021.9436102","title":"Machine Learning in Measurement Part 2: Uncertainty Quantification","year":2021,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":61,"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":"Usability; Computer science; Measurement uncertainty; Uncertainty quantification; Software deployment; Artificial intelligence; Risk analysis (engineering); Machine learning; Human–computer interaction; Software engineering; Mathematics; Statistics","score_opus":0.06298068963506236,"score_gpt":0.2769282678517717,"score_spread":0.21394757821670934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164791059","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":[0.030062674,0.00065413467,0.95335394,0.0069864374,0.0033903015,0.0007276877,0.000004870494,0.00059008214,0.004229889],"genre_scores_gemma":[0.9866019,0.00009259917,0.012374691,0.00035353022,0.00014615401,0.00008281785,0.000050867646,0.00003025923,0.00026721566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99455345,0.00077006465,0.000862712,0.00087503425,0.0024289587,0.0005098003],"domain_scores_gemma":[0.9977974,0.000056910147,0.00039244935,0.0006584052,0.0009585918,0.00013622841],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003359282,0.00033013234,0.00034009712,0.00028561003,0.00027280886,0.00028142,0.00057622796,0.000097845696,0.00014352484],"category_scores_gemma":[0.0008005717,0.00036188844,0.00010623601,0.0011628914,0.00004655245,0.0008965681,0.00013793875,0.000550377,0.00021277268],"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":[0.00012320616,0.00081940286,0.05284063,0.0001706817,0.00014980184,0.00014118098,0.0017785579,0.50845844,0.18242623,0.014873265,0.001391264,0.23682736],"study_design_scores_gemma":[0.008273226,0.0003061981,0.062478513,0.0007041525,0.00009728722,0.00007541882,0.00044527274,0.7735711,0.06668886,0.0024661003,0.08320994,0.0016839469],"about_ca_topic_score_codex":0.0001071371,"about_ca_topic_score_gemma":0.00082028145,"teacher_disagreement_score":0.9565392,"about_ca_system_score_codex":0.0011564727,"about_ca_system_score_gemma":0.00046043933,"threshold_uncertainty_score":0.9998833},"labels":[],"label_agreement":null},{"id":"W3165033857","doi":"10.1109/mim.2021.9436090","title":"The Potential of Digital Twins","year":2021,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":63,"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":"Mandate; Twin cities; Quality (philosophy); Electrification; Politics; Face (sociological concept); Business; Telecommunications; Engineering; Computer science; Political science; Geography; Electrical engineering; Sociology","score_opus":0.027437404202091467,"score_gpt":0.22714496410398974,"score_spread":0.19970755990189826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165033857","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":[0.6974264,0.0004429359,0.038668055,0.0013190387,0.0058482885,0.00062099495,0.00019737886,0.0005414507,0.25493547],"genre_scores_gemma":[0.999356,0.0000546879,0.00014428233,0.000023508277,0.00007696442,0.000019114479,0.00003450648,0.000020790805,0.0002701621],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985276,0.000015708838,0.0004475582,0.000105570645,0.0007161703,0.00018738025],"domain_scores_gemma":[0.99938285,0.000017749715,0.0000570481,0.00020095328,0.0002851826,0.000056228495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015836328,0.00012850661,0.0001111954,0.000045714238,0.00007357923,0.00018726804,0.00012826278,0.000047779926,0.00008038894],"category_scores_gemma":[0.00002776001,0.00011433245,0.00007555938,0.00023735136,0.000055070817,0.0006268914,0.0000100697725,0.00011306689,0.00013757408],"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":[0.00008668659,0.0003618202,0.0043390724,0.00045891842,0.000690155,0.000032486303,0.0006789189,0.077000566,0.49781525,0.0037245827,0.036676068,0.37813547],"study_design_scores_gemma":[0.003729606,0.00013343927,0.018061416,0.00022446024,0.00012986039,0.000098171215,0.0020779467,0.0076654996,0.8596787,0.0021447518,0.105283454,0.0007727314],"about_ca_topic_score_codex":5.004611e-7,"about_ca_topic_score_gemma":0.0000072390417,"teacher_disagreement_score":0.37736273,"about_ca_system_score_codex":0.00011784645,"about_ca_system_score_gemma":0.000059711976,"threshold_uncertainty_score":0.4662342},"labels":[],"label_agreement":null},{"id":"W3165461565","doi":"10.1109/mim.2021.9436092","title":"An Overview of IoT-Enabled Monitoring and Control Systems for Electric Vehicles","year":2021,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":71,"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 Windsor","funders":"","keywords":"Internet of Things; Pace; Smart city; Battery (electricity); Wireless sensor network; Computer science; Cloud computing; Efficient energy use; Electric vehicle; Smart grid; Computer security; Systems engineering; Telecommunications; Engineering; Computer network; Electrical engineering","score_opus":0.051642082920377266,"score_gpt":0.2667346750215015,"score_spread":0.21509259210112425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165461565","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":[0.963727,0.009291464,0.023646738,0.000077730394,0.0019412575,0.00076893833,0.000017007413,0.00021437951,0.00031550182],"genre_scores_gemma":[0.99776214,0.0010183597,0.0006955376,0.000020653983,0.00023235676,0.00019156437,0.000011989149,0.000038862974,0.000028503657],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985709,0.00006277791,0.00042840524,0.00022664196,0.00046849877,0.00024275156],"domain_scores_gemma":[0.9992819,0.000030398498,0.00008762443,0.00023027709,0.00029168866,0.00007811348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004541269,0.00018035599,0.0002748329,0.00013265286,0.000056205918,0.00007231039,0.00008909881,0.000047615886,0.000008663832],"category_scores_gemma":[0.000024767593,0.00020035512,0.000048151876,0.0002584443,0.000011295556,0.00019130619,0.000007623965,0.000059503946,0.0000044117223],"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":[0.000028463643,0.00005984222,0.0047387024,0.00076160795,0.00019799595,0.0000027039882,0.000058991933,0.17444912,0.812473,0.00028646892,0.00042512856,0.00651799],"study_design_scores_gemma":[0.0055937055,0.00026331522,0.050610207,0.0004031782,0.00032573723,0.00001000921,0.00023741277,0.2434537,0.6930209,0.00011042605,0.005477741,0.00049369497],"about_ca_topic_score_codex":0.0000142096915,"about_ca_topic_score_gemma":0.000010100752,"teacher_disagreement_score":0.119452104,"about_ca_system_score_codex":0.0002098024,"about_ca_system_score_gemma":0.00003111902,"threshold_uncertainty_score":0.81702447},"labels":[],"label_agreement":null},{"id":"W3195635506","doi":"10.1109/mim.2021.9513645","title":"Measuring Cognitive Status from Speech in a Smart Home Environment","year":2021,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Emotion and Mood Recognition","field":"Psychology","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":"Carleton University; National Research Council Canada","funders":"","keywords":"Home automation; Smart phone; Phone; Population; Cognition; Internet of Things","score_opus":0.08761694907769019,"score_gpt":0.286130611944052,"score_spread":0.1985136628663618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195635506","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":[0.9724828,0.0004361985,0.0022955076,0.0004484604,0.0020676134,0.000563818,0.00011882785,0.000084907304,0.021501856],"genre_scores_gemma":[0.9968747,0.00016656253,0.00084190397,0.00061727746,0.00016483065,0.00015801752,0.00043182954,0.000039325252,0.00070557965],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9969005,0.00041043418,0.00061327626,0.00064334937,0.0009532092,0.00047920246],"domain_scores_gemma":[0.99909824,0.00005571213,0.00019326579,0.00026075015,0.00022094462,0.00017105637],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00052188494,0.00026587053,0.00028213995,0.00022526912,0.00008339275,0.00006369707,0.000084433974,0.0001245493,0.00668784],"category_scores_gemma":[0.00006431167,0.0003063637,0.00009845776,0.0002808102,0.000054884844,0.00022851767,0.000029770967,0.00027018192,0.0039230254],"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":[0.000804756,0.0032706812,0.235988,0.00007029307,0.0006257482,0.0005635333,0.0067631966,0.000054521206,0.26459473,0.000231928,0.0028070456,0.48422557],"study_design_scores_gemma":[0.011127062,0.00018966198,0.8804913,0.00033922264,0.00016111335,0.000036302226,0.003680746,0.0000480449,0.09603192,0.0009158118,0.006371538,0.00060722855],"about_ca_topic_score_codex":0.00028717914,"about_ca_topic_score_gemma":0.0010752708,"teacher_disagreement_score":0.64450336,"about_ca_system_score_codex":0.00053304684,"about_ca_system_score_gemma":0.00010464167,"threshold_uncertainty_score":0.99993885},"labels":[],"label_agreement":null},{"id":"W3196258207","doi":"10.1109/mim.2021.9513635","title":"DTCoach: Your Digital Twin Coach on the Edge During COVID-19 and Beyond","year":2021,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":65,"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":"Identical twins; Domain (mathematical analysis); Computer science; Replica; Coronavirus disease 2019 (COVID-19); Enhanced Data Rates for GSM Evolution; Digital health; Artificial intelligence; Health care; Medicine; Disease; Mathematics","score_opus":0.06438447714673594,"score_gpt":0.2576053072873772,"score_spread":0.19322083014064123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196258207","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":[0.88822025,0.00010068606,0.002859865,0.0030640739,0.00095812435,0.00048463047,0.00014447894,0.0003857108,0.10378221],"genre_scores_gemma":[0.99855083,0.000035764202,0.000083462764,0.0007139747,0.000112046815,0.00006627282,0.00006314618,0.000037965863,0.00033656182],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982584,0.00003782151,0.00041651452,0.0002424444,0.0007676366,0.00027717234],"domain_scores_gemma":[0.99931157,0.000053093674,0.000056752233,0.00026479032,0.00011750839,0.00019630049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002654536,0.00024202537,0.00016063696,0.00010386122,0.00019436945,0.00041686487,0.00013587641,0.00007892548,0.00019808978],"category_scores_gemma":[0.000112511174,0.00021822835,0.000058949325,0.00029143822,0.00006656531,0.00076755957,0.000020776992,0.00024615275,0.0002123215],"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":[0.0005773744,0.001775379,0.06931962,0.0047239005,0.0022161978,0.00038518422,0.018245587,0.14069264,0.4592029,0.024357772,0.14895293,0.12955052],"study_design_scores_gemma":[0.016846197,0.00044247476,0.062246975,0.000643794,0.00030641057,0.0007185625,0.016916469,0.007903489,0.6969443,0.0038650024,0.18967229,0.0034940585],"about_ca_topic_score_codex":0.0000013168371,"about_ca_topic_score_gemma":0.00000905452,"teacher_disagreement_score":0.23774138,"about_ca_system_score_codex":0.00039169408,"about_ca_system_score_gemma":0.000085061736,"threshold_uncertainty_score":0.8899094},"labels":[],"label_agreement":null},{"id":"W4200131536","doi":"10.1109/mim.2021.9620052","title":"Call for Papers","year":2021,"lang":"en","type":"paratext","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Sensor Technology and Measurement Systems","field":"Computer 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":"University of Ottawa; National Research Council Canada; Conference Board of Canada","funders":"","keywords":"Computer science; Aeronautics; Telecommunications; Engineering","score_opus":0.05317718964320711,"score_gpt":0.2764072190464093,"score_spread":0.2232300294032022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200131536","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011478595,0.0055973404,0.6324279,0.009212003,0.07269226,0.0072644013,0.0002929341,0.0012458113,0.27011955],"genre_scores_gemma":[0.35734877,0.0023721093,0.066739246,0.00951554,0.005610116,0.006368678,0.002603923,0.00057475845,0.54886687],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99504864,0.00021682656,0.0009905259,0.0012601378,0.0017680102,0.0007158826],"domain_scores_gemma":[0.99674904,0.00005971481,0.0006742749,0.0012368646,0.0011058919,0.00017420828],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011322715,0.0006473611,0.00074018375,0.00042086744,0.00029747392,0.0002998374,0.0012711938,0.00059793127,0.00044638995],"category_scores_gemma":[0.00013212483,0.00067165314,0.00035578516,0.0005430936,0.00008054834,0.00037144974,0.00004452407,0.0004437866,0.0037274633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027875836,0.00015999032,0.00003171096,0.00037444377,0.00029443207,0.000009913823,0.00013734656,0.00009475507,0.2068429,0.0007830078,0.77120847,0.02003516],"study_design_scores_gemma":[0.002228845,0.00019116687,0.000105727246,0.00045901793,0.000110264395,0.000032043055,0.00004031844,0.00026948893,0.14842273,0.00008035754,0.84727925,0.00078079297],"about_ca_topic_score_codex":0.000017984374,"about_ca_topic_score_gemma":0.000097462434,"teacher_disagreement_score":0.5656886,"about_ca_system_score_codex":0.0007993211,"about_ca_system_score_gemma":0.0005947469,"threshold_uncertainty_score":0.99957347},"labels":[],"label_agreement":null},{"id":"W4210669975","doi":"10.1109/mim.2022.9693459","title":"Call for Papers","year":2022,"lang":"en","type":"paratext","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; National Research Council Canada","funders":"","keywords":"Computer science; Aeronautics; Engineering","score_opus":0.062368596126637296,"score_gpt":0.285181622177362,"score_spread":0.22281302605072467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210669975","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007787601,0.0010255483,0.016739024,0.00069393986,0.0945762,0.0063889404,0.0016091232,0.001229623,0.86995],"genre_scores_gemma":[0.15181978,0.002665066,0.0026265513,0.0023761066,0.011293491,0.009300067,0.017093148,0.0010516136,0.80177414],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99724,0.00009050957,0.00062724523,0.00040007345,0.0012799639,0.00036219577],"domain_scores_gemma":[0.9991747,0.000022139315,0.00016718858,0.00030613103,0.00021540723,0.00011440975],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00064656645,0.00042108493,0.00036157115,0.0002926464,0.00023075326,0.00009523117,0.0002276823,0.00018086757,0.2144961],"category_scores_gemma":[0.000022181117,0.00049543794,0.00019955164,0.00016778297,0.000031532592,0.00015721624,0.000015798261,0.00034044753,0.04153143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002708378,0.000033505934,0.000003179155,0.0003106819,0.000104818035,4.0711018e-7,0.00021101515,0.034363914,0.03936669,0.0000019767106,0.9125768,0.012999937],"study_design_scores_gemma":[0.0014019333,0.000118217155,0.00024925932,0.00006176284,0.0001144462,0.0000021296785,0.00006718374,0.0033331048,0.0012836241,0.000010043772,0.9928564,0.0005018927],"about_ca_topic_score_codex":0.0000012398847,"about_ca_topic_score_gemma":0.000051593837,"teacher_disagreement_score":0.17296468,"about_ca_system_score_codex":0.0017251708,"about_ca_system_score_gemma":0.00012987306,"threshold_uncertainty_score":0.9997497},"labels":[],"label_agreement":null},{"id":"W4210758058","doi":"10.1109/mim.2022.9693460","title":"Guest Editorial","year":2022,"lang":"en","type":"editorial","venue":"IEEE Instrumentation & Measurement Magazine","topic":"IoT and Edge/Fog Computing","field":"Computer 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":"Carleton University","funders":"","keywords":"Intelligent sensor; Computer science; Control (management); Everyday life; Intelligent agent; Computer security; Human–computer interaction; Intelligent control; Internet privacy; Wireless sensor network; Artificial intelligence; Computer network","score_opus":0.025339445179386508,"score_gpt":0.2605421552581862,"score_spread":0.23520271007879967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210758058","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000040068004,0.0001048343,0.0066691735,0.0003141017,0.9887562,0.0005487464,0.000012929209,0.00051933277,0.0030346517],"genre_scores_gemma":[0.00010300645,0.000044054817,0.0015723102,0.00009559071,0.99690574,0.00014571889,0.00035917346,0.0000736134,0.0007008052],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9895336,0.0003448931,0.0010232446,0.001238218,0.007094458,0.0007655571],"domain_scores_gemma":[0.9965681,0.00022136103,0.00077164354,0.0010835427,0.0011393225,0.0002160752],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002560993,0.00065748,0.00059798046,0.00045495067,0.0006230142,0.0007436115,0.0022113011,0.00049658545,0.0000625971],"category_scores_gemma":[0.00047168133,0.00073189486,0.00025646496,0.00074844173,0.000055220313,0.0008633494,0.0005576585,0.0014765479,0.000637099],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031153006,0.00012470833,0.000017008533,0.000072836745,0.00007307253,0.000015653868,0.00025094536,0.00002427538,0.000732836,0.00001784842,0.99342406,0.0052156313],"study_design_scores_gemma":[0.0015730081,0.00027464374,0.000021544445,0.000089032634,0.0000598632,0.0000031446575,0.000008507339,0.00026386583,0.00058055203,0.00015638146,0.99627006,0.0006994143],"about_ca_topic_score_codex":0.000071797105,"about_ca_topic_score_gemma":0.000015314397,"teacher_disagreement_score":0.008149564,"about_ca_system_score_codex":0.0016799555,"about_ca_system_score_gemma":0.0012793867,"threshold_uncertainty_score":0.9995132},"labels":[],"label_agreement":null},{"id":"W4212892068","doi":"10.1109/mim.2021.9549222","title":"Call for Papers","year":2021,"lang":"en","type":"paratext","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Sensor Technology and Measurement Systems","field":"Computer 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":"National Research Council Canada; University of Ottawa","funders":"","keywords":"Computer science; Aeronautics; Telecommunications; Engineering","score_opus":0.05317718964320711,"score_gpt":0.2764072190464093,"score_spread":0.2232300294032022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212892068","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011478595,0.0055973404,0.6324279,0.009212003,0.07269226,0.0072644013,0.0002929341,0.0012458113,0.27011955],"genre_scores_gemma":[0.35734877,0.0023721093,0.066739246,0.00951554,0.005610116,0.006368678,0.002603923,0.00057475845,0.54886687],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99504864,0.00021682656,0.0009905259,0.0012601378,0.0017680102,0.0007158826],"domain_scores_gemma":[0.99674904,0.00005971481,0.0006742749,0.0012368646,0.0011058919,0.00017420828],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011322715,0.0006473611,0.00074018375,0.00042086744,0.00029747392,0.0002998374,0.0012711938,0.00059793127,0.00044638995],"category_scores_gemma":[0.00013212483,0.00067165314,0.00035578516,0.0005430936,0.00008054834,0.00037144974,0.00004452407,0.0004437866,0.0037274633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027875836,0.00015999032,0.00003171096,0.00037444377,0.00029443207,0.000009913823,0.00013734656,0.00009475507,0.2068429,0.0007830078,0.77120847,0.02003516],"study_design_scores_gemma":[0.002228845,0.00019116687,0.000105727246,0.00045901793,0.000110264395,0.000032043055,0.00004031844,0.00026948893,0.14842273,0.00008035754,0.84727925,0.00078079297],"about_ca_topic_score_codex":0.000017984374,"about_ca_topic_score_gemma":0.000097462434,"teacher_disagreement_score":0.5656886,"about_ca_system_score_codex":0.0007993211,"about_ca_system_score_gemma":0.0005947469,"threshold_uncertainty_score":0.99957347},"labels":[],"label_agreement":null},{"id":"W4236357885","doi":"10.1109/mim.2021.9513503","title":"Call for Papers","year":2021,"lang":"en","type":"paratext","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Human auditory perception and evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"","keywords":"Computer science; Aeronautics; Engineering","score_opus":0.06396996743152848,"score_gpt":0.28816585072832823,"score_spread":0.22419588329679974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236357885","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011862802,0.0023833686,0.047945153,0.00094204186,0.102414906,0.0055757435,0.0010549806,0.0011713635,0.82664967],"genre_scores_gemma":[0.17422868,0.0045613134,0.005910938,0.0024184447,0.01683313,0.004085749,0.017647631,0.0009996161,0.7733145],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974804,0.00007569254,0.00063858245,0.00041742538,0.0010290429,0.0003588849],"domain_scores_gemma":[0.9989212,0.000020807807,0.00014482658,0.00031870333,0.0004657114,0.00012874676],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004702188,0.00043435922,0.00040808288,0.00021325733,0.00012893103,0.00014399763,0.00016462896,0.00028570797,0.060219783],"category_scores_gemma":[0.00003251196,0.00049826654,0.00021444594,0.0001603686,0.000033236483,0.00016131396,0.000010135517,0.0002646085,0.037586205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014092226,0.00003110479,0.0000032054722,0.0004414963,0.00012354666,6.8091646e-7,0.00016644142,0.012553557,0.095368385,0.0000015851604,0.8784588,0.012837122],"study_design_scores_gemma":[0.0014809581,0.00006711484,0.0003533614,0.00024744897,0.00014205466,0.0000029208097,0.00006576425,0.0031170512,0.007034994,0.00000799932,0.9869256,0.00055472204],"about_ca_topic_score_codex":8.80347e-7,"about_ca_topic_score_gemma":0.00010249728,"teacher_disagreement_score":0.16236588,"about_ca_system_score_codex":0.0010580826,"about_ca_system_score_gemma":0.00016776298,"threshold_uncertainty_score":0.9997469},"labels":[],"label_agreement":null},{"id":"W4249262745","doi":"10.1109/mim.2003.1200290","title":"Book Review","year":2003,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Systems engineering; Engineering","score_opus":0.0487182215631914,"score_gpt":0.28726836620147017,"score_spread":0.23855014463827878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249262745","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009724153,0.6687369,0.004882025,0.010546534,0.006271642,0.009473697,0.00014475262,0.0022030585,0.2880173],"genre_scores_gemma":[0.5738295,0.0797572,0.01020978,0.29398346,0.0009177574,0.0028021028,0.00046774576,0.0011970451,0.036835454],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.995605,0.00043479394,0.0008299699,0.0005239145,0.0020948306,0.00051151734],"domain_scores_gemma":[0.9981996,0.000017936933,0.0003784605,0.0005829323,0.00060272176,0.00021836208],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0020816382,0.0003734667,0.00039044506,0.00018877136,0.00015818216,0.00006665586,0.00022285487,0.00005934083,0.01126944],"category_scores_gemma":[0.00032658337,0.00037414505,0.00015390631,0.0006688274,0.00007514586,0.0007068211,0.000012369412,0.00018995922,0.026472284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021777229,0.00017716589,0.0005991042,0.00035523542,0.000060614413,0.00000617012,0.000035494708,0.000015582411,0.077353425,0.00027781108,0.91823894,0.0028587088],"study_design_scores_gemma":[0.0017554172,0.00009026586,0.0013280845,0.00094634655,0.00016744043,0.00003359123,0.000012410777,0.000012450798,0.054039862,0.00007659987,0.94114786,0.0003896588],"about_ca_topic_score_codex":0.0000046697182,"about_ca_topic_score_gemma":0.000017847522,"teacher_disagreement_score":0.58897966,"about_ca_system_score_codex":0.0007675943,"about_ca_system_score_gemma":0.00020267411,"threshold_uncertainty_score":0.9998711},"labels":[],"label_agreement":null},{"id":"W4385574845","doi":"10.1109/mim.2023.10208249","title":"Simple Offset Elimination Technique for Two-Wire Measurements","year":2023,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Advanced Electrical Measurement 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":"University of Waterloo","funders":"","keywords":"LCR meter; Inductor; Capacitor; Test fixture; Capacitance; Electrical impedance; Inductance; Capacitive sensing; Materials science; Parasitic capacitance; Electrical engineering; Equivalent series resistance; Acoustics; Parasitic element; Optoelectronics; Electronic engineering; Engineering; Voltage; Physics; Electrode","score_opus":0.06267276637343545,"score_gpt":0.3069722403233494,"score_spread":0.24429947394991397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385574845","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":[0.023898508,0.000148465,0.9545237,0.00063178205,0.0015424954,0.0067912093,0.00011330255,0.006832095,0.005518441],"genre_scores_gemma":[0.987999,0.00005402927,0.007987404,0.00013347143,0.00020259403,0.003128103,0.00027516956,0.00013702811,0.000083199244],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99642885,0.00007709546,0.0007578243,0.00047584448,0.0015584984,0.0007019011],"domain_scores_gemma":[0.99856687,0.000050768438,0.00015479363,0.00039650913,0.000676078,0.00015500997],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015722616,0.00043073343,0.00034744755,0.00058867526,0.00021098703,0.000075638985,0.0003025168,0.00013514598,0.000047941114],"category_scores_gemma":[0.0002093609,0.00047953558,0.00014411451,0.001199116,0.000040261657,0.0005565806,0.000022734364,0.00021131309,0.00021088446],"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":[0.000046184177,0.000063057196,0.00040475634,0.00016739963,0.000070457485,0.0000015581904,0.000044801833,0.0043207053,0.91388553,0.00015207054,0.027104639,0.05373881],"study_design_scores_gemma":[0.0019244694,0.00023490503,0.0031717778,0.0001135626,0.00007486702,0.0000041077055,0.000023880886,0.010294861,0.9705089,0.0031886254,0.009882745,0.0005773342],"about_ca_topic_score_codex":0.0000047903613,"about_ca_topic_score_gemma":0.00004621038,"teacher_disagreement_score":0.9641005,"about_ca_system_score_codex":0.0011345783,"about_ca_system_score_gemma":0.00005632347,"threshold_uncertainty_score":0.99976563},"labels":[],"label_agreement":null},{"id":"W4386657405","doi":"10.1109/mim.2021.9580783","title":"Call for Papers","year":2021,"lang":"en","type":"paratext","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Sensor Technology and Measurement Systems","field":"Computer 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":"National Research Council Canada; University of Ottawa","funders":"","keywords":"Computer science; Aeronautics; Engineering","score_opus":0.05317718964320711,"score_gpt":0.2764072190464093,"score_spread":0.2232300294032022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386657405","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011478595,0.0055973404,0.6324279,0.009212003,0.07269226,0.0072644013,0.0002929341,0.0012458113,0.27011955],"genre_scores_gemma":[0.35734877,0.0023721093,0.066739246,0.00951554,0.005610116,0.006368678,0.002603923,0.00057475845,0.54886687],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99504864,0.00021682656,0.0009905259,0.0012601378,0.0017680102,0.0007158826],"domain_scores_gemma":[0.99674904,0.00005971481,0.0006742749,0.0012368646,0.0011058919,0.00017420828],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011322715,0.0006473611,0.00074018375,0.00042086744,0.00029747392,0.0002998374,0.0012711938,0.00059793127,0.00044638995],"category_scores_gemma":[0.00013212483,0.00067165314,0.00035578516,0.0005430936,0.00008054834,0.00037144974,0.00004452407,0.0004437866,0.0037274633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027875836,0.00015999032,0.00003171096,0.00037444377,0.00029443207,0.000009913823,0.00013734656,0.00009475507,0.2068429,0.0007830078,0.77120847,0.02003516],"study_design_scores_gemma":[0.002228845,0.00019116687,0.000105727246,0.00045901793,0.000110264395,0.000032043055,0.00004031844,0.00026948893,0.14842273,0.00008035754,0.84727925,0.00078079297],"about_ca_topic_score_codex":0.000017984374,"about_ca_topic_score_gemma":0.000097462434,"teacher_disagreement_score":0.5656886,"about_ca_system_score_codex":0.0007993211,"about_ca_system_score_gemma":0.0005947469,"threshold_uncertainty_score":0.99957347},"labels":[],"label_agreement":null},{"id":"W4402978756","doi":"10.1109/mim.2024.10700741","title":"Supporting Safe Driving for Older Adults - at a Crossroads with ADAS [Roadmap for Measurement and Applications]","year":2024,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Automobile Association; AGE-WELL","keywords":"Systems engineering; Computer science; Engineering","score_opus":0.02799432288724391,"score_gpt":0.27973388044071174,"score_spread":0.25173955755346783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402978756","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":[0.047180057,0.0011948198,0.94186485,0.002006878,0.00094011176,0.005758363,0.000017728384,0.0007004174,0.00033679846],"genre_scores_gemma":[0.9769026,0.00002120768,0.01817103,0.00022804143,0.00021991393,0.0040354794,0.000024989571,0.000050453298,0.00034629088],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9961994,0.00005933912,0.00075130945,0.0010451465,0.0013176064,0.0006271666],"domain_scores_gemma":[0.99804544,0.00008029714,0.00030612593,0.0005339152,0.0008785633,0.00015565478],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002368768,0.0003807844,0.0003314095,0.00029841805,0.00053511496,0.00036023246,0.00041278914,0.00013676276,0.000011843867],"category_scores_gemma":[0.00009002631,0.00034058333,0.00011682699,0.000413639,0.00009430806,0.00065904745,0.000036286776,0.00014035754,0.000036383022],"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":[0.0005632051,0.0004945807,0.010258289,0.0031369785,0.0008075775,0.00001424809,0.0030587008,0.00015797121,0.40920725,0.014164315,0.016779149,0.54135776],"study_design_scores_gemma":[0.01768094,0.0017631053,0.01567118,0.0042361375,0.00066354027,0.00032280636,0.00085457496,0.03821519,0.63051194,0.002594778,0.28496265,0.0025231377],"about_ca_topic_score_codex":0.000008287752,"about_ca_topic_score_gemma":0.00021576174,"teacher_disagreement_score":0.92972255,"about_ca_system_score_codex":0.00073404954,"about_ca_system_score_gemma":0.00020749061,"threshold_uncertainty_score":0.99990463},"labels":[],"label_agreement":null},{"id":"W4407098483","doi":"10.1109/mim.2025.10870088","title":"From the Society","year":2025,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Advanced Electrical Measurement 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":"University of Ottawa","funders":"","keywords":"Computer science; Engineering; Systems engineering","score_opus":0.022884390993475598,"score_gpt":0.25430645914479005,"score_spread":0.23142206815131444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407098483","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":[0.07587299,0.0024811695,0.87786543,0.0048914067,0.0034402465,0.0018827224,0.000040979023,0.0035035417,0.030021511],"genre_scores_gemma":[0.9917399,0.00017511398,0.006426501,0.0011401927,0.00018510458,0.00016496275,0.000017411487,0.0000287026,0.00012211138],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99846715,0.000042347056,0.00035056655,0.00022364451,0.00064640376,0.0002698971],"domain_scores_gemma":[0.99937874,0.00005110359,0.00004599548,0.00032434348,0.00015754158,0.000042253807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036246126,0.00020999399,0.00015901995,0.000046969602,0.00012910538,0.00006334178,0.00026554955,0.000068984795,0.00006934144],"category_scores_gemma":[0.00004486538,0.00017169716,0.00013607547,0.00048109944,0.000045113688,0.00020592852,0.000017115888,0.0002302416,0.00008265858],"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":[0.000025580113,0.00007328347,0.0022486956,0.000050255043,0.00036874806,9.660691e-7,0.0002826142,0.0022332275,0.5254501,0.0005027441,0.28189206,0.18687174],"study_design_scores_gemma":[0.002348003,0.00008249697,0.021964787,0.00032647353,0.00026979554,0.0000013524101,0.00020746101,0.014352264,0.74876374,0.012967448,0.1980069,0.0007092791],"about_ca_topic_score_codex":0.000019659628,"about_ca_topic_score_gemma":0.000048801427,"teacher_disagreement_score":0.9158669,"about_ca_system_score_codex":0.00056290755,"about_ca_system_score_gemma":0.000039421233,"threshold_uncertainty_score":0.7001607},"labels":[],"label_agreement":null},{"id":"W4416922337","doi":"10.1109/mim.2025.11273166","title":"From the Society: President's News","year":2025,"lang":"","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Advanced Electrical Measurement 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":"","keywords":"Instrumentation (computer programming); Work (physics)","score_opus":0.029660672448434997,"score_gpt":0.2727678673125104,"score_spread":0.2431071948640754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416922337","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":[0.036889125,0.02099532,0.8605841,0.028428731,0.013287261,0.008094249,0.00020518465,0.0031034527,0.028412607],"genre_scores_gemma":[0.9818403,0.0030177978,0.008804175,0.0033947825,0.0011093287,0.00056124455,0.000061007602,0.00014325017,0.0010680885],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99358547,0.00032421792,0.0015955977,0.0010033975,0.0024688842,0.001022455],"domain_scores_gemma":[0.997275,0.0002438332,0.00037956118,0.0012220569,0.00068605423,0.00019348689],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011702975,0.0009100473,0.0006769264,0.00018856759,0.00053935073,0.00047239594,0.0010356209,0.00034665695,0.00044278763],"category_scores_gemma":[0.00029261404,0.000827136,0.00064094726,0.0015932092,0.0001970049,0.0008277421,0.00012297429,0.0009957274,0.00037109634],"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":[0.00017048325,0.0003363391,0.0044525336,0.00026414395,0.001776587,0.000005089529,0.0009502176,0.003420391,0.32451805,0.00063312566,0.4227717,0.24070135],"study_design_scores_gemma":[0.007908821,0.00043809746,0.031965293,0.0028648116,0.0026644939,0.000004502587,0.0011402133,0.015696349,0.6177113,0.02339633,0.29379553,0.0024142812],"about_ca_topic_score_codex":0.00042956238,"about_ca_topic_score_gemma":0.0004338447,"teacher_disagreement_score":0.9449512,"about_ca_system_score_codex":0.0027239206,"about_ca_system_score_gemma":0.0003649535,"threshold_uncertainty_score":0.99941796},"labels":[],"label_agreement":null}]}