{"meta":{"query_hash":"42acb70593c0","filters":{"topic":"Electrical and Bioimpedance Tomography"},"cohort_total":390,"direct_labels_cover":0,"predictions_cover":390,"exported":390,"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/42acb70593c0","api":"https://metacan.xera.ac/api/v1/cohort?topic=Electrical+and+Bioimpedance+Tomography"},"results":[{"id":"W1000282147","doi":"10.1118/1.4925467","title":"MO‐F‐CAMPUS‐I‐01: EIT Imaging to Monitor Human Salivary Gland Functionality: A Feasibility Study","year":2015,"lang":"en","type":"article","venue":"Medical Physics","topic":"Electrical and Bioimpedance Tomography","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":"BC Cancer Agency","funders":"","keywords":"Electrical impedance tomography; Stimulation; Biomedical engineering; Tomography; Electrical impedance; Electrode; Materials science; Conductivity; Nuclear medicine; Medicine; Physics; Optics; Internal medicine","score_opus":0.02856337545509783,"score_gpt":0.2856080308313549,"score_spread":0.25704465537625704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1000282147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9238424,0.0015543001,0.06808254,0.00052082696,0.000086991124,0.0008399506,0.00048018314,0.0006229174,0.0039700116],"genre_scores_gemma":[0.90972,0.0007514177,0.08334358,0.00036625646,0.00007312956,0.0008028621,0.00069928967,0.000117193056,0.004126327],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998079,0.0000753367,0.000009251027,0.000037483063,0.00004577636,0.000024293613],"domain_scores_gemma":[0.99967,0.00008945664,0.000032623153,0.000049516322,0.00008993001,0.000068415335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091932155,0.00039026627,0.00027624954,0.00023082386,0.00016110724,0.00037635633,0.00042455527,0.00095158996,0.0034222798],"category_scores_gemma":[0.00066196866,0.00019967201,0.00027040567,0.000116236464,0.00028679968,0.00041701156,0.00041320306,0.0003909218,0.0011854628],"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":[0.0043624975,0.0018419124,0.015802903,0.000521855,0.00010132031,0.0013370621,0.00022545617,0.0016090254,0.8835816,0.00047668823,0.0019134099,0.08822622],"study_design_scores_gemma":[0.0017073202,0.04452194,0.14230585,0.0001917203,0.00035820343,0.016756162,0.0005732392,0.04915534,0.7125133,0.0006053365,0.031128423,0.00018318293],"about_ca_topic_score_codex":0.00054705987,"about_ca_topic_score_gemma":0.00048845715,"teacher_disagreement_score":0.0034222798,"about_ca_system_score_codex":0.00011996271,"about_ca_system_score_gemma":0.0004023212,"threshold_uncertainty_score":0.011448681},"labels":[],"label_agreement":null},{"id":"W101862654","doi":"10.1007/978-3-540-73841-1_77","title":"Magneto-Acousto-Electrical Tomography: A New Imaging Modality for Electrical Impedance","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Electrical impedance tomography; Electrical impedance; Voltage; Magneto; Sample (material); Current (fluid); Inverse problem; Tomography; Electrode; Reciprocity (cultural anthropology); Acoustics; SIGNAL (programming language); Physics; Materials science; Nuclear magnetic resonance; Optics; Computer science; Mathematics; Mathematical analysis; Psychology","score_opus":0.015386485167029583,"score_gpt":0.2340767766532235,"score_spread":0.2186902914861939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W101862654","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004879763,0.23548506,0.5329159,0.0043903147,0.0037043176,0.000112559275,0.0003271006,0.0013760407,0.21680889],"genre_scores_gemma":[0.067008466,0.17440218,0.27970153,0.004296856,0.0038898033,0.00025821142,0.00035752516,0.000802712,0.4692827],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999783,0.000024049907,0.000008732639,0.000038257465,0.00013447428,0.000011587108],"domain_scores_gemma":[0.99977475,0.00014370045,0.000011334133,0.0000134301,0.000044702963,0.000012069564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031994822,0.0007821856,0.00057086255,0.0012271303,0.00023838574,0.0013421235,0.0010230873,0.0013786454,0.008802934],"category_scores_gemma":[0.00041609388,0.00035965894,0.00027235967,0.0010984987,0.0010372917,0.0026771915,0.0008178338,0.0012267833,0.005072321],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000736259,0.000060107246,0.00024637883,0.0011053111,0.00003092923,0.00057410117,0.0002852983,0.0011747363,0.09411172,0.10683634,0.07131673,0.7241847],"study_design_scores_gemma":[0.000009315796,0.00007721325,0.0005133703,0.00022024073,0.000034368386,0.0064510033,0.00010028375,0.0034817713,0.042341787,0.029833127,0.9168848,0.000052844363],"about_ca_topic_score_codex":0.00024017801,"about_ca_topic_score_gemma":0.0006932499,"teacher_disagreement_score":0.008802934,"about_ca_system_score_codex":0.00035991106,"about_ca_system_score_gemma":0.000369491,"threshold_uncertainty_score":0.029448688},"labels":[],"label_agreement":null},{"id":"W1161031029","doi":"10.1016/j.measurement.2015.08.009","title":"Enhancement of oil particle sensor capability via resonance-based signal decomposition and fractional calculus","year":2015,"lang":"en","type":"article","venue":"Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"SIGNAL (programming language); Particle (ecology); Resonance (particle physics); Acoustics; Materials science; Biological system; Computer science; Physics; Atomic physics","score_opus":0.0298836164189638,"score_gpt":0.23267056704759007,"score_spread":0.20278695062862626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1161031029","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31860662,0.0010037764,0.67491835,0.0002634252,0.00010865512,0.000031121843,0.00004221758,0.00042900722,0.004596818],"genre_scores_gemma":[0.88339496,0.0005726541,0.11391808,0.000079632446,0.000052627758,0.000018753215,0.00003656745,0.000050131483,0.0018766043],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998179,0.000030856216,0.000009417248,0.000043709388,0.00007540941,0.000022641383],"domain_scores_gemma":[0.999742,0.000112737005,0.000044823628,0.000026884803,0.00006184404,0.000011788563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030370537,0.00045317857,0.0002963976,0.00029901738,0.00014571605,0.00034136386,0.00029977292,0.0003813541,0.00061943266],"category_scores_gemma":[0.00058449723,0.00015845148,0.0002939367,0.0003225174,0.00038315187,0.00090552494,0.00039447538,0.00028181475,0.00020577498],"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":[0.00014129374,0.000036576133,0.00017034619,0.000057886,0.000005410731,0.00003347148,0.00003396452,0.0020977363,0.9719661,0.0026845208,0.000085970845,0.022686746],"study_design_scores_gemma":[0.000012825197,0.00012714381,0.00062737905,0.0000064704755,0.000024533629,0.00012153096,0.000016843971,0.10752138,0.8888201,0.0009789602,0.0017200697,0.000022680355],"about_ca_topic_score_codex":0.00021686224,"about_ca_topic_score_gemma":0.00028915593,"teacher_disagreement_score":0.00061943266,"about_ca_system_score_codex":0.00018801905,"about_ca_system_score_gemma":0.00016156922,"threshold_uncertainty_score":0.002072215},"labels":[],"label_agreement":null},{"id":"W1462591117","doi":"","title":"Techniques for Testing Infants and Young Children Using the MfERG","year":2007,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Electrical and Bioimpedance Tomography","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":"Hospital for Sick Children","funders":"","keywords":"Medicine","score_opus":0.036365144386356026,"score_gpt":0.32366930637595764,"score_spread":0.2873041619896016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1462591117","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36106527,0.008820192,0.60586834,0.000784459,0.00027190638,0.0014912987,0.0013736708,0.0020055354,0.018319339],"genre_scores_gemma":[0.4481814,0.0054619326,0.53981405,0.0004570094,0.00013654694,0.0019255629,0.00033550768,0.00021258993,0.0034753869],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992385,0.00020313745,0.00008730469,0.00016318925,0.00022616473,0.00008167368],"domain_scores_gemma":[0.99845815,0.00078267424,0.00016957377,0.00014485365,0.00035573437,0.00008898714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001947502,0.0010048212,0.00057809096,0.002023891,0.00038051736,0.00036940273,0.0007635724,0.0007260058,0.0018110701],"category_scores_gemma":[0.0045422423,0.00035162526,0.00046098913,0.00048284326,0.0004240448,0.0008090328,0.00060100394,0.0009351622,0.00066560815],"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":[0.00068024,0.00025463503,0.091349766,0.0007365351,0.0000990641,0.003361283,0.0010147579,0.0010702953,0.3525895,0.0023517031,0.002499135,0.5439931],"study_design_scores_gemma":[0.00017754037,0.0050807805,0.46913466,0.0010990273,0.0006846995,0.12105888,0.0021129546,0.01908837,0.34610543,0.007832112,0.027182886,0.0004426004],"about_ca_topic_score_codex":0.0016442233,"about_ca_topic_score_gemma":0.0032115318,"teacher_disagreement_score":0.002023891,"about_ca_system_score_codex":0.0001408866,"about_ca_system_score_gemma":0.0005857786,"threshold_uncertainty_score":0.010299504},"labels":[],"label_agreement":null},{"id":"W1500073323","doi":"10.1088/0967-3334/36/6/1067","title":"Why is EIT so hard, and what are we doing about it?","year":2015,"lang":"en","type":"editorial","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Library science; Engineering physics; Engineering; Electrical engineering; Computer science; Electrical impedance","score_opus":0.05553503421014208,"score_gpt":0.2522186562199419,"score_spread":0.1966836220097998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1500073323","genre_codex":"commentary","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005376687,0.055096637,0.0026310678,0.8039134,0.12991804,0.000023266139,0.00008734722,0.00020141456,0.0075911493],"genre_scores_gemma":[0.014911874,0.15042494,0.0057889363,0.5265107,0.26106206,0.0001370109,0.0004058125,0.0011178687,0.039640784],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.97926235,0.006784791,0.0017190685,0.0022604198,0.0077785524,0.002194858],"domain_scores_gemma":[0.88797987,0.057298183,0.0059291366,0.0045903716,0.029290494,0.014911939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028176017,0.0012541644,0.0022727826,0.0040616305,0.0078039914,0.029524993,0.0043543726,0.017315123,0.025412565],"category_scores_gemma":[0.101117164,0.00089594297,0.0020909382,0.0034640902,0.018232858,0.031319857,0.008430247,0.029285746,0.016560987],"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":[0.000041456326,0.000044910936,0.0010093712,0.00076966744,0.000047567322,0.00018333965,0.001481859,0.00006833135,0.00017411487,0.013019167,0.84878033,0.13437991],"study_design_scores_gemma":[0.0000076210495,0.00004581049,0.0009105272,0.001636919,0.00002606887,0.0005692095,0.004357209,0.000089486086,0.00016849373,0.01872747,0.9733989,0.00006222335],"about_ca_topic_score_codex":0.0029254658,"about_ca_topic_score_gemma":0.0055577625,"teacher_disagreement_score":0.029524993,"about_ca_system_score_codex":0.005708245,"about_ca_system_score_gemma":0.00957672,"threshold_uncertainty_score":0.14901084},"labels":[],"label_agreement":null},{"id":"W1521603256","doi":"10.5772/22362","title":"Measurement of Liquid Velocity and Liquid Distribution in a Packed Bed Using Electrical Resistance Tomography","year":2011,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tomography; Materials science; Electrical resistance and conductance; Mechanics; Composite material; Physics; Optics","score_opus":0.02228779574788262,"score_gpt":0.21058826849096537,"score_spread":0.18830047274308276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1521603256","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2723922,0.008848614,0.69364715,0.0003822772,0.000190733,0.00018559258,0.00063183816,0.0022991276,0.021422513],"genre_scores_gemma":[0.6621036,0.0067038136,0.30199727,0.00026413714,0.00007228156,0.00016043203,0.00047209344,0.00020675674,0.028019639],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976426,0.0000235664,0.000008532995,0.00004778196,0.00014629496,0.0000094239585],"domain_scores_gemma":[0.99976104,0.00013467397,0.000025936582,0.000025945737,0.000044195625,0.000008084393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002369728,0.00036859844,0.00043667332,0.00050646113,0.00014591168,0.0006456271,0.00054338214,0.00058649393,0.001406795],"category_scores_gemma":[0.00042004534,0.0004151624,0.00023361715,0.0008161682,0.00035175585,0.0011502145,0.00030414521,0.00046725656,0.0006237746],"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":[0.00012958096,0.000050325783,0.0013099052,0.00024118833,0.000018071416,0.00012175629,0.00006543832,0.0030055402,0.8984318,0.0009793332,0.0006946174,0.09495247],"study_design_scores_gemma":[0.00002844923,0.0003030478,0.010448172,0.000068720765,0.000059483533,0.00080417114,0.00012910286,0.06813991,0.9100934,0.0011373563,0.00873158,0.00005661529],"about_ca_topic_score_codex":0.0003627695,"about_ca_topic_score_gemma":0.00064885046,"teacher_disagreement_score":0.001406795,"about_ca_system_score_codex":0.00028080522,"about_ca_system_score_gemma":0.00020569729,"threshold_uncertainty_score":0.004706204},"labels":[],"label_agreement":null},{"id":"W1530132479","doi":"10.1109/iembs.2006.259255","title":"Noise Analysis for Multi-slice Radio Frequency Current Density Imaging","year":2006,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fields Institute for Research in Mathematical Sciences; University of Toronto","funders":"","keywords":"Radio frequency; Imaging phantom; Finite-difference time-domain method; Noise (video); Sensitivity (control systems); Larmor precession; Magnetic resonance imaging; Frequency domain; Physics; Nuclear magnetic resonance; Acoustics; Computer science; Electronic engineering; Optics; Magnetic field; Telecommunications; Image (mathematics); Artificial intelligence; Engineering","score_opus":0.012363473552637012,"score_gpt":0.23620750759163556,"score_spread":0.22384403403899855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1530132479","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010919056,0.00025532796,0.9880189,0.000032720025,0.00001720351,0.000012248485,0.000018477931,0.00017383085,0.00055233313],"genre_scores_gemma":[0.55278057,0.0011196869,0.4421246,0.00013870577,0.00006340494,0.00011625998,0.0003420993,0.00029432558,0.00302043],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99952805,0.00009153396,0.000018516897,0.0000610078,0.0002745499,0.000026467076],"domain_scores_gemma":[0.99846435,0.0008429368,0.00012526162,0.00011199343,0.00042242772,0.000033083168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008932746,0.0005806263,0.00042849203,0.0006789626,0.0002328635,0.0005057091,0.0005864212,0.000624019,0.00091055135],"category_scores_gemma":[0.004300654,0.000236765,0.00047099858,0.00040464193,0.00035303517,0.00070108986,0.00030552072,0.0004032883,0.00031518558],"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":[0.00045442046,0.00009071844,0.00457452,0.00041238958,0.00012936453,0.0013139735,0.00032199232,0.48548737,0.32056195,0.045753796,0.0017513575,0.1391482],"study_design_scores_gemma":[0.000003631753,0.000045261844,0.0011125285,0.000012961702,0.000021411524,0.00046584228,0.000016627131,0.96739,0.025970267,0.0029178006,0.0020210338,0.000022705452],"about_ca_topic_score_codex":0.0018905415,"about_ca_topic_score_gemma":0.0014297651,"teacher_disagreement_score":0.0018905415,"about_ca_system_score_codex":0.00060344505,"about_ca_system_score_gemma":0.0005222514,"threshold_uncertainty_score":0.004724145},"labels":[],"label_agreement":null},{"id":"W1539967196","doi":"10.1109/iembs.1993.978440","title":"Linearization of the forward problem in electrical impedance tomography","year":2005,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Electrical impedance tomography; Linearization; Electrical impedance; Tomography; Control theory (sociology); Computer science; Physics; Electrical engineering; Engineering; Nonlinear system; Control (management); Optics; Artificial intelligence","score_opus":0.002762430698679734,"score_gpt":0.17905794550954282,"score_spread":0.17629551481086309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1539967196","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011319686,0.00082686805,0.9740505,0.0012446294,0.000105487416,0.000026593727,0.00008670293,0.00022755424,0.0121118575],"genre_scores_gemma":[0.762702,0.0037347951,0.16404375,0.0010632665,0.00043463265,0.00022365825,0.0004859348,0.00051166397,0.06680038],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99965215,0.00015218992,0.000013250798,0.00005083916,0.00010741712,0.000024208795],"domain_scores_gemma":[0.9992918,0.0004764865,0.00007198629,0.000042462154,0.00009593062,0.00002144003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006542902,0.00070558477,0.00069173134,0.00045588202,0.0003122959,0.001349399,0.00056126044,0.0011319342,0.0038073035],"category_scores_gemma":[0.0032147877,0.00052617304,0.00048497066,0.0003892341,0.0012960489,0.0017290349,0.0012861823,0.0013224209,0.0008479709],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017638522,0.00007317851,0.00084257446,0.0006073103,0.00008397291,0.00046051506,0.0004983619,0.5381026,0.020338241,0.37698135,0.006887374,0.05494817],"study_design_scores_gemma":[0.000028514107,0.00005095488,0.0003595229,0.000053213327,0.000021095217,0.00022327268,0.000117523974,0.85186374,0.0031973931,0.13948146,0.0045542256,0.000049159633],"about_ca_topic_score_codex":0.0022560123,"about_ca_topic_score_gemma":0.0014978511,"teacher_disagreement_score":0.0038073035,"about_ca_system_score_codex":0.0005035112,"about_ca_system_score_gemma":0.0006226093,"threshold_uncertainty_score":0.012736738},"labels":[],"label_agreement":null},{"id":"W1557715871","doi":"10.1088/0967-3334/36/6/1227","title":"Automated robust test framework for electrical impedance tomography","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Imaging phantom; Computer science; Electrical impedance; Figure of merit; Image quality; Computer vision; Artificial intelligence; Electronic engineering; Engineering; Image (mathematics); Electrical engineering; Optics","score_opus":0.09122744507182215,"score_gpt":0.2634189550183447,"score_spread":0.17219150994652258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1557715871","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00086326845,0.000032158816,0.9967542,0.000013745992,0.0000064466676,0.000038580827,0.000033912263,0.0020520708,0.0002056519],"genre_scores_gemma":[0.17172985,0.00011707201,0.82441354,0.000090897614,0.000056115437,0.00059013796,0.0005570931,0.00062870316,0.0018165389],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99601513,0.0007373801,0.00026316734,0.0007023891,0.0020273712,0.00025458692],"domain_scores_gemma":[0.99529654,0.001570618,0.00065502763,0.00083065365,0.0014899896,0.00015711175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029850944,0.0014987362,0.0014357413,0.0016145887,0.00048495192,0.0019808316,0.0032329746,0.0012695845,0.0035345037],"category_scores_gemma":[0.010660333,0.0006493076,0.001162942,0.00068633264,0.0012496171,0.0014306151,0.002134886,0.0013106182,0.0017835126],"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":[0.0004980359,0.00024506391,0.0026988818,0.00032912142,0.00019961462,0.0006640793,0.00015312867,0.4952027,0.05852893,0.04471439,0.0051158243,0.39165026],"study_design_scores_gemma":[0.000030675255,0.00016381423,0.00046434416,0.00001959505,0.000021569609,0.00021204272,0.000017061142,0.9672677,0.01838025,0.009221492,0.004162966,0.000038355076],"about_ca_topic_score_codex":0.0042333603,"about_ca_topic_score_gemma":0.0030390874,"teacher_disagreement_score":0.0042333603,"about_ca_system_score_codex":0.0012899608,"about_ca_system_score_gemma":0.0021694677,"threshold_uncertainty_score":0.015786827},"labels":[],"label_agreement":null},{"id":"W1559230378","doi":"10.1002/9781119093435.ch180","title":"Traceability of Raw Materials in Silos in an Anode Plant","year":2015,"lang":"en","type":"other","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Aluminerie Alouette (Canada); Université du Québec à Chicoutimi","funders":"","keywords":"Information silo; Traceability; Raw material; Silo; Waste management; Engineering; Process engineering; Environmental science; Mechanical engineering; Chemistry; Software engineering","score_opus":0.01196658278280374,"score_gpt":0.21645187417967562,"score_spread":0.20448529139687188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1559230378","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88753414,0.0031552745,0.060553126,0.00036736074,0.00018006952,0.00034976052,0.0058711893,0.00093848316,0.041050624],"genre_scores_gemma":[0.8616867,0.007131237,0.058770146,0.00020327774,0.000043079497,0.00024066873,0.0066142883,0.00050717016,0.06480342],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.999566,0.000028502052,0.000019798472,0.0000915914,0.00026085542,0.000033279368],"domain_scores_gemma":[0.99985814,0.000044697823,0.000016293117,0.00001823831,0.00005597452,0.00000660374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004892628,0.00043928315,0.00034919532,0.0005706835,0.00040101534,0.0007212878,0.0004008319,0.0004523609,0.005774766],"category_scores_gemma":[0.00043180413,0.000196724,0.0005362273,0.00049356284,0.00021754151,0.0006942565,0.0003901727,0.0005331303,0.0014888211],"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":[0.00040125655,0.000110235014,0.0042687943,0.00086870434,0.000038842656,0.0002566191,0.0003928362,0.0041579814,0.90693647,0.0012727275,0.0011497712,0.08014583],"study_design_scores_gemma":[0.000004251761,0.0001289683,0.005693646,0.00003588021,0.000022412036,0.000042076023,0.00016611024,0.0014346214,0.98425066,0.0002226316,0.007989597,0.000009180221],"about_ca_topic_score_codex":0.0027956842,"about_ca_topic_score_gemma":0.0050709667,"teacher_disagreement_score":0.005774766,"about_ca_system_score_codex":0.00064673746,"about_ca_system_score_gemma":0.0006423175,"threshold_uncertainty_score":0.019318521},"labels":[],"label_agreement":null},{"id":"W1563398311","doi":"10.1186/bcr744","title":"Technology review: the use of electrical impedance scanning in the detection of breast cancer.","year":2003,"lang":"en","type":"review","venue":"Breast Cancer Research","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Izaak Walton Killam Health Centre; Dalhousie University","funders":"","keywords":"Modality (human–computer interaction); Surgical oncology; Electrical impedance; Electrical impedance tomography; Breast cancer; Medicine; Medical physics; Biomedical engineering; Computer science; Radiology; Cancer; Surgery; Internal medicine; Engineering; Human–computer interaction; Electrical engineering; Tomography","score_opus":0.07985910846731344,"score_gpt":0.3817132592165248,"score_spread":0.3018541507492114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1563398311","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013455568,0.9974796,0.00021314554,0.00019109724,0.00038095177,0.000010012138,0.0000156092,0.000008692228,0.0015663526],"genre_scores_gemma":[0.00057965564,0.9972601,0.00035902625,0.00024656986,0.00023025663,0.000011568367,0.00003523212,0.000002411601,0.0012752807],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99959534,0.00006908189,0.00006623462,0.00007406678,0.0001706192,0.00002460106],"domain_scores_gemma":[0.9991849,0.0003993045,0.00009648137,0.000021854723,0.00024816528,0.000049348495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007859355,0.001048689,0.0018832575,0.003823452,0.00029686422,0.001049731,0.0011737121,0.0014796109,0.0068284776],"category_scores_gemma":[0.0014664417,0.00034690634,0.0005766401,0.0037468048,0.0005508352,0.0018431864,0.0004634709,0.0012786412,0.00785944],"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":[0.00006125891,0.0000795223,0.00026168473,0.016107008,0.00007343389,0.0003886415,0.000059338396,0.00019960832,0.002999874,0.001000684,0.030252783,0.9485163],"study_design_scores_gemma":[0.000019763489,0.00018032442,0.0017056589,0.004175757,0.00015052766,0.0051861103,0.00009767747,0.000083664614,0.0013029333,0.00077633193,0.9862917,0.000029542869],"about_ca_topic_score_codex":0.0014685036,"about_ca_topic_score_gemma":0.0021249803,"teacher_disagreement_score":0.0068284776,"about_ca_system_score_codex":0.00047936893,"about_ca_system_score_gemma":0.0011348838,"threshold_uncertainty_score":0.02284354},"labels":[],"label_agreement":null},{"id":"W1569879986","doi":"10.1109/aps.2005.1551756","title":"Cooled flatness regularization for two dimensional electromagnetic tomography","year":2005,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Regularization (linguistics); Tomography; Flatness (cosmology); Permittivity; Algorithm; Computer science; Dielectric; Applied mathematics; Mathematics; Physics; Optics; Artificial intelligence","score_opus":0.004072645349729342,"score_gpt":0.19934398601032308,"score_spread":0.19527134066059373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1569879986","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011710616,0.00025908824,0.9852262,0.00030610265,0.000035471483,0.000023063845,0.000027128955,0.00016979287,0.002242533],"genre_scores_gemma":[0.4646778,0.0009989125,0.5168256,0.00058126077,0.000129668,0.00018653963,0.0002905155,0.0004577718,0.015851887],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99971014,0.00012951402,0.000009464129,0.000039180988,0.00008706322,0.000024649167],"domain_scores_gemma":[0.9992311,0.00045839246,0.000055117132,0.000090783054,0.00011821657,0.000046415713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001580422,0.0007184216,0.00056905893,0.00036200637,0.00039114212,0.00072667963,0.00063936965,0.0008758244,0.0015787355],"category_scores_gemma":[0.0033357637,0.0003380147,0.00042212405,0.00034627822,0.0014564242,0.0014114872,0.0012176081,0.0012527364,0.00043077857],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019671844,0.00006007492,0.0005377845,0.00015594097,0.00004891071,0.00020016915,0.00016076084,0.5984557,0.036106315,0.31383133,0.0019766511,0.04826972],"study_design_scores_gemma":[0.000011331783,0.000021043541,0.00015135767,0.000008091087,0.000003342766,0.00003772491,0.000009373025,0.96065694,0.0031703974,0.034731448,0.0011820636,0.000016868871],"about_ca_topic_score_codex":0.0022010207,"about_ca_topic_score_gemma":0.00162139,"teacher_disagreement_score":0.0022010207,"about_ca_system_score_codex":0.00081811444,"about_ca_system_score_gemma":0.00069374096,"threshold_uncertainty_score":0.008358121},"labels":[],"label_agreement":null},{"id":"W1590591652","doi":"10.1109/iembs.1994.411916","title":"Finite element modeling of impedance imaging using induced currents","year":2002,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Polytechnique Montréal","funders":"","keywords":"Finite element method; Electrical impedance; Inverse problem; Electrical impedance tomography; Newton's method; Current (fluid); Iterative reconstruction; Inverse; Element (criminal law); Image (mathematics); Computer science; Algorithm; Mathematics; Mathematical analysis; Physics; Computer vision; Engineering; Electrical engineering; Geometry","score_opus":0.036648594872868374,"score_gpt":0.24265968079669348,"score_spread":0.2060110859238251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590591652","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006933915,0.00010355818,0.98942006,0.00008668005,0.000017996657,0.000030104315,0.00006723632,0.00031862562,0.0030217776],"genre_scores_gemma":[0.39271906,0.0007245656,0.5866462,0.00012251592,0.000025469612,0.00044672837,0.0004415655,0.00020677905,0.018667126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983287,0.00003908044,0.000008043031,0.000022764225,0.00008683872,0.000010371278],"domain_scores_gemma":[0.99984825,0.00006850138,0.000017051325,0.000023186263,0.000033752964,0.000009243023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025582223,0.00046696267,0.00037188444,0.0003915801,0.00020352882,0.0005811321,0.00092316564,0.0010692796,0.0021078675],"category_scores_gemma":[0.0006526629,0.00032799368,0.00041028394,0.0002981588,0.00040012828,0.0008978259,0.00039193194,0.00046743627,0.0009047553],"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":[0.00003161426,0.00003761447,0.00035664276,0.00006873207,0.00001182908,0.00014071858,0.00010325062,0.9229845,0.033062655,0.022858148,0.0005691118,0.019775214],"study_design_scores_gemma":[0.0000031154725,0.00001594867,0.000093402516,0.0000069145094,0.0000025121485,0.000058947287,0.000009160114,0.9924213,0.00328287,0.0017244872,0.0023741592,0.0000071859486],"about_ca_topic_score_codex":0.0012958649,"about_ca_topic_score_gemma":0.0012403594,"teacher_disagreement_score":0.0021078675,"about_ca_system_score_codex":0.0004118987,"about_ca_system_score_gemma":0.00046814504,"threshold_uncertainty_score":0.007051468},"labels":[],"label_agreement":null},{"id":"W1601485900","doi":"10.1002/9780470685853.ch13","title":"Optimal Experimental Design for the Large‐Scale Nonlinear Ill‐Posed Problem of Impedance Imaging","year":2010,"lang":"en","type":"other","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":38,"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":"Academy of Finland","keywords":"Nonlinear system; Well-posed problem; Optimal design; Electrical impedance; Scale (ratio); Mathematical optimization; Electrical impedance tomography; Optimization problem; Computer science; Mathematics; Engineering; Applied mathematics; Physics; Electrical engineering; Machine learning","score_opus":0.006878926793491432,"score_gpt":0.22643977924374187,"score_spread":0.21956085245025045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1601485900","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053651393,0.00013845008,0.99196106,0.0001467794,0.000021667709,0.00015246322,0.000050259387,0.000083383915,0.002080684],"genre_scores_gemma":[0.2766391,0.0005881261,0.7177807,0.00015598637,0.000053413714,0.0015901204,0.00020710529,0.00012768735,0.002857779],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980732,0.0007238075,0.000102214515,0.00034039823,0.0006552452,0.00010511625],"domain_scores_gemma":[0.9968664,0.0017789688,0.0005235179,0.00025888326,0.0004932115,0.0000790856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040957513,0.0011810693,0.0009624285,0.0005492566,0.00038193056,0.0013995304,0.0012118373,0.0015051621,0.004108372],"category_scores_gemma":[0.007771251,0.00080610166,0.0005916564,0.00035180416,0.0015765482,0.0019306266,0.001510927,0.0012346314,0.00070429617],"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":[0.001201616,0.0005954387,0.0009252045,0.0012578137,0.00008127637,0.000092390605,0.00016871076,0.58637625,0.18950301,0.11874827,0.0015508686,0.09949916],"study_design_scores_gemma":[0.00016907413,0.0005214888,0.0007381127,0.00007789789,0.000041873856,0.00005317146,0.000047342175,0.9108195,0.06239575,0.020939542,0.004144983,0.000051279778],"about_ca_topic_score_codex":0.0005136122,"about_ca_topic_score_gemma":0.00054651836,"teacher_disagreement_score":0.004108372,"about_ca_system_score_codex":0.0014163292,"about_ca_system_score_gemma":0.001551762,"threshold_uncertainty_score":0.021660626},"labels":[],"label_agreement":null},{"id":"W1602194286","doi":"10.1137/15m100897x","title":"A Weighted Minimum Gradient Problem with Complete Electrode Model Boundary Conditions for Conductivity Imaging","year":2016,"lang":"en","type":"preprint","venue":"SIAM Journal on Applied Mathematics","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Directorate for Mathematical and Physical Sciences; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; University of Central Florida; National Science Foundation","keywords":"Inverse problem; Current (fluid); Isotropy; Boundary (topology); Uniqueness; Mathematical analysis; Nonlinear system; Inverse; Electrical impedance tomography; Boundary value problem; Mathematics; Electrical impedance; Geometry; Physics; Optics","score_opus":0.017316592307334726,"score_gpt":0.23577300763651363,"score_spread":0.2184564153291789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1602194286","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015852492,0.00034618468,0.9812076,0.00050055794,0.000024789415,0.000033981167,0.000068736204,0.000053244446,0.0019123515],"genre_scores_gemma":[0.39884654,0.00078256475,0.589449,0.00026242487,0.0001224415,0.00044668635,0.0005247021,0.00029713815,0.009268577],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994276,0.0002656877,0.00001992247,0.00013226405,0.00010641386,0.00004814459],"domain_scores_gemma":[0.99885166,0.0008534016,0.0000961609,0.00004815844,0.000088879344,0.00006172883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014058227,0.0012116659,0.0016137902,0.0007786438,0.00050166156,0.0013673622,0.0014160844,0.0032919876,0.0022919527],"category_scores_gemma":[0.0055441223,0.0008552497,0.0008976597,0.0006155713,0.0017981534,0.0029430087,0.0021509412,0.0015911653,0.00040428276],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012732379,0.00008315576,0.0004972018,0.00023079952,0.000055351753,0.000289542,0.00016476105,0.74257404,0.007662243,0.22475484,0.002113683,0.021446994],"study_design_scores_gemma":[0.000015338823,0.00002149913,0.000055051107,0.00000889431,0.0000050009835,0.00003930965,0.000014341928,0.94843984,0.0006246785,0.05005451,0.0007108652,0.000010707632],"about_ca_topic_score_codex":0.00212559,"about_ca_topic_score_gemma":0.0016176777,"teacher_disagreement_score":0.0032919876,"about_ca_system_score_codex":0.0010696735,"about_ca_system_score_gemma":0.00084344845,"threshold_uncertainty_score":0.007761121},"labels":[],"label_agreement":null},{"id":"W1608003001","doi":"10.1007/978-3-540-73841-1_95","title":"Direct calculation of the electrode movement Jacobian for 3D EIT","year":2007,"lang":"ar","type":"book-chapter","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Jacobian matrix and determinant; Electrical impedance tomography; Finite element method; Computation; Matrix (chemical analysis); Algorithm; Computer science; Mathematics; Mathematical analysis; Tomography; Physics; Applied mathematics; Materials science; Optics","score_opus":0.015418275902432563,"score_gpt":0.2242620672257152,"score_spread":0.20884379132328265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1608003001","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000914539,0.00020249377,0.9916574,0.000044427627,0.00007110105,0.00002856155,0.00014825107,0.0013760583,0.005557189],"genre_scores_gemma":[0.04478122,0.00057280256,0.9252001,0.00011618826,0.000062844716,0.0001355079,0.0005559729,0.0013824177,0.027192887],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997868,0.000019513147,0.000011399854,0.000025690066,0.00014733702,0.0000092856835],"domain_scores_gemma":[0.9995764,0.00017986023,0.000022915257,0.000076488286,0.00013231023,0.000012156896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028734433,0.00074561,0.0006180715,0.00049698935,0.0003027508,0.0010415239,0.0010442596,0.0007846469,0.02957702],"category_scores_gemma":[0.0014196093,0.0005693001,0.0006271737,0.0005457087,0.00023759903,0.00090666336,0.000765634,0.00083853735,0.010418285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009726641,0.00006497854,0.0008325908,0.0010605049,0.00012528646,0.00057492557,0.000298691,0.13565204,0.0594802,0.05603135,0.034723334,0.7110588],"study_design_scores_gemma":[0.00003633202,0.00006545592,0.0014772491,0.00009662573,0.00006142397,0.0016468285,0.00010576897,0.84692454,0.04123913,0.022717685,0.08555512,0.000073839066],"about_ca_topic_score_codex":0.0022076115,"about_ca_topic_score_gemma":0.0056330315,"teacher_disagreement_score":0.02957702,"about_ca_system_score_codex":0.0003268836,"about_ca_system_score_gemma":0.00059167336,"threshold_uncertainty_score":0.09894496},"labels":[],"label_agreement":null},{"id":"W1612636452","doi":"","title":"New Hardware and Software Design for Electrical Impedance Tomography","year":2007,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance tomography; Software; Tomography; Electrical impedance; Electrical resistivity tomography; Computer science; Electrical engineering; Engineering; Medicine; Radiology; Electrical resistivity and conductivity; Operating system","score_opus":0.009674146600226462,"score_gpt":0.2039202377791775,"score_spread":0.19424609117895103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1612636452","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002271987,0.000367574,0.98224163,0.0001836406,0.00022063748,0.00020229192,0.00014765974,0.010385877,0.0039787064],"genre_scores_gemma":[0.055055942,0.0006587972,0.92453974,0.00048133175,0.0001287146,0.0009099186,0.0010119887,0.0015082463,0.015705403],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99804246,0.00026551005,0.00016982695,0.00028336133,0.0011011111,0.00013769056],"domain_scores_gemma":[0.9981285,0.0003780165,0.00014984595,0.00046658024,0.0007734228,0.00010370343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013673278,0.0011516858,0.0007625351,0.0010505179,0.0003460495,0.0013704163,0.003085142,0.0010378615,0.016136823],"category_scores_gemma":[0.0042367224,0.00084093824,0.00088552636,0.00070698484,0.00040869927,0.001987777,0.001443817,0.0020696407,0.006366897],"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":[0.00062187866,0.0003099601,0.0016595139,0.00084396056,0.0002489032,0.0005711866,0.00030254605,0.033940393,0.09079395,0.05191003,0.0384369,0.7803608],"study_design_scores_gemma":[0.0003473098,0.0008486238,0.0015157325,0.00023761607,0.0002010791,0.0016310461,0.00007832273,0.4634715,0.118852474,0.016237233,0.39639622,0.00018283754],"about_ca_topic_score_codex":0.00086942123,"about_ca_topic_score_gemma":0.0010166668,"teacher_disagreement_score":0.016136823,"about_ca_system_score_codex":0.0007133924,"about_ca_system_score_gemma":0.000885472,"threshold_uncertainty_score":0.053983033},"labels":[],"label_agreement":null},{"id":"W1613533325","doi":"10.1109/ultsym.1990.171488","title":"Ultrasonic tomography using scanned contact transducers","year":2002,"lang":"en","type":"article","venue":"IEEE Symposium on Ultrasonics","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Transducer; Oscilloscope; Microcomputer; Ultrasonic sensor; Computer science; Acoustics; Waveform; Stylus; Computer graphics (images); Computer vision; Detector; Physics; Telecommunications","score_opus":0.015380936543236702,"score_gpt":0.20582393341079236,"score_spread":0.19044299686755567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1613533325","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24520902,0.0017367393,0.73671585,0.00033867566,0.000117343145,0.00016733554,0.0008337163,0.0023898312,0.012491453],"genre_scores_gemma":[0.56259674,0.001107996,0.42888102,0.000110692235,0.000059349157,0.00016886104,0.0005751448,0.00022037957,0.0062797875],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99941623,0.00007512606,0.000035124678,0.00014651917,0.0002895466,0.00003749805],"domain_scores_gemma":[0.99882454,0.00047399336,0.00010105664,0.00031981952,0.00023292942,0.000047691225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046796887,0.00036055583,0.00037029356,0.0011367189,0.0002761242,0.0008950031,0.00067097245,0.0007579969,0.0046576494],"category_scores_gemma":[0.0025320097,0.00044478383,0.0002117125,0.0018470127,0.00068729906,0.0013491438,0.001140358,0.0004695106,0.00096224743],"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":[0.00031157667,0.000041013827,0.0031008858,0.0002609357,0.000033420474,0.0008722789,0.00040891932,0.0059875455,0.87465894,0.008233198,0.0021632297,0.10392813],"study_design_scores_gemma":[0.000115908486,0.0006209317,0.010068518,0.00006499714,0.000081989056,0.0058117467,0.00032546566,0.088514775,0.86676544,0.0039981264,0.023524443,0.00010765495],"about_ca_topic_score_codex":0.0010117703,"about_ca_topic_score_gemma":0.0012393532,"teacher_disagreement_score":0.0046576494,"about_ca_system_score_codex":0.00049435225,"about_ca_system_score_gemma":0.0004943002,"threshold_uncertainty_score":0.015581429},"labels":[],"label_agreement":null},{"id":"W1738967955","doi":"10.1109/iembs.1993.978537","title":"Image reconstruction in electrical impedance tomography: a neural network approach","year":2005,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Electrical impedance tomography; Iterative reconstruction; Equipotential; Inverse problem; Artificial neural network; Noise (video); Electrical impedance; Computer science; A priori and a posteriori; Tomography; Tikhonov regularization; Artificial intelligence; Algorithm; Image (mathematics); Mathematics; Mathematical analysis; Optics; Physics; Engineering; Electrical engineering","score_opus":0.005022724806880194,"score_gpt":0.18960375072884925,"score_spread":0.18458102592196907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1738967955","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0105305975,0.0005220718,0.98732704,0.00031204283,0.000018338096,0.000013646364,0.000015631123,0.0001838463,0.0010766962],"genre_scores_gemma":[0.46511725,0.0016336795,0.52528125,0.00023781606,0.00010717074,0.00012493054,0.00008343464,0.000103082486,0.0073112957],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998565,0.000056919966,0.000006887753,0.000025233212,0.000039535862,0.000014891245],"domain_scores_gemma":[0.9996495,0.00023985578,0.000028455626,0.000018670911,0.00005391459,0.000009618334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005824249,0.00036764564,0.00039711825,0.00031326863,0.00020196261,0.000644757,0.0006463228,0.0011608403,0.0014515864],"category_scores_gemma":[0.0017891848,0.00033243911,0.0002755677,0.00047444913,0.00061837677,0.0010813753,0.00050058105,0.00076883455,0.00029658785],"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":[0.00010995252,0.000040882813,0.00042430215,0.00011601291,0.00004131915,0.00009825889,0.000056550954,0.82572657,0.012080438,0.015017669,0.0006259337,0.14566208],"study_design_scores_gemma":[0.0000034431025,0.0000062737445,0.00005691952,0.0000037086006,0.0000028150334,0.000013834584,0.0000032563466,0.99600667,0.0013348418,0.0023401189,0.0002243692,0.0000038061257],"about_ca_topic_score_codex":0.0028228248,"about_ca_topic_score_gemma":0.002532418,"teacher_disagreement_score":0.0028228248,"about_ca_system_score_codex":0.0004927466,"about_ca_system_score_gemma":0.0003318397,"threshold_uncertainty_score":0.0056127906},"labels":[],"label_agreement":null},{"id":"W1799846709","doi":"10.1088/0967-3334/36/6/1075","title":"Influence of heart motion on cardiac output estimation by means of electrical impedance tomography: a case study","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Space Agency","keywords":"Electrical impedance tomography; Electrical impedance; Stroke volume; Magnetic resonance imaging; Biomedical engineering; Amplitude; Ventricular volume; Correlation; Physics; Cardiology; Mathematics; Medicine; Heart failure; Ejection fraction; Radiology; Geometry","score_opus":0.047346261721794715,"score_gpt":0.25564443571912754,"score_spread":0.20829817399733283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1799846709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9713992,0.00036708458,0.02713481,0.00022088822,0.0000136400695,0.00003689913,0.00011981366,0.00008792806,0.00061976584],"genre_scores_gemma":[0.9923678,0.00019445464,0.007064351,0.000023478658,0.000013360165,0.000012774952,0.00006570744,0.00001906391,0.00023910256],"study_design_codex":"simulation_or_modeling","study_design_gemma":"case_report","domain_scores_codex":[0.99938047,0.0002571066,0.000053677144,0.0001320569,0.00013339544,0.0000431836],"domain_scores_gemma":[0.99657464,0.0026058934,0.00023326428,0.0002616056,0.00023105601,0.00009362646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012408562,0.00064380496,0.00057483796,0.0006336334,0.00028764334,0.0008678772,0.0006624155,0.0015236347,0.0006030497],"category_scores_gemma":[0.005445193,0.0002750884,0.0005373386,0.00044988055,0.0007103948,0.00042072238,0.0005071781,0.00032725968,0.00019145959],"study_design_candidate":"case_report","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":[0.0020861125,0.0009950616,0.25959784,0.0009102128,0.00050037744,0.09367044,0.0026642575,0.42752647,0.056938782,0.0024864348,0.0017786704,0.15084536],"study_design_scores_gemma":[0.00014975641,0.0018709478,0.08626369,0.00012105355,0.00029911593,0.039751027,0.00082911237,0.8215036,0.04519574,0.0012078341,0.0026409829,0.00016713914],"about_ca_topic_score_codex":0.0027852843,"about_ca_topic_score_gemma":0.0028414084,"teacher_disagreement_score":0.0027852843,"about_ca_system_score_codex":0.00035904592,"about_ca_system_score_gemma":0.00024020091,"threshold_uncertainty_score":0.0065622926},"labels":[],"label_agreement":null},{"id":"W1819148338","doi":"10.1007/s10973-008-9840-2","title":"Thermal conductivity and thermal diffusivity of poly(acrylic acid) by transient hot wire technique","year":2009,"lang":"en","type":"article","venue":"Journal of Thermal Analysis and Calorimetry","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal diffusivity; Tantalum pentoxide; Thermal conductivity; Thermal conductivity measurement; Materials science; Thermal transmittance; Thermal conduction; Composite material; Thermal effusivity; Tantalum; Transient (computer programming); Thermal; Thermodynamics; Analytical Chemistry (journal); Thermal contact conductance; Thermal resistance; Chemistry; Metallurgy","score_opus":0.005002401980036438,"score_gpt":0.20411824775180437,"score_spread":0.19911584577176794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1819148338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9665354,0.001335556,0.029051734,0.00009573787,0.000023157721,0.000021890042,0.0001577432,0.00011432574,0.0026646177],"genre_scores_gemma":[0.9929588,0.00028691025,0.005408558,0.000006454072,0.000005797698,0.00001417964,0.000052112195,0.00001571679,0.0012515476],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997987,0.000052867123,0.0000091642905,0.000055647164,0.000062532985,0.000021068434],"domain_scores_gemma":[0.99966395,0.00014322608,0.000073482894,0.0000425868,0.00006130329,0.000015469876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002870051,0.00020529013,0.00017988335,0.00027700383,0.00019246391,0.0003116546,0.0002502459,0.0002745633,0.0010371559],"category_scores_gemma":[0.00041643,0.00023712695,0.0001502049,0.00029956747,0.00035657102,0.0006084142,0.00013688981,0.00040806917,0.00019198479],"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":[0.00009318142,0.000009391668,0.00028372975,0.000028866201,0.000002806971,0.000027445232,0.000043325206,0.00026274193,0.99696225,0.00031736793,0.000025406935,0.0019433532],"study_design_scores_gemma":[0.000005313292,0.000086505395,0.0017979781,0.0000029152725,0.0000098478595,0.00006977198,0.000024622012,0.0054236483,0.9920913,0.000049148573,0.0004323241,0.0000067457495],"about_ca_topic_score_codex":0.0004468916,"about_ca_topic_score_gemma":0.00069866003,"teacher_disagreement_score":0.0010371559,"about_ca_system_score_codex":0.00026922772,"about_ca_system_score_gemma":0.00023122541,"threshold_uncertainty_score":0.0034695864},"labels":[],"label_agreement":null},{"id":"W1842405720","doi":"10.1088/0967-3334/37/2/175","title":"Assessment of distribution of ventilation by electrical impedance tomography in standing horses","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":34,"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":"Electrical impedance tomography; Medicine; Ventilation (architecture); Sedation; Plethysmograph; Nuclear medicine; Tomography; Anesthesia; Radiology; Physics","score_opus":0.047500817021758034,"score_gpt":0.2661729035069733,"score_spread":0.21867208648521527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1842405720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968651,0.00035287754,0.0024682246,0.000022195723,0.0000035863168,0.00001703575,0.000039737723,0.000014040623,0.00021724789],"genre_scores_gemma":[0.99810743,0.00017845543,0.0014742701,0.000016901758,0.000008994434,0.000019047322,0.000053878313,0.000004536604,0.00013643107],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996675,0.00008934524,0.000026724116,0.000077863675,0.00008079918,0.000057775364],"domain_scores_gemma":[0.99942964,0.00015521981,0.00022349392,0.000031092968,0.00009713648,0.000063419124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004272627,0.00028567069,0.00028135726,0.000571721,0.00014414257,0.00039506488,0.00017979264,0.0005251099,0.0005638661],"category_scores_gemma":[0.001795243,0.00017957146,0.00011514124,0.00016886467,0.00056026067,0.00044292113,0.0003159838,0.00021571358,0.00017607685],"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":[0.0020226075,0.000096823904,0.18165502,0.00022917266,0.00005923159,0.0011899979,0.00058872154,0.0006952151,0.7671889,0.00010002774,0.000092862785,0.046081357],"study_design_scores_gemma":[0.000022092783,0.003168201,0.94011146,0.000037825488,0.00007319513,0.0022938098,0.0005156088,0.0040084417,0.04898028,0.0001176717,0.00064856664,0.00002284026],"about_ca_topic_score_codex":0.0003672927,"about_ca_topic_score_gemma":0.00065263116,"teacher_disagreement_score":0.000571721,"about_ca_system_score_codex":0.0001354363,"about_ca_system_score_gemma":0.00011343593,"threshold_uncertainty_score":0.002259612},"labels":[],"label_agreement":null},{"id":"W1844191202","doi":"10.1088/0967-3334/36/6/1147","title":"Aortic blood pressure measured via EIT: investigation of different measurement settings","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Space Agency","keywords":"Electrical impedance tomography; SIGNAL (programming language); Noise (video); Impedance cardiography; Algorithm; Computer science; Physics; Acoustics; Tomography; Blood pressure; Computer vision; Medicine; Image (mathematics); Radiology; Optics; Stroke volume","score_opus":0.06508151875242019,"score_gpt":0.21690351002564762,"score_spread":0.15182199127322743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1844191202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9104706,0.0016581366,0.08670527,0.00010986465,0.00007303385,0.000055401062,0.00013009911,0.00026610598,0.0005314534],"genre_scores_gemma":[0.9600086,0.00068877795,0.03879173,0.000055907414,0.000022895703,0.000044903125,0.000106309366,0.00006349215,0.00021746776],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998453,0.0005956422,0.00013847083,0.00029673855,0.0004224914,0.00009361544],"domain_scores_gemma":[0.99194217,0.005876538,0.00083511055,0.0005945525,0.00060725457,0.00014449445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018523583,0.0008898413,0.00054539304,0.00059194694,0.0001731889,0.0009313334,0.00050706347,0.0011899468,0.00042961616],"category_scores_gemma":[0.013313543,0.00033000638,0.00028469975,0.00050418335,0.0006435571,0.0008005293,0.00062637596,0.0005126272,0.0001979002],"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":[0.0031573616,0.00033148198,0.017872896,0.000817493,0.00012986411,0.0005762073,0.0005333286,0.021996338,0.87982845,0.00033697108,0.00010897615,0.07431071],"study_design_scores_gemma":[0.00008782963,0.0049573677,0.0501048,0.00010356679,0.0002767497,0.0021600288,0.00030629587,0.08259968,0.85782313,0.00026176663,0.0011900003,0.0001288263],"about_ca_topic_score_codex":0.00034480603,"about_ca_topic_score_gemma":0.0002621176,"teacher_disagreement_score":0.0018523583,"about_ca_system_score_codex":0.00012810991,"about_ca_system_score_gemma":0.00021128096,"threshold_uncertainty_score":0.009796321},"labels":[],"label_agreement":null},{"id":"W193647528","doi":"","title":"A hybrid regularization method for image reconstruction of electrical impedance tomography","year":2013,"lang":"en","type":"article","venue":"International Conference on Image Processing","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Iterative reconstruction; Regularization (linguistics); Tomography; Electrical impedance; Computer science; Electrical resistivity tomography; Computer vision; Artificial intelligence; Physics; Optics; Engineering; Electrical resistivity and conductivity; Electrical engineering","score_opus":0.01254019910907141,"score_gpt":0.2708157270237952,"score_spread":0.2582755279147238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W193647528","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003663595,0.00012217644,0.9953406,0.00008753443,0.000021666205,0.000015127223,0.000027439317,0.00013378194,0.0005881269],"genre_scores_gemma":[0.08241424,0.00035021262,0.9114445,0.00012639919,0.000062794636,0.00010520426,0.00018689694,0.00023301797,0.0050767753],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999749,0.00008643462,0.000014472859,0.000031498806,0.00010196382,0.000016640564],"domain_scores_gemma":[0.99969316,0.00012658942,0.000027020336,0.000036652913,0.00009530235,0.000021182916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061202125,0.0005203746,0.0005835562,0.00052355806,0.00025753456,0.0006657632,0.000873684,0.0010615775,0.0018059355],"category_scores_gemma":[0.0010216209,0.00035963685,0.00080726465,0.0005210568,0.00034913808,0.0006495159,0.0008774194,0.0009423569,0.00062514644],"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":[0.00040317318,0.00020894708,0.0011694029,0.00058448705,0.00028983297,0.00029333192,0.00021372724,0.30134422,0.19644888,0.057975695,0.00682764,0.4342407],"study_design_scores_gemma":[0.00000972324,0.000019340381,0.00013872706,0.000008588833,0.000012482624,0.00009069441,0.0000065427885,0.9892975,0.006475873,0.0016073469,0.0023186582,0.000014477695],"about_ca_topic_score_codex":0.0017531867,"about_ca_topic_score_gemma":0.0024461965,"teacher_disagreement_score":0.0018059355,"about_ca_system_score_codex":0.00026107603,"about_ca_system_score_gemma":0.0006699395,"threshold_uncertainty_score":0.006041467},"labels":[],"label_agreement":null},{"id":"W1963942235","doi":"10.1088/0967-3334/32/7/s07","title":"Minimizing EIT image artefacts from mesh variability in finite element models","year":2011,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Finite element method; Electrical impedance tomography; Isotropy; Polygon mesh; Inverse problem; Mathematical analysis; Anisotropy; Node (physics); Inverse; Iterative reconstruction; Geometry; Projection (relational algebra); Mathematics; Algorithm; Computer science; Physics; Acoustics; Tomography; Computer vision; Engineering; Structural engineering; Optics","score_opus":0.10341654727113633,"score_gpt":0.21542723235962818,"score_spread":0.11201068508849185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963942235","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05550916,0.00016123938,0.94318414,0.00010551621,0.000020753252,0.000025102936,0.000026304617,0.00031177048,0.0006560241],"genre_scores_gemma":[0.6082108,0.00026269755,0.3892287,0.0000781967,0.000026851474,0.00010545603,0.00013802454,0.00050782465,0.0014414274],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998697,0.00060604734,0.00010129584,0.0001115178,0.00043081187,0.000053322074],"domain_scores_gemma":[0.9858269,0.011382519,0.00105856,0.0010492575,0.0005939057,0.00008874823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040228716,0.0006775309,0.0005881865,0.0006665286,0.00029321038,0.0012726507,0.00066577905,0.0012603747,0.00072025956],"category_scores_gemma":[0.023583366,0.0006042289,0.00063584116,0.00058033806,0.00078671443,0.0009504777,0.0010434227,0.00083779375,0.00023034237],"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":[0.00023079004,0.000037186222,0.0032047313,0.00020016424,0.00005588897,0.00028869067,0.00044876672,0.9105238,0.029663311,0.008352834,0.00037319254,0.04662063],"study_design_scores_gemma":[0.00000885363,0.000066555585,0.00090422714,0.000019292771,0.000022260081,0.00020617813,0.000031979736,0.9834292,0.0107360855,0.003515709,0.001042665,0.00001701755],"about_ca_topic_score_codex":0.0009725981,"about_ca_topic_score_gemma":0.001077498,"teacher_disagreement_score":0.0040228716,"about_ca_system_score_codex":0.000506897,"about_ca_system_score_gemma":0.00046001095,"threshold_uncertainty_score":0.021275222},"labels":[],"label_agreement":null},{"id":"W1964933157","doi":"10.1109/tmi.2012.2204438","title":"Shape Deformation in Two-Dimensional Electrical Impedance Tomography","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":38,"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","funders":"Natural Sciences and Engineering Research Council of Canada; Consortia for Improving Medicine with Innovation and Technology","keywords":"Electrical impedance tomography; Conformal map; Imaging phantom; Boundary (topology); Isotropy; Deformation (meteorology); Finite element method; Tomography; Boundary element method; Iterative reconstruction; Conductivity; Electrical impedance; Boundary value problem; Electrode; Geometry; Materials science; Acoustics; Physics; Optics; Mathematical analysis; Computer science; Computer vision; Mathematics","score_opus":0.0060845359439838055,"score_gpt":0.23877763863835721,"score_spread":0.2326931026943734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964933157","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25107354,0.0004734652,0.7441547,0.0005282135,0.000028973662,0.00003747822,0.00004070571,0.00033149714,0.003331425],"genre_scores_gemma":[0.93926895,0.00042655165,0.059150927,0.00008187027,0.000014616731,0.000028122544,0.00004473752,0.000058334095,0.0009258275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938583,0.00017847861,0.000035858986,0.00008119641,0.00029021953,0.000028449447],"domain_scores_gemma":[0.9974377,0.0017326082,0.00022914725,0.00037981832,0.00016504888,0.00005568305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012851433,0.000266832,0.00029999105,0.00040178237,0.00019143605,0.0010141723,0.00051229476,0.0011586822,0.00024635167],"category_scores_gemma":[0.00909468,0.0003761246,0.00031445056,0.00033842324,0.0015921837,0.0011164773,0.0007990242,0.0005873252,0.00013530902],"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":[0.00027444988,0.00006598245,0.007218613,0.00012583326,0.000020766895,0.00075790624,0.0005155381,0.7494183,0.14280663,0.03157487,0.0002768688,0.066944204],"study_design_scores_gemma":[0.000012381694,0.00005684076,0.0027478768,0.000013978892,0.000006462156,0.00052186754,0.000050842224,0.94493026,0.041342907,0.009374738,0.0009036282,0.000038202154],"about_ca_topic_score_codex":0.00084639713,"about_ca_topic_score_gemma":0.00049264095,"teacher_disagreement_score":0.0012851433,"about_ca_system_score_codex":0.0007093732,"about_ca_system_score_gemma":0.00031207863,"threshold_uncertainty_score":0.0067965984},"labels":[],"label_agreement":null},{"id":"W1966911495","doi":"10.1109/embc.2013.6611028","title":"Experimental implementation of a new method of imaging anisotropic electric conductivities","year":2013,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Anisotropy; Imaging phantom; Diffusion MRI; Tensor (intrinsic definition); Conductivity; Electrical impedance; Electrical impedance tomography; Diffusion; Anisotropic diffusion; Materials science; Electrical resistivity and conductivity; Computational physics; Nuclear magnetic resonance; Biomedical engineering; Physics; Optics; Mathematics; Geometry; Magnetic resonance imaging; Engineering","score_opus":0.0109338439692607,"score_gpt":0.28671251533214936,"score_spread":0.27577867136288864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966911495","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37625486,0.00041320355,0.6151373,0.0003548201,0.00019543928,0.0006055487,0.00038400927,0.0012027313,0.0054521114],"genre_scores_gemma":[0.5182166,0.00044850082,0.47784382,0.00012289948,0.000055336845,0.0007128077,0.0002213001,0.0001551963,0.0022234777],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993499,0.00009528825,0.00004540374,0.00017379953,0.00027349155,0.0000621392],"domain_scores_gemma":[0.99884534,0.00042990348,0.00016315412,0.0002673854,0.00022437311,0.000069946494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009774468,0.0006721401,0.00042337168,0.00040580778,0.00030269622,0.00046010912,0.00079098187,0.000679239,0.0019570077],"category_scores_gemma":[0.0016947065,0.000355544,0.00018317612,0.0003778493,0.0008480153,0.0007825926,0.00074001146,0.0008179087,0.00039421918],"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":[0.00007537939,0.000038084196,0.0001848211,0.000055983026,0.0000051429015,0.00004209912,0.000060429124,0.00019452424,0.9930298,0.00050115905,0.000065472515,0.0057471297],"study_design_scores_gemma":[0.000041047675,0.000629903,0.0008924059,0.0000074678915,0.00001669604,0.0004061415,0.000031615662,0.0034020962,0.9908983,0.00017404143,0.003476655,0.000023696204],"about_ca_topic_score_codex":0.0003616928,"about_ca_topic_score_gemma":0.0003992051,"teacher_disagreement_score":0.0019570077,"about_ca_system_score_codex":0.00022205763,"about_ca_system_score_gemma":0.0003057728,"threshold_uncertainty_score":0.0065467954},"labels":[],"label_agreement":null},{"id":"W1967017232","doi":"10.1002/jctb.1986","title":"Mixing time in an agitated multi‐lamp cylindrical photoreactor using electrical resistance tomography","year":2008,"lang":"en","type":"article","venue":"Journal of Chemical Technology & Biotechnology","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mixing (physics); Impeller; Materials science; Rotational speed; Optics; Mechanics; Analytical Chemistry (journal); Chemistry; Chromatography; Mechanical engineering; Physics; Engineering","score_opus":0.011514902479005603,"score_gpt":0.2247689486554911,"score_spread":0.2132540461764855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967017232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9647664,0.00039878843,0.03392973,0.00007204626,0.000012338741,0.00003733023,0.00008355823,0.00018538363,0.0005145913],"genre_scores_gemma":[0.96125007,0.00025609825,0.03753711,0.000029406629,0.000006483164,0.00003454897,0.0000845987,0.000037548856,0.0007640516],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971837,0.000068602894,0.000017884959,0.000089241126,0.000083091014,0.000022850267],"domain_scores_gemma":[0.9992361,0.00033324579,0.00024873292,0.000040394578,0.00010838248,0.000033110064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006742702,0.000340648,0.00025916737,0.0002661704,0.00021031118,0.00041820086,0.0004189646,0.0005308449,0.0007362401],"category_scores_gemma":[0.0013476138,0.00027162605,0.00019471416,0.00031250794,0.00032148958,0.0006257962,0.0002294658,0.0005094031,0.00019229643],"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":[0.00014723444,0.000015984122,0.0004972967,0.00003264974,0.0000036070048,0.00004387197,0.000043680095,0.00046780414,0.996073,0.000056203076,0.00002334892,0.0025952908],"study_design_scores_gemma":[0.000012922421,0.00027739187,0.002543991,0.0000035927617,0.000014471377,0.00010463314,0.000025820662,0.009603317,0.98707366,0.00003757031,0.0002878508,0.0000147615565],"about_ca_topic_score_codex":0.0006579508,"about_ca_topic_score_gemma":0.00043324413,"teacher_disagreement_score":0.0007362401,"about_ca_system_score_codex":0.00052276993,"about_ca_system_score_gemma":0.00029847733,"threshold_uncertainty_score":0.0037929416},"labels":[],"label_agreement":null},{"id":"W1969362494","doi":"10.1088/0967-3334/28/5/009","title":"Dogleg trust-region application in electrical impedance tomography","year":2007,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hamilton Health Sciences; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance tomography; Levenberg–Marquardt algorithm; Trust region; Image (mathematics); Computer science; Electrical impedance; Iterative reconstruction; Artificial intelligence; Function (biology); Tomography; Quadratic equation; Reduction (mathematics); Algorithm; Quadratic model; Computer vision; Engineering; Mathematics; Machine learning; Computer security; Optics; Electrical engineering; Physics; Geometry","score_opus":0.026749974896829204,"score_gpt":0.22752934914867287,"score_spread":0.20077937425184367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969362494","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024932649,0.000044047825,0.996774,0.000016938971,0.0000065048043,0.000008538596,0.0000068411778,0.0004605582,0.00018926829],"genre_scores_gemma":[0.16700119,0.00014339297,0.8311187,0.000042132215,0.000013543746,0.000054154683,0.00006396396,0.00028925884,0.0012736673],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919385,0.00030368936,0.00004260482,0.0001073476,0.00030902828,0.000043557473],"domain_scores_gemma":[0.9982034,0.0009440038,0.00016456396,0.00023632482,0.00039126544,0.00006047899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013999923,0.0005077546,0.00055027613,0.00033733016,0.00024293063,0.0007859887,0.001105594,0.0010988384,0.0021579824],"category_scores_gemma":[0.005853897,0.0003650222,0.00047668442,0.00035940224,0.00055323803,0.00076249003,0.001035328,0.0007659512,0.00089932646],"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":[0.00095340813,0.00012681008,0.001992221,0.0003922314,0.00011556665,0.0008019487,0.00050134276,0.3942171,0.10833295,0.021732522,0.0029987276,0.4678351],"study_design_scores_gemma":[0.00001814248,0.000104863466,0.00026945336,0.000013110541,0.000008769423,0.00024335677,0.000019644272,0.9679032,0.025716553,0.0018316293,0.003849454,0.000021864376],"about_ca_topic_score_codex":0.0022720161,"about_ca_topic_score_gemma":0.0019322295,"teacher_disagreement_score":0.0022720161,"about_ca_system_score_codex":0.00047064447,"about_ca_system_score_gemma":0.00050908106,"threshold_uncertainty_score":0.0074039698},"labels":[],"label_agreement":null},{"id":"W1971226619","doi":"10.1109/tuffc.2010.1707","title":"Difference frequency magneto-acousto-electrical tomography (DF-MAET): application of ultrasound-induced radiation force to imaging electrical current density","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Electrical and Bioimpedance Tomography","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":"Toronto Metropolitan University","funders":"","keywords":"Ultrasound; Magneto; Current (fluid); Electrical current; Tomography; Radiation; Current density; Materials science; Electric current; Acoustics; Physics; Nuclear magnetic resonance; Optics; Electrical engineering; Voltage; Engineering","score_opus":0.004439619956060006,"score_gpt":0.20875674192072616,"score_spread":0.20431712196466614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971226619","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3188978,0.006171164,0.66574603,0.0013799306,0.00039600048,0.00014664404,0.00024996905,0.0007457433,0.006266591],"genre_scores_gemma":[0.7259134,0.0027651985,0.26771247,0.00054580404,0.00013745046,0.00012334595,0.00013769371,0.00005588961,0.0026088317],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999622,0.00006283155,0.000019494568,0.00010024064,0.0001604876,0.000034889577],"domain_scores_gemma":[0.9994455,0.00025342105,0.0001417721,0.00003956147,0.000081242004,0.000038517497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047683896,0.00046754035,0.00031715393,0.00082419155,0.00018015025,0.000447224,0.00063153467,0.0010715184,0.0007423975],"category_scores_gemma":[0.0014122925,0.00033638102,0.0002406408,0.00077286,0.0006962419,0.0011080271,0.0008907617,0.0006237577,0.00017217168],"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":[0.00014965667,0.000040588453,0.0015252159,0.00034039665,0.000021811506,0.00031557112,0.00009787094,0.001442991,0.9503772,0.0021843552,0.000505917,0.042998385],"study_design_scores_gemma":[0.00005268938,0.00032955888,0.004493959,0.000046018373,0.000045371555,0.0023120523,0.00011271917,0.046133965,0.9361269,0.0016129717,0.008670184,0.000063499356],"about_ca_topic_score_codex":0.00042253427,"about_ca_topic_score_gemma":0.00065062084,"teacher_disagreement_score":0.0010715184,"about_ca_system_score_codex":0.00034688663,"about_ca_system_score_gemma":0.00019206408,"threshold_uncertainty_score":0.002521813},"labels":[],"label_agreement":null},{"id":"W1971741083","doi":"10.1081/drt-120004051","title":"EFFECT OF PARTICLE SIZE DISTRIBUTION ON LOCAL VOIDAGE IN A BENCH-SCALE CONICAL FLUIDIZED BED DRYER","year":2002,"lang":"en","type":"article","venue":"Drying Technology","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Merck Canada Inc. (Canada); University of Saskatchewan; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Merck Canada","keywords":"Superficial velocity; Materials science; Fluidized bed; Conical surface; Mechanics; Fluidization; Packed bed; Particle size; Fluidized bed combustion; Flow (mathematics); Mineralogy; Composite material; Chemistry; Chromatography","score_opus":0.0036364804647219594,"score_gpt":0.19922010697698816,"score_spread":0.1955836265122662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971741083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99616784,0.00022227982,0.0033401328,0.000015369666,0.0000058484734,0.000017686514,0.00007354132,0.00006444574,0.000092865346],"genre_scores_gemma":[0.9946302,0.00017782272,0.0047688754,0.000026049467,0.0000066153693,0.000016544629,0.00013777553,0.000024029541,0.00021197516],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99961627,0.00006380245,0.000027177808,0.00008346355,0.00015995542,0.000049377995],"domain_scores_gemma":[0.99893516,0.00060976495,0.0001479239,0.00007370378,0.00014019424,0.00009335157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007030107,0.00024031613,0.00051329774,0.00023836143,0.00021021857,0.0004205736,0.0004838984,0.00033630215,0.00044426622],"category_scores_gemma":[0.0017101648,0.00020689203,0.00023839143,0.00019550182,0.0003655379,0.0004104393,0.00024312643,0.00036953625,0.00014441897],"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":[0.00027184148,0.00005898438,0.0005509084,0.000036754293,0.0000060018956,0.00002358436,0.000024433672,0.00047814476,0.9963793,0.000019175943,0.000014363007,0.002136337],"study_design_scores_gemma":[0.000023155038,0.0009861117,0.006041762,0.0000025176766,0.000017781236,0.000035997477,0.000024331366,0.0044243364,0.988226,0.000013670375,0.00019333395,0.00001094807],"about_ca_topic_score_codex":0.0009481067,"about_ca_topic_score_gemma":0.0010538714,"teacher_disagreement_score":0.0009481067,"about_ca_system_score_codex":0.00034918534,"about_ca_system_score_gemma":0.000176205,"threshold_uncertainty_score":0.0037178993},"labels":[],"label_agreement":null},{"id":"W1972339021","doi":"10.1088/0967-3334/27/5/s06","title":"Objective selection of hyperparameter for EIT","year":2006,"lang":"es","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":121,"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":"Hyperparameter; Heuristic; Computer science; Hyperparameter optimization; Machine learning; Selection (genetic algorithm); Artificial intelligence; Regularization (linguistics); Algorithm","score_opus":0.03722445847392857,"score_gpt":0.23427375623759636,"score_spread":0.19704929776366778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972339021","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0064495,0.00007238726,0.9923604,0.000072884555,0.0000076278657,0.000059182323,0.000013423899,0.0004736228,0.0004910069],"genre_scores_gemma":[0.16569898,0.000117315736,0.8320734,0.00013659704,0.000020350559,0.00044587796,0.00012926052,0.00034766665,0.0010305758],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99840623,0.0007916374,0.00010351971,0.00026248413,0.00035582733,0.000080250575],"domain_scores_gemma":[0.99356765,0.004067324,0.0006423975,0.00048657772,0.0011156016,0.000120438555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044801957,0.001555182,0.0011389473,0.0016523383,0.0006421351,0.001522631,0.001201375,0.0017717388,0.0020448228],"category_scores_gemma":[0.015840469,0.0006498273,0.0006471423,0.00068274554,0.0010317144,0.0012672324,0.0012805687,0.0015994193,0.000810475],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017835324,0.000113778726,0.0026980627,0.00016397845,0.00011687959,0.00011019643,0.00025745446,0.59828097,0.011715737,0.009824816,0.0025061786,0.37403366],"study_design_scores_gemma":[0.00003355539,0.000056675915,0.000608288,0.00003443011,0.000018178398,0.000072711155,0.000043425563,0.9865773,0.006152867,0.005349475,0.0010219081,0.000031320793],"about_ca_topic_score_codex":0.0020453997,"about_ca_topic_score_gemma":0.0021044232,"teacher_disagreement_score":0.0044801957,"about_ca_system_score_codex":0.0009856335,"about_ca_system_score_gemma":0.0016797811,"threshold_uncertainty_score":0.02369386},"labels":[],"label_agreement":null},{"id":"W1972505369","doi":"10.1088/0967-3334/30/6/s04","title":"A multi-frequency EIT system design based on telecommunication signal processors","year":2009,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Electrical impedance tomography; Microcontroller; Electronic engineering; Electrical engineering; Acoustics; SIGNAL (programming language); Engineering; Computer science; Electrical impedance; Physics","score_opus":0.08251466350597006,"score_gpt":0.24056576294841633,"score_spread":0.15805109944244627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972505369","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024292212,0.0004794667,0.9632285,0.00024252283,0.00020138355,0.0004519736,0.00014291254,0.0047215302,0.0062393956],"genre_scores_gemma":[0.34409344,0.0005568042,0.6337717,0.00066544255,0.00025375912,0.0011854813,0.0003919413,0.00033393467,0.018747488],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993125,0.00014380082,0.000059634458,0.00019269726,0.00023573202,0.000055516553],"domain_scores_gemma":[0.99949205,0.00013751314,0.000049685354,0.000058033576,0.00022744913,0.000035262747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005872376,0.00059611996,0.0006210595,0.000697428,0.0003093035,0.00085926935,0.0013469311,0.00073686306,0.009031496],"category_scores_gemma":[0.00092151924,0.0003233887,0.00024278753,0.0005994564,0.00022051005,0.0007380307,0.00042442314,0.0004738509,0.0035801646],"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":[0.0013250352,0.0002491975,0.004335749,0.0006910989,0.00012554509,0.0007602669,0.00032021097,0.010851325,0.37597084,0.009098452,0.012317944,0.58395433],"study_design_scores_gemma":[0.00087203353,0.0048036785,0.009052767,0.00021290423,0.0004952065,0.009069924,0.0001501766,0.33362037,0.46360844,0.0037010105,0.17418997,0.00022355642],"about_ca_topic_score_codex":0.00041381738,"about_ca_topic_score_gemma":0.0003975256,"teacher_disagreement_score":0.009031496,"about_ca_system_score_codex":0.00047046726,"about_ca_system_score_gemma":0.0005890881,"threshold_uncertainty_score":0.030213416},"labels":[],"label_agreement":null},{"id":"W1973329325","doi":"10.1002/cjce.5450830106","title":"Measurement of Solids Distribution in Suspension Flows using Electrical Resistance Tomography","year":2008,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Buoyancy; Physics; Suspension (topology); Reynolds number; Thermodynamics; Mechanics; Turbulence; Mathematics","score_opus":0.011590197143160924,"score_gpt":0.17677108513700537,"score_spread":0.16518088799384445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973329325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.954499,0.00013391908,0.043692768,0.000057194142,0.000008623848,0.000037874037,0.00014744677,0.00024467232,0.0011784465],"genre_scores_gemma":[0.9750744,0.00018318383,0.0236407,0.000030792817,0.000007765696,0.000043632393,0.00015874088,0.000029447456,0.0008312599],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998517,0.000026461357,0.000008746376,0.00004048964,0.000053583102,0.000018935407],"domain_scores_gemma":[0.99970067,0.00013474935,0.000063225416,0.000017745768,0.000063794025,0.000019876952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025910957,0.00026766164,0.00012905941,0.00071047974,0.0001765868,0.00040031367,0.00023578147,0.00033018264,0.0005593896],"category_scores_gemma":[0.0007327638,0.00014108475,0.00013725723,0.00038405624,0.00035021498,0.0005147475,0.00030666174,0.0003827366,0.0001376066],"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":[0.000057241436,0.000013328205,0.0022358242,0.00001749989,0.0000027296226,0.000060446782,0.000058580215,0.0010908968,0.9912493,0.00016880251,0.000025420846,0.0050199726],"study_design_scores_gemma":[0.000025416353,0.0003880156,0.0430151,0.000012559158,0.000023811555,0.00037198307,0.0001622093,0.058755867,0.8956222,0.00035436594,0.001238321,0.00003021642],"about_ca_topic_score_codex":0.00080582633,"about_ca_topic_score_gemma":0.00061334885,"teacher_disagreement_score":0.00080582633,"about_ca_system_score_codex":0.00022669467,"about_ca_system_score_gemma":0.00017134348,"threshold_uncertainty_score":0.0018713474},"labels":[],"label_agreement":null},{"id":"W1973651725","doi":"10.1088/1742-6596/224/1/012149","title":"Using Distmesh as a mesh generating tool for EIT","year":2010,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Computer science","score_opus":0.02147791950489642,"score_gpt":0.25399987942429714,"score_spread":0.23252195991940072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973651725","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026132688,0.000106020285,0.96473134,0.00014150086,0.00010474344,0.00012598628,0.0008885541,0.026605494,0.0046831123],"genre_scores_gemma":[0.034917045,0.00036346956,0.93338084,0.00025097522,0.00004360846,0.0007578336,0.0042788475,0.01790463,0.0081028035],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988142,0.00014518527,0.00012260575,0.00012438504,0.0007304567,0.00006316237],"domain_scores_gemma":[0.9974854,0.0013305981,0.00012938169,0.00036586632,0.00060614455,0.000082586695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017973277,0.0009286888,0.0006969496,0.0013374399,0.0005286144,0.0016003539,0.0027722495,0.0011450814,0.026525982],"category_scores_gemma":[0.0063992077,0.0009400706,0.0011046223,0.00094697997,0.0006222795,0.0017635118,0.0023617146,0.0017588885,0.006662541],"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":[0.00035767604,0.00021017044,0.0029577229,0.0016163657,0.00017534151,0.0008681185,0.0010935375,0.17411211,0.04860518,0.06893384,0.1191374,0.58193254],"study_design_scores_gemma":[0.00015610179,0.000140213,0.0007043354,0.00022522172,0.000043202053,0.0007814482,0.00012980017,0.70058227,0.0588113,0.02708671,0.21121818,0.00012119285],"about_ca_topic_score_codex":0.0010430287,"about_ca_topic_score_gemma":0.0017020856,"teacher_disagreement_score":0.026525982,"about_ca_system_score_codex":0.00054384174,"about_ca_system_score_gemma":0.0010205032,"threshold_uncertainty_score":0.0887382},"labels":[],"label_agreement":null},{"id":"W1975278674","doi":"10.1088/1742-6596/434/1/012078","title":"Experimental/clinical evaluation of EIT image reconstruction with ℓ<sub>1</sub>data and image norms","year":2013,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Regularization (linguistics); Iterative reconstruction; Image resolution; Algorithm; Norm (philosophy); Computer science; Image (mathematics); Mathematics; Tomography; Artificial intelligence; Computer vision; Radiology; Medicine","score_opus":0.03293108001836842,"score_gpt":0.27866150102252324,"score_spread":0.24573042100415482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975278674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6666921,0.0035760058,0.3191713,0.0013566854,0.0003327016,0.0008489135,0.0010496797,0.001647535,0.005325043],"genre_scores_gemma":[0.81378174,0.0015726598,0.17945252,0.0005660315,0.00009989839,0.00057985424,0.0011880216,0.00041199502,0.0023473033],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99852633,0.00059494044,0.0001381445,0.00022057813,0.0004462388,0.000073618416],"domain_scores_gemma":[0.99442744,0.0034710146,0.000470214,0.000570124,0.0008772915,0.00018389204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036886467,0.00085901516,0.0005915191,0.0007913015,0.00027273307,0.00082943623,0.00072716223,0.0015473937,0.0031957638],"category_scores_gemma":[0.0133952135,0.00036057888,0.00034921514,0.0005812155,0.0014081736,0.00079204113,0.0009885597,0.0007790349,0.0005950539],"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":[0.013343227,0.0028801907,0.011272032,0.0036464205,0.00036774544,0.0018187359,0.0009537954,0.15357007,0.5077238,0.004500015,0.0047532967,0.29517058],"study_design_scores_gemma":[0.0009080399,0.015606478,0.016430058,0.00032421548,0.0003518148,0.0077276635,0.0006490047,0.37996626,0.56474483,0.0038790174,0.0091889575,0.0002236177],"about_ca_topic_score_codex":0.0005913013,"about_ca_topic_score_gemma":0.0004527334,"teacher_disagreement_score":0.0036886467,"about_ca_system_score_codex":0.00031163503,"about_ca_system_score_gemma":0.000374239,"threshold_uncertainty_score":0.019507647},"labels":[],"label_agreement":null},{"id":"W1975435662","doi":"10.1088/0967-3334/35/6/915","title":"XVth International Conference on Electrical Bio-Impedance and the XIVth Conference on Electrical Impedance Tomography (Heilbad Heiligenstadt, Germany, 22–25 April 2013)","year":2014,"lang":"en","type":"editorial","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","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":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; Iowa State University; National Institutes of Health; National Science Foundation","keywords":"Electrical impedance tomography; Electrical impedance; Engineering; Electrical engineering","score_opus":0.030544708417513926,"score_gpt":0.247704786425746,"score_spread":0.2171600780082321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975435662","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003393067,0.24261309,0.036014095,0.051437087,0.42432216,0.00040601386,0.0020467709,0.0022776031,0.23749016],"genre_scores_gemma":[0.016199974,0.11708869,0.010725802,0.0078056543,0.07355175,0.00030629258,0.0032248078,0.0015945781,0.76950246],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971566,0.0004406383,0.0001699611,0.0004088922,0.0014991042,0.00032479418],"domain_scores_gemma":[0.9969003,0.00050492334,0.00020371896,0.00027669256,0.0013776686,0.00073668285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030909304,0.001551618,0.0013362673,0.0025325443,0.0009490941,0.0056586554,0.0017100996,0.0023500859,0.117179856],"category_scores_gemma":[0.00481941,0.0005414702,0.00088866265,0.0016004888,0.0014287627,0.003325992,0.0034319402,0.003587785,0.06542393],"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":[0.00008807313,0.00004106756,0.00032056388,0.00033448645,0.0000237215,0.00011752749,0.00008482731,0.0002478373,0.0011948415,0.0042993436,0.82175297,0.17149483],"study_design_scores_gemma":[0.0000051834495,0.000028686633,0.00066222646,0.00023783471,0.000007025585,0.00021974184,0.000051774547,0.00019915622,0.00038181257,0.0014022797,0.9967899,0.000014400189],"about_ca_topic_score_codex":0.00187619,"about_ca_topic_score_gemma":0.003388039,"teacher_disagreement_score":0.117179856,"about_ca_system_score_codex":0.0018311772,"about_ca_system_score_gemma":0.0028372868,"threshold_uncertainty_score":0.39200568},"labels":[],"label_agreement":null},{"id":"W1976593327","doi":"10.1080/17415977.2014.906414","title":"Recovering multiple small inclusions in a three-dimensional domain using a single measurement","year":2014,"lang":"en","type":"article","venue":"Inverse Problems in Science and Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computation; Bounded function; Boundary (topology); Domain (mathematical analysis); Algorithm; Polynomial; Electrical impedance; Mathematics; Electrical impedance tomography; Computer science; Mathematical analysis; Geometry; Physics","score_opus":0.031375469607582245,"score_gpt":0.19621186341567792,"score_spread":0.16483639380809567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976593327","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037450325,0.00004539532,0.9618792,0.00006255545,0.000010366163,0.000021700094,0.00001439172,0.00019405785,0.00032195798],"genre_scores_gemma":[0.25533345,0.000057820682,0.7439023,0.000028123759,0.000009332782,0.000047403322,0.000041173098,0.000038563994,0.0005417834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960583,0.00006728863,0.000017586266,0.00009162702,0.00019010727,0.000027560474],"domain_scores_gemma":[0.9989324,0.00060588564,0.00011900119,0.0001788458,0.00012017359,0.000043781594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008031712,0.000622817,0.0006338871,0.0004165221,0.00040005692,0.0006296238,0.0007991898,0.0015334747,0.0006228951],"category_scores_gemma":[0.0027491224,0.00033310405,0.00042677176,0.00037889587,0.0011224995,0.0013540708,0.0016360732,0.0007537,0.00031176518],"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":[0.0003556305,0.0001588465,0.0029229345,0.00022729258,0.00006919558,0.0005539163,0.00040794475,0.48037654,0.30177987,0.019093627,0.0005032936,0.19355097],"study_design_scores_gemma":[0.000013965349,0.000063088206,0.00031009095,0.0000060199095,0.000006960743,0.00014606633,0.000028511353,0.94752795,0.04845653,0.0029094701,0.0005155942,0.000015617288],"about_ca_topic_score_codex":0.000884394,"about_ca_topic_score_gemma":0.0012944575,"teacher_disagreement_score":0.0015334747,"about_ca_system_score_codex":0.00030434274,"about_ca_system_score_gemma":0.0007311615,"threshold_uncertainty_score":0.004247606},"labels":[],"label_agreement":null},{"id":"W1976685335","doi":"10.1088/0266-5611/17/6/319","title":"Preconditioned all-at-once methods for large, sparse parameter estimation problems","year":2001,"lang":"es","type":"article","venue":"Inverse Problems","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":158,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hessian matrix; Mathematics; Conjugate gradient method; Discretization; Applied mathematics; Newton's method; Mathematical optimization; Mathematical analysis; Nonlinear system","score_opus":0.03881538695291334,"score_gpt":0.3123913797297795,"score_spread":0.2735759927768662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976685335","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009152965,0.00013553354,0.9978029,0.00006520737,0.000021388292,0.000012274499,0.000015942598,0.00025850764,0.0007729811],"genre_scores_gemma":[0.05109245,0.0006427591,0.94319105,0.00007459439,0.00007469306,0.00018628096,0.0001104034,0.0002492698,0.004378534],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995227,0.00020932328,0.000025116935,0.00004593068,0.00017056563,0.000026372702],"domain_scores_gemma":[0.99899024,0.0005766658,0.000092241986,0.00017252014,0.00012765596,0.000040565283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088922976,0.00069588306,0.00089293375,0.00036956795,0.0005317585,0.0005983947,0.0008553202,0.0010156381,0.0053946697],"category_scores_gemma":[0.0027226056,0.00041788942,0.00045085698,0.0005920384,0.00091267633,0.000961982,0.0011787371,0.0016002686,0.002027945],"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":[0.00014265656,0.000072660674,0.00031472364,0.0005137742,0.00007265666,0.00028294002,0.00037869375,0.54589015,0.025667608,0.13448106,0.006543413,0.2856396],"study_design_scores_gemma":[0.000020990277,0.000024685603,0.00006325652,0.000014740603,0.000006460046,0.000048548678,0.000017509106,0.9589851,0.0036655085,0.029695915,0.0074455333,0.000011775164],"about_ca_topic_score_codex":0.002324531,"about_ca_topic_score_gemma":0.003145692,"teacher_disagreement_score":0.0053946697,"about_ca_system_score_codex":0.0003248506,"about_ca_system_score_gemma":0.0009245939,"threshold_uncertainty_score":0.018046975},"labels":[],"label_agreement":null},{"id":"W1977611697","doi":"10.1115/imece2013-65293","title":"A Milli-Fluidic Device for Electrical Impedance Spectroscopy of Complex Liquids","year":2013,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Dielectric spectroscopy; Emulsion; Materials science; Fluidics; Capacitance; Electrical impedance; Equivalent circuit; Microfluidics; Castor oil; Analytical Chemistry (journal); Process engineering; Nanotechnology; Chemical engineering; Chromatography; Voltage; Chemistry; Electrical engineering; Electrode; Organic chemistry; Engineering","score_opus":0.013132751235487974,"score_gpt":0.23306460074395577,"score_spread":0.21993184950846778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977611697","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04641243,0.0027061906,0.93571776,0.0005204195,0.0006136785,0.00065484754,0.002142887,0.0063303737,0.0049013067],"genre_scores_gemma":[0.23955515,0.0018294362,0.7418183,0.00082822476,0.00021243242,0.0016616976,0.0016063611,0.0002303642,0.012258101],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998648,0.00015744308,0.000121113044,0.00029158432,0.00073179754,0.000050106664],"domain_scores_gemma":[0.99883956,0.0005581874,0.0001608457,0.00020047602,0.00018333294,0.00005762438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011584188,0.0007998366,0.00093558413,0.0013040631,0.00051256904,0.0009439304,0.00127921,0.0012508412,0.004934142],"category_scores_gemma":[0.0019096668,0.00044199786,0.00030823462,0.0011344381,0.00053190347,0.0014133676,0.00068084267,0.0014279587,0.0017159579],"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":[0.00010074751,0.00006090974,0.00034573727,0.00024735986,0.000009271604,0.00009494039,0.00006809412,0.00018110995,0.9492756,0.0023693477,0.0025362896,0.044710543],"study_design_scores_gemma":[0.000049888888,0.00042618194,0.002017608,0.000032885728,0.000031394175,0.001589172,0.000033807282,0.010026947,0.92822236,0.0008050199,0.056695096,0.000069546026],"about_ca_topic_score_codex":0.00015048329,"about_ca_topic_score_gemma":0.00036126186,"teacher_disagreement_score":0.004934142,"about_ca_system_score_codex":0.00044071022,"about_ca_system_score_gemma":0.00042295214,"threshold_uncertainty_score":0.016506314},"labels":[],"label_agreement":null},{"id":"W1977914281","doi":"10.1016/j.artres.2011.10.225","title":"6.1 UNSUPERVISED NON-INVASIVE MEASUREMENT OF AORTIC PULSE TRANSIT TIME BY MEANS OF ELECTRICAL IMPEDANCE TOMOGRAPHY","year":2011,"lang":"en","type":"article","venue":"Artery Research","topic":"Electrical and Bioimpedance Tomography","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","funders":"","keywords":"Medicine; Electrical impedance tomography; Transit time; Pulse (music); Tomography; Cardiology; Internal medicine; Radiology; Electrical engineering; Engineering","score_opus":0.03865987882132391,"score_gpt":0.2456535202078492,"score_spread":0.2069936413865253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977914281","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15262514,0.0005663086,0.8236879,0.00014754133,0.000109942666,0.00038010898,0.004392331,0.011251795,0.00683898],"genre_scores_gemma":[0.51540744,0.00042856936,0.46875933,0.00015502078,0.00019061202,0.000829501,0.0042912783,0.00044751682,0.009490774],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99948704,0.0001222345,0.000033033433,0.00016509424,0.00016117329,0.000031349093],"domain_scores_gemma":[0.99948114,0.00016564004,0.00010853413,0.000067189445,0.00014631056,0.000031217816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053246645,0.00054821454,0.000492551,0.0010549136,0.00014213406,0.00078962627,0.0007038631,0.00067538343,0.0048610005],"category_scores_gemma":[0.0015994102,0.00027633752,0.0003397791,0.00070268015,0.00014283252,0.00045828646,0.0005456307,0.00028995593,0.0041562105],"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":[0.0011558983,0.0003178801,0.080317415,0.00057618506,0.00031496614,0.00022450337,0.00023902542,0.008072796,0.14614812,0.0011103906,0.005467049,0.7560558],"study_design_scores_gemma":[0.00034959213,0.0015345921,0.31768528,0.00016920734,0.00032395718,0.004509544,0.00030351142,0.5239676,0.11730627,0.0032183812,0.030394448,0.00023757611],"about_ca_topic_score_codex":0.00075506885,"about_ca_topic_score_gemma":0.001443732,"teacher_disagreement_score":0.0048610005,"about_ca_system_score_codex":0.00012383897,"about_ca_system_score_gemma":0.00030128288,"threshold_uncertainty_score":0.016261637},"labels":[],"label_agreement":null},{"id":"W1981259519","doi":"10.1088/0967-3334/29/6/s07","title":"Reconstruction of conductivity changes and electrode movements based on EIT temporal sequences","year":2008,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":21,"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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance tomography; Iterative reconstruction; Temporal resolution; Jacobian matrix and determinant; Image resolution; Noise (video); Imaging phantom; Computer vision; Artificial intelligence; Computer science; Regularization (linguistics); Image (mathematics); Tomography; Mathematics; Physics; Optics","score_opus":0.07860685146726769,"score_gpt":0.22265490163656984,"score_spread":0.14404805016930217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981259519","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03654052,0.00014900563,0.9621639,0.00014020456,0.000026865877,0.000020217076,0.00004977787,0.00023906027,0.00067040906],"genre_scores_gemma":[0.36655694,0.0007768925,0.62945026,0.00011506649,0.00004173008,0.0000673836,0.00026621984,0.00011172395,0.002613769],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998661,0.000029360674,0.000010516924,0.000027945971,0.0000567283,0.0000093153985],"domain_scores_gemma":[0.9996574,0.0001438137,0.000063735075,0.000046078236,0.00007143723,0.000017523049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039831502,0.00042666437,0.0003093362,0.00043361617,0.0001038252,0.00055117736,0.0003552369,0.00069165457,0.0007687488],"category_scores_gemma":[0.003007677,0.00032677987,0.00034210895,0.00049848104,0.0003689259,0.0006537458,0.00033678405,0.00058366475,0.0002629945],"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":[0.0005394566,0.00008059452,0.003145184,0.0002747809,0.000052533705,0.0007774485,0.00029358987,0.4873378,0.22834064,0.012357965,0.0013753964,0.26542464],"study_design_scores_gemma":[0.000017868666,0.00006188637,0.0016061874,0.000019308955,0.000015612566,0.0008032588,0.000035544897,0.94531476,0.04751812,0.0028759742,0.00170734,0.000024220519],"about_ca_topic_score_codex":0.00093100686,"about_ca_topic_score_gemma":0.00097310933,"teacher_disagreement_score":0.00093100686,"about_ca_system_score_codex":0.00020794099,"about_ca_system_score_gemma":0.00042598895,"threshold_uncertainty_score":0.002571702},"labels":[],"label_agreement":null},{"id":"W1981677099","doi":"10.1002/cjce.20637","title":"An estimate of the axial dispersion during flow through a compressible wood‐chip bed","year":2011,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Compressibility; Porosity; Mechanics; Materials science; Compaction; Dispersion (optics); Porous medium; Geotechnical engineering; Composite material; Geology; Physics; Optics","score_opus":0.009043396610910566,"score_gpt":0.1816774020652813,"score_spread":0.17263400545437074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981677099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9740029,0.00018048461,0.025139248,0.000018189123,0.0000047866843,0.000010274572,0.000056333814,0.00010194551,0.00048585393],"genre_scores_gemma":[0.9949986,0.000054774748,0.0046927887,0.0000039879224,0.0000019322422,0.000007755564,0.00004628708,0.000007025149,0.00018688737],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999187,0.000009324688,0.0000047369194,0.000019103663,0.00003236381,0.000015703174],"domain_scores_gemma":[0.9995511,0.00017300497,0.00010165007,0.000038382586,0.00010650072,0.000029349298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031319755,0.00021256952,0.00019234171,0.0006739949,0.000296002,0.00037449293,0.00029841502,0.00017717101,0.0006978216],"category_scores_gemma":[0.000847918,0.00014079378,0.00007628871,0.00021290785,0.000521514,0.0004085092,0.000314283,0.00026181136,0.000086643784],"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":[0.00033712998,0.000058308306,0.016248288,0.00005752401,0.00001342071,0.00010470222,0.00017263218,0.008736318,0.95496356,0.0005419275,0.00007301945,0.018693313],"study_design_scores_gemma":[0.000018166995,0.0003726063,0.054791555,0.000012173897,0.000022385992,0.00015920718,0.00018304863,0.108598985,0.83496255,0.0002657965,0.0005771546,0.000036392994],"about_ca_topic_score_codex":0.0018540033,"about_ca_topic_score_gemma":0.0012448753,"teacher_disagreement_score":0.0018540033,"about_ca_system_score_codex":0.00031509186,"about_ca_system_score_gemma":0.00017035512,"threshold_uncertainty_score":0.003686428},"labels":[],"label_agreement":null},{"id":"W1983125251","doi":"10.1002/cjce.5450830105","title":"Void Fraction Measurement for Two-Phase Flow Using Electrical Resistance Tomography","year":2008,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Tomography; Electrical resistance and conductance; Materials science; Porosity; Fraction (chemistry); Two-phase flow; Mechanics; Flow (mathematics); Composite material; Physics; Chemistry; Optics; Chromatography","score_opus":0.018011025954813475,"score_gpt":0.21028708395278953,"score_spread":0.19227605799797606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983125251","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3526574,0.0014792709,0.64167017,0.0002088022,0.000058513102,0.00007994994,0.00020805103,0.0012871472,0.00235072],"genre_scores_gemma":[0.85508573,0.0008148199,0.14279228,0.000051895422,0.000024614228,0.000052510553,0.0001268118,0.00009650997,0.00095483306],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996933,0.00006202957,0.000013834426,0.000056767192,0.00015570737,0.00001835888],"domain_scores_gemma":[0.99907553,0.000565699,0.00014019817,0.000093141374,0.00010583884,0.000019529954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005052261,0.0003892419,0.0003569783,0.0007988475,0.00017309842,0.0005229568,0.00037253986,0.0006351601,0.0009674961],"category_scores_gemma":[0.0018435972,0.00020833233,0.00021281143,0.0006509291,0.00048874825,0.0011259582,0.00035795788,0.00035837377,0.00019146726],"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":[0.00019288789,0.00005583928,0.0032902113,0.00028931667,0.000023025532,0.00018378375,0.00016816297,0.011665513,0.9092978,0.0011546408,0.00017224577,0.07350658],"study_design_scores_gemma":[0.00002973805,0.00051462994,0.013006548,0.000047012083,0.000042084164,0.00087787886,0.00015770648,0.20015393,0.7784675,0.001409994,0.005215155,0.000077972894],"about_ca_topic_score_codex":0.00042011822,"about_ca_topic_score_gemma":0.0007838618,"teacher_disagreement_score":0.0009674961,"about_ca_system_score_codex":0.00024052564,"about_ca_system_score_gemma":0.00020749021,"threshold_uncertainty_score":0.0032365918},"labels":[],"label_agreement":null},{"id":"W1985420412","doi":"10.1016/j.jcis.2014.02.018","title":"Effect of induced surface charge of metal particles on particle sizing by resistive pulse sensing technique","year":2014,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":8,"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 Waterloo","funders":"","keywords":"Sizing; Polystyrene; Particle (ecology); Resistive touchscreen; Materials science; SIGNAL (programming language); Voltage; Metal; Magnetic particle inspection; Surface charge; Pulse (music); Microfluidics; Magnetic nanoparticles; Optoelectronics; Nanotechnology; Chemistry; Composite material; Nanoparticle; Physics; Electrical engineering; Polymer","score_opus":0.0053776499755368795,"score_gpt":0.23787216233966735,"score_spread":0.23249451236413046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985420412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889286,0.0004940353,0.009121203,0.00012751827,0.00006739958,0.000016599945,0.00004952266,0.00012257783,0.001072498],"genre_scores_gemma":[0.99566513,0.0001908346,0.0033172327,0.0000553163,0.000023088158,0.000010751786,0.000022857439,0.000017849516,0.00069687696],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971324,0.000057961894,0.00001893098,0.000084015446,0.00008849385,0.000037238384],"domain_scores_gemma":[0.998933,0.0006815057,0.00012582974,0.000107336775,0.000109004526,0.000043308213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042780902,0.00029947213,0.00023073386,0.00013879273,0.00016202818,0.00039220235,0.0004491018,0.00053226936,0.0013960865],"category_scores_gemma":[0.0010812836,0.00028352172,0.0002293162,0.00017150154,0.00040260114,0.0004790083,0.00026005774,0.00055087014,0.00022633055],"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":[0.000115002535,0.000012160521,0.00013316376,0.000033804525,0.0000044294466,0.00004581068,0.00006160599,0.00006974272,0.9971282,0.00007974171,0.000026132278,0.002290363],"study_design_scores_gemma":[0.00000589236,0.000098420336,0.00077825494,0.0000014545666,0.0000071619834,0.00004138811,0.000015466198,0.001429621,0.9974446,0.000020843963,0.00015259886,0.0000042440265],"about_ca_topic_score_codex":0.00018337672,"about_ca_topic_score_gemma":0.00029842698,"teacher_disagreement_score":0.0013960865,"about_ca_system_score_codex":0.000184065,"about_ca_system_score_gemma":0.00012972493,"threshold_uncertainty_score":0.0046703815},"labels":[],"label_agreement":null},{"id":"W1986338685","doi":"10.1109/embc.2012.6346653","title":"On the use of smart stents for monitoring in-stent restenosis","year":2012,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"University of British Columbia","funders":"","keywords":"Restenosis; Stent; Computer science; Medicine; Radiology","score_opus":0.06718780833870217,"score_gpt":0.23985153922602032,"score_spread":0.17266373088731815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986338685","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67750275,0.007308224,0.3052186,0.00067930284,0.00016249435,0.000098441524,0.00015427823,0.00045247958,0.008423467],"genre_scores_gemma":[0.94824076,0.0043359026,0.045599792,0.00017534272,0.000065465014,0.000029683484,0.000047855552,0.000017848817,0.001487364],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99981517,0.00005452483,0.000009126102,0.0000341687,0.00007815425,0.000008773808],"domain_scores_gemma":[0.99967873,0.00019779842,0.00004665526,0.000034605273,0.00003522526,0.0000070321375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002389396,0.0003031829,0.00024617417,0.0002740277,0.00010038675,0.0003441425,0.00043715147,0.0005554651,0.0006597891],"category_scores_gemma":[0.00052507786,0.00013912082,0.00021043194,0.00029479913,0.0003391063,0.00045426068,0.00015543123,0.00016998762,0.00021945439],"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":[0.00051672064,0.00007905372,0.004282245,0.00052778964,0.000055373024,0.00062936044,0.00018782432,0.012805728,0.8767275,0.0043167262,0.00036305859,0.099508494],"study_design_scores_gemma":[0.000035458015,0.001337861,0.010693272,0.000126413,0.00019507043,0.001968898,0.00010323522,0.10168074,0.8700611,0.002163477,0.011567615,0.00006681494],"about_ca_topic_score_codex":0.00013463077,"about_ca_topic_score_gemma":0.0002481312,"teacher_disagreement_score":0.0006597891,"about_ca_system_score_codex":0.00010607456,"about_ca_system_score_gemma":0.00006733433,"threshold_uncertainty_score":0.0022072196},"labels":[],"label_agreement":null},{"id":"W1986929460","doi":"10.1109/isspa.2012.6310662","title":"EIT system and reconstruction algorithm adapted for skin cancer imaging","year":2012,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Electrical impedance tomography; Finite element method; Iterative reconstruction; Computer science; Reconstruction algorithm; Algorithm; Electronic circuit; Biomedical engineering; Tomography; Electrical impedance; Medical imaging; Proof of concept; Electronic engineering; Computer vision; Artificial intelligence; Engineering; Optics; Electrical engineering; Physics","score_opus":0.005866446164238446,"score_gpt":0.2011401794469865,"score_spread":0.19527373328274805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986929460","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028923836,0.000045379376,0.9953258,0.000032915075,0.00001849241,0.000042580934,0.000039370527,0.0010851162,0.0005179325],"genre_scores_gemma":[0.049742024,0.00013678473,0.9465537,0.00007725573,0.000016986314,0.0001974385,0.00027281768,0.00014772377,0.0028551745],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996991,0.00006268653,0.00002645636,0.00007245542,0.00012298253,0.000016340473],"domain_scores_gemma":[0.99970454,0.00006323218,0.000020904024,0.00006472341,0.00013105522,0.000015527545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005173149,0.00039992368,0.00046676706,0.00057886116,0.00019077751,0.0005936383,0.0006795271,0.00085410953,0.0053927433],"category_scores_gemma":[0.0012348043,0.0003118532,0.0003840857,0.0005573659,0.00014069339,0.0005017471,0.0005179237,0.0005615162,0.0021675765],"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":[0.0005007595,0.00010138606,0.0016972307,0.00022354904,0.00007348673,0.0005625395,0.0001583707,0.092262894,0.19145414,0.006917662,0.00728252,0.69876546],"study_design_scores_gemma":[0.000045511377,0.00014744546,0.001182773,0.000018871275,0.000037210117,0.001799242,0.000027235501,0.92308736,0.053175613,0.0012067253,0.01921659,0.00005539984],"about_ca_topic_score_codex":0.00069639157,"about_ca_topic_score_gemma":0.0005683061,"teacher_disagreement_score":0.0053927433,"about_ca_system_score_codex":0.00021578024,"about_ca_system_score_gemma":0.0003673098,"threshold_uncertainty_score":0.018040478},"labels":[],"label_agreement":null},{"id":"W1988459849","doi":"10.1016/j.ces.2012.03.012","title":"In-line jet mixing of liquid–pulp–fibre suspensions: Effect of concentration and velocities","year":2012,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pulp (tooth); Kraft process; Rheology; Mixing (physics); Mechanics; Materials science; Rheometer; Composite material; Non-Newtonian fluid; Newtonian fluid; Jet (fluid); Chemistry; Analytical Chemistry (journal); Chromatography; Kraft paper; Physics","score_opus":0.005553253111342153,"score_gpt":0.21175529931192458,"score_spread":0.2062020462005824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988459849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99705267,0.00021324234,0.0021056724,0.000031015086,0.000023182152,0.000011584529,0.000044485605,0.000037055786,0.0004811789],"genre_scores_gemma":[0.99692434,0.0001505048,0.0019016046,0.000014977347,0.000016562197,0.0000072781263,0.00008256866,0.000022375232,0.0008798165],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99968624,0.00007363536,0.000026534604,0.0000609515,0.00007587425,0.000076726545],"domain_scores_gemma":[0.9992361,0.0004044718,0.00016210864,0.000034256154,0.00008821027,0.00007473647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053959276,0.00042578025,0.00040637294,0.00023420238,0.00038489775,0.0007954778,0.00035775625,0.0005055464,0.0016752189],"category_scores_gemma":[0.001071245,0.0002514312,0.00024584366,0.00027429537,0.00026569728,0.00058572355,0.00026771805,0.00066042604,0.0002573961],"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":[0.00077020016,0.00008904196,0.00037842218,0.00003504158,0.000008076214,0.000039238945,0.000078513185,0.0003006752,0.9956359,0.000047052392,0.000033921155,0.0025838832],"study_design_scores_gemma":[0.000024363326,0.00051171443,0.0011051024,0.000002372122,0.000013882322,0.000018999981,0.000019617657,0.0032370216,0.9948428,0.000014188565,0.00020413059,0.0000059209037],"about_ca_topic_score_codex":0.0008974121,"about_ca_topic_score_gemma":0.0009265569,"teacher_disagreement_score":0.0016752189,"about_ca_system_score_codex":0.00041192013,"about_ca_system_score_gemma":0.000281858,"threshold_uncertainty_score":0.005604148},"labels":[],"label_agreement":null},{"id":"W1990656001","doi":"10.1118/1.4814188","title":"SU‐E‐I‐77: A Phantom to Assess EIT/CT Imaging System","year":2013,"lang":"en","type":"article","venue":"Medical Physics","topic":"Electrical and Bioimpedance Tomography","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":"BC Cancer Agency","funders":"","keywords":"Imaging phantom; Electrical impedance tomography; Scanner; Tomography; Materials science; Image quality; Biomedical engineering; Iterative reconstruction; Voltage; Electrode; Nuclear medicine; Medical imaging; Physics; Optics; Computer science; Artificial intelligence; Medicine; Image (mathematics)","score_opus":0.009570856468774558,"score_gpt":0.22451349774422882,"score_spread":0.21494264127545426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990656001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75527835,0.007916815,0.22920382,0.00036672005,0.00014055228,0.0004889472,0.00055102276,0.0010554952,0.0049982322],"genre_scores_gemma":[0.86917365,0.0019785503,0.1250418,0.00017861447,0.000015591271,0.0004069036,0.0007225833,0.00012938511,0.0023529178],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99970967,0.000082516744,0.000021613181,0.0000412889,0.00011952387,0.000025368938],"domain_scores_gemma":[0.9994517,0.00021319983,0.00009813764,0.000088052104,0.0001057094,0.00004322059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010572432,0.00042423359,0.00022740517,0.00061580894,0.00013158786,0.0003712412,0.0003982683,0.0006118719,0.0012292847],"category_scores_gemma":[0.0013777537,0.00019978227,0.00016816235,0.0003434049,0.0003480505,0.00041176684,0.00032733643,0.00026697147,0.00040661302],"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":[0.00032348084,0.00014604958,0.0017687252,0.00024301944,0.000028352724,0.0002972359,0.000059975282,0.003786053,0.97797376,0.0007538842,0.00029684723,0.01432257],"study_design_scores_gemma":[0.00006525798,0.0022801918,0.008226406,0.000084614956,0.00015498378,0.003288327,0.00007638851,0.041886903,0.93453777,0.00040520896,0.008946434,0.00004749856],"about_ca_topic_score_codex":0.00037007494,"about_ca_topic_score_gemma":0.00030571537,"teacher_disagreement_score":0.0012292847,"about_ca_system_score_codex":0.00026347258,"about_ca_system_score_gemma":0.00045404164,"threshold_uncertainty_score":0.0055912733},"labels":[],"label_agreement":null},{"id":"W1991676281","doi":"10.1371/journal.pone.0103045","title":"Functional Validation and Comparison Framework for EIT Lung Imaging","year":2014,"lang":"es","type":"article","venue":"PLoS ONE","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Algorithm; Smoothing; Reconstruction algorithm; Iterative reconstruction; Computer science; Mathematics; Tomography; Artificial intelligence; Medicine; Radiology; Computer vision","score_opus":0.02582667364613039,"score_gpt":0.2348836698577335,"score_spread":0.20905699621160312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991676281","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043816864,0.00024519072,0.9941877,0.00014493015,0.00002194651,0.00010583727,0.0000622748,0.00020081684,0.0006497047],"genre_scores_gemma":[0.28255013,0.00033714576,0.7132652,0.00016699017,0.00013474011,0.0010519687,0.0009147296,0.00022027509,0.0013587545],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9886761,0.007179167,0.0005464928,0.0013170678,0.0019445303,0.00033661863],"domain_scores_gemma":[0.9800899,0.010265157,0.0018682021,0.0012332839,0.006060646,0.00048288467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03071313,0.0014081622,0.0014504484,0.0031595414,0.00074528466,0.0023377913,0.0029928018,0.0023373321,0.0038907107],"category_scores_gemma":[0.038375467,0.0004278141,0.0018435383,0.0011491238,0.002977026,0.001982263,0.0035058765,0.0019485988,0.0006985222],"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":[0.00054981536,0.00024867916,0.0053626536,0.00065050134,0.00031430734,0.00040829205,0.0003086113,0.5963903,0.005214924,0.18676054,0.00253033,0.20126107],"study_design_scores_gemma":[0.000028395256,0.0002365291,0.00062242604,0.00007273367,0.000033788896,0.00008271616,0.00002858744,0.96828485,0.0012376203,0.027443413,0.0019109618,0.000017939466],"about_ca_topic_score_codex":0.0045600254,"about_ca_topic_score_gemma":0.001655446,"teacher_disagreement_score":0.03071313,"about_ca_system_score_codex":0.0021848215,"about_ca_system_score_gemma":0.003502558,"threshold_uncertainty_score":0.1624285},"labels":[],"label_agreement":null},{"id":"W1991771451","doi":"10.1021/ie800292d","title":"New Calibration Methods for Accurate Electrical Capacitance Tomography Measurements in Particulate-Fluid Systems","year":2008,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude","keywords":"Relative permittivity; Permittivity; Electrical capacitance tomography; Materials science; Calibration; Capacitance; Particulates; Range (aeronautics); Analytical Chemistry (journal); Composite material; Chemistry; Chromatography; Dielectric; Optoelectronics; Physics; Electrode","score_opus":0.181265945483934,"score_gpt":0.3634850850239642,"score_spread":0.18221913954003022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991771451","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036871538,0.00052912434,0.99427503,0.00007018852,0.00007156598,0.000038723025,0.000039309685,0.0007564823,0.0005324536],"genre_scores_gemma":[0.07872471,0.0009709762,0.91789895,0.000117625175,0.00008992629,0.00019589254,0.00015086154,0.00016730987,0.0016837175],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99558926,0.00056708,0.00018467172,0.00056604744,0.0030130304,0.00007990709],"domain_scores_gemma":[0.9940626,0.0021796196,0.00071146816,0.0008086107,0.0021436405,0.000094049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043427264,0.0011248919,0.00077198516,0.0020413082,0.00040993033,0.0011697236,0.0018168584,0.001460112,0.0017396557],"category_scores_gemma":[0.012818703,0.00085207087,0.00037128368,0.002002218,0.0010197855,0.0029408713,0.0015044872,0.0023228852,0.0010892297],"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":[0.00021106111,0.0001503041,0.0027853255,0.0006522049,0.00007489887,0.0002621784,0.0004404361,0.020124055,0.5670956,0.019885706,0.0027590306,0.38555923],"study_design_scores_gemma":[0.00006843574,0.00019017489,0.0029770934,0.00010297257,0.00005820131,0.0013643468,0.00008905772,0.27965006,0.6793336,0.0056630513,0.0302978,0.00020512842],"about_ca_topic_score_codex":0.0006099342,"about_ca_topic_score_gemma":0.0013145249,"teacher_disagreement_score":0.0043427264,"about_ca_system_score_codex":0.0010757303,"about_ca_system_score_gemma":0.0005820254,"threshold_uncertainty_score":0.022966802},"labels":[],"label_agreement":null},{"id":"W1992727099","doi":"10.1088/0967-3334/33/5/787","title":"Addressing the computational cost of large EIT solutions","year":2012,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Computer science; Solver; Finite element method; Algorithm; Inverse problem; Node (physics); Computational science; Sparse matrix; Matrix (chemical analysis); Mathematical optimization; Tomography; Mathematics; Physics; Acoustics","score_opus":0.2716274906413277,"score_gpt":0.3088782458246451,"score_spread":0.03725075518331744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992727099","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09956446,0.0011447788,0.85694414,0.004016753,0.00048516341,0.00024237335,0.00063049275,0.0074829003,0.02948896],"genre_scores_gemma":[0.27710965,0.0008958272,0.7109556,0.0003734456,0.00010610312,0.00040287725,0.0014335662,0.001808451,0.00691445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99895006,0.00025695152,0.000056952926,0.0001321343,0.000489591,0.00011444151],"domain_scores_gemma":[0.9933975,0.0041719573,0.00022795369,0.00070952496,0.0012742057,0.00021882176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015450043,0.001004567,0.00083274656,0.00086808694,0.0011925015,0.0016882545,0.0023819923,0.0011529048,0.014167916],"category_scores_gemma":[0.011728396,0.00053851324,0.0008464581,0.0013966603,0.000841663,0.0029257594,0.002171904,0.0016746974,0.0033264298],"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":[0.00058792456,0.00026291382,0.004854548,0.001071462,0.00014661058,0.00089825067,0.0009683416,0.45380872,0.03323498,0.053101074,0.038227454,0.4128377],"study_design_scores_gemma":[0.000076449214,0.00008986023,0.00074247085,0.00005475326,0.000030154626,0.00022499888,0.00029404552,0.95223397,0.011695202,0.016876735,0.017649,0.000032268705],"about_ca_topic_score_codex":0.0045305775,"about_ca_topic_score_gemma":0.0078350995,"teacher_disagreement_score":0.014167916,"about_ca_system_score_codex":0.0008067252,"about_ca_system_score_gemma":0.0026916503,"threshold_uncertainty_score":0.04739636},"labels":[],"label_agreement":null},{"id":"W1994318311","doi":"10.1088/0967-3334/34/9/1027","title":"An experimental clinical evaluation of EIT imaging with ℓ<sub>1</sub>data and image norms","year":2013,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Outlier; Iterative reconstruction; Robustness (evolution); Image quality; Algorithm; Image resolution; Regularization (linguistics); Hyperparameter; Computer science; Norm (philosophy); Tomography; Image (mathematics); Mathematics; Artificial intelligence; Mathematical optimization; Physics; Optics","score_opus":0.1035473431327362,"score_gpt":0.31710267807669107,"score_spread":0.21355533494395487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994318311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7474062,0.0021015133,0.24267766,0.0013606187,0.0002955469,0.0006127303,0.00070859824,0.00072565157,0.004111557],"genre_scores_gemma":[0.88709784,0.00090923044,0.1083226,0.00042502588,0.00008102885,0.00044029506,0.0006989238,0.00016734019,0.001857868],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984681,0.0007258078,0.00010957494,0.0002553098,0.00037398562,0.00006715182],"domain_scores_gemma":[0.9944478,0.0037212244,0.000386353,0.00048763666,0.0007908397,0.00016618453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032298064,0.0007325142,0.00063755875,0.0006319712,0.00026433158,0.00086877326,0.000715015,0.0014932133,0.0020248254],"category_scores_gemma":[0.013380506,0.0003600142,0.00032435113,0.00048360747,0.0015487714,0.00077445875,0.0010807306,0.0007949349,0.00046420022],"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":[0.011629611,0.0035224678,0.015685694,0.0026468139,0.00027789274,0.002456865,0.0014060342,0.19528742,0.4509598,0.0067559895,0.0052989717,0.30407244],"study_design_scores_gemma":[0.00089073053,0.022212202,0.020077445,0.00028334447,0.00029340573,0.0064742845,0.0008504457,0.59456533,0.33881533,0.004797537,0.010520163,0.00021979443],"about_ca_topic_score_codex":0.0005158925,"about_ca_topic_score_gemma":0.0004706422,"teacher_disagreement_score":0.0032298064,"about_ca_system_score_codex":0.00037229026,"about_ca_system_score_gemma":0.00037864404,"threshold_uncertainty_score":0.017081082},"labels":[],"label_agreement":null},{"id":"W1994466028","doi":"10.1063/1.2956974","title":"Multichannel digital phase sensitive detection using a field programmable gate array development platform","year":2008,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Field-programmable gate array; Demodulation; Gate array; Computer science; Programmable logic device; Computer hardware; Scalability; Digital signal processing; SIGNAL (programming language); Data acquisition; Detector; Electronic circuit; Digital electronics; Electronic engineering; Electrical engineering; Engineering; Telecommunications","score_opus":0.026674778038614996,"score_gpt":0.2512697837390598,"score_spread":0.22459500570044477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994466028","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10475383,0.0041037,0.8759555,0.00031738574,0.00025094545,0.00048679594,0.0001744732,0.0023850878,0.011572281],"genre_scores_gemma":[0.1783782,0.0020261165,0.81207025,0.00022176543,0.000057203164,0.00023199494,0.00019617371,0.00008744387,0.006730869],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99966085,0.000040109157,0.000016485932,0.0000776744,0.00017654173,0.000028446506],"domain_scores_gemma":[0.9997297,0.000128727,0.000035095447,0.000030409356,0.00005740438,0.000018707451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042636413,0.0004883666,0.00025984904,0.00038995242,0.000167538,0.00053200335,0.00067078095,0.0004496518,0.0014723206],"category_scores_gemma":[0.00047048455,0.00027160716,0.00018213635,0.00020499965,0.00021527799,0.00056788675,0.00028425414,0.0005920869,0.000577169],"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":[0.00013040757,0.00012620482,0.00078609167,0.0002759969,0.000021070293,0.00029549678,0.00006924593,0.003193746,0.7714504,0.0050647017,0.0012291225,0.21735755],"study_design_scores_gemma":[0.000048725768,0.0009396519,0.0008793952,0.000039591523,0.00002546782,0.0017330204,0.000019169745,0.026523953,0.9321005,0.0009781616,0.036671523,0.000040770574],"about_ca_topic_score_codex":0.0002765431,"about_ca_topic_score_gemma":0.0006293785,"teacher_disagreement_score":0.0014723206,"about_ca_system_score_codex":0.00034569652,"about_ca_system_score_gemma":0.00044708012,"threshold_uncertainty_score":0.00492543},"labels":[],"label_agreement":null},{"id":"W1995325863","doi":"10.1088/0967-3334/26/4/006","title":"A parametric model of the relationship between EIT and total lung volume","year":2005,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôpital Maisonneuve-Rosemont; Polytechnique Montréal","funders":"","keywords":"Spirometer; Electrical impedance tomography; Supine position; Lung volumes; Breathing; Tidal volume; Spirometry; Mathematics; Nuclear medicine; Statistics; Medicine; Tomography; Lung; Anatomy; Anesthesia; Internal medicine; Radiology; Respiratory system; Asthma","score_opus":0.09412470095291528,"score_gpt":0.23879925215679412,"score_spread":0.14467455120387884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995325863","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22202402,0.0006053214,0.7694545,0.0005557258,0.00010371276,0.00032394278,0.0024014993,0.00078612805,0.0037451442],"genre_scores_gemma":[0.9565725,0.00039441322,0.032901887,0.000109165034,0.000052884403,0.0008477788,0.001347263,0.00007119524,0.007702928],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999057,0.0002442197,0.000045729463,0.00036189426,0.00015760298,0.00013358508],"domain_scores_gemma":[0.9974638,0.0017477106,0.00025265026,0.00015080094,0.00034215266,0.000042864547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017994669,0.000933276,0.0011723606,0.0007497018,0.00030475593,0.0012003713,0.0018876994,0.0017981089,0.0025270502],"category_scores_gemma":[0.0065238927,0.00074692426,0.001346472,0.00074303657,0.0007251325,0.0008275585,0.0006258213,0.0016842154,0.0009402081],"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":[0.00025569135,0.00024128228,0.008546462,0.00014640123,0.00017153377,0.00037190737,0.00028002213,0.95335644,0.0072539663,0.0025834134,0.000800753,0.025992222],"study_design_scores_gemma":[0.000017513725,0.0001280946,0.0046796044,0.000011151016,0.000039034323,0.00015049295,0.000020519152,0.9929624,0.00046310993,0.0011153208,0.0003897505,0.000022959724],"about_ca_topic_score_codex":0.008332578,"about_ca_topic_score_gemma":0.005124908,"teacher_disagreement_score":0.008332578,"about_ca_system_score_codex":0.0007030519,"about_ca_system_score_gemma":0.0010006193,"threshold_uncertainty_score":0.016568184},"labels":[],"label_agreement":null},{"id":"W1995572858","doi":"10.5539/mas.v3n1p108","title":"On the Comparison of Capacitance-Based Tomography Data Normalization Methods for Multilayer Perceptron Recognition of Gas-Oil Flow Patterns","year":2008,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministério da Ciência, Tecnologia e Inovação; Kementerian Sains, Teknologi dan Inovasi","keywords":"Normalization (sociology); Electrical capacitance tomography; Pattern recognition (psychology); Capacitance; Artificial intelligence; Artificial neural network; Computer science; Perceptron; Multilayer perceptron; Physics","score_opus":0.08568101648853434,"score_gpt":0.31452902972997954,"score_spread":0.22884801324144521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995572858","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30621925,0.0012486813,0.68631035,0.0002976301,0.00016568723,0.0001239133,0.0002004416,0.0024972758,0.0029368273],"genre_scores_gemma":[0.80536604,0.00057706865,0.1904919,0.00009397058,0.00004244344,0.000115387214,0.00047487393,0.00013358815,0.002704704],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986533,0.0004386742,0.00013448371,0.0002212201,0.00045821915,0.00009403028],"domain_scores_gemma":[0.9951115,0.0027233474,0.00027951098,0.00038524758,0.0014003987,0.000100027784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004405116,0.00074395345,0.0005993673,0.0008423011,0.00020576145,0.00068568473,0.000645021,0.00074547715,0.0014335957],"category_scores_gemma":[0.01330358,0.00024313084,0.00043350857,0.0007475473,0.00032730555,0.001521894,0.0005488958,0.00067771075,0.00057037466],"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":[0.0016437828,0.0002712595,0.008948201,0.00033817792,0.00027031972,0.00010701487,0.0002115591,0.10224061,0.08206643,0.0015944083,0.0013262713,0.8009819],"study_design_scores_gemma":[0.000033761273,0.00035288793,0.013960443,0.000033888307,0.00010617365,0.00020057595,0.00006758378,0.9012647,0.08219911,0.0005389501,0.0011813211,0.00006056866],"about_ca_topic_score_codex":0.0023003707,"about_ca_topic_score_gemma":0.0024975887,"teacher_disagreement_score":0.004405116,"about_ca_system_score_codex":0.0005150197,"about_ca_system_score_gemma":0.00047576454,"threshold_uncertainty_score":0.023296714},"labels":[],"label_agreement":null},{"id":"W1995664850","doi":"10.1088/0967-3334/31/8/s03","title":"Towards lung EIT image segmentation: automatic classification of lung tissue state from analysis of EIT monitored recruitment manoeuvres","year":2010,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Institutes of Health","keywords":"Electrical impedance tomography; Atelectasis; Medicine; Lung; Ventilation (architecture); Mechanical ventilation; Gold standard (test); Airway; Radiology; Algorithm; Computer science; Tomography; Anesthesia; Internal medicine; Engineering","score_opus":0.06182392605375342,"score_gpt":0.29949237283286595,"score_spread":0.23766844677911253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995664850","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058473933,0.00015405113,0.939224,0.00011223587,0.000019659376,0.00011518085,0.00007351117,0.0013401291,0.0004872069],"genre_scores_gemma":[0.22518985,0.00023102433,0.77319735,0.000065884706,0.000016014686,0.00013776582,0.00020089648,0.000118894815,0.0008422467],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997081,0.00006123822,0.000027332162,0.00007484953,0.000094267765,0.000034192944],"domain_scores_gemma":[0.99928325,0.00021638822,0.00010463562,0.000059517944,0.00029396283,0.000042296895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009396533,0.00050662336,0.00046251802,0.0015944828,0.0002417255,0.0009969833,0.0006001739,0.0010564462,0.00078990817],"category_scores_gemma":[0.0019795557,0.0002629852,0.00036762425,0.0006374351,0.0004206965,0.00053138024,0.0003308317,0.0005276398,0.0005454266],"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":[0.00047785343,0.0001253547,0.00644498,0.00017673144,0.000038112386,0.00015535112,0.00024850215,0.009942016,0.4599212,0.0008767864,0.00072897034,0.5208641],"study_design_scores_gemma":[0.00004643393,0.0003796503,0.039279643,0.000060981558,0.00008251922,0.0009051756,0.00029090897,0.70804113,0.24519987,0.002176185,0.0034572664,0.000080172045],"about_ca_topic_score_codex":0.0012544427,"about_ca_topic_score_gemma":0.0015350305,"teacher_disagreement_score":0.0015944828,"about_ca_system_score_codex":0.00029552376,"about_ca_system_score_gemma":0.00044702942,"threshold_uncertainty_score":0.004969418},"labels":[],"label_agreement":null},{"id":"W1996560139","doi":"10.1021/ie300843z","title":"Pilot-Scale Examination of Mixing Liquid into Pulp Fiber Suspensions in the Presence of an In-Line Mechanical Mixer","year":2012,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":6,"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":"Impeller; Turbulence; Mixing (physics); Mechanics; Materials science; Rotational speed; Chemistry; Mechanical engineering; Physics; Engineering","score_opus":0.07197768987112131,"score_gpt":0.31446525667219455,"score_spread":0.24248756680107325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996560139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99670297,0.00017999519,0.002216297,0.000038947255,0.00002447025,0.00013903022,0.0001800211,0.00004842929,0.0004699099],"genre_scores_gemma":[0.9897169,0.00048217,0.008138397,0.00007374827,0.00002978083,0.00014968024,0.0003232418,0.000047925067,0.001038141],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99937916,0.00015782904,0.00005636844,0.000134534,0.00018382548,0.0000882314],"domain_scores_gemma":[0.9990644,0.00044697511,0.00018323472,0.00005002002,0.00018078437,0.00007455748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010408013,0.00072048506,0.00061354414,0.00027249943,0.0003412212,0.0007916156,0.00045661637,0.00081606937,0.00069137383],"category_scores_gemma":[0.0015316053,0.00029745948,0.00049933174,0.0003463561,0.00038835552,0.00055031094,0.00039590412,0.0009839789,0.00022126929],"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":[0.0002948569,0.00025346823,0.00037921412,0.00009159975,0.000012338083,0.00004572108,0.00006366162,0.00020440607,0.99738127,0.000018134268,0.000024101912,0.0012310693],"study_design_scores_gemma":[0.000033716282,0.004938163,0.0030727407,0.00000958006,0.00006035172,0.000038811642,0.00006642261,0.0011149663,0.9902777,0.000010651513,0.0003656393,0.0000112017215],"about_ca_topic_score_codex":0.001465304,"about_ca_topic_score_gemma":0.0016589857,"teacher_disagreement_score":0.001465304,"about_ca_system_score_codex":0.00038552922,"about_ca_system_score_gemma":0.00032316125,"threshold_uncertainty_score":0.0055043697},"labels":[],"label_agreement":null},{"id":"W1997704122","doi":"10.1109/tbme.2007.892930","title":"Comparison of Applied and Induced Current Electrical Impedance Tomography","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Electrical impedance tomography; Electromagnetic coil; Electrical impedance; Iterative reconstruction; Tomography; Voltage; Physics; Image resolution; Current source; Acoustics; Electronic engineering; Optics; Electrical engineering; Computer science; Engineering; Artificial intelligence","score_opus":0.011374067614486926,"score_gpt":0.25575587463180993,"score_spread":0.244381807017323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997704122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63385046,0.0023309146,0.3550596,0.00031474838,0.0001011522,0.00011001225,0.00030629625,0.00084885146,0.0070779733],"genre_scores_gemma":[0.92703784,0.00097177876,0.06948555,0.0001376477,0.000034027038,0.000064556276,0.0002998902,0.00013665119,0.0018318946],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990839,0.00022133742,0.00005977168,0.00013124218,0.0004227279,0.00008101937],"domain_scores_gemma":[0.9985203,0.00078371866,0.00010538149,0.00013471238,0.0003959806,0.000059854923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007769724,0.00027711716,0.00031641638,0.0007927,0.00011570941,0.00085503666,0.00057770754,0.00066226843,0.0010798445],"category_scores_gemma":[0.0051121237,0.00020295929,0.00016648999,0.0007363959,0.0006821053,0.0010638807,0.0004940665,0.00044397538,0.000190926],"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":[0.001200239,0.00009451052,0.009904912,0.0005141534,0.0001031189,0.00042305328,0.00038769696,0.009985586,0.85093766,0.0032690975,0.00051728386,0.122662656],"study_design_scores_gemma":[0.000090638,0.0006263692,0.036591776,0.000060418708,0.00014668918,0.0021864423,0.0002687055,0.077823736,0.87361467,0.002071242,0.0064184596,0.00010089197],"about_ca_topic_score_codex":0.0005461651,"about_ca_topic_score_gemma":0.00062002445,"teacher_disagreement_score":0.0010798445,"about_ca_system_score_codex":0.00034321655,"about_ca_system_score_gemma":0.0002760484,"threshold_uncertainty_score":0.0041090846},"labels":[],"label_agreement":null},{"id":"W1997977654","doi":"10.1088/0266-5611/27/2/025008","title":"Source localization in electromyography using the inverse potential problem","year":2011,"lang":"en","type":"article","venue":"Inverse Problems","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":31,"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":"Inverse problem; Regularization (linguistics); A priori and a posteriori; Mathematics; Finite element method; Inverse; Scale (ratio); Mathematical optimization; Algorithm; Applied mathematics; Computer science; Mathematical analysis; Artificial intelligence; Geometry","score_opus":0.017315285448020374,"score_gpt":0.18816235953991464,"score_spread":0.17084707409189426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997977654","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013800515,0.0005366262,0.99685293,0.00012270201,0.000035924466,0.0000150172355,0.0000124929575,0.000057494577,0.0009868536],"genre_scores_gemma":[0.07019229,0.002364429,0.9230765,0.00012167712,0.00026491776,0.00018232309,0.00008460484,0.000078741046,0.0036345553],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965286,0.00015604982,0.000015715881,0.00004893888,0.00011367167,0.000012681371],"domain_scores_gemma":[0.9996458,0.00025652867,0.000027335202,0.000029246372,0.000032496075,0.000008552905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006277837,0.0006536894,0.00058828853,0.00042325124,0.000270088,0.0007229311,0.0007087829,0.0016251365,0.0016332181],"category_scores_gemma":[0.0018305411,0.00037077433,0.0007139688,0.0005973111,0.001151817,0.0015407145,0.0008699964,0.0010019562,0.00070581376],"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":[0.000078104706,0.000050847262,0.00042239798,0.0007788205,0.000069060996,0.0006061903,0.00028136538,0.50326633,0.037516635,0.22733496,0.0037190116,0.22587623],"study_design_scores_gemma":[0.00002656413,0.0000659275,0.00026648236,0.000047281315,0.000015560276,0.00040407447,0.000030383864,0.8844914,0.003968987,0.097135805,0.013516678,0.000030891228],"about_ca_topic_score_codex":0.0006076637,"about_ca_topic_score_gemma":0.0005009422,"teacher_disagreement_score":0.0016332181,"about_ca_system_score_codex":0.00019266973,"about_ca_system_score_gemma":0.000359991,"threshold_uncertainty_score":0.0054636598},"labels":[],"label_agreement":null},{"id":"W1999633682","doi":"10.5617/jeb.781","title":"Electrical characterization of bolus material as phantom for use in electrical impedance and computed tomography fusion imaging","year":2014,"lang":"en","type":"article","venue":"Journal of Electrical Bioimpedance","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thames Valley Children's Centre; Simon Fraser University","funders":"Simon Fraser University","keywords":"Electrical impedance tomography; Imaging phantom; Materials science; Biomedical engineering; Bolus (digestion); Tomography; Electrical resistivity tomography; Medical imaging; Attenuation coefficient; Electrical resistivity and conductivity; Nuclear medicine; Medicine; Radiology; Optics; Physics; Anatomy","score_opus":0.005248416061079248,"score_gpt":0.21031765386047457,"score_spread":0.20506923779939532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999633682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.850671,0.0019259817,0.1436334,0.00025716075,0.00011339373,0.00035761812,0.00041570133,0.0003599654,0.0022657248],"genre_scores_gemma":[0.89672554,0.0014752481,0.09773027,0.000102202306,0.00002063257,0.00033386124,0.0005005214,0.000112484646,0.0029992599],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977964,0.000078764715,0.000022071717,0.00003615309,0.00006948709,0.000013937886],"domain_scores_gemma":[0.9990977,0.0004102942,0.00019014657,0.00009233455,0.00017171203,0.00003773891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084502436,0.0003143888,0.00020152729,0.00043598056,0.00011230337,0.0004037197,0.0002281229,0.0003920685,0.0009927138],"category_scores_gemma":[0.0018727508,0.00016641775,0.0001335739,0.00029595825,0.00025055915,0.00030690685,0.00015138424,0.00021967191,0.00024569675],"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":[0.00006976936,0.000024751185,0.0003574681,0.000049109156,0.0000026960727,0.000076859615,0.000046957808,0.00028850284,0.9961184,0.00013270111,0.00004223848,0.0027905125],"study_design_scores_gemma":[0.000015453523,0.00089921476,0.0030424455,0.000022632821,0.000020815722,0.00040198097,0.000071339244,0.0028170575,0.989061,0.00008216102,0.0035526413,0.000013182183],"about_ca_topic_score_codex":0.00011296713,"about_ca_topic_score_gemma":0.00018459227,"teacher_disagreement_score":0.0009927138,"about_ca_system_score_codex":0.00014375153,"about_ca_system_score_gemma":0.00017670268,"threshold_uncertainty_score":0.0044689775},"labels":[],"label_agreement":null},{"id":"W2001063297","doi":"10.1109/memea.2008.4543003","title":"Detection of unreliable measurements in multi-sensor devices","year":2008,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University; University of Ottawa","funders":"","keywords":"Electrical impedance tomography; Computer science; Temperature measurement; Electrical impedance; Electro-optical sensor; Artificial intelligence; Computer vision; Electronic engineering; Engineering; Electrical engineering; Physics","score_opus":0.04735840970327542,"score_gpt":0.22910784331451892,"score_spread":0.1817494336112435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001063297","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19800726,0.00062432635,0.7996852,0.0001277218,0.00012433696,0.000045833753,0.000072417,0.0008162864,0.0004966575],"genre_scores_gemma":[0.88676906,0.00018168786,0.112378545,0.00007341672,0.00006855098,0.00004183039,0.00010604128,0.000075962074,0.00030499068],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99357456,0.0016859405,0.0005684566,0.0011313781,0.0028108256,0.00022887599],"domain_scores_gemma":[0.983707,0.007884386,0.0028050407,0.0031361098,0.0021958784,0.000271577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027456146,0.00096619077,0.0012489561,0.0016912346,0.00045601325,0.0009271747,0.0011771718,0.0013495577,0.00038875814],"category_scores_gemma":[0.023199636,0.00053274626,0.0003644217,0.001373142,0.00081173715,0.0016253609,0.0015271105,0.0008618815,0.00025831655],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027453762,0.00032312112,0.08456847,0.0009698174,0.00055903266,0.003458045,0.0015231833,0.12072825,0.23322804,0.0054568388,0.0013878188,0.54505205],"study_design_scores_gemma":[0.000055563556,0.0006691665,0.03582149,0.00009054396,0.00014918012,0.0030980771,0.0002647641,0.7945099,0.15329675,0.008623985,0.003307354,0.000113286536],"about_ca_topic_score_codex":0.000421462,"about_ca_topic_score_gemma":0.00039023277,"teacher_disagreement_score":0.0027456146,"about_ca_system_score_codex":0.00038220207,"about_ca_system_score_gemma":0.00030129496,"threshold_uncertainty_score":0.014520347},"labels":[],"label_agreement":null},{"id":"W2001654487","doi":"10.1016/j.cej.2008.07.022","title":"Phase holdup measurement in a gas–liquid–solid circulating fluidized bed (GLSCFB) riser using electrical resistance tomography and optical fibre probe","year":2008,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Institute of Engineering Research, Seoul National University","keywords":"Phase (matter); Materials science; Three-phase; Fluidized bed combustion; Electrical resistance and conductance; Tomography; Electrical resistivity and conductivity; Conductivity; Electrode; Composite material; Analytical Chemistry (journal); Fluidized bed; Mechanics; Optics; Chromatography; Chemistry; Voltage; Electrical engineering","score_opus":0.017166723696817567,"score_gpt":0.22085502354715084,"score_spread":0.20368829985033327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001654487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9777489,0.00027801,0.020882865,0.000111093286,0.000037363145,0.000014240296,0.0000552711,0.00039801834,0.00047428854],"genre_scores_gemma":[0.9934321,0.00005762866,0.0058362326,0.000024898856,0.0000077972045,0.000006456458,0.000030166862,0.0000204458,0.00058426114],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999637,0.000061586885,0.000015821859,0.00009777671,0.00013578254,0.000052050742],"domain_scores_gemma":[0.9993789,0.00031644484,0.00007314972,0.00004773645,0.00013500705,0.00004875016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005179946,0.00035584072,0.0004996041,0.00031706897,0.0005409237,0.00052146974,0.0008471447,0.0005755553,0.00087976555],"category_scores_gemma":[0.0008201587,0.000250213,0.0002194362,0.00022487732,0.00058747974,0.0008813525,0.00031911719,0.0005195418,0.00022503709],"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":[0.0004497347,0.00004129645,0.00085149455,0.00002678732,0.00000418778,0.00008407429,0.00009360175,0.0007218319,0.99167144,0.00013580338,0.000059333142,0.0058604158],"study_design_scores_gemma":[0.000018825993,0.00033858974,0.0021482354,0.0000023722478,0.000010094247,0.000062311236,0.00004326447,0.017073156,0.9798851,0.000045205117,0.00036092824,0.000011983831],"about_ca_topic_score_codex":0.0016646635,"about_ca_topic_score_gemma":0.0014431422,"teacher_disagreement_score":0.0016646635,"about_ca_system_score_codex":0.00060532696,"about_ca_system_score_gemma":0.00043344471,"threshold_uncertainty_score":0.0043919683},"labels":[],"label_agreement":null},{"id":"W2001966962","doi":"10.1118/1.4888002","title":"SU‐E‐I‐52: Validation of Multi‐Frequency Electrical Impedance Tomography Using Computed Tomography","year":2014,"lang":"en","type":"article","venue":"Medical Physics","topic":"Electrical and Bioimpedance Tomography","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":"BC Cancer Agency","funders":"","keywords":"Electrical impedance tomography; Iterative reconstruction; Tomography; Imaging phantom; Scanner; Artificial intelligence; Physics; Computer vision; Computer science; Optics","score_opus":0.012148822979891515,"score_gpt":0.2343127342684223,"score_spread":0.2221639112885308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001966962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95241237,0.00084445253,0.04462645,0.000068460795,0.00003675176,0.00007680821,0.00030769937,0.00033213344,0.0012948025],"genre_scores_gemma":[0.975162,0.00027100102,0.022790985,0.00006547801,0.000007332514,0.000070732196,0.0006535399,0.00006327919,0.0009156902],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99945515,0.00013081277,0.000042645726,0.00014057927,0.00018439679,0.000046421916],"domain_scores_gemma":[0.99927634,0.00017449637,0.00014057045,0.00015845904,0.00020222522,0.000047935824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011249743,0.00044599935,0.00022296736,0.0005747547,0.00016428897,0.00048524135,0.0005089755,0.0007471431,0.0012053945],"category_scores_gemma":[0.0020242878,0.0001874795,0.00022518971,0.00030657172,0.00046509737,0.0003661858,0.00035919965,0.000299419,0.00044301848],"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":[0.00044614982,0.00008341665,0.010648152,0.00008556013,0.000033513148,0.00023829138,0.000061891165,0.0007589597,0.9780739,0.00010987008,0.00009097975,0.00936944],"study_design_scores_gemma":[0.000049761347,0.0015440611,0.067227,0.000030058523,0.00013582328,0.0025946402,0.00013498032,0.021629192,0.9042883,0.0001173046,0.0022164825,0.000032337186],"about_ca_topic_score_codex":0.0008742627,"about_ca_topic_score_gemma":0.0011059716,"teacher_disagreement_score":0.0012053945,"about_ca_system_score_codex":0.00017649993,"about_ca_system_score_gemma":0.00015963329,"threshold_uncertainty_score":0.005949497},"labels":[],"label_agreement":null},{"id":"W2003409853","doi":"10.1007/s10470-011-9751-1","title":"Extracting single dispersion Cole–Cole impedance model parameters using an integrator setup","year":2011,"lang":"en","type":"article","venue":"Analog Integrated Circuits and Signal Processing","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":52,"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 Calgary","funders":"","keywords":"Integrator; Electrical impedance; Dispersion (optics); Range (aeronautics); Focused Impedance Measurement; Mathematics; Physics; Acoustics; Materials science; Computer science; Optics; Engineering; Telecommunications; Electrical engineering","score_opus":0.05243033517470068,"score_gpt":0.23150006310869503,"score_spread":0.17906972793399434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003409853","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.105739616,0.00036307122,0.8841702,0.00016423421,0.00007503137,0.00011910864,0.00044970386,0.0043157362,0.0046032304],"genre_scores_gemma":[0.5094382,0.0004831483,0.48003593,0.00014060645,0.00003310933,0.00019554887,0.0008072783,0.0006728673,0.008193224],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99953973,0.000043451797,0.000022487977,0.00014592339,0.00020397315,0.000044378587],"domain_scores_gemma":[0.99953365,0.00014641389,0.000048211085,0.00012426364,0.00012299174,0.000024430348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051893474,0.0010614262,0.000672127,0.0012739932,0.000691273,0.00095369306,0.001055556,0.0014197477,0.0046634227],"category_scores_gemma":[0.0016375218,0.0006111839,0.0004498758,0.0012040525,0.000311852,0.0017320547,0.00067434704,0.0010495356,0.0020060157],"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":[0.00019949056,0.00014800215,0.0020968681,0.00023373798,0.00007168201,0.0002065193,0.00047470455,0.004698437,0.8423088,0.006201662,0.0015114038,0.1418486],"study_design_scores_gemma":[0.000043024604,0.00020506757,0.00489033,0.000044347915,0.00012195904,0.0007717529,0.00014540704,0.12893543,0.84444904,0.003731703,0.016580088,0.00008183711],"about_ca_topic_score_codex":0.0010809437,"about_ca_topic_score_gemma":0.0032016293,"teacher_disagreement_score":0.0046634227,"about_ca_system_score_codex":0.0009802791,"about_ca_system_score_gemma":0.0008672386,"threshold_uncertainty_score":0.015600741},"labels":[],"label_agreement":null},{"id":"W2004249619","doi":"10.1109/ccece.2014.6900984","title":"A hybrid device for electrical impedance tomography and bioelectrical impedance spectroscopy measurement","year":2014,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Calibration; Electrical impedance; Acoustics; Noise (video); Electrical impedance tomography; Electronic engineering; Electrical engineering; Computer science; Engineering; Physics","score_opus":0.009792399307784123,"score_gpt":0.21141470880245922,"score_spread":0.2016223094946751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004249619","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046537858,0.002045888,0.9452696,0.00040554075,0.00050270866,0.0002335253,0.00035969084,0.0018407399,0.0028045133],"genre_scores_gemma":[0.3785833,0.0009573481,0.61016953,0.0010046595,0.00031381735,0.0005958899,0.00052757846,0.00010446182,0.007743409],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980934,0.00027909953,0.00014079815,0.00056392053,0.0008316425,0.000091082016],"domain_scores_gemma":[0.999373,0.00018669745,0.000084853855,0.000117780386,0.00019238135,0.000045252324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009228398,0.0007454463,0.0008121929,0.0011446095,0.00024498845,0.0008456309,0.002019502,0.002021019,0.0023844445],"category_scores_gemma":[0.0010907977,0.00062288647,0.0005685428,0.0009724123,0.00045478452,0.0017623814,0.0014483408,0.00065816817,0.0012557225],"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":[0.00034715395,0.000118816795,0.0026482022,0.0006440565,0.00011423274,0.000451885,0.00012408174,0.0010767253,0.8612912,0.004645125,0.0027094581,0.12582895],"study_design_scores_gemma":[0.00018331764,0.0021889005,0.010424267,0.00015259959,0.00032261614,0.0071894005,0.00011256924,0.07495833,0.83498955,0.0021142645,0.06702786,0.00033628996],"about_ca_topic_score_codex":0.00013570959,"about_ca_topic_score_gemma":0.000234485,"teacher_disagreement_score":0.0023844445,"about_ca_system_score_codex":0.00033989848,"about_ca_system_score_gemma":0.00021212873,"threshold_uncertainty_score":0.00797677},"labels":[],"label_agreement":null},{"id":"W2004474435","doi":"10.1007/s11517-014-1175-5","title":"Extracting the parameters of the double-dispersion Cole bioimpedance model from magnitude response measurements","year":2014,"lang":"en","type":"article","venue":"Medical & Biological Engineering & Computing","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Alberta Innovates","keywords":"Electrical impedance; Magnitude (astronomy); Dispersion (optics); Noise (video); Nonlinear regression; White noise; Nonlinear system; Mathematics; Computer science; Statistics; Physics; Regression analysis; Artificial intelligence; Optics","score_opus":0.02930096658508496,"score_gpt":0.22724918209327752,"score_spread":0.19794821550819255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004474435","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06801258,0.00022739032,0.92720425,0.000108268476,0.000031140844,0.00006840648,0.00034986157,0.0016981268,0.0023000173],"genre_scores_gemma":[0.83219045,0.0005758488,0.16229023,0.000083414336,0.000016607608,0.00013896232,0.00097381877,0.0003922557,0.003338448],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998086,0.00002780175,0.000010396337,0.000049093065,0.000084036044,0.000020067195],"domain_scores_gemma":[0.99958736,0.00016517051,0.000058895886,0.00008812993,0.00008484033,0.000015627078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031635366,0.0008485282,0.0004743209,0.0009122078,0.00021842694,0.0009688386,0.0006996135,0.001174425,0.0012714281],"category_scores_gemma":[0.002093193,0.00043470445,0.000459471,0.00068187324,0.000234348,0.0010841902,0.0003145705,0.00092150376,0.001991861],"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":[0.00036150648,0.0002508759,0.008699093,0.00051689916,0.000113117174,0.0005065605,0.00031432364,0.18670885,0.43145755,0.0047142482,0.002637448,0.3637195],"study_design_scores_gemma":[0.000018664621,0.00011254392,0.013808438,0.000069531714,0.00006499111,0.0007334238,0.00009134029,0.90776026,0.07015908,0.00346989,0.0036217128,0.00009011649],"about_ca_topic_score_codex":0.0015089702,"about_ca_topic_score_gemma":0.0018814488,"teacher_disagreement_score":0.0015089702,"about_ca_system_score_codex":0.000347499,"about_ca_system_score_gemma":0.0005214782,"threshold_uncertainty_score":0.004253328},"labels":[],"label_agreement":null},{"id":"W2005985250","doi":"10.1088/1742-6596/224/1/012036","title":"The possibility of detecting magnetic moment generated by ultrasound in polarized tissues","year":2010,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Electrical and Bioimpedance Tomography","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":"Toronto Metropolitan University","funders":"","keywords":"Electromagnetic coil; Magnetic moment; Moment (physics); Nuclear magnetic resonance; Permittivity; Physics; SIGNAL (programming language); Magnetic field; Voltage; Ultrasound; Acoustics; Materials science; Optics; Condensed matter physics; Computer science; Optoelectronics; Dielectric; Classical mechanics","score_opus":0.006532480529350206,"score_gpt":0.20895216638886477,"score_spread":0.20241968585951456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005985250","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11200159,0.0024844843,0.88045,0.0005592667,0.00017120263,0.000039618728,0.00003784071,0.00035892526,0.0038969982],"genre_scores_gemma":[0.64466685,0.0016665678,0.34956354,0.00034089474,0.00031753493,0.0000538819,0.00005058768,0.000054868124,0.0032852096],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981195,0.000050334427,0.0000052841433,0.000033251195,0.00008153287,0.00001772944],"domain_scores_gemma":[0.99959654,0.00022787262,0.000049088503,0.000029849989,0.00006957853,0.000027096012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002822665,0.0003437947,0.0002921968,0.0005917337,0.00017506587,0.00044212572,0.00048320513,0.000771384,0.0006648911],"category_scores_gemma":[0.0008509009,0.00026400515,0.00024044998,0.00024561057,0.00068136555,0.00072828983,0.00040616127,0.00046883212,0.00031028554],"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":[0.00016365328,0.000049223647,0.0010532823,0.00009811928,0.000025724616,0.00044604545,0.000086191365,0.002908697,0.9172908,0.009819169,0.00030251185,0.067756526],"study_design_scores_gemma":[0.000052713982,0.0009994872,0.00239874,0.000051480976,0.000137847,0.0043457407,0.000099745106,0.07722746,0.8929881,0.010392851,0.011184956,0.00012087703],"about_ca_topic_score_codex":0.00008855632,"about_ca_topic_score_gemma":0.0001555804,"teacher_disagreement_score":0.000771384,"about_ca_system_score_codex":0.000121870435,"about_ca_system_score_gemma":0.00014559577,"threshold_uncertainty_score":0.0022242665},"labels":[],"label_agreement":null},{"id":"W2006072057","doi":"10.1088/1742-6596/224/1/012021","title":"Correcting for variability in mesh geometry in finite element models","year":2010,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Engineering and Physical Sciences Research Council","keywords":"Finite element method; Isotropy; Geometry; Anisotropy; Vertex (graph theory); Polygon mesh; Projection (relational algebra); Inverse; Matrix (chemical analysis); Mathematics; Mathematical analysis; Physics; Algorithm; Optics; Materials science; Discrete mathematics","score_opus":0.01619805221371721,"score_gpt":0.22920801701415444,"score_spread":0.21300996480043724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006072057","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023443561,0.00009210115,0.9754735,0.000099005076,0.00003318982,0.000021919188,0.00003428985,0.00036563736,0.000436838],"genre_scores_gemma":[0.5982662,0.00018590302,0.39957604,0.00010262752,0.00003805833,0.00009290574,0.00018513112,0.0004736973,0.001079416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99811673,0.0007666028,0.00013351181,0.0001955828,0.0007169982,0.00007058946],"domain_scores_gemma":[0.98979235,0.006733517,0.0010554228,0.0016863036,0.00065070856,0.000081680715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004252959,0.0008283301,0.00064168725,0.00070651504,0.00047990802,0.00132188,0.0012051349,0.0017202679,0.0007860857],"category_scores_gemma":[0.022186369,0.0006913916,0.0007656311,0.0007139971,0.0009898578,0.0011040154,0.0012467306,0.0013752275,0.00035914316],"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":[0.00004483671,0.00001905731,0.002029691,0.00005351686,0.00003752999,0.00014910022,0.00012999718,0.9634167,0.010571731,0.0039827554,0.00026709784,0.019297943],"study_design_scores_gemma":[0.0000047769026,0.000021005188,0.0004401621,0.000011499142,0.000009222459,0.000118099386,0.000012052421,0.98933744,0.0070197154,0.0023162486,0.00069639913,0.000013356499],"about_ca_topic_score_codex":0.0019445589,"about_ca_topic_score_gemma":0.0017640901,"teacher_disagreement_score":0.004252959,"about_ca_system_score_codex":0.0006676459,"about_ca_system_score_gemma":0.0006352754,"threshold_uncertainty_score":0.022492051},"labels":[],"label_agreement":null},{"id":"W2006704204","doi":"10.1088/1742-6596/434/1/012083","title":"A Level Set based Regularization Framework for EIT Image Reconstruction","year":2013,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Regularization (linguistics); Outlier; Inverse problem; Algorithm; Norm (philosophy); Mathematics; Quadratic equation; Iterative reconstruction; Mathematical optimization; Robustness (evolution); Regularization perspectives on support vector machines; Computer science; Tikhonov regularization; Electrical impedance; Artificial intelligence; Mathematical analysis; Physics; Geometry","score_opus":0.025786340689337633,"score_gpt":0.2307046657623221,"score_spread":0.20491832507298446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006704204","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00061501656,0.00007855603,0.99882,0.00007787634,0.000008941616,0.000008034598,0.000015004696,0.000049762777,0.00032686043],"genre_scores_gemma":[0.06957156,0.00078326854,0.92502606,0.00016959188,0.00008979537,0.0002305607,0.00029516092,0.00021747492,0.0036164806],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993284,0.00022614645,0.000033093296,0.000081280145,0.000298754,0.000032327614],"domain_scores_gemma":[0.9994407,0.00023779408,0.00006021098,0.000048416885,0.00017344012,0.00003940881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001239718,0.0007745871,0.0008858323,0.0009691359,0.00037784642,0.0012360064,0.0015054869,0.0015326133,0.0015373228],"category_scores_gemma":[0.0024152372,0.0005283371,0.0012662833,0.00085342786,0.0008982863,0.0010683088,0.0013063462,0.002132361,0.00068939506],"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":[0.00006705502,0.00006826927,0.0004395142,0.00030711552,0.00009337731,0.00020513475,0.00015875215,0.7028481,0.026789617,0.14990845,0.0039526867,0.115161955],"study_design_scores_gemma":[0.0000033760962,0.000015212462,0.000045474273,0.000008425423,0.000004935976,0.000045038487,0.0000049198607,0.9884672,0.0014188611,0.0080277,0.0019483624,0.000010568614],"about_ca_topic_score_codex":0.0016983869,"about_ca_topic_score_gemma":0.001259546,"teacher_disagreement_score":0.0016983869,"about_ca_system_score_codex":0.0007723862,"about_ca_system_score_gemma":0.0012397652,"threshold_uncertainty_score":0.006556332},"labels":[],"label_agreement":null},{"id":"W2007163863","doi":"10.1118/1.4873326","title":"Feature-space assessment of electrical impedance tomography coregistered with computed tomography in detecting multiple contrast targets","year":2014,"lang":"en","type":"article","venue":"Medical Physics","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency","funders":"BC Cancer Agency","keywords":"Imaging phantom; Electrical impedance tomography; Tomography; Iterative reconstruction; Medical imaging; Artificial intelligence; Computer science; Biomedical engineering; Computer vision; Materials science; Nuclear medicine; Optics; Physics; Medicine","score_opus":0.005680685152699115,"score_gpt":0.21756684086262426,"score_spread":0.21188615570992514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007163863","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28734377,0.0005924235,0.7100576,0.00009126974,0.000017869554,0.0000803934,0.000090690504,0.00092080946,0.000805172],"genre_scores_gemma":[0.75246745,0.00028954822,0.24649218,0.000037036378,0.000013495255,0.00006832801,0.00019308353,0.00010628799,0.0003326691],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99942976,0.00017801828,0.00003614892,0.00009785168,0.00021868285,0.00003959262],"domain_scores_gemma":[0.9984957,0.000562752,0.00024666122,0.0001431017,0.00048820808,0.0000636093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015365887,0.0006036251,0.00033193524,0.0019138666,0.00016521788,0.00080539566,0.0003840253,0.0005429959,0.00062023016],"category_scores_gemma":[0.0056766467,0.00023443068,0.00047280735,0.0008336135,0.00035273458,0.00089599885,0.0009212756,0.00031278247,0.00029909777],"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":[0.0018926419,0.00021915158,0.02685914,0.0004265051,0.00025961807,0.0005525982,0.00044789776,0.04883214,0.37536567,0.002512232,0.00082614983,0.5418063],"study_design_scores_gemma":[0.000054541288,0.00080415886,0.05466429,0.00006132996,0.0002786394,0.003409993,0.00017452463,0.6603653,0.2742604,0.002773159,0.0030694667,0.00008411417],"about_ca_topic_score_codex":0.00072615425,"about_ca_topic_score_gemma":0.00070986827,"teacher_disagreement_score":0.0019138666,"about_ca_system_score_codex":0.0003035638,"about_ca_system_score_gemma":0.00046448945,"threshold_uncertainty_score":0.008126378},"labels":[],"label_agreement":null},{"id":"W2007755353","doi":"10.1007/s11517-008-0371-6","title":"EIT image reconstruction with four dimensional regularization","year":2008,"lang":"en","type":"article","venue":"Medical & Biological Engineering & Computing","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance tomography; Iterative reconstruction; Regularization (linguistics); A priori and a posteriori; Image resolution; Artificial intelligence; Temporal resolution; Computer vision; Computer science; Reconstruction algorithm; Tomography; Algorithm; Mathematics; Physics; Optics","score_opus":0.009098572449885278,"score_gpt":0.17534740707848676,"score_spread":0.1662488346286015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007755353","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012039746,0.00013764044,0.9830352,0.00025629686,0.000048117177,0.000029494735,0.00017826592,0.00073443906,0.0035407795],"genre_scores_gemma":[0.11991508,0.00028117048,0.86916447,0.00021689077,0.000037847763,0.00007577574,0.0005951871,0.0005225809,0.009190992],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982256,0.000043033495,0.0000139871945,0.000022532364,0.00007994323,0.000018017916],"domain_scores_gemma":[0.99966216,0.0000854779,0.000042583146,0.000107535554,0.000073259405,0.000029010256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005202425,0.0006289677,0.00052177976,0.00059408625,0.00024098385,0.0012210936,0.0007911439,0.0012576291,0.0050632907],"category_scores_gemma":[0.0015301228,0.00046368342,0.0006530107,0.0008120455,0.00040191624,0.00071038667,0.0009095363,0.0014315029,0.0018299165],"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":[0.0007696337,0.0002029659,0.002415235,0.00045856644,0.00020154471,0.001003905,0.00027740005,0.40843886,0.21129458,0.078433506,0.010711938,0.2857918],"study_design_scores_gemma":[0.000038711518,0.000039011673,0.0006609144,0.000025185931,0.000032865817,0.0007238777,0.000035807763,0.93078506,0.049718115,0.009026822,0.008874524,0.000039059138],"about_ca_topic_score_codex":0.0012235997,"about_ca_topic_score_gemma":0.0011748782,"teacher_disagreement_score":0.0050632907,"about_ca_system_score_codex":0.00023735857,"about_ca_system_score_gemma":0.0007837849,"threshold_uncertainty_score":0.016938388},"labels":[],"label_agreement":null},{"id":"W2007903753","doi":"10.1088/0967-3334/34/6/579","title":"Uniform background assumption produces misleading lung EIT images","year":2013,"lang":"ar","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Linearization; Ventilation (architecture); Conductivity; Position (finance); Tomography; Physics; Medicine; Radiology; Nonlinear system","score_opus":0.060911127085980364,"score_gpt":0.24557087230950267,"score_spread":0.1846597452235223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007903753","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43197688,0.0009977263,0.5620503,0.0007288892,0.00007716215,0.00008414118,0.00023306956,0.002001542,0.0018502368],"genre_scores_gemma":[0.9221711,0.0005140014,0.07458056,0.00048467,0.000034166595,0.000035358295,0.00041130837,0.00049865426,0.0012700988],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941754,0.00016801733,0.000043779724,0.00010740112,0.0001948656,0.00006847553],"domain_scores_gemma":[0.997517,0.0016079051,0.0002463015,0.0003073037,0.0002402032,0.00008131826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013139178,0.00040379897,0.0005620948,0.00067904906,0.00023528407,0.0009075912,0.0004207312,0.0010070412,0.0010296263],"category_scores_gemma":[0.006225893,0.00035050258,0.0004291146,0.00036907714,0.0006840211,0.0006529736,0.00055197545,0.0007208772,0.00062240014],"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":[0.0030406977,0.00014396549,0.029918598,0.0007557365,0.00027336372,0.008681762,0.0011676679,0.14968176,0.61987096,0.005154098,0.0026434532,0.17866796],"study_design_scores_gemma":[0.000120996556,0.0007094962,0.07484721,0.00017549377,0.00030754297,0.021943063,0.00058046007,0.49672005,0.3897077,0.008904989,0.0058295066,0.00015345542],"about_ca_topic_score_codex":0.00095283525,"about_ca_topic_score_gemma":0.0007924749,"teacher_disagreement_score":0.0013139178,"about_ca_system_score_codex":0.00034979172,"about_ca_system_score_gemma":0.0002689712,"threshold_uncertainty_score":0.006948769},"labels":[],"label_agreement":null},{"id":"W2008213557","doi":"10.1088/0031-9155/60/9/3747","title":"Acousto-electrical speckle pattern in Lorentz force electrical impedance tomography","year":2015,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":44,"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 de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance tomography; Lorentz force; Speckle pattern; Ultrasound; Tomography; Electrical impedance; Lorentz transformation; SIGNAL (programming language)","score_opus":0.08683257721529294,"score_gpt":0.319853712985467,"score_spread":0.23302113577017405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008213557","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44913793,0.001456722,0.54057664,0.00036129268,0.00011102536,0.00007862222,0.00011248503,0.00022697476,0.00793825],"genre_scores_gemma":[0.9094957,0.00075978553,0.08753875,0.00015921734,0.00005560234,0.00006637957,0.00010749004,0.000047987323,0.001769122],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999448,0.000114454015,0.00002949486,0.00010198815,0.00027681698,0.000029192046],"domain_scores_gemma":[0.99879503,0.0007004673,0.00020467862,0.00009316186,0.00016616436,0.000040419472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067985617,0.00016999296,0.00021894716,0.00048760913,0.00012411489,0.0005170881,0.00023543867,0.00052828825,0.0006259665],"category_scores_gemma":[0.0023954362,0.00019297216,0.00014262267,0.00048458664,0.0010760081,0.0005426793,0.00045919736,0.00039515572,0.00013522209],"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":[0.00033432152,0.000077884535,0.010478151,0.00032467555,0.000026893133,0.0013128622,0.0005698885,0.009089331,0.898505,0.024749689,0.00054939033,0.053981945],"study_design_scores_gemma":[0.000100694306,0.0005392958,0.058757246,0.000100479905,0.000071108705,0.007309118,0.00044032038,0.21528398,0.68242764,0.024631731,0.010210255,0.00012812819],"about_ca_topic_score_codex":0.0002846148,"about_ca_topic_score_gemma":0.00026567344,"teacher_disagreement_score":0.00067985617,"about_ca_system_score_codex":0.00020794674,"about_ca_system_score_gemma":0.00015762838,"threshold_uncertainty_score":0.0035954118},"labels":[],"label_agreement":null},{"id":"W2009193375","doi":"10.1088/0967-3334/34/6/645","title":"Reducing computational costs in large scale 3D EIT by using a sparse Jacobian matrix with block-wise CGLS reconstruction","year":2013,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Jacobian matrix and determinant; Algorithm; Sparse matrix; Electrical impedance tomography; Conjugate gradient method; Iterative reconstruction; Matrix (chemical analysis); Computer science; Mathematics; Mathematical optimization; Artificial intelligence; Tomography","score_opus":0.024362654955019304,"score_gpt":0.2231230256165663,"score_spread":0.198760370661547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009193375","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008072982,0.00004022735,0.9908002,0.000083238214,0.000008698413,0.000023528424,0.000019066169,0.00044106855,0.00051098457],"genre_scores_gemma":[0.08560786,0.00012793283,0.913028,0.000043163436,0.0000139059875,0.00008077616,0.00009031983,0.00015668501,0.0008513054],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997917,0.000049523485,0.0000127318735,0.00002053689,0.000114280316,0.000011197351],"domain_scores_gemma":[0.99943775,0.0002927889,0.000058041605,0.000078589626,0.000111608715,0.00002116987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045921397,0.0005279173,0.0004073366,0.0005024363,0.00027797106,0.00062417844,0.000537595,0.00052497326,0.001872945],"category_scores_gemma":[0.0018359045,0.0003702466,0.0003973934,0.0004991978,0.00036513165,0.00072908774,0.0007480875,0.00054779847,0.0005977346],"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":[0.00022548108,0.00010236593,0.0017470018,0.0002534515,0.00005147989,0.0004138765,0.00028654994,0.50798786,0.12213681,0.013419293,0.002727082,0.35064885],"study_design_scores_gemma":[0.000018038692,0.000043445834,0.00032755831,0.000006564434,0.000009305806,0.000121804565,0.000024949844,0.9786695,0.016665518,0.0022349844,0.0018658836,0.000012444105],"about_ca_topic_score_codex":0.002875205,"about_ca_topic_score_gemma":0.003936198,"teacher_disagreement_score":0.002875205,"about_ca_system_score_codex":0.0002936636,"about_ca_system_score_gemma":0.00085768447,"threshold_uncertainty_score":0.0062656403},"labels":[],"label_agreement":null},{"id":"W2011310241","doi":"10.1115/imece2005-81430","title":"Solution of Abel’s Integral Equation Using Tikhonov Regularization","year":2005,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"National Research Council Canada","funders":"University of Texas at Austin","keywords":"Tikhonov regularization; Deconvolution; Regularization (linguistics); Mathematics; Integral equation; Inverse problem; Mathematical analysis; Algorithm; Applied mathematics; Blind deconvolution; Computer science; Artificial intelligence","score_opus":0.017875197113004112,"score_gpt":0.21427013473098305,"score_spread":0.19639493761797894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011310241","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0059614945,0.00011725604,0.9910148,0.000099416866,0.000032680942,0.000016835545,0.000017086419,0.00011060786,0.0026297492],"genre_scores_gemma":[0.15808035,0.00049840374,0.8339083,0.00009907136,0.00005969628,0.00009435117,0.000110508816,0.00015563372,0.006993587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996861,0.00006766749,0.000016478758,0.00003557664,0.00017116488,0.000023064347],"domain_scores_gemma":[0.99967265,0.00017314748,0.000032326727,0.00004181371,0.00006400112,0.00001613348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006843879,0.00052124466,0.0007334173,0.00051328284,0.00041999767,0.0006668882,0.0007178868,0.0010197287,0.0011376604],"category_scores_gemma":[0.0014828616,0.00024089744,0.00069657277,0.00040424115,0.0008367355,0.0010296215,0.0007573362,0.0013230867,0.00033836774],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009854904,0.00011052567,0.00067442964,0.0003398971,0.00007445777,0.0002554542,0.00041243221,0.43087685,0.07776057,0.33032015,0.00271501,0.15636165],"study_design_scores_gemma":[0.0000081822855,0.000012441088,0.00010183382,0.00000797526,0.000004444916,0.00007293306,0.000015553036,0.9708838,0.006523173,0.01980824,0.0025445728,0.000016942726],"about_ca_topic_score_codex":0.0029189568,"about_ca_topic_score_gemma":0.0025811312,"teacher_disagreement_score":0.0029189568,"about_ca_system_score_codex":0.0005350477,"about_ca_system_score_gemma":0.0014485589,"threshold_uncertainty_score":0.0058039427},"labels":[],"label_agreement":null},{"id":"W2012454583","doi":"10.1007/s10439-008-9537-5","title":"A DSP Based Multi-Frequency 3D Electrical Impedance Tomography System","year":2008,"lang":"en","type":"article","venue":"Annals of Biomedical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hamilton Health Sciences; McMaster University; McMaster University Medical Centre","funders":"","keywords":"Electrical impedance tomography; Imaging phantom; Acoustics; Demodulation; Electrical impedance; Waveform; Iterative reconstruction; SIGNAL (programming language); Tomography; Signal generator; Voltage; Materials science; Electronic engineering; Computer science; Physics; Engineering; Optics; Electrical engineering; Channel (broadcasting); Artificial intelligence","score_opus":0.0199748492117296,"score_gpt":0.2263616226719177,"score_spread":0.2063867734601881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012454583","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050438587,0.00032229073,0.93590665,0.00038940564,0.00019284304,0.00029260118,0.0004579906,0.0054265303,0.006573142],"genre_scores_gemma":[0.4828549,0.0004715331,0.4960193,0.0012582805,0.0001981065,0.000499761,0.0007262519,0.00034195505,0.017629832],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99946064,0.00010000973,0.00003498096,0.000105567786,0.0002736403,0.000025101728],"domain_scores_gemma":[0.999511,0.00015346125,0.000040954015,0.000056616176,0.00018830044,0.00004972213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005252903,0.0005954686,0.00078502536,0.00076331553,0.00029500521,0.0007533449,0.0010669876,0.0010826734,0.0078060217],"category_scores_gemma":[0.0010080606,0.00038503463,0.00027225167,0.0004849006,0.00018845267,0.00071682443,0.0006358266,0.00040747583,0.0025042086],"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":[0.0011363247,0.0002935851,0.0031729818,0.0004971868,0.000121534256,0.0006107776,0.00020807223,0.0066341856,0.59515494,0.002306864,0.0062246784,0.38363895],"study_design_scores_gemma":[0.00073312345,0.0023493106,0.0150390975,0.00018230586,0.00038934944,0.0070809717,0.00018267115,0.5028548,0.4004747,0.0030059866,0.06744282,0.00026482172],"about_ca_topic_score_codex":0.00062766497,"about_ca_topic_score_gemma":0.0009905419,"teacher_disagreement_score":0.0078060217,"about_ca_system_score_codex":0.00025570492,"about_ca_system_score_gemma":0.00055839104,"threshold_uncertainty_score":0.026113808},"labels":[],"label_agreement":null},{"id":"W2014222140","doi":"10.1520/gtj100024","title":"Image Processing Technique for Determining the Concentration of a Chemical in a Fluid-Saturated Porous Medium","year":2006,"lang":"en","type":"article","venue":"Geotechnical Testing Journal","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":14,"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":"Porous medium; Geotechnical engineering; Porosity; Petroleum engineering; Materials science; Geology; Soil science; Environmental science","score_opus":0.012043313296531608,"score_gpt":0.2336495913687683,"score_spread":0.2216062780722367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014222140","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033040725,0.0002581378,0.9650361,0.000091603855,0.000026646829,0.000042893756,0.00004967162,0.00059998035,0.00085423235],"genre_scores_gemma":[0.13210656,0.00043089315,0.86630166,0.00005862136,0.000025210666,0.000100277226,0.000063217216,0.00005631489,0.0008572676],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998159,0.000024298162,0.000007497888,0.000032163873,0.00010416882,0.000016050397],"domain_scores_gemma":[0.99950397,0.00021155317,0.00005703686,0.00004592351,0.00015580977,0.000025591406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038923544,0.00041466128,0.00029098417,0.001040701,0.00019184133,0.0004485849,0.0006694089,0.00061299466,0.00092618493],"category_scores_gemma":[0.0008529534,0.00025624916,0.000280635,0.0005330215,0.0005101402,0.000458745,0.00031603684,0.0006527758,0.0003368733],"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":[0.00006718227,0.000022511593,0.00021601742,0.000116159965,0.000014208855,0.000088456596,0.00004952165,0.0029675586,0.93940485,0.0016861579,0.0002721448,0.05509528],"study_design_scores_gemma":[0.00001590757,0.00009633897,0.0009091502,0.000015166708,0.000031611642,0.0004656856,0.000027001144,0.10246795,0.89208853,0.0007584703,0.003091245,0.000032914446],"about_ca_topic_score_codex":0.0006472419,"about_ca_topic_score_gemma":0.0005464054,"teacher_disagreement_score":0.001040701,"about_ca_system_score_codex":0.00035146644,"about_ca_system_score_gemma":0.00040911738,"threshold_uncertainty_score":0.0030984282},"labels":[],"label_agreement":null},{"id":"W2014439160","doi":"10.1109/embc.2013.6610520","title":"Analysis of reliability metrics and quality enhancement measures in current density imaging","year":2013,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; Toronto Public Health; Toronto Metropolitan University","funders":"Canadian Institutes of Health Research","keywords":"Imaging phantom; Image quality; Metric (unit); Rotation (mathematics); Reliability (semiconductor); Computer science; Artificial intelligence; Computer vision; Image (mathematics); Physics; Optics; Engineering","score_opus":0.017170957958297067,"score_gpt":0.2582564088683262,"score_spread":0.24108545091002911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014439160","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10831086,0.0015003108,0.8876135,0.00015890787,0.00003055568,0.000109210574,0.000140897,0.00046820505,0.0016675151],"genre_scores_gemma":[0.8506388,0.00047237356,0.14759026,0.00003630925,0.000054320855,0.00015067228,0.00034726132,0.00012890891,0.0005810696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99550146,0.0015298083,0.0003328026,0.0004730304,0.0019795406,0.00018334831],"domain_scores_gemma":[0.9675684,0.020410918,0.004132317,0.0024115797,0.005198526,0.00027826725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066357236,0.00087584316,0.00067337824,0.003632511,0.00032337205,0.0011380131,0.00080247084,0.00082798523,0.00072651246],"category_scores_gemma":[0.02909337,0.00033155415,0.00061682984,0.0016969014,0.0010026639,0.0015146262,0.0006856998,0.00051679736,0.00022875561],"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":[0.00087171147,0.00022701535,0.04578922,0.00095824595,0.00036924178,0.0008678974,0.0009837305,0.48961237,0.07923807,0.032793254,0.001573731,0.34671554],"study_design_scores_gemma":[0.000018077279,0.0010989726,0.034018837,0.000096623175,0.00013876671,0.0013549475,0.00021162262,0.90726507,0.03628527,0.016566243,0.0028408987,0.000104732135],"about_ca_topic_score_codex":0.0008727554,"about_ca_topic_score_gemma":0.0004601484,"teacher_disagreement_score":0.0066357236,"about_ca_system_score_codex":0.00087825576,"about_ca_system_score_gemma":0.00042802296,"threshold_uncertainty_score":0.035093486},"labels":[],"label_agreement":null},{"id":"W2015456590","doi":"10.1016/s0009-2509(00)00083-x","title":"The hydrodynamics of the high-density bottom zone in a CFB riser analyzed by means of electrical capacitance tomography (ECT)","year":2000,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":60,"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 New Brunswick","funders":"","keywords":"Annulus (botany); Standard deviation; Mass flux; Mechanics; Materials science; Flux (metallurgy); Electrical capacitance tomography; Capacitance; Core (optical fiber); Chemistry; Physics; Composite material; Mathematics; Metallurgy; Electrode","score_opus":0.0017269763094877198,"score_gpt":0.15876062214039552,"score_spread":0.1570336458309078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015456590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99396247,0.00007319093,0.0046701287,0.00010202229,0.000012383297,0.000011179313,0.00016085681,0.00017381544,0.0008338889],"genre_scores_gemma":[0.9978537,0.00003874217,0.0015682614,0.000018702412,0.00000517741,0.0000049374744,0.000088901375,0.000009755207,0.00041183506],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999918,0.000006507113,0.0000024117455,0.000017369603,0.00003320101,0.000022492131],"domain_scores_gemma":[0.9998838,0.000037932485,0.000014648255,0.000005223176,0.000026066213,0.000032307416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010160638,0.00024184422,0.0003551553,0.0004079813,0.00054158166,0.00041323257,0.00027048562,0.00048696928,0.0007246831],"category_scores_gemma":[0.0002816745,0.0001628505,0.00015166757,0.00027119624,0.0006880282,0.0003942536,0.00029721681,0.00060755975,0.00009189893],"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":[0.00043779184,0.000095787356,0.013068275,0.000042497642,0.000018037088,0.0008168384,0.00018797802,0.028788298,0.94825125,0.00071244076,0.0004928633,0.0070878905],"study_design_scores_gemma":[0.00014119933,0.0005212566,0.21174937,0.000021360647,0.00004250236,0.0005394314,0.00051258854,0.5729276,0.21138236,0.00068136724,0.0013421824,0.000138739],"about_ca_topic_score_codex":0.014681909,"about_ca_topic_score_gemma":0.0058076675,"teacher_disagreement_score":0.014681909,"about_ca_system_score_codex":0.00060903357,"about_ca_system_score_gemma":0.0006176052,"threshold_uncertainty_score":0.029192865},"labels":[],"label_agreement":null},{"id":"W2017349683","doi":"10.1088/0967-3334/29/6/s08","title":"Direct EIT Jacobian calculations for conductivity change and electrode movement","year":2008,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":45,"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":"Jacobian matrix and determinant; Electrical impedance tomography; Perturbation (astronomy); Finite element method; Boundary (topology); Mathematical analysis; Boundary value problem; Mathematics; Tomography; Geometry; Algorithm; Computer science; Physics; Applied mathematics; Optics","score_opus":0.19297594995462328,"score_gpt":0.2466691054169821,"score_spread":0.05369315546235881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017349683","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0078184595,0.000059472695,0.9886981,0.000050398736,0.000037098984,0.000042282358,0.000044661112,0.00082502083,0.0024245162],"genre_scores_gemma":[0.15568286,0.00024586794,0.8328516,0.000057948648,0.000032359574,0.00013210042,0.00019979467,0.0006967599,0.010100749],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996439,0.00004182607,0.00002389518,0.000045371948,0.00022713466,0.000017746623],"domain_scores_gemma":[0.99881613,0.00047567277,0.00009203639,0.00016048079,0.0004195142,0.000036268295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048578563,0.0008578112,0.0005103287,0.000754212,0.0004103921,0.0006682274,0.00087217847,0.0006904652,0.008287478],"category_scores_gemma":[0.0034832472,0.0003871848,0.0005036478,0.00047469337,0.00036313853,0.000879029,0.0006197226,0.00072168483,0.0020368446],"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":[0.00016477045,0.00016586918,0.0023931481,0.00061706005,0.000075629374,0.0006700798,0.00051679305,0.38341358,0.15224658,0.043617543,0.006696064,0.40942279],"study_design_scores_gemma":[0.00002113728,0.000060284146,0.0011568846,0.000020691812,0.000018845678,0.0005217002,0.000047619473,0.9411257,0.045913376,0.0042417184,0.006841374,0.000030699855],"about_ca_topic_score_codex":0.0030067977,"about_ca_topic_score_gemma":0.0038786267,"teacher_disagreement_score":0.008287478,"about_ca_system_score_codex":0.00044870083,"about_ca_system_score_gemma":0.00097286695,"threshold_uncertainty_score":0.027724385},"labels":[],"label_agreement":null},{"id":"W2018139408","doi":"10.1149/1.3263132","title":"Concentration Polarization in Electroosmotic Pumps","year":2009,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Electrokinetic phenomena; Concentration polarization; Polarization (electrochemistry); Volumetric flow rate; Microfluidics; Chemistry; Ionic bonding; Chemical physics; Electrode; Mechanics; Analytical Chemistry (journal); Ion; Materials science; Nanotechnology; Chromatography; Physics; Membrane; Physical chemistry","score_opus":0.0037508548156315585,"score_gpt":0.1838889555382888,"score_spread":0.18013810072265724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018139408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8889133,0.0015455468,0.094696626,0.000665982,0.00008440986,0.0000633224,0.00012427555,0.0003337351,0.0135727655],"genre_scores_gemma":[0.99043804,0.0007530023,0.0064914217,0.00009067254,0.000014944421,0.00002509067,0.000044852746,0.00001910167,0.0021228064],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989665,0.000013385332,0.0000039721635,0.00002621573,0.000041165877,0.000018745404],"domain_scores_gemma":[0.9998042,0.000087051645,0.0000444115,0.000009878295,0.000041181625,0.000013239965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012326697,0.00024287967,0.00014247424,0.00018054199,0.00028766503,0.00057964097,0.0002223803,0.00036801997,0.0007519144],"category_scores_gemma":[0.0006281425,0.00021352281,0.000084025916,0.00016408716,0.00058517983,0.00067423197,0.00039341033,0.00046831134,0.00018503246],"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":[0.00007999712,0.000027772765,0.0009527878,0.00007438447,0.0000047850913,0.0002492767,0.00009699224,0.004051431,0.97522146,0.0075553916,0.0004095899,0.011276218],"study_design_scores_gemma":[0.00002521211,0.00008088337,0.0022541615,0.000018960991,0.0000073061756,0.0003864471,0.000070562804,0.079907596,0.909131,0.003230394,0.004865197,0.000022307357],"about_ca_topic_score_codex":0.00031491555,"about_ca_topic_score_gemma":0.00014012626,"teacher_disagreement_score":0.0007519144,"about_ca_system_score_codex":0.00034999807,"about_ca_system_score_gemma":0.00013735019,"threshold_uncertainty_score":0.002539456},"labels":[],"label_agreement":null},{"id":"W2019530880","doi":"10.1002/cjce.5450810372","title":"3D‐ECT Velocimetry for Flow Structure Quantification of Gas‐Liquid‐Solid Fluidized Beds","year":2003,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Science Foundation","keywords":"Tomography; Electrical capacitance tomography; Velocimetry; Particle image velocimetry; Bubble; Spiral (railway); Multiphase flow; Flow (mathematics); Particle tracking velocimetry; Materials science; Physics; Mechanics; Optics; Engineering; Capacitance; Turbulence; Mechanical engineering","score_opus":0.006348627301084667,"score_gpt":0.19006352830687712,"score_spread":0.18371490100579246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019530880","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30053404,0.0007490933,0.6952521,0.00037406854,0.000058251633,0.00007238265,0.00021454658,0.0007829806,0.0019625283],"genre_scores_gemma":[0.8682599,0.00030699835,0.13045123,0.000039749626,0.000011803382,0.00004299747,0.00011903748,0.000021896964,0.0007463675],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998203,0.000054528125,0.000007345553,0.000018875064,0.00008485403,0.000014101262],"domain_scores_gemma":[0.99967957,0.00016235995,0.000039142033,0.000021327967,0.00008089746,0.000016768217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005803627,0.00024503,0.000221575,0.0008767629,0.00017811466,0.000450929,0.00024624905,0.00041040403,0.0005656416],"category_scores_gemma":[0.0012093448,0.00024103394,0.00015908065,0.0003719479,0.00034684964,0.0003722592,0.00027250696,0.00035496437,0.00008053902],"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":[0.0003256629,0.000080899474,0.010827354,0.00014471934,0.000024180943,0.00018183266,0.00010934161,0.21232246,0.6344112,0.00831565,0.0011985657,0.13205808],"study_design_scores_gemma":[0.000015678614,0.00003323559,0.0039361245,0.000009036588,0.000007329968,0.000056646004,0.000014719357,0.83634484,0.15803996,0.0006214976,0.000897869,0.000023025288],"about_ca_topic_score_codex":0.0037653458,"about_ca_topic_score_gemma":0.002596948,"teacher_disagreement_score":0.0037653458,"about_ca_system_score_codex":0.0007676153,"about_ca_system_score_gemma":0.000506918,"threshold_uncertainty_score":0.00748688},"labels":[],"label_agreement":null},{"id":"W2022298556","doi":"10.1088/0967-3334/28/9/003","title":"A novel approach for EIT regularization via spatial and spectral principal component analysis","year":2007,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Electrical impedance tomography; Subspace topology; Regularization (linguistics); Inverse problem; Principal component analysis; Iterative reconstruction; Algorithm; Mathematics; Inverse; Tomography; Computer science; Applied mathematics; Mathematical optimization; Mathematical analysis; Artificial intelligence; Physics; Geometry; Optics","score_opus":0.04464081395664906,"score_gpt":0.22880015921437022,"score_spread":0.18415934525772115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022298556","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008341819,0.00003009151,0.9987771,0.00004129159,0.000011824713,0.000010613522,0.000008224725,0.00009558978,0.00019107756],"genre_scores_gemma":[0.018786214,0.00012664712,0.9795964,0.00004730372,0.000040125706,0.000084870095,0.000083911575,0.00010010426,0.0011343381],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990464,0.00025102537,0.000049748574,0.00015258949,0.00046283353,0.000037337893],"domain_scores_gemma":[0.99914134,0.0002543947,0.00008304804,0.0001665452,0.00031291798,0.000041838783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011005795,0.0009758445,0.00072290556,0.0009301016,0.00061048265,0.0007081905,0.0010954562,0.001004635,0.0012522223],"category_scores_gemma":[0.0022638072,0.00042070658,0.0012260852,0.00083254976,0.00081680185,0.0009950233,0.0011901803,0.0016108303,0.0007810415],"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":[0.00014147493,0.00022447309,0.0010526862,0.00032921962,0.00027167294,0.00023652441,0.0002959876,0.2145156,0.13807131,0.08299018,0.0062532346,0.55561763],"study_design_scores_gemma":[0.000010225755,0.000049874987,0.00032589238,0.00001123792,0.000022431246,0.00018841535,0.000016831642,0.971617,0.012089183,0.008180074,0.0074502775,0.000038571583],"about_ca_topic_score_codex":0.0012562332,"about_ca_topic_score_gemma":0.0020475793,"teacher_disagreement_score":0.0012562332,"about_ca_system_score_codex":0.00033989895,"about_ca_system_score_gemma":0.0009690819,"threshold_uncertainty_score":0.005820513},"labels":[],"label_agreement":null},{"id":"W2022546352","doi":"10.1016/s0021-9797(03)00548-4","title":"Removing the effects of additive noise from TIRM measurements","year":2003,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Syncrude","keywords":"Noise (video); Acoustics; Chemistry; Physics; Computer science; Artificial intelligence","score_opus":0.006062007376622544,"score_gpt":0.21130255244786275,"score_spread":0.2052405450712402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022546352","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1514718,0.0013125481,0.8344262,0.0005826264,0.000670579,0.000112949754,0.00092874316,0.00480318,0.0056913258],"genre_scores_gemma":[0.4799717,0.001876548,0.5000398,0.00068665657,0.00015498642,0.0003005178,0.0028333922,0.0027639596,0.011372437],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998401,0.00023584695,0.000088752364,0.00033877115,0.00071242166,0.00022315959],"domain_scores_gemma":[0.997738,0.0007807594,0.00016018911,0.0005109676,0.00074671756,0.000063355874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014611162,0.0017149926,0.0011201906,0.0010900556,0.0006508128,0.0013253386,0.00087349216,0.001729686,0.0033538057],"category_scores_gemma":[0.007447139,0.00091721653,0.0008532566,0.0013761484,0.000503654,0.0014446898,0.001606329,0.0017390505,0.0031447262],"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":[0.0005850406,0.00020312022,0.0039316337,0.0007072861,0.00012842937,0.00032641776,0.00049208594,0.010425703,0.7973679,0.0031710928,0.0036983145,0.17896299],"study_design_scores_gemma":[0.000056441182,0.00019590926,0.023390621,0.00011470666,0.00026691545,0.00083168305,0.00016918337,0.13818944,0.81205285,0.0028583696,0.021678811,0.000195048],"about_ca_topic_score_codex":0.0019528675,"about_ca_topic_score_gemma":0.004493921,"teacher_disagreement_score":0.0033538057,"about_ca_system_score_codex":0.00055548287,"about_ca_system_score_gemma":0.0013560711,"threshold_uncertainty_score":0.011219621},"labels":[],"label_agreement":null},{"id":"W2023627147","doi":"10.1088/0967-3334/26/2/017","title":"Automatic detection of detached and erroneous electrodes in electrical impedance tomography","year":2005,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance tomography; Electrode; Electrical impedance; Tomography; Biomedical engineering; Computer science; Materials science; Artificial intelligence; Acoustics; Electrical engineering; Engineering; Optics; Physics","score_opus":0.017733589062859618,"score_gpt":0.2058689790360533,"score_spread":0.18813538997319368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023627147","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.088469304,0.00025462327,0.90983593,0.000073180876,0.00003977842,0.000038853028,0.000031873184,0.00088205165,0.00037444013],"genre_scores_gemma":[0.562809,0.00015677564,0.43587565,0.00008516025,0.000028140483,0.0000527291,0.00014632927,0.00012577746,0.00072044274],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964833,0.00096301106,0.00023053214,0.0006943563,0.0014761044,0.00015261618],"domain_scores_gemma":[0.9881186,0.0071418313,0.0014114694,0.0015287859,0.0016053695,0.00019383982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020811963,0.0007497386,0.0010832368,0.0014728738,0.00055813644,0.0011139357,0.0016075263,0.0017301778,0.00048723342],"category_scores_gemma":[0.017134337,0.00054471224,0.00036075458,0.00081510766,0.0010543359,0.0014046377,0.0016649511,0.0010076948,0.00041580803],"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":[0.0018423289,0.00021181478,0.02295947,0.00038224415,0.00017346231,0.0012741155,0.00085565937,0.060385972,0.2628683,0.003524086,0.0013713005,0.64415133],"study_design_scores_gemma":[0.000081202495,0.00036324712,0.021965412,0.00005847681,0.00009115764,0.003922231,0.00022689387,0.75633067,0.20731904,0.007061801,0.002450795,0.00012907461],"about_ca_topic_score_codex":0.0009893813,"about_ca_topic_score_gemma":0.0017009815,"teacher_disagreement_score":0.0020811963,"about_ca_system_score_codex":0.000282963,"about_ca_system_score_gemma":0.00042419683,"threshold_uncertainty_score":0.011006594},"labels":[],"label_agreement":null},{"id":"W2025575929","doi":"10.1016/j.powtec.2006.07.022","title":"Tomographic imaging of a conical fluidized bed of dry pharmaceutical granule","year":2006,"lang":"en","type":"article","venue":"Powder Technology","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Merck Canada","keywords":"Fluidization; Granule (geology); Bubble; Fluidized bed; Turbulence; Materials science; Particle size; Conical surface; Mechanics; Analytical Chemistry (journal); Mineralogy; Physics; Composite material; Thermodynamics; Chemistry; Chromatography","score_opus":0.004718406161899828,"score_gpt":0.21969089155566485,"score_spread":0.214972485393765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025575929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9558227,0.0009598106,0.0345093,0.00053901866,0.0000415687,0.00012576074,0.0010119977,0.00037458632,0.0066152825],"genre_scores_gemma":[0.9766664,0.0003022083,0.021024464,0.00008418955,0.000016940203,0.00003481029,0.00044668725,0.00003809202,0.0013863366],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999155,0.0000121806825,0.000007062666,0.0000140588145,0.000034852954,0.000016452164],"domain_scores_gemma":[0.99961334,0.0002175078,0.0000337507,0.000034428747,0.000064378575,0.000036729693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023197068,0.00020449559,0.00022236207,0.00060969155,0.00032421973,0.00040711625,0.0004184132,0.0008473328,0.0035851337],"category_scores_gemma":[0.0004239551,0.00020668718,0.00019082899,0.00043548006,0.0004869249,0.00045005296,0.000278289,0.00048761818,0.00020424441],"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":[0.0014002544,0.00014886998,0.0029864472,0.00021368143,0.000022012102,0.0018556248,0.00019287359,0.0094922315,0.96958905,0.0014452267,0.0007723991,0.011881374],"study_design_scores_gemma":[0.00023654563,0.0011048916,0.07714608,0.00010698595,0.00010434111,0.007324622,0.0006867305,0.15238565,0.7544393,0.0009982216,0.0053689107,0.000097768185],"about_ca_topic_score_codex":0.0016144457,"about_ca_topic_score_gemma":0.0010386553,"teacher_disagreement_score":0.0035851337,"about_ca_system_score_codex":0.00036206003,"about_ca_system_score_gemma":0.0005358464,"threshold_uncertainty_score":0.011993468},"labels":[],"label_agreement":null},{"id":"W2028369730","doi":"10.1016/j.cej.2013.11.007","title":"Using tomography to visualize the continuous-flow mixing of biopolymer solutions inside a stirred tank reactor","year":2013,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Impeller; Mixing (physics); Laminar flow; Materials science; Mechanics; Inlet; Residence time distribution; Non-Newtonian fluid; Flow (mathematics); Rheology; Volumetric flow rate; Xanthan gum; Mechanical engineering; Engineering; Composite material; Physics","score_opus":0.014347675294018038,"score_gpt":0.21723461907751082,"score_spread":0.20288694378349278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028369730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8235488,0.0012627029,0.17083609,0.00068509905,0.000077672994,0.000109467976,0.00018988615,0.0005153451,0.0027749625],"genre_scores_gemma":[0.8891655,0.00087022234,0.10758543,0.00014519635,0.00003484164,0.000088028755,0.00013867673,0.00006675004,0.0019052938],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998324,0.000033925986,0.000009138417,0.0000395969,0.00005922804,0.000025665035],"domain_scores_gemma":[0.99953985,0.00026617202,0.00009074738,0.000027445665,0.00004649417,0.00002932166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044818505,0.0004866971,0.0002901332,0.00037350194,0.0002748113,0.0006589511,0.0005088346,0.0009197749,0.0007449477],"category_scores_gemma":[0.0008260636,0.00031675355,0.00029694746,0.00042099983,0.0006365612,0.0011844549,0.00051286834,0.0009490471,0.00018762596],"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":[0.00008809324,0.000019550762,0.00023347071,0.00002901507,0.0000031864952,0.00006676722,0.000025472751,0.0005131964,0.9968765,0.00026759636,0.000038181952,0.0018390587],"study_design_scores_gemma":[0.000036137404,0.00016386788,0.0010534442,0.000008707644,0.000015039005,0.00017991601,0.000037369,0.0255741,0.9720091,0.00014754533,0.0007582119,0.000016525622],"about_ca_topic_score_codex":0.0011187711,"about_ca_topic_score_gemma":0.0006593098,"teacher_disagreement_score":0.0011187711,"about_ca_system_score_codex":0.00056621176,"about_ca_system_score_gemma":0.00078384276,"threshold_uncertainty_score":0.0041081905},"labels":[],"label_agreement":null},{"id":"W2031220720","doi":"10.1109/tbme.2012.2209116","title":"Toward Morphological Thoracic EIT: Major Signal Sources Correspond to Respective Organ Locations in CT","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":53,"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":"Electrical impedance tomography; Iterative reconstruction; Tomography; Computer vision; Artificial intelligence; Computer science; SIGNAL (programming language); Boundary (topology); Data set; Medical imaging; Pattern recognition (psychology); Biomedical engineering; Physics; Mathematics; Engineering; Optics","score_opus":0.01394961910827654,"score_gpt":0.2383684110044816,"score_spread":0.22441879189620506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031220720","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10784514,0.0003218954,0.8890239,0.00018860592,0.000014458236,0.00008278681,0.000116467665,0.00077324593,0.0016334987],"genre_scores_gemma":[0.34864318,0.00049233943,0.6493037,0.0000838852,0.000019886518,0.00007648171,0.00020104772,0.00014865457,0.001030921],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998399,0.00004135225,0.000012158013,0.00005367581,0.000036970407,0.000015939413],"domain_scores_gemma":[0.9993814,0.00024900932,0.00010219175,0.000075536744,0.00015367653,0.00003810613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006236192,0.0005053193,0.00026220083,0.001235615,0.00023563024,0.0012792723,0.00048451434,0.0009456326,0.0014623418],"category_scores_gemma":[0.0032211521,0.00038183515,0.00026304938,0.0006800632,0.0006887502,0.0008055803,0.00048961834,0.0006974915,0.0009749663],"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":[0.00086007,0.000099192985,0.01613666,0.00030371032,0.000028910305,0.000783019,0.00044452012,0.021047626,0.65384805,0.0044777393,0.00089657464,0.3010739],"study_design_scores_gemma":[0.00008273358,0.00040775826,0.058499113,0.0001648124,0.00012006915,0.0055681113,0.00056804647,0.53729403,0.38294435,0.00782417,0.006458897,0.000068028705],"about_ca_topic_score_codex":0.0007548519,"about_ca_topic_score_gemma":0.0009113242,"teacher_disagreement_score":0.0014623418,"about_ca_system_score_codex":0.00018614356,"about_ca_system_score_gemma":0.00045116458,"threshold_uncertainty_score":0.0048919916},"labels":[],"label_agreement":null},{"id":"W2031992884","doi":"10.1088/0967-3334/33/5/831","title":"Electrical impedance tomography system based on active electrodes","year":2012,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Electronic engineering; Amplifier; Electrical impedance; Electrode; Instrumentation (computer programming); Electrical engineering; Converters; Field-programmable gate array; Engineering; Voltage; Computer science; Computer hardware; CMOS; Physics","score_opus":0.029455192317013153,"score_gpt":0.21277875475154084,"score_spread":0.1833235624345277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031992884","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14788799,0.0014027829,0.8328976,0.000614375,0.00047211722,0.00065545674,0.0008205161,0.0069755907,0.008273558],"genre_scores_gemma":[0.697736,0.0010695322,0.28166726,0.0008336117,0.00022533629,0.0005407589,0.0007640788,0.00017267269,0.01699071],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990693,0.00015131384,0.000089672205,0.00026140944,0.00039164835,0.000036807363],"domain_scores_gemma":[0.9990509,0.00025677803,0.00013004169,0.0001572885,0.0003425979,0.000062272644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048173257,0.000646147,0.0006530434,0.00064084993,0.00024899168,0.000750736,0.0014707869,0.0009038545,0.0051321634],"category_scores_gemma":[0.0014541204,0.00035347953,0.0002665981,0.0006163351,0.0002449067,0.0015116084,0.00072498916,0.00039371292,0.0019323704],"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":[0.00075115485,0.00019457162,0.0044461098,0.0005044797,0.000073585026,0.0008972711,0.00020283018,0.0017815842,0.8083617,0.0017797953,0.0039101033,0.17709674],"study_design_scores_gemma":[0.000558157,0.0038840903,0.02855774,0.00017377421,0.0004045773,0.010615495,0.00015697573,0.09371227,0.7861985,0.002032013,0.07341677,0.00028968678],"about_ca_topic_score_codex":0.00032107026,"about_ca_topic_score_gemma":0.0002761916,"teacher_disagreement_score":0.0051321634,"about_ca_system_score_codex":0.0002670845,"about_ca_system_score_gemma":0.00025738604,"threshold_uncertainty_score":0.01716882},"labels":[],"label_agreement":null},{"id":"W2032776399","doi":"10.1002/cjce.21616","title":"Characterisation of the mixing of non‐newtonian fluids with a scaba 6SRGT impeller through ert and CFD","year":2011,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Impeller; Computational fluid dynamics; Mixing (physics); Shear thinning; Mechanics; Rheology; Non-Newtonian fluid; Materials science; Slip factor; Agitator; Newtonian fluid; Mechanical engineering; Engineering; Physics; Composite material","score_opus":0.006542539029087448,"score_gpt":0.1517601371837406,"score_spread":0.14521759815465315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032776399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96140945,0.00016674546,0.037084565,0.000057596302,0.000013489784,0.000054135,0.00015052938,0.00020706202,0.0008564515],"genre_scores_gemma":[0.9741216,0.000100944664,0.024782645,0.000008915852,0.0000041667936,0.000026033771,0.00012210904,0.000025119974,0.000808445],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996532,0.000056858866,0.000027052774,0.000049305232,0.00018189842,0.000031747903],"domain_scores_gemma":[0.99947983,0.00023618873,0.00008152841,0.0000549896,0.00012588997,0.000021566626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008175448,0.00028538052,0.0004056188,0.0006748414,0.00031267334,0.00041591763,0.00040874135,0.00042675406,0.0010048867],"category_scores_gemma":[0.0013622028,0.0002054609,0.00028332177,0.00055423187,0.0005124325,0.00043003983,0.0002746209,0.0003514872,0.00017985144],"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":[0.0004107996,0.000069099275,0.004656155,0.000075616896,0.000010516559,0.00026920886,0.00019768304,0.010700229,0.9655349,0.00048776262,0.00011884437,0.017469209],"study_design_scores_gemma":[0.00003355389,0.0003875093,0.010593173,0.000008306406,0.0000134316,0.00019992587,0.00008714428,0.11676594,0.8700065,0.00009078985,0.0017852955,0.000028312392],"about_ca_topic_score_codex":0.0025362968,"about_ca_topic_score_gemma":0.0019859162,"teacher_disagreement_score":0.0025362968,"about_ca_system_score_codex":0.00046996147,"about_ca_system_score_gemma":0.00032090285,"threshold_uncertainty_score":0.0050430894},"labels":[],"label_agreement":null},{"id":"W2033374680","doi":"10.1088/1742-6596/434/1/012077","title":"A Novel Method for Monitoring Data Quality in Electrical Impedance Tomography","year":2013,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Computer science; Reliability (semiconductor); Data quality; SIGNAL (programming language); Quality (philosophy); Tomography; Measure (data warehouse); Ventilation (architecture); Data set; Data mining; Real-time computing; Reliability engineering; Artificial intelligence; Medicine; Engineering; Radiology","score_opus":0.05887182975112683,"score_gpt":0.32380815096186133,"score_spread":0.2649363212107345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033374680","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035081822,0.00032530396,0.96192384,0.000113626185,0.000075508884,0.00018569523,0.00038552133,0.0012877547,0.0006208937],"genre_scores_gemma":[0.24398758,0.0002807494,0.7534387,0.00009762874,0.0000788214,0.00032390823,0.00079808536,0.0002483275,0.00074616814],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9946367,0.0010071151,0.0005325942,0.0010116341,0.0026387437,0.0001731624],"domain_scores_gemma":[0.9881309,0.0044785948,0.001845185,0.0015138166,0.0038058124,0.00022567387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035024167,0.00073029596,0.00076912105,0.0024729876,0.00044308687,0.0021940982,0.0014307608,0.001211535,0.0011889605],"category_scores_gemma":[0.02133839,0.00037901872,0.00071960705,0.0024925356,0.0008460617,0.001847142,0.0014428989,0.001163347,0.00044986914],"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":[0.0010740906,0.00033934411,0.037161235,0.00078795187,0.00036967424,0.0005079166,0.000902405,0.03548019,0.22329006,0.0061063035,0.002898589,0.6910823],"study_design_scores_gemma":[0.00017102726,0.0009279152,0.05249643,0.00013266069,0.00021785761,0.0029381122,0.00037531156,0.72078663,0.20505162,0.004991343,0.011637444,0.00027364376],"about_ca_topic_score_codex":0.001407951,"about_ca_topic_score_gemma":0.001721854,"teacher_disagreement_score":0.0035024167,"about_ca_system_score_codex":0.00070074084,"about_ca_system_score_gemma":0.00068889523,"threshold_uncertainty_score":0.01852274},"labels":[],"label_agreement":null},{"id":"W2033384954","doi":"10.1088/0967-3334/32/7/s13","title":"Data-driven classification of ventilated lung tissues using electrical impedance tomography","year":2011,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Ottawa Hospital","funders":"","keywords":"Electrical impedance tomography; Tidal volume; Supine position; Region of interest; Lung; Biomedical engineering; Ventilation (architecture); Lung volumes; Nuclear medicine; Artificial intelligence; Computer science; Respiratory system; Tomography; Medicine; Physics; Radiology; Anatomy; Anesthesia; Internal medicine","score_opus":0.1992404925712141,"score_gpt":0.2872004809468231,"score_spread":0.087959988375609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033384954","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08397958,0.00022321723,0.9146048,0.00008977378,0.000025916663,0.00007264953,0.00011101484,0.000617994,0.0002750729],"genre_scores_gemma":[0.52105284,0.00023502033,0.47717988,0.00011086339,0.000031499454,0.00018353591,0.0003455412,0.00008976253,0.00077107537],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995586,0.000082489256,0.000032258984,0.00015852919,0.00013778076,0.000030320845],"domain_scores_gemma":[0.9988967,0.00046049125,0.00017979518,0.00010761597,0.00030377053,0.000051537052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007403871,0.0004888419,0.0006898686,0.0007014177,0.00021725734,0.00073435693,0.00086026394,0.0008195251,0.00044413266],"category_scores_gemma":[0.002938015,0.00031988905,0.00046029862,0.0004331793,0.00039207822,0.0006859573,0.00059560256,0.0004848724,0.00028818165],"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":[0.0005737657,0.00022082793,0.014871646,0.00030875215,0.0001456428,0.00022110905,0.00019387755,0.06770094,0.592002,0.001153151,0.0008026443,0.32180572],"study_design_scores_gemma":[0.000024363451,0.0002120537,0.018666172,0.000019898187,0.00003558471,0.00032923647,0.00008023767,0.85227615,0.12538485,0.0013914218,0.0015234066,0.00005663041],"about_ca_topic_score_codex":0.0010279827,"about_ca_topic_score_gemma":0.0019921218,"teacher_disagreement_score":0.0010279827,"about_ca_system_score_codex":0.00046126434,"about_ca_system_score_gemma":0.0004666534,"threshold_uncertainty_score":0.003915608},"labels":[],"label_agreement":null},{"id":"W2034580018","doi":"10.1109/iembs.2010.5627209","title":"Polar Decomposition Radio-frequency Current Density Imaging","year":2010,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Current (fluid); Radio frequency; Interference (communication); Polar; Decomposition; Computer science; Current density; Scanner; Constraint (computer-aided design); Electronic engineering; Electromagnetic interference; Acoustics; Physics; Telecommunications; Electrical engineering; Artificial intelligence; Mathematics; Engineering; Chemistry","score_opus":0.003259005717094535,"score_gpt":0.21648059850430942,"score_spread":0.2132215927872149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034580018","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01463523,0.00022395157,0.97614473,0.0001687254,0.00003474879,0.00003457462,0.00006798217,0.00041426384,0.008275816],"genre_scores_gemma":[0.42160216,0.0012505708,0.56860673,0.00029638733,0.00006898412,0.00013057658,0.0004834984,0.00018726986,0.0073738415],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998779,0.000029256733,0.000005265682,0.000020349036,0.000053223466,0.00001392698],"domain_scores_gemma":[0.999705,0.00010070326,0.000027841614,0.00003860017,0.000113293594,0.000014375231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025032586,0.00041364445,0.00025844958,0.00057296664,0.00016459599,0.0007205829,0.0003291888,0.0004920592,0.004988952],"category_scores_gemma":[0.00090651045,0.0002161548,0.00020880782,0.00043523894,0.00038065977,0.00076216104,0.00036290116,0.00039598532,0.0013012313],"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":[0.0006029686,0.00008460442,0.0021067723,0.00043322935,0.00004014812,0.00049289875,0.00026893424,0.058347832,0.47760454,0.071600184,0.0047762813,0.3836417],"study_design_scores_gemma":[0.00004878804,0.00019667618,0.0021133462,0.000071152164,0.00005915628,0.0021505414,0.00016609342,0.61353916,0.32965788,0.022172771,0.029749654,0.000074803145],"about_ca_topic_score_codex":0.00033071,"about_ca_topic_score_gemma":0.00029927492,"teacher_disagreement_score":0.004988952,"about_ca_system_score_codex":0.00022493393,"about_ca_system_score_gemma":0.00023996399,"threshold_uncertainty_score":0.016689658},"labels":[],"label_agreement":null},{"id":"W2034658223","doi":"10.1088/0967-3334/28/7/s01","title":"Temporal image reconstruction in electrical impedance tomography","year":2007,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":102,"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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance tomography; Iterative reconstruction; Artificial intelligence; Computer vision; Kalman filter; Regularization (linguistics); Computer science; Image resolution; Hyperparameter; Tomography; Mathematics","score_opus":0.024582106975441404,"score_gpt":0.2254385286346136,"score_spread":0.2008564216591722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034658223","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071895076,0.00031149483,0.99164796,0.000089350884,0.000021444781,0.000015165569,0.000020369549,0.00014342098,0.00056135765],"genre_scores_gemma":[0.14582054,0.0011209634,0.8504577,0.00008534084,0.000047353962,0.00007210866,0.00016924694,0.00013850813,0.0020882583],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995092,0.00018189926,0.00002513922,0.00007971988,0.00018160009,0.000022492974],"domain_scores_gemma":[0.9987953,0.0007518195,0.0001145925,0.00012870779,0.00018259948,0.000027021824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012354449,0.00037831048,0.00046762193,0.00048700918,0.00022526142,0.000827704,0.0006441477,0.00095140736,0.0015648506],"category_scores_gemma":[0.006099773,0.0004797255,0.0006441922,0.0006465769,0.00055693416,0.001090163,0.0007295947,0.00082190736,0.00043943204],"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":[0.0006891918,0.0000910257,0.0032069706,0.00038866105,0.0001630491,0.00044936774,0.0003464982,0.40595242,0.06063761,0.0515633,0.0020651645,0.47444665],"study_design_scores_gemma":[0.000018660232,0.000049968145,0.0008084656,0.000023467152,0.000027379345,0.0003724033,0.000041530504,0.97068226,0.018458478,0.0065248488,0.0029681337,0.000024319712],"about_ca_topic_score_codex":0.0025618686,"about_ca_topic_score_gemma":0.002051708,"teacher_disagreement_score":0.0025618686,"about_ca_system_score_codex":0.00041755216,"about_ca_system_score_gemma":0.0005179254,"threshold_uncertainty_score":0.0065336823},"labels":[],"label_agreement":null},{"id":"W2034834214","doi":"10.1109/tbme.2011.2165714","title":"Enhancing Impedance Imaging Through Multimodal Tomography","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Modality (human–computer interaction); Tomography; Iterative reconstruction; Image quality; Sensitivity (control systems); Computer science; Noise (video); Signal-to-noise ratio (imaging); Imaging phantom; Medical imaging; SIGNAL (programming language); Electrical impedance; Singular value decomposition; Artificial intelligence; Electronic engineering; Image (mathematics); Physics; Optics; Engineering; Electrical engineering","score_opus":0.007933037595027372,"score_gpt":0.19513715366162931,"score_spread":0.18720411606660195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034834214","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15594691,0.0008833963,0.8388433,0.00024721646,0.000020916967,0.000063251246,0.00005883436,0.00050301605,0.0034332972],"genre_scores_gemma":[0.74685436,0.00085245405,0.25079706,0.00009720937,0.000023035498,0.000069343856,0.00005977022,0.00008240427,0.0011643935],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997063,0.00011312609,0.000014798354,0.000034980647,0.000105077095,0.00002565485],"domain_scores_gemma":[0.99953926,0.00029031804,0.000054940396,0.000042017902,0.00006288828,0.00001058663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064170803,0.00056046015,0.00041534269,0.00045732706,0.00009627137,0.0005697623,0.00032059156,0.00052934524,0.0012502237],"category_scores_gemma":[0.00277,0.00023745498,0.00025456966,0.00048965943,0.0004353425,0.0011481171,0.0009618463,0.0002728064,0.00030076457],"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":[0.0003743134,0.00007625954,0.0031935303,0.00033642535,0.00005434567,0.00077777077,0.00034837876,0.16925117,0.69290245,0.007834241,0.0005793378,0.12427182],"study_design_scores_gemma":[0.00005348253,0.0003489859,0.004454307,0.00007125732,0.00011881946,0.0016201063,0.00012722812,0.64601034,0.33207262,0.008078451,0.0069718924,0.000072602896],"about_ca_topic_score_codex":0.00033596807,"about_ca_topic_score_gemma":0.00048126327,"teacher_disagreement_score":0.0012502237,"about_ca_system_score_codex":0.00026901555,"about_ca_system_score_gemma":0.00021312333,"threshold_uncertainty_score":0.004182458},"labels":[],"label_agreement":null},{"id":"W2035050608","doi":"10.1088/0957-0233/13/12/304","title":"The influence of permittivity models on phantom images obtained from electrical capacitance tomography","year":2002,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical capacitance tomography; Imaging phantom; Materials science; Permittivity; Capacitance; Tomography; Relative permittivity; Iterative reconstruction; Dielectric; Optics; Physics; Computer science; Electrode; Computer vision; Optoelectronics","score_opus":0.015495325125306028,"score_gpt":0.18967511147839228,"score_spread":0.17417978635308626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035050608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68428886,0.001775383,0.31057817,0.00029892323,0.000077897916,0.000107708765,0.00023376898,0.0011183798,0.001520941],"genre_scores_gemma":[0.8594028,0.0013131354,0.13693145,0.0001779598,0.000017420936,0.00010107703,0.00042593817,0.00057536206,0.0010549306],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873024,0.00066240405,0.000097530145,0.00012099902,0.0003062962,0.00008256045],"domain_scores_gemma":[0.9883824,0.009412569,0.0007466043,0.0006929599,0.0006163778,0.00014902606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034808,0.001084104,0.0004081435,0.00063970796,0.00026831395,0.0012615727,0.0003809856,0.0009217106,0.0007645433],"category_scores_gemma":[0.025249736,0.0008024803,0.0002921606,0.0005320117,0.0007114483,0.00077084533,0.00070643454,0.00049746974,0.00018741193],"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":[0.0036979956,0.00015050548,0.003303113,0.00064070965,0.00017681529,0.0009861268,0.000709525,0.1080437,0.8404997,0.002175143,0.00036756773,0.03924904],"study_design_scores_gemma":[0.00008343353,0.0011129245,0.0074317167,0.000105593455,0.00030621103,0.0028134782,0.00022921401,0.15586369,0.82850766,0.0010559462,0.002361449,0.00012866843],"about_ca_topic_score_codex":0.0009804267,"about_ca_topic_score_gemma":0.0009420041,"teacher_disagreement_score":0.0034808,"about_ca_system_score_codex":0.0005224929,"about_ca_system_score_gemma":0.00047466965,"threshold_uncertainty_score":0.018408477},"labels":[],"label_agreement":null},{"id":"W2035723575","doi":"10.1088/0967-3334/32/7/s01","title":"Adjacent stimulation and measurement patterns considered harmful","year":2011,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":109,"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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance tomography; Noise (video); Stimulation; SIGNAL (programming language); Measure (data warehouse); Electrical impedance; Electrode; Acoustics; Amplitude; Biomedical engineering; Computer science; Materials science; Physics; Engineering; Artificial intelligence; Electrical engineering; Data mining; Optics; Medicine","score_opus":0.16558853793170664,"score_gpt":0.2158919692111378,"score_spread":0.050303431279431154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035723575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8725661,0.00037095882,0.124336116,0.00021331546,0.00007369483,0.00007596333,0.0001351557,0.00034743297,0.0018814192],"genre_scores_gemma":[0.97216076,0.00010554645,0.0269248,0.000103971965,0.000037698832,0.000049887007,0.00017299244,0.00008580972,0.0003585514],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965951,0.001067811,0.0005330729,0.00064809265,0.0009488472,0.00020704273],"domain_scores_gemma":[0.9619792,0.026829604,0.0037233625,0.0045797136,0.00219218,0.00069591193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002347825,0.000625016,0.00060824724,0.00085437205,0.0002972134,0.00077992294,0.00043342012,0.0008900007,0.0013281849],"category_scores_gemma":[0.033285446,0.00023537516,0.00045084496,0.00071645115,0.0009894313,0.001054019,0.001237539,0.00044836453,0.00032659734],"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":[0.008957751,0.0005481793,0.15986873,0.0008198642,0.00037332947,0.0018495802,0.0006042175,0.05084964,0.39263967,0.002381532,0.0006229116,0.38048464],"study_design_scores_gemma":[0.00031345233,0.010609982,0.28949592,0.00021360553,0.0007639607,0.014143007,0.00068481785,0.2477078,0.40880513,0.022136385,0.004795628,0.0003303784],"about_ca_topic_score_codex":0.00022273957,"about_ca_topic_score_gemma":0.00035878777,"teacher_disagreement_score":0.002347825,"about_ca_system_score_codex":0.00021938869,"about_ca_system_score_gemma":0.00025826384,"threshold_uncertainty_score":0.012416661},"labels":[],"label_agreement":null},{"id":"W2039534575","doi":"10.1088/0967-3334/33/5/679","title":"Whither lung EIT: Where are we, where do we want to go and what do we need to get there?","year":2012,"lang":"en","type":"review","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":158,"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":"Lung; Computer science; Physics; Medicine; Internal medicine","score_opus":0.07860538398687139,"score_gpt":0.27916627728590987,"score_spread":0.20056089329903848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039534575","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000081891405,0.99817896,0.00023370599,0.0006091967,0.00022587772,0.0000022714855,0.0000067968513,0.000005462929,0.0006558154],"genre_scores_gemma":[0.00083800167,0.9973846,0.00034662563,0.00042345503,0.000314885,0.0000061998703,0.00001454749,0.0000024450476,0.0006692209],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995809,0.00007687548,0.00006927149,0.000078924924,0.0001662572,0.000027878086],"domain_scores_gemma":[0.9985455,0.00088361703,0.00014556375,0.000039049333,0.00032686756,0.00005935694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011233964,0.000951926,0.0014702261,0.0028081858,0.00039547865,0.0014462486,0.0008902289,0.0024353142,0.0023212049],"category_scores_gemma":[0.0019446097,0.00033141478,0.00047296376,0.0021975709,0.0012862073,0.0029750129,0.0006558135,0.0023602466,0.0025646042],"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":[0.00004243604,0.00005518649,0.00032831662,0.010124261,0.00004693628,0.00014792591,0.0001405918,0.00028002635,0.0013297996,0.0065473546,0.019947615,0.9610095],"study_design_scores_gemma":[0.000009726113,0.000105813684,0.0015934436,0.0051005,0.00007458177,0.0029914356,0.0003316685,0.00016969381,0.0010418588,0.006030181,0.98250985,0.000041206506],"about_ca_topic_score_codex":0.0011721763,"about_ca_topic_score_gemma":0.0018215333,"teacher_disagreement_score":0.0028081858,"about_ca_system_score_codex":0.00073181465,"about_ca_system_score_gemma":0.001135277,"threshold_uncertainty_score":0.0077652335},"labels":[],"label_agreement":null},{"id":"W2039861551","doi":"10.1118/1.4894995","title":"Poster — Thur Eve — 09: Evaluation of electrical impedance and computed tomography fusion algorithms using an anthropomorphic phantom","year":2014,"lang":"en","type":"article","venue":"Medical Physics","topic":"Electrical and Bioimpedance Tomography","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":"BC Cancer Agency","funders":"","keywords":"Imaging phantom; Image fusion; Pixel; Electrical impedance tomography; Artificial intelligence; Region of interest; Wavelet; Computer vision; Computer science; Tomography; Nuclear medicine; Algorithm; Mathematics; Image (mathematics); Physics; Medicine; Optics","score_opus":0.022476474043616475,"score_gpt":0.2754278464165109,"score_spread":0.25295137237289445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039861551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6744911,0.00047947632,0.31863305,0.00024506787,0.00021793487,0.00037542492,0.00040332874,0.0015306055,0.0036240886],"genre_scores_gemma":[0.819562,0.00023085158,0.17615336,0.00008242428,0.000042959724,0.00010725985,0.0006670881,0.0002431702,0.0029109535],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942505,0.00019696244,0.000035195775,0.00012465307,0.00018020367,0.000037946476],"domain_scores_gemma":[0.99901426,0.00045428678,0.000087982255,0.00013016285,0.00024921997,0.000064005224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018591115,0.00060783286,0.00041434672,0.0007616843,0.00018225882,0.000696764,0.00039807495,0.00060215354,0.0021974642],"category_scores_gemma":[0.004248168,0.00019333203,0.0004982012,0.00040814778,0.0003635573,0.0005894922,0.00053438614,0.00023540949,0.0005464848],"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":[0.0056856005,0.0009355613,0.00714205,0.00041303178,0.0003539083,0.0007465428,0.00031948628,0.11690348,0.57516783,0.0024040234,0.002562542,0.28736594],"study_design_scores_gemma":[0.00023019168,0.005505374,0.026051506,0.000040457136,0.0002483486,0.0023918771,0.00018304675,0.5565139,0.4002393,0.0012825012,0.007188399,0.00012507144],"about_ca_topic_score_codex":0.00065236347,"about_ca_topic_score_gemma":0.0005164064,"teacher_disagreement_score":0.0021974642,"about_ca_system_score_codex":0.00028627596,"about_ca_system_score_gemma":0.00025837542,"threshold_uncertainty_score":0.009832025},"labels":[],"label_agreement":null},{"id":"W2040795621","doi":"10.1088/0967-3334/27/5/s09","title":"Imaging of conductivity changes and electrode movement in EIT","year":2006,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance tomography; Jacobian matrix and determinant; Electrode; Smoothness; Imaging phantom; Electrical impedance; Electrical resistivity tomography; Iterative reconstruction; Acoustics; Tomography; Computer science; Materials science; Computer vision; Physics; Mathematics; Optics; Electrical resistivity and conductivity; Mathematical analysis","score_opus":0.02591153118937126,"score_gpt":0.20296587749434475,"score_spread":0.1770543463049735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040795621","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28475204,0.00045770392,0.7126459,0.00026948206,0.000036342677,0.000045568282,0.000052620013,0.0003616078,0.0013787069],"genre_scores_gemma":[0.7175675,0.000633171,0.27984226,0.000122005404,0.000018881805,0.000044375814,0.000101194666,0.000079876554,0.0015907233],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997998,0.000053830416,0.000015515228,0.000041510924,0.000075933975,0.000013501259],"domain_scores_gemma":[0.999511,0.0002680601,0.00006774932,0.00008465314,0.000048940525,0.000019530682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005239305,0.00035908955,0.00030941644,0.00040499814,0.00011170303,0.0007047565,0.00040746666,0.0008416609,0.0007123747],"category_scores_gemma":[0.0037623206,0.0003996266,0.00028154886,0.0004144135,0.0007064608,0.0008335678,0.0005145812,0.0005581795,0.00018168865],"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":[0.0007520046,0.00007662595,0.004211996,0.00026601565,0.000041719246,0.0013110641,0.00042481217,0.124334864,0.774785,0.0038879814,0.00032001003,0.089587845],"study_design_scores_gemma":[0.00010852316,0.00053456594,0.015600892,0.00006867112,0.000078049066,0.007273953,0.00017964053,0.48606974,0.47898453,0.006348922,0.0046406556,0.00011176494],"about_ca_topic_score_codex":0.00034090434,"about_ca_topic_score_gemma":0.00042262225,"teacher_disagreement_score":0.0008416609,"about_ca_system_score_codex":0.00020485566,"about_ca_system_score_gemma":0.00026097053,"threshold_uncertainty_score":0.0027708411},"labels":[],"label_agreement":null},{"id":"W2040996994","doi":"10.1007/s13762-013-0336-7","title":"Monitoring accelerated clogging of a model horizontal sub-surface flow constructed wetland using magnetic resonance transverse relaxation times","year":2013,"lang":"en","type":"article","venue":"International Journal of Environmental Science and Technology","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Nottingham; Trent University; Nottingham Trent University","keywords":"Clogging; Transverse plane; Flow (mathematics); Relaxation (psychology); Wetland; Subsurface flow; Magnetic resonance imaging; Environmental science; Surface (topology); Resonance (particle physics); Mechanics; Materials science; Nuclear magnetic resonance; Geology; Geotechnical engineering; Physics; Engineering; Geometry; Structural engineering; Atomic physics; Groundwater","score_opus":0.006667594771607057,"score_gpt":0.2011314866953549,"score_spread":0.19446389192374786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040996994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998909,0.000003841392,0.0008480787,0.000005779639,0.0000016635805,0.0000046311247,0.00004842196,0.000035242578,0.00014319764],"genre_scores_gemma":[0.9989121,0.0000067436226,0.0008080792,0.0000021268477,3.8814088e-7,0.0000052290393,0.00003853654,0.0000028470465,0.00022400344],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999627,0.000002519418,0.0000011596414,0.000014606932,0.000008591584,0.000010462575],"domain_scores_gemma":[0.9999324,0.000016046513,0.000014073796,0.00000540097,0.000014286253,0.00001777241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006292363,0.00024210353,0.00019975446,0.00017179665,0.00030844155,0.00021669277,0.00026837995,0.00032393518,0.00048209526],"category_scores_gemma":[0.00008901095,0.000089876674,0.0001687097,0.00011458812,0.00023568979,0.00014576942,0.00016067247,0.00019944634,0.00006197912],"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":[0.0010656987,0.0002408725,0.028666055,0.00005392186,0.000026163212,0.00046827688,0.00024168406,0.019876653,0.9423057,0.00012944783,0.0001365502,0.0067889877],"study_design_scores_gemma":[0.0001250611,0.002146983,0.28496715,0.000013399571,0.00013283793,0.00021730369,0.0007709851,0.33461624,0.37591144,0.0002349052,0.0007858189,0.00007786666],"about_ca_topic_score_codex":0.011763643,"about_ca_topic_score_gemma":0.01134378,"teacher_disagreement_score":0.011763643,"about_ca_system_score_codex":0.0003114476,"about_ca_system_score_gemma":0.00049575826,"threshold_uncertainty_score":0.023390293},"labels":[],"label_agreement":null},{"id":"W2041556066","doi":"10.1088/0967-3334/27/5/s03","title":"Uses and abuses of EIDORS: an extensible software base for EIT","year":2006,"lang":"ar","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":835,"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; Suite; Software engineering; Software; Reuse; Interface (matter); Key (lock); Software construction; Personalization; Software framework; Software development; Human–computer interaction; Programming language; World Wide Web; Computer security; Operating system; Engineering","score_opus":0.06745386133661634,"score_gpt":0.2392757742309731,"score_spread":0.17182191289435678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041556066","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057438007,0.00063816266,0.8673581,0.00058233214,0.0002865098,0.00030418785,0.0009971843,0.11885285,0.0052368697],"genre_scores_gemma":[0.046443522,0.0018293174,0.8761921,0.000865456,0.00024724775,0.00071762165,0.008314974,0.054862395,0.010527367],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9896889,0.0017731471,0.00278549,0.001294984,0.0038951598,0.000562322],"domain_scores_gemma":[0.9645108,0.014964613,0.0018359323,0.012413822,0.0052477955,0.0010270692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022519218,0.0020674467,0.0015408017,0.0057999687,0.0013865194,0.0051738066,0.007810351,0.0024629696,0.011611982],"category_scores_gemma":[0.046018515,0.0032957697,0.00369422,0.0035150743,0.0028928542,0.010127916,0.010001694,0.0060969694,0.008616701],"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":[0.0012498852,0.0004663857,0.010485481,0.0018476503,0.0004543973,0.0035581344,0.004961822,0.022741415,0.023633463,0.11436955,0.084023915,0.73220783],"study_design_scores_gemma":[0.00042701847,0.00042790305,0.0046384367,0.0014970994,0.0003414148,0.0050981557,0.00044358074,0.166053,0.044170823,0.09403195,0.6821788,0.0006917748],"about_ca_topic_score_codex":0.0023267372,"about_ca_topic_score_gemma":0.0021561454,"teacher_disagreement_score":0.022519218,"about_ca_system_score_codex":0.0014729244,"about_ca_system_score_gemma":0.0026716476,"threshold_uncertainty_score":0.11909443},"labels":[],"label_agreement":null},{"id":"W2041807166","doi":"10.1016/j.clinbiochem.2010.04.011","title":"Siemens dimension Vista® 1500 Intelligent Lab System and BD Vacutainer Rapid Serum Tube — improvements in laboratory turnaround time metrics","year":2010,"lang":"en","type":"article","venue":"Clinical Biochemistry","topic":"Electrical and Bioimpedance Tomography","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":"Fraser Health","funders":"","keywords":"Vacutainer; Siemens; Turnaround time; Operating system; Computer science; Medicine; Engineering; Surgery","score_opus":0.00706465993105599,"score_gpt":0.2448383314923867,"score_spread":0.23777367156133072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041807166","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3369589,0.01914429,0.5726871,0.006009228,0.0022994145,0.0012028042,0.0041743647,0.038662054,0.018861895],"genre_scores_gemma":[0.34297404,0.0025863668,0.6316548,0.0015894774,0.0007657387,0.00037701442,0.00375021,0.0025430268,0.013759356],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99251646,0.0024132964,0.0007709939,0.0011976114,0.0029010999,0.00020059457],"domain_scores_gemma":[0.98982275,0.00349731,0.0009335997,0.0010368933,0.004312712,0.0003967827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007813911,0.001231231,0.0011454697,0.0024096693,0.00039694604,0.0019026289,0.0021383497,0.0014178852,0.008368851],"category_scores_gemma":[0.015279972,0.001177372,0.00053273456,0.0017585418,0.0004084471,0.0023758488,0.00091262505,0.0014681155,0.0035165076],"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":[0.008830326,0.0009783672,0.03485338,0.00058527204,0.0002228408,0.00014435829,0.00032816103,0.0022153247,0.13381305,0.001564803,0.03173105,0.7847331],"study_design_scores_gemma":[0.002268207,0.010325663,0.22948666,0.00039788993,0.0017728213,0.008311673,0.00047384578,0.16753952,0.45393145,0.0022276957,0.12268433,0.0005801241],"about_ca_topic_score_codex":0.0041176477,"about_ca_topic_score_gemma":0.004754101,"teacher_disagreement_score":0.008368851,"about_ca_system_score_codex":0.0010747316,"about_ca_system_score_gemma":0.001759203,"threshold_uncertainty_score":0.041324437},"labels":[],"label_agreement":null},{"id":"W2046804670","doi":"10.1080/02656730310001607995","title":"Measurement of the thermal conductivity of polyacrylamide tissue-equivalent material","year":2003,"lang":"en","type":"article","venue":"International Journal of Hyperthermia","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"National Cancer Institute","keywords":"Thermal conductivity; Polyacrylamide; Materials science; Imaging phantom; Thermal; Work (physics); Heat flux; Thermal conduction; Composite material; Thermodynamics; Heat transfer; Optics; Physics; Polymer chemistry","score_opus":0.013119382306002835,"score_gpt":0.22119158222432184,"score_spread":0.208072199918319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046804670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89212286,0.0025025127,0.102497905,0.00008830115,0.00007496923,0.000053510135,0.00014667041,0.0002884081,0.0022249746],"genre_scores_gemma":[0.9585883,0.0013329014,0.038335565,0.000066226305,0.000015476006,0.000075689524,0.00016107096,0.000033904664,0.0013909432],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997156,0.00007312261,0.000018096905,0.000082455175,0.00009013503,0.000020605166],"domain_scores_gemma":[0.9994966,0.00021064909,0.00011628677,0.000047486737,0.000097286495,0.000031656135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042204757,0.00039464916,0.00026377395,0.0003250346,0.00014251827,0.0003464461,0.00022640802,0.00035425054,0.00057986396],"category_scores_gemma":[0.001097961,0.0002040665,0.00015713331,0.00019140393,0.0003474985,0.0004896295,0.00021538496,0.00036923747,0.00021888476],"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":[0.00003802083,0.000008469011,0.00024031509,0.00003350252,0.000004626031,0.00001840904,0.000017702436,0.00034805713,0.99783605,0.00008829896,0.000013731677,0.0013526777],"study_design_scores_gemma":[0.000003329921,0.00019463588,0.002021393,0.000007004142,0.000017251177,0.00027602987,0.000020657117,0.0025866157,0.9940158,0.00007727932,0.0007706196,0.00000933464],"about_ca_topic_score_codex":0.00011642426,"about_ca_topic_score_gemma":0.00013171615,"teacher_disagreement_score":0.00057986396,"about_ca_system_score_codex":0.0002092405,"about_ca_system_score_gemma":0.00012631898,"threshold_uncertainty_score":0.0022320151},"labels":[],"label_agreement":null},{"id":"W2047095509","doi":"10.1109/icsens.2011.6127372","title":"Embedded process for flexible conductive electrodes for applications in tissue electrical impedance scanning (EIS)","year":2011,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency; Simon Fraser University","funders":"","keywords":"Materials science; Electrode; Ohm; Electrical conductor; Electrical impedance; Imaging phantom; Fabrication; Optoelectronics; Nanotechnology; Conductive polymer; Polymer; Composite material; Electrical engineering; Optics; Chemistry; Physics","score_opus":0.03273596944793672,"score_gpt":0.29492059164189516,"score_spread":0.26218462219395844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047095509","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48109558,0.0017299014,0.50540555,0.00067648944,0.00029430754,0.00038782632,0.00055226946,0.002019368,0.007838683],"genre_scores_gemma":[0.5474418,0.0007547447,0.44467348,0.0001487624,0.000031768148,0.00028484294,0.00038261022,0.00010601782,0.0061759492],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985516,0.000008097592,0.000009373596,0.00003971925,0.00007691755,0.000010673279],"domain_scores_gemma":[0.99980825,0.00004829318,0.000050324736,0.000039748917,0.00004344586,0.000009914197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015327713,0.00040090544,0.0001361808,0.0001716064,0.00016849283,0.0002129109,0.00038756922,0.00039734112,0.0014764856],"category_scores_gemma":[0.0005316518,0.00019134663,0.0001559101,0.00018874185,0.00017762094,0.0003810412,0.00024782144,0.00045995764,0.0006546021],"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":[0.000007642919,0.000009918243,0.00006594884,0.000028389497,0.0000017462003,0.00006223723,0.000012659607,0.0002798901,0.99542123,0.00018715103,0.0000739024,0.0038492747],"study_design_scores_gemma":[0.000005311355,0.00007581659,0.00067787623,0.0000043640666,0.000005950739,0.00020545564,0.0000071133118,0.0031734053,0.992761,0.00009643434,0.002982607,0.0000047591843],"about_ca_topic_score_codex":0.00036647738,"about_ca_topic_score_gemma":0.0006063022,"teacher_disagreement_score":0.0014764856,"about_ca_system_score_codex":0.00019057406,"about_ca_system_score_gemma":0.00017661003,"threshold_uncertainty_score":0.0049393773},"labels":[],"label_agreement":null},{"id":"W2048685182","doi":"10.1021/ie800299w","title":"Radial Distributions of Phase Holdups and Phase Propagation Velocities in a Three-Phase Gas−Liquid−Solid Fluidized Bed (GLSCFB) Riser","year":2008,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":32,"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":"Institute of Engineering Research, Seoul National University","keywords":"Drag; Phase (matter); Materials science; Mechanics; Fluidized bed combustion; Two-phase flow; Three-phase; Fluidization; Opacity; Lava; Fiber; Fluidized bed; Flow (mathematics); Composite material; Optics; Chemistry; Thermodynamics; Geology; Physics; Volcano","score_opus":0.06724543644505106,"score_gpt":0.3309439526912238,"score_spread":0.26369851624617274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048685182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99536383,0.00009427195,0.00420244,0.000013637983,0.0000025035565,0.000009894668,0.00005719055,0.00011187887,0.0001442448],"genre_scores_gemma":[0.9949876,0.00006495002,0.0045483042,0.0000074561526,0.0000016253375,0.000009871102,0.00009306242,0.000013479926,0.00027359428],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998547,0.000014906918,0.0000063003854,0.00004238106,0.000051724117,0.000029969699],"domain_scores_gemma":[0.99961674,0.00014366432,0.000065285305,0.000019808638,0.0001119591,0.000042462558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032625132,0.00034120187,0.0003529201,0.00056146,0.00022437978,0.00046716703,0.00041888573,0.00042593168,0.00040421667],"category_scores_gemma":[0.00060327974,0.00026090757,0.00021273314,0.00034742232,0.00049136323,0.0004173496,0.00020465476,0.0004124264,0.00011877585],"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":[0.0006340423,0.00007273807,0.005787759,0.000036244088,0.000009074799,0.00021011417,0.00018520562,0.005022271,0.97830886,0.0002161854,0.000052959316,0.009464449],"study_design_scores_gemma":[0.000046080197,0.0006833402,0.024835207,0.000008949119,0.000024669775,0.0001750433,0.00018404766,0.076776266,0.89660734,0.00015324526,0.00046074993,0.000045012923],"about_ca_topic_score_codex":0.004021504,"about_ca_topic_score_gemma":0.0022642778,"teacher_disagreement_score":0.004021504,"about_ca_system_score_codex":0.0005209764,"about_ca_system_score_gemma":0.0003390696,"threshold_uncertainty_score":0.0079962015},"labels":[],"label_agreement":null},{"id":"W2049116857","doi":"10.1088/0967-3334/29/6/s04","title":"Magneto-acousto-electrical tomography: a potential method for imaging current density and electrical impedance","year":2008,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Current density; Voltage; Current (fluid); SIGNAL (programming language); Displacement current; Electrical impedance tomography; Current source; Electrical conductor; Field (mathematics); Materials science; Physics; Tomography; Optics; Computer science; Mathematics","score_opus":0.03308864596694568,"score_gpt":0.2519450650838748,"score_spread":0.21885641911692913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049116857","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019035313,0.0024002658,0.9744641,0.0005454341,0.00009318497,0.00005263912,0.000041135474,0.00024291409,0.0031249814],"genre_scores_gemma":[0.24701515,0.002722073,0.7474015,0.00014874982,0.00012447954,0.00008062452,0.00004032543,0.000049056558,0.002418],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997707,0.00007244258,0.000010237462,0.00003726241,0.00009582906,0.0000134881775],"domain_scores_gemma":[0.99960715,0.00023219468,0.000054438464,0.00004023465,0.00004588032,0.000020120828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051739794,0.00036917534,0.00027283008,0.0007596014,0.00016735231,0.0006473797,0.0006083061,0.0005789624,0.0008793691],"category_scores_gemma":[0.001274364,0.00030487828,0.00019083082,0.00062800874,0.0008291407,0.001408592,0.0006321104,0.000537654,0.00015656334],"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":[0.00020485521,0.00008168036,0.0034394455,0.00073455274,0.000059235423,0.0006237387,0.00030051434,0.020983005,0.6779392,0.09466458,0.0012293651,0.19973978],"study_design_scores_gemma":[0.00006151514,0.0004825867,0.003847416,0.00018265154,0.0000672054,0.0049396665,0.0003412674,0.4138024,0.49298453,0.03833279,0.044813115,0.00014483512],"about_ca_topic_score_codex":0.00029636003,"about_ca_topic_score_gemma":0.0005683968,"teacher_disagreement_score":0.0008793691,"about_ca_system_score_codex":0.0003626592,"about_ca_system_score_gemma":0.00030688843,"threshold_uncertainty_score":0.0029417872},"labels":[],"label_agreement":null},{"id":"W2054162298","doi":"10.1186/cc5352","title":"Assessment of breath by breath recruitment by electrical impedance tomography in saline lavage lung injury","year":2007,"lang":"en","type":"article","venue":"Critical Care","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Bayer Canada","keywords":"Electrical impedance tomography; Medicine; Positive end-expiratory pressure; Lung; Oxygenation; Saline; Ventilation (architecture); Mechanical ventilation; Anesthesia; Computed tomography; Respiratory physiology; Intensive care medicine; Tomography; Radiology; Internal medicine","score_opus":0.00976108030677965,"score_gpt":0.31019098362707204,"score_spread":0.3004299033202924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054162298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9731627,0.0011684356,0.025197223,0.000046810288,0.0000107556825,0.000074211726,0.00004771342,0.000046495643,0.00024560286],"genre_scores_gemma":[0.98840415,0.0004543368,0.010651421,0.000036069297,0.000012765946,0.000096730844,0.000071081624,0.000013146921,0.00026022852],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996828,0.00014766434,0.000020512653,0.00003812147,0.000082588376,0.000028377277],"domain_scores_gemma":[0.99947685,0.0002568623,0.00012014956,0.000039442606,0.00005470306,0.000052101495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000756316,0.0003295499,0.0003300347,0.00050618727,0.000115221424,0.00026501997,0.00033538433,0.00052703416,0.0007563427],"category_scores_gemma":[0.0014635175,0.0001435258,0.00014114166,0.0003061056,0.0005745334,0.00076729385,0.0002641406,0.0004089596,0.00015488353],"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":[0.0014370498,0.00027285682,0.009611108,0.00008784769,0.000013006338,0.00028299927,0.000113921684,0.0006305238,0.97520125,0.00012112441,0.000034908953,0.012193473],"study_design_scores_gemma":[0.00011731707,0.011795081,0.09464158,0.000026301846,0.00006929534,0.002439281,0.00023371684,0.03433202,0.85493624,0.0005727786,0.00079184835,0.00004458884],"about_ca_topic_score_codex":0.00015475953,"about_ca_topic_score_gemma":0.00016729312,"teacher_disagreement_score":0.0007563427,"about_ca_system_score_codex":0.00013657937,"about_ca_system_score_gemma":0.00011649889,"threshold_uncertainty_score":0.003999889},"labels":[],"label_agreement":null},{"id":"W2054651597","doi":"10.1016/j.powtec.2009.05.014","title":"Axial hydrodynamic studies in a gas–liquid–solid circulating fluidized bed riser","year":2009,"lang":"en","type":"article","venue":"Powder Technology","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Institute of Engineering Research, Seoul National University","keywords":"Fluidized bed combustion; Axial symmetry; Chemistry; Coalescence (physics); Mechanics; Hydrostatic equilibrium; Chromatography; Materials science; Fluidized bed","score_opus":0.01295580089204781,"score_gpt":0.2687124841913573,"score_spread":0.2557566832993095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054651597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995667,0.00019119198,0.0033086124,0.000059554197,0.000012961525,0.000012412106,0.00002832756,0.000057317735,0.0006626549],"genre_scores_gemma":[0.9968239,0.000073369585,0.002106069,0.000011241174,0.0000070580736,0.000004024604,0.000034396187,0.000011193741,0.0009288022],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980026,0.00004304493,0.000012061702,0.000036425656,0.000065404485,0.000042832322],"domain_scores_gemma":[0.9996617,0.00014605466,0.00003936125,0.000025644704,0.000091943235,0.000035273777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003602693,0.00018335103,0.00039141087,0.00019689662,0.00048506938,0.00047591035,0.00046419006,0.0002900997,0.0008277837],"category_scores_gemma":[0.00059634045,0.00013756225,0.00019820083,0.00018778363,0.0006152367,0.0004971457,0.0002577726,0.00037111895,0.00018718833],"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":[0.0005572362,0.00015137886,0.0014175455,0.00006157649,0.000005637407,0.00020207238,0.00020842542,0.0023743324,0.9874923,0.000717499,0.00018046732,0.0066315015],"study_design_scores_gemma":[0.00006669225,0.0009974135,0.0068185935,0.0000042980996,0.000017176682,0.0001521724,0.00020320027,0.056627505,0.9337667,0.00013500474,0.0011903002,0.000021063966],"about_ca_topic_score_codex":0.0028045294,"about_ca_topic_score_gemma":0.0012589548,"teacher_disagreement_score":0.0028045294,"about_ca_system_score_codex":0.0005657899,"about_ca_system_score_gemma":0.00042318873,"threshold_uncertainty_score":0.005576372},"labels":[],"label_agreement":null},{"id":"W2054956413","doi":"10.1179/cmq.2002.41.4.451","title":"Oxygen Softening of Lead: On-Line Measurement of Bullion Quality","year":2002,"lang":"en","type":"article","venue":"Canadian Metallurgical Quarterly","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bullion; Antimony; Arsenic; Metallurgy; Oxygen; Lead (geology); Chemistry; Materials science; Geology","score_opus":0.04849508245798732,"score_gpt":0.22562653266547256,"score_spread":0.17713145020748525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054956413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884884,0.00024719973,0.008017039,0.000044545774,0.000011472126,0.000015953328,0.0001442602,0.00014300479,0.002888144],"genre_scores_gemma":[0.9942827,0.00017811234,0.0024567342,0.00003649875,0.0000061373876,0.000008139632,0.00010753752,0.000023019278,0.002901112],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984777,0.000022324512,0.0000036292477,0.00002799961,0.00007657213,0.000021782007],"domain_scores_gemma":[0.9998466,0.000038602328,0.000027413325,0.000015399011,0.0000562911,0.000015691143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010055777,0.00023121221,0.00013433071,0.00043312542,0.00016524829,0.00024481147,0.0002717416,0.0003133702,0.0023080837],"category_scores_gemma":[0.00038318,0.000099854675,0.000092260256,0.00023349177,0.00018546752,0.00023394905,0.00024374359,0.00018149111,0.00021906555],"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":[0.00021893298,0.000017453736,0.005889569,0.000038500464,0.000007929692,0.000099786266,0.00014615103,0.00013472668,0.9831713,0.000073042655,0.000114267576,0.010088292],"study_design_scores_gemma":[0.000013299098,0.00031813572,0.0389846,0.000008305578,0.000023712864,0.00031635794,0.00016515654,0.001785607,0.9567284,0.00008418951,0.0015617296,0.000010400385],"about_ca_topic_score_codex":0.0020847297,"about_ca_topic_score_gemma":0.0046131965,"teacher_disagreement_score":0.0023080837,"about_ca_system_score_codex":0.0002811776,"about_ca_system_score_gemma":0.00009975209,"threshold_uncertainty_score":0.0077212453},"labels":[],"label_agreement":null},{"id":"W2061287455","doi":"10.1088/0967-3334/29/6/s09","title":"A measure of the information content of EIT data","year":2008,"lang":"ar","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kullback–Leibler divergence; Noise (video); Divergence (linguistics); Mathematics; Mutual information; Algorithm; Gaussian noise; Entropy (arrow of time); Measure (data warehouse); Gaussian; Computer science; Statistics; Physics; Data mining; Artificial intelligence; Image (mathematics)","score_opus":0.29659901231423713,"score_gpt":0.2314242248961578,"score_spread":0.06517478741807933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061287455","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26916173,0.0042524417,0.7066849,0.0029813023,0.000341903,0.00015528075,0.0034932757,0.0008078683,0.012121342],"genre_scores_gemma":[0.9060009,0.0015930657,0.08744334,0.0005385287,0.00048116487,0.0002458112,0.0016958419,0.00015992725,0.0018414317],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99645483,0.00077018555,0.00043440744,0.00070387864,0.0014435905,0.00019314696],"domain_scores_gemma":[0.96708214,0.02475964,0.0029407225,0.002775453,0.0021322644,0.00030974022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004864529,0.00091950636,0.001531081,0.0041806237,0.0006411521,0.0026819473,0.0013731818,0.0017879307,0.0022303306],"category_scores_gemma":[0.04700148,0.0005221188,0.0006004285,0.0030290184,0.0035667263,0.007855707,0.001953084,0.0013238607,0.0006528274],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023494305,0.00061603234,0.068891995,0.0031515297,0.0011176148,0.0013714168,0.0020597093,0.2138745,0.11515282,0.17263873,0.00658571,0.41219053],"study_design_scores_gemma":[0.00007557244,0.0013260075,0.08520116,0.0010110699,0.000519512,0.0046709552,0.0017794822,0.45421657,0.13022178,0.3057247,0.014573306,0.00067988544],"about_ca_topic_score_codex":0.00037577553,"about_ca_topic_score_gemma":0.00022993864,"teacher_disagreement_score":0.004864529,"about_ca_system_score_codex":0.0012291003,"about_ca_system_score_gemma":0.000490743,"threshold_uncertainty_score":0.025726378},"labels":[],"label_agreement":null},{"id":"W2061378008","doi":"10.1088/0967-3334/33/5/739","title":"Level-set-based reconstruction algorithm for EIT lung images: first clinical results","year":2012,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Iterative reconstruction; Voxel; Reconstruction algorithm; Data set; Algorithm; Computer science; Tomography; Artificial intelligence; Pattern recognition (psychology); Computer vision; Mathematics; Medicine; Radiology","score_opus":0.1727139301224728,"score_gpt":0.30748182874752156,"score_spread":0.13476789862504876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061378008","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24013229,0.001665579,0.74964476,0.0008534956,0.000074065174,0.00067143486,0.0005608585,0.0019862829,0.004411199],"genre_scores_gemma":[0.4744803,0.0010892159,0.51958144,0.00023945812,0.000035891015,0.00049468304,0.0006763766,0.0005956612,0.0028069692],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99909496,0.00038578256,0.00007733906,0.00006412,0.00034345407,0.000034357643],"domain_scores_gemma":[0.99793386,0.0012500843,0.000091376896,0.00028573492,0.00036698644,0.00007201679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025297212,0.00068857294,0.00076925335,0.0007874494,0.00018392797,0.0011468722,0.0007374922,0.0014828418,0.004242377],"category_scores_gemma":[0.007530583,0.00044840964,0.0005451272,0.00052054384,0.0005818066,0.0006284281,0.0006407089,0.00097502244,0.001165157],"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":[0.0028584858,0.0012638659,0.014370139,0.0010187415,0.0003907435,0.0022574216,0.0010611082,0.22923851,0.10863337,0.0058453637,0.0060981084,0.6269642],"study_design_scores_gemma":[0.00043306153,0.0035356074,0.0102342395,0.00014638445,0.00020812015,0.0075914767,0.00022867338,0.84626365,0.11818005,0.0032649804,0.009700165,0.00021351528],"about_ca_topic_score_codex":0.00087023305,"about_ca_topic_score_gemma":0.0006574393,"teacher_disagreement_score":0.004242377,"about_ca_system_score_codex":0.00040940059,"about_ca_system_score_gemma":0.0003665013,"threshold_uncertainty_score":0.014192224},"labels":[],"label_agreement":null},{"id":"W2061419850","doi":"10.1016/j.mineng.2003.10.006","title":"Estimating true level in a thickener using a conductivity probe","year":2003,"lang":"en","type":"article","venue":"Minerals Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Conductivity; Conductance; Scale (ratio); Materials science; Analytical Chemistry (journal); Environmental science; Mathematics; Chemistry; Physics; Chromatography; Physical chemistry; Combinatorics","score_opus":0.03423381964444164,"score_gpt":0.23049419456749817,"score_spread":0.19626037492305654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061419850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53716624,0.00018859687,0.46063536,0.000106297346,0.000013366864,0.000020586253,0.00009295775,0.0005142663,0.0012623573],"genre_scores_gemma":[0.90413404,0.000109782726,0.0945821,0.000050886203,0.000006087183,0.000016411195,0.00004900866,0.000042851458,0.0010087949],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997085,0.000041505395,0.000015134575,0.00009717127,0.00011601409,0.000021731132],"domain_scores_gemma":[0.9994287,0.00028099064,0.00009257556,0.000077160345,0.0000903925,0.000030089728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000377657,0.00043563184,0.00041607482,0.0006425946,0.00032750468,0.0009516607,0.00055095495,0.0015646382,0.00076880015],"category_scores_gemma":[0.0012797244,0.00045123833,0.00024838376,0.00041144216,0.0007732066,0.0021890379,0.00080600986,0.00067486323,0.00026626684],"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":[0.0005641274,0.00009145612,0.01254551,0.0001201234,0.00004991449,0.00032300493,0.00030508783,0.034244955,0.90542483,0.0018296754,0.000125744,0.044375557],"study_design_scores_gemma":[0.00006695771,0.00072295644,0.02400414,0.000039312516,0.00016324464,0.0009799678,0.00035328697,0.3203479,0.6463022,0.0053838505,0.0015214152,0.000114679526],"about_ca_topic_score_codex":0.0003893525,"about_ca_topic_score_gemma":0.0007838293,"teacher_disagreement_score":0.0015646382,"about_ca_system_score_codex":0.00030122718,"about_ca_system_score_gemma":0.00028562875,"threshold_uncertainty_score":0.0025719404},"labels":[],"label_agreement":null},{"id":"W2068006339","doi":"10.1080/09349840109409693","title":"Ultrasonic Tomographic Imaging of an Encased, Highly Attenuating Solid Medium","year":2001,"lang":"en","type":"article","venue":"Research in Nondestructive Evaluation","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bombardier Recreational Products (Canada); Defence Research and Development Canada","funders":"","keywords":"Materials science; Propellant; Ultrasonic sensor; Tomographic reconstruction; Attenuation; SIGNAL (programming language); Solid-fuel rocket; Transducer; Acoustics; Tomography; Optics; Physics; Computer science","score_opus":0.057518057906014955,"score_gpt":0.38533162282588934,"score_spread":0.3278135649198744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068006339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984071,0.0003505329,0.013965648,0.00005723908,0.000009821558,0.000027984699,0.00006834705,0.00008014674,0.0013693013],"genre_scores_gemma":[0.96861255,0.00024332663,0.029704997,0.000019590436,0.000007889726,0.000013894229,0.00007348112,0.000017893843,0.001306399],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993706,0.000010112699,0.0000026766768,0.000009267553,0.00003135896,0.000009532564],"domain_scores_gemma":[0.99973625,0.00013046617,0.00004080226,0.000028690869,0.00003248628,0.000031230255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017200907,0.00024688497,0.000117434225,0.00036926736,0.00013476345,0.00021829618,0.00018691242,0.0003010704,0.0010310467],"category_scores_gemma":[0.00039847888,0.00019892691,0.000074913274,0.000177603,0.000461877,0.0002078488,0.00018671613,0.00021033586,0.00016272927],"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":[0.00009944737,0.000011660426,0.0002769322,0.000024261428,0.000003069959,0.00033865383,0.00002238519,0.00040069647,0.99687344,0.00011077209,0.000017629316,0.0018210298],"study_design_scores_gemma":[0.00006324619,0.0006567717,0.017458523,0.000025245756,0.00004642732,0.005383743,0.000093373455,0.011827658,0.962137,0.0001353341,0.0021496313,0.000023078797],"about_ca_topic_score_codex":0.00052800105,"about_ca_topic_score_gemma":0.0008068079,"teacher_disagreement_score":0.0010310467,"about_ca_system_score_codex":0.00014766095,"about_ca_system_score_gemma":0.00020127956,"threshold_uncertainty_score":0.0034492016},"labels":[],"label_agreement":null},{"id":"W2071626496","doi":"10.1088/1742-6596/434/1/012006","title":"Electrical localization of weakly electric fish using neural networks","year":2013,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Electrical and Bioimpedance Tomography","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; Carleton University","funders":"","keywords":"Tracking (education); Imaging phantom; Image resolution; Voltage; Computer science; Artificial intelligence; Engineering; Physics; Electrical engineering; Optics","score_opus":0.01158658598226617,"score_gpt":0.20293102933370516,"score_spread":0.191344443351439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071626496","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13419081,0.000810973,0.8612991,0.00021474222,0.0000598264,0.000045444565,0.000073303294,0.0008112144,0.0024945766],"genre_scores_gemma":[0.89683276,0.00046695644,0.098285265,0.000088630644,0.00003393193,0.00012934048,0.00014622396,0.00003564344,0.0039812387],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998722,0.00002783132,0.000008659854,0.000047904112,0.000024259658,0.000018978786],"domain_scores_gemma":[0.99967945,0.0001752144,0.00005260805,0.00001386021,0.000067871195,0.000011033264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003633051,0.0006553056,0.00038971196,0.00041205387,0.00019635199,0.00051959156,0.0005805469,0.00072420813,0.0006406933],"category_scores_gemma":[0.0010016847,0.00035141298,0.0004907271,0.00043109243,0.00028397187,0.0005142493,0.00047650974,0.0005274234,0.00018660918],"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":[0.00004985596,0.000027063286,0.0009826405,0.000031696996,0.000025841287,0.00003033191,0.00003328692,0.94089663,0.0039172852,0.0004987724,0.0001483617,0.053358212],"study_design_scores_gemma":[8.2005187e-7,0.0000072545017,0.00011595928,0.0000022069682,0.0000023199343,0.000002194058,0.0000027528731,0.9993143,0.0003150135,0.0001922587,0.00004322747,0.0000017049217],"about_ca_topic_score_codex":0.009337272,"about_ca_topic_score_gemma":0.0071050455,"teacher_disagreement_score":0.009337272,"about_ca_system_score_codex":0.00062396104,"about_ca_system_score_gemma":0.00035881187,"threshold_uncertainty_score":0.018565834},"labels":[],"label_agreement":null},{"id":"W2074149065","doi":"10.1007/s10973-010-1261-3","title":"Absolute measurement of thermal conductivity of poly (acrylic acid) by transient hot wire technique","year":2011,"lang":"en","type":"article","venue":"Journal of Thermal Analysis and Calorimetry","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal conductivity; Materials science; Tantalum pentoxide; Thermal conductivity measurement; Composite material; Conductivity; Tantalum; Transient (computer programming); Thermal conduction; Thermal; Analytical Chemistry (journal); Chemistry; Thermodynamics; Chromatography; Metallurgy","score_opus":0.01674908312122467,"score_gpt":0.2036915774221191,"score_spread":0.18694249430089444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074149065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7941348,0.0013148092,0.1980998,0.00018558349,0.00015044051,0.000061480845,0.00042707837,0.0006627,0.0049632355],"genre_scores_gemma":[0.97591,0.0003140676,0.02190044,0.000023291506,0.000018430597,0.00004275837,0.00011063021,0.0000435921,0.0016368481],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999539,0.000094693474,0.000022701002,0.00013835385,0.00016209068,0.00004317357],"domain_scores_gemma":[0.99942964,0.00018744952,0.00010686032,0.00013338434,0.00011276715,0.000029878212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039023877,0.00027843946,0.00023183269,0.0003843322,0.00026087623,0.00043084062,0.0005067091,0.00040420223,0.0011625085],"category_scores_gemma":[0.000596513,0.000229817,0.00017743577,0.00047080958,0.0005211766,0.0007481884,0.0002457605,0.00074446655,0.0002806746],"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":[0.00007508063,0.000010051148,0.0003977572,0.0000406756,0.0000037500306,0.000022765735,0.000036711896,0.00010691277,0.995118,0.00030824856,0.000051881947,0.0038281186],"study_design_scores_gemma":[0.0000028984578,0.000084509855,0.001506044,0.000002182359,0.000008385215,0.000066015295,0.000020291938,0.00191681,0.99596524,0.000058262794,0.00036483194,0.0000044444737],"about_ca_topic_score_codex":0.00022122245,"about_ca_topic_score_gemma":0.0004384105,"teacher_disagreement_score":0.0011625085,"about_ca_system_score_codex":0.00034802748,"about_ca_system_score_gemma":0.00031016988,"threshold_uncertainty_score":0.0038889647},"labels":[],"label_agreement":null},{"id":"W2074392327","doi":"10.1111/j.1749-6632.2000.tb06455.x","title":"The Effect of Electrode Placement in Measuring Ipsilateral/Contralateral Segmental Bioelectrical Impedance","year":2000,"lang":"en","type":"article","venue":"Annals of the New York Academy of Sciences","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Cornish; Library science; Engineering; Geography; Archaeology; Computer science","score_opus":0.023218766595013617,"score_gpt":0.2673724440891647,"score_spread":0.2441536774941511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074392327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8647282,0.005570704,0.12157631,0.00072745356,0.00089971395,0.00032469496,0.00036976676,0.0004252431,0.005377826],"genre_scores_gemma":[0.94746286,0.0013675592,0.048497505,0.00047333256,0.0003630818,0.00013845053,0.00017939517,0.0003671743,0.0011505965],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99186474,0.005741967,0.00059487956,0.00070254825,0.00086588395,0.00022998726],"domain_scores_gemma":[0.92657214,0.066846035,0.0014447476,0.002809224,0.0018920851,0.00043571775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010007602,0.0012860787,0.0007210362,0.00068203633,0.0003891304,0.0010761352,0.00074983574,0.0021833729,0.0018581835],"category_scores_gemma":[0.04700394,0.0010669443,0.0005816538,0.00080076815,0.0013680422,0.0011937176,0.00059131114,0.001056789,0.0005442431],"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":[0.06140607,0.0007381676,0.030040836,0.001228147,0.000479021,0.0010390342,0.0007099194,0.005887897,0.7809431,0.0007913562,0.00054649863,0.11618995],"study_design_scores_gemma":[0.001596128,0.032790452,0.21155286,0.00027722144,0.004003686,0.006999637,0.00040185967,0.027542373,0.7089987,0.001130128,0.00455416,0.00015281484],"about_ca_topic_score_codex":0.0008856404,"about_ca_topic_score_gemma":0.0019153785,"teacher_disagreement_score":0.010007602,"about_ca_system_score_codex":0.00030539028,"about_ca_system_score_gemma":0.00054759305,"threshold_uncertainty_score":0.052925885},"labels":[],"label_agreement":null},{"id":"W2075225575","doi":"10.1088/0967-3334/32/7/s09","title":"Evaluation of EIT system performance","year":2011,"lang":"es","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":67,"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":"Electrical impedance tomography; Computer science; Imaging phantom; Calibration; Noise (video); Software; Position (finance); Set (abstract data type); Controller (irrigation); Electronic engineering; Computer vision; Electrical impedance; Artificial intelligence; Image (mathematics); Engineering; Optics; Electrical engineering; Physics","score_opus":0.21194400282328882,"score_gpt":0.2497254463499755,"score_spread":0.03778144352668669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075225575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5971715,0.0017872462,0.385713,0.00054333184,0.00027270085,0.00082192593,0.0014190389,0.0061007314,0.00617052],"genre_scores_gemma":[0.8845522,0.0006693487,0.108014375,0.00023083005,0.000063915635,0.00042204908,0.0017179791,0.0006459475,0.0036833792],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996992,0.00076635735,0.00044001508,0.0004530882,0.0011514699,0.00019716883],"domain_scores_gemma":[0.98377925,0.008303297,0.0007544867,0.0015858397,0.0053022183,0.0002749248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060104914,0.00084026984,0.0009250794,0.001535921,0.0005991268,0.0019900203,0.0010831273,0.0013627445,0.0042150076],"category_scores_gemma":[0.023871345,0.00030207698,0.00037814764,0.0012613625,0.00058576517,0.0018739935,0.0013387952,0.0005211614,0.0014096891],"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":[0.00873403,0.0006445781,0.033543903,0.0021445896,0.00065043574,0.0010203752,0.0015715453,0.09263911,0.40422294,0.004040175,0.006184159,0.44460416],"study_design_scores_gemma":[0.00027741422,0.007324745,0.04366702,0.00016559781,0.00054318743,0.0027616222,0.0006404235,0.33698088,0.590034,0.0016776704,0.015590205,0.0003372046],"about_ca_topic_score_codex":0.0010606671,"about_ca_topic_score_gemma":0.0005864243,"teacher_disagreement_score":0.0060104914,"about_ca_system_score_codex":0.00071259774,"about_ca_system_score_gemma":0.0005953472,"threshold_uncertainty_score":0.03178686},"labels":[],"label_agreement":null},{"id":"W2077485693","doi":"10.1088/0967-3334/32/7/s02","title":"The impact of electrode area, contact impedance and boundary shape on EIT images","year":2011,"lang":"ar","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":95,"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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance tomography; Electrode; Electrical impedance; Materials science; Electrode array; Acoustics; Iterative reconstruction; Noise (video); Image (mathematics); Computer vision; Computer science; Physics; Electrical engineering; Engineering","score_opus":0.06931565882015106,"score_gpt":0.25102126619867704,"score_spread":0.18170560737852598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077485693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7543402,0.0007634682,0.24212393,0.00022676596,0.000051449664,0.0000662438,0.00013011199,0.00037268648,0.0019251757],"genre_scores_gemma":[0.95884675,0.00042530283,0.039752793,0.000056706718,0.000007865604,0.000019459001,0.00008078811,0.00016045764,0.00064985495],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992642,0.00021334735,0.00005980163,0.000093060495,0.00032887698,0.000040743693],"domain_scores_gemma":[0.9940766,0.0046580783,0.00038685702,0.00051315734,0.0002907305,0.0000745291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016159981,0.00042614815,0.00042554797,0.00047430754,0.00017769396,0.0012105862,0.00034784997,0.0006233515,0.00091645645],"category_scores_gemma":[0.015829308,0.00033549484,0.00029432733,0.00040766614,0.0007881134,0.0008209,0.00047552647,0.0005016228,0.00020731303],"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":[0.0018917125,0.00008680666,0.012114225,0.00050788757,0.00012410917,0.0018901563,0.00097585074,0.12634672,0.76969266,0.002910174,0.00029000588,0.08316958],"study_design_scores_gemma":[0.000044072563,0.00060676725,0.029096726,0.00007737832,0.00017576397,0.005299717,0.00030461184,0.27900916,0.6807787,0.0024263978,0.0020798375,0.0001008784],"about_ca_topic_score_codex":0.0004960121,"about_ca_topic_score_gemma":0.0006026226,"teacher_disagreement_score":0.0016159981,"about_ca_system_score_codex":0.00029853938,"about_ca_system_score_gemma":0.0002412335,"threshold_uncertainty_score":0.008546352},"labels":[],"label_agreement":null},{"id":"W2080671797","doi":"10.1002/cjce.5450850105","title":"Measuring Flow Velocity and Uniformity in a Model Batch Digester Using Electrical Resistance Tomography","year":2007,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reynolds number; Flow (mathematics); Materials science; Electrical resistance and conductance; Mechanics; Flow velocity; Tomography; Flow resistance; Point (geometry); Environmental science; Composite material; Mathematics; Physics; Geometry; Turbulence; Optics","score_opus":0.011830710538341699,"score_gpt":0.17883389406195882,"score_spread":0.16700318352361712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080671797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987701,0.000046441444,0.011812679,0.000013566951,0.0000027281878,0.000027334787,0.000081243255,0.00011589713,0.0001991589],"genre_scores_gemma":[0.98211837,0.000055873712,0.017208068,0.000006630268,0.0000015182807,0.000026161446,0.0000946826,0.000014184962,0.00047455006],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997639,0.00003189834,0.000014318762,0.000074250085,0.000088859364,0.00002679565],"domain_scores_gemma":[0.9995441,0.00021310447,0.00008172321,0.000053328633,0.00008051354,0.000027181757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006602936,0.0002583816,0.0003172005,0.00036094448,0.000269073,0.00036849585,0.0004201098,0.00042808437,0.00054688624],"category_scores_gemma":[0.0008915696,0.00021853065,0.00023299297,0.00032378602,0.00043040238,0.0003620333,0.00023098348,0.00033652212,0.00009656401],"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":[0.00021667367,0.00006962324,0.0031736451,0.00001995329,0.0000045557017,0.000038208535,0.00008053494,0.0027207294,0.99047124,0.000077390556,0.000023938788,0.0031034776],"study_design_scores_gemma":[0.000028518198,0.0007922516,0.023168646,0.0000044625244,0.000018383293,0.00009536676,0.00008216379,0.046066128,0.92938966,0.000050743954,0.00028062268,0.000023137864],"about_ca_topic_score_codex":0.0026654748,"about_ca_topic_score_gemma":0.0021933988,"teacher_disagreement_score":0.0026654748,"about_ca_system_score_codex":0.00051358383,"about_ca_system_score_gemma":0.00036033883,"threshold_uncertainty_score":0.005299866},"labels":[],"label_agreement":null},{"id":"W2081174956","doi":"10.1049/iet-smt.2013.0087","title":"Pilot study: electrical impedance based tissue classification using support vector machine classifier","year":2014,"lang":"en","type":"article","venue":"IET Science Measurement & Technology","topic":"Electrical and Bioimpedance Tomography","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":"Simon Fraser University","funders":"","keywords":"Support vector machine; Classifier (UML); Computer science; Pattern recognition (psychology); Artificial intelligence; Electrical impedance; Engineering; Electrical engineering","score_opus":0.050707046489592504,"score_gpt":0.27022446053771976,"score_spread":0.21951741404812725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081174956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9368575,0.00024355402,0.058549542,0.00043549863,0.00017202036,0.0007968332,0.00060806365,0.00057537376,0.0017616397],"genre_scores_gemma":[0.94431204,0.00016940697,0.050708205,0.00013455442,0.00006374646,0.00047571026,0.0008334079,0.000027488275,0.0032754699],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994615,0.00017416157,0.000046168036,0.000108516055,0.00015466544,0.00005508433],"domain_scores_gemma":[0.9979646,0.00068535376,0.000058849924,0.00018726652,0.0009820516,0.00012181295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014492976,0.00041792248,0.0006064562,0.0004791442,0.00023584104,0.00044168893,0.00059326296,0.00065051427,0.0029474138],"category_scores_gemma":[0.0026131286,0.00013095436,0.00036898375,0.00032603863,0.0002616539,0.00058123487,0.00029179206,0.00037429002,0.00083012495],"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":[0.006038478,0.008802862,0.09138504,0.0008126671,0.0002729953,0.0017593146,0.0009681071,0.027940074,0.25294408,0.0012985058,0.010049733,0.5977282],"study_design_scores_gemma":[0.0014173767,0.051381703,0.16210595,0.00013552714,0.0004056138,0.0036796173,0.0018174449,0.5492571,0.21305585,0.0013437881,0.015229046,0.00017105152],"about_ca_topic_score_codex":0.0014456331,"about_ca_topic_score_gemma":0.0011448925,"teacher_disagreement_score":0.0029474138,"about_ca_system_score_codex":0.00017241959,"about_ca_system_score_gemma":0.0003322623,"threshold_uncertainty_score":0.009860098},"labels":[],"label_agreement":null},{"id":"W2081986338","doi":"10.1109/iembs.2010.5627204","title":"Electrical impedance tomography reconstruction using a monotonicity approach based on a priori knowledge","year":2010,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; CancerCare Manitoba","funders":"","keywords":"Electrical impedance tomography; Microwave imaging; Iterative reconstruction; A priori and a posteriori; Monotonic function; Computer science; Regularization (linguistics); Tomography; Breast imaging; Algorithm; Artificial intelligence; Computer vision; Mathematics; Mammography; Microwave; Physics; Optics; Telecommunications","score_opus":0.008484288952452224,"score_gpt":0.21906560531735342,"score_spread":0.21058131636490118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081986338","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013400473,0.000090574686,0.9856839,0.00007205367,0.0000054422194,0.000014785855,0.000023189517,0.00011006336,0.0005994903],"genre_scores_gemma":[0.24804822,0.0005456008,0.7495133,0.00007046156,0.000033762655,0.00006885933,0.00017877827,0.00008571897,0.0014551984],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99974614,0.00008820675,0.000019633106,0.000037449234,0.000092880655,0.000015650847],"domain_scores_gemma":[0.9989153,0.00059708476,0.00013372036,0.00013661534,0.0001927291,0.000024633751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094978476,0.00058287114,0.0004643186,0.0007132106,0.0001901557,0.000672063,0.00053908513,0.000622625,0.0009347168],"category_scores_gemma":[0.0030920485,0.00038258338,0.00052453286,0.00043209878,0.00045974154,0.0011802696,0.00063652475,0.0006673695,0.0003110476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003714929,0.00014317213,0.0044422806,0.00045008835,0.00014093955,0.00053856295,0.00023024202,0.2745048,0.2899138,0.02977315,0.0009380485,0.3985534],"study_design_scores_gemma":[0.000017291504,0.00010094913,0.0011826927,0.000015939511,0.000020693387,0.0005119384,0.00002530737,0.95507306,0.037821546,0.0037403316,0.0014634838,0.000026834707],"about_ca_topic_score_codex":0.00044961876,"about_ca_topic_score_gemma":0.0007150934,"teacher_disagreement_score":0.00094978476,"about_ca_system_score_codex":0.00017372046,"about_ca_system_score_gemma":0.0004044088,"threshold_uncertainty_score":0.0050230026},"labels":[],"label_agreement":null},{"id":"W2082083387","doi":"10.1109/ccece.2012.6334971","title":"2.5D finite element method for electrical impedance tomography considering the complete electrode model","year":2012,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Finite element method; Electrical impedance tomography; Electrical impedance; Mixed finite element method; Extended finite element method; Computer science; Invariant (physics); Boundary value problem; Mathematical analysis; Applied mathematics; Algorithm; Mathematics; Structural engineering; Engineering; Electrical engineering","score_opus":0.031168882117342547,"score_gpt":0.26399373857350267,"score_spread":0.23282485645616013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082083387","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011765609,0.000100387595,0.9968888,0.00004211068,0.00002240548,0.000019106592,0.000052854608,0.000118846,0.0015788306],"genre_scores_gemma":[0.091101,0.0006048448,0.90082574,0.00013789684,0.000046019934,0.0004027802,0.0003262157,0.00011478457,0.006440741],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997392,0.00008370796,0.000013893264,0.000030629308,0.0001204187,0.0000121530575],"domain_scores_gemma":[0.9998216,0.000084275176,0.000014507421,0.00002567739,0.000046427154,0.000007492691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032922297,0.00055432855,0.00068400736,0.00043601068,0.00021448529,0.00053309643,0.0010803733,0.001388093,0.003994848],"category_scores_gemma":[0.00084107,0.00034511747,0.0006131957,0.00038429996,0.00034564626,0.0006823722,0.0006691569,0.0007563348,0.0020074397],"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":[0.00006470804,0.00006493206,0.0006242419,0.0003628347,0.000038677495,0.00028390397,0.00022006509,0.7670418,0.046151966,0.06835677,0.0028515665,0.11393849],"study_design_scores_gemma":[0.000005037718,0.000015644277,0.0000656017,0.000018504941,0.000004050322,0.000087350025,0.000010229295,0.98939604,0.0016122473,0.0030918475,0.0056841914,0.000009180628],"about_ca_topic_score_codex":0.0011780008,"about_ca_topic_score_gemma":0.0013364232,"teacher_disagreement_score":0.003994848,"about_ca_system_score_codex":0.00027574695,"about_ca_system_score_gemma":0.0004981359,"threshold_uncertainty_score":0.013364136},"labels":[],"label_agreement":null},{"id":"W2082188316","doi":"10.1002/cjce.5450830108","title":"Flow Uniformity in a Model Digester Measured with Electrical Resistance Tomography","year":2008,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"U.S. Department of Energy","keywords":"Physics; Flow resistance; Humanities; Flow (mathematics); Mechanics; Art","score_opus":0.0069683414446933085,"score_gpt":0.15218538236429527,"score_spread":0.14521704091960197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082188316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99288577,0.000033898894,0.006532566,0.000012892584,0.0000016127453,0.000015029852,0.000098972225,0.000057779012,0.00036151768],"genre_scores_gemma":[0.9892033,0.00008481096,0.009574505,0.0000061598016,7.0751196e-7,0.000027734537,0.00013630668,0.000012560065,0.00095398887],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999052,0.00001248507,0.0000060795173,0.000037063197,0.000022613667,0.00001650546],"domain_scores_gemma":[0.9997727,0.00013324486,0.000036984704,0.000019267323,0.000024434046,0.000013343909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030756913,0.00025772615,0.00034231858,0.00017589529,0.00024028658,0.0005720338,0.0003217787,0.00043928833,0.0008263797],"category_scores_gemma":[0.0005360339,0.00020164935,0.00027051423,0.00024082995,0.0003706819,0.0004639237,0.00024863656,0.00028520805,0.00009819579],"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":[0.00048214596,0.00012003165,0.009179489,0.00009941241,0.000018119095,0.00012942523,0.0002569452,0.19182569,0.7909103,0.0005155076,0.00006199766,0.006400953],"study_design_scores_gemma":[0.000108572225,0.0010090473,0.021227753,0.000015257897,0.000040789902,0.00009101592,0.00024384713,0.5552551,0.42056015,0.00025050648,0.0011498882,0.000048032234],"about_ca_topic_score_codex":0.005193636,"about_ca_topic_score_gemma":0.004095747,"teacher_disagreement_score":0.005193636,"about_ca_system_score_codex":0.00070504064,"about_ca_system_score_gemma":0.00051264913,"threshold_uncertainty_score":0.010326862},"labels":[],"label_agreement":null},{"id":"W2082772801","doi":"10.1159/000103705","title":"The Impedance Profile of the Human Brain as a Localization Technique in Stereoencephalotomy","year":2007,"lang":"en","type":"article","venue":"Confinia Neurologica","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"","keywords":"Human brain; Neuroscience; Medicine; Biomedical engineering; Computer science; Psychology","score_opus":0.007042073916212988,"score_gpt":0.22873327611765415,"score_spread":0.22169120220144117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082772801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81708956,0.0019163715,0.17362075,0.00027270647,0.00006514715,0.00007700098,0.00033142022,0.0002353389,0.006391653],"genre_scores_gemma":[0.9935267,0.0004784274,0.00512388,0.000028324386,0.000015142038,0.00001435384,0.000044482775,0.000029611238,0.0007390599],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983597,0.00007001592,0.000006751315,0.000016984528,0.000056875986,0.000013309509],"domain_scores_gemma":[0.99965453,0.00023267497,0.000030208532,0.000023361205,0.00004039612,0.000018914312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027073588,0.00020633687,0.00016594066,0.00045325203,0.00010341001,0.00042255403,0.00024774895,0.00039848668,0.0008852282],"category_scores_gemma":[0.0015240366,0.00013658823,0.00011808145,0.00045490483,0.00040459292,0.00059685414,0.00022881736,0.00024329178,0.00028178142],"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":[0.005714443,0.00007557982,0.01266642,0.00040991852,0.000043272434,0.0027525497,0.0013346878,0.010082235,0.77255213,0.0037731626,0.00067327585,0.18992236],"study_design_scores_gemma":[0.00020843113,0.005249408,0.1780756,0.0002562704,0.0002957001,0.027837932,0.0023751426,0.09455663,0.66457295,0.012703763,0.013709648,0.00015860308],"about_ca_topic_score_codex":0.00039320692,"about_ca_topic_score_gemma":0.0004487004,"teacher_disagreement_score":0.0008852282,"about_ca_system_score_codex":0.00013838637,"about_ca_system_score_gemma":0.00015070703,"threshold_uncertainty_score":0.0029613376},"labels":[],"label_agreement":null},{"id":"W2085176141","doi":"10.1021/ie800810t","title":"Monitoring Filtration in Trickle Beds Using Electrical Capacitance Tomography","year":2008,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":42,"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 Laval","funders":"Natural Resources Canada; Canadian Natural Resources Limited","keywords":"Electrical capacitance tomography; TRICKLE; Superficial velocity; Deposition (geology); Filtration (mathematics); Trickle-bed reactor; Suspension (topology); Porosity; Materials science; Capacitance; Flow (mathematics); Tube (container); Residence time distribution; Two-phase flow; Mechanics; Chemistry; Composite material; Geology; Electrode","score_opus":0.11477304467506846,"score_gpt":0.303971041745789,"score_spread":0.18919799707072052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085176141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860313,0.00030647963,0.0130165,0.0000345879,0.0000090379235,0.000017560606,0.000087052635,0.000107004904,0.00039044837],"genre_scores_gemma":[0.99001163,0.0003588271,0.008773773,0.000035826884,0.0000072340454,0.000017816341,0.0001052024,0.000014012159,0.0006756106],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998311,0.00001872204,0.000007218491,0.000037891798,0.000073346324,0.000031708732],"domain_scores_gemma":[0.99957925,0.00018704575,0.000077992496,0.000024966443,0.00009382013,0.000036891885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025134467,0.00029973433,0.0003215236,0.00038474094,0.0003094787,0.0003743901,0.0003268409,0.00039161838,0.00052548916],"category_scores_gemma":[0.00072402833,0.00016224696,0.00013569742,0.0003486729,0.00034274702,0.00066839077,0.00034463758,0.00047525705,0.000110656336],"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":[0.00010386725,0.000017331065,0.0014077162,0.00004300571,0.0000036677634,0.000096805416,0.000052827658,0.00046806928,0.9933037,0.000056452256,0.00003824311,0.004408359],"study_design_scores_gemma":[0.000008766601,0.00026501197,0.010336844,0.0000047598955,0.0000088132,0.00016380347,0.00007190179,0.008951055,0.9797183,0.00005385853,0.00040077028,0.000016187649],"about_ca_topic_score_codex":0.0016649821,"about_ca_topic_score_gemma":0.0019763599,"teacher_disagreement_score":0.0016649821,"about_ca_system_score_codex":0.00037625406,"about_ca_system_score_gemma":0.00022452851,"threshold_uncertainty_score":0.0033106208},"labels":[],"label_agreement":null},{"id":"W2085203018","doi":"10.1016/j.cej.2012.09.050","title":"ECT imaging and CFD simulation of different cyclic modulation strategies for the catalytic abatement of hazardous liquid pollutants in trickle-bed reactors","year":2012,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Computational fluid dynamics; Pollutant; Hazardous waste; Volumetric flow rate; TRICKLE; Flow (mathematics); Mechanics; Chemistry; Catalysis; Nuclear engineering; Materials science; Waste management; Physics; Engineering; Computer science; Organic chemistry","score_opus":0.009476067837238042,"score_gpt":0.22638680441020592,"score_spread":0.2169107365729679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085203018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844565,0.00018506622,0.010053053,0.00016895801,0.000022923974,0.000024006002,0.00017660405,0.00014142573,0.0047716144],"genre_scores_gemma":[0.9973109,0.00005851135,0.0018395258,0.000013734978,0.0000023174748,0.000010116455,0.000045498684,0.000010484925,0.0007090875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994683,0.000009691791,0.0000037172547,0.000008527923,0.00001661569,0.000014739525],"domain_scores_gemma":[0.9996693,0.00022662741,0.000025812902,0.000014663115,0.00004574087,0.000017824792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015880966,0.00028210157,0.0003076049,0.00032874814,0.00026887684,0.0004354977,0.0005226775,0.0010115452,0.0022525599],"category_scores_gemma":[0.0006605381,0.00021466512,0.00032790675,0.0003065764,0.0003428176,0.0004199969,0.00021154038,0.00035528364,0.00011245971],"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":[0.00040721707,0.00020565458,0.0032129593,0.00009837113,0.000014360858,0.00018957428,0.00008777432,0.9468809,0.036883645,0.00095165835,0.00038099146,0.0106869275],"study_design_scores_gemma":[0.000013600782,0.000054688557,0.0010118423,0.0000026306343,0.00000499927,0.0000102914055,0.000021970645,0.99142355,0.00726524,0.00006604492,0.000118732554,0.000006353292],"about_ca_topic_score_codex":0.008775951,"about_ca_topic_score_gemma":0.0054090675,"teacher_disagreement_score":0.008775951,"about_ca_system_score_codex":0.0005134854,"about_ca_system_score_gemma":0.00044139492,"threshold_uncertainty_score":0.017449737},"labels":[],"label_agreement":null},{"id":"W2087652213","doi":"10.1007/s10836-009-5125-3","title":"Applications for Low Frequency Impedance Analysis Systems","year":2009,"lang":"en","type":"article","venue":"Journal of Electronic Testing","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thames Valley Children's Centre; Simon Fraser University","funders":"","keywords":"Instrumentation (computer programming); Electrical impedance; Electronic engineering; Electrical conductor; Electrical engineering; Computer science; Materials science; Engineering","score_opus":0.006762265601904397,"score_gpt":0.22538414293133752,"score_spread":0.2186218773294331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087652213","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015175649,0.002712011,0.9566773,0.00077043165,0.00033200916,0.00008370564,0.00013397532,0.0028025983,0.021312231],"genre_scores_gemma":[0.5580514,0.0042853844,0.3795703,0.0008374127,0.0007225117,0.00025660446,0.0003933001,0.0006071131,0.055275925],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993389,0.00018962471,0.00004115202,0.00010904933,0.00029023993,0.00003102217],"domain_scores_gemma":[0.9981402,0.0009121376,0.00009995402,0.0002806458,0.00050714536,0.000059919676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047114267,0.0010336968,0.00065005035,0.0010541058,0.00046088986,0.0015495,0.0009175551,0.0015104976,0.016048035],"category_scores_gemma":[0.002651339,0.00033927057,0.00036159853,0.0011879083,0.00047269827,0.0012527066,0.0009092167,0.00072026637,0.007358156],"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":[0.00043103742,0.00013391174,0.0027709082,0.0007419051,0.00006336507,0.000699456,0.0006090074,0.016556136,0.2868001,0.029423453,0.008070395,0.6537003],"study_design_scores_gemma":[0.00014351025,0.00081069226,0.0044885552,0.0004962633,0.00028597502,0.0042431867,0.00068647385,0.3788012,0.27215567,0.08062958,0.25708133,0.000177577],"about_ca_topic_score_codex":0.00039451956,"about_ca_topic_score_gemma":0.00045655976,"teacher_disagreement_score":0.016048035,"about_ca_system_score_codex":0.00026249874,"about_ca_system_score_gemma":0.00021373629,"threshold_uncertainty_score":0.053686082},"labels":[],"label_agreement":null},{"id":"W2088652540","doi":"10.1088/0967-3334/31/8/s12","title":"Approaches for improving image quality in magnetic induction tomography","year":2010,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Engineering and Physical Sciences Research Council","keywords":"Image quality; Computer science; Computed tomography; Quality (philosophy); Tomography; Image (mathematics); Artificial intelligence; Computer vision; Medicine; Radiology; Physics","score_opus":0.08865165885010544,"score_gpt":0.24944547399846764,"score_spread":0.16079381514836222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088652540","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035041388,0.00074282783,0.96298283,0.00021801217,0.000018587014,0.000047634876,0.00002526648,0.00044735768,0.00047603747],"genre_scores_gemma":[0.1769549,0.00081987353,0.8209014,0.00012576107,0.000035812824,0.0000826064,0.00011640841,0.00024379166,0.000719386],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983883,0.00060487166,0.00010281802,0.00018955584,0.0006358102,0.00007865571],"domain_scores_gemma":[0.9949705,0.00279342,0.0005146337,0.00049484015,0.0011553933,0.000071205985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041185785,0.00080262026,0.0006559854,0.0011342235,0.00032589564,0.00093354244,0.0010113713,0.001352883,0.00081402995],"category_scores_gemma":[0.010954125,0.0004093522,0.0005748404,0.0008658148,0.0009886835,0.0010213105,0.0011138428,0.0011282724,0.00029170664],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066589675,0.00027446952,0.003379301,0.00073047046,0.00016454709,0.00020338941,0.00042232662,0.1801054,0.35594884,0.007986807,0.00097432605,0.44914424],"study_design_scores_gemma":[0.00005950404,0.00034866002,0.004009106,0.000079159785,0.00008016954,0.0005149157,0.000054481425,0.8229661,0.16482311,0.0042415895,0.0027532855,0.00006986979],"about_ca_topic_score_codex":0.0013235725,"about_ca_topic_score_gemma":0.0013627509,"teacher_disagreement_score":0.0041185785,"about_ca_system_score_codex":0.00069232326,"about_ca_system_score_gemma":0.0007926595,"threshold_uncertainty_score":0.021781385},"labels":[],"label_agreement":null},{"id":"W2089974647","doi":"10.1088/0967-3334/35/6/1035","title":"Choice of reconstructed tissue properties affects interpretation of lung EIT images","year":2014,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Iterative reconstruction; Linearization; Inverse problem; Electrical resistivity tomography; Reconstruction algorithm; Tomography; Algorithm; Electrical resistivity and conductivity; Computer science; Acoustics; Computer vision; Physics; Mathematics; Mathematical analysis; Optics","score_opus":0.02925399938903984,"score_gpt":0.22601698936460904,"score_spread":0.1967629899755692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089974647","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43147132,0.0012240318,0.56354624,0.00086254097,0.00010181891,0.00012390457,0.00019351875,0.0011160198,0.0013605239],"genre_scores_gemma":[0.77174133,0.0007517513,0.22577697,0.0002062468,0.000018064247,0.00005991909,0.00021706401,0.0006827865,0.00054591644],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985214,0.00080410496,0.00014406044,0.00019354308,0.00026508427,0.000071891984],"domain_scores_gemma":[0.9873411,0.01017434,0.00064826745,0.0010643972,0.0006608523,0.00011095331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00418426,0.000667159,0.0005774474,0.0005623485,0.0002684959,0.0018519873,0.00058573025,0.0012401609,0.0011973743],"category_scores_gemma":[0.031948827,0.0004162857,0.00045006818,0.00047377282,0.00091671274,0.0011231599,0.0005949609,0.0009724481,0.0004043188],"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":[0.002339527,0.00019226079,0.019016635,0.0008599574,0.00025009428,0.0013685562,0.0010974521,0.26655594,0.51763725,0.0055840923,0.0007101954,0.18438806],"study_design_scores_gemma":[0.00012164337,0.000579755,0.018749243,0.00018029698,0.00023957397,0.0031601833,0.0004210822,0.5639819,0.40448904,0.0048909998,0.0030044166,0.00018179095],"about_ca_topic_score_codex":0.0006504606,"about_ca_topic_score_gemma":0.0006288727,"teacher_disagreement_score":0.00418426,"about_ca_system_score_codex":0.00035447403,"about_ca_system_score_gemma":0.00044817288,"threshold_uncertainty_score":0.02212876},"labels":[],"label_agreement":null},{"id":"W2091765201","doi":"10.1002/ceat.200800362","title":"Measuring Mixing Time in the Agitation of Non‐Newtonian Fluids through Electrical Resistance Tomography","year":2008,"lang":"en","type":"article","venue":"Chemical Engineering & Technology","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","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":"Toronto Metropolitan University","funders":"","keywords":"Impeller; Shear thinning; Mixing (physics); Electrical resistance and conductance; Non-Newtonian fluid; Materials science; Mechanics; TRACER; Rheology; Newtonian fluid; Reynolds number; Tomography; Xanthan gum; Mechanical engineering; Composite material; Turbulence; Optics; Engineering; Physics","score_opus":0.006768977577147157,"score_gpt":0.17709866546123199,"score_spread":0.17032968788408484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091765201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.943986,0.000373187,0.05470802,0.000063470565,0.000015022507,0.0000367289,0.000041299827,0.0001625961,0.00061359146],"genre_scores_gemma":[0.95946956,0.00015793093,0.039454095,0.000017123803,0.000005864668,0.0000247344,0.000033579483,0.000026201182,0.0008109382],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979335,0.000057719353,0.000011076906,0.000045317014,0.00007133713,0.000021133177],"domain_scores_gemma":[0.99913615,0.00046691412,0.00020425026,0.000042827225,0.000105112755,0.00004469367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006424914,0.00026770783,0.0002156743,0.0003276049,0.00016455895,0.00030368974,0.00021994856,0.0003136359,0.00053942075],"category_scores_gemma":[0.0017737562,0.00018470177,0.00010587921,0.00022862131,0.00038278077,0.0005605894,0.00019346277,0.00042290764,0.00011618139],"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":[0.00015487945,0.000015512562,0.00089333963,0.000018982551,0.0000031193017,0.000049116086,0.000045567445,0.00045049327,0.99419373,0.00011235485,0.000025336138,0.0040375567],"study_design_scores_gemma":[0.000011030097,0.00024347044,0.0056517147,0.0000025695574,0.000010209075,0.00013696533,0.000033634202,0.018159175,0.9752357,0.000050897455,0.0004499451,0.000014743539],"about_ca_topic_score_codex":0.00041959272,"about_ca_topic_score_gemma":0.00036611073,"teacher_disagreement_score":0.0006424914,"about_ca_system_score_codex":0.00023334824,"about_ca_system_score_gemma":0.00019897336,"threshold_uncertainty_score":0.003397882},"labels":[],"label_agreement":null},{"id":"W2092836723","doi":"10.1088/0967-3334/27/5/s05","title":"A method for modelling and optimizing an electrical impedance tomography system","year":2006,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance tomography; Electrical impedance; Tomography; Electrical resistivity tomography; Computer science; Engineering; Electrical engineering; Medicine; Radiology; Electrical resistivity and conductivity","score_opus":0.043316727509903875,"score_gpt":0.24086477755255042,"score_spread":0.19754805004264656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092836723","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010588749,0.000027542288,0.99753344,0.000027935865,0.0000089787745,0.000019772126,0.000026239988,0.00022164044,0.001075482],"genre_scores_gemma":[0.093058325,0.00018089221,0.90125775,0.000039434693,0.000017790771,0.00026613937,0.00013638595,0.0001567622,0.00488658],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996438,0.000071301496,0.000015894318,0.0000678209,0.00018414899,0.00001713555],"domain_scores_gemma":[0.9997166,0.000101492806,0.000028993858,0.000044748303,0.00009945832,0.000008692063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047538462,0.00074923865,0.00045394167,0.00041213128,0.00035673592,0.0006925836,0.00074076996,0.0008393036,0.0034928455],"category_scores_gemma":[0.0011669652,0.00042431653,0.00059191027,0.00034794468,0.00038170905,0.00064784545,0.0004609498,0.00076103426,0.0011432742],"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":[0.00004426875,0.000027171416,0.0004232305,0.00016180796,0.000030457924,0.000111745125,0.00007821641,0.84785485,0.030974826,0.019491622,0.0019302974,0.09887157],"study_design_scores_gemma":[0.000009492658,0.000042821033,0.00012867234,0.00001215587,0.000014265656,0.000095467265,0.0000123733835,0.9806865,0.006387326,0.0034469564,0.009150277,0.000013698621],"about_ca_topic_score_codex":0.0032205302,"about_ca_topic_score_gemma":0.0031803483,"teacher_disagreement_score":0.0034928455,"about_ca_system_score_codex":0.00055258634,"about_ca_system_score_gemma":0.0011019339,"threshold_uncertainty_score":0.011684716},"labels":[],"label_agreement":null},{"id":"W2093495347","doi":"10.1109/tmi.2012.2200904","title":"Impact of Model Shape Mismatch on Reconstruction Quality in Electrical Impedance Tomography","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":90,"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":"Engineering and Physical Sciences Research Council","keywords":"Electrical impedance tomography; Iterative reconstruction; Modality (human–computer interaction); Tomography; Computer science; Computer vision; Reconstruction algorithm; Artificial intelligence; Electrical impedance; Algorithm; Image quality; Medical imaging; Image (mathematics); Radiology; Physics; Medicine","score_opus":0.015246189850175083,"score_gpt":0.2896930070911421,"score_spread":0.27444681724096703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093495347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71387184,0.0011395481,0.28247628,0.000348519,0.00007081238,0.00010874369,0.00023048477,0.00087436073,0.00087945536],"genre_scores_gemma":[0.9256551,0.00032837258,0.07304403,0.00008356042,0.000012460795,0.000030026948,0.00035303328,0.00018889249,0.00030440776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99645895,0.0013436358,0.0004694652,0.00041487886,0.0010874881,0.000225615],"domain_scores_gemma":[0.9608021,0.030756777,0.0025605762,0.002904855,0.0026532752,0.00032253208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008328442,0.0011457076,0.0009844009,0.0008861763,0.000539212,0.0015859485,0.00079944,0.001889741,0.0006487104],"category_scores_gemma":[0.046898447,0.00055939466,0.0007282267,0.00085786474,0.0010826632,0.0014129437,0.0012460207,0.0007555863,0.00026262965],"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":[0.0036331764,0.00018168194,0.019645246,0.0003405396,0.00025453433,0.0004464225,0.0004066468,0.84266824,0.042027,0.0012556766,0.00041278987,0.088727966],"study_design_scores_gemma":[0.00007472415,0.00073101284,0.0073227957,0.00005880192,0.00008979562,0.00077539333,0.00014983595,0.9335382,0.055518083,0.0010927534,0.00056870043,0.00007980878],"about_ca_topic_score_codex":0.0026190584,"about_ca_topic_score_gemma":0.0019361096,"teacher_disagreement_score":0.008328442,"about_ca_system_score_codex":0.00056633726,"about_ca_system_score_gemma":0.0007843527,"threshold_uncertainty_score":0.044045508},"labels":[],"label_agreement":null},{"id":"W2095120395","doi":"10.1088/0967-3334/25/1/028","title":"Accounting for erroneous electrode data in electrical impedance tomography","year":2004,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Electrical impedance tomography; Noise (video); A priori and a posteriori; Electrode; Electrical impedance; Tomography; Iterative reconstruction; Finite element method; Electrical resistivity tomography; Image (mathematics); Acoustics; Mathematics; Electrical resistivity and conductivity; Physics; Computer science; Optics; Artificial intelligence","score_opus":0.06036240697403062,"score_gpt":0.25649567432745124,"score_spread":0.19613326735342063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095120395","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02622856,0.00020598073,0.972937,0.00012469104,0.00003276281,0.000010759917,0.000027034179,0.00027190417,0.00016140053],"genre_scores_gemma":[0.446531,0.0008428176,0.5507323,0.00014842229,0.00007292093,0.00006363626,0.00021041684,0.00027697877,0.0011215843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976749,0.0007663881,0.00016752198,0.0002774455,0.0010266977,0.0000869556],"domain_scores_gemma":[0.9903661,0.006253786,0.0010233268,0.0014870337,0.0007687807,0.000100909034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033010212,0.0007800478,0.00087502314,0.00095513376,0.00035804935,0.0011126164,0.0012565808,0.0015678067,0.00050690863],"category_scores_gemma":[0.024906185,0.00090903696,0.0005197171,0.0012817145,0.0013575242,0.0025917287,0.0015291929,0.0013001182,0.00036460377],"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":[0.00072180113,0.00008393502,0.010700756,0.00059434696,0.00014734427,0.0021432976,0.0010338476,0.5741334,0.13238625,0.023981068,0.0009934391,0.25308052],"study_design_scores_gemma":[0.00003160529,0.00013661894,0.0042342576,0.00005678009,0.00006206005,0.0016302495,0.00011791605,0.85454506,0.110957764,0.024393883,0.00374585,0.00008799021],"about_ca_topic_score_codex":0.0011225578,"about_ca_topic_score_gemma":0.0014117197,"teacher_disagreement_score":0.0033010212,"about_ca_system_score_codex":0.00052419875,"about_ca_system_score_gemma":0.0006810085,"threshold_uncertainty_score":0.017457724},"labels":[],"label_agreement":null},{"id":"W2097353049","doi":"10.1109/tbme.2010.2052618","title":"A Resistive Mesh Phantom for Assessing the Performance of EIT Systems","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":63,"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; HEC Montréal; Polytechnique Montréal","funders":"Canadian Institutes of Health Research","keywords":"Imaging phantom; Electrical impedance tomography; Resistive touchscreen; Electrical impedance; Resistor; Acoustics; Calibration; Distortion (music); Electronic engineering; Computer science; Physics; Optics; Engineering; Voltage; Electrical engineering; Computer vision","score_opus":0.006394359803995483,"score_gpt":0.22106090926149866,"score_spread":0.2146665494575032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097353049","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0389363,0.001005983,0.9549975,0.00023514304,0.00015012673,0.00042556168,0.00029204666,0.0017894771,0.0021678945],"genre_scores_gemma":[0.2061068,0.0011373212,0.7885599,0.00020690405,0.000066077926,0.0009516206,0.00060028577,0.00029458528,0.0020764868],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982809,0.0006429015,0.00017454264,0.00026195057,0.0005770725,0.00006271083],"domain_scores_gemma":[0.9950547,0.003037794,0.00038556522,0.0007929076,0.0006004072,0.00012856102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003707075,0.0009341162,0.0005356863,0.001319822,0.00041639028,0.00089417555,0.0009621429,0.0010782835,0.0026069703],"category_scores_gemma":[0.009835696,0.00040264218,0.00038706374,0.0007997383,0.00054516934,0.0013371544,0.0008475274,0.00053744,0.0007714417],"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":[0.00036738766,0.00013866686,0.0012217535,0.000341145,0.000028264076,0.00022868098,0.00013924556,0.006914771,0.9426061,0.0028985199,0.0010447412,0.04407055],"study_design_scores_gemma":[0.000057202982,0.0023069496,0.00510992,0.00007828025,0.000092932176,0.00250751,0.000072974195,0.07032333,0.89630985,0.0016755325,0.021346455,0.00011906809],"about_ca_topic_score_codex":0.00026294182,"about_ca_topic_score_gemma":0.00029601666,"teacher_disagreement_score":0.003707075,"about_ca_system_score_codex":0.00048249064,"about_ca_system_score_gemma":0.00061065605,"threshold_uncertainty_score":0.01960516},"labels":[],"label_agreement":null},{"id":"W2097783691","doi":"10.1109/iembs.2009.5334030","title":"Electrical conductivity imaging using MRI measurement of the magnetic field vector","year":2009,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Radio frequency; Magnetic field; Conductivity; Electrical resistivity and conductivity; Magnetic resonance imaging; Nuclear magnetic resonance; Work (physics); Acoustics; Physics; Computer science; Telecommunications; Radiology; Medicine","score_opus":0.012288905534791129,"score_gpt":0.20526376708878244,"score_spread":0.19297486155399132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097783691","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08268631,0.21257278,0.62336093,0.0020743143,0.00097457133,0.00027097116,0.0008596798,0.003113168,0.07408732],"genre_scores_gemma":[0.47431335,0.21910611,0.24562703,0.00056262745,0.0006230997,0.00023536234,0.00086223683,0.00033843488,0.058331728],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997825,0.000029353123,0.00001409359,0.000048124635,0.000105322484,0.000020662037],"domain_scores_gemma":[0.99976414,0.000059605445,0.000054660843,0.000018827315,0.00008032478,0.00002240245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025821288,0.00056161283,0.00046842542,0.0014651952,0.00021583682,0.00081339723,0.00044671993,0.00051282364,0.0028815756],"category_scores_gemma":[0.0005228721,0.00024652178,0.00016020343,0.0012076797,0.00082719506,0.00082762196,0.00030324073,0.00052083936,0.0020756312],"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":[0.00007917224,0.000020860647,0.0016511711,0.0014047025,0.000027561355,0.00049009273,0.0001215453,0.0007372549,0.75255466,0.0046212105,0.0042755273,0.23401614],"study_design_scores_gemma":[0.000021856327,0.00079482474,0.034007836,0.00074309483,0.00017801215,0.0127216205,0.0003692866,0.0055601625,0.6346301,0.008106308,0.30272645,0.00014040941],"about_ca_topic_score_codex":0.0025411497,"about_ca_topic_score_gemma":0.0041226996,"teacher_disagreement_score":0.0028815756,"about_ca_system_score_codex":0.00074035855,"about_ca_system_score_gemma":0.00041376238,"threshold_uncertainty_score":0.009639859},"labels":[],"label_agreement":null},{"id":"W2098080489","doi":"10.1088/1742-6596/224/1/012056","title":"Distinguishability in EIT using a hypothesis-testing model","year":2010,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Covariance; Noise (video); White noise; Amplitude; Statistical hypothesis testing; Gaussian noise; Null (SQL); Mathematics; Gaussian; Statistical physics; Algorithm; Physics; Electrical impedance; Computer science; Statistics; Artificial intelligence; Data mining; Optics","score_opus":0.047156249263604746,"score_gpt":0.23470828032881091,"score_spread":0.18755203106520618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098080489","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027453244,0.00014360661,0.96849847,0.0010406034,0.000049244827,0.00010847059,0.00011918072,0.00015533353,0.0024318886],"genre_scores_gemma":[0.8249122,0.0002035714,0.1685436,0.00065562536,0.0002776434,0.0008074834,0.00048607215,0.00007577662,0.0040381607],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9703888,0.01738533,0.0013341183,0.004867639,0.004761244,0.0012627806],"domain_scores_gemma":[0.7657484,0.21709086,0.007413758,0.0049267733,0.0034824219,0.0013378296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.040343083,0.0019104104,0.0025138776,0.0025532115,0.0009460318,0.0038526906,0.0046892986,0.0048324843,0.00624871],"category_scores_gemma":[0.0974088,0.00081375573,0.0021811104,0.0016035632,0.009931639,0.008166338,0.004343058,0.0059968326,0.00087804784],"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":[0.000633184,0.0003527626,0.0063917125,0.00028927537,0.00029306288,0.0009416122,0.00061272166,0.31147557,0.0017618907,0.6343818,0.0011972603,0.041669175],"study_design_scores_gemma":[0.00005484221,0.00013211573,0.0005773886,0.000020434743,0.000021856018,0.00013022807,0.000039144765,0.73205054,0.0006104701,0.26603368,0.0002992201,0.000030106043],"about_ca_topic_score_codex":0.0012388587,"about_ca_topic_score_gemma":0.00051172863,"teacher_disagreement_score":0.040343083,"about_ca_system_score_codex":0.0029482308,"about_ca_system_score_gemma":0.0017988587,"threshold_uncertainty_score":0.21335721},"labels":[],"label_agreement":null},{"id":"W2098318219","doi":"10.1016/j.medengphy.2011.11.015","title":"Bioimpedance technique for monitoring cerebral artery stenosis in a 3D numerical model of the head","year":2011,"lang":"en","type":"article","venue":"Medical Engineering & Physics","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":8,"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":"McGill University","keywords":"Stenosis; Sensitivity (control systems); Head (geology); Middle cerebral artery; Injector; Stroke (engine); Artery; Medicine; Biomedical engineering; Cardiology; Physics; Ischemia; Engineering; Electronic engineering; Geology","score_opus":0.02008320800777456,"score_gpt":0.21531924496989055,"score_spread":0.195236036962116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098318219","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29042864,0.00020107906,0.7054839,0.00019853713,0.00002919394,0.000046165645,0.00014578426,0.00055266405,0.0029140897],"genre_scores_gemma":[0.8711555,0.00017643865,0.12742594,0.000035592315,0.0000065658205,0.000077496195,0.00006281043,0.000021270094,0.0010383433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992394,0.00002261288,0.000003602591,0.000010232257,0.000033266213,0.0000064144965],"domain_scores_gemma":[0.99969876,0.00019715527,0.000030957788,0.000025870468,0.000039557908,0.000007747629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002460017,0.0002643389,0.00027618793,0.00019856286,0.00014136928,0.0002890404,0.0003546699,0.00060484774,0.0006178404],"category_scores_gemma":[0.0011828346,0.00021059992,0.00028777256,0.00018250891,0.00030211644,0.0002454633,0.00020487988,0.00020226304,0.00010959435],"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":[0.00004794301,0.00001884322,0.0009289387,0.00003551532,0.000015595677,0.0000878122,0.00006586295,0.9568156,0.033055425,0.0015773204,0.000106985055,0.0072441376],"study_design_scores_gemma":[0.000003429048,0.000016487396,0.00021181231,0.000001648819,0.00000355227,0.000034150984,0.000004803297,0.9966462,0.0027070872,0.00020651832,0.00016093483,0.0000032820494],"about_ca_topic_score_codex":0.0023093896,"about_ca_topic_score_gemma":0.0017515827,"teacher_disagreement_score":0.0023093896,"about_ca_system_score_codex":0.00030064644,"about_ca_system_score_gemma":0.00044676123,"threshold_uncertainty_score":0.004591882},"labels":[],"label_agreement":null},{"id":"W2099340215","doi":"10.1109/ccece.2006.277846","title":"Imaging of Electrode Movement and Conductivity Change in Electrical Impedance Tomography","year":2006,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance tomography; Electrode; Iterative reconstruction; Tomography; Electrical impedance; Electrical resistivity tomography; Materials science; Smoothness; Conductivity; Sensitivity (control systems); Acoustics; Boundary (topology); Medical imaging; Electrical resistivity and conductivity; Biomedical engineering; Computer vision; Computer science; Artificial intelligence; Electronic engineering; Physics; Optics; Mathematics; Electrical engineering; Engineering; Mathematical analysis","score_opus":0.006251455874463315,"score_gpt":0.20508816950864892,"score_spread":0.1988367136341856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099340215","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12853219,0.00041222203,0.8697691,0.00015557163,0.00003524078,0.000020932584,0.00002218487,0.00022965501,0.00082295504],"genre_scores_gemma":[0.5947664,0.00067321816,0.40285242,0.000068599125,0.00002779384,0.000034810593,0.000055847708,0.00008099094,0.0014398404],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997181,0.000075198004,0.000017100954,0.000054559794,0.00012150176,0.000013437255],"domain_scores_gemma":[0.9995135,0.00026563703,0.00007941018,0.00007608742,0.000049702532,0.000015730979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041298644,0.0003296495,0.00028175054,0.00032583755,0.00010476293,0.0005384286,0.00049371744,0.00086713204,0.00056024385],"category_scores_gemma":[0.002793096,0.00028963736,0.00023310784,0.00043395135,0.0005503705,0.0007683662,0.0005300976,0.0004544747,0.0001810438],"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":[0.0006885574,0.00006447861,0.0036528644,0.00029261972,0.00005349172,0.0008030683,0.00024140553,0.07124287,0.7721601,0.0062353015,0.00042411915,0.14414115],"study_design_scores_gemma":[0.00006587327,0.0003194346,0.009542054,0.000044374105,0.00006217959,0.0053043626,0.00009443833,0.47367918,0.5017659,0.0034872058,0.0055640084,0.00007085351],"about_ca_topic_score_codex":0.00020499126,"about_ca_topic_score_gemma":0.00029299688,"teacher_disagreement_score":0.00086713204,"about_ca_system_score_codex":0.00016047787,"about_ca_system_score_gemma":0.00017403465,"threshold_uncertainty_score":0.002184093},"labels":[],"label_agreement":null},{"id":"W2099462123","doi":"10.1109/iembs.2008.4649764","title":"Electrical Impedance Tomography reconstruction using ℓ<sub>1</sub> norms for data and image terms","year":2008,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Iterative reconstruction; Computer science; Algorithm; Image (mathematics); Artificial intelligence; Electrical impedance; Electrical engineering; Engineering","score_opus":0.01905881869754751,"score_gpt":0.22239933712004106,"score_spread":0.20334051842249357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099462123","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010918162,0.000121151796,0.9873885,0.000115417126,0.00002254444,0.00002657408,0.000027369093,0.00014311471,0.0012370966],"genre_scores_gemma":[0.10364874,0.00030455727,0.89196897,0.00006866122,0.00001648586,0.00008193178,0.0001259927,0.00016351008,0.0036211538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995716,0.00014884866,0.000034430137,0.00006589,0.00015948812,0.000019715491],"domain_scores_gemma":[0.99803966,0.0012033803,0.00019363558,0.00020104542,0.00031940674,0.000042806507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001362302,0.00078304135,0.0004211937,0.0002752689,0.00022056999,0.00091718417,0.0005136597,0.00079788856,0.0017445394],"category_scores_gemma":[0.006620459,0.00019145741,0.00045423646,0.00031607298,0.0006905836,0.0014408722,0.0006963816,0.00088987907,0.00062224147],"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":[0.00048547838,0.00014876892,0.0032602944,0.00050793536,0.00007871391,0.00044668993,0.00037269542,0.39337093,0.14715222,0.12488041,0.0026570214,0.32663885],"study_design_scores_gemma":[0.000014672176,0.000095539566,0.0004205778,0.00003546479,0.00001231148,0.00044906663,0.000043952074,0.936664,0.050528444,0.007012579,0.0046916204,0.00003177909],"about_ca_topic_score_codex":0.0011996552,"about_ca_topic_score_gemma":0.0017008634,"teacher_disagreement_score":0.0017445394,"about_ca_system_score_codex":0.00046368124,"about_ca_system_score_gemma":0.0007155594,"threshold_uncertainty_score":0.007204652},"labels":[],"label_agreement":null},{"id":"W2107507936","doi":"10.1002/ls.1300","title":"The origin, measurement and control of fine particles in non‐aqueous hydraulic fluids and their effect on fluid and system performance","year":2015,"lang":"en","type":"article","venue":"Lubrication Science","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Power Generation","funders":"","keywords":"Filtration (mathematics); Particle (ecology); Materials science; Hydraulic fluid; Residual; Mechanics; Process engineering; Particle size; Environmental science; Computer science; Mechanical engineering; Chemical engineering; Hydraulic machinery; Engineering; Physics; Geology","score_opus":0.013488004171562708,"score_gpt":0.2078476395889785,"score_spread":0.1943596354174158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107507936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94227916,0.0022718583,0.05346302,0.0001265817,0.0000896531,0.00013644247,0.00012256487,0.00020877978,0.0013020108],"genre_scores_gemma":[0.9836426,0.00034596748,0.015015358,0.000028628574,0.000012300907,0.00002299162,0.000043956064,0.000019443614,0.0008688701],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99922097,0.00016356017,0.00004889535,0.00010784429,0.00041258897,0.000046149617],"domain_scores_gemma":[0.99831045,0.0007485842,0.00039421968,0.00011883117,0.00037852957,0.000049357535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010477458,0.00024548647,0.00017672323,0.0003607496,0.0002547933,0.00047635988,0.00028401276,0.00037935708,0.0005954996],"category_scores_gemma":[0.0023068038,0.0001660673,0.00014175467,0.00016251714,0.0006436863,0.00046063442,0.00027407135,0.00032048248,0.00015822002],"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":[0.00011462937,0.00002681953,0.0013904696,0.000075887096,0.0000044326243,0.000036767397,0.000060169248,0.0003913582,0.9896158,0.00009861468,0.00005054698,0.008134447],"study_design_scores_gemma":[0.0000027133344,0.00018076586,0.0026984964,0.00000439159,0.0000042348656,0.000053844946,0.000025029436,0.0022130075,0.9941901,0.00003931499,0.0005814012,0.000006602436],"about_ca_topic_score_codex":0.0006781763,"about_ca_topic_score_gemma":0.0011417102,"teacher_disagreement_score":0.0010477458,"about_ca_system_score_codex":0.0003156538,"about_ca_system_score_gemma":0.00017666932,"threshold_uncertainty_score":0.005541086},"labels":[],"label_agreement":null},{"id":"W2108670041","doi":"10.1109/imtc.2005.1604112","title":"Eddy Current Based Flexible Sensor for Contactless Measurement of Breathing","year":2006,"lang":"en","type":"article","venue":"2005 IEEE Instrumentationand Measurement Technology Conference Proceedings","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":40,"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":"Electromagnetic coil; Acoustics; Eddy current; Inductance; Coil noise; Helmholtz coil; Electrical engineering; Magnetic field; Materials science; Resonator; Electrical conductor; Colpitts oscillator; Inductor; Nuclear magnetic resonance; Physics; Biomedical engineering; Voltage; Engineering; Rogowski coil","score_opus":0.03168832747784033,"score_gpt":0.236160366113477,"score_spread":0.20447203863563665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108670041","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16811597,0.00478497,0.8140884,0.00039117734,0.000589005,0.00032042418,0.0006572709,0.0031835856,0.007869133],"genre_scores_gemma":[0.7298673,0.00091175165,0.25679824,0.0006805358,0.00021240558,0.0001816091,0.00037119995,0.000106253196,0.010870763],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99931645,0.00011849216,0.0000329505,0.00014032885,0.0003663143,0.00002538376],"domain_scores_gemma":[0.99951565,0.00018130949,0.00007387035,0.0000661741,0.00012407158,0.000039008697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041719564,0.00036820787,0.00034940362,0.0003650344,0.00017670942,0.00042597024,0.00067413814,0.00068586384,0.0023158377],"category_scores_gemma":[0.0010408876,0.00021159607,0.00017160884,0.0002800382,0.00027851624,0.00070109154,0.00039030664,0.0004002536,0.0007271397],"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":[0.00027501903,0.000064472006,0.0012826964,0.00022314029,0.000029991534,0.00012032212,0.00007851546,0.0005787079,0.9134128,0.0011602753,0.0017867301,0.080987364],"study_design_scores_gemma":[0.000114071314,0.0014253849,0.016087225,0.000050119746,0.0001061691,0.003257337,0.00005327105,0.038040467,0.9046395,0.00080929603,0.035290465,0.00012676216],"about_ca_topic_score_codex":0.00016787284,"about_ca_topic_score_gemma":0.0003444011,"teacher_disagreement_score":0.0023158377,"about_ca_system_score_codex":0.0002523931,"about_ca_system_score_gemma":0.00015743056,"threshold_uncertainty_score":0.0077472925},"labels":[],"label_agreement":null},{"id":"W2110761239","doi":"10.1155/2009/720980","title":"Fabry‐Pérot Fiber‐Optic Sensors for Physical Parameters Measurement in Challenging Conditions","year":2009,"lang":"en","type":"article","venue":"Journal of Sensors","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"FISO Technologies (Canada)","funders":"","keywords":"Optical fiber; Fabry–Pérot interferometer; Materials science; Fiber; Optics; Optoelectronics; Composite material; Physics","score_opus":0.022862196008628953,"score_gpt":0.24404460302701253,"score_spread":0.22118240701838357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110761239","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19139111,0.053234246,0.7254468,0.0011004407,0.0010590008,0.0002795298,0.00046243367,0.0024651007,0.02456133],"genre_scores_gemma":[0.52548087,0.015010845,0.44694516,0.00026653177,0.00022360115,0.00014343442,0.00029496217,0.00011571127,0.011519045],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99961084,0.000056495508,0.000013756612,0.00004735301,0.00024018549,0.000031404626],"domain_scores_gemma":[0.99978226,0.00009283476,0.000033358134,0.000025346571,0.000047445756,0.000018752307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005150268,0.0006647583,0.0005228686,0.0005559379,0.00037185874,0.00045934666,0.0005586266,0.0006962101,0.0019262001],"category_scores_gemma":[0.00064116035,0.00031205898,0.00020229834,0.0006022502,0.00050235994,0.0011653695,0.0003289416,0.0005075456,0.0007578496],"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":[0.00014203053,0.00004981458,0.00047783137,0.00031955435,0.000010837853,0.00016002903,0.000116072944,0.0015003867,0.8711473,0.007774702,0.0031267644,0.11517473],"study_design_scores_gemma":[0.00002816068,0.0003300379,0.0016423928,0.00004250425,0.00003237947,0.0011800382,0.00007118448,0.019473571,0.91957635,0.0037339854,0.053830653,0.00005869016],"about_ca_topic_score_codex":0.00030751433,"about_ca_topic_score_gemma":0.00086594967,"teacher_disagreement_score":0.0019262001,"about_ca_system_score_codex":0.00035614448,"about_ca_system_score_gemma":0.00040344807,"threshold_uncertainty_score":0.0064437985},"labels":[],"label_agreement":null},{"id":"W2112908310","doi":"10.1088/0967-3334/28/7/s02","title":"Accounting for hardware imperfections in EIT image reconstruction algorithms","year":2007,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Electrical impedance tomography; Algorithm; Iterative reconstruction; Reconstruction algorithm; Computer science; Computer vision; Imaging phantom; Set (abstract data type); Artificial intelligence; Electrical impedance; Engineering; Optics; Physics; Electrical engineering","score_opus":0.03859979908649405,"score_gpt":0.24952490086179258,"score_spread":0.21092510177529852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112908310","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011211174,0.000102657716,0.9877857,0.000055834476,0.00001842058,0.000030736814,0.000011242024,0.0006197884,0.0001645161],"genre_scores_gemma":[0.12292957,0.00021075158,0.87582886,0.000046107878,0.000014240275,0.00007040247,0.00008661906,0.00020387955,0.0006095636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844766,0.0003920044,0.00017444581,0.00018570048,0.0007026674,0.00009734497],"domain_scores_gemma":[0.9923326,0.0043019364,0.000767752,0.001352638,0.0011526598,0.000092431175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032757183,0.0011247408,0.00077776244,0.00080204575,0.00046359218,0.0017503593,0.0014814741,0.0013196655,0.001580772],"category_scores_gemma":[0.017056994,0.0007623099,0.000743469,0.00080728927,0.0007100804,0.0016586265,0.001130982,0.0011560539,0.00058299367],"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":[0.00067859667,0.00012529813,0.008056002,0.00043780537,0.0001706956,0.00050333503,0.00059323653,0.4912327,0.06699928,0.010227384,0.0012414432,0.4197342],"study_design_scores_gemma":[0.000030158855,0.00012984758,0.0017964266,0.000028202578,0.00007528631,0.00067588495,0.00005352761,0.94406974,0.047988523,0.0023644995,0.0027442256,0.000043705964],"about_ca_topic_score_codex":0.0024315258,"about_ca_topic_score_gemma":0.0025836763,"teacher_disagreement_score":0.0032757183,"about_ca_system_score_codex":0.00061833434,"about_ca_system_score_gemma":0.0011361516,"threshold_uncertainty_score":0.017323911},"labels":[],"label_agreement":null},{"id":"W2113761410","doi":"10.1088/0967-3334/30/6/s03","title":"GREIT: a unified approach to 2D linear EIT reconstruction of lung images","year":2009,"lang":"ar","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":666,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Carleton University","funders":"Engineering and Physical Sciences Research Council","keywords":"Electrical impedance tomography; Iterative reconstruction; Figure of merit; Algorithm; Computer science; Wavelet; Sensitivity (control systems); Reconstruction algorithm; Noise (video); Computer vision; Tomography; Artificial intelligence; Image (mathematics); Electronic engineering; Engineering; Physics","score_opus":0.05108776845709836,"score_gpt":0.24195974717692956,"score_spread":0.1908719787198312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113761410","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003936938,0.000019196319,0.999067,0.000020622963,0.0000035086616,0.000012698112,0.000013410715,0.00032225737,0.00014754468],"genre_scores_gemma":[0.019666534,0.00010163812,0.97854507,0.000045997203,0.000011339238,0.000112282876,0.00020427523,0.00036257357,0.0009503605],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989052,0.0003226892,0.0000797745,0.00015776246,0.00046969767,0.00006497036],"domain_scores_gemma":[0.9986808,0.000497422,0.00013688293,0.00020433342,0.00041967144,0.00006085751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024622467,0.00088996853,0.0007725853,0.0011591678,0.000381035,0.0019587835,0.0021837344,0.0017375991,0.0036613108],"category_scores_gemma":[0.0059185717,0.0006794345,0.0013024588,0.0007724477,0.00067091646,0.0010767464,0.0020038185,0.0018365197,0.0022841797],"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":[0.0001998225,0.000063941705,0.0007776468,0.00030949572,0.00009118029,0.0002708455,0.00029781205,0.5506893,0.03584437,0.042691372,0.006250054,0.36251417],"study_design_scores_gemma":[0.000009526931,0.000033630335,0.00008939977,0.00001489624,0.0000071852105,0.00011051049,0.000022214475,0.98405635,0.0065263156,0.0050246147,0.0040870016,0.000018397295],"about_ca_topic_score_codex":0.0020360965,"about_ca_topic_score_gemma":0.0025469735,"teacher_disagreement_score":0.0036613108,"about_ca_system_score_codex":0.00066851755,"about_ca_system_score_gemma":0.0014807287,"threshold_uncertainty_score":0.013021767},"labels":[],"label_agreement":null},{"id":"W2117216570","doi":"10.1007/bf03326078","title":"Modeling of a permeate flux of cross-flow membrane filtration of colloidal suspensions: A wavelet network approach","year":2009,"lang":"en","type":"article","venue":"International Journal of Environmental Science and Technology","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":17,"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 Regina","funders":"","keywords":"Wavelet; Mean squared error; Artificial neural network; Backpropagation; Feedforward neural network; Filtration (mathematics); Computer science; Artificial intelligence; Mathematics; Statistics","score_opus":0.005767857529981294,"score_gpt":0.215702850006375,"score_spread":0.20993499247639372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117216570","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21841784,0.0004205741,0.77574146,0.00048813588,0.00006564596,0.000036942693,0.00010135943,0.00015692,0.004571103],"genre_scores_gemma":[0.97221315,0.00044811235,0.02152931,0.00005854274,0.000033429675,0.00007459165,0.00010006933,0.000052904747,0.0054898956],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998754,0.0000405476,0.000005581895,0.00003379592,0.000026658086,0.00001789946],"domain_scores_gemma":[0.99969673,0.00018279566,0.000036875117,0.000011000579,0.000053306572,0.000019384917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045880247,0.00061365817,0.000674634,0.00034105274,0.0003351066,0.00081726274,0.0006976836,0.0020794105,0.0007105641],"category_scores_gemma":[0.0010670262,0.00045784132,0.00079248403,0.00031433065,0.0006291608,0.0010555168,0.0004264265,0.00071588025,0.00012318214],"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":[0.00001939342,0.000018899382,0.0002307485,0.000019264236,0.000012340427,0.00004176955,0.000017479138,0.9917389,0.0029986054,0.00305076,0.0000696277,0.0017821529],"study_design_scores_gemma":[6.603836e-7,0.0000022689248,0.000026979056,4.570881e-7,0.0000011646189,0.0000016343513,0.0000013514933,0.9997073,0.000121305355,0.00012041037,0.000015450953,9.394532e-7],"about_ca_topic_score_codex":0.009889254,"about_ca_topic_score_gemma":0.0029659194,"teacher_disagreement_score":0.009889254,"about_ca_system_score_codex":0.0007686518,"about_ca_system_score_gemma":0.00071008474,"threshold_uncertainty_score":0.019663393},"labels":[],"label_agreement":null},{"id":"W2117255596","doi":"10.1002/cjce.20502","title":"Assessment of mixing quality for an industrial pulp mixer using electrical resistance tomography","year":2011,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mixing (physics); Volumetric flow rate; Materials science; Suspension (topology); Electrical resistance and conductance; Pulp (tooth); Composite material; Mechanics; Mathematics","score_opus":0.051577593042862205,"score_gpt":0.25527945207564634,"score_spread":0.20370185903278415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117255596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94862837,0.0004738649,0.049588766,0.00006947331,0.000016737895,0.000076606426,0.00010298745,0.0002522366,0.0007909402],"genre_scores_gemma":[0.9585869,0.00017884931,0.040317133,0.00003499674,0.000008765296,0.00003258327,0.00010734013,0.000049906797,0.000683599],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999453,0.00013438133,0.000042209696,0.000103762446,0.00022795422,0.00003869761],"domain_scores_gemma":[0.9989452,0.0004903,0.00022983941,0.000068819776,0.00022369427,0.00004221852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018539494,0.000353491,0.00039844203,0.00056882575,0.0002477388,0.0006653887,0.0003216389,0.0005668817,0.0010546478],"category_scores_gemma":[0.0025473807,0.0002836288,0.00031384078,0.00036364363,0.00039568514,0.00056473014,0.00026628104,0.0005055464,0.00017398769],"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":[0.00015123127,0.00002277312,0.002123648,0.000039233495,0.000006226715,0.000028451826,0.0000377987,0.00023539785,0.9934274,0.000032323325,0.000017391307,0.0038781115],"study_design_scores_gemma":[0.000019095945,0.00053670455,0.02182781,0.000007330629,0.000044523298,0.00012861502,0.00006015517,0.0062474553,0.9706698,0.000028803674,0.00040881842,0.00002083778],"about_ca_topic_score_codex":0.00042761717,"about_ca_topic_score_gemma":0.00066572166,"teacher_disagreement_score":0.0018539494,"about_ca_system_score_codex":0.00032516665,"about_ca_system_score_gemma":0.00019227699,"threshold_uncertainty_score":0.009804726},"labels":[],"label_agreement":null},{"id":"W2119513145","doi":"10.1109/ccece.1995.528190","title":"Minimum distance processor for biological tissues classification from A-scan ultrasonic signals","year":2002,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"McGill University","funders":"","keywords":"SIGNAL (programming language); Pattern recognition (psychology); Artificial intelligence; Orthogonalization; Computer science; Ultrasonic sensor; Noise (video); Mathematics; Computer vision; Algorithm; Acoustics; Image (mathematics); Physics","score_opus":0.03946906080006246,"score_gpt":0.23611015324065787,"score_spread":0.1966410924405954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119513145","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012800958,0.00014480535,0.9865173,0.000037007765,0.000015659183,0.000014554,0.000009559203,0.00022681725,0.00023350201],"genre_scores_gemma":[0.111978516,0.00019147679,0.8863087,0.000031775708,0.000041097224,0.00007838043,0.00008930436,0.00003846402,0.001242287],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998998,0.00034518796,0.000049534643,0.00012243817,0.00044242264,0.000042399013],"domain_scores_gemma":[0.9986141,0.0008158876,0.00010442533,0.00012060756,0.0002969696,0.00004799707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010354276,0.0004488467,0.0005139158,0.0006226318,0.00026242115,0.0005974906,0.0004425033,0.0007419116,0.0012473963],"category_scores_gemma":[0.0033787927,0.0002663341,0.00030612428,0.00061103475,0.00053258985,0.0008866218,0.00045427046,0.00087069423,0.0010288733],"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":[0.00095136586,0.0001261807,0.0011980636,0.00015552898,0.000058865677,0.00012403152,0.00014959073,0.049108297,0.15594749,0.009015089,0.0013274628,0.78183794],"study_design_scores_gemma":[0.00010261244,0.0006792211,0.002263495,0.000021851367,0.000042091226,0.0004416725,0.000048977683,0.8917217,0.09037759,0.007715205,0.0065433593,0.000042221443],"about_ca_topic_score_codex":0.00045307534,"about_ca_topic_score_gemma":0.0003854851,"teacher_disagreement_score":0.0012473963,"about_ca_system_score_codex":0.0002716196,"about_ca_system_score_gemma":0.0005013267,"threshold_uncertainty_score":0.0054758787},"labels":[],"label_agreement":null},{"id":"W2119955016","doi":"10.1109/tbme.2009.2032163","title":"Adaptive Mesh Refinement Techniques for 3-D Skin Electrode Modeling","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":6,"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":"Adaptive mesh refinement; Electrical impedance tomography; Finite element method; Computer science; Mesh generation; Electrical impedance; Electrode; Algorithm; Process (computing); Computational science; Electrical engineering; Engineering; Physics","score_opus":0.008486064148958713,"score_gpt":0.21264567048580782,"score_spread":0.2041596063368491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119955016","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011372633,0.00008269328,0.998252,0.000032818632,0.000011471319,0.000009016943,0.000010848375,0.000095281655,0.00036865255],"genre_scores_gemma":[0.10304623,0.0005215904,0.894259,0.000065531276,0.000025412737,0.00013894754,0.000107287626,0.00014391627,0.0016921673],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996045,0.0001337316,0.000022642294,0.000033637007,0.00018828019,0.000017162185],"domain_scores_gemma":[0.9993868,0.00036597846,0.00004190857,0.000078324345,0.0001122305,0.000014681858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006323179,0.00047328396,0.00042588584,0.00064656034,0.00024096385,0.00041745283,0.0010013484,0.0008201271,0.0017913032],"category_scores_gemma":[0.0024040614,0.00042787832,0.00080016814,0.00059054914,0.00043163192,0.0007307913,0.0008153337,0.0009129873,0.0007308289],"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":[0.000051104165,0.000023037219,0.00058830826,0.00015613851,0.00004261211,0.00013619513,0.00019506746,0.8111176,0.02461117,0.034799267,0.0016001184,0.12667939],"study_design_scores_gemma":[0.00000640995,0.000008627135,0.000060200895,0.000009662357,0.0000039894376,0.000044470453,0.000008530765,0.9880667,0.0020858415,0.006008527,0.003690125,0.0000069530656],"about_ca_topic_score_codex":0.0023834987,"about_ca_topic_score_gemma":0.00219164,"teacher_disagreement_score":0.0023834987,"about_ca_system_score_codex":0.00036938023,"about_ca_system_score_gemma":0.00043329413,"threshold_uncertainty_score":0.005992472},"labels":[],"label_agreement":null},{"id":"W2120896176","doi":"10.1109/iembs.2002.1106205","title":"Current density imaging of electrical current pathways inside the pig torso","year":2002,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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 Toronto","funders":"","keywords":"Torso; Current (fluid); Current density; Electrical impedance tomography; Electrical current; Imaging phantom; Defibrillation; Electric current; Nuclear magnetic resonance; Magnetic field; Streamlines, streaklines, and pathlines; Electrical impedance; Biomedical engineering; Acoustics; Physics; Electrical engineering; Medicine; Mechanics; Engineering; Optics; Anatomy","score_opus":0.01625334519171119,"score_gpt":0.20632166842051322,"score_spread":0.19006832322880202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120896176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8903356,0.0013666986,0.10487004,0.00017089606,0.000023974757,0.00009038639,0.00014484298,0.00036672738,0.0026307867],"genre_scores_gemma":[0.95312226,0.0007477221,0.044659156,0.00009883642,0.000026843205,0.000052338117,0.00010427634,0.00003123497,0.001157434],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999429,0.000012148973,0.0000029699459,0.0000130052385,0.000017393244,0.000011607378],"domain_scores_gemma":[0.9998042,0.0000826066,0.000034715995,0.000014035241,0.0000377296,0.000026766898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001560182,0.0001531991,0.0001215376,0.00064830185,0.00009567293,0.00030420205,0.00014544453,0.00031070175,0.0006773866],"category_scores_gemma":[0.0004988149,0.0001610779,0.00008168523,0.0001679364,0.00027012816,0.00038366832,0.00016724432,0.00020837605,0.00011065738],"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":[0.00014184619,0.000017502685,0.001745646,0.00005222093,0.000004590692,0.00015636912,0.000080047095,0.00038716607,0.98181045,0.00018858658,0.000076118806,0.0153394565],"study_design_scores_gemma":[0.00008931357,0.0014162114,0.10267137,0.00008670226,0.00007550047,0.0038225858,0.00029972303,0.026387667,0.86000896,0.0009287594,0.0041623735,0.00005087246],"about_ca_topic_score_codex":0.00042141456,"about_ca_topic_score_gemma":0.00039737747,"teacher_disagreement_score":0.0006773866,"about_ca_system_score_codex":0.000118911266,"about_ca_system_score_gemma":0.00013414561,"threshold_uncertainty_score":0.0022660494},"labels":[],"label_agreement":null},{"id":"W2121376529","doi":"10.1109/acc.2011.5990605","title":"Capacitance ratio estimation on a novel MEMS tactile sensor for elasticity measurement","year":2011,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Centers for Disease Control and Prevention; McMaster University; University of Minnesota","keywords":"Elasticity (physics); Capacitance; Tactile sensor; Microelectromechanical systems; Computer science; Acoustics; Electronic engineering; Materials science; Engineering; Artificial intelligence; Physics; Robot; Electrode; Optoelectronics; Composite material","score_opus":0.05707141678677789,"score_gpt":0.21093099853060437,"score_spread":0.15385958174382647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121376529","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07275643,0.00055246806,0.92425716,0.00015058418,0.000120871846,0.0000716323,0.000042247662,0.0009873569,0.0010612875],"genre_scores_gemma":[0.48269027,0.00043141525,0.5137208,0.0001822364,0.00011815097,0.00006648344,0.00006752982,0.00007769663,0.0026453864],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994203,0.00006285555,0.00002289687,0.000105456165,0.00036141736,0.000027134622],"domain_scores_gemma":[0.99949825,0.00019096951,0.00007323944,0.000043629207,0.00017129141,0.000022533972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004042005,0.0003863843,0.000391168,0.00044063717,0.00017342884,0.00034249437,0.0006155481,0.00053474,0.0010687939],"category_scores_gemma":[0.0012357562,0.00024388934,0.00019659723,0.00036112586,0.00019693944,0.0007531191,0.00035128067,0.00033344625,0.0003513376],"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":[0.00015677964,0.00005120172,0.00095985696,0.00012093176,0.000022778813,0.00018262291,0.00006050681,0.0059505147,0.8419195,0.0009436466,0.00063970825,0.148992],"study_design_scores_gemma":[0.00006155404,0.0005979148,0.005712464,0.000021715085,0.000052805535,0.0014468275,0.0000391852,0.3104668,0.6733584,0.00060555385,0.0075487928,0.000087980065],"about_ca_topic_score_codex":0.00041766677,"about_ca_topic_score_gemma":0.00075164903,"teacher_disagreement_score":0.0010687939,"about_ca_system_score_codex":0.00024955542,"about_ca_system_score_gemma":0.00027289696,"threshold_uncertainty_score":0.0035755038},"labels":[],"label_agreement":null},{"id":"W2124349085","doi":"10.1109/ias.2000.881928","title":"Bipolar charging in polydisperse polymer powders in industrial processes","year":2002,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":28,"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":"Faraday cup; Charge (physics); Faraday cage; Materials science; Polymer; Space charge; Particle (ecology); Volume (thermodynamics); Work (physics); Charge density; Particle-size distribution; Mass distribution; Analytical Chemistry (journal); Particle size; Composite material; Magnetic field; Chemistry; Thermodynamics; Physics; Optics; Chromatography; Physical chemistry; Beam (structure); Nuclear physics","score_opus":0.01968449025699576,"score_gpt":0.1883609674425484,"score_spread":0.16867647718555265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124349085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8707554,0.039749123,0.081092596,0.00026791007,0.00015572428,0.0001225928,0.000052405918,0.000319687,0.0074846097],"genre_scores_gemma":[0.9737104,0.008996111,0.015164791,0.00013450136,0.00009272548,0.00002742848,0.00004686916,0.000029507255,0.0017975655],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996456,0.00008092303,0.000017542674,0.00005166918,0.00017845197,0.000025934503],"domain_scores_gemma":[0.99968183,0.00017874494,0.000056054923,0.000015001953,0.000054647746,0.000013734859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031752544,0.00022209657,0.00027165195,0.00042061493,0.00019801968,0.00049442693,0.00028640428,0.00043909243,0.0006088034],"category_scores_gemma":[0.00096637435,0.00013330899,0.00017499311,0.00044119023,0.0004153718,0.0004984375,0.00023480492,0.00021274206,0.00025676863],"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":[0.00027344987,0.000034971283,0.0018083596,0.000625325,0.00002039962,0.0008940004,0.00020755964,0.0010986577,0.929407,0.0011778369,0.00021692505,0.06423552],"study_design_scores_gemma":[0.000028951315,0.0007500586,0.0063450816,0.000027225737,0.00004550678,0.0030093784,0.00012161045,0.0034087833,0.9773392,0.0008991137,0.008003109,0.000021925915],"about_ca_topic_score_codex":0.0001301894,"about_ca_topic_score_gemma":0.00013701466,"teacher_disagreement_score":0.0006088034,"about_ca_system_score_codex":0.00022047115,"about_ca_system_score_gemma":0.00008460877,"threshold_uncertainty_score":0.002036631},"labels":[],"label_agreement":null},{"id":"W2124707255","doi":"10.1109/iembs.2009.5335080","title":"Experimental setup for developing acousto-electric interaction imaging","year":2009,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Agencia Estatal de Investigación; Natural Sciences and Engineering Research Council of Canada","keywords":"Conductivity; SIGNAL (programming language); Instrumentation (computer programming); Ultrasonic sensor; Acoustics; Electrical resistivity and conductivity; Computer science; Physics","score_opus":0.008883755038497051,"score_gpt":0.24991161419639332,"score_spread":0.24102785915789626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124707255","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3295346,0.0009717912,0.6475252,0.0005168626,0.000878917,0.007720935,0.002809245,0.0029296756,0.0071127266],"genre_scores_gemma":[0.31377918,0.0014967152,0.66360193,0.00036895555,0.0001649129,0.013746056,0.0015669899,0.00021080453,0.0050644646],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992919,0.00007602544,0.00006622575,0.00020321805,0.00025801174,0.000104558414],"domain_scores_gemma":[0.99895537,0.00021413987,0.0001445655,0.00025017897,0.0003041478,0.00013155509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007651439,0.0012700434,0.0007707642,0.000773647,0.0010005516,0.00035137145,0.0014403213,0.0014625667,0.009743214],"category_scores_gemma":[0.0009992784,0.0005681336,0.00035254413,0.0005644092,0.0007528612,0.00053976895,0.0011206521,0.0014368992,0.0023255465],"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":[0.00015117596,0.00019354996,0.000179165,0.00020456681,0.00000729707,0.00014279947,0.0000691461,0.00050139026,0.9914061,0.00080346124,0.00038146923,0.005959849],"study_design_scores_gemma":[0.00014931175,0.0030171827,0.002253346,0.00004240282,0.000048109443,0.00045798018,0.00008183372,0.0038578357,0.9729811,0.0005277033,0.016506163,0.00007704058],"about_ca_topic_score_codex":0.00039515796,"about_ca_topic_score_gemma":0.00048529735,"teacher_disagreement_score":0.009743214,"about_ca_system_score_codex":0.0003238722,"about_ca_system_score_gemma":0.00083229435,"threshold_uncertainty_score":0.032594323},"labels":[],"label_agreement":null},{"id":"W2125148006","doi":"10.1002/rcs.1670","title":"Simultaneous localization and calibration for electromagnetic tracking systems","year":2015,"lang":"en","type":"article","venue":"International Journal of Medical Robotics and Computer Assisted Surgery","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Cancer Care Ontario","keywords":"Tracking (education); Computer science; Calibration; Distortion (music); Computer vision; Tracking error; Sensor fusion; Artificial intelligence; Tracking system; Electromagnetic field; Kalman filter; Real-time computing; Physics; Telecommunications; Bandwidth (computing)","score_opus":0.01950246341740408,"score_gpt":0.2431644107800409,"score_spread":0.2236619473626368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125148006","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007870955,0.00018341371,0.9910493,0.000037864247,0.00002547789,0.000013416063,0.000011232087,0.00038260943,0.00042572978],"genre_scores_gemma":[0.5496579,0.00048307906,0.44727668,0.000098881144,0.00007667703,0.00009704401,0.00014638291,0.00010543023,0.0020579523],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99865097,0.00027892436,0.000059793092,0.00032039828,0.00061802805,0.00007195612],"domain_scores_gemma":[0.99869627,0.000405466,0.00024943185,0.00026941404,0.00034045597,0.000038950562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009321478,0.00083306833,0.00062183477,0.00071105384,0.00033655213,0.00059777335,0.0007679354,0.00095649256,0.0015209124],"category_scores_gemma":[0.003944009,0.0004046637,0.00050289463,0.00077676435,0.00055550167,0.0012185682,0.0015722428,0.00081249047,0.00093685964],"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":[0.00035804982,0.00006329636,0.002621763,0.0003454735,0.00011537522,0.00020972441,0.00031338795,0.16232242,0.107334584,0.005656738,0.0017978816,0.71886134],"study_design_scores_gemma":[0.00004381192,0.0002897428,0.0036671117,0.000056467772,0.00006232491,0.0010853234,0.00006497957,0.9050062,0.07159588,0.005971371,0.012090394,0.000066387176],"about_ca_topic_score_codex":0.0009371977,"about_ca_topic_score_gemma":0.0007623774,"teacher_disagreement_score":0.0015209124,"about_ca_system_score_codex":0.00037524072,"about_ca_system_score_gemma":0.0005698503,"threshold_uncertainty_score":0.005087912},"labels":[],"label_agreement":null},{"id":"W2128562035","doi":"10.1109/robot.1994.351131","title":"Singular-value and finite-element analysis of tactile shape recognition","year":2002,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Australian Government","keywords":"Discretization; Tactile sensor; Rotational symmetry; Finite element method; Curvature; Surface (topology); Mathematical analysis; Stability (learning theory); Computer science; Artificial intelligence; Mathematics; Geometry; Algorithm; Engineering; Structural engineering","score_opus":0.015285861273689002,"score_gpt":0.20065317726102264,"score_spread":0.18536731598733364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128562035","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031870425,0.00023531755,0.96579313,0.0001560117,0.00003575135,0.000017400502,0.000040566836,0.0002783735,0.0015729786],"genre_scores_gemma":[0.7197419,0.00040143242,0.27327216,0.00007300226,0.00007553504,0.00009872591,0.0002566492,0.00014096226,0.0059396797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971026,0.00008141215,0.000016097016,0.000029831586,0.00014333657,0.000019007553],"domain_scores_gemma":[0.99912626,0.00048330688,0.00007340765,0.00006301391,0.00021459584,0.000039421855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067526504,0.00033457126,0.00046316572,0.000896536,0.0001757357,0.00062409247,0.00042765652,0.0006586723,0.0014865374],"category_scores_gemma":[0.0028142731,0.0002404617,0.00038510587,0.00040022098,0.0007653845,0.00051248085,0.00033647753,0.0004585609,0.00041417216],"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":[0.00008279186,0.00006472899,0.00090422714,0.00010178261,0.000029991917,0.00008637585,0.00011100232,0.8763758,0.015045528,0.0392049,0.0011207715,0.06687202],"study_design_scores_gemma":[8.236506e-7,0.0000022703975,0.00008378773,0.0000019296674,5.561503e-7,0.0000044327385,0.0000033566525,0.9961815,0.00039399377,0.0031756444,0.00014932221,0.0000023588325],"about_ca_topic_score_codex":0.0017263185,"about_ca_topic_score_gemma":0.0014128193,"teacher_disagreement_score":0.0017263185,"about_ca_system_score_codex":0.000361739,"about_ca_system_score_gemma":0.00034661245,"threshold_uncertainty_score":0.0049729943},"labels":[],"label_agreement":null},{"id":"W2132056443","doi":"10.1093/annhyg/mer015","title":"Comparison of Mounting Methods for the Evaluation of Fibers by Phase Contrast Microscopy","year":2011,"lang":"en","type":"article","venue":"The Annals of Occupational Hygiene","topic":"Electrical and Bioimpedance Tomography","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":"Toronto Metropolitan University","funders":"","keywords":"Fiber; Triacetin; Phase contrast microscopy; Clearance; Materials science; Composite material; Biomedical engineering; Chemistry; Chromatography; Optics; Engineering","score_opus":0.256200493411434,"score_gpt":0.4985247165226885,"score_spread":0.24232422311125446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132056443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7723765,0.01567592,0.19987054,0.0003894629,0.0011512688,0.001564935,0.001348428,0.0011885612,0.0064343247],"genre_scores_gemma":[0.5492439,0.019494874,0.41752294,0.00019401159,0.00031776747,0.0019323566,0.0035718854,0.0010668689,0.006655378],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99601775,0.0010911694,0.0005181748,0.0005876254,0.0014263558,0.0003589663],"domain_scores_gemma":[0.99401975,0.0023491606,0.0008092026,0.0006789815,0.0019498379,0.000193008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003912898,0.0012983481,0.0006407101,0.0021636516,0.0007056799,0.00090693677,0.0010110601,0.0006343606,0.0019046929],"category_scores_gemma":[0.0064905323,0.00070869614,0.000537513,0.001007094,0.00047827765,0.0011905653,0.0006522761,0.00095098955,0.0006909677],"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":[0.0006032248,0.00014507974,0.0028230937,0.00072550116,0.00007946796,0.00013098128,0.00037450774,0.00034413912,0.96831244,0.00029435172,0.00032279632,0.02584434],"study_design_scores_gemma":[0.00004327673,0.0025668212,0.033049844,0.0001620651,0.00029461563,0.0010270884,0.0005883382,0.0042055054,0.9483624,0.00029442462,0.009278368,0.0001272111],"about_ca_topic_score_codex":0.0013171234,"about_ca_topic_score_gemma":0.0031693429,"teacher_disagreement_score":0.003912898,"about_ca_system_score_codex":0.00052834896,"about_ca_system_score_gemma":0.00048529476,"threshold_uncertainty_score":0.0206936},"labels":[],"label_agreement":null},{"id":"W2133009452","doi":"10.1109/aps.1997.631510","title":"Impedance image reconstruction using neural networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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 Manitoba","funders":"","keywords":"Electrical impedance; Computer science; Inverse problem; Iterative reconstruction; Computation; Artificial neural network; Electrical impedance tomography; Voltage; Object (grammar); Image (mathematics); Inverse; Electronic engineering; Artificial intelligence; Computer vision; Algorithm; Electrical engineering; Mathematics; Engineering","score_opus":0.011347490738014485,"score_gpt":0.18827702828294693,"score_spread":0.17692953754493246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133009452","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027181633,0.00016958364,0.9706679,0.00022000572,0.000023912104,0.000015477039,0.000027228072,0.00048901007,0.0012052123],"genre_scores_gemma":[0.615295,0.00037808582,0.37918916,0.00012510974,0.00005629697,0.0000711389,0.00013673089,0.00006141446,0.004687001],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998486,0.000039968865,0.0000086137225,0.00003450839,0.000048797545,0.00001956797],"domain_scores_gemma":[0.9995993,0.00020497438,0.000040134117,0.000035275578,0.00010735491,0.000012996579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004189626,0.00041336517,0.00034863153,0.0003461655,0.0001793856,0.0004940409,0.00044535424,0.00089087547,0.0011653734],"category_scores_gemma":[0.002161028,0.0002739791,0.0002859928,0.00035240117,0.00038088538,0.00087428774,0.0005110355,0.00060644787,0.00029306338],"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":[0.00017023603,0.000047455283,0.00077548606,0.000058873702,0.000037026086,0.00012177238,0.0000562448,0.7308236,0.017941456,0.007349762,0.001023625,0.24159448],"study_design_scores_gemma":[0.0000036742185,0.0000060740754,0.0000657563,0.000001637874,0.0000019089337,0.000009000991,0.0000023318164,0.9968195,0.0016040525,0.001337309,0.00014661689,0.0000020784612],"about_ca_topic_score_codex":0.0037622866,"about_ca_topic_score_gemma":0.0032232117,"teacher_disagreement_score":0.0037622866,"about_ca_system_score_codex":0.00046773694,"about_ca_system_score_gemma":0.00036912694,"threshold_uncertainty_score":0.0074807405},"labels":[],"label_agreement":null},{"id":"W2133921174","doi":"10.1109/imtc.2005.1604476","title":"Random-Data Cross-Correlator for Flow Measurement of Bulk Solids in Pneumatic Conveyor Pipes","year":2006,"lang":"en","type":"article","venue":"2005 IEEE Instrumentationand Measurement Technology Conference Proceedings","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Flow (mathematics); Flow measurement; Flow velocity; Acoustics; Computer science; Materials science; Mechanics; Mechanical engineering; Engineering; Physics","score_opus":0.033528934357597615,"score_gpt":0.24666299696830674,"score_spread":0.2131340626107091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133921174","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053824846,0.0003874119,0.9432872,0.00012495735,0.000052664403,0.00006370279,0.00005745361,0.0010773318,0.0011243669],"genre_scores_gemma":[0.59522855,0.0004613449,0.40048644,0.00028886888,0.00013900733,0.00015097622,0.00024780925,0.00016486431,0.002832121],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99898213,0.00033665344,0.00003630038,0.00015640445,0.000427078,0.000061377854],"domain_scores_gemma":[0.9980186,0.0010209329,0.00020788313,0.00022184447,0.0004886447,0.000042174936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017117228,0.00071773044,0.00045181595,0.0007786998,0.0005322115,0.0006433894,0.00090326776,0.00071228377,0.001052349],"category_scores_gemma":[0.0027550927,0.0003433938,0.00028987107,0.00093273947,0.000491259,0.000916794,0.00037575798,0.00062909693,0.00034486424],"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":[0.0016777042,0.0005045899,0.009764313,0.00054357277,0.00022105561,0.00051167846,0.0005264126,0.10941207,0.397374,0.01906152,0.0037608207,0.45664227],"study_design_scores_gemma":[0.000066379595,0.00039178607,0.0036755826,0.00003807093,0.000075663134,0.00039203535,0.000036510082,0.7525569,0.23778541,0.0013252125,0.003594597,0.00006189123],"about_ca_topic_score_codex":0.0014615093,"about_ca_topic_score_gemma":0.0023664674,"teacher_disagreement_score":0.0017117228,"about_ca_system_score_codex":0.0007228302,"about_ca_system_score_gemma":0.0008098782,"threshold_uncertainty_score":0.009052575},"labels":[],"label_agreement":null},{"id":"W2134361203","doi":"10.1109/ccece.2006.277500","title":"Blood Impedance Characterization from Pulsatile Measurements","year":2006,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Pulsatile flow; Electrical impedance; Biomedical engineering; Materials science; Acoustics; Physics; Cardiology; Engineering; Medicine; Electrical engineering","score_opus":0.006869652195686123,"score_gpt":0.16491967301717123,"score_spread":0.15805002082148512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134361203","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10724095,0.00037539218,0.8898551,0.00009666748,0.00004174908,0.00004256374,0.00022275234,0.00087797316,0.0012468081],"genre_scores_gemma":[0.7994356,0.0013686396,0.19512516,0.00012596174,0.00007653223,0.00013666473,0.0005932405,0.00027399615,0.0028642362],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997569,0.000040044626,0.000016975411,0.000051644434,0.00012243786,0.000012058878],"domain_scores_gemma":[0.99956614,0.00022900396,0.00004471721,0.00007268148,0.000072402545,0.000015087073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000300914,0.0003448458,0.00034129148,0.0004931549,0.00013731993,0.00056162407,0.00051768037,0.00031333373,0.0010558984],"category_scores_gemma":[0.0019095198,0.00015997201,0.00015427185,0.0003786839,0.00021396301,0.00062148256,0.00029728172,0.00039966468,0.0004583448],"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":[0.00022543031,0.000041563042,0.00256791,0.00018979551,0.000023164774,0.0001926039,0.00014308492,0.007551788,0.86861926,0.0013695807,0.0004283578,0.11864746],"study_design_scores_gemma":[0.000028869952,0.0003341812,0.009577776,0.000024282575,0.000057194513,0.0013890867,0.000060085335,0.1273659,0.84986013,0.0025114054,0.008756412,0.000034668265],"about_ca_topic_score_codex":0.00018096165,"about_ca_topic_score_gemma":0.00017969529,"teacher_disagreement_score":0.0010558984,"about_ca_system_score_codex":0.00017212128,"about_ca_system_score_gemma":0.00015174843,"threshold_uncertainty_score":0.00353235},"labels":[],"label_agreement":null},{"id":"W2136033789","doi":"10.1109/tmi.2010.2078513","title":"Radio-Frequency Current Density Imaging Based on a 180$^\\circ$ Sample Rotation With Feasibility Study of Full Current Density Vector Reconstruction","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Current (fluid); Current density; Sample (material); Rotation (mathematics); Iterative reconstruction; Radio frequency; Nuclear magnetic resonance; Physics; Computer science; Artificial intelligence; Telecommunications","score_opus":0.010414416423035552,"score_gpt":0.24891078717424192,"score_spread":0.23849637075120636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136033789","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17675714,0.0004221503,0.81852806,0.00033691406,0.00004239208,0.00016290919,0.000060414466,0.00041523462,0.0032747677],"genre_scores_gemma":[0.47645208,0.00028212593,0.5220105,0.0000511341,0.000020742487,0.00011325398,0.00008978457,0.00005233398,0.00092806626],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999569,0.00011295607,0.000017373828,0.000069451584,0.00019508888,0.000036162437],"domain_scores_gemma":[0.99885225,0.0005245998,0.00017601343,0.00022392531,0.00017249236,0.000050666014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013034242,0.0004678935,0.00055408606,0.00024707572,0.00017771362,0.00057144125,0.0006390918,0.00047720975,0.0010629729],"category_scores_gemma":[0.0031583041,0.0003838648,0.00024196414,0.000318966,0.0008949063,0.0010973613,0.00047360145,0.00038497976,0.00026756828],"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":[0.0014814275,0.00027923015,0.0043602446,0.00045143344,0.000071246846,0.0007324965,0.00036324648,0.051906515,0.77098924,0.040047474,0.0012242261,0.12809324],"study_design_scores_gemma":[0.00010401078,0.00067588064,0.0017788361,0.000031588093,0.00003955911,0.0010446145,0.000046342437,0.49762306,0.49096116,0.0023854293,0.005243202,0.0000663745],"about_ca_topic_score_codex":0.000492578,"about_ca_topic_score_gemma":0.00030232736,"teacher_disagreement_score":0.0013034242,"about_ca_system_score_codex":0.00023322723,"about_ca_system_score_gemma":0.000507623,"threshold_uncertainty_score":0.0068932176},"labels":[],"label_agreement":null},{"id":"W2136781649","doi":"10.1109/tbme.2005.857677","title":"Current Density Imaging and Electrically Induced Skin Burns Under Surface Electrodes","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Electrode; Duty cycle; Current (fluid); Materials science; Current density; Anode; Waveform; Biomedical engineering; Skin effect; Optics; Voltage; Medicine; Electrical engineering; Chemistry","score_opus":0.005683099874985661,"score_gpt":0.20821938120784098,"score_spread":0.2025362813328553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136781649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852991,0.0012280552,0.012299505,0.000051288025,0.00001169841,0.000015827525,0.000026526399,0.000034791592,0.001033205],"genre_scores_gemma":[0.9928935,0.0004815789,0.005684886,0.00003785614,0.000010427252,0.000011346267,0.000035291796,0.000008059361,0.0008370673],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998425,0.000042656477,0.0000055577075,0.00002633062,0.000053736392,0.00002910001],"domain_scores_gemma":[0.99976915,0.00010998361,0.000044554767,0.000017361554,0.00003808523,0.0000207945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002342928,0.0002036183,0.00013873981,0.00039555784,0.00011018851,0.00017788076,0.00017438414,0.00029780084,0.00083778065],"category_scores_gemma":[0.0004118987,0.00013349268,0.00009878278,0.00018550377,0.0004049676,0.00028418802,0.0002087971,0.00030210608,0.0001211457],"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":[0.000085506465,0.000011287332,0.00048467112,0.000029852532,0.0000019697786,0.00005226955,0.000024710387,0.00009648156,0.9975721,0.000056563826,0.000008832313,0.0015755817],"study_design_scores_gemma":[0.00000623041,0.0004080629,0.010734076,0.000008843517,0.000009569549,0.0005305549,0.000067426474,0.0022187931,0.9855564,0.00008606821,0.0003683357,0.0000055898054],"about_ca_topic_score_codex":0.00029536404,"about_ca_topic_score_gemma":0.00025278903,"teacher_disagreement_score":0.00083778065,"about_ca_system_score_codex":0.00018148351,"about_ca_system_score_gemma":0.00006294914,"threshold_uncertainty_score":0.0028026104},"labels":[],"label_agreement":null},{"id":"W2137240018","doi":"10.1109/iembs.2007.4352901","title":"Novel Lead Configurations for Robust Bio-Impedance Acquisition","year":2007,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Toronto; Tetra Tech (Canada)","funders":"","keywords":"Multiplexer; Capacitive sensing; Electrical impedance; Multiplexing; Computer science; Electronic engineering; Shunt (medical); Focused Impedance Measurement; Fidelity; Imaging phantom; Biomedical engineering; Medical physics; Electrical engineering; Engineering; Medicine; Telecommunications; Surgery; Radiology","score_opus":0.028232448061767838,"score_gpt":0.23832425225683407,"score_spread":0.21009180419506623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137240018","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08612399,0.002359491,0.9039129,0.0004854355,0.0004497558,0.00026762567,0.00032839095,0.0025749821,0.0034974727],"genre_scores_gemma":[0.42717183,0.0011480473,0.5659039,0.00050968706,0.00033572828,0.00033348994,0.0003333489,0.00030295108,0.0039610523],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990308,0.00026863237,0.000074011194,0.0002340161,0.00032936508,0.00006311855],"domain_scores_gemma":[0.9987012,0.0005443861,0.00018912581,0.00023823918,0.0002529668,0.00007401529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007149963,0.0007540096,0.0005375945,0.00061165827,0.0002675586,0.00094220205,0.0011026663,0.00090430846,0.0031187523],"category_scores_gemma":[0.0022732378,0.00049357204,0.00020513046,0.00058039726,0.0004546714,0.00126424,0.0009546803,0.0005807171,0.0013147728],"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":[0.0010982754,0.00015339164,0.0026945344,0.00049037347,0.00005225452,0.000700561,0.00038680682,0.0029005702,0.7221179,0.006393349,0.0032231568,0.25978887],"study_design_scores_gemma":[0.0005584442,0.004699037,0.010377165,0.00018390428,0.00025774416,0.017324032,0.00023358375,0.037785344,0.83705235,0.0078703435,0.083344385,0.00031368493],"about_ca_topic_score_codex":0.00009847129,"about_ca_topic_score_gemma":0.00026097748,"teacher_disagreement_score":0.0031187523,"about_ca_system_score_codex":0.00026764072,"about_ca_system_score_gemma":0.00022238964,"threshold_uncertainty_score":0.010433257},"labels":[],"label_agreement":null},{"id":"W2140603372","doi":"10.1117/1.jmi.2.1.013502","title":"Single-coil magnetic induction tomographic three-dimensional imaging","year":2015,"lang":"en","type":"article","venue":"Journal of Medical Imaging","topic":"Electrical and Bioimpedance Tomography","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":"Kimberly-Clark (Canada)","funders":"Kimberly-Clark","keywords":"Electromagnetic coil; Eddy current; Electromagnetic induction; Medicine; Nuclear magnetic resonance; Transverse plane; Conductivity; Tomography; Acoustics; Biomedical engineering; Physics; Radiology","score_opus":0.014594185523754933,"score_gpt":0.22667924471527415,"score_spread":0.2120850591915192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140603372","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06489412,0.0011717415,0.9231514,0.0004604079,0.000063443134,0.00012234805,0.0004747425,0.0013217321,0.008340124],"genre_scores_gemma":[0.52753013,0.0015145197,0.46499157,0.00023461558,0.00006432238,0.00019198265,0.00048253383,0.00020795545,0.004782303],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998629,0.000026718584,0.000008362706,0.000026282285,0.000060190705,0.000015503472],"domain_scores_gemma":[0.9996563,0.0001316793,0.00003884149,0.0000640788,0.000084511295,0.000024628125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032311227,0.00028984787,0.00032425896,0.0006892272,0.0001749047,0.0006508541,0.0004067716,0.00045087762,0.0035261484],"category_scores_gemma":[0.0009952793,0.00025226537,0.0002172277,0.00056496897,0.00029078173,0.00051464944,0.0003767675,0.00026928112,0.00082428026],"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":[0.0008201108,0.00010647337,0.007642145,0.00085167936,0.000092892,0.0010626122,0.00028129123,0.024271103,0.62584066,0.009858948,0.006932242,0.32223982],"study_design_scores_gemma":[0.00008737886,0.00055465347,0.016732082,0.00012601963,0.00019596955,0.014573756,0.00021106913,0.3900027,0.5195996,0.00832664,0.049423423,0.00016667462],"about_ca_topic_score_codex":0.00033576984,"about_ca_topic_score_gemma":0.0006959229,"teacher_disagreement_score":0.0035261484,"about_ca_system_score_codex":0.00026789677,"about_ca_system_score_gemma":0.00043730732,"threshold_uncertainty_score":0.011796176},"labels":[],"label_agreement":null},{"id":"W2140847769","doi":"10.1002/cjce.20304","title":"Phase distributions in a gas–liquid–solid circulating fluidized bed riser","year":2010,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fluidized bed combustion; Buoyancy; Mechanics; Volumetric flow rate; Flow (mathematics); Chemistry; Phase (matter); Materials science; Chromatography; Analytical Chemistry (journal); Fluidized bed; Physics","score_opus":0.005246514207027686,"score_gpt":0.20464552137303196,"score_spread":0.19939900716600428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140847769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929622,0.00017628043,0.0063451948,0.00002557195,0.000011766602,0.0000122493875,0.000082485254,0.00013654244,0.00024789147],"genre_scores_gemma":[0.9961324,0.00004462305,0.0034437755,0.000013578886,0.000003268089,0.0000073287183,0.00008132489,0.000015952513,0.00025783008],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963796,0.000062416824,0.000015921003,0.00009228347,0.00013802924,0.00005339339],"domain_scores_gemma":[0.9994868,0.00015634995,0.00006727844,0.000024981278,0.00022057585,0.00004398972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044828356,0.00024074638,0.00038534496,0.000657885,0.00029453618,0.00054752885,0.0004258164,0.000373915,0.000606499],"category_scores_gemma":[0.0007908153,0.00022216224,0.00020382731,0.00038773977,0.00040357577,0.00050813763,0.00024953688,0.00037961535,0.00016233594],"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":[0.00062476733,0.000059360616,0.003930969,0.000046403908,0.000009406807,0.00013789364,0.00014918718,0.0025479083,0.9813859,0.00017850976,0.000073612806,0.010856229],"study_design_scores_gemma":[0.00002521446,0.00058194564,0.011943107,0.000008141163,0.0000142101035,0.00010556041,0.00015515205,0.038694333,0.94749904,0.000101356156,0.00084228144,0.000029712277],"about_ca_topic_score_codex":0.0029189747,"about_ca_topic_score_gemma":0.0019654648,"teacher_disagreement_score":0.0029189747,"about_ca_system_score_codex":0.0005369948,"about_ca_system_score_gemma":0.00025288088,"threshold_uncertainty_score":0.0058039427},"labels":[],"label_agreement":null},{"id":"W2143116044","doi":"10.1109/iembs.2005.1616903","title":"Implementation of Measuring Bio-signals Simultaneously using Time-Sharing Method","year":2005,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"SAIT Polytechnic","funders":"","keywords":"Computer science","score_opus":0.023071230735047965,"score_gpt":0.2926984278594177,"score_spread":0.2696271971243697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143116044","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04653735,0.00031289872,0.94652075,0.00017067081,0.00021940915,0.00017551811,0.00008434496,0.0021474117,0.0038315663],"genre_scores_gemma":[0.50355744,0.00026103551,0.48899361,0.00028982852,0.00017858465,0.0003255722,0.00019040954,0.00010580003,0.006097805],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99851316,0.00025030275,0.00008523995,0.00036564373,0.00071006035,0.00007562602],"domain_scores_gemma":[0.9990018,0.00023886767,0.00012164616,0.0002955882,0.00028525968,0.000056964836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006750405,0.0007522832,0.00055230124,0.00082564173,0.00030387918,0.0007581139,0.0017775926,0.00092876394,0.0036671788],"category_scores_gemma":[0.0014698103,0.00032700424,0.0003294525,0.00044699872,0.00035959025,0.0012231434,0.0007353107,0.00044957016,0.001546784],"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":[0.00057417917,0.000219372,0.0023361486,0.0002835489,0.00011282993,0.0003172759,0.00029786915,0.0019605425,0.69362456,0.005657527,0.0016112638,0.29300478],"study_design_scores_gemma":[0.00018190025,0.0013520638,0.006076407,0.0000628947,0.00018538852,0.003201469,0.00016593731,0.1306331,0.8232061,0.0042754,0.030507188,0.00015209499],"about_ca_topic_score_codex":0.00033040778,"about_ca_topic_score_gemma":0.0005046646,"teacher_disagreement_score":0.0036671788,"about_ca_system_score_codex":0.00028783127,"about_ca_system_score_gemma":0.00032187538,"threshold_uncertainty_score":0.012267947},"labels":[],"label_agreement":null},{"id":"W2144930701","doi":"10.1109/iembs.2006.259502","title":"Comparison of Current Densities measured in a Pig Heart during States of Ventricular Fibrillation and Post-mortem for different Defibrillation Electrode Positions","year":2006,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Defibrillation; Ventricular fibrillation; Cardiology; Current (fluid); Fibrillation; Internal medicine; Electrode; Medicine; Materials science; Electrical engineering; Physics; Atrial fibrillation; Engineering","score_opus":0.010870400260276691,"score_gpt":0.2480949537340606,"score_spread":0.2372245534737839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144930701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952265,0.00033503372,0.0035886983,0.000035307043,0.000013091181,0.000011835755,0.00010977097,0.0000501888,0.0006296241],"genre_scores_gemma":[0.99686974,0.000210647,0.0020258855,0.000032228836,0.000008891197,0.000019334635,0.00016133285,0.000010950709,0.00066102226],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999354,0.000009550556,0.00000443913,0.000018088322,0.000016643922,0.000015848349],"domain_scores_gemma":[0.9995684,0.00018671187,0.00006149165,0.000030967512,0.000106829095,0.00004551391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024786542,0.00011818148,0.00020303224,0.00038215634,0.00010949355,0.00025492717,0.00014719648,0.00042185167,0.00071479566],"category_scores_gemma":[0.0006446584,0.00013025396,0.00012251454,0.00016679219,0.00042115615,0.00027722312,0.00011443208,0.00023861177,0.00017100922],"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":[0.0008869005,0.000038365106,0.0048504327,0.00006149798,0.000019202038,0.00036233693,0.00026016912,0.0002661195,0.9835669,0.00011485031,0.00009481365,0.009478424],"study_design_scores_gemma":[0.00008498264,0.0040046982,0.38553953,0.000049434588,0.00016529522,0.0023183385,0.000715409,0.005320914,0.59947044,0.0004637327,0.001807562,0.000059634272],"about_ca_topic_score_codex":0.00046030545,"about_ca_topic_score_gemma":0.0005745096,"teacher_disagreement_score":0.00071479566,"about_ca_system_score_codex":0.00014057178,"about_ca_system_score_gemma":0.000093160146,"threshold_uncertainty_score":0.0023912787},"labels":[],"label_agreement":null},{"id":"W2146697253","doi":"10.1109/tbme.2003.820403","title":"A New Method for Noninvasive Measurement of Multilayer Tissue Conductivity and Structure Using Divided Electrodes","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Clinical Research Institute","funders":"","keywords":"Conductivity; Electrode; Noise (video); Materials science; Biomedical engineering; Method of steepest descent; Electrical resistivity and conductivity; Biological system; Mathematics; Computer science; Mathematical analysis; Physics; Artificial intelligence; Engineering","score_opus":0.017539503939096215,"score_gpt":0.25895088813711054,"score_spread":0.24141138419801433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146697253","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015124814,0.00027928888,0.9836885,0.00008005372,0.00005455525,0.00003259439,0.00004512961,0.00029918124,0.00039585365],"genre_scores_gemma":[0.102857366,0.00033853218,0.89561504,0.00007541531,0.000029622706,0.000115108734,0.00006443991,0.000039628405,0.0008649026],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99945587,0.00009553877,0.000028083872,0.000113562055,0.00029124305,0.00001571782],"domain_scores_gemma":[0.99900407,0.00041853666,0.00010804444,0.00020159889,0.00022174968,0.000046027573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000536741,0.00053366285,0.00045570065,0.00078409415,0.00019695671,0.0004817372,0.00079839246,0.0007091563,0.0007787959],"category_scores_gemma":[0.0024463185,0.00047893779,0.00038496603,0.00043576036,0.00049783307,0.001352633,0.0008074316,0.00062595314,0.00028963268],"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":[0.00020613834,0.0000857338,0.0023924385,0.00036291123,0.0000983846,0.0001737119,0.00017062825,0.01296959,0.7529231,0.005819511,0.0011258706,0.22367193],"study_design_scores_gemma":[0.00016468765,0.0008194231,0.0058268006,0.00008444907,0.00015526357,0.003048078,0.00009874076,0.52396345,0.43671262,0.009071598,0.019864596,0.00019027753],"about_ca_topic_score_codex":0.00035025188,"about_ca_topic_score_gemma":0.0007528168,"teacher_disagreement_score":0.00079839246,"about_ca_system_score_codex":0.0003393034,"about_ca_system_score_gemma":0.00040339062,"threshold_uncertainty_score":0.0028386116},"labels":[],"label_agreement":null},{"id":"W2150175291","doi":"10.1109/tmi.2008.922691","title":"Current Density Impedance Imaging","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Electrical impedance; Medical imaging; Current (fluid); Biomagnetism; Computer science; Physics; Artificial intelligence; Electrical engineering; Engineering; Magnetic field","score_opus":0.008514780299896305,"score_gpt":0.2321600667337787,"score_spread":0.2236452864338824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150175291","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061618075,0.0030645055,0.9035876,0.00078805647,0.00026541657,0.00045110527,0.0012796659,0.003889004,0.025056584],"genre_scores_gemma":[0.538669,0.0047604195,0.41329175,0.0014004812,0.0002804005,0.00071480515,0.0015740305,0.0007462052,0.038562886],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99908924,0.00011735581,0.000054430187,0.00022624223,0.00043233213,0.000080452875],"domain_scores_gemma":[0.99905413,0.00027038794,0.00009248325,0.00014662388,0.0003799976,0.000056219993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000552465,0.00058504875,0.0006769681,0.0017403275,0.00030863305,0.0011003477,0.001012794,0.0012767093,0.010607507],"category_scores_gemma":[0.0024631806,0.00034680087,0.00030379515,0.00122461,0.0005309965,0.0018291371,0.00093299814,0.0008737447,0.0034684716],"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":[0.0004650315,0.00017639817,0.0033511063,0.0006211701,0.00003980617,0.00054499676,0.0002996802,0.0015477843,0.7224051,0.009986845,0.0069437074,0.25361848],"study_design_scores_gemma":[0.00014211205,0.0007282166,0.012206509,0.0001973341,0.00015037131,0.006568309,0.00029577623,0.0474206,0.82345325,0.008590711,0.100102335,0.00014441017],"about_ca_topic_score_codex":0.00052503555,"about_ca_topic_score_gemma":0.0004993813,"teacher_disagreement_score":0.010607507,"about_ca_system_score_codex":0.0004279689,"about_ca_system_score_gemma":0.00033175494,"threshold_uncertainty_score":0.035485685},"labels":[],"label_agreement":null},{"id":"W2150385570","doi":"10.1109/tbme.2006.883827","title":"Imaging Electrical Impedance From Acoustic Measurements by Means of Magnetoacoustic Tomography With Magnetic Induction (MAT-MI)","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Electromagnetic induction; Electrical impedance tomography; Electrical impedance; Tomography; Acoustics; Materials science; Biomagnetism; Magnetic resonance imaging; Nuclear magnetic resonance; Biomedical engineering; Magnetic field; Electrical engineering; Electromagnetic coil; Physics; Optics; Engineering; Medicine; Radiology","score_opus":0.005370182192347416,"score_gpt":0.1865606287739402,"score_spread":0.18119044658159278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150385570","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31503385,0.00037662926,0.68052554,0.00017392216,0.000027444154,0.0000798616,0.00009814567,0.0004165536,0.0032679476],"genre_scores_gemma":[0.80041015,0.0004363109,0.19812441,0.000029278772,0.000010804504,0.00008970306,0.00011682359,0.000032621552,0.0007499065],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998683,0.000037230166,0.0000065861086,0.000012086658,0.000068007204,0.000007784622],"domain_scores_gemma":[0.99948716,0.00036059975,0.000044715296,0.000040040548,0.0000544079,0.000013079544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003880269,0.0002537581,0.00022134883,0.00024396238,0.00008363789,0.00031997357,0.00022940083,0.0002685146,0.0007372743],"category_scores_gemma":[0.0018230078,0.00014518002,0.00018730368,0.00030844862,0.0003194901,0.0004951825,0.00025720647,0.00029375489,0.00009433812],"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":[0.0005135076,0.000114872186,0.0069359825,0.0003389945,0.000040022107,0.00033501827,0.00020302607,0.49880013,0.40069738,0.009021449,0.00036332037,0.08263635],"study_design_scores_gemma":[0.000041697534,0.00023460067,0.0028637047,0.000014840035,0.00001982705,0.00032778003,0.000030915133,0.88409686,0.108656324,0.0018344556,0.001851113,0.000027953212],"about_ca_topic_score_codex":0.00059193344,"about_ca_topic_score_gemma":0.0006438228,"teacher_disagreement_score":0.0007372743,"about_ca_system_score_codex":0.0002087499,"about_ca_system_score_gemma":0.00027969317,"threshold_uncertainty_score":0.0024664402},"labels":[],"label_agreement":null},{"id":"W2152654840","doi":"10.1109/tbme.2011.2158212","title":"Computed Basis Functions for Finite Element Analysis Based on Tomographic Data","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Electrical and Bioimpedance Tomography","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":"Montreal Neurological Institute and Hospital; McGill University; Blackberry (Canada)","funders":"","keywords":"Voxel; Finite element method; Cube (algebra); Basis (linear algebra); Basis function; Dimension (graph theory); Mathematical analysis; Dipole; Computer science; Mathematics; Algorithm; Physics; Geometry; Artificial intelligence; Combinatorics","score_opus":0.02658705510827181,"score_gpt":0.2158713955624443,"score_spread":0.1892843404541725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152654840","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019769832,0.00007721832,0.9968514,0.000042174324,0.000021775379,0.000024193054,0.00006761475,0.00042400815,0.00051470014],"genre_scores_gemma":[0.073344424,0.000258861,0.92391515,0.00005847634,0.00002034401,0.00040443137,0.0004224055,0.00043293793,0.0011430046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995215,0.00016188053,0.00003010254,0.000029233002,0.00023437724,0.00002290181],"domain_scores_gemma":[0.99871755,0.00072297984,0.00005807871,0.00018270736,0.00028312497,0.000035541627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008323419,0.0007849946,0.0006644591,0.0010782265,0.00045953933,0.0010204074,0.001355643,0.0010876023,0.0041569127],"category_scores_gemma":[0.0060059405,0.00054881524,0.00059069804,0.001062775,0.0006876345,0.00084329053,0.0009962474,0.0015407967,0.0020667817],"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":[0.00012895405,0.000070795075,0.0007414186,0.00026618826,0.00005307452,0.0001374831,0.00015862133,0.7858103,0.010481507,0.057974484,0.003835078,0.14034215],"study_design_scores_gemma":[0.00000877246,0.0000069747316,0.000047914258,0.00001361246,0.0000026644493,0.00001739822,0.00001316577,0.9898986,0.0012581341,0.00666769,0.0020586003,0.000006449724],"about_ca_topic_score_codex":0.0031788507,"about_ca_topic_score_gemma":0.0030067964,"teacher_disagreement_score":0.0041569127,"about_ca_system_score_codex":0.00056412927,"about_ca_system_score_gemma":0.0010519446,"threshold_uncertainty_score":0.0139063},"labels":[],"label_agreement":null},{"id":"W2152716935","doi":"10.2528/pier09052003","title":"A TRUST REGION SUBPROBLEM FOR 3D ELECTRICAL IMPEDANCE TOMOGRAPHY INVERSE PROBLEM USING EXPERIMENTAL DATA","year":2009,"lang":"en","type":"article","venue":"Electromagnetic waves","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Electrical impedance tomography; Inverse problem; Tomography; Inverse; Electrical impedance; Trust region; Computer science; Physics; Mathematics; Mathematical analysis; Engineering; Electrical engineering; Geometry; Optics; Computer security","score_opus":0.022654963350086425,"score_gpt":0.24819873983217247,"score_spread":0.22554377648208604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152716935","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037360133,0.00008126121,0.9955205,0.00015313087,0.000007942662,0.000025744068,0.000025362473,0.00007174704,0.00037823708],"genre_scores_gemma":[0.28687522,0.000672291,0.7069609,0.00014949727,0.00008065526,0.0006205946,0.00038882683,0.00026215814,0.0039897943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881196,0.00049574353,0.00006748772,0.00024310009,0.00032797066,0.00005378451],"domain_scores_gemma":[0.99491596,0.0037500332,0.00043606665,0.00029051708,0.0005036596,0.00010363617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002954687,0.0012511564,0.0013986183,0.00071404804,0.00045127384,0.0015096334,0.0010955486,0.0024428347,0.0017577341],"category_scores_gemma":[0.010941641,0.0010040561,0.0010369655,0.00054149394,0.0020305908,0.002104396,0.002255098,0.00182226,0.0004295805],"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":[0.00016651685,0.00005126451,0.00075433945,0.00043006428,0.000069987735,0.000295234,0.00027086306,0.9073964,0.0110078715,0.031502765,0.0012060812,0.046848726],"study_design_scores_gemma":[0.0000059242907,0.000021068614,0.0000876814,0.000009440989,0.0000046766777,0.000034438654,0.0000111451,0.9922236,0.0014244581,0.0057286387,0.00043939232,0.000009515526],"about_ca_topic_score_codex":0.0043745437,"about_ca_topic_score_gemma":0.001656884,"teacher_disagreement_score":0.0043745437,"about_ca_system_score_codex":0.0011111981,"about_ca_system_score_gemma":0.001675128,"threshold_uncertainty_score":0.015626073},"labels":[],"label_agreement":null},{"id":"W2152746484","doi":"10.1109/iscas.2007.378188","title":"A CMOS-Based Capacitive Sensor for Laboratory-On-Chips: Design and Experimental Results","year":2007,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Capacitive sensing; Capacitance; CMOS; Electronic engineering; Interface (matter); Electronic circuit; Chip; Electrical engineering; Parasitic capacitance; Computer science; Materials science; Electrode; Engineering; Physics","score_opus":0.016062724221946843,"score_gpt":0.24360188253491047,"score_spread":0.22753915831296362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152746484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6876968,0.0032664672,0.29440734,0.0015040358,0.0002925491,0.0013603059,0.001151163,0.0028137418,0.007507549],"genre_scores_gemma":[0.83943397,0.0007047938,0.15607631,0.00031384465,0.00005954623,0.00042152058,0.0003415882,0.0001013101,0.0025471726],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990952,0.00016366408,0.000044147913,0.00016089453,0.0004729228,0.00006312593],"domain_scores_gemma":[0.9992988,0.00019594727,0.00008855634,0.000083140454,0.00027734082,0.000056256184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086874596,0.00055469427,0.00038122138,0.00027684358,0.00029613182,0.00046969234,0.0011772807,0.0007337679,0.0015610355],"category_scores_gemma":[0.0012629024,0.00018125004,0.00017187839,0.0003067173,0.00043937715,0.00074670545,0.00029249868,0.0004320508,0.00040445372],"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":[0.00024574375,0.00032676154,0.002775319,0.00045014996,0.00005458408,0.00016759308,0.00019772827,0.0035419872,0.9583846,0.0020700737,0.0019081467,0.029877368],"study_design_scores_gemma":[0.00011571617,0.0025647876,0.0036537212,0.000024041756,0.000055741184,0.0004924703,0.00007722722,0.021922646,0.96046335,0.00026271463,0.010315888,0.00005169701],"about_ca_topic_score_codex":0.00074491824,"about_ca_topic_score_gemma":0.00070807507,"teacher_disagreement_score":0.0015610355,"about_ca_system_score_codex":0.00063588936,"about_ca_system_score_gemma":0.00054285204,"threshold_uncertainty_score":0.0052222013},"labels":[],"label_agreement":null},{"id":"W2156062145","doi":"10.1109/tmi.2009.2022540","title":"<i>In Vivo</i> Impedance Imaging With Total Variation Regularization","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":252,"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; University of Ottawa","funders":"National Cancer Institute","keywords":"Electrical impedance tomography; Regularization (linguistics); Total variation denoising; Iterative reconstruction; Inverse problem; Algorithm; Computer science; Classification of discontinuities; Minification; Tomography; Mathematics; Mathematical optimization; Artificial intelligence; Image (mathematics); Physics; Optics; Mathematical analysis","score_opus":0.0021073152753957867,"score_gpt":0.19395594068730718,"score_spread":0.1918486254119114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156062145","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01913243,0.0004724361,0.9773719,0.0006635949,0.000050229904,0.000021731375,0.00008196003,0.00030990358,0.0018958801],"genre_scores_gemma":[0.3674393,0.0019449778,0.6231565,0.00039899486,0.00013152699,0.00012922336,0.00045606337,0.0003586055,0.0059848293],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971634,0.00012452208,0.000019671652,0.000039007715,0.00008353538,0.000016889027],"domain_scores_gemma":[0.99966276,0.00015839051,0.00006271486,0.00006315131,0.000042179363,0.000010823974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059735647,0.0004894312,0.00032338253,0.00026597048,0.0001834346,0.00071610574,0.0004846783,0.000767608,0.0017909076],"category_scores_gemma":[0.001553301,0.00021291009,0.00037052025,0.00032390922,0.00070480653,0.0005505539,0.0005183025,0.00083314104,0.00054252875],"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":[0.00034952458,0.00018139133,0.0027766784,0.0006369396,0.00011204926,0.00091233256,0.0002587174,0.26219302,0.56477433,0.0662579,0.009166186,0.092381],"study_design_scores_gemma":[0.000019182127,0.00013277489,0.0012501187,0.000025396708,0.000023833123,0.0012506213,0.000023496494,0.73838097,0.23667501,0.0108017,0.011376031,0.00004078838],"about_ca_topic_score_codex":0.0005912506,"about_ca_topic_score_gemma":0.0005220011,"teacher_disagreement_score":0.0017909076,"about_ca_system_score_codex":0.00026616149,"about_ca_system_score_gemma":0.00022427177,"threshold_uncertainty_score":0.0059912205},"labels":[],"label_agreement":null},{"id":"W2157161069","doi":"10.1088/0967-3334/28/7/s03","title":"Electrode placement configurations for 3D EIT","year":2007,"lang":"ar","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":75,"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; University of Ottawa","funders":"","keywords":"Electrode; Noise immunity; Planar; Noise (video); Computer science; Figure of merit; Acoustics; Materials science; Image (mathematics); Computer vision; Physics; Telecommunications; Transmission (telecommunications)","score_opus":0.06700816609470685,"score_gpt":0.26727949993089095,"score_spread":0.20027133383618412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157161069","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07902887,0.0016238706,0.91607463,0.00025578678,0.0001282254,0.00011146748,0.00016605154,0.0011668727,0.0014442233],"genre_scores_gemma":[0.38106915,0.00079389,0.61654323,0.000119445365,0.000046003057,0.00009450402,0.00020006787,0.00015800596,0.0009756808],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989423,0.00038656069,0.000099582794,0.00019501177,0.00032881746,0.000047727382],"domain_scores_gemma":[0.9969312,0.0017249399,0.00030142572,0.00055824,0.0003923516,0.00009195271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010673017,0.0008042147,0.00049685367,0.00077973044,0.00022864027,0.00084769254,0.0009992203,0.0009167329,0.002162723],"category_scores_gemma":[0.006013951,0.0004678919,0.00033950855,0.0006222753,0.0005188843,0.0011036226,0.0008783993,0.0004302691,0.0008324003],"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":[0.0011934158,0.00007978436,0.005272698,0.00074321614,0.00010988779,0.0015562931,0.00037528615,0.03538192,0.65952593,0.0032409406,0.0015852216,0.2909354],"study_design_scores_gemma":[0.00025930224,0.002941017,0.018064024,0.00018244852,0.00034198433,0.024865078,0.00044985372,0.12670808,0.79203343,0.0052589215,0.028499674,0.00039631096],"about_ca_topic_score_codex":0.00021292407,"about_ca_topic_score_gemma":0.00053406536,"teacher_disagreement_score":0.002162723,"about_ca_system_score_codex":0.00023418272,"about_ca_system_score_gemma":0.0002748603,"threshold_uncertainty_score":0.00723505},"labels":[],"label_agreement":null},{"id":"W2157881792","doi":"10.1109/cic.2001.977584","title":"Effect of number of electrodes, electrode displacement, and RMS measurement noise on the localization accuracy of ECG inverse problem","year":2002,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Suomen Kulttuurirahasto","keywords":"Electrode; Torso; Noise (video); Body surface; Displacement (psychology); Inverse problem; Electrical conductor; Conductor; Inverse; Acoustics; Materials science; Mathematics; Physics; Mathematical analysis; Computer science; Artificial intelligence; Geometry; Medicine","score_opus":0.009287318350870682,"score_gpt":0.21036103984828472,"score_spread":0.20107372149741404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157881792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8105002,0.0011863156,0.18576118,0.00029359604,0.00008751418,0.000036386755,0.00006604871,0.00052825344,0.001540542],"genre_scores_gemma":[0.9460583,0.00023178282,0.05310756,0.00005467339,0.000024635849,0.000024002748,0.00006485868,0.000077663135,0.00035664314],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975568,0.0012864422,0.00021735509,0.0003001947,0.00052354485,0.00011561424],"domain_scores_gemma":[0.9468295,0.04710228,0.0014107238,0.0027287856,0.0016554679,0.00027319297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020542988,0.00080421777,0.0005911016,0.0003434126,0.000249047,0.0004929641,0.0004283093,0.0009774524,0.0008440092],"category_scores_gemma":[0.03477426,0.00043233548,0.00033414442,0.0003191747,0.00054309994,0.000814111,0.0006295834,0.00036807996,0.00021518873],"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":[0.0064782226,0.00023653703,0.034651812,0.0008305967,0.00023638966,0.0014990296,0.00056396716,0.5789607,0.19387233,0.0016584304,0.00043860901,0.18057336],"study_design_scores_gemma":[0.00024935487,0.002352337,0.03825652,0.00012839067,0.00038590172,0.0023293402,0.00025317154,0.8001956,0.15284905,0.0013469511,0.001544455,0.00010891129],"about_ca_topic_score_codex":0.0011685202,"about_ca_topic_score_gemma":0.0014467197,"teacher_disagreement_score":0.0020542988,"about_ca_system_score_codex":0.00025950096,"about_ca_system_score_gemma":0.00034103938,"threshold_uncertainty_score":0.010864317},"labels":[],"label_agreement":null},{"id":"W2158048787","doi":"10.1109/tbme.2008.2003103","title":"Real-Time Management of Faulty Electrodes in Electrical Impedance Tomography","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":41,"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; Polytechnique Montréal","funders":"","keywords":"Electrical impedance tomography; Electrical impedance; Electrode; Computer science; Reciprocity (cultural anthropology); Voltage; Sensitivity (control systems); Iterative reconstruction; Artificial intelligence; Electrical resistivity tomography; A priori and a posteriori; Electrical engineering; Electronic engineering; Engineering; Physics","score_opus":0.005072191102836867,"score_gpt":0.19357467005426143,"score_spread":0.18850247895142458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158048787","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05990607,0.00028546422,0.9377074,0.00017702865,0.000033701617,0.000039901613,0.000015514493,0.0014826972,0.00035217367],"genre_scores_gemma":[0.60218215,0.000261445,0.3964809,0.00007422649,0.000045772416,0.000057411642,0.000055671702,0.00023900026,0.00060340227],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99842584,0.0005961568,0.000097575015,0.00022306853,0.0005866271,0.00007069373],"domain_scores_gemma":[0.9953383,0.002350986,0.00087342516,0.0007251885,0.000584851,0.00012721465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017591052,0.00085157977,0.00058601395,0.00076555193,0.00029222888,0.0009560225,0.0013380655,0.0009947569,0.000790845],"category_scores_gemma":[0.012770046,0.00036820964,0.0002343292,0.00037441336,0.00068630517,0.0018752204,0.0009845119,0.00055435864,0.0005211145],"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":[0.0010456785,0.00010924188,0.0118290335,0.00021597737,0.000051960178,0.00077007536,0.00064882595,0.034431566,0.21304375,0.0021277096,0.0014932798,0.73423284],"study_design_scores_gemma":[0.00008980633,0.0007567501,0.014255877,0.00004619352,0.00009467733,0.0050250925,0.00027525768,0.64918375,0.3189238,0.00540168,0.0058263247,0.000120886],"about_ca_topic_score_codex":0.00033714593,"about_ca_topic_score_gemma":0.00047778737,"teacher_disagreement_score":0.0017591052,"about_ca_system_score_codex":0.00027228333,"about_ca_system_score_gemma":0.0003673244,"threshold_uncertainty_score":0.009303212},"labels":[],"label_agreement":null},{"id":"W2160495993","doi":"10.1109/iembs.2006.260787","title":"Gradient Distortion Correction for Low Frequency Current Density Imaging","year":2006,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Imaging phantom; Distortion (music); Calibration; Curl (programming language); Computation; Nonlinear distortion; Current (fluid); Physics; Computer science; Optics; Algorithm; Telecommunications","score_opus":0.003485388187849565,"score_gpt":0.18740619905866487,"score_spread":0.1839208108708153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160495993","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012343987,0.00046235527,0.9810239,0.00020403748,0.0001768659,0.000084294465,0.00011313028,0.0027314082,0.0028600623],"genre_scores_gemma":[0.102790914,0.00045796615,0.8888569,0.00015901185,0.000048641177,0.00009911989,0.0003800567,0.0011701871,0.00603714],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992637,0.00010277008,0.000036537444,0.000097267366,0.00045124712,0.00004850591],"domain_scores_gemma":[0.9978884,0.0006022382,0.0002235203,0.0004702714,0.0007527303,0.000062763036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080215925,0.00082996365,0.00044397663,0.0009273417,0.00049283396,0.00093225174,0.0011968173,0.00070124393,0.008106741],"category_scores_gemma":[0.006055148,0.00038207552,0.00033816267,0.0011447372,0.00043697873,0.00074758043,0.000677129,0.0011242047,0.003089288],"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":[0.00039583503,0.00007169346,0.001899683,0.00057889783,0.00006326883,0.00043034047,0.00031599138,0.014964043,0.36550435,0.01937142,0.010505628,0.5858989],"study_design_scores_gemma":[0.000049820945,0.00019473906,0.0059339604,0.000058362468,0.000077251956,0.0035707576,0.00008309611,0.19029815,0.6982177,0.005833737,0.0955172,0.00016512984],"about_ca_topic_score_codex":0.0020358204,"about_ca_topic_score_gemma":0.0030599514,"teacher_disagreement_score":0.008106741,"about_ca_system_score_codex":0.0006998505,"about_ca_system_score_gemma":0.0009654886,"threshold_uncertainty_score":0.027119756},"labels":[],"label_agreement":null},{"id":"W2163162343","doi":"10.1109/iembs.1995.575251","title":"Electrical impedance tomography: characterization of in-vitro performance","year":2002,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Polytechnique Montréal","funders":"","keywords":"Electrical impedance tomography; Electrical impedance; Tomography; Electrical resistivity and conductivity; Position (finance); Conductivity; Amplitude; Plane (geometry); Image plane; Materials science; Electrical resistivity tomography; Acoustics; Biomedical engineering; Electrode; Optics; Image (mathematics); Computer science; Mathematics; Physics; Artificial intelligence; Geometry; Engineering; Electrical engineering","score_opus":0.005931258395576907,"score_gpt":0.16796198957924452,"score_spread":0.16203073118366762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163162343","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42934963,0.0049960194,0.5599847,0.00089751167,0.000195717,0.00018894479,0.00067530613,0.0009479048,0.002764242],"genre_scores_gemma":[0.93245006,0.0034016138,0.060480352,0.0002205456,0.00008175962,0.00016335284,0.0006624898,0.00016352524,0.0023761536],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998806,0.00044273518,0.000108536246,0.00015830502,0.00041173107,0.00007269066],"domain_scores_gemma":[0.99576616,0.0027324897,0.00036669284,0.00041522132,0.0006352438,0.000084219275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015256308,0.000639854,0.00064081483,0.0003993884,0.00024123464,0.00094130205,0.00070092053,0.0012203994,0.0011126037],"category_scores_gemma":[0.0076730377,0.00038785473,0.00026868156,0.00056820427,0.0006050187,0.0013730341,0.0004208062,0.0005285398,0.0005717387],"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":[0.00019658779,0.00005420936,0.0020052444,0.0002382161,0.000030870215,0.000118153475,0.00014468681,0.0024437872,0.9824814,0.00035280336,0.00019641877,0.011737497],"study_design_scores_gemma":[0.000016667953,0.0003970083,0.004050784,0.000017144454,0.000038293812,0.0005102427,0.00005753787,0.0163047,0.9759552,0.0002433331,0.0023858896,0.000023219263],"about_ca_topic_score_codex":0.0007262428,"about_ca_topic_score_gemma":0.00057026814,"teacher_disagreement_score":0.0015256308,"about_ca_system_score_codex":0.00047422803,"about_ca_system_score_gemma":0.00029665913,"threshold_uncertainty_score":0.008068383},"labels":[],"label_agreement":null},{"id":"W2166292184","doi":"10.1109/mnrc.2008.4683398","title":"Toward a 3D model of Differential Electric-Field Sensitive Field Effect Transistor (DeFET)","year":2008,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"CMC Microsystems; University of Calgary","keywords":"Electric field; Differential (mechanical device); Field-effect transistor; Field (mathematics); Transistor; Electrical engineering; Computer science; Optoelectronics; Physics; Electronic engineering; Engineering; Voltage; Quantum mechanics; Mathematics","score_opus":0.009395541071566978,"score_gpt":0.1856095732061956,"score_spread":0.1762140321346286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166292184","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0099496115,0.0006010312,0.9647999,0.00085532496,0.00016585263,0.00006747545,0.00037183645,0.0005071829,0.022681786],"genre_scores_gemma":[0.418053,0.00393426,0.5365622,0.0011809265,0.00024071618,0.000764508,0.00080311764,0.0004945444,0.037966616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978286,0.00003755691,0.000008205229,0.000039155264,0.000114610346,0.000017570635],"domain_scores_gemma":[0.99981385,0.00005863258,0.000020989375,0.00002390102,0.000069280766,0.000013385998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031304616,0.0005249257,0.00062571216,0.0006080921,0.00039992368,0.0012434159,0.0014904268,0.0017274265,0.002456995],"category_scores_gemma":[0.00077609916,0.00057127076,0.00115099,0.00044139472,0.0008719529,0.0013494759,0.00048140762,0.0009140579,0.0010841783],"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":[0.00003837519,0.000036131107,0.0005211349,0.0001285221,0.000035159952,0.00035579788,0.00017268203,0.80030453,0.018989583,0.16213338,0.0030871495,0.014197577],"study_design_scores_gemma":[0.0000072160856,0.000015601332,0.00008395914,0.000010490275,0.0000065284103,0.00009586241,0.000013201203,0.97941077,0.0011040507,0.011156116,0.008082304,0.000013867198],"about_ca_topic_score_codex":0.005149666,"about_ca_topic_score_gemma":0.0035571218,"teacher_disagreement_score":0.005149666,"about_ca_system_score_codex":0.0009464663,"about_ca_system_score_gemma":0.0009931623,"threshold_uncertainty_score":0.010239363},"labels":[],"label_agreement":null},{"id":"W2167493615","doi":"10.1109/iembs.1995.575254","title":"Electrical impedance tomography: regularized reconstruction using a variance uniformization constraint","year":2002,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Polytechnique Montréal","funders":"","keywords":"Electrical impedance tomography; Regularization (linguistics); Uniformization (probability theory); Inverse problem; Algorithm; Mathematical optimization; Applied mathematics; Tomography; Mathematics; Regularization perspectives on support vector machines; Computer science; Nonlinear system; Tikhonov regularization; Mathematical analysis; Statistics; Artificial intelligence; Physics","score_opus":0.012086919013463204,"score_gpt":0.19058967617844552,"score_spread":0.17850275716498232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167493615","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031955289,0.00010268798,0.9960478,0.00012735999,0.00001371532,0.000008418177,0.000013172421,0.00006463757,0.00042666987],"genre_scores_gemma":[0.18277685,0.0006768241,0.81256634,0.00025331925,0.00015987299,0.00010652214,0.00020745568,0.00018062691,0.0030721398],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990715,0.00040997754,0.000043859494,0.0001483783,0.00029078807,0.000035518704],"domain_scores_gemma":[0.99885285,0.0006385351,0.00014326569,0.0001611546,0.00017319435,0.00003097005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015320932,0.0005829856,0.0006865809,0.00047130775,0.0002094331,0.00081613084,0.00083529163,0.0011346136,0.0006815198],"category_scores_gemma":[0.004358008,0.00041242503,0.0005808029,0.00047076828,0.00080217683,0.0011946617,0.001299922,0.0008825353,0.00026981646],"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":[0.00029832518,0.0001069112,0.0014283065,0.00034975226,0.00019122522,0.0003853745,0.00022476134,0.5730087,0.10166177,0.11612636,0.003455083,0.20276341],"study_design_scores_gemma":[0.000015422385,0.00003202591,0.00021089,0.00001092883,0.000013457211,0.00011277691,0.0000058408173,0.98234725,0.0069067073,0.008220845,0.0021062598,0.000017669106],"about_ca_topic_score_codex":0.00085360144,"about_ca_topic_score_gemma":0.000955838,"teacher_disagreement_score":0.0015320932,"about_ca_system_score_codex":0.00035632803,"about_ca_system_score_gemma":0.00053091673,"threshold_uncertainty_score":0.008102596},"labels":[],"label_agreement":null},{"id":"W2168524226","doi":"10.1109/tbme.2009.2036371","title":"A 3-D Hybrid Finite Element Model to Characterize the Electrical Behavior of Cutaneous Tissues","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Polytechnique Montréal","funders":"","keywords":"Finite element method; Materials science; Computer science; Engineering; Electronic engineering; Mechanical engineering; Structural engineering","score_opus":0.009607934641187655,"score_gpt":0.21506609988890857,"score_spread":0.20545816524772093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168524226","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021504229,0.0001613098,0.9732194,0.00015220624,0.000040900522,0.00006183822,0.00020641027,0.0003562649,0.0042975103],"genre_scores_gemma":[0.6459808,0.00057725335,0.33736053,0.00025717216,0.000035938298,0.00063820614,0.00044537184,0.00012306278,0.014581742],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987257,0.000027981512,0.000008401061,0.00002326129,0.0000591497,0.000008667325],"domain_scores_gemma":[0.99978477,0.00011602482,0.000021522943,0.00002536997,0.00004141702,0.000010820784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019342294,0.00048536976,0.00041001904,0.00051612983,0.00023044056,0.00055004825,0.00077396736,0.0014477879,0.0022257683],"category_scores_gemma":[0.00054725073,0.00038338534,0.00075844565,0.00038960238,0.0003449002,0.0005224997,0.00043265437,0.00046796078,0.00060251635],"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":[0.000030426709,0.000038135702,0.00053893094,0.000051581806,0.000015915499,0.00014325288,0.00006466495,0.956184,0.027024891,0.0039957142,0.0004830531,0.011429408],"study_design_scores_gemma":[0.0000030146075,0.000018090404,0.0001322433,0.0000046009027,0.0000043286245,0.00006983102,0.000008779642,0.99636465,0.0016600294,0.00059938605,0.0011292222,0.0000058940013],"about_ca_topic_score_codex":0.0016030158,"about_ca_topic_score_gemma":0.0021001897,"teacher_disagreement_score":0.0022257683,"about_ca_system_score_codex":0.0003133445,"about_ca_system_score_gemma":0.00039544,"threshold_uncertainty_score":0.007445872},"labels":[],"label_agreement":null},{"id":"W2169409592","doi":"10.1109/aps.1994.408028","title":"Electrical impedance computed tomography in three-dimensional imaging","year":2002,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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 Manitoba","funders":"","keywords":"Electrical impedance tomography; Discretization; Computer science; Finite element method; Electrical impedance; Iterative reconstruction; Electrical resistivity tomography; Permittivity; Image quality; Poisson's equation; Laplace transform; Laplace's equation; Medical imaging; Tomography; Algorithm; Image (mathematics); Boundary value problem; Electronic engineering; Artificial intelligence; Engineering; Mathematics; Electrical resistivity and conductivity; Electrical engineering; Mathematical analysis; Optics; Physics; Dielectric","score_opus":0.007059077220285168,"score_gpt":0.18533548472545477,"score_spread":0.1782764075051696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169409592","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034997002,0.07182806,0.8964845,0.0031888953,0.002165699,0.00010962052,0.00015670313,0.00043353174,0.022133337],"genre_scores_gemma":[0.12953395,0.114551626,0.7171735,0.002675762,0.0032570434,0.000507853,0.00040680383,0.00036869934,0.03152477],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989825,0.00040075884,0.00008598209,0.00013903821,0.0003538354,0.000037850037],"domain_scores_gemma":[0.99826175,0.00097586616,0.00012670313,0.00021735462,0.00036449777,0.00005379109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011933316,0.00078297086,0.00083445746,0.0013587769,0.00040837622,0.002077657,0.0011959843,0.0024298758,0.0035315843],"category_scores_gemma":[0.0040794243,0.0004347366,0.00054797996,0.0030466556,0.002330079,0.0016850614,0.0014133245,0.0024428475,0.0022564395],"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":[0.00007275248,0.000070697206,0.0019810416,0.0015183531,0.0000763882,0.00180376,0.00059514656,0.051328667,0.015354241,0.62462413,0.021817548,0.28075734],"study_design_scores_gemma":[0.00003879542,0.00013713673,0.0016792588,0.0009537903,0.00007624921,0.0041150083,0.0002767191,0.12315693,0.010580605,0.37556222,0.48324347,0.00017981888],"about_ca_topic_score_codex":0.0012641521,"about_ca_topic_score_gemma":0.00091857027,"teacher_disagreement_score":0.0035315843,"about_ca_system_score_codex":0.0008032459,"about_ca_system_score_gemma":0.0006822889,"threshold_uncertainty_score":0.011814296},"labels":[],"label_agreement":null},{"id":"W2171345267","doi":"10.1109/tmi.2008.2012161","title":"Multislice Radio-Frequency Current Density Imaging","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Multislice; Imaging phantom; Radio frequency; Magnetic resonance imaging; Nuclear magnetic resonance; Noise (video); Physics; Optics; Computer science; Artificial intelligence; Radiology; Medicine; Image (mathematics); Telecommunications","score_opus":0.00625409404747915,"score_gpt":0.237407472840655,"score_spread":0.23115337879317585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171345267","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17677999,0.0022819417,0.811952,0.00033565378,0.00005396693,0.00015023675,0.00037006396,0.0016430372,0.006433213],"genre_scores_gemma":[0.5911527,0.0013014628,0.40316308,0.0001578596,0.00004130422,0.000081512335,0.0005141043,0.00016307374,0.0034248808],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998234,0.000025954509,0.000011472385,0.000041648713,0.00007250432,0.00002517385],"domain_scores_gemma":[0.9995154,0.00016776702,0.000058808364,0.00008134593,0.00013017774,0.000046375375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004899211,0.00044855283,0.000397667,0.00095366983,0.00018206482,0.0004578319,0.00048719026,0.00058794604,0.0031205497],"category_scores_gemma":[0.001030598,0.00032104086,0.00023288812,0.00031097318,0.0002913895,0.0007845381,0.00043354183,0.00037234294,0.0007899842],"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":[0.00039837923,0.00009266495,0.0027347023,0.0003685523,0.000042781016,0.00076056126,0.00013751347,0.009161264,0.87417567,0.0036054514,0.0010537939,0.107468605],"study_design_scores_gemma":[0.000047514786,0.00067282544,0.008048724,0.000070793314,0.00008457109,0.0076925093,0.00008633982,0.092419595,0.87666386,0.0018978178,0.012226793,0.000088681816],"about_ca_topic_score_codex":0.00027932116,"about_ca_topic_score_gemma":0.00051673164,"teacher_disagreement_score":0.0031205497,"about_ca_system_score_codex":0.00019807406,"about_ca_system_score_gemma":0.00026694982,"threshold_uncertainty_score":0.010439277},"labels":[],"label_agreement":null},{"id":"W2187897921","doi":"10.22215/etd/2010-08964","title":"The effect of boundary shape deformation on two-dimensional electrical impedance tomography","year":2010,"lang":"en","type":"dissertation","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Boundary (topology); Electrical impedance tomography; Humanities; Physics; Electrical engineering; Electrical impedance; Engineering; Mathematics; Art; Mathematical analysis","score_opus":0.002160487916700988,"score_gpt":0.21373189028229803,"score_spread":0.21157140236559704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2187897921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8118109,0.0006871503,0.17937364,0.00065471616,0.00015847139,0.000051755007,0.00015064533,0.0007119256,0.006400735],"genre_scores_gemma":[0.9861704,0.00024141699,0.011396964,0.00007756441,0.000015612946,0.000011608666,0.000080169106,0.00013525461,0.0018709975],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950063,0.00014438697,0.000023883507,0.00008033984,0.00020477321,0.0000460052],"domain_scores_gemma":[0.99657637,0.0026077298,0.00019053549,0.0003541407,0.00018544633,0.000085764936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069141894,0.00032527454,0.00032345374,0.0002599308,0.00023537021,0.0009611777,0.00030746125,0.0008833745,0.0016874205],"category_scores_gemma":[0.0069887787,0.00031627464,0.00025977695,0.0003053332,0.0009591577,0.0011143713,0.0007027639,0.0004859945,0.0004131345],"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":[0.0012949514,0.00013936452,0.0054460457,0.00015076115,0.000034150464,0.0008589124,0.0006303023,0.100837655,0.8046763,0.0024811751,0.0006357913,0.08281456],"study_design_scores_gemma":[0.000036799673,0.00029402715,0.019967355,0.000031650834,0.00004403752,0.0010328443,0.00021545023,0.35635263,0.618614,0.0012184257,0.002112873,0.000079901576],"about_ca_topic_score_codex":0.00058033835,"about_ca_topic_score_gemma":0.0007386805,"teacher_disagreement_score":0.0016874205,"about_ca_system_score_codex":0.00036345597,"about_ca_system_score_gemma":0.00021523162,"threshold_uncertainty_score":0.0056449175},"labels":[],"label_agreement":null},{"id":"W2220809057","doi":"10.1088/0967-3334/36/6/1093","title":"A comparison framework for temporal image reconstructions in electrical impedance tomography","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance tomography; Temporal resolution; Aliasing; Interpolation (computer graphics); Computer science; Iterative reconstruction; Artificial intelligence; Frame (networking); Frame rate; Computer vision; Kalman filter; Reconstruction algorithm; Temporal database; Algorithm; Tomography; Image (mathematics); Filter (signal processing); Data mining; Physics; Optics","score_opus":0.11697014656326953,"score_gpt":0.3120539148404567,"score_spread":0.19508376827718715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2220809057","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002553413,0.00020136245,0.9959766,0.000052994674,0.000024098308,0.000032110784,0.000036478636,0.00015316307,0.0009697454],"genre_scores_gemma":[0.08635494,0.00045229116,0.9110809,0.000054562523,0.00007105431,0.00021872579,0.00023622692,0.00028235014,0.0012489718],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960603,0.001959706,0.00026567606,0.0004369852,0.0011018973,0.00017541018],"domain_scores_gemma":[0.99192387,0.004179685,0.00089195266,0.00064355566,0.002188657,0.00017231272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011169059,0.00093147665,0.00080123794,0.0024501465,0.0006693929,0.0029359232,0.0022589595,0.0014593794,0.0039247433],"category_scores_gemma":[0.022280363,0.0004759845,0.0014133226,0.0018282597,0.0012912583,0.0033162974,0.0022602936,0.0010869907,0.0006780059],"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":[0.00066972774,0.00016065795,0.0022889643,0.0006034109,0.00017968693,0.00032867448,0.00037132515,0.27588058,0.029180948,0.41683513,0.0024530538,0.2710479],"study_design_scores_gemma":[0.000041921157,0.00043869417,0.0013921662,0.00010101202,0.00007241731,0.0004038443,0.00011483784,0.9143858,0.011156758,0.059099834,0.0127287805,0.000064063344],"about_ca_topic_score_codex":0.0024089175,"about_ca_topic_score_gemma":0.001968346,"teacher_disagreement_score":0.011169059,"about_ca_system_score_codex":0.0014085859,"about_ca_system_score_gemma":0.001363239,"threshold_uncertainty_score":0.059068322},"labels":[],"label_agreement":null},{"id":"W2235975608","doi":"10.5617/jeb.1489","title":"Compression-dependency of soft tissue bioimpedance for <i>in-vivo</i> and <i>in-vitro</i> tissue testing","year":2015,"lang":"en","type":"article","venue":"Journal of Electrical Bioimpedance","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biomedical engineering; Soft tissue; Materials science; In vivo; Compression (physics); Muscle tissue; Tissue culture; Biophysics; In vitro; Chemistry; Anatomy; Pathology; Composite material; Medicine; Biology; Biochemistry","score_opus":0.019900854132242615,"score_gpt":0.2574016760698532,"score_spread":0.23750082193761057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2235975608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907232,0.0015986334,0.006261049,0.00006482967,0.000040305167,0.00004497005,0.00011275934,0.000044422028,0.0011097995],"genre_scores_gemma":[0.9950411,0.00053890917,0.0033310822,0.000051703384,0.000015875896,0.000045212717,0.00016841153,0.000013965939,0.00079378916],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994708,0.00009125713,0.000038582883,0.000059661765,0.00028550412,0.000054272325],"domain_scores_gemma":[0.998395,0.00075912784,0.00032996634,0.000113974165,0.00031569193,0.00008631353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042626637,0.00047977694,0.00020316218,0.00034243183,0.0001453253,0.00020867864,0.0002547814,0.00033318062,0.0016610159],"category_scores_gemma":[0.0013837564,0.00018957727,0.00020055505,0.00028622465,0.0003783994,0.0003016102,0.0002066123,0.00038914246,0.00021498672],"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":[0.00007823651,0.000019731733,0.0003680242,0.000042042528,0.0000043174314,0.00004970132,0.00003492539,0.000108287175,0.99748564,0.000009126363,0.000012494808,0.0017874688],"study_design_scores_gemma":[0.0000031970442,0.00064786384,0.010767365,0.000006316694,0.000012483948,0.00014926825,0.000059733462,0.00093658286,0.98702747,0.000014300678,0.00036937743,0.000006115271],"about_ca_topic_score_codex":0.00048794033,"about_ca_topic_score_gemma":0.00093835685,"teacher_disagreement_score":0.0016610159,"about_ca_system_score_codex":0.00021510379,"about_ca_system_score_gemma":0.00012761551,"threshold_uncertainty_score":0.0055565834},"labels":[],"label_agreement":null},{"id":"W2247380962","doi":"10.1007/s11255-015-1159-x","title":"Appraisal of a redundant report on lanthanum carbonate","year":2015,"lang":"en","type":"letter","venue":"International Urology and Nephrology","topic":"Electrical and Bioimpedance Tomography","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":"Western University","funders":"","keywords":"Lanthanum carbonate; Medicine; Nephrology; Carbonate; Lanthanum; Hepatology; Internal medicine; Geochemistry; Geology; Inorganic chemistry; Metallurgy; Kidney disease; Hyperphosphatemia; Chemistry; Materials science","score_opus":0.010651472547929327,"score_gpt":0.244180033066847,"score_spread":0.23352856051891765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2247380962","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049972846,0.010728409,0.00071752374,0.8747125,0.09749095,0.00006649512,0.00010377179,0.00009350757,0.011089456],"genre_scores_gemma":[0.03737817,0.0060364217,0.00095670635,0.74672735,0.1969705,0.00007104693,0.00008730275,0.000086712294,0.011685882],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962949,0.0010282965,0.0006915254,0.00048341163,0.0009866634,0.0005150958],"domain_scores_gemma":[0.9844445,0.00966262,0.002366006,0.00070426654,0.0018239362,0.0009986581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028680721,0.0010490353,0.0014524445,0.0012603722,0.00260269,0.0032353187,0.0030571464,0.057582837,0.0037938461],"category_scores_gemma":[0.032359038,0.001028497,0.0017106989,0.0008091465,0.0028664705,0.0023730418,0.0015251834,0.02509789,0.0033897366],"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":[0.00025765566,0.000091926835,0.0016374576,0.00048286628,0.000073722775,0.19987987,0.0007587198,0.00016868763,0.0014837987,0.005460072,0.77831894,0.01138627],"study_design_scores_gemma":[0.0001474322,0.00027141927,0.0017400942,0.0010281812,0.00017790927,0.05947367,0.0011428681,0.00071229704,0.0016406347,0.0046667564,0.92894113,0.00005764373],"about_ca_topic_score_codex":0.0018604774,"about_ca_topic_score_gemma":0.002917407,"teacher_disagreement_score":0.057582837,"about_ca_system_score_codex":0.0051834616,"about_ca_system_score_gemma":0.0027511877,"threshold_uncertainty_score":0.037608802},"labels":[],"label_agreement":null},{"id":"W2260559105","doi":"10.5539/mas.v10n4p150","title":"Comparisons of Sensor Position for Electrical Capacitance Volume Tomography (Ecvt)","year":2016,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Higher Education, Malaysia","keywords":"Multiphysics; Capacitance; Electrical capacitance tomography; Materials science; Sensitivity (control systems); Position (finance); Acoustics; Cross section (physics); Image sensor; Optics; Permittivity; Tomography; Dielectric; Physics; Finite element method; Electrode; Electronic engineering; Optoelectronics; Engineering","score_opus":0.008955385903546343,"score_gpt":0.20637979624474384,"score_spread":0.1974244103411975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2260559105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63328457,0.0021371914,0.3549666,0.00037426106,0.00020347814,0.00008736624,0.00054469414,0.0011253603,0.0072765686],"genre_scores_gemma":[0.88666075,0.0004989807,0.11105344,0.00007148017,0.000009947335,0.000044622462,0.00024944774,0.00009921627,0.0013121032],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993293,0.000119186036,0.000035953344,0.00016948009,0.00029783457,0.000048256516],"domain_scores_gemma":[0.9983803,0.00075061753,0.00018263435,0.00018667534,0.00045532902,0.000044327022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088024884,0.00044017387,0.00026846235,0.00054642855,0.0001595003,0.0006964736,0.0004560187,0.00070171215,0.0014151711],"category_scores_gemma":[0.003034801,0.00022054013,0.00020129012,0.00061428075,0.000303931,0.0007920034,0.00035440965,0.0002990621,0.00025952022],"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":[0.0010473992,0.000092371105,0.007053971,0.00039643882,0.00004899873,0.0005061775,0.00037752395,0.019234568,0.8373863,0.0032341771,0.0011640762,0.12945801],"study_design_scores_gemma":[0.000029891586,0.0008653324,0.02051059,0.000035334306,0.000079983045,0.000987406,0.00025832318,0.10629212,0.8628213,0.00066986424,0.0073697544,0.00007997862],"about_ca_topic_score_codex":0.0006425729,"about_ca_topic_score_gemma":0.001127299,"teacher_disagreement_score":0.0014151711,"about_ca_system_score_codex":0.000413259,"about_ca_system_score_gemma":0.00032074994,"threshold_uncertainty_score":0.004734218},"labels":[],"label_agreement":null},{"id":"W2273309875","doi":"10.1186/s13054-015-1173-5","title":"Electrical impedance tomography (EIT) for quantification of pulmonary edema in acute lung injury","year":2016,"lang":"en","type":"article","venue":"Critical Care","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":70,"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":"Veterinärmedizinische Universität Wien; Else Kröner-Fresenius-Stiftung","keywords":"Medicine; Electrical impedance tomography; Lung; Pulmonary edema; Edema; Anesthesia; Tomography; Nuclear medicine; Radiology; Internal medicine","score_opus":0.009388003503508468,"score_gpt":0.27419434491597766,"score_spread":0.26480634141246917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2273309875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68878776,0.029467167,0.27718192,0.0005376865,0.00017600888,0.00038747097,0.0004324596,0.00043511463,0.0025944656],"genre_scores_gemma":[0.90050745,0.009881828,0.08744309,0.00023408982,0.00010707401,0.0004124099,0.00027867948,0.00003086403,0.001104638],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994462,0.00024196689,0.000035356254,0.00007912544,0.00017184616,0.000025541605],"domain_scores_gemma":[0.9993575,0.00026139815,0.00020870309,0.000036695084,0.00009816612,0.000037503287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001011458,0.0005976383,0.0004186512,0.000791708,0.00011211344,0.00039087542,0.0002759034,0.00057395844,0.00088136137],"category_scores_gemma":[0.0012924998,0.00017086953,0.00022104704,0.00045220595,0.00045846385,0.0005118713,0.00038873943,0.0005987775,0.00033289677],"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":[0.0014601022,0.0002069367,0.043849714,0.00059530314,0.00008429227,0.00033591109,0.00007634994,0.0010304383,0.8307335,0.00031685614,0.0003822924,0.120928384],"study_design_scores_gemma":[0.0002944251,0.012262305,0.4015358,0.00037891482,0.0005924476,0.01022049,0.0004594416,0.048964687,0.5114971,0.0025306465,0.011119789,0.00014408042],"about_ca_topic_score_codex":0.000120727665,"about_ca_topic_score_gemma":0.00025119423,"teacher_disagreement_score":0.001011458,"about_ca_system_score_codex":0.00017172229,"about_ca_system_score_gemma":0.00019884288,"threshold_uncertainty_score":0.0053491592},"labels":[],"label_agreement":null},{"id":"W2318357458","doi":"10.1016/j.cherd.2016.03.028","title":"Analysis of mixing in an aerated reactor equipped with the coaxial mixer through electrical resistance tomography and response surface method","year":2016,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Impeller; Mixing (physics); Coaxial; Rotational speed; Mechanics; Viscosity; Aeration; Volumetric flow rate; Flow (mathematics); Materials science; Axial compressor; Rotation (mathematics); Mechanical engineering; Engineering; Composite material; Physics; Mathematics; Waste management; Geometry","score_opus":0.006933548235952259,"score_gpt":0.21454681004134799,"score_spread":0.20761326180539572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318357458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.971348,0.0003959474,0.026935458,0.00006832897,0.00003686764,0.000028960134,0.00014486517,0.00019509194,0.0008465393],"genre_scores_gemma":[0.97348297,0.00030901568,0.024465766,0.000036216643,0.000017925548,0.000028074615,0.00016869753,0.000061877385,0.0014294642],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964,0.00006833913,0.000024403,0.00010419282,0.00012857755,0.00003450198],"domain_scores_gemma":[0.9997466,0.000103961145,0.000058779402,0.000023921075,0.00004800959,0.000018717905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049565075,0.00045842738,0.00041441625,0.00039772672,0.0004069461,0.0005973968,0.00033365106,0.0006466324,0.00074108515],"category_scores_gemma":[0.0005994419,0.00023311161,0.00034316798,0.00037604556,0.00042809907,0.0005361969,0.00019444736,0.0005982432,0.00019078879],"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":[0.00015675403,0.000016615455,0.0004388677,0.000017148559,0.0000062041418,0.000030860163,0.000030936604,0.00017187568,0.9977787,0.000066949935,0.000010811355,0.0012742288],"study_design_scores_gemma":[0.000009447427,0.00018187473,0.0032735518,0.0000022516929,0.000016971344,0.000041308216,0.000032743494,0.0053017586,0.9906899,0.000037974823,0.0004033248,0.000008937677],"about_ca_topic_score_codex":0.0006928596,"about_ca_topic_score_gemma":0.00056928815,"teacher_disagreement_score":0.00074108515,"about_ca_system_score_codex":0.00022111154,"about_ca_system_score_gemma":0.0003068776,"threshold_uncertainty_score":0.002621293},"labels":[],"label_agreement":null},{"id":"W2321813163","doi":"10.1109/embc.2014.6943780","title":"A novel approach to quantification of real and artifactual components of current density imaging for phantom and live heart","year":2014,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; Toronto General Hospital; Toronto Metropolitan University","funders":"Canadian Institutes of Health Research","keywords":"Imaging phantom; Computer science; Reliability (semiconductor); Current (fluid); Range (aeronautics); Artificial intelligence; Artifact (error); Algorithm; Pattern recognition (psychology); Physics; Engineering","score_opus":0.032774324455513294,"score_gpt":0.25429604305352166,"score_spread":0.22152171859800837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321813163","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025787079,0.00014019327,0.9965808,0.00003574129,0.000014501841,0.00004040185,0.00003118719,0.0002927424,0.0002856816],"genre_scores_gemma":[0.0505686,0.0003055079,0.9479543,0.000047906844,0.000020452613,0.00014716182,0.00008943717,0.00007826527,0.0007884068],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992899,0.00014807355,0.000047274192,0.0001506089,0.0003358381,0.000028297818],"domain_scores_gemma":[0.9986136,0.00056915777,0.00021854218,0.00025297166,0.00029152812,0.000054185766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014103706,0.0009842906,0.0006148243,0.0018868911,0.00030907858,0.0014942233,0.001229909,0.0011961699,0.0010875621],"category_scores_gemma":[0.0039840597,0.0005400528,0.0004609731,0.00089996,0.0008729479,0.0010782162,0.0010929909,0.001094227,0.0003864552],"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":[0.00024528377,0.00018325166,0.0030662974,0.0009440709,0.00012449478,0.0003599254,0.00042954608,0.032425262,0.6563963,0.026643857,0.0013139913,0.27786762],"study_design_scores_gemma":[0.000027957172,0.0006415082,0.0074512376,0.00010618812,0.00016002933,0.0046876376,0.00012803066,0.5714409,0.38610166,0.010689915,0.01838531,0.00017974194],"about_ca_topic_score_codex":0.00060850725,"about_ca_topic_score_gemma":0.0010958064,"teacher_disagreement_score":0.0018868911,"about_ca_system_score_codex":0.00069637597,"about_ca_system_score_gemma":0.0008784516,"threshold_uncertainty_score":0.007458806},"labels":[],"label_agreement":null},{"id":"W2324612681","doi":"10.3183/npprj-2014-29-03-p392-400","title":"Mixing quality in low consistency fibre suspensions downstream of an in-line mechanical mixer measured by electrical resistance tomography","year":2014,"lang":"en","type":"article","venue":"Nordic Pulp & Paper Research Journal","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":5,"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 British Columbia","funders":"","keywords":"Mixing (physics); Materials science; Consistency (knowledge bases); Line (geometry); Downstream (manufacturing); Electrical resistance and conductance; Composite material; Tomography; Static mixer; Mechanical engineering; Optics; Engineering; Computer science; Physics; Artificial intelligence; Mathematics","score_opus":0.028388473452206135,"score_gpt":0.3120746831274973,"score_spread":0.2836862096752912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2324612681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951198,0.000119195785,0.0041174423,0.00003382906,0.000013378244,0.000008871155,0.000051082894,0.000057975325,0.00047838636],"genre_scores_gemma":[0.99503434,0.000070176306,0.0032503011,0.00003159178,0.000005517394,0.000008144302,0.00009596476,0.000035591547,0.0014683033],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996704,0.000043042826,0.000018744844,0.00008799405,0.00013396113,0.000045871187],"domain_scores_gemma":[0.9992994,0.00026377864,0.00020159043,0.000031037667,0.0001575614,0.000046609945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005683321,0.00024809665,0.00029366696,0.0002429179,0.00046789547,0.0010186984,0.00028587802,0.0006520483,0.0013479386],"category_scores_gemma":[0.0011136449,0.00028796933,0.00022397024,0.00016572862,0.00040650103,0.00074154127,0.00030752868,0.00071618595,0.0003913202],"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":[0.0002437155,0.000014040663,0.0008753286,0.000008287113,0.0000024537853,0.000021374955,0.00003956238,0.000106544554,0.99787045,0.000026837855,0.000012256835,0.0007790759],"study_design_scores_gemma":[0.000012975609,0.00035823815,0.0109296795,0.000003886054,0.00001790308,0.00003461717,0.00008189599,0.0032150212,0.9850847,0.000024101888,0.00022659374,0.00001054477],"about_ca_topic_score_codex":0.0014184281,"about_ca_topic_score_gemma":0.0015831444,"teacher_disagreement_score":0.0014184281,"about_ca_system_score_codex":0.0004874952,"about_ca_system_score_gemma":0.0002798911,"threshold_uncertainty_score":0.00450927},"labels":[],"label_agreement":null},{"id":"W2329753344","doi":"10.4133/sageep.28-075","title":"CHARACTERIZATION OF AN SIP SAMPLE HOLDER: LESSONS FROM EXPERIMENT","year":2015,"lang":"en","type":"article","venue":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2015","topic":"Electrical and Bioimpedance Tomography","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":"Polytechnique Montréal","funders":"","keywords":"Characterization (materials science); Sample (material); Computer science; Materials science; Nanotechnology; Chemistry","score_opus":0.009317707554184842,"score_gpt":0.19729933974732036,"score_spread":0.18798163219313552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329753344","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058651477,0.011873059,0.904673,0.010416554,0.0015361311,0.0009826645,0.0006633999,0.0017553177,0.009448499],"genre_scores_gemma":[0.1920918,0.011857475,0.78350604,0.0015573993,0.0006591024,0.000876501,0.00068929617,0.0009882614,0.007774194],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9947976,0.0012396227,0.00030634436,0.00086395955,0.002548603,0.00024391872],"domain_scores_gemma":[0.98784876,0.003956034,0.00039013888,0.0028064149,0.004326588,0.0006721977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012106698,0.001369705,0.0014865545,0.0009232321,0.0010244782,0.0027735257,0.004710368,0.002645388,0.002505523],"category_scores_gemma":[0.0212988,0.00083545846,0.00093309325,0.00083966914,0.0039411853,0.004438175,0.0023365172,0.0051219305,0.0023696823],"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":[0.0005157649,0.0013459981,0.007867867,0.005140284,0.00020051374,0.0024977457,0.003645221,0.025381263,0.5289494,0.056762647,0.016374463,0.3513188],"study_design_scores_gemma":[0.00016001063,0.003064432,0.0057089305,0.0012757392,0.00013739674,0.004445361,0.0020891493,0.042524762,0.68151844,0.05517167,0.20345175,0.00045238543],"about_ca_topic_score_codex":0.0018787205,"about_ca_topic_score_gemma":0.001503157,"teacher_disagreement_score":0.012106698,"about_ca_system_score_codex":0.0021543466,"about_ca_system_score_gemma":0.0015311226,"threshold_uncertainty_score":0.06402713},"labels":[],"label_agreement":null},{"id":"W2343336496","doi":"","title":"Conception d'un module d'électrodes actives pour un système de tomographie d'impédance électrique bifréquence","year":2012,"lang":"fr","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Physics; Humanities; Philosophy","score_opus":0.007572682902958933,"score_gpt":0.2124167895561953,"score_spread":0.20484410665323638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343336496","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04093181,0.0004488371,0.9503328,0.0003539896,0.00015581373,0.00032345697,0.00030207355,0.00329446,0.0038567947],"genre_scores_gemma":[0.3278699,0.0003969289,0.6539196,0.00043411934,0.00007871775,0.0004878697,0.00039464416,0.00021574352,0.016202465],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999501,0.00007847544,0.000029712464,0.00014798228,0.00019097222,0.000051841304],"domain_scores_gemma":[0.9993988,0.0001427548,0.00005781682,0.000061404506,0.00027892567,0.000060315175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008198918,0.00076546334,0.0005464251,0.00093759963,0.00039727276,0.0014121238,0.001405547,0.0016832383,0.0077440445],"category_scores_gemma":[0.0010258763,0.0004806155,0.00037549247,0.00045063035,0.00044237383,0.0013044234,0.00057352916,0.0004821876,0.0022187585],"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":[0.00065381906,0.000110227425,0.0030547637,0.00043851254,0.00008489381,0.00077573326,0.00060961006,0.008861273,0.6875521,0.0098438915,0.004356207,0.28365892],"study_design_scores_gemma":[0.00018192425,0.0018931278,0.013224597,0.0002786717,0.00027079167,0.0031513805,0.00036659412,0.15836684,0.6785992,0.0038377156,0.13961583,0.00021336631],"about_ca_topic_score_codex":0.0014839614,"about_ca_topic_score_gemma":0.0010864664,"teacher_disagreement_score":0.0077440445,"about_ca_system_score_codex":0.0006938325,"about_ca_system_score_gemma":0.0006465421,"threshold_uncertainty_score":0.025906384},"labels":[],"label_agreement":null},{"id":"W234588678","doi":"10.1088/0967-3334/36/6/1119","title":"Tracking boundary movement and exterior shape modelling in lung EIT imaging","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Engineering and Physical Sciences Research Council","keywords":"Electrical impedance tomography; Robustness (evolution); Boundary (topology); Computer science; Tracking (education); Movement (music); Computer vision; Jacobian matrix and determinant; Artificial intelligence; Tomography; Acoustics; Physics; Mathematics; Optics; Mathematical analysis","score_opus":0.07189792184516243,"score_gpt":0.23937306923898222,"score_spread":0.1674751473938198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W234588678","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10500216,0.00024722356,0.8934731,0.00011040675,0.000026450129,0.000027691438,0.00001920773,0.00037139282,0.00072234677],"genre_scores_gemma":[0.82095456,0.0002925148,0.1774313,0.00005472064,0.000018380913,0.00003196176,0.00009209189,0.00012107686,0.0010033916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999587,0.00012899113,0.000030322573,0.00007183376,0.00016078056,0.000021151598],"domain_scores_gemma":[0.99863786,0.0008328217,0.000193641,0.00018347868,0.00012016657,0.00003207005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009216,0.00035537762,0.00040311727,0.0004220699,0.00018144198,0.0009768235,0.00049441634,0.00092514907,0.00049673335],"category_scores_gemma":[0.006557263,0.00023153028,0.00036502045,0.00029823216,0.0005743188,0.0010142627,0.000614368,0.00039645517,0.00020481073],"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":[0.00036773772,0.00006109473,0.007997677,0.00017080177,0.000045636334,0.00043894257,0.00039059404,0.6893584,0.11263685,0.004489613,0.00035624485,0.18368636],"study_design_scores_gemma":[0.000007656936,0.000096474476,0.0028655804,0.000015242253,0.000011684834,0.00038968935,0.000049234415,0.9697353,0.024309251,0.0014339337,0.0010660675,0.000019838355],"about_ca_topic_score_codex":0.0014382263,"about_ca_topic_score_gemma":0.0011395633,"teacher_disagreement_score":0.0014382263,"about_ca_system_score_codex":0.000329073,"about_ca_system_score_gemma":0.00035168073,"threshold_uncertainty_score":0.004873991},"labels":[],"label_agreement":null},{"id":"W2347246378","doi":"","title":"A High Speed Data Acquisition System Of ECT Based On DSP","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Data acquisition; Computer science; Interrupt; Computer hardware; Field-programmable gate array; Transmission (telecommunications); Digital signal processing; Principal (computer security); Embedded system; Operating system; Microcontroller; Telecommunications","score_opus":0.008399761769783486,"score_gpt":0.21589584815337598,"score_spread":0.2074960863835925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2347246378","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034406576,0.00070768566,0.9459714,0.0002449216,0.00028613815,0.00039574626,0.0005267895,0.00589735,0.011563344],"genre_scores_gemma":[0.38810667,0.00081256207,0.583103,0.00054001,0.00024562966,0.0006451958,0.0013276519,0.00032225242,0.024897099],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99960357,0.000058987458,0.000033557706,0.00007986073,0.00019909976,0.000024902558],"domain_scores_gemma":[0.9995041,0.00008947345,0.000029979883,0.00006641845,0.00027825547,0.000031787487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004939973,0.00045030852,0.00044716024,0.000841681,0.0003554822,0.0005679168,0.0007184521,0.00047738515,0.0105599705],"category_scores_gemma":[0.0008489289,0.00024106517,0.00015056942,0.0008054628,0.00019983084,0.00066570484,0.00034706082,0.00054352486,0.0024195863],"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":[0.00058420416,0.00012087775,0.0020779094,0.00057136134,0.00005027845,0.0003723435,0.00021788517,0.0032522622,0.45294222,0.0069438154,0.011327876,0.521539],"study_design_scores_gemma":[0.00062066753,0.002035906,0.015884725,0.00017200653,0.00024352038,0.0065140044,0.00018505401,0.17087093,0.5751929,0.0048528127,0.22322594,0.0002015571],"about_ca_topic_score_codex":0.00055680546,"about_ca_topic_score_gemma":0.00051991333,"teacher_disagreement_score":0.0105599705,"about_ca_system_score_codex":0.00025792108,"about_ca_system_score_gemma":0.00059646467,"threshold_uncertainty_score":0.03532666},"labels":[],"label_agreement":null},{"id":"W2352480763","doi":"","title":"Electrical Capacitance Tomography Identification Algorithm Based on GMM Model","year":2014,"lang":"en","type":"article","venue":"Harbin Ligong Daxue xuebao","topic":"Electrical and Bioimpedance Tomography","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":"Science North","funders":"","keywords":"Electrical capacitance tomography; Mixture model; Capacitance; Gaussian; Algorithm; Computer science; Artificial intelligence; Pattern recognition (psychology); Identification (biology); Tomography; Physics","score_opus":0.005101972829197663,"score_gpt":0.18506994324314985,"score_spread":0.17996797041395218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2352480763","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00316944,0.00011987721,0.9947588,0.00007836401,0.000037856324,0.000025565352,0.000030700492,0.0008065567,0.00097281986],"genre_scores_gemma":[0.3195157,0.00084161933,0.66879886,0.00023839796,0.00013824804,0.000262592,0.00055364467,0.0003570585,0.009293816],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994831,0.000068296365,0.000026706855,0.0001677736,0.00019859469,0.00005545269],"domain_scores_gemma":[0.9996617,0.00007183337,0.000028702249,0.00002966463,0.00018824085,0.000019770858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004937732,0.0007889986,0.00073505216,0.0010977224,0.00057583075,0.0008608818,0.00092495605,0.0009374518,0.0025810956],"category_scores_gemma":[0.0015432193,0.00034074788,0.0007909777,0.0009502066,0.00040054618,0.0013899112,0.0007587644,0.0008958593,0.0011967585],"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":[0.00016157291,0.00005250329,0.0026524528,0.0001469143,0.00007107293,0.00020375509,0.00022207444,0.17597063,0.032450233,0.017908517,0.0090994695,0.7610608],"study_design_scores_gemma":[0.000011223528,0.000027663973,0.0008468588,0.000011044445,0.00001910877,0.00022712133,0.000037364483,0.97913593,0.009043539,0.005566737,0.0050418805,0.00003155086],"about_ca_topic_score_codex":0.007027021,"about_ca_topic_score_gemma":0.0038245618,"teacher_disagreement_score":0.007027021,"about_ca_system_score_codex":0.00065704685,"about_ca_system_score_gemma":0.0010634687,"threshold_uncertainty_score":0.013972282},"labels":[],"label_agreement":null},{"id":"W2387021198","doi":"10.1162/neco_a_00846","title":"1D Current Source Density (CSD) Estimation in Inverse Theory: A Unified Framework for Higher-Order Spectral Regularization of Quadrature and Expansion-Type CSD Methods","year":2016,"lang":"en","type":"article","venue":"Neural Computation","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Basis function; Mathematics; Inverse problem; Singular value decomposition; Tikhonov regularization; Applied mathematics; Algorithm; Kernel density estimation; Regularization (linguistics); Discretization; Mathematical optimization; Mathematical analysis; Computer science; Statistics; Estimator; Artificial intelligence","score_opus":0.01822347487386484,"score_gpt":0.29820510285166246,"score_spread":0.27998162797779763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2387021198","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006877549,0.0000791501,0.9989428,0.00004445744,0.000009312833,0.000006441811,0.0000062394806,0.000028164863,0.00019567824],"genre_scores_gemma":[0.064954326,0.0006209234,0.93274266,0.00009893782,0.00009067338,0.00011655179,0.00009819794,0.00015532674,0.0011224193],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99909365,0.00029354938,0.000066147484,0.000120526776,0.00038093646,0.00004527515],"domain_scores_gemma":[0.9980824,0.0009262193,0.00015494316,0.00027101126,0.00048871274,0.00007681458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032310926,0.00090207823,0.00084964506,0.0013358091,0.00040536062,0.0014826024,0.0015377927,0.0014045495,0.0009483972],"category_scores_gemma":[0.0052632834,0.00047769968,0.0011108493,0.00092916755,0.0016875748,0.0017976861,0.0020828985,0.0023328753,0.00038377405],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058304708,0.000078241166,0.00065980776,0.00024144571,0.000058776677,0.00009512043,0.00024592772,0.48197526,0.024349164,0.39521137,0.0016266003,0.09539992],"study_design_scores_gemma":[0.000004744333,0.000012847589,0.000070310845,0.00001078151,0.0000041962126,0.00002024323,0.00000714468,0.9772185,0.0017015893,0.019541148,0.0013962248,0.000012148654],"about_ca_topic_score_codex":0.0021494832,"about_ca_topic_score_gemma":0.0015621834,"teacher_disagreement_score":0.0032310926,"about_ca_system_score_codex":0.0010166105,"about_ca_system_score_gemma":0.0012165832,"threshold_uncertainty_score":0.017087877},"labels":[],"label_agreement":null},{"id":"W2406997757","doi":"10.1088/0967-3334/37/6/785","title":"3D EIT image reconstruction with GREIT","year":2016,"lang":"ar","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":82,"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":"Electrical impedance tomography; Sensitivity (control systems); Iterative reconstruction; Computer science; Transverse plane; Planar; Computer vision; Plane (geometry); Electrode; Artificial intelligence; Algorithm; Tomography; Physics; Optics; Mathematics; Electronic engineering; Engineering; Computer graphics (images); Medicine; Radiology; Geometry","score_opus":0.033516404329802116,"score_gpt":0.1985866112622304,"score_spread":0.1650702069324283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2406997757","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009565317,0.00011211896,0.9855703,0.000108384396,0.000027792972,0.000051474653,0.00023329166,0.00279298,0.0015383256],"genre_scores_gemma":[0.09446346,0.00018612166,0.9008295,0.00014288446,0.000017901732,0.00012470236,0.00086760893,0.0011111967,0.0022566603],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996557,0.00006801616,0.00002988229,0.00006625719,0.00015629767,0.000023734347],"domain_scores_gemma":[0.9991648,0.00029355966,0.00008974683,0.00017628762,0.00023846913,0.00003721004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010338761,0.00070730085,0.00042214376,0.00083962065,0.00023229668,0.0016927965,0.00080806663,0.0013203424,0.0070144357],"category_scores_gemma":[0.0034989882,0.0005113661,0.0007224934,0.0007794456,0.00032371783,0.0007857838,0.00094139396,0.0010152705,0.002476108],"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":[0.00092169014,0.00019130958,0.005895271,0.0006455298,0.00021261323,0.00103215,0.00048872165,0.3281507,0.13580514,0.018253252,0.013800282,0.49460334],"study_design_scores_gemma":[0.00004332309,0.000107999585,0.0017933435,0.00005279043,0.00003800279,0.0011306818,0.00008785614,0.8940069,0.0822905,0.004930648,0.015407946,0.00010992968],"about_ca_topic_score_codex":0.0013127702,"about_ca_topic_score_gemma":0.0017916177,"teacher_disagreement_score":0.0070144357,"about_ca_system_score_codex":0.00034680087,"about_ca_system_score_gemma":0.0006259591,"threshold_uncertainty_score":0.023465574},"labels":[],"label_agreement":null},{"id":"W2407569315","doi":"10.1088/0967-3334/37/6/922","title":"Electrical impedance tomography in 3D using two electrode planes: characterization and evaluation","year":2016,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Imaging phantom; Electrode; Tomography; Biomedical engineering; Materials science; Supine position; Iterative reconstruction; Plane (geometry); Acoustics; Computer science; Computer vision; Physics; Optics; Mathematics; Geometry; Medicine","score_opus":0.05100983886805489,"score_gpt":0.2568797658278417,"score_spread":0.20586992695978684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2407569315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6619167,0.0012787017,0.33426058,0.00028797856,0.000033480632,0.00015040967,0.00041600122,0.00047651536,0.0011796693],"genre_scores_gemma":[0.90294915,0.0011033067,0.094872944,0.000096151605,0.000022984183,0.000106282445,0.00023581546,0.000063159714,0.00055019575],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99926347,0.00026710678,0.000054787597,0.000070284426,0.00031094483,0.00003343613],"domain_scores_gemma":[0.99788505,0.001191773,0.00021795288,0.00026318987,0.00037121773,0.00007077413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014206986,0.00049053115,0.00044973838,0.0005790052,0.00009805628,0.00081214134,0.00036586056,0.00084549317,0.0008651224],"category_scores_gemma":[0.004697536,0.00030835482,0.00028179053,0.0006035181,0.0005913861,0.00065548456,0.00054168317,0.00023812472,0.0002450062],"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":[0.0012811366,0.0001533683,0.024289627,0.000500283,0.00009924267,0.0008655634,0.0005503236,0.021927627,0.8438715,0.00089980237,0.00037337106,0.10518823],"study_design_scores_gemma":[0.00015207705,0.0038461904,0.11040836,0.00008377742,0.00026209783,0.011435841,0.0005024951,0.15839969,0.70784897,0.001210126,0.005639178,0.00021124605],"about_ca_topic_score_codex":0.00046578303,"about_ca_topic_score_gemma":0.00045905862,"teacher_disagreement_score":0.0014206986,"about_ca_system_score_codex":0.00020770656,"about_ca_system_score_gemma":0.00020241797,"threshold_uncertainty_score":0.007513404},"labels":[],"label_agreement":null},{"id":"W2467341995","doi":"10.3997/2214-4609.201601542","title":"Joint Full Waveform Inversion and Travel Time Tomography","year":2016,"lang":"en","type":"article","venue":"78th EAGE Conference and Exhibition 2016","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Initialization; Computer science; Inversion (geology); Algorithm; Tomography; Synthetic data; Regularization (linguistics); Waveform; Mathematical optimization; Mathematics; Artificial intelligence; Geology; Telecommunications; Physics","score_opus":0.011521576594916474,"score_gpt":0.1780408930549748,"score_spread":0.16651931646005833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2467341995","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015357869,0.00011222852,0.9814416,0.00027834953,0.00004372841,0.000029683255,0.00014348526,0.00045159482,0.0021414778],"genre_scores_gemma":[0.51946414,0.00043404006,0.46743777,0.00022345994,0.00012073225,0.00016323954,0.00085673534,0.0005527659,0.0107471235],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999608,0.00008212361,0.000022352006,0.000066464265,0.00017954184,0.000041436124],"domain_scores_gemma":[0.9994573,0.00019010167,0.00006885729,0.0001270824,0.000117588635,0.000039071725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000836529,0.0008594393,0.00061306125,0.0004733101,0.00023316052,0.0010930742,0.00081583613,0.0010922478,0.0028005275],"category_scores_gemma":[0.0025340782,0.0004980343,0.00073853554,0.0006729243,0.0007579507,0.0020131692,0.0016522148,0.0012721877,0.0007511936],"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":[0.00018243563,0.000055942794,0.0012771778,0.00017752321,0.000076087636,0.00027609686,0.000112511916,0.7929963,0.0596367,0.037468795,0.0027347242,0.10500584],"study_design_scores_gemma":[0.0000071362942,0.000020777637,0.00024787747,0.000007588327,0.00000786087,0.000076046825,0.00001092643,0.9832093,0.009050891,0.0057616783,0.0015838603,0.000016120352],"about_ca_topic_score_codex":0.0028033894,"about_ca_topic_score_gemma":0.002200088,"teacher_disagreement_score":0.0028033894,"about_ca_system_score_codex":0.0003872025,"about_ca_system_score_gemma":0.0013966045,"threshold_uncertainty_score":0.009368658},"labels":[],"label_agreement":null},{"id":"W2471094859","doi":"10.1002/apj.2019","title":"Study of gas–liquid mixing in stirred vessel using electrical resistance tomography","year":2016,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Chemical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Baffle; Mixing (physics); Mechanics; Volumetric flow rate; Mass transfer; Flow (mathematics); Materials science; Tomography; Mass transfer coefficient; Chemistry; Mechanical engineering; Optics; Engineering; Physics","score_opus":0.0070581927754634595,"score_gpt":0.20154374240555964,"score_spread":0.19448554963009618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2471094859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9698369,0.00041788624,0.02886465,0.000061053426,0.000010803767,0.000019392533,0.00004492516,0.00007904457,0.0006654212],"genre_scores_gemma":[0.9857777,0.00020790425,0.013571353,0.000007716892,0.0000057564057,0.0000118162,0.000033772925,0.00001101207,0.00037299286],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997148,0.00009430815,0.000016435346,0.00004522486,0.00010599548,0.000023279454],"domain_scores_gemma":[0.9996809,0.00017453339,0.0000694834,0.000021787097,0.0000391022,0.000014278111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005228923,0.00022623735,0.00027161805,0.00022831284,0.0001548633,0.0004222001,0.0002807798,0.0003399986,0.0004910172],"category_scores_gemma":[0.0006530446,0.0001357066,0.00024573493,0.000291504,0.00030493524,0.0005266756,0.00019054572,0.00035555672,0.00008365663],"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":[0.00007252186,0.000014148826,0.0005170325,0.0000325579,0.0000044600897,0.000054893564,0.00003241495,0.0009101929,0.9959527,0.00015630177,0.000012669507,0.0022399607],"study_design_scores_gemma":[0.0000091572965,0.00024700674,0.0021996112,0.000003652818,0.000012724831,0.00006746635,0.000033271135,0.02650474,0.9703748,0.000057431032,0.00047928962,0.000010805616],"about_ca_topic_score_codex":0.00038501888,"about_ca_topic_score_gemma":0.00025658752,"teacher_disagreement_score":0.0005228923,"about_ca_system_score_codex":0.00020179765,"about_ca_system_score_gemma":0.00012577546,"threshold_uncertainty_score":0.0027653575},"labels":[],"label_agreement":null},{"id":"W2474164024","doi":"10.1007/978-3-540-36841-0_978","title":"Electrode Placement Strategies for 3D EIT","year":2007,"lang":"ur","type":"book-chapter","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":3,"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","funders":"","keywords":"Electrode; Computer science; Set (abstract data type); Protocol (science); Noise (video); Ideal (ethics); Planar; Artificial intelligence; Medicine; Physics","score_opus":0.025400056756471594,"score_gpt":0.24856725460960546,"score_spread":0.22316719785313388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2474164024","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00067058083,0.004328663,0.974484,0.0001326117,0.00022977321,0.000028146642,0.00008230523,0.00085420214,0.019189635],"genre_scores_gemma":[0.037432343,0.010513814,0.8920097,0.00042261227,0.0002464254,0.000118826836,0.00032733445,0.00071619864,0.058212724],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999782,0.000036763297,0.000018279758,0.00004335511,0.00010709586,0.000012447618],"domain_scores_gemma":[0.9997701,0.00011007595,0.00001321174,0.000049380462,0.000049435876,0.0000078017165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033027233,0.0010785778,0.0005403169,0.00063800975,0.0002479453,0.0012887617,0.0012496706,0.0012438098,0.016161848],"category_scores_gemma":[0.00079782587,0.0006180875,0.0005708125,0.0007664739,0.0003952103,0.0014831956,0.0008359187,0.0009060571,0.008799352],"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":[0.00005204554,0.000021288311,0.00018924117,0.0005035749,0.000030511028,0.0005030507,0.00016388645,0.01960429,0.039322145,0.03411094,0.019111542,0.88638747],"study_design_scores_gemma":[0.000034689452,0.00025949863,0.0012792744,0.0005258259,0.00012350689,0.017146982,0.0002558905,0.1987542,0.10888854,0.10940779,0.5631665,0.00015736673],"about_ca_topic_score_codex":0.00026593244,"about_ca_topic_score_gemma":0.0007886115,"teacher_disagreement_score":0.016161848,"about_ca_system_score_codex":0.00020880226,"about_ca_system_score_gemma":0.00023950046,"threshold_uncertainty_score":0.054066777},"labels":[],"label_agreement":null},{"id":"W2487804631","doi":"10.1007/978-3-642-29305-4_290","title":"Ultrasound-mediated study of the electrokinetic effects in gelatin phantoms","year":2013,"lang":"en","type":"book-chapter","venue":"World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ultrasound; Electrokinetic phenomena; Ultrasound imaging; Biomedical engineering; Materials science; Optoacoustic imaging; Optics; Medicine; Radiology; Nanotechnology; Physics","score_opus":0.004284357569230364,"score_gpt":0.19281517701733497,"score_spread":0.1885308194481046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2487804631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96544534,0.0059652785,0.01663428,0.00018860488,0.000087411216,0.00010930395,0.00022343133,0.000097646225,0.011248695],"genre_scores_gemma":[0.9838853,0.001469336,0.0060993107,0.00007968124,0.000019194316,0.00005732179,0.00016047589,0.000048340917,0.008180949],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998337,0.000049367263,0.00000730631,0.000035600217,0.00003843909,0.000035565605],"domain_scores_gemma":[0.99968517,0.00020297662,0.000039864506,0.000024925785,0.00002536655,0.000021681668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039156704,0.00032167905,0.00019709367,0.00019046254,0.00015251682,0.00031863595,0.0004784922,0.000381158,0.0018785576],"category_scores_gemma":[0.00042933083,0.00019900792,0.00018776591,0.00021861715,0.00049026863,0.00050622196,0.00039961346,0.0003868815,0.00024907905],"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":[0.000068651316,0.000015736388,0.000022674905,0.000043807344,0.0000037613777,0.000046218884,0.0000502602,0.00013185044,0.9986033,0.0002475317,0.000046793317,0.00071936316],"study_design_scores_gemma":[0.00002108756,0.00025156792,0.0013008991,0.000011742548,0.000010689101,0.00017180393,0.000045300083,0.0016857778,0.9947187,0.00009310659,0.0016789454,0.000010465894],"about_ca_topic_score_codex":0.0005578072,"about_ca_topic_score_gemma":0.00044536716,"teacher_disagreement_score":0.0018785576,"about_ca_system_score_codex":0.00023952877,"about_ca_system_score_gemma":0.00013993411,"threshold_uncertainty_score":0.0062844157},"labels":[],"label_agreement":null},{"id":"W2509431176","doi":"10.1136/thoraxjnl-2016-208357","title":"Chest electrical impedance tomography examination, data analysis, terminology, clinical use and recommendations: consensus statement of the TRanslational EIT developmeNt stuDy group","year":2016,"lang":"en","type":"review","venue":"Thorax","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":922,"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":"Engineering and Physical Sciences Research Council","keywords":"Medicine; Terminology; Electrical impedance tomography; Medical diagnosis; Medical physics; Working group; Radiology; Computer science; Tomography","score_opus":0.13633695368143653,"score_gpt":0.3840656284775544,"score_spread":0.24772867479611785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2509431176","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034488607,0.08364026,0.088100575,0.7348538,0.049272113,0.018454798,0.005684746,0.00079932436,0.015745517],"genre_scores_gemma":[0.028520703,0.12360569,0.5483319,0.18697125,0.022328947,0.052844107,0.024112673,0.0011393476,0.0121453125],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.7362006,0.13892615,0.082040146,0.005857021,0.032749016,0.0042271195],"domain_scores_gemma":[0.50724,0.19494672,0.037553053,0.02027485,0.22239567,0.017589705],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.34142646,0.0020856615,0.0047129104,0.011623069,0.003384494,0.010540459,0.012231615,0.017126542,0.004083163],"category_scores_gemma":[0.3633135,0.002345047,0.0068969727,0.00815427,0.0069313706,0.008563261,0.011592417,0.024163136,0.0072084707],"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":[0.0003249521,0.00028826442,0.0032180832,0.021216119,0.00033115366,0.0005210302,0.0052181114,0.0010649466,0.0016545915,0.013176744,0.6377712,0.31521484],"study_design_scores_gemma":[0.00041615823,0.000309441,0.004420414,0.07926944,0.00052896905,0.0011207969,0.0045020417,0.0015148938,0.0015083541,0.023385506,0.88268954,0.00033444708],"about_ca_topic_score_codex":0.006280214,"about_ca_topic_score_gemma":0.0044800295,"teacher_disagreement_score":0.34142646,"about_ca_system_score_codex":0.008164565,"about_ca_system_score_gemma":0.06175945,"threshold_uncertainty_score":0.81213844},"labels":[],"label_agreement":null},{"id":"W2521228697","doi":"10.2495/cmem-v4-n2-165-175","title":"A comparative study of magnetic resonance imaging, electrical impedance tomography and ultrasonic doppler velocimetry for semi-dilute fibre flow suspension characterisation","year":2016,"lang":"en","type":"article","venue":"International Journal of Computational Methods and Experimental Measurements","topic":"Electrical and Bioimpedance Tomography","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":"Western Forest Products","funders":"European Regional Development Fund; Fundação para a Ciência e a Tecnologia; Ministério da Ciência, Tecnologia e Ensino Superior","keywords":"Velocimetry; Magnetic resonance imaging; Acoustics; Electrical impedance tomography; Ultrasonic sensor; Materials science; Doppler effect; Suspension (topology); Tomography; Nuclear magnetic resonance; Laser Doppler velocimetry; Electrical impedance; Biomedical engineering; Optics; Physics; Blood flow; Radiology; Engineering; Medicine","score_opus":0.029202305396346554,"score_gpt":0.34209379825374436,"score_spread":0.3128914928573978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2521228697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79128313,0.005806487,0.20001414,0.00013711356,0.00004563842,0.00019535623,0.00008178535,0.00023972875,0.0021966496],"genre_scores_gemma":[0.862666,0.0029349204,0.1327533,0.00004586777,0.000024158566,0.00012500443,0.00011159999,0.000044932847,0.0012942142],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990416,0.00033469204,0.00004952892,0.00014566636,0.00038987002,0.000038559734],"domain_scores_gemma":[0.9978637,0.0012670101,0.00022737004,0.00018931752,0.00039079803,0.00006183597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026028077,0.00045583182,0.0005765818,0.001182084,0.00024809074,0.00056676683,0.00047764208,0.0008585717,0.00055669766],"category_scores_gemma":[0.0031442062,0.00025814644,0.00028607788,0.00069912424,0.0006947794,0.0007545005,0.0003402105,0.0003560489,0.00016674657],"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":[0.0003777231,0.00012362176,0.0013358035,0.00020821551,0.000017361364,0.00007991278,0.00009749451,0.002143871,0.96422386,0.0003502232,0.0000258267,0.031016048],"study_design_scores_gemma":[0.00004225803,0.0036228984,0.021189716,0.000048741036,0.00011077429,0.00080197037,0.0001352627,0.04129524,0.9302653,0.00034954594,0.002066283,0.00007204571],"about_ca_topic_score_codex":0.00059324375,"about_ca_topic_score_gemma":0.0011234183,"teacher_disagreement_score":0.0026028077,"about_ca_system_score_codex":0.0003465206,"about_ca_system_score_gemma":0.0003221437,"threshold_uncertainty_score":0.013765097},"labels":[],"label_agreement":null},{"id":"W2532315310","doi":"10.1109/iembs.1996.651966","title":"A convergence estimator for the iterative reconstruction of electrical impedance tomography images","year":2002,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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; Christie (Canada)","funders":"","keywords":"Electrical impedance tomography; Iterative reconstruction; Convergence (economics); Inverse problem; Tomography; Estimator; Iterative method; Iterative and incremental development; Computer science; Image (mathematics); Mathematical optimization; Algorithm; Electrical impedance; Function (biology); Computer vision; Mathematics; Physics; Optics; Mathematical analysis; Statistics","score_opus":0.009488496182042245,"score_gpt":0.20539298164991152,"score_spread":0.19590448546786926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2532315310","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025690235,0.000041100946,0.9971596,0.000023485332,0.0000066941866,0.000011094425,0.0000066519747,0.00009268744,0.00008975757],"genre_scores_gemma":[0.10854958,0.00019277977,0.8898984,0.000062230814,0.0000347983,0.0001407777,0.00012973812,0.00022691606,0.0007647513],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998539,0.0005547009,0.000103706014,0.00022744904,0.0004992603,0.00007598859],"domain_scores_gemma":[0.9885233,0.006645101,0.0011199181,0.0008056499,0.0027151974,0.0001907559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006160023,0.00070705154,0.0008318797,0.0011051713,0.00045382528,0.0011224953,0.0010629598,0.0017029139,0.0007930861],"category_scores_gemma":[0.03248911,0.0005532781,0.0006537641,0.0005832754,0.0013316718,0.0015442799,0.0012358034,0.0017486553,0.000595577],"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":[0.0004109805,0.00014473227,0.0056800456,0.00034753288,0.00016122017,0.0001678978,0.0003270957,0.6407395,0.06534236,0.07215176,0.0017490217,0.21277799],"study_design_scores_gemma":[0.000012769848,0.00008149684,0.00084883964,0.000029138653,0.000014224318,0.00012336606,0.000015246006,0.9805155,0.013239659,0.004134449,0.00094824453,0.00003717913],"about_ca_topic_score_codex":0.0011173019,"about_ca_topic_score_gemma":0.0009131173,"teacher_disagreement_score":0.006160023,"about_ca_system_score_codex":0.0006527646,"about_ca_system_score_gemma":0.0010561388,"threshold_uncertainty_score":0.032577693},"labels":[],"label_agreement":null},{"id":"W2542653948","doi":"10.1109/iembs.2004.1404484","title":"MR current density and conductivity imaging: the state of the Aart","year":2005,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":39,"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 Toronto","funders":"","keywords":"Current (fluid); Magnetic resonance imaging; Current density; Data acquisition; Software; Computer science; Phase (matter); Pulse (music); Nuclear magnetic resonance; Physics; Electrical engineering; Radiology; Engineering; Medicine; Telecommunications","score_opus":0.0075320070199179235,"score_gpt":0.20520565886682235,"score_spread":0.1976736518469044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2542653948","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062234956,0.48895204,0.4475094,0.004412345,0.0016532964,0.00017420547,0.0002126961,0.0015273514,0.049335103],"genre_scores_gemma":[0.12833758,0.35531712,0.4539122,0.0026469494,0.004493347,0.0003370055,0.0004920973,0.0007101934,0.053753525],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984884,0.00029984757,0.00010475959,0.000354114,0.0006782051,0.000074626856],"domain_scores_gemma":[0.99715626,0.0011299232,0.00029582114,0.00036262017,0.00091761415,0.00013775313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029191358,0.00072754035,0.0011449427,0.002510883,0.00047092963,0.0037856894,0.0018738447,0.0024317387,0.00548255],"category_scores_gemma":[0.0041989507,0.0007767899,0.00065002026,0.0029151845,0.0029938794,0.0051685916,0.0015102094,0.0023605532,0.0035213497],"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":[0.00020157805,0.00008177395,0.0007667062,0.0016899151,0.00006398117,0.00017263142,0.00022382964,0.0018931171,0.025654044,0.054033853,0.0086230105,0.90659547],"study_design_scores_gemma":[0.00004266516,0.00042283168,0.0022485415,0.0009459732,0.00015211113,0.0042409636,0.00016087787,0.027071422,0.069965236,0.027171481,0.8673202,0.00025763435],"about_ca_topic_score_codex":0.0016169624,"about_ca_topic_score_gemma":0.0010049433,"teacher_disagreement_score":0.00548255,"about_ca_system_score_codex":0.0015276319,"about_ca_system_score_gemma":0.0016146685,"threshold_uncertainty_score":0.018340945},"labels":[],"label_agreement":null},{"id":"W2543826183","doi":"10.1109/nssmic.1993.701850","title":"Electrical Impedance Computed Tomography -algorithms And Applications","year":2005,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Resistive touchscreen; Algorithm; Electrical impedance tomography; Finite element method; Electrical impedance; Computer science; Point (geometry); Port (circuit theory); Graph; Topology (electrical circuits); Mathematics; Electronic engineering; Theoretical computer science; Computer vision; Engineering; Electrical engineering; Geometry","score_opus":0.004408899183955885,"score_gpt":0.19971938904667003,"score_spread":0.19531048986271415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2543826183","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025654042,0.013013917,0.9718373,0.0011685058,0.00017689263,0.00010802779,0.00011346161,0.0008461616,0.010170338],"genre_scores_gemma":[0.10826341,0.020091392,0.8594321,0.00045026676,0.00040740115,0.00038462225,0.00031363076,0.00032947183,0.010327691],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99904054,0.00032550681,0.000079300116,0.00014497795,0.00037580295,0.000033883443],"domain_scores_gemma":[0.99805695,0.0009783434,0.00010769267,0.0002604231,0.00053632725,0.000060184982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012443471,0.00081424095,0.0007129184,0.0016847438,0.0003666259,0.0018959272,0.0012127461,0.0016229756,0.0064925803],"category_scores_gemma":[0.008626658,0.00047176826,0.000526585,0.0023437222,0.0009780863,0.0014423996,0.0013054525,0.001340536,0.0029553897],"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":[0.000118815005,0.00007127973,0.0024428063,0.0007461714,0.000079526544,0.00032195324,0.00026004776,0.090210624,0.008023973,0.14418727,0.011253966,0.7422835],"study_design_scores_gemma":[0.000053724776,0.00006426072,0.0016990933,0.00041296787,0.000044477307,0.0016175131,0.00017180275,0.6320862,0.009285506,0.21584772,0.13864012,0.000076740034],"about_ca_topic_score_codex":0.0010751156,"about_ca_topic_score_gemma":0.0007082749,"teacher_disagreement_score":0.0064925803,"about_ca_system_score_codex":0.00081492634,"about_ca_system_score_gemma":0.0006518097,"threshold_uncertainty_score":0.021719873},"labels":[],"label_agreement":null},{"id":"W2544688990","doi":"10.1109/iembs.2004.1403415","title":"A new approach to current density impedance imaging","year":2005,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Conductivity; Imaging phantom; Logarithm; Current density; Current (fluid); Electrical impedance; Sigma; Materials science; Iterative reconstruction; Physics; Nuclear magnetic resonance; Optics; Mathematics; Computer science; Mathematical analysis; Artificial intelligence","score_opus":0.008408189445153313,"score_gpt":0.21839152162891376,"score_spread":0.20998333218376045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2544688990","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001424242,0.0004040048,0.995119,0.00016664006,0.000067904904,0.000023217073,0.000022371763,0.00031117295,0.0024614246],"genre_scores_gemma":[0.06610098,0.0016584451,0.9213572,0.0004249283,0.00019535323,0.00013782541,0.00011690288,0.0001662021,0.009842238],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99927586,0.00010332541,0.000032492015,0.00020189388,0.00034967106,0.000036823894],"domain_scores_gemma":[0.9994666,0.00012772354,0.0000458495,0.000140432,0.00017743061,0.000042012405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055449124,0.00058823527,0.0007538616,0.0010990807,0.00029467803,0.0015665002,0.0014267993,0.0010440612,0.0026703912],"category_scores_gemma":[0.0014740665,0.00041390376,0.00063655054,0.000994226,0.00095712295,0.0022816781,0.0012868041,0.001752853,0.0013232246],"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":[0.00012704825,0.0001553294,0.00095280603,0.0003255923,0.00009881513,0.0003540019,0.00030707975,0.015165051,0.3906879,0.23881094,0.00398124,0.34903422],"study_design_scores_gemma":[0.00007241741,0.0003984981,0.0013976493,0.00010960626,0.00012863983,0.0042893584,0.0001352578,0.5040911,0.27072644,0.077276744,0.14118278,0.0001915425],"about_ca_topic_score_codex":0.0003080272,"about_ca_topic_score_gemma":0.0003671959,"teacher_disagreement_score":0.0026703912,"about_ca_system_score_codex":0.00054372614,"about_ca_system_score_gemma":0.00041291933,"threshold_uncertainty_score":0.008933306},"labels":[],"label_agreement":null},{"id":"W2545717196","doi":"10.1109/iembs.2004.1404108","title":"Defibrillation current density imaging: comparison of in-vivo and post-mortem measurements in a pig","year":2005,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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 Toronto","funders":"","keywords":"Current (fluid); Defibrillation; Current density; Biomedical engineering; Electrical current; In vivo; Medicine; Nuclear magnetic resonance; Materials science; Cardiology; Electrical engineering; Physics; Biology","score_opus":0.023541798672526162,"score_gpt":0.263674686404633,"score_spread":0.24013288773210684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2545717196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867617,0.0006326995,0.010948318,0.00008369298,0.000022476906,0.000031451927,0.00011861447,0.00009114901,0.0013099653],"genre_scores_gemma":[0.9919144,0.0007989146,0.005287364,0.00008989976,0.000019881732,0.000041417843,0.00025650192,0.00002868364,0.0015630141],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999119,0.00001840434,0.000005375803,0.000022954515,0.000022619812,0.000018733715],"domain_scores_gemma":[0.9996012,0.00012549672,0.00009531276,0.000034751472,0.00009567586,0.00004758678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003376582,0.00020020905,0.0002148986,0.0004890817,0.0001550202,0.00034390207,0.0002666408,0.0006491483,0.0007099968],"category_scores_gemma":[0.0007240967,0.0002041969,0.000115963565,0.00018703366,0.00047271,0.0004091612,0.00015015464,0.00038906457,0.00020793345],"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":[0.00044290852,0.000060268107,0.0036920062,0.000068624824,0.000009573194,0.0002454172,0.0001848421,0.00015154795,0.9893132,0.00006240626,0.00006530689,0.0057038963],"study_design_scores_gemma":[0.000056673685,0.0032646004,0.17777474,0.000045511668,0.00010513299,0.0026146148,0.00038207526,0.0037741193,0.8094801,0.00018053647,0.0022801291,0.000041890304],"about_ca_topic_score_codex":0.0006717158,"about_ca_topic_score_gemma":0.000792205,"teacher_disagreement_score":0.0007099968,"about_ca_system_score_codex":0.00022657128,"about_ca_system_score_gemma":0.00010490939,"threshold_uncertainty_score":0.002375245},"labels":[],"label_agreement":null},{"id":"W2549772348","doi":"10.3390/met6110272","title":"Crack Detection Method Applied to 3D Computed Tomography Images of Baked Carbon Anodes","year":2016,"lang":"en","type":"article","venue":"Metals","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Université Laval","keywords":"Anode; Materials science; Computed tomography; Resolution (logic); Tomography; Carbon fibers; Nondestructive testing; Percolation (cognitive psychology); Composite material; Computer science; Artificial intelligence; Optics; Radiology; Electrode; Physics","score_opus":0.007204551584076809,"score_gpt":0.21844730703528506,"score_spread":0.21124275545120824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2549772348","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2769028,0.00032128804,0.71841246,0.0001730389,0.000041825006,0.0002661351,0.0005038073,0.0016173677,0.0017612244],"genre_scores_gemma":[0.423309,0.00030448567,0.5748463,0.000049583392,0.000011531007,0.00012720832,0.00029461063,0.00014226984,0.0009149287],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998305,0.000014482018,0.000012776559,0.000046351564,0.00007609638,0.000019877561],"domain_scores_gemma":[0.99956733,0.0001362556,0.00005221794,0.000053447588,0.00016482589,0.000026031736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028633518,0.00043004457,0.00023649247,0.0012822328,0.00018987883,0.00063985214,0.00038264284,0.0006603559,0.0013077509],"category_scores_gemma":[0.0011038034,0.00040075413,0.00022368535,0.0005080485,0.00031511078,0.0002848385,0.00034326562,0.00042160664,0.0002998098],"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":[0.0000888909,0.000024879611,0.0027635093,0.00015939382,0.000017577999,0.00058879197,0.00017333565,0.010179314,0.9319439,0.0009945562,0.00036940043,0.052696507],"study_design_scores_gemma":[0.000025031342,0.00009830982,0.021047309,0.000043930788,0.000038656068,0.0020273146,0.0001723781,0.31311107,0.6579164,0.00081723416,0.00461771,0.00008463392],"about_ca_topic_score_codex":0.0017375662,"about_ca_topic_score_gemma":0.0026056068,"teacher_disagreement_score":0.0017375662,"about_ca_system_score_codex":0.00030183487,"about_ca_system_score_gemma":0.0005974396,"threshold_uncertainty_score":0.0043748617},"labels":[],"label_agreement":null},{"id":"W2560010634","doi":"10.1002/mp.12038","title":"Lobe based image reconstruction in Electrical Impedance Tomography","year":2016,"lang":"en","type":"article","venue":"Medical Physics","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":14,"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":"Seventh Framework Programme; Ludwig-Maximilians-Universität München; Bundesministerium für Bildung und Forschung; European Commission","keywords":"Electrical impedance tomography; Thorax (insect anatomy); Tomography; Lung; Iterative reconstruction; Biomedical engineering; Medicine; Materials science; Radiology; Anatomy","score_opus":0.004417595921790491,"score_gpt":0.1996867152128746,"score_spread":0.1952691192910841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560010634","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008999716,0.00008402869,0.9898953,0.0000538211,0.0000060367056,0.00003231914,0.00003374008,0.00039417177,0.0005009287],"genre_scores_gemma":[0.1694411,0.00024167655,0.82836777,0.00007990994,0.000010213821,0.000116492265,0.0002116348,0.00018418336,0.0013470518],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999843,0.00005834752,0.000008832948,0.000021271404,0.000055877455,0.00001262028],"domain_scores_gemma":[0.99946827,0.0003680674,0.000043762408,0.000040485193,0.00005773317,0.000021687529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055766664,0.00035648263,0.00031021336,0.00041811794,0.00013290791,0.00070180546,0.0005244881,0.0007515584,0.0016987791],"category_scores_gemma":[0.0023012224,0.000312117,0.0004599195,0.00036107507,0.00036595124,0.00035669847,0.0006918803,0.0006208491,0.0006572739],"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":[0.0003178744,0.00006353869,0.002664496,0.00025835267,0.000059010556,0.0005772687,0.0002469413,0.7232512,0.056342613,0.011785713,0.0016006266,0.20283243],"study_design_scores_gemma":[0.000007611746,0.00002116805,0.0002409684,0.00001054694,0.0000045462475,0.0001700629,0.000011977448,0.9897383,0.0070869788,0.0014991227,0.0012018434,0.000006815035],"about_ca_topic_score_codex":0.0013592215,"about_ca_topic_score_gemma":0.0012830886,"teacher_disagreement_score":0.0016987791,"about_ca_system_score_codex":0.00036663568,"about_ca_system_score_gemma":0.00047039238,"threshold_uncertainty_score":0.005683005},"labels":[],"label_agreement":null},{"id":"W2582338557","doi":"10.1088/1361-6579/aa5b78","title":"Methods for calculating the electrode position Jacobian for impedance imaging","year":2017,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":16,"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":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance tomography; Jacobian matrix and determinant; Position (finance); Electrode; Electrical impedance; Electrical resistivity tomography; Tomography; Acoustics; Computer science; Mathematics; Electrical resistivity and conductivity; Physics; Electrical engineering; Applied mathematics; Optics; Engineering","score_opus":0.07813563820833502,"score_gpt":0.35437867009115165,"score_spread":0.2762430318828166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582338557","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027859516,0.00030155596,0.9959514,0.000050168816,0.000021782253,0.000042674958,0.000027112948,0.00024783774,0.0005716142],"genre_scores_gemma":[0.053399984,0.00048978056,0.94350857,0.000028228073,0.000026919184,0.00014450285,0.000100290075,0.0001956817,0.0021059888],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993618,0.00018312731,0.00004254336,0.000062226354,0.00032591005,0.0000243154],"domain_scores_gemma":[0.99777895,0.0012347602,0.00022252214,0.00019288308,0.0005286874,0.000042152464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013162312,0.0008807229,0.0005331717,0.00095080014,0.00036475278,0.0008356192,0.0009905589,0.0010185009,0.004149147],"category_scores_gemma":[0.0060838424,0.00037281448,0.0006256334,0.0007311253,0.0004640071,0.00090502045,0.00070086744,0.0010770952,0.0014619499],"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":[0.0001248764,0.0001268878,0.002278183,0.00077361474,0.0000924099,0.00014963919,0.00023886883,0.4414628,0.019523652,0.027270243,0.0034817744,0.5044771],"study_design_scores_gemma":[0.000020051673,0.000057164783,0.0007336808,0.00004625608,0.000017236713,0.00018972371,0.000026246882,0.98219967,0.0062160655,0.005857402,0.0046073436,0.000029080953],"about_ca_topic_score_codex":0.0062251994,"about_ca_topic_score_gemma":0.0078084823,"teacher_disagreement_score":0.0062251994,"about_ca_system_score_codex":0.0006247578,"about_ca_system_score_gemma":0.0013653506,"threshold_uncertainty_score":0.013880253},"labels":[],"label_agreement":null},{"id":"W2584946974","doi":"10.3390/s17020280","title":"A Versatile and Reproducible Multi-Frequency Electrical Impedance Tomography System","year":2017,"lang":"en","type":"article","venue":"Sensors","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Medical Research Council; Medical Research Council Canada","keywords":"Electrical impedance tomography; Resistor; Electrical impedance; Computer science; Current source; Software; Electrode; Voltage source; Voltage; Bandwidth (computing); Electronic engineering; Computer hardware; Materials science; Biomedical engineering; Electrical engineering; Physics; Engineering; Telecommunications","score_opus":0.011147424619049856,"score_gpt":0.2200477197013598,"score_spread":0.20890029508230995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2584946974","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042331375,0.00072500913,0.9460048,0.00029757494,0.0001997858,0.00091524486,0.0010721338,0.006006188,0.002447814],"genre_scores_gemma":[0.19088463,0.0010720099,0.7901553,0.0004221399,0.00014350921,0.0027965147,0.0017540634,0.00069847447,0.012073302],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982008,0.00020955222,0.00015861639,0.00050024776,0.00083647127,0.000094360206],"domain_scores_gemma":[0.9988575,0.00023217619,0.0001594432,0.00034881986,0.00028696848,0.00011508251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016214981,0.0007531924,0.000852204,0.0010475457,0.00041515075,0.0006885395,0.0013061216,0.0009102833,0.006304726],"category_scores_gemma":[0.0017831662,0.0005847917,0.0004043938,0.00074125367,0.0006092588,0.0009642071,0.0017237089,0.0010202467,0.0029653187],"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":[0.00015901114,0.000049557762,0.00075719535,0.00019148842,0.000018477649,0.00017241067,0.00008439937,0.00047514102,0.94725156,0.0009800064,0.0022279746,0.047632802],"study_design_scores_gemma":[0.00014956319,0.001073675,0.01344306,0.00009599972,0.00011056646,0.006088552,0.00010100696,0.016103715,0.85597545,0.00089467195,0.10579682,0.00016679315],"about_ca_topic_score_codex":0.00032713488,"about_ca_topic_score_gemma":0.0007446365,"teacher_disagreement_score":0.006304726,"about_ca_system_score_codex":0.00039531357,"about_ca_system_score_gemma":0.0008702957,"threshold_uncertainty_score":0.021091342},"labels":[],"label_agreement":null},{"id":"W2594178890","doi":"10.1088/1361-6579/aa660e","title":"Comparative study of separation between<i>ex vivo</i>prostatic malignant and benign tissue using electrical impedance spectroscopy and electrical impedance tomography","year":2017,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health; National Cancer Institute; Vector Institute; Centers for Disease Control and Prevention; Dartmouth College","keywords":"Electrical impedance tomography; Margin (machine learning); Electrical impedance; Biomedical engineering; Ex vivo; Feature (linguistics); Computer science; Artificial intelligence; Tomography; Medicine; Radiology; In vivo; Engineering; Machine learning; Electrical engineering","score_opus":0.07425432951330346,"score_gpt":0.32457944621372814,"score_spread":0.2503251167004247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594178890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94522786,0.0017056761,0.051734254,0.00007540369,0.00003134056,0.000031608906,0.00016379253,0.00022119448,0.0008089253],"genre_scores_gemma":[0.9821702,0.00044765466,0.016672147,0.00004891842,0.000025528778,0.000020843394,0.00025100185,0.000034292985,0.00032939526],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995927,0.00008934068,0.000032569555,0.000110706234,0.00014715733,0.000027561584],"domain_scores_gemma":[0.99841774,0.0008765156,0.00029664315,0.00006618864,0.0002754693,0.00006754684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009499015,0.00041172854,0.0003025612,0.0009136478,0.00010047486,0.00069253775,0.00020303922,0.0005700613,0.0006535405],"category_scores_gemma":[0.0032586185,0.0001475855,0.0003252485,0.00040628968,0.00033907496,0.00068448577,0.00036995305,0.00024868065,0.00024620703],"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":[0.0044067665,0.0003087536,0.08927458,0.0008453256,0.0002569966,0.00034648235,0.00027859295,0.011069817,0.76683587,0.00019031893,0.00034858263,0.12583788],"study_design_scores_gemma":[0.000061998995,0.0026757885,0.36869213,0.0000761512,0.00038601106,0.0024566408,0.00049719133,0.1661024,0.4567067,0.00050334143,0.0017197491,0.00012185929],"about_ca_topic_score_codex":0.00032898894,"about_ca_topic_score_gemma":0.0005143221,"teacher_disagreement_score":0.0009499015,"about_ca_system_score_codex":0.0001370655,"about_ca_system_score_gemma":0.00014237265,"threshold_uncertainty_score":0.0050236583},"labels":[],"label_agreement":null},{"id":"W2604546713","doi":"10.1016/j.measurement.2017.04.004","title":"Dielectric properties of the normal and malignant breast tissues in xenograft mice at low frequencies (100 Hz–1 MHz)","year":2017,"lang":"en","type":"article","venue":"Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; University of Toronto; Sunnybrook Health Science Centre; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dielectric; Materials science; Conductivity; Permittivity; Human breast; Biomedical engineering; Low frequency; Breast cancer; Nuclear magnetic resonance; Pathology; Cancer; Medicine; Optoelectronics; Chemistry; Physics; Internal medicine","score_opus":0.023887391043935207,"score_gpt":0.19173433997725817,"score_spread":0.16784694893332297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604546713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957683,0.00046348057,0.0026345665,0.0000425796,0.000015291758,0.000005985016,0.00033344055,0.00003387497,0.00070246024],"genre_scores_gemma":[0.9946397,0.0004969495,0.0019005217,0.00004929606,0.0000066520874,0.000018654855,0.0004203876,0.000019681667,0.002448203],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999294,0.000009987793,0.0000042048155,0.000016351738,0.000023466828,0.000016600894],"domain_scores_gemma":[0.9997714,0.000073471034,0.000064629785,0.000023104007,0.00002925917,0.000038188966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017825092,0.0002918666,0.00015496301,0.00032447575,0.00011611394,0.00015519829,0.00012520289,0.00021312396,0.0009510656],"category_scores_gemma":[0.00020804073,0.000150376,0.00014262742,0.0002816697,0.0002672287,0.0002940861,0.00010544394,0.00048931787,0.00015146653],"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":[0.000409051,0.000024268104,0.0005995051,0.00001326708,0.0000042431607,0.000025890951,0.000027949069,0.000080266764,0.9978517,0.00005267252,0.000030101011,0.0008810306],"study_design_scores_gemma":[0.000015869551,0.0005316886,0.026429957,0.0000042540278,0.00003882825,0.0003597359,0.00010411829,0.00088151236,0.9706477,0.00009374324,0.00088270305,0.000009990928],"about_ca_topic_score_codex":0.00040545856,"about_ca_topic_score_gemma":0.00049824227,"teacher_disagreement_score":0.0009510656,"about_ca_system_score_codex":0.00014938475,"about_ca_system_score_gemma":0.000085038286,"threshold_uncertainty_score":0.0031815767},"labels":[],"label_agreement":null},{"id":"W2604830664","doi":"10.1002/cjce.22854","title":"Solid distribution and mixing time in stirred tanks: The case of floating particles","year":2017,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Homogenization (climate); Materials science; Mixing (physics); Conductivity; Mechanics; Planar laser-induced fluorescence; Planar; Analytical Chemistry (journal); Laser; Laser-induced fluorescence; Chromatography; Chemistry; Optics; Computer science; Physics","score_opus":0.005925113710451945,"score_gpt":0.1988463950400295,"score_spread":0.19292128132957753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604830664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97887176,0.00025468302,0.019854834,0.00007813375,0.000012771731,0.0000125999895,0.00008976413,0.000088185734,0.00073720637],"genre_scores_gemma":[0.99665123,0.00009165535,0.0026893108,0.0000073598235,0.0000044551552,0.000006026462,0.000057609166,0.000011260192,0.00048112718],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977535,0.000021164844,0.000010715587,0.000070295486,0.0000774124,0.000045029155],"domain_scores_gemma":[0.9995369,0.00023146583,0.000111481175,0.000029480778,0.000055510915,0.000035092595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003970496,0.0003047963,0.00040291884,0.00036552484,0.00028415737,0.0007756548,0.00044259362,0.00056597625,0.0006322601],"category_scores_gemma":[0.0011638413,0.00013683552,0.0003051653,0.00030534776,0.0005627909,0.0007044801,0.00044166067,0.00042567798,0.00011066373],"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":[0.0005959625,0.00006479367,0.0033193664,0.00010013862,0.000027992119,0.00073436426,0.00013289928,0.03791517,0.9493612,0.0014571189,0.00008797202,0.0062030456],"study_design_scores_gemma":[0.00006520044,0.00067304843,0.0067483517,0.000009851683,0.000058548947,0.00030197197,0.00017034858,0.4120518,0.5785669,0.0007056403,0.00059449265,0.000053835807],"about_ca_topic_score_codex":0.0034158847,"about_ca_topic_score_gemma":0.0010697682,"teacher_disagreement_score":0.0034158847,"about_ca_system_score_codex":0.0006063175,"about_ca_system_score_gemma":0.00037053562,"threshold_uncertainty_score":0.006792009},"labels":[],"label_agreement":null},{"id":"W2608438070","doi":"10.1088/1361-6560/aa6ee7","title":"An integrated and highly sensitive ultrafast acoustoelectric imaging system for biomedical applications","year":2017,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":30,"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":"Agence Nationale de la Recherche; Ottawa Hospital Research Institute","keywords":"Ultrashort pulse; Direct imaging; Materials science; Imaging technique; Biomedical engineering; Computer science; Optics; Physics; Medicine; Laser","score_opus":0.041117808936352473,"score_gpt":0.3208536279546907,"score_spread":0.2797358190183382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608438070","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16378897,0.004635584,0.8229957,0.00063072325,0.0002921218,0.00038123073,0.0002711257,0.0025943401,0.0044101],"genre_scores_gemma":[0.3610561,0.0018286176,0.6259661,0.0006963517,0.0002489525,0.00068555446,0.00035584634,0.00013767135,0.009024856],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999495,0.00007681245,0.00002682247,0.00013018203,0.00022980545,0.000041321706],"domain_scores_gemma":[0.99961424,0.00010760683,0.00007865847,0.00003989587,0.0001244797,0.000035016412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005749697,0.0004724951,0.00054414425,0.0004004011,0.0002169671,0.0005597363,0.0009021385,0.0008859843,0.0018246798],"category_scores_gemma":[0.00070999714,0.00037906173,0.00022413174,0.00031588922,0.000348096,0.0009090642,0.00073556375,0.00077840895,0.0009777718],"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":[0.00004018658,0.000022468515,0.00016680671,0.00006265957,0.0000054281745,0.00002798669,0.000024835137,0.00010458188,0.97412646,0.0002993084,0.0002347688,0.024884542],"study_design_scores_gemma":[0.000033413027,0.000781089,0.0030547525,0.000024557674,0.000060523136,0.0010025848,0.000035016514,0.015496021,0.9596957,0.00037987548,0.019387083,0.000049425915],"about_ca_topic_score_codex":0.00026018074,"about_ca_topic_score_gemma":0.0004463228,"teacher_disagreement_score":0.0018246798,"about_ca_system_score_codex":0.00042406868,"about_ca_system_score_gemma":0.0003942912,"threshold_uncertainty_score":0.0061041713},"labels":[],"label_agreement":null},{"id":"W2735337215","doi":"10.1109/tbme.2017.2728323","title":"Electrical Impedance Tomography: Tissue Properties to Image Measures","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":286,"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":"Electrical impedance tomography; Iterative reconstruction; Biomedical engineering; Image resolution; Image quality; Tomography; Blood flow; Sensitivity (control systems); Temporal resolution; Positron emission tomography; Electrical impedance; Materials science; Electrical resistivity tomography; Functional electrical stimulation; Computer science; Computer vision; Electronic engineering; Medicine; Physics; Radiology; Engineering; Image (mathematics); Optics; Electrical engineering; Stimulation; Electrical resistivity and conductivity","score_opus":0.01114463131400161,"score_gpt":0.22042103625934287,"score_spread":0.20927640494534125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735337215","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0064782803,0.44649872,0.5090618,0.012333848,0.0032244388,0.0001514599,0.00055870716,0.0015042886,0.020188436],"genre_scores_gemma":[0.123851694,0.5417889,0.2940273,0.008820179,0.008270121,0.0004978492,0.000804271,0.000849646,0.021090016],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977964,0.00074568135,0.00020448626,0.0003842125,0.0007840667,0.000085129155],"domain_scores_gemma":[0.99643445,0.0021692365,0.0002884623,0.0003218223,0.0006999891,0.00008603827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002106054,0.0013797088,0.0020241714,0.0032874157,0.00032192847,0.004590618,0.0014722547,0.0024851214,0.005030604],"category_scores_gemma":[0.008511038,0.0007122637,0.00082542346,0.004028946,0.00342147,0.004139905,0.0021271028,0.003392794,0.002353102],"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":[0.00018878294,0.00013798017,0.0041692303,0.007062601,0.00034883112,0.0012533385,0.000713996,0.009760793,0.038806863,0.16336904,0.03184246,0.7423461],"study_design_scores_gemma":[0.000060055583,0.0003965332,0.008309058,0.004195011,0.00031472038,0.009957969,0.0010444699,0.03449264,0.043430284,0.27873856,0.61872566,0.0003349625],"about_ca_topic_score_codex":0.00062936917,"about_ca_topic_score_gemma":0.00037139555,"teacher_disagreement_score":0.005030604,"about_ca_system_score_codex":0.0012341988,"about_ca_system_score_gemma":0.0008292857,"threshold_uncertainty_score":0.016829014},"labels":[],"label_agreement":null},{"id":"W2740029936","doi":"10.22215/etd/2010-08763","title":"Technical developments to enable electrical impedance tomography (EIT) measurement of blood flow to monitor cardiac output : key engineering contributions","year":2010,"lang":"en","type":"dissertation","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University; University of Ottawa; Library and Archives Canada","funders":"","keywords":"Electrical impedance tomography; Key (lock); Electrical engineering; Engineering; Mechanical engineering; Physics; Computer science; Electrical impedance; Operating system","score_opus":0.004762387915718947,"score_gpt":0.20731706322190255,"score_spread":0.2025546753061836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740029936","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0204693,0.008121657,0.9320074,0.0043076347,0.0018513493,0.00038209558,0.00039969332,0.001049957,0.031411044],"genre_scores_gemma":[0.112549886,0.018885773,0.8204586,0.0010773544,0.0016707663,0.0004550892,0.0007405311,0.0003509534,0.043811098],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99874157,0.00021912786,0.00010673768,0.00024478792,0.0006076243,0.00008001369],"domain_scores_gemma":[0.997934,0.0005138241,0.00015465515,0.0002498474,0.0010252098,0.00012244875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023276184,0.0008851603,0.0003977883,0.00106714,0.00030316671,0.0020133138,0.00094658585,0.0011558618,0.0062972438],"category_scores_gemma":[0.00338571,0.00054666685,0.00045564,0.0008002978,0.00059924566,0.0020563076,0.0009590325,0.0015241056,0.0046844073],"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":[0.00014781875,0.00022845781,0.002121676,0.0006646004,0.00004897316,0.00036946635,0.0002974524,0.0019515778,0.55511236,0.023713844,0.010246004,0.40509787],"study_design_scores_gemma":[0.00004055143,0.00064353866,0.003071223,0.00017392346,0.00008098859,0.0024739767,0.00014467149,0.017450023,0.67480403,0.004921782,0.29608932,0.000106017884],"about_ca_topic_score_codex":0.0003896672,"about_ca_topic_score_gemma":0.0005350709,"teacher_disagreement_score":0.0062972438,"about_ca_system_score_codex":0.0004933242,"about_ca_system_score_gemma":0.00094775984,"threshold_uncertainty_score":0.021066308},"labels":[],"label_agreement":null},{"id":"W2742491330","doi":"10.3390/met7080305","title":"Inspection of Prebaked Carbon Anodes Using Multi-Spectral Acousto-Ultrasonic Excitation","year":2017,"lang":"en","type":"article","venue":"Metals","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alcoa (Canada); Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Université Laval","keywords":"Anode; Ultrasonic sensor; Materials science; Excitation; Characterization (materials science); Raw material; Acoustics; Partial least squares regression; Computer science; Electrode; Physics; Engineering; Electrical engineering; Chemistry","score_opus":0.036046316278423085,"score_gpt":0.2713633537283005,"score_spread":0.23531703744987742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742491330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.915405,0.00067676615,0.08213448,0.00007190017,0.000038287955,0.000055865006,0.0001213015,0.00038028546,0.001116183],"genre_scores_gemma":[0.9326643,0.00043698063,0.065064564,0.000035985497,0.000009117103,0.00003617368,0.00012320244,0.00003342119,0.0015962912],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996654,0.000021413627,0.000012739812,0.00007160758,0.00020548822,0.000023438066],"domain_scores_gemma":[0.99952626,0.00016641499,0.00007323339,0.00005199606,0.0001631287,0.000018973957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002748713,0.00034793472,0.00024224208,0.0005378687,0.00021254925,0.00033929435,0.0004264446,0.00054501917,0.00075782277],"category_scores_gemma":[0.0005348155,0.00021568377,0.00018308879,0.00033747053,0.00035280874,0.00033028304,0.0003445515,0.000331063,0.00023656512],"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":[0.00006606102,0.000014497143,0.0009803049,0.00006475037,0.000004250053,0.000062806466,0.000053759144,0.0005622836,0.9865536,0.00006630908,0.000041659277,0.0115297055],"study_design_scores_gemma":[0.0000039160755,0.0001733109,0.00903322,0.000006841341,0.000011007043,0.00019003064,0.00007805679,0.0076015997,0.98216504,0.00004748361,0.000676594,0.0000129130885],"about_ca_topic_score_codex":0.00079694553,"about_ca_topic_score_gemma":0.0030880736,"teacher_disagreement_score":0.00079694553,"about_ca_system_score_codex":0.00031949618,"about_ca_system_score_gemma":0.0002661057,"threshold_uncertainty_score":0.0025351644},"labels":[],"label_agreement":null},{"id":"W2750976195","doi":"10.5281/zenodo.557093","title":"Proceedings Of The 18Th International Conference On Biomedical Applications Of Electrical Impedance Tomography","year":2017,"lang":"en","type":"article","venue":"OpenBU/Boston University Institutional Repository (Boston University)","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Ottawa","funders":"Congressionally Directed Medical Research Programs; Japan Society for the Promotion of Science; Engineering and Physical Sciences Research Council; Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency; Tekes; National Research Foundation; Bundesministerium für Bildung und Forschung; Instrumentariumin Tiedesäätiö; European Commission; National Institutes of Health; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; Vienna Science and Technology Fund; GlaxoSmithKline; Jane ja Aatos Erkon Säätiö; Consejo Nacional de Ciencia y Tecnología; National Science Foundation","keywords":"Electrical impedance tomography; Presentation (obstetrics); Electrical impedance; Computed tomography","score_opus":0.009017158766519132,"score_gpt":0.19560766268614635,"score_spread":0.18659050391962723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750976195","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015503815,0.22133528,0.1959539,0.029044792,0.11721875,0.0008256202,0.0029642852,0.005133173,0.4120204],"genre_scores_gemma":[0.077667646,0.14305079,0.07161998,0.006176596,0.03127036,0.00070425577,0.0063696695,0.002392373,0.66074824],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976509,0.00041551105,0.00018140738,0.00028443092,0.0013070714,0.00016072448],"domain_scores_gemma":[0.99499327,0.00077207363,0.00021954544,0.00041793488,0.002976785,0.0006204182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035873265,0.0012870677,0.0013303555,0.0028128978,0.0008888613,0.0052940673,0.001294947,0.001951016,0.087739706],"category_scores_gemma":[0.0052165217,0.0004466616,0.0008837828,0.0015369393,0.0012655575,0.0022180544,0.0024643417,0.0027677221,0.04988104],"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":[0.0003540859,0.00014993105,0.0020818259,0.000871951,0.0001713364,0.00056153495,0.00027099883,0.0008046025,0.017831821,0.008077467,0.4741133,0.49471125],"study_design_scores_gemma":[0.000018984876,0.000101721445,0.0027868769,0.00037966238,0.00006446899,0.0011412918,0.00015475266,0.001514708,0.004846978,0.0039851754,0.98495877,0.00004659195],"about_ca_topic_score_codex":0.0016797266,"about_ca_topic_score_gemma":0.0024750943,"teacher_disagreement_score":0.087739706,"about_ca_system_score_codex":0.0010070124,"about_ca_system_score_gemma":0.0023045791,"threshold_uncertainty_score":0.29351854},"labels":[],"label_agreement":null},{"id":"W2761137854","doi":"","title":"A better method to define electrical chargeability from laboratory measurements of spectral impedance using a parallel Cole-Cole equivalent circuit","year":2014,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Electrical and Bioimpedance Tomography","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":"Geological Survey of Canada","funders":"","keywords":"Electrical impedance; Equivalent circuit; Electrical network; Mathematics; Calculus (dental); Electrical engineering; Computer science; Engineering; Voltage","score_opus":0.03320425350588288,"score_gpt":0.26074175468416255,"score_spread":0.22753750117827967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761137854","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007947302,0.00016910634,0.988881,0.000132391,0.00009270541,0.000043470543,0.00007306543,0.0010088956,0.0016520782],"genre_scores_gemma":[0.43983334,0.0004301508,0.553689,0.0006753193,0.00015908031,0.00025319052,0.00045309163,0.0006974746,0.0038092972],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982047,0.00044361787,0.00014518513,0.0004716241,0.00067310635,0.000061725754],"domain_scores_gemma":[0.997248,0.00083049794,0.00022859036,0.00082456716,0.0008108472,0.00005746144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001358044,0.0014632862,0.00084830064,0.0017602578,0.00056397467,0.0021512809,0.0016413211,0.0014240891,0.0034836112],"category_scores_gemma":[0.006937232,0.0003245191,0.0006725474,0.0012176933,0.00090507005,0.0047183423,0.00086567085,0.0015823382,0.0013052231],"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":[0.00023455468,0.00045510562,0.005853612,0.00047213238,0.00016127243,0.0003031174,0.0003602047,0.008938568,0.69862914,0.036855932,0.0035236676,0.24421276],"study_design_scores_gemma":[0.000105372885,0.0006918782,0.015223645,0.00014792795,0.00024679533,0.0032989222,0.00031170167,0.2621572,0.62978005,0.042181447,0.04546471,0.00039035498],"about_ca_topic_score_codex":0.00079205056,"about_ca_topic_score_gemma":0.00086177594,"teacher_disagreement_score":0.0034836112,"about_ca_system_score_codex":0.0005368809,"about_ca_system_score_gemma":0.00041097665,"threshold_uncertainty_score":0.0116539},"labels":[],"label_agreement":null},{"id":"W2766449543","doi":"10.1088/1361-6579/aa9828","title":"Limitations and challenges of EIT-based monitoring of stroke volume and pulmonary artery pressure","year":2017,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":34,"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":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Electrical impedance tomography; Stroke volume; Stroke (engine); Medicine; Repeatability; Hemodynamics; Biomedical engineering; Cardiology; Physics; Tomography; Radiology; Mathematics; Statistics; Heart failure; Ejection fraction","score_opus":0.15450564233169173,"score_gpt":0.2414431647599181,"score_spread":0.08693752242822636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766449543","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21783543,0.009677443,0.7628734,0.0033116268,0.00028715483,0.00011467789,0.00055690156,0.0010971444,0.0042462177],"genre_scores_gemma":[0.92899394,0.0028417734,0.066770025,0.00039197685,0.00013113512,0.00015013367,0.0002011827,0.000101535734,0.00041833517],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9972294,0.0011979602,0.00019536888,0.00036649086,0.00093819463,0.00007265929],"domain_scores_gemma":[0.99173146,0.0059189764,0.0008936595,0.0006167553,0.00075460935,0.00008459234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038313442,0.0005186991,0.0005828481,0.00037050687,0.00024177413,0.0014181824,0.0009720372,0.0009937987,0.00065611483],"category_scores_gemma":[0.017069789,0.00036082888,0.00032440244,0.0005601785,0.0010997589,0.0012172788,0.0008211171,0.00071561494,0.00039201413],"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":[0.0010867954,0.0001853989,0.09584622,0.0036049003,0.00058727845,0.0011598172,0.0014797925,0.19111174,0.26040423,0.0075621926,0.003791981,0.4331797],"study_design_scores_gemma":[0.00007802683,0.0010106507,0.065970965,0.00068218214,0.00024844383,0.004427909,0.0005955531,0.770382,0.12646845,0.013043939,0.016834376,0.00025747958],"about_ca_topic_score_codex":0.00185671,"about_ca_topic_score_gemma":0.0013890887,"teacher_disagreement_score":0.0038313442,"about_ca_system_score_codex":0.00041557814,"about_ca_system_score_gemma":0.0007867395,"threshold_uncertainty_score":0.020262301},"labels":[],"label_agreement":null},{"id":"W2766980646","doi":"10.1109/autest.2017.8080505","title":"Built-in-test for integrating analog-to-digital converters that utilize a phase-sensitive detector","year":2017,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Converters; Detector; Analog device; Electronic engineering; Analogue electronics; Redundancy (engineering); Digital electronics; Computer hardware; Analog multiplier; Electronic circuit; Analog signal; Digital signal processing; Engineering; Electrical engineering; Voltage","score_opus":0.023078746114248226,"score_gpt":0.2718540590074891,"score_spread":0.24877531289324087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766980646","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1507587,0.001311626,0.8364999,0.00027128606,0.00023281331,0.000401521,0.00025610978,0.0035715715,0.0066964254],"genre_scores_gemma":[0.78190684,0.00031584234,0.21322829,0.00028679267,0.000062706036,0.00014358223,0.00021974041,0.00009603887,0.003740182],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991186,0.00016866019,0.000037581598,0.00011498949,0.00051087537,0.000049296727],"domain_scores_gemma":[0.99822193,0.00069941446,0.0003688389,0.00031067824,0.0003429168,0.00005612888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052133057,0.00057150004,0.00033214892,0.0007021573,0.0002293925,0.00066977285,0.0012462492,0.00054681697,0.0025241673],"category_scores_gemma":[0.0021008723,0.0001966006,0.00022969236,0.0005156359,0.00054587884,0.0008224965,0.0003762593,0.0005421798,0.00060178747],"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":[0.00084508944,0.0003688549,0.006480944,0.00078358053,0.00010240367,0.000881866,0.0002884815,0.009148997,0.6412783,0.024521671,0.0035101436,0.3117896],"study_design_scores_gemma":[0.000085182866,0.0017195479,0.0028880902,0.00007740028,0.00010800427,0.0020406924,0.000049248465,0.08509199,0.8845918,0.0024722696,0.020828452,0.00004729282],"about_ca_topic_score_codex":0.00040790622,"about_ca_topic_score_gemma":0.00078573485,"teacher_disagreement_score":0.0025241673,"about_ca_system_score_codex":0.000570822,"about_ca_system_score_gemma":0.00065158267,"threshold_uncertainty_score":0.00844419},"labels":[],"label_agreement":null},{"id":"W2767315066","doi":"10.1016/j.cherd.2017.11.002","title":"Experimental investigation on an aerated mixing vessel through electrical resistance tomography (ERT) and response surface methodology (RSM)","year":2017,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Impeller; Aeration; Mixing (physics); Agitator; Response surface methodology; Materials science; Mechanical engineering; Mechanics; Process engineering; Chemistry; Engineering; Chromatography; Waste management; Physics","score_opus":0.034576493632343865,"score_gpt":0.2556125147767368,"score_spread":0.22103602114439294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767315066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990377,0.00010616663,0.008684253,0.000046682522,0.000019647863,0.000059224738,0.000132577,0.00007825295,0.0004962516],"genre_scores_gemma":[0.98269594,0.0001763375,0.015907371,0.000019791107,0.000011368804,0.00007056389,0.000095623654,0.000020533933,0.0010024008],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956065,0.00006856166,0.000029301418,0.00012688035,0.00016515837,0.000049474937],"domain_scores_gemma":[0.9996778,0.00010110005,0.000060043694,0.000051632862,0.00008164361,0.000027775932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060242787,0.00055645604,0.00073044904,0.00020408128,0.00072824326,0.00047432206,0.00052270765,0.000999238,0.0008822532],"category_scores_gemma":[0.0006276781,0.00021093716,0.0003729003,0.00028246033,0.00057599734,0.0005338098,0.00044197612,0.00048288403,0.00020650536],"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":[0.00021321334,0.00012111823,0.00040432642,0.00006999799,0.0000070899296,0.000100722726,0.00007092354,0.0008309542,0.996342,0.000090473695,0.00002435703,0.0017247822],"study_design_scores_gemma":[0.0000341708,0.001677746,0.0034043246,0.0000056538424,0.000029838968,0.0000919339,0.000091015645,0.0058347112,0.9880656,0.000059942457,0.00068605907,0.000019003266],"about_ca_topic_score_codex":0.00074969215,"about_ca_topic_score_gemma":0.0008049947,"teacher_disagreement_score":0.000999238,"about_ca_system_score_codex":0.00021789629,"about_ca_system_score_gemma":0.000353478,"threshold_uncertainty_score":0.0031859875},"labels":[],"label_agreement":null},{"id":"W2770977700","doi":"10.1016/b978-0-12-801238-3.10884-0","title":"Bioimpedance Spectroscopy Processing and Applications","year":2017,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Dimensionality reduction; Computer science; Data mining; Set (abstract data type); Data processing; Data reduction; Data set; Artificial intelligence; Identification (biology); Pattern recognition (psychology); Machine learning","score_opus":0.008900101527021854,"score_gpt":0.2259037177717256,"score_spread":0.21700361624470374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770977700","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069874385,0.12895171,0.28017685,0.002401554,0.0033908337,0.000094321644,0.0005513312,0.0017429141,0.57570314],"genre_scores_gemma":[0.026741728,0.05231771,0.058627807,0.00071370514,0.0007701649,0.00008200266,0.00044616783,0.0004233112,0.85987747],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997985,0.000011733047,0.0000075447106,0.000034467983,0.00013635836,0.000011443263],"domain_scores_gemma":[0.9998118,0.000067134286,0.000008752093,0.000020334268,0.0000806814,0.000011322993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002825252,0.0008879873,0.00040314032,0.001373794,0.0003430736,0.0016607937,0.00074734044,0.001214513,0.0357602],"category_scores_gemma":[0.0003948806,0.00045428603,0.00026732552,0.0013845586,0.0005823683,0.0015373651,0.0008158466,0.0009311168,0.017394865],"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":[0.000034400622,0.00003470023,0.0001276165,0.0006202162,0.00001058487,0.00016549788,0.0001483519,0.0014323959,0.05730178,0.03176431,0.054426137,0.853934],"study_design_scores_gemma":[0.0000035302821,0.000039244365,0.0005615144,0.00027660525,0.000013134815,0.0010802281,0.00009524716,0.0038564377,0.032956786,0.018943325,0.9421457,0.000028206874],"about_ca_topic_score_codex":0.0005413061,"about_ca_topic_score_gemma":0.0010126985,"teacher_disagreement_score":0.0357602,"about_ca_system_score_codex":0.00057459256,"about_ca_system_score_gemma":0.00040486746,"threshold_uncertainty_score":0.11962974},"labels":[],"label_agreement":null},{"id":"W2777823755","doi":"","title":"Compensating Electrode Errors Due to Electrode Detachment in Electrical Impedance Tomography","year":2013,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Electrode; Robustness (evolution); Electrical impedance; Biomedical engineering; Computer science; Computer vision; Artificial intelligence; Acoustics; Materials science; Engineering; Electrical engineering; Physics; Chemistry","score_opus":0.0044519361249439875,"score_gpt":0.19818292441695898,"score_spread":0.193730988292015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2777823755","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.077008605,0.00050825096,0.9214405,0.000111640366,0.000072844115,0.000029690029,0.000011792703,0.00029072168,0.0005260641],"genre_scores_gemma":[0.7087619,0.00055111496,0.2884811,0.000109956745,0.00004740858,0.00003484177,0.000047499594,0.00008994911,0.0018762861],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995578,0.0000961432,0.000040961717,0.00010052283,0.00017417372,0.000030324929],"domain_scores_gemma":[0.9988225,0.00061856466,0.00019808677,0.00013461032,0.00020253031,0.000023635585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008060356,0.0006292183,0.00039866354,0.00030798314,0.00019256357,0.00053978234,0.00054520334,0.00065508264,0.00044331778],"category_scores_gemma":[0.0035022802,0.00027712667,0.00026900863,0.0003168692,0.00046029952,0.0007351639,0.0006127467,0.00049892615,0.00014968746],"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":[0.000524441,0.000090210335,0.0062279156,0.000367427,0.00007591677,0.0010202453,0.00038754917,0.22014472,0.45439196,0.0037222875,0.0009797399,0.3120676],"study_design_scores_gemma":[0.000023834014,0.00021517447,0.00531719,0.0000324982,0.000051286388,0.0007677208,0.00007371167,0.84416777,0.14563455,0.0012559656,0.0024181863,0.000042052063],"about_ca_topic_score_codex":0.0011404603,"about_ca_topic_score_gemma":0.0016790103,"teacher_disagreement_score":0.0011404603,"about_ca_system_score_codex":0.0002805141,"about_ca_system_score_gemma":0.00033771258,"threshold_uncertainty_score":0.0042627454},"labels":[],"label_agreement":null},{"id":"W2780001933","doi":"","title":"Use of Temperature as a Contrast Agent in Electrical Impedance Tomography","year":2013,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Electrical and Bioimpedance Tomography","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","funders":"","keywords":"Electrical impedance tomography; Hypertonic saline; Bolus (digestion); Saline; Conductivity; Biomedical engineering; Materials science; Nuclear medicine; Tomography; Perfusion; Isotonic; Nuclear magnetic resonance; Medicine; Chemistry; Radiology; Anesthesia; Surgery; Physics; Internal medicine","score_opus":0.007393682136520643,"score_gpt":0.1940335084667191,"score_spread":0.18663982633019846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2780001933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5911622,0.011104866,0.39426,0.0004896638,0.00018359066,0.0002801715,0.00008975313,0.000338875,0.0020908855],"genre_scores_gemma":[0.77920574,0.0043424536,0.2146161,0.0001662657,0.00007764809,0.00020247092,0.00009359317,0.00010274828,0.001192971],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994686,0.00022969596,0.00003303229,0.000109887755,0.00011803117,0.00004072821],"domain_scores_gemma":[0.9991602,0.00040047092,0.00018256674,0.000086923676,0.00010732238,0.00006253693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011611726,0.0005775864,0.00047222583,0.00058966695,0.0001891178,0.00073906145,0.00058548356,0.0007271292,0.00036808258],"category_scores_gemma":[0.0021511673,0.0003532754,0.00029342514,0.00041785857,0.0008271103,0.0010347742,0.0007596713,0.0006692583,0.00019615926],"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":[0.0003698114,0.00003954632,0.0010845783,0.000114737275,0.000011739049,0.00028650102,0.000046621804,0.00062708324,0.9873962,0.0002956838,0.00004116817,0.009686342],"study_design_scores_gemma":[0.000033669592,0.0009042449,0.0027761383,0.000030384603,0.000060757764,0.0015409692,0.0000331226,0.007388911,0.9844689,0.0002613661,0.0024672444,0.00003422011],"about_ca_topic_score_codex":0.00022207668,"about_ca_topic_score_gemma":0.00025619907,"teacher_disagreement_score":0.0011611726,"about_ca_system_score_codex":0.0002629704,"about_ca_system_score_gemma":0.00028331042,"threshold_uncertainty_score":0.0061409473},"labels":[],"label_agreement":null},{"id":"W2785057084","doi":"10.1371/journal.pone.0191870","title":"Accuracy and reliability of noninvasive stroke volume monitoring via ECG-gated 3D electrical impedance tomography in healthy volunteers","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":44,"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":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Electrical impedance tomography; Supine position; Stroke volume; Medicine; Impedance cardiography; Tomography; Heart rate; Nuclear medicine; Cardiology; Biomedical engineering; Radiology; Internal medicine; Blood pressure","score_opus":0.012187904566866782,"score_gpt":0.22108201393941815,"score_spread":0.20889410937255137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785057084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995503,0.00041084198,0.0032585606,0.000025244319,0.000026733613,0.000018850802,0.00024436,0.00005531695,0.00045707086],"genre_scores_gemma":[0.9985845,0.00008644367,0.00094712235,0.000017617422,0.000016656983,0.000013597872,0.00020426017,0.0000096889025,0.00012013414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985233,0.00048105043,0.00017445652,0.0004859577,0.0002610365,0.00007420973],"domain_scores_gemma":[0.9975478,0.0012068163,0.00036874943,0.00037140277,0.00039273186,0.00011239071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017457779,0.00044694098,0.0004615874,0.0005086125,0.0001626483,0.0007834847,0.00040947204,0.00079668325,0.0004347917],"category_scores_gemma":[0.006775721,0.0002573355,0.00026621405,0.0002505152,0.0005061214,0.00026499524,0.00046806165,0.0002046214,0.00037385637],"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":[0.003936093,0.000168759,0.9181265,0.00015023355,0.00037533554,0.0004342888,0.0014198192,0.0014621995,0.03590134,0.00013680289,0.00047412078,0.03741459],"study_design_scores_gemma":[0.000047900605,0.00089258957,0.9867318,0.000026856329,0.00013907903,0.000739987,0.0002511874,0.0060678986,0.0044510593,0.00014192142,0.00048328046,0.0000264],"about_ca_topic_score_codex":0.0011616716,"about_ca_topic_score_gemma":0.001427303,"teacher_disagreement_score":0.0017457779,"about_ca_system_score_codex":0.00010013578,"about_ca_system_score_gemma":0.00011696919,"threshold_uncertainty_score":0.00923264},"labels":[],"label_agreement":null},{"id":"W2785161861","doi":"10.22215/etd/2011-08927","title":"Validation of EIT using simultaneous dynamic CT images","year":2011,"lang":"ur","type":"dissertation","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Library and Archives Canada","funders":"","keywords":"Physics; Computer science","score_opus":0.00934209745468557,"score_gpt":0.24349355013099824,"score_spread":0.23415145267631268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785161861","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.440836,0.004045722,0.52896565,0.0007078648,0.0006048058,0.0007458806,0.0033572873,0.0028118747,0.017924925],"genre_scores_gemma":[0.7901369,0.001919721,0.19765504,0.00045461464,0.0001007662,0.0003619406,0.002307115,0.0008089548,0.006254941],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988586,0.00026252816,0.00013393944,0.0002496371,0.00041926684,0.00007600906],"domain_scores_gemma":[0.99568933,0.0016014455,0.0002657958,0.00060570095,0.0017388419,0.00009889832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003213286,0.00068075676,0.00032760116,0.0019693738,0.00035171243,0.0018082561,0.0008945726,0.0015328265,0.0064537195],"category_scores_gemma":[0.009132085,0.00058325037,0.00040437144,0.00077852694,0.00069677655,0.0010737993,0.00079841865,0.0006704048,0.0029367763],"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":[0.0019319349,0.0002501729,0.05469008,0.0009808728,0.00021559525,0.0010946951,0.0005544035,0.017206967,0.7297513,0.002262856,0.0031843823,0.18787676],"study_design_scores_gemma":[0.00014212553,0.0011578965,0.08611895,0.00040918356,0.0003941134,0.0070738653,0.0007975809,0.13684098,0.742804,0.001198668,0.02291952,0.00014307327],"about_ca_topic_score_codex":0.0017795177,"about_ca_topic_score_gemma":0.0020783977,"teacher_disagreement_score":0.0064537195,"about_ca_system_score_codex":0.00037992364,"about_ca_system_score_gemma":0.00058930035,"threshold_uncertainty_score":0.021589875},"labels":[],"label_agreement":null},{"id":"W2804277228","doi":"10.23919/ropaces.2018.8364169","title":"Biomedical magnetic induction tomography: An inhomogeneous green's function approach","year":2018,"lang":"en","type":"article","venue":"2018 International Applied Computational Electromagnetics Society Symposium (ACES)","topic":"Electrical and Bioimpedance Tomography","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":"Polytechnique Montréal","funders":"","keywords":"Magnetic field; Tomography; Finite element method; Electromagnetic induction; Salient; Iterative reconstruction; Current (fluid); Green's function; Computer science; Function (biology); Physics; Optics; Computer vision; Artificial intelligence; Electromagnetic coil","score_opus":0.00530485569796928,"score_gpt":0.19479863463708438,"score_spread":0.1894937789391151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804277228","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021700321,0.0005695054,0.9948767,0.00021756392,0.000026324546,0.000014971335,0.00002128229,0.00007890848,0.0020247842],"genre_scores_gemma":[0.31992266,0.007518889,0.6558483,0.0006647417,0.000521,0.00018924571,0.00018352349,0.00024042677,0.014911336],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982625,0.000058070254,0.0000071329714,0.000032449632,0.00005900251,0.000017122633],"domain_scores_gemma":[0.99982625,0.00008253251,0.000021309075,0.000022843713,0.000030967025,0.00001611074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004700439,0.00064840046,0.00042155484,0.0007455841,0.00020404802,0.0006259227,0.00086173206,0.00086965866,0.0009074702],"category_scores_gemma":[0.000828093,0.00020365404,0.00041818252,0.0007276127,0.00078051473,0.0010608586,0.00077133765,0.0006514477,0.00047912708],"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":[0.00011382861,0.00009220593,0.0009768993,0.00032838073,0.000054608692,0.00055692473,0.0002082817,0.27491656,0.09911676,0.4224279,0.0034474235,0.19776022],"study_design_scores_gemma":[0.000018099616,0.00007181587,0.0006788683,0.000036794383,0.000032552907,0.00065941777,0.000035966044,0.8777594,0.012190758,0.09439207,0.014093033,0.000031195614],"about_ca_topic_score_codex":0.0005925453,"about_ca_topic_score_gemma":0.00042794627,"teacher_disagreement_score":0.0009074702,"about_ca_system_score_codex":0.00042907082,"about_ca_system_score_gemma":0.0004707364,"threshold_uncertainty_score":0.003113091},"labels":[],"label_agreement":null},{"id":"W2806714392","doi":"10.1016/j.atherosclerosissup.2018.04.310","title":"Blood Biomarkers and Electrical Monitoring in Advanced Heart Failure","year":2018,"lang":"en","type":"article","venue":"Atherosclerosis Supplements","topic":"Electrical and Bioimpedance Tomography","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":"Prevention of Organ Failure; University of British Columbia","funders":"","keywords":"Heart failure; Medicine; Intensive care medicine; Cardiology","score_opus":0.0077075039445532265,"score_gpt":0.2221339880031801,"score_spread":0.21442648405862688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806714392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8404106,0.14023057,0.004655231,0.002209431,0.0008379914,0.000059414473,0.0008425162,0.00011424197,0.010640068],"genre_scores_gemma":[0.9744813,0.01722688,0.0037606733,0.00076403585,0.0010357896,0.000057022866,0.0002601165,0.000015147269,0.002399055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973184,0.000109953384,0.00004076649,0.00003016135,0.000069839785,0.000017455603],"domain_scores_gemma":[0.99941456,0.00025134764,0.0001350286,0.000026957347,0.000101577934,0.000070587674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006139351,0.00054847193,0.00073559245,0.00077664555,0.00022732215,0.0008868978,0.00018000431,0.0007142819,0.00072806707],"category_scores_gemma":[0.0016203221,0.00015376181,0.00020958394,0.0007378391,0.00019068731,0.00035248618,0.0002467906,0.00060915516,0.00020784624],"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":[0.009746923,0.0012875273,0.64874727,0.0010093858,0.0008091421,0.0020524554,0.00037870166,0.0010744821,0.042360846,0.00070582767,0.0045070043,0.28732038],"study_design_scores_gemma":[0.00028727148,0.004951505,0.9513218,0.00044852885,0.0009760834,0.0027201057,0.0004888939,0.003405477,0.018705133,0.002105757,0.014524914,0.00006455874],"about_ca_topic_score_codex":0.00053729664,"about_ca_topic_score_gemma":0.0008702916,"teacher_disagreement_score":0.0008868978,"about_ca_system_score_codex":0.00015939631,"about_ca_system_score_gemma":0.00020447453,"threshold_uncertainty_score":0.0032467842},"labels":[],"label_agreement":null},{"id":"W287808344","doi":"","title":"Portable 3D/4D Ultrasound Diagnostic Imaging System","year":2010,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Triage; Medical imaging; Computer science; Ultrasound imaging; Ultrasound; Artificial intelligence; Medical physics; Medicine; Medical emergency; Radiology","score_opus":0.0015701144015137216,"score_gpt":0.15962694942708922,"score_spread":0.1580568350255755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W287808344","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07021612,0.0013249216,0.7975745,0.0012321923,0.00072266004,0.0011729852,0.0047364626,0.0557476,0.067272596],"genre_scores_gemma":[0.6265564,0.0012084406,0.25845236,0.0017193564,0.00043797615,0.0010999022,0.007717067,0.00091364013,0.10189485],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99961805,0.00003812838,0.000028362316,0.00009147709,0.00018809644,0.000035920544],"domain_scores_gemma":[0.9995478,0.000066524044,0.000050976483,0.000095966905,0.00018069356,0.000058030724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031692965,0.0007306231,0.0005374093,0.0012289903,0.00040444508,0.00085099984,0.0017207111,0.0007707694,0.042572446],"category_scores_gemma":[0.000765141,0.0003775695,0.00031296472,0.0007269069,0.0002489689,0.00066671026,0.0013800806,0.0004273293,0.016477222],"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":[0.0014135311,0.000248633,0.008433953,0.00096269225,0.00014187489,0.00171422,0.0004243907,0.010311514,0.19071308,0.0045722127,0.088588096,0.69247586],"study_design_scores_gemma":[0.00072184444,0.00237261,0.023635453,0.0004979653,0.00052440586,0.013800918,0.0004158821,0.2233491,0.26009706,0.006506682,0.46760207,0.0004760651],"about_ca_topic_score_codex":0.0014148854,"about_ca_topic_score_gemma":0.00078416994,"teacher_disagreement_score":0.042572446,"about_ca_system_score_codex":0.00035980044,"about_ca_system_score_gemma":0.00060952915,"threshold_uncertainty_score":0.14241898},"labels":[],"label_agreement":null},{"id":"W2885314081","doi":"10.1504/ijbet.2018.10015344","title":"Rapid estimation of object movements in magnetic induction tomography","year":2018,"lang":"en","type":"article","venue":"International Journal of Biomedical Engineering and Technology","topic":"Electrical and Bioimpedance Tomography","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":"Princess Margaret Cancer Centre","funders":"","keywords":"Artificial intelligence; Computer science; Computer vision; Object (grammar); Image (mathematics); Iterative reconstruction; Pattern recognition (psychology)","score_opus":0.0031475082594323357,"score_gpt":0.20316247868100965,"score_spread":0.20001497042157731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885314081","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04411505,0.0003131264,0.95480233,0.000060433493,0.00002317909,0.000039767583,0.00003583856,0.00029778283,0.0003123828],"genre_scores_gemma":[0.5072531,0.00074191845,0.4904589,0.0000721326,0.00003911502,0.00013146104,0.00021570211,0.00013423772,0.00095337385],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997013,0.00008360035,0.000021268856,0.00005742761,0.00011477216,0.00002166918],"domain_scores_gemma":[0.99935,0.00037403512,0.000109374145,0.00005578943,0.00009283092,0.000018005863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048633167,0.00044594365,0.00034436418,0.0005831151,0.0001719679,0.00041927202,0.0003831632,0.0006005344,0.00041384264],"category_scores_gemma":[0.0025600914,0.00025808415,0.00021394342,0.00062598835,0.0003413315,0.0005016931,0.0004479369,0.0003881453,0.00024849767],"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":[0.0005930303,0.00008396694,0.0057703657,0.00034125158,0.000062404106,0.0005496788,0.00029592152,0.15190202,0.2878052,0.0031343854,0.001149141,0.54831266],"study_design_scores_gemma":[0.000022952634,0.0002477292,0.014763159,0.00003339837,0.00004368295,0.0011426682,0.00008595037,0.88322574,0.09309429,0.0027626476,0.004528506,0.00004921914],"about_ca_topic_score_codex":0.0008172145,"about_ca_topic_score_gemma":0.0009021784,"teacher_disagreement_score":0.0008172145,"about_ca_system_score_codex":0.00018486263,"about_ca_system_score_gemma":0.0003046281,"threshold_uncertainty_score":0.002572},"labels":[],"label_agreement":null},{"id":"W2887450437","doi":"10.1109/memea.2018.8438680","title":"Accurate Technique for Measuring Electrical Permittivity of Biological Tissues at Low Frequencies and Sensitivity Analysis","year":2018,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Western University","funders":"","keywords":"Permittivity; Materials science; Capacitive sensing; Sensitivity (control systems); Capacitance; Electrical impedance; Dielectric; Repeatability; Biomedical engineering; Biological tissue; Acoustics; Finite element method; Electronic engineering; Optoelectronics; Computer science; Electrical engineering; Mathematics; Engineering; Physics; Electrode","score_opus":0.026009525548426157,"score_gpt":0.24612164364721212,"score_spread":0.22011211809878595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887450437","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029306915,0.0012522559,0.96769387,0.0000963783,0.00008711141,0.00004881672,0.00005581269,0.00037413574,0.0010846996],"genre_scores_gemma":[0.30820048,0.001973006,0.68742573,0.00014478047,0.00007818287,0.00019078226,0.00012661888,0.000095970245,0.0017645132],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99831593,0.0002464595,0.00008924129,0.00030716258,0.0009827666,0.000058447444],"domain_scores_gemma":[0.99864465,0.00059634034,0.00017744284,0.00028158107,0.00026927938,0.00003066866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010824662,0.0007901483,0.0005906356,0.0013008912,0.00027535524,0.00053371623,0.00081093656,0.0009816183,0.00081631175],"category_scores_gemma":[0.0026401293,0.00044404416,0.00034658948,0.0007626056,0.0006400485,0.0012357691,0.00096005143,0.000903001,0.0005575954],"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":[0.00004608818,0.00002041814,0.000935417,0.00023928925,0.000018672807,0.00013366755,0.000132802,0.0013889684,0.9309004,0.0016241467,0.00020624207,0.06435393],"study_design_scores_gemma":[0.000012813364,0.00025437778,0.004900563,0.000042184114,0.00006602178,0.0027510372,0.00011578135,0.023601394,0.9562578,0.0018667612,0.010058227,0.00007311549],"about_ca_topic_score_codex":0.00020146083,"about_ca_topic_score_gemma":0.0004171342,"teacher_disagreement_score":0.0013008912,"about_ca_system_score_codex":0.00026321525,"about_ca_system_score_gemma":0.00024029575,"threshold_uncertainty_score":0.0057246685},"labels":[],"label_agreement":null},{"id":"W2888638072","doi":"10.2478/joeb-2018-0004","title":"Cancer detection based on electrical impedance spectroscopy: A clinical study","year":2018,"lang":"en","type":"article","venue":"Journal of Electrical Bioimpedance","topic":"Electrical and Bioimpedance Tomography","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":"Provincial Health Services Authority; BC Cancer Agency; Simon Fraser University","funders":"","keywords":"Cancer detection; Dielectric spectroscopy; Electrical impedance; Cancer; Biomedical engineering; Sensitivity (control systems); Computer science; Medicine; Electronic engineering; Internal medicine; Engineering; Electrical engineering; Chemistry","score_opus":0.015076757146487794,"score_gpt":0.3123465611776961,"score_spread":0.2972698040312083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888638072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984592,0.008155651,0.0020247058,0.00040999905,0.00006548221,0.00028073887,0.00017136299,0.00002328234,0.0042766677],"genre_scores_gemma":[0.9931191,0.0038413396,0.0010911262,0.0003838838,0.00016508605,0.00009299961,0.00020272902,0.0000088355055,0.0010949665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995466,0.00014433551,0.000042478165,0.00012614646,0.0000892263,0.00005128137],"domain_scores_gemma":[0.99900645,0.00042229443,0.000090014415,0.00008596291,0.00023861423,0.00015667474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008499002,0.0005232492,0.0005778466,0.0009706066,0.00054238865,0.0006806913,0.0002683119,0.0012277126,0.002190388],"category_scores_gemma":[0.0025737013,0.00027754204,0.00035220166,0.00078589504,0.00084175915,0.00075917697,0.0005111112,0.00062841375,0.0008867127],"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":[0.012494516,0.007917344,0.7133586,0.00090626,0.00037585272,0.042067334,0.0021342046,0.001057701,0.045867648,0.00092986744,0.0038774605,0.16901328],"study_design_scores_gemma":[0.0012019163,0.045016736,0.7491288,0.00035053026,0.00072301243,0.15219958,0.003050906,0.006252487,0.017035121,0.0011644384,0.023634842,0.00024164765],"about_ca_topic_score_codex":0.0005934346,"about_ca_topic_score_gemma":0.0004129402,"teacher_disagreement_score":0.002190388,"about_ca_system_score_codex":0.0003096171,"about_ca_system_score_gemma":0.00025831902,"threshold_uncertainty_score":0.0073275566},"labels":[],"label_agreement":null},{"id":"W2894629861","doi":"10.1109/jsen.2018.2873909","title":"Evaluation of Near-Field Electromagnetic Shielding Effectiveness at Low Frequencies","year":2018,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Intecsea (Canada)","funders":"Coventry University","keywords":"Electromagnetic shielding; Shields; Attenuation; Acoustics; Electromagnetic interference; Eddy current; Electromagnetic field; Magnetic field; Conducted electromagnetic interference; Electromagnetic reverberation chamber; Coupling (piping); Materials science; Electronic engineering; Optics; Electrical engineering; Physics; EMI; Engineering; Mechanical engineering","score_opus":0.01389023181680644,"score_gpt":0.24858135461975459,"score_spread":0.23469112280294815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894629861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92970765,0.00042213753,0.06744968,0.00002052461,0.000015259113,0.000030964322,0.000056843965,0.00024207727,0.00205474],"genre_scores_gemma":[0.98449177,0.00022497978,0.014730628,0.000009759544,0.0000036669455,0.000016268288,0.000045476452,0.00001589739,0.00046167415],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997321,0.000056910554,0.000013280183,0.000030192066,0.00014101276,0.000026618549],"domain_scores_gemma":[0.99911183,0.00043922296,0.00014368955,0.00006760456,0.00020674491,0.00003094911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049660366,0.00043479918,0.0002394525,0.0006303098,0.00015710035,0.00026317584,0.00028210614,0.0003979328,0.0006273635],"category_scores_gemma":[0.0013414876,0.00011198555,0.0001297112,0.0003309418,0.00033482877,0.00038233658,0.00029130228,0.00013929112,0.00022109468],"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":[0.0005247472,0.00008355799,0.0070349635,0.0002103416,0.000026430582,0.00024931206,0.0002319137,0.011093213,0.9310162,0.00052384264,0.00011291861,0.048892554],"study_design_scores_gemma":[0.00001533715,0.001253114,0.02313429,0.000030015908,0.00007063382,0.00071779575,0.00021178258,0.053829014,0.9190907,0.00027039784,0.0013459069,0.00003105602],"about_ca_topic_score_codex":0.00024851804,"about_ca_topic_score_gemma":0.00044228404,"teacher_disagreement_score":0.0006303098,"about_ca_system_score_codex":0.00012625154,"about_ca_system_score_gemma":0.00011530682,"threshold_uncertainty_score":0.0026263595},"labels":[],"label_agreement":null},{"id":"W2898456987","doi":"10.1164/rccm.201808-1551le","title":"Electrical Impedance Tomography Can Identify Ventilation and Perfusion Defects: A Neonatal Case","year":2018,"lang":"en","type":"letter","venue":"American Journal of Respiratory and Critical Care Medicine","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Health and Medical Research Council","keywords":"Medicine; Electrical impedance tomography; Ventilation (architecture); Perfusion; Tomography; Mechanical ventilation; Radiology; Anesthesia; Mechanical engineering","score_opus":0.008493582787021415,"score_gpt":0.26464613636459106,"score_spread":0.25615255357756966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898456987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78632486,0.011542297,0.012072805,0.13437423,0.006681603,0.0005102313,0.00067537616,0.00049094163,0.047327712],"genre_scores_gemma":[0.96108705,0.005453762,0.00581867,0.014427038,0.008591994,0.0001238304,0.0001545492,0.00014172983,0.004201384],"study_design_codex":"case_report","study_design_gemma":"case_report","domain_scores_codex":[0.9984101,0.00025154083,0.00029857655,0.00032470815,0.000336109,0.00037890687],"domain_scores_gemma":[0.9951605,0.0024254506,0.0006195947,0.0002609421,0.00038449335,0.0011489459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012699654,0.0033928133,0.0020317072,0.0035337582,0.0027737736,0.0021255831,0.0026663318,0.014749395,0.0025645518],"category_scores_gemma":[0.015480623,0.0013888163,0.0022301173,0.0015564346,0.0035599421,0.0038691408,0.002435787,0.009304249,0.0009409344],"study_design_candidate":"case_report","study_design_consensus":"case_report","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008664035,0.000011910572,0.0013606264,0.000009613726,0.0000021243795,0.99772245,0.00005458023,0.000025430722,0.000093841896,0.00013935663,0.00025375595,0.00031757297],"study_design_scores_gemma":[0.000008241667,0.000046045992,0.0015926454,0.000036950052,0.000012925703,0.9963462,0.0002187827,0.00034084683,0.00030130343,0.00048738948,0.00059836684,0.000010411183],"about_ca_topic_score_codex":0.00328996,"about_ca_topic_score_gemma":0.004245952,"teacher_disagreement_score":0.014749395,"about_ca_system_score_codex":0.0032539463,"about_ca_system_score_gemma":0.0016865259,"threshold_uncertainty_score":0.023609161},"labels":[],"label_agreement":null},{"id":"W2910885397","doi":"10.5281/zenodo.1210247","title":"Proceedings Of The 19Th International Conference On Biomedical Applications Of Electrical Impedance Tomography","year":2018,"lang":"en","type":"article","venue":"ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway)","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Imaging phantom; Electrical impedance tomography; Electrical impedance; Biomedical engineering; Materials science; Nuclear medicine; Medicine; Engineering; Electrical engineering","score_opus":0.015251051814696659,"score_gpt":0.22664086774899028,"score_spread":0.21138981593429362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910885397","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018600354,0.21834211,0.2226908,0.026056184,0.100023694,0.00083165435,0.002788516,0.005142467,0.40552425],"genre_scores_gemma":[0.09680741,0.12366035,0.08446447,0.0054909014,0.024821362,0.00066601555,0.005678598,0.0021615413,0.65624934],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978824,0.00038782123,0.00016396769,0.00026408146,0.0011575806,0.00014411304],"domain_scores_gemma":[0.9958198,0.0007176797,0.00020072608,0.00039196128,0.0023357328,0.0005340081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033348317,0.0011728789,0.0012875765,0.0025288442,0.0007731104,0.0046947883,0.0012188223,0.0018898121,0.0836733],"category_scores_gemma":[0.0047662477,0.00042139908,0.00085067144,0.0013658415,0.0012429926,0.0021511046,0.00235022,0.0025024668,0.043434463],"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":[0.0004526969,0.00016539615,0.0021854658,0.0010187118,0.00020716143,0.0006283675,0.0003264901,0.0009115721,0.025920693,0.009405106,0.40734443,0.5514339],"study_design_scores_gemma":[0.000021404288,0.0001267875,0.003433791,0.0003698169,0.00007443657,0.0012676091,0.00016394322,0.0017579299,0.0065630716,0.00436847,0.9818033,0.000049408947],"about_ca_topic_score_codex":0.0014759741,"about_ca_topic_score_gemma":0.0020023086,"teacher_disagreement_score":0.0836733,"about_ca_system_score_codex":0.00089944515,"about_ca_system_score_gemma":0.0017471695,"threshold_uncertainty_score":0.2799151},"labels":[],"label_agreement":null},{"id":"W2917669850","doi":"10.1002/ceat.201800563","title":"Mixing of Oil in Water Through Electrical Resistance Tomography and Response Surface Methodology","year":2019,"lang":"en","type":"article","venue":"Chemical Engineering & Technology","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Impeller; Mixing (physics); Dispersion (optics); Materials science; Viscosity; Volume fraction; Volume (thermodynamics); Petroleum engineering; Composite material; Mechanical engineering; Engineering; Thermodynamics; Optics; Physics","score_opus":0.006636220995822409,"score_gpt":0.20266713509977727,"score_spread":0.19603091410395485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917669850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80891967,0.00051313324,0.18845464,0.00009791559,0.00003109198,0.00016920603,0.00010318057,0.00040404798,0.0013072412],"genre_scores_gemma":[0.8533659,0.00050099014,0.14429109,0.000027592821,0.000012321694,0.00013233458,0.000097436234,0.00005570641,0.0015167076],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996132,0.000119403085,0.00001845374,0.00005720828,0.00016219317,0.000029551096],"domain_scores_gemma":[0.99968755,0.000164324,0.00006134954,0.000021371505,0.000054871987,0.000010549698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080706284,0.0004462594,0.00033700885,0.00040557532,0.00013173022,0.00037206546,0.00031737745,0.00035334495,0.00061663974],"category_scores_gemma":[0.0008495783,0.00022767136,0.00025256572,0.0004327814,0.00039750952,0.00046136454,0.00027219614,0.00039843045,0.00017502313],"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":[0.00006735829,0.00002115498,0.00011254709,0.000037877373,0.000003118643,0.000015388667,0.0000309045,0.00077118917,0.99363977,0.0001236161,0.000014909077,0.0051621757],"study_design_scores_gemma":[0.0000071540567,0.00017024946,0.00036784023,0.000001760806,0.000005984807,0.000019553188,0.000019475863,0.019205905,0.9797869,0.00003727749,0.00037006644,0.000007960942],"about_ca_topic_score_codex":0.00044487373,"about_ca_topic_score_gemma":0.00064974034,"teacher_disagreement_score":0.00080706284,"about_ca_system_score_codex":0.00018916956,"about_ca_system_score_gemma":0.00017460242,"threshold_uncertainty_score":0.004268229},"labels":[],"label_agreement":null},{"id":"W2931476234","doi":"10.1088/1361-6579/ab14aa","title":"Comparing D-bar and common regularization-based methods for electrical impedance tomography","year":2019,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Institute of Biomedical Imaging and Bioengineering; Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Office of the Royal Society; Royal Society","keywords":"Electrical impedance tomography; Regularization (linguistics); Bar (unit); Electrical impedance; Position (finance); Tomography; Mathematics; Laplace operator; Noise (video); Imaging phantom; Algorithm; Computer science; Mathematical analysis; Physics; Artificial intelligence; Image (mathematics); Optics","score_opus":0.047061422216171246,"score_gpt":0.2822372825148925,"score_spread":0.23517586029872126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2931476234","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06478185,0.0007494686,0.9309245,0.00032206232,0.00007518449,0.00011049308,0.00012720538,0.0012202141,0.0016890051],"genre_scores_gemma":[0.31211144,0.00046446896,0.684448,0.00020914165,0.000041628435,0.00016009959,0.00037747575,0.0004456345,0.0017420826],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984301,0.0006325099,0.00010069518,0.00021765534,0.00055676023,0.00006226654],"domain_scores_gemma":[0.9940467,0.0035489616,0.00053116574,0.0005619907,0.0011578784,0.00015331784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004778301,0.00082345825,0.0005574126,0.0013036124,0.0002575483,0.0013504383,0.0012221914,0.001691419,0.0015601343],"category_scores_gemma":[0.012181027,0.0003635655,0.0007057663,0.0007766241,0.0006254438,0.0011532952,0.0016160297,0.0010564668,0.00040306212],"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":[0.0035737315,0.000693194,0.007460445,0.0016808661,0.00058552175,0.0002377851,0.00042298477,0.4104119,0.08206126,0.02525922,0.0033702727,0.46424285],"study_design_scores_gemma":[0.00007211291,0.00025247916,0.0017032385,0.000041153013,0.00005100742,0.0002155059,0.000042462187,0.9715115,0.022334982,0.0021500613,0.0015741207,0.00005143592],"about_ca_topic_score_codex":0.0014814404,"about_ca_topic_score_gemma":0.001797467,"teacher_disagreement_score":0.004778301,"about_ca_system_score_codex":0.0007184124,"about_ca_system_score_gemma":0.00094067404,"threshold_uncertainty_score":0.025270343},"labels":[],"label_agreement":null},{"id":"W2936559841","doi":"10.1088/1361-6579/ab1794","title":"Comparison of bolus- and filtering-based EIT measures of lung perfusion in an animal model","year":2019,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","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":"Université de Sherbrooke; Carleton University","funders":"","keywords":"Electrical impedance tomography; Perfusion; Supine position; Bolus (digestion); Biomedical engineering; Medicine; Nuclear medicine; Tomography; Cardiology; Radiology; Internal medicine","score_opus":0.0918804101414734,"score_gpt":0.2878547240701155,"score_spread":0.19597431392864206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936559841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95872086,0.00077838294,0.03946877,0.00006521698,0.00003147362,0.00009722964,0.00027502683,0.00013491996,0.00042817392],"genre_scores_gemma":[0.9712913,0.0008231646,0.02592445,0.00005013094,0.000024940917,0.00021588324,0.00053908385,0.000046346966,0.0010847141],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999627,0.000067001005,0.0000310207,0.00009724354,0.00014040954,0.00003740177],"domain_scores_gemma":[0.9990355,0.0002758288,0.00027679114,0.000117355754,0.00021844068,0.00007617428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009846129,0.00037495498,0.00040997585,0.00089134707,0.00012984758,0.00036638568,0.00033064725,0.00045692027,0.0005480152],"category_scores_gemma":[0.001520232,0.00016665118,0.00020816237,0.00027197512,0.00041205875,0.0005251309,0.00020743306,0.00038998568,0.000109802415],"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":[0.001321475,0.0001920249,0.005748084,0.000101823694,0.0000834717,0.00004581144,0.00007985551,0.0009900875,0.9756859,0.00008218072,0.00007148801,0.015597712],"study_design_scores_gemma":[0.00005413898,0.009770165,0.11558132,0.00003787401,0.0003884208,0.0004801897,0.00018061374,0.028960789,0.8433965,0.00018700628,0.0009050984,0.000057929803],"about_ca_topic_score_codex":0.001243236,"about_ca_topic_score_gemma":0.0016901009,"teacher_disagreement_score":0.001243236,"about_ca_system_score_codex":0.00033490124,"about_ca_system_score_gemma":0.00020306573,"threshold_uncertainty_score":0.005207181},"labels":[],"label_agreement":null},{"id":"W2944246511","doi":"10.1002/047134608x.w1431.pub2","title":"Electrical Impedance Tomography","year":2019,"lang":"en","type":"other","venue":"Wiley Encyclopedia of Electrical and Electronics Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":31,"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":"Electrical impedance tomography; Electrical resistivity tomography; Tomography; Iterative reconstruction; Image resolution; Inverse problem; Body surface; Biomedical engineering; Computer science; Electrical resistivity and conductivity; Physics; Optics; Medicine; Computer vision; Engineering; Electrical engineering; Mathematics","score_opus":0.002268708728153062,"score_gpt":0.1714702108554021,"score_spread":0.16920150212724902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944246511","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03737449,0.028732087,0.8214852,0.002678628,0.0014851954,0.00050047773,0.007984827,0.007894237,0.091864824],"genre_scores_gemma":[0.5218022,0.0365275,0.30330753,0.004046468,0.0013487512,0.0010452328,0.0088581955,0.0020271314,0.12103705],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986628,0.00024238531,0.00010235334,0.00032933074,0.00059826,0.000064808206],"domain_scores_gemma":[0.99891126,0.00030863343,0.00015647212,0.00016038789,0.00041865167,0.00004453395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067878014,0.0010298142,0.0008696785,0.0029937013,0.00039379136,0.0026588242,0.0008918645,0.0015233106,0.02014772],"category_scores_gemma":[0.0035555402,0.00040484464,0.0006373006,0.0030710527,0.0006557041,0.001679124,0.0013405444,0.0010986499,0.012041588],"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":[0.0006213151,0.00010697575,0.01543856,0.0021336486,0.0002651779,0.0026053158,0.00046117866,0.007387809,0.12248051,0.018450702,0.04833968,0.78170925],"study_design_scores_gemma":[0.0001843947,0.0004435907,0.028495582,0.0012677655,0.0003936448,0.021433918,0.00073793903,0.058160927,0.16793844,0.03051588,0.69008625,0.0003417199],"about_ca_topic_score_codex":0.0010327711,"about_ca_topic_score_gemma":0.0007442456,"teacher_disagreement_score":0.02014772,"about_ca_system_score_codex":0.0005409549,"about_ca_system_score_gemma":0.0005957269,"threshold_uncertainty_score":0.06740081},"labels":[],"label_agreement":null},{"id":"W2946225330","doi":"10.1088/1361-6579/ab248e","title":"Influence of reconstruction settings in electrical impedance tomography on figures of merit and physiological parameters","year":2019,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Technische Universität Wien Bibliothek; Technische Universität Wien; Vienna Science and Technology Fund","keywords":"Electrical impedance tomography; Figure of merit; Iterative reconstruction; Image quality; Ground truth; Tomography; Data consistency; Computer science; Mathematics; Artificial intelligence; Image (mathematics); Computer vision; Medicine; Radiology","score_opus":0.02127966165158083,"score_gpt":0.2114142607815881,"score_spread":0.19013459913000727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946225330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8496123,0.0017659145,0.14656593,0.00013943228,0.000038205755,0.000082405364,0.0003581404,0.00045131016,0.0009863905],"genre_scores_gemma":[0.9680761,0.00028531696,0.030904092,0.000027470596,0.00000788083,0.000060019036,0.00034809028,0.00010859652,0.00018249144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99695325,0.0016918674,0.00029806158,0.00043896568,0.00048769295,0.0001300505],"domain_scores_gemma":[0.9821797,0.014626158,0.0013145503,0.001154563,0.0006146331,0.000110518326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058900774,0.0009024324,0.0006078563,0.0008313329,0.00019969295,0.0010667051,0.00048946176,0.0010597015,0.0011241458],"category_scores_gemma":[0.022195444,0.0003449614,0.00067260023,0.0004945087,0.00064427604,0.0007462086,0.00067521096,0.0004570351,0.00029026295],"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":[0.007140893,0.0006539289,0.050412606,0.0017435951,0.00063531863,0.0005284203,0.0005127654,0.41879404,0.3530466,0.0021091315,0.00082424463,0.16359843],"study_design_scores_gemma":[0.00011893972,0.0031855172,0.054196157,0.00034096715,0.0005881153,0.0010825347,0.00022969102,0.5821701,0.35416964,0.0017631643,0.001998633,0.00015648949],"about_ca_topic_score_codex":0.00033318793,"about_ca_topic_score_gemma":0.00022632234,"teacher_disagreement_score":0.0058900774,"about_ca_system_score_codex":0.00031302022,"about_ca_system_score_gemma":0.00027220027,"threshold_uncertainty_score":0.031150043},"labels":[],"label_agreement":null},{"id":"W2949255031","doi":"10.1088/1361-6579/ab291d","title":"Thoracic EIT in 3D: experiences and recommendations","year":2019,"lang":"es","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":28,"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":"Transverse plane; Electrode; Plane (geometry); Materials science; Physics; Computer science; Biomedical engineering; Acoustics; Geometry; Mathematics; Anatomy; Medicine","score_opus":0.04958742571240285,"score_gpt":0.2801865088573739,"score_spread":0.23059908314497105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949255031","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03713453,0.21123444,0.5448538,0.08369046,0.011270937,0.0010368063,0.0037872298,0.0061016185,0.100890204],"genre_scores_gemma":[0.12878221,0.19718473,0.60055465,0.011321527,0.0045973104,0.0011283483,0.008652366,0.0032117318,0.044567134],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981104,0.0006799258,0.00019241628,0.00018480472,0.0007044601,0.00012796374],"domain_scores_gemma":[0.99490744,0.001702602,0.00009617981,0.0007845877,0.0017235304,0.0007856015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008206654,0.0012566006,0.00046242366,0.0012537774,0.0006820149,0.0036058433,0.0037954382,0.0038492025,0.024100903],"category_scores_gemma":[0.010168789,0.00056815334,0.0016184017,0.00094586273,0.0013523116,0.004249915,0.0026022482,0.0031029093,0.010983918],"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":[0.0005376523,0.00060292095,0.00715773,0.0028794624,0.00014513012,0.0028962856,0.0016357813,0.019346775,0.008397534,0.010432884,0.14736786,0.7986],"study_design_scores_gemma":[0.00013498678,0.0006009929,0.0043173735,0.004708537,0.00010955295,0.013121491,0.0016690857,0.013340861,0.010650395,0.019830517,0.9312406,0.00027560553],"about_ca_topic_score_codex":0.0030311616,"about_ca_topic_score_gemma":0.002875187,"teacher_disagreement_score":0.024100903,"about_ca_system_score_codex":0.0006723442,"about_ca_system_score_gemma":0.00121054,"threshold_uncertainty_score":0.080625534},"labels":[],"label_agreement":null},{"id":"W2952619184","doi":"10.1016/j.matpur.2015.11.009","title":"Spectroscopic imaging of a dilute cell suspension","year":2015,"lang":"fr","type":"article","venue":"Journal de Mathématiques Pures et Appliquées","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Homogenization (climate); Anisotropy; Membrane; Debye; Polarization (electrochemistry); Physics; Analytical Chemistry (journal); Chemistry; Nuclear magnetic resonance; Condensed matter physics; Optics; Physical chemistry; Chromatography","score_opus":0.011062271751035318,"score_gpt":0.25602667828264514,"score_spread":0.2449644065316098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952619184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73228085,0.0010555764,0.26216483,0.00024839933,0.000052302206,0.000041711206,0.00008507495,0.000249331,0.00382192],"genre_scores_gemma":[0.90581435,0.0009028314,0.090296544,0.00011111929,0.00003891083,0.000050447026,0.00011109058,0.000027525259,0.0026472653],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998721,0.000015400417,0.000005402746,0.000047426536,0.00004473444,0.00001502328],"domain_scores_gemma":[0.9998739,0.000049780614,0.000021050153,0.0000116788815,0.0000272148,0.000016336286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023738143,0.00028032853,0.00028012338,0.00041116905,0.00027736826,0.0004225671,0.00031257857,0.00049732486,0.00064289535],"category_scores_gemma":[0.00025545002,0.00014331439,0.00013823471,0.00020375232,0.00038382015,0.0005160408,0.0004274275,0.0004244545,0.00018945042],"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":[0.000013361396,0.000006832825,0.00013144598,0.000016880225,0.0000018243635,0.000048831,0.000049508482,0.0006223682,0.99570614,0.0006207333,0.000015501175,0.0027665568],"study_design_scores_gemma":[0.000008474969,0.00025441207,0.0026724567,0.00001526203,0.000020066249,0.0005311234,0.00015571756,0.039787892,0.95220757,0.0018883983,0.0024339852,0.000024549201],"about_ca_topic_score_codex":0.00023154198,"about_ca_topic_score_gemma":0.00024956424,"teacher_disagreement_score":0.00064289535,"about_ca_system_score_codex":0.00026300954,"about_ca_system_score_gemma":0.00020359774,"threshold_uncertainty_score":0.0021507144},"labels":[],"label_agreement":null},{"id":"W2954910222","doi":"10.1152/japplphysiol.00973.2018","title":"Electrical impedance tomography identifies a distinct change in regional phase angle delay pattern in ventilation filling immediately prior to a spontaneous pneumothorax","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Physiology","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Health and Medical Research Council; Medical Research Council; State Government of Victoria; Department of Health and Aged Care, Australian Government","keywords":"Pneumothorax; Electrical impedance tomography; Medicine; Lung; Ventilation (architecture); Anesthesia; Mechanical ventilation; Quadrant (abdomen); Surgery; Radiology; Internal medicine; Tomography","score_opus":0.011284108097968518,"score_gpt":0.24636862066711798,"score_spread":0.23508451256914947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954910222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978676,0.0002015117,0.0017204367,0.000008833177,0.000002406263,0.000009851933,0.00003474418,0.000019877756,0.0001348088],"genre_scores_gemma":[0.9990152,0.0001210219,0.000625956,0.0000102452905,0.0000033010108,0.0000127731555,0.0000719928,0.000004217952,0.00013514042],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999032,0.000017902876,0.000008414035,0.000025859972,0.000026008292,0.000018576458],"domain_scores_gemma":[0.9996295,0.00009428346,0.00015483978,0.000024392715,0.000032698514,0.000064362845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017849497,0.00017319799,0.00024315795,0.00036988483,0.000058826627,0.00023508738,0.00012689836,0.00029733955,0.00040440398],"category_scores_gemma":[0.00081517565,0.00015029358,0.00013650619,0.00013823576,0.00037816877,0.000255566,0.00023824758,0.00036238966,0.00011362885],"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":[0.00094008364,0.000032630964,0.038533498,0.000042242267,0.000011293512,0.0005565389,0.000117358206,0.00009884992,0.95511436,0.000050787592,0.000026157077,0.0044760928],"study_design_scores_gemma":[0.00001643523,0.0014426043,0.85327536,0.000013831193,0.000025811281,0.0020677806,0.00020150376,0.001281456,0.14119603,0.000118032025,0.0003475022,0.00001372467],"about_ca_topic_score_codex":0.00022725649,"about_ca_topic_score_gemma":0.00024498074,"teacher_disagreement_score":0.00040440398,"about_ca_system_score_codex":0.00014200753,"about_ca_system_score_gemma":0.00007302872,"threshold_uncertainty_score":0.0013529062},"labels":[],"label_agreement":null},{"id":"W2960441079","doi":"10.5281/zenodo.2691705","title":"Proceedings of the 20th International Conference on Biomedical Applications of Electrical Impedance Tomography","year":2019,"lang":"en","type":"article","venue":"ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway)","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"Congressionally Directed Medical Research Programs; NIHR Imperial Biomedical Research Centre; Japan Society for the Promotion of Science; Medical Research Council; Defense Advanced Research Projects Agency; Business Finland; Chiba University; European Social Fund; National Research Foundation of Korea; Thayer School of Engineering, Dartmouth College; State Scholarships Foundation; National Institute for Health and Care Research; Bundesministerium für Bildung und Forschung; National Research Foundation; Eesti Teadusagentuur; National Natural Science Foundation of China; Irish Research Council; European Commission; National Institutes of Health; Ministry of Science, ICT and Future Planning; Engineering and Physical Sciences Research Council; Dartmouth College","keywords":"Electrical impedance tomography; Tomography; Electrical resistivity tomography; Engineering physics; Medical physics; Medicine; Engineering; Electrical engineering; Radiology; Electrical resistivity and conductivity","score_opus":0.011355820378974585,"score_gpt":0.2128410133571839,"score_spread":0.2014851929782093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2960441079","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014219221,0.21269782,0.18301885,0.023638714,0.10780789,0.00076623133,0.0026481105,0.0046223174,0.45058087],"genre_scores_gemma":[0.05875762,0.10291559,0.06047724,0.0047088247,0.02115599,0.0005379583,0.004997449,0.0018393339,0.74461],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978904,0.00038541187,0.00016205825,0.00029245246,0.0011225013,0.00014719898],"domain_scores_gemma":[0.9955095,0.0007464006,0.00020576507,0.00042852902,0.0025525377,0.00055723183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032378787,0.0013016578,0.0013908546,0.002635078,0.00082426885,0.0052059786,0.0012655569,0.0020927,0.103619255],"category_scores_gemma":[0.0046371245,0.00041841101,0.0008950589,0.0016093549,0.0012619405,0.0022999088,0.00235415,0.0026056203,0.06637295],"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":[0.00036948948,0.0001487037,0.0016067015,0.0009584323,0.0001516648,0.00048655918,0.0002815626,0.0007483173,0.01854139,0.009207398,0.439224,0.5282757],"study_design_scores_gemma":[0.000016612705,0.00010087253,0.002324369,0.00035446568,0.000054426302,0.0009363291,0.00013157625,0.0012609969,0.0039479616,0.003808631,0.9870231,0.0000406196],"about_ca_topic_score_codex":0.0015504756,"about_ca_topic_score_gemma":0.0020451702,"teacher_disagreement_score":0.103619255,"about_ca_system_score_codex":0.00090706686,"about_ca_system_score_gemma":0.001968093,"threshold_uncertainty_score":0.34664094},"labels":[],"label_agreement":null},{"id":"W2963523459","doi":"10.1016/j.jcp.2017.10.017","title":"Reconstruction of a piecewise constant conductivity on a polygonal partition via shape optimization in EIT","year":2017,"lang":"en","type":"article","venue":"Journal of Computational Physics","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Gruppo Nazionale per l'Analisi Matematica, la Probabilità e le loro Applicazioni; York University; New York University Abu Dhabi","keywords":"Piecewise; Electrical impedance tomography; Robustness (evolution); Partition (number theory); Constant (computer programming); Mathematics; Shape optimization; Constant function; Algorithm; Conductivity; Mathematical analysis; Geometry; Tomography; Mathematical optimization; Finite element method; Computer science; Physics; Combinatorics","score_opus":0.016140541022837594,"score_gpt":0.23827714940339592,"score_spread":0.22213660838055832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963523459","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04450135,0.00014567313,0.9524342,0.00021312736,0.000024302228,0.000028000144,0.0001040661,0.00031733938,0.00223191],"genre_scores_gemma":[0.58973074,0.00030666727,0.40622237,0.000171453,0.00002950556,0.00007396653,0.00032474278,0.00034635744,0.0027941673],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982363,0.000047466456,0.00000998447,0.000032882315,0.0000659863,0.000020032885],"domain_scores_gemma":[0.9994454,0.00031365894,0.00006104826,0.00007528942,0.00006619046,0.000038417893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046187898,0.0005577429,0.0007854997,0.00047887553,0.00028646164,0.001331944,0.0009785579,0.0016369505,0.0012818757],"category_scores_gemma":[0.0022125135,0.00063658576,0.000545021,0.0007672233,0.0009516861,0.0011773856,0.0012097481,0.0011381069,0.00040722688],"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":[0.00018010348,0.000050050006,0.0007693174,0.00016960302,0.000031096766,0.00030917465,0.00014619483,0.93173265,0.014726651,0.015301366,0.0009127266,0.03567109],"study_design_scores_gemma":[0.0000055056407,0.000007760962,0.000060962207,0.000005358658,0.000003335813,0.000045334724,0.000014010412,0.99534744,0.0017323782,0.0025337918,0.0002391091,0.000004948099],"about_ca_topic_score_codex":0.0014187727,"about_ca_topic_score_gemma":0.0013418844,"teacher_disagreement_score":0.0016369505,"about_ca_system_score_codex":0.00038050595,"about_ca_system_score_gemma":0.00058225315,"threshold_uncertainty_score":0.004288316},"labels":[],"label_agreement":null},{"id":"W2969269802","doi":"10.3233/978-1-61499-836-5-33","title":"A Level Set Method for Magnetic Induction Tomography of 3D Boxes and Containers","year":2018,"lang":"en","type":"book-chapter","venue":"Studies in applied electromagnetics and mechanics","topic":"Electrical and Bioimpedance Tomography","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":"Toronto Metropolitan University","funders":"","keywords":"Set (abstract data type); Computed tomography; Tomography; Materials science; Nuclear medicine; Computer science; Medicine; Radiology; Programming language","score_opus":0.032384874081943085,"score_gpt":0.2688451082839093,"score_spread":0.2364602342019662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969269802","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00061420875,0.000262711,0.9943857,0.00012537526,0.00005888141,0.000023146837,0.00006205915,0.00019665995,0.0042712046],"genre_scores_gemma":[0.030404912,0.0010394347,0.9536459,0.00017012557,0.00006597728,0.00019589254,0.00030155783,0.0004110558,0.013765029],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996816,0.000059246788,0.000012957501,0.000028091396,0.00020452533,0.000013632532],"domain_scores_gemma":[0.999803,0.00009459553,0.000012577507,0.000028175651,0.00004610772,0.00001552949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000397148,0.00062059885,0.0005499405,0.0007087623,0.000437211,0.0012546943,0.0011897569,0.0011178448,0.007213649],"category_scores_gemma":[0.0009168853,0.00058278255,0.001151433,0.0008103715,0.00071445585,0.0008953895,0.0012701282,0.0020706316,0.002450749],"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":[0.00004930318,0.000056582787,0.00030131347,0.0005201763,0.000072625546,0.00023915779,0.00025169956,0.43860534,0.030429464,0.298851,0.021830933,0.20879239],"study_design_scores_gemma":[0.00000963739,0.000023991364,0.00012924912,0.00005466503,0.000013436378,0.00023521911,0.000021885297,0.8945273,0.0052719754,0.054142103,0.045539867,0.00003068861],"about_ca_topic_score_codex":0.000978639,"about_ca_topic_score_gemma":0.0011994387,"teacher_disagreement_score":0.007213649,"about_ca_system_score_codex":0.0006664768,"about_ca_system_score_gemma":0.0008078773,"threshold_uncertainty_score":0.024132073},"labels":[],"label_agreement":null},{"id":"W2973908297","doi":"10.1164/rccm.201908-1645le","title":"Reply to Frerichs <i>et al.</i> : Simple Electrical Impedance Tomography Measures for the Assessment of Ventilation Distribution","year":2019,"lang":"en","type":"letter","venue":"American Journal of Respiratory and Critical Care Medicine","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":8,"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; St. Michael's Hospital","funders":"","keywords":"Electrical impedance tomography; Medicine; Ventilation (architecture); Simple (philosophy); Tomography; Intensive care medicine; Radiology; Mechanical engineering","score_opus":0.012220516392864807,"score_gpt":0.2977983656773108,"score_spread":0.28557784928444596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973908297","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002995031,0.0007349694,0.00006741613,0.9836992,0.0141328545,0.000006685377,0.00006673252,0.000025352248,0.000967246],"genre_scores_gemma":[0.0031994896,0.0007508998,0.00017444296,0.9643824,0.028980574,0.00002590189,0.000037114212,0.00001952215,0.0024296625],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99819046,0.00050142425,0.00034914567,0.00024470725,0.00047292488,0.00024138209],"domain_scores_gemma":[0.9915916,0.0043844604,0.00066204544,0.00022835995,0.0021649178,0.0009685057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025895566,0.0008275424,0.0012546537,0.0008603602,0.002435538,0.002838501,0.0015206373,0.042900126,0.004967187],"category_scores_gemma":[0.023613175,0.0007299035,0.00090008596,0.00084458565,0.0020566531,0.0031136938,0.0011064943,0.030746596,0.0066548362],"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":[0.000055481116,0.000016649368,0.0008095433,0.000040467283,0.000008956889,0.001604784,0.00007799046,0.00003384152,0.000119205,0.0005987985,0.9923592,0.0042751166],"study_design_scores_gemma":[0.00018515409,0.00013881041,0.0031044802,0.00064425875,0.000057430476,0.009584855,0.0010477396,0.0007792892,0.0006480614,0.007943828,0.97569555,0.00017055812],"about_ca_topic_score_codex":0.0054847077,"about_ca_topic_score_gemma":0.007633915,"teacher_disagreement_score":0.042900126,"about_ca_system_score_codex":0.0028784494,"about_ca_system_score_gemma":0.0024809085,"threshold_uncertainty_score":0.020884633},"labels":[],"label_agreement":null},{"id":"W2981744156","doi":"","title":"A hybrid regularization algorithm for high contrast tomographic image reconstruction","year":2013,"lang":"en","type":"article","venue":"International Conference on Image Processing","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Piecewise; Solver; Regularization (linguistics); Inverse problem; Initialization; Algorithm; Constant function; Mathematics; Inverse; Inversion (geology); Penalty method; Applied mathematics; Mathematical optimization; Mathematical analysis; Computer science; Geometry; Artificial intelligence","score_opus":0.009316795682336473,"score_gpt":0.22798791861787218,"score_spread":0.2186711229355357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981744156","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016475127,0.00007043035,0.9976407,0.000050941857,0.000011422738,0.0000146297025,0.000010241659,0.00015869757,0.0003954049],"genre_scores_gemma":[0.042153914,0.000138056,0.9547252,0.000073094154,0.000024468722,0.00013755592,0.000116330775,0.00012812455,0.0025032125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995454,0.00011487723,0.0000221223,0.00006890199,0.00022050443,0.000028075463],"domain_scores_gemma":[0.999663,0.00011800066,0.000038783484,0.000046925874,0.00011220094,0.000021082315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080577604,0.000553939,0.00074061006,0.0007362703,0.0003769689,0.0007670014,0.0011928946,0.0012045503,0.001652837],"category_scores_gemma":[0.0010823718,0.00040989128,0.0010173024,0.00065671914,0.0005825726,0.00071814476,0.0011745335,0.0011908102,0.00080045837],"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":[0.00015568288,0.00009860037,0.0007539868,0.00022135506,0.00015542684,0.00018377817,0.00019580146,0.5324406,0.044117533,0.05043953,0.0049027293,0.36633497],"study_design_scores_gemma":[0.0000072715925,0.000018681167,0.00006633751,0.000005476034,0.000005232519,0.000050744417,0.0000044902663,0.9940859,0.00168653,0.0021623136,0.001898769,0.000008097362],"about_ca_topic_score_codex":0.0020514326,"about_ca_topic_score_gemma":0.0021175514,"teacher_disagreement_score":0.0020514326,"about_ca_system_score_codex":0.0005460578,"about_ca_system_score_gemma":0.0010679002,"threshold_uncertainty_score":0.0055292845},"labels":[],"label_agreement":null},{"id":"W2982532349","doi":"10.1109/apusncursinrsm.2019.8888840","title":"A Multi-Level Reconstruction Algorithm for Electrical Capacitance Tomography Based on Modular Deep Neural Networks","year":2019,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Electrical capacitance tomography; Modular design; Capacitance; Artificial neural network; Computer science; Tomography; Algorithm; Artificial intelligence; Physics; Optics; Electrode","score_opus":0.010246159523215266,"score_gpt":0.1969457246333647,"score_spread":0.18669956511014946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982532349","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026396874,0.000050433056,0.99661773,0.000054666933,0.000009323769,0.000011388835,0.000016381759,0.00026406036,0.00033632637],"genre_scores_gemma":[0.15065038,0.00015292142,0.84560525,0.00014180817,0.000028513286,0.000116720315,0.00018331766,0.00012332015,0.0029976417],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998294,0.000031012754,0.000010355349,0.000042449275,0.000065642984,0.000021050222],"domain_scores_gemma":[0.9997259,0.0000971662,0.00003981685,0.00003616108,0.00008073572,0.000020313602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058596564,0.0005766389,0.00055823085,0.00043813433,0.00024747624,0.0005681618,0.0011717986,0.0010950628,0.0020553528],"category_scores_gemma":[0.0014303665,0.00041611705,0.0006061603,0.00052813924,0.00039807643,0.0009012707,0.0011791189,0.0015861175,0.00057238835],"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":[0.00009777295,0.000046980927,0.00057674525,0.000081878075,0.000058377664,0.00009139448,0.00006663887,0.6452448,0.017049782,0.01621205,0.0024583389,0.31801525],"study_design_scores_gemma":[0.000002276353,0.00000792365,0.00003081191,0.0000022165962,0.000002362083,0.000012515311,0.0000014923862,0.9975828,0.00095275324,0.0010754613,0.0003269678,0.0000024229457],"about_ca_topic_score_codex":0.0033931262,"about_ca_topic_score_gemma":0.00603549,"teacher_disagreement_score":0.0033931262,"about_ca_system_score_codex":0.00080376153,"about_ca_system_score_gemma":0.000793832,"threshold_uncertainty_score":0.006875813},"labels":[],"label_agreement":null},{"id":"W2982584497","doi":"10.1109/apusncursinrsm.2019.8889233","title":"Evaluation of an Inversion Algorithm for Noninvasive Specific Absorption Rate Applications","year":2019,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Imaging phantom; Specific absorption rate; Inversion (geology); Inverse problem; Transverse plane; Algorithm; Computer science; Electromagnetic field; Inverse; Magnetic field; Absorption (acoustics); Physics; Optics; Mathematics; Engineering; Telecommunications; Mathematical analysis; Geology","score_opus":0.01779617121256482,"score_gpt":0.24130818284063113,"score_spread":0.2235120116280663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982584497","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058387373,0.00012986491,0.9386349,0.00011928594,0.000026423193,0.00015339114,0.000052196676,0.00074282964,0.0017537895],"genre_scores_gemma":[0.22031325,0.0001403205,0.77705115,0.000046538542,0.000013059073,0.00013540358,0.00016267359,0.00020283494,0.0019347569],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994374,0.00015611443,0.000025765034,0.00004933692,0.00030103608,0.000030292082],"domain_scores_gemma":[0.99768615,0.0011629836,0.00011224722,0.00011721894,0.00087321026,0.000048151906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018502929,0.0005960859,0.00037762243,0.0004820695,0.0002873657,0.0007094429,0.00063282956,0.00077680324,0.0018383451],"category_scores_gemma":[0.00535355,0.00018394305,0.0002059585,0.00033669767,0.0002595806,0.0007440162,0.00043186775,0.00047840396,0.00038878762],"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":[0.0011563343,0.00046262433,0.0036756783,0.00027278587,0.00013678854,0.00018701048,0.00017875852,0.43143943,0.12897375,0.010767025,0.0016587491,0.421091],"study_design_scores_gemma":[0.000040249815,0.00026047791,0.00062582426,0.000011045965,0.000018221323,0.000109923974,0.000021774487,0.96416473,0.032790873,0.000530287,0.0014118616,0.0000148277395],"about_ca_topic_score_codex":0.0020952458,"about_ca_topic_score_gemma":0.0020048944,"teacher_disagreement_score":0.0020952458,"about_ca_system_score_codex":0.00041167322,"about_ca_system_score_gemma":0.001150409,"threshold_uncertainty_score":0.009785414},"labels":[],"label_agreement":null},{"id":"W3008103577","doi":"10.1007/s00249-020-01425-0","title":"Extraction of bioimpedance phase information from its magnitude using a non-uniform Kramers–Kronig transform","year":2020,"lang":"en","type":"article","venue":"European Biophysics Journal","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Kramers–Kronig relations; Phase (matter); Extraction (chemistry); Magnitude (astronomy); Algorithm; Mathematics; Computer science; Physics; Optics; Chemistry; Chromatography; Refractive index; Quantum mechanics","score_opus":0.0192487285892674,"score_gpt":0.23974385344611462,"score_spread":0.22049512485684722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008103577","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05072366,0.00038437167,0.94466925,0.00021080577,0.00005244914,0.000056204015,0.00021108036,0.00037713858,0.0033150981],"genre_scores_gemma":[0.36644748,0.001531316,0.62577194,0.00015182325,0.00008649177,0.00013964488,0.00070040853,0.00027582937,0.004895099],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988735,0.000020152587,0.00000906205,0.000023778137,0.000047865382,0.0000117879945],"domain_scores_gemma":[0.99972874,0.000106377825,0.00004167973,0.000047130878,0.000064305554,0.000011614868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028551277,0.0006371642,0.0002794056,0.0008007331,0.00017434456,0.0006414986,0.0003620378,0.0005231854,0.0021763202],"category_scores_gemma":[0.0011094011,0.00029804284,0.00028718848,0.0008415025,0.00044709182,0.0012498184,0.00040398803,0.00062104914,0.0010464541],"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":[0.0002614433,0.00008585194,0.00084355177,0.00026222534,0.00002932529,0.00026156323,0.00009689283,0.008154662,0.7878031,0.012174062,0.0006401831,0.18938705],"study_design_scores_gemma":[0.00007776465,0.0003013794,0.008515937,0.00008963751,0.00015034755,0.0020769837,0.00012818434,0.385722,0.574611,0.015107663,0.013105296,0.000113694645],"about_ca_topic_score_codex":0.00020002606,"about_ca_topic_score_gemma":0.00036267046,"teacher_disagreement_score":0.0021763202,"about_ca_system_score_codex":0.00015274197,"about_ca_system_score_gemma":0.0004628305,"threshold_uncertainty_score":0.007280469},"labels":[],"label_agreement":null},{"id":"W3012306577","doi":"10.1002/cjce.23748","title":"Investigation of fluidized bed behaviour using electrical capacitance tomography","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fluidization; Slugging; Electrical capacitance tomography; Fluidized bed; Materials science; Distributor; Porosity; Superficial velocity; Amplitude; Mechanics; Void (composites); Electrode; Composite material; Capacitance; Thermodynamics; Chemistry; Physics; Flow (mathematics); Optics","score_opus":0.01440696029244796,"score_gpt":0.17426952465272677,"score_spread":0.15986256436027882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012306577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9633479,0.0003362183,0.034957092,0.00006142138,0.000016416025,0.00002801588,0.00019788604,0.00012295171,0.00093219656],"genre_scores_gemma":[0.9927781,0.0001370853,0.0064695473,0.000012697938,0.0000036037202,0.000009922199,0.00012602133,0.0000105218005,0.000452575],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998406,0.00001964204,0.0000058946976,0.00002486809,0.000087875436,0.000021180262],"domain_scores_gemma":[0.9995332,0.00024563394,0.000040199568,0.00002126836,0.00013623212,0.000023637427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002822902,0.00016605969,0.0001732221,0.00060301815,0.00017416595,0.00031852903,0.00028605852,0.0002978102,0.0011338822],"category_scores_gemma":[0.0010764438,0.00013590473,0.000095922594,0.00048369044,0.00040067316,0.00040036978,0.0001700056,0.0002643278,0.00009395003],"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":[0.00014125582,0.000025570864,0.0022288624,0.00004446028,0.000006820429,0.00019422601,0.00008139792,0.0035821286,0.9875957,0.0002445852,0.000079538884,0.005775413],"study_design_scores_gemma":[0.000015842825,0.00022881507,0.019311761,0.000007991528,0.000011083018,0.00028759846,0.00012445467,0.06724005,0.9113519,0.00013653963,0.0012588697,0.000025046571],"about_ca_topic_score_codex":0.0025255508,"about_ca_topic_score_gemma":0.0015651166,"teacher_disagreement_score":0.0025255508,"about_ca_system_score_codex":0.0004115708,"about_ca_system_score_gemma":0.00016401427,"threshold_uncertainty_score":0.005021751},"labels":[],"label_agreement":null},{"id":"W3019873486","doi":"10.1088/1361-6579/ab8ccd","title":"Beneficial techniques for spatio-temporal imaging in electrical impedance tomography","year":2020,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance tomography; Temporal resolution; Computer science; Regularization (linguistics); Kalman filter; Artificial intelligence; Iterative reconstruction; Image resolution; Hyperparameter; Covariance; Computer vision; Tomography; Mathematics","score_opus":0.03964508909981441,"score_gpt":0.2371429236533745,"score_spread":0.1974978345535601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019873486","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004060997,0.001436996,0.9920959,0.00039912065,0.000096551514,0.00004855313,0.000060861235,0.00032413253,0.0014769394],"genre_scores_gemma":[0.09310359,0.002501187,0.90190303,0.0002186306,0.00013002571,0.00016778168,0.00020529337,0.00022825095,0.001542295],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99789584,0.0006741461,0.00015895735,0.00026757127,0.00094024,0.0000632583],"domain_scores_gemma":[0.9950747,0.0025452862,0.0008573756,0.00064301543,0.00080404454,0.0000755563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030179864,0.0009033672,0.00046391998,0.0009932356,0.00034799727,0.0013606228,0.0010274921,0.0014630933,0.0036197968],"category_scores_gemma":[0.011663686,0.00039411077,0.0011467568,0.0015846512,0.0010981398,0.0023784009,0.0012049054,0.0016628823,0.0010855984],"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":[0.0006336972,0.00025177974,0.0050846385,0.0020038802,0.00030125811,0.0004584102,0.00040623196,0.14225334,0.1405458,0.10698096,0.0061933734,0.59488666],"study_design_scores_gemma":[0.00013543839,0.00054978975,0.006445538,0.00062302314,0.0002555463,0.0028873926,0.00018714523,0.7023907,0.18113929,0.05217625,0.053001884,0.00020812673],"about_ca_topic_score_codex":0.0016268085,"about_ca_topic_score_gemma":0.0016947557,"teacher_disagreement_score":0.0036197968,"about_ca_system_score_codex":0.0007173623,"about_ca_system_score_gemma":0.00092316,"threshold_uncertainty_score":0.015960872},"labels":[],"label_agreement":null},{"id":"W3026290284","doi":"10.5539/mas.v14n7p1","title":"Bio Phantoms Mimicking the Dielectric and Mechanical Properties of Human Skin Tissue at Low-Frequency Ranges","year":2020,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Auckland University of Technology, New Zealand","keywords":"Gelatin; Materials science; Distilled water; Dielectric; Biomedical engineering; Human skin; Composite material; Optoelectronics; Chemistry; Medicine","score_opus":0.016251812950466543,"score_gpt":0.20548509460118078,"score_spread":0.18923328165071424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026290284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66692156,0.0056229923,0.3141638,0.00046416064,0.0003620374,0.0013949894,0.0017561633,0.001422286,0.007891958],"genre_scores_gemma":[0.7977012,0.004626762,0.18461254,0.00059574953,0.000058127316,0.0019325623,0.0020523733,0.0001871303,0.008233636],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997788,0.00006129332,0.000024448997,0.000049521237,0.00006297472,0.000022991246],"domain_scores_gemma":[0.99948514,0.00024547463,0.000105269864,0.0000754399,0.000057948564,0.00003067954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059167424,0.00068569294,0.00022781055,0.0005903761,0.00014317846,0.0002758545,0.00033568777,0.00052113633,0.0024572064],"category_scores_gemma":[0.00087260944,0.0002221381,0.00024731658,0.0004509913,0.00034107175,0.00040536042,0.0003119174,0.00039597964,0.00052247674],"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":[0.00013457284,0.00009323455,0.00022002976,0.00015468984,0.0000087034,0.00016037837,0.00004522015,0.0011101731,0.9928214,0.0005963057,0.00019792606,0.004457439],"study_design_scores_gemma":[0.00005325433,0.0015611129,0.00318976,0.000049711925,0.00007675691,0.001834468,0.00009789685,0.00756424,0.9707206,0.0006895837,0.014128654,0.000034126024],"about_ca_topic_score_codex":0.00014605421,"about_ca_topic_score_gemma":0.00023906355,"teacher_disagreement_score":0.0024572064,"about_ca_system_score_codex":0.00014573343,"about_ca_system_score_gemma":0.00021529259,"threshold_uncertainty_score":0.008220136},"labels":[],"label_agreement":null},{"id":"W3034332226","doi":"10.22215/etd/2017-11744","title":"Determination of Bioimpedance Using Multi-Frequency Bio-electrical Impedance Analysis","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Electronic engineering; Electrical impedance; Transient (computer programming); Electronic circuit; Amplifier; Electrical engineering; CMOS; Voltage; Frequency response; Transient response; Engineering; Computer science","score_opus":0.01703172103287141,"score_gpt":0.2882035954930926,"score_spread":0.2711718744602212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034332226","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15070312,0.0028554592,0.83557063,0.0002188346,0.00016183828,0.00030739492,0.00072144147,0.0011947862,0.008266462],"genre_scores_gemma":[0.5603267,0.0043581612,0.418231,0.00017267176,0.00007888921,0.00046071014,0.0006684627,0.00016663107,0.01553664],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999445,0.000037267364,0.000031900763,0.00015089626,0.00030440922,0.000030501496],"domain_scores_gemma":[0.9995938,0.00011371255,0.000061329745,0.00004675186,0.00016552038,0.000018846058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004571845,0.00047523985,0.00045405122,0.0012417855,0.00021975444,0.00066848414,0.00065781316,0.0006033674,0.0026460385],"category_scores_gemma":[0.0010073406,0.00025311124,0.0002929656,0.00092275237,0.00024648043,0.0007595793,0.00039161893,0.0005694906,0.0014379361],"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":[0.00002677607,0.00002426169,0.00044298248,0.000080873535,0.000006804194,0.000041125393,0.000039607236,0.00017802151,0.9588369,0.00031991047,0.00013345928,0.039869256],"study_design_scores_gemma":[0.0000060691036,0.00019693747,0.008150463,0.000021718011,0.000025636044,0.00046254386,0.000076971046,0.00552373,0.9800889,0.0005385653,0.0048906184,0.00001793007],"about_ca_topic_score_codex":0.00022763794,"about_ca_topic_score_gemma":0.0005087502,"teacher_disagreement_score":0.0026460385,"about_ca_system_score_codex":0.00024105092,"about_ca_system_score_gemma":0.0002552258,"threshold_uncertainty_score":0.008851826},"labels":[],"label_agreement":null},{"id":"W3034952792","doi":"10.1002/cjce.23826","title":"Applicability of electrical resistance tomography to the analysis of fluid distribution in haemodialysis modules","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bundle; Work (physics); Tomography; Materials science; Electrical resistance and conductance; Fluid dynamics; Flow (mathematics); Mass transfer; Computational fluid dynamics; Biomedical engineering; Biological system; Computer science; Mechanics; Mechanical engineering; Geometry; Mathematics; Engineering; Composite material; Physics; Optics","score_opus":0.0053573606461777635,"score_gpt":0.17150545143966067,"score_spread":0.16614809079348292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034952792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62860644,0.0009165129,0.3663121,0.00018823233,0.000033033546,0.00008669962,0.00021707093,0.0008324581,0.002807402],"genre_scores_gemma":[0.9588243,0.00034152713,0.04023636,0.000028227227,0.0000070211813,0.00003152072,0.00004650759,0.00003429546,0.00045018902],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998147,0.000067138266,0.000008406056,0.00003943954,0.000054301712,0.000015910688],"domain_scores_gemma":[0.9996043,0.00020241375,0.000060170198,0.000034032917,0.00008391364,0.000015197313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004306322,0.00037241558,0.0002600845,0.000557185,0.00014662535,0.0005012999,0.0002753634,0.00046038642,0.0005992939],"category_scores_gemma":[0.0014192936,0.00016339021,0.00016737402,0.00044528255,0.00036960762,0.00059632736,0.00032688238,0.00023433079,0.00016332402],"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":[0.000385324,0.00009197238,0.0166302,0.00031327608,0.000047437923,0.00052489643,0.00027185807,0.071472056,0.8445805,0.0012208708,0.00042950964,0.06403213],"study_design_scores_gemma":[0.000023497436,0.00037472832,0.021028686,0.00006330909,0.000046065936,0.0008425504,0.00030504807,0.4711746,0.5014002,0.0011680776,0.003503939,0.000069375106],"about_ca_topic_score_codex":0.0005409505,"about_ca_topic_score_gemma":0.0004292586,"teacher_disagreement_score":0.0005992939,"about_ca_system_score_codex":0.00019574784,"about_ca_system_score_gemma":0.00023487254,"threshold_uncertainty_score":0.0022774339},"labels":[],"label_agreement":null},{"id":"W3045610848","doi":"10.1080/17415977.2020.1797003","title":"Colour level set regularization for the electromagnetic imaging of highly discontinuous parameters in 3D","year":2020,"lang":"en","type":"article","venue":"Inverse Problems in Science and Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Prioris.ai (Canada)","funders":"","keywords":"Regularization (linguistics); Shielded cable; Voxel; Computer science; Electromagnetic field; Iterative reconstruction; Focus (optics); Algorithm; Inverse problem; Mathematics; Artificial intelligence; Physics; Mathematical analysis; Optics; Telecommunications","score_opus":0.019079102740538617,"score_gpt":0.20366127624948574,"score_spread":0.18458217350894712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045610848","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035330767,0.00006587877,0.9958372,0.00008771485,0.00000855157,0.000011776062,0.000013560875,0.00007863862,0.0003636971],"genre_scores_gemma":[0.11548453,0.00028883267,0.88222516,0.00012787034,0.000023052744,0.00007648197,0.00010301514,0.00016664018,0.0015043671],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962723,0.0001434223,0.000015891601,0.00003373656,0.00015899462,0.000020738142],"domain_scores_gemma":[0.99920505,0.00041298964,0.00009341696,0.0001337506,0.000104525105,0.00005022459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012648556,0.00050329696,0.0005417061,0.0005921174,0.00025464853,0.00088470953,0.0009712564,0.001179061,0.00091877725],"category_scores_gemma":[0.0024713015,0.0004191785,0.0008379563,0.0004982767,0.0009272193,0.00093568704,0.0009648684,0.0014475763,0.00046105834],"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":[0.00015201699,0.00007048739,0.00078719953,0.0003121838,0.000087639106,0.00018568742,0.00026238043,0.7220075,0.08239048,0.10636618,0.0015134645,0.08586482],"study_design_scores_gemma":[0.000004597671,0.00001367724,0.00006767513,0.0000069307257,0.0000035166142,0.000044791956,0.0000054467323,0.98874205,0.0045023356,0.005674478,0.0009229858,0.000011591073],"about_ca_topic_score_codex":0.0011725097,"about_ca_topic_score_gemma":0.0012489508,"teacher_disagreement_score":0.0012648556,"about_ca_system_score_codex":0.000748275,"about_ca_system_score_gemma":0.0009587996,"threshold_uncertainty_score":0.0066892505},"labels":[],"label_agreement":null},{"id":"W3047256625","doi":"10.1021/acs.analchem.0c02405","title":"Assessing Accuracy of an Analytical Method <i>In Silico</i> : Application to “Accurate Constant via Transient Incomplete Separation” (ACTIS)","year":2020,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sciex (Canada); York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Transient (computer programming); Separation (statistics); Constant (computer programming); In silico; Separation method; Chromatography; Statistics","score_opus":0.023676868753537965,"score_gpt":0.3302927319937368,"score_spread":0.30661586324019885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047256625","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050940305,0.0021226578,0.93984264,0.00086602534,0.0004611687,0.00019849047,0.0003166652,0.0027353922,0.0025167074],"genre_scores_gemma":[0.4522598,0.0023011325,0.5404512,0.00085190835,0.0001392474,0.00050208793,0.000755997,0.00090998184,0.0018285746],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9897022,0.0021654747,0.00090925634,0.0020848475,0.004675654,0.0004625207],"domain_scores_gemma":[0.97465557,0.014435733,0.002504815,0.0047912155,0.0032882781,0.00032449837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015747033,0.001402644,0.0015056925,0.0015167262,0.0010243932,0.0036073788,0.003028091,0.0029750199,0.0014315117],"category_scores_gemma":[0.03748023,0.0009938726,0.0015198396,0.0011345618,0.0028070027,0.0022658394,0.0026343702,0.0032236392,0.001107485],"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":[0.00057607074,0.0003142613,0.011053984,0.0023433734,0.0004835211,0.00047344004,0.0008230545,0.0756316,0.7509115,0.036257423,0.0033410045,0.11779081],"study_design_scores_gemma":[0.00003723475,0.00059045496,0.0021037895,0.00015154958,0.00014760473,0.00047097536,0.00013688138,0.19345541,0.7806441,0.009102783,0.012962877,0.00019636525],"about_ca_topic_score_codex":0.0017956481,"about_ca_topic_score_gemma":0.0010949721,"teacher_disagreement_score":0.015747033,"about_ca_system_score_codex":0.002017197,"about_ca_system_score_gemma":0.002087117,"threshold_uncertainty_score":0.08327925},"labels":[],"label_agreement":null},{"id":"W3082746943","doi":"10.1109/embc44109.2020.9176681","title":"The Effect of Internal Electrodes on Electrical Impedance Tomography Sensitivity","year":2020,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Electrode; Sensitivity (control systems); Electrical impedance; Materials science; Tomography; Internal resistance; Electrical resistivity tomography; Output impedance; Biomedical engineering; Acoustics; Electrical resistivity and conductivity; Electronic engineering; Optics; Electrical engineering; Physics; Medicine; Engineering","score_opus":0.003126596190109067,"score_gpt":0.1907118739389446,"score_spread":0.18758527774883552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082746943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81060034,0.0019070153,0.17649896,0.00068668136,0.00016878576,0.00007078479,0.00033240864,0.0011285037,0.0086064115],"genre_scores_gemma":[0.99172676,0.00022324256,0.00686701,0.000105893116,0.000009698898,0.0000120706345,0.000072560826,0.00011062939,0.0008720742],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99870324,0.00046466046,0.00008899777,0.00021395723,0.0003906767,0.00013846616],"domain_scores_gemma":[0.98620635,0.011177638,0.00055705826,0.0007523619,0.0011489191,0.00015764595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012615336,0.0007034845,0.0006023992,0.0005627576,0.00031442236,0.0011268691,0.00042590225,0.00094169274,0.0015867429],"category_scores_gemma":[0.015386739,0.000503673,0.0005879976,0.00036876695,0.00077408017,0.0009422689,0.0007915488,0.00056632864,0.00039805725],"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":[0.002310264,0.00012423903,0.032650176,0.00065801776,0.00030141135,0.0019033604,0.0010454495,0.42791134,0.45866376,0.0026991079,0.0010148584,0.07071798],"study_design_scores_gemma":[0.00007146456,0.0014532552,0.033413935,0.00018286431,0.00038170995,0.0023726306,0.00033544493,0.27972764,0.67598736,0.0020549588,0.0038582215,0.00016043332],"about_ca_topic_score_codex":0.0009936085,"about_ca_topic_score_gemma":0.0007074256,"teacher_disagreement_score":0.0015867429,"about_ca_system_score_codex":0.00050513895,"about_ca_system_score_gemma":0.00023720248,"threshold_uncertainty_score":0.0066717267},"labels":[],"label_agreement":null},{"id":"W3104649846","doi":"10.46532/jmic.20200902","title":"An Evaluation of Wearable Technological Advancement in Medical Practices","year":2020,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Wearable computer; Wearable technology; Obligation; Health technology; Health care; Process (computing); Medicine; Nursing; Computer science; Political science","score_opus":0.04126226216104284,"score_gpt":0.31858703094218166,"score_spread":0.2773247687811388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3104649846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9587503,0.0028374025,0.0033283574,0.0010335287,0.00016729783,0.0013011742,0.00037459412,0.000052942967,0.032154284],"genre_scores_gemma":[0.9885931,0.001985867,0.0057512536,0.00024559503,0.00008342621,0.0008796128,0.00021062927,0.0000152391285,0.0022352654],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9589455,0.022592759,0.0041864985,0.0012441362,0.012075141,0.0009559718],"domain_scores_gemma":[0.8905507,0.07027057,0.014353669,0.0033096487,0.01809259,0.0034229604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019502249,0.0002809552,0.0003802882,0.0034817364,0.0009218482,0.0025107027,0.00048015144,0.0008148394,0.0038117573],"category_scores_gemma":[0.0815411,0.00021078295,0.00082631514,0.002857856,0.0011843848,0.001807862,0.0023907379,0.0007107933,0.00049856317],"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":[0.002098694,0.0026671176,0.31396487,0.0045098104,0.00038225652,0.0004972775,0.06448074,0.00047467838,0.0034005474,0.0037360603,0.003500812,0.6002871],"study_design_scores_gemma":[0.00015601912,0.012258835,0.8476274,0.0024209856,0.00036289095,0.00088934955,0.08845629,0.00097426435,0.0030879786,0.001209212,0.042455606,0.00010124482],"about_ca_topic_score_codex":0.0005168989,"about_ca_topic_score_gemma":0.0008906896,"teacher_disagreement_score":0.019502249,"about_ca_system_score_codex":0.0018780581,"about_ca_system_score_gemma":0.0016091411,"threshold_uncertainty_score":0.10313898},"labels":[],"label_agreement":null},{"id":"W3107059540","doi":"10.1016/j.expthermflusci.2020.110299","title":"Design and validation of a capacitance-based sensor for slurry density measurement","year":2020,"lang":"en","type":"article","venue":"Experimental Thermal and Fluid Science","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture; Institut national de la recherche scientifique","keywords":"Capacitance probe; Capacitance; Slurry; Calibration; Materials science; Volume fraction; Volume (thermodynamics); Flow (mathematics); Flow measurement; Mechanics; Analytical Chemistry (journal); Composite material; Thermodynamics; Physics; Chromatography; Electrode; Chemistry","score_opus":0.04285154834777366,"score_gpt":0.22857552309965962,"score_spread":0.18572397475188596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107059540","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14343764,0.0010481376,0.8438533,0.0012980645,0.0005981823,0.0015150997,0.0008689373,0.0031716947,0.0042089657],"genre_scores_gemma":[0.7270056,0.00047251032,0.26474994,0.0007021133,0.00014370747,0.0007167271,0.00052110146,0.00012882,0.0055594603],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9963232,0.00041269316,0.00015861365,0.0007556317,0.0021786,0.00017126263],"domain_scores_gemma":[0.99715877,0.0005109397,0.0003188133,0.00030417927,0.0015346936,0.00017258989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021634467,0.0009833777,0.0010270972,0.0011161971,0.0008611624,0.0015464709,0.004452812,0.0026250875,0.0015887241],"category_scores_gemma":[0.0030636964,0.0006570359,0.00049599126,0.0006718315,0.00088279514,0.001381503,0.0010407884,0.0008064009,0.0011834595],"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":[0.00025368636,0.0003076856,0.0026939502,0.00045146895,0.00007260428,0.00019031712,0.00014161036,0.0029398398,0.95180136,0.0014922087,0.001762873,0.037892297],"study_design_scores_gemma":[0.00010386616,0.0014910875,0.0036718952,0.000030067551,0.0000855868,0.00075273414,0.00006353686,0.08579198,0.89428157,0.0003533617,0.013298907,0.00007533851],"about_ca_topic_score_codex":0.0020803777,"about_ca_topic_score_gemma":0.0029879524,"teacher_disagreement_score":0.004452812,"about_ca_system_score_codex":0.0013242945,"about_ca_system_score_gemma":0.0024271058,"threshold_uncertainty_score":0.011441529},"labels":[],"label_agreement":null},{"id":"W3111298879","doi":"10.21037/qims-20-682","title":"Lung regions identified with CT improve the value of global inhomogeneity index measured with electrical impedance tomography","year":2021,"lang":"en","type":"article","venue":"Quantitative Imaging in Medicine and Surgery","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":25,"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":"Natural Science Basic Research Program of Shaanxi Province; Fourth Military Medical University; Bundesministerium für Bildung und Forschung; Horizon 2020 Framework Programme; National Natural Science Foundation of China","keywords":"Electrical impedance tomography; Lung; Medicine; Nuclear medicine; Interquartile range; Ventilation (architecture); Tomography; Thorax (insect anatomy); Reproducibility; Radiology; Anatomy; Mathematics; Internal medicine; Physics; Statistics","score_opus":0.014651898784089611,"score_gpt":0.25955801401906664,"score_spread":0.24490611523497702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111298879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95069104,0.0012261238,0.046119813,0.00014681008,0.000027389768,0.00006978525,0.00016575569,0.00024486147,0.0013083369],"genre_scores_gemma":[0.9880827,0.00011333446,0.011492003,0.000031965286,0.000024629328,0.000019055882,0.0001131553,0.000026451473,0.00009669865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994425,0.0002185495,0.00006295797,0.0001163121,0.00012172919,0.00003791075],"domain_scores_gemma":[0.9975617,0.0013183813,0.00049930165,0.00019793939,0.0003081815,0.000114460345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010989608,0.00064886874,0.0003863449,0.0012069794,0.00015934798,0.00088177255,0.00036441267,0.00076175656,0.00092734693],"category_scores_gemma":[0.0066569736,0.00018262467,0.00032876505,0.00039112067,0.00044771002,0.0008706892,0.0006497357,0.00041636784,0.00034463036],"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":[0.0023863274,0.00017108656,0.74677145,0.0002986094,0.0003145119,0.000801091,0.0002966809,0.014932572,0.09664864,0.00044598343,0.00075903453,0.13617402],"study_design_scores_gemma":[0.0000825963,0.00090873573,0.85603154,0.000078297315,0.00033858052,0.004122889,0.00029741786,0.091949075,0.043360673,0.0010941506,0.0016642265,0.00007184288],"about_ca_topic_score_codex":0.00040272434,"about_ca_topic_score_gemma":0.00064569205,"teacher_disagreement_score":0.0012069794,"about_ca_system_score_codex":0.00025926452,"about_ca_system_score_gemma":0.00019880458,"threshold_uncertainty_score":0.0058119297},"labels":[],"label_agreement":null},{"id":"W3112714362","doi":"10.1109/smc42975.2020.9283266","title":"Tissue Discrimination from Impedance Spectroscopy as a Multi-objective Optimisation Problem with Weighted Naïve Bayes Classification","year":2020,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Electrical impedance; Dielectric spectroscopy; Naive Bayes classifier; Computer science; Artificial intelligence; Sorting; Pattern recognition (psychology); Bayes' theorem; Genetic algorithm; Mathematics; Biological system; Algorithm; Bayesian probability; Machine learning; Engineering; Chemistry; Support vector machine","score_opus":0.0138469594512281,"score_gpt":0.23304225810645585,"score_spread":0.21919529865522774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112714362","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02827406,0.00032273424,0.9690722,0.00042327688,0.000051022842,0.00010966268,0.000053210668,0.00031122088,0.001382586],"genre_scores_gemma":[0.4471977,0.00021548333,0.5470359,0.00056385394,0.0001570708,0.00043075118,0.0003150887,0.000118591306,0.0039655813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99801683,0.0008232059,0.00015542017,0.00036662025,0.00045769135,0.0001802871],"domain_scores_gemma":[0.99717605,0.0020343317,0.00020094732,0.0000871618,0.00043861096,0.00006291053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037274323,0.0013478763,0.0018750678,0.0015601952,0.0006340632,0.0017627791,0.0018384255,0.003300312,0.001960983],"category_scores_gemma":[0.006786312,0.00082292844,0.0013164155,0.0010877795,0.0011005888,0.0012926382,0.0009998236,0.0016263949,0.00053768186],"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":[0.00022987895,0.000117746735,0.001532367,0.00014033535,0.00008322035,0.00010122727,0.000111667425,0.8399387,0.0024799665,0.0035679229,0.0013807951,0.15031628],"study_design_scores_gemma":[0.000013874894,0.000033147197,0.00012154681,0.000011414678,0.00000780844,0.000014906812,0.000011828808,0.99621165,0.00033576813,0.0030714006,0.00016043491,0.0000063060506],"about_ca_topic_score_codex":0.0069250558,"about_ca_topic_score_gemma":0.005487265,"teacher_disagreement_score":0.0069250558,"about_ca_system_score_codex":0.0013125176,"about_ca_system_score_gemma":0.0012839137,"threshold_uncertainty_score":0.019712806},"labels":[],"label_agreement":null},{"id":"W3112913466","doi":"10.1109/smc42975.2020.9282957","title":"Electrical Impedance Tomography using Differential Evolution integrated with a Modified Newton Raphson Algorithm","year":2020,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance tomography; Newton's method; Inverse problem; Algorithm; Differential evolution; Computer science; Mathematical optimization; Estimation theory; Distribution (mathematics); Mathematics; Electrical impedance; Nonlinear system; Engineering","score_opus":0.009989433867212735,"score_gpt":0.1903132192677672,"score_spread":0.18032378540055446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112913466","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003353606,0.00015342186,0.9949498,0.00006029641,0.000017512099,0.000023467703,0.000010496076,0.00013828426,0.0012931215],"genre_scores_gemma":[0.162278,0.00039091575,0.83304876,0.00007977933,0.000029685874,0.0001852344,0.00007942427,0.00008252008,0.0038256624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972004,0.0000751484,0.000016556978,0.00004262982,0.00013189294,0.000013684991],"domain_scores_gemma":[0.9996947,0.0001503276,0.000041595642,0.000022798618,0.000077930796,0.000012637991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048351756,0.00056598865,0.0006683058,0.00050696736,0.00024991998,0.0007041996,0.0007950292,0.0009391933,0.0010614193],"category_scores_gemma":[0.0011601262,0.0003605292,0.000650672,0.0006329921,0.0003909231,0.00069061853,0.00064032007,0.00071855175,0.00028624022],"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":[0.00006818659,0.00004271303,0.0007558044,0.00012218358,0.0000633868,0.0001344967,0.000107884945,0.8555061,0.013995023,0.014954093,0.00094198197,0.11330807],"study_design_scores_gemma":[0.0000051376587,0.000011662302,0.000069615715,0.0000036781887,0.00000417234,0.00002756409,0.0000025234995,0.9972383,0.0008557491,0.00075683696,0.0010205598,0.0000043169043],"about_ca_topic_score_codex":0.0028650302,"about_ca_topic_score_gemma":0.0027313395,"teacher_disagreement_score":0.0028650302,"about_ca_system_score_codex":0.0005975395,"about_ca_system_score_gemma":0.00068108377,"threshold_uncertainty_score":0.0056966543},"labels":[],"label_agreement":null},{"id":"W3118265317","doi":"10.1002/cjce.24028","title":"Calibration of solids concentration optical fibre probes with solids‐polymer blocks","year":2021,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Calibration; Materials science; Polymer; Calibration curve; Extrusion; Plastics extrusion; Suspended solids; Polypropylene; Composite material; Analytical Chemistry (journal); Optics; Chemistry; Chromatography; Environmental science","score_opus":0.004174976078171628,"score_gpt":0.16388424111474642,"score_spread":0.1597092650365748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118265317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8961516,0.00089188974,0.100793205,0.0000886272,0.00009544414,0.0001337413,0.00014056018,0.00048623784,0.0012187014],"genre_scores_gemma":[0.9363178,0.000411412,0.06159905,0.0000620424,0.000020575035,0.00012341938,0.000088502966,0.0000472926,0.0013299808],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99772614,0.0005166721,0.000119223034,0.0006343278,0.0008902099,0.00011345723],"domain_scores_gemma":[0.99812335,0.0006584278,0.0005234362,0.00026660212,0.0003850657,0.000043152446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013307895,0.0008793988,0.00029368626,0.0005858118,0.00027925326,0.00037587783,0.00080172904,0.0010458879,0.00074930215],"category_scores_gemma":[0.0026552938,0.00048414044,0.00035648668,0.0005979466,0.0006434056,0.00060055236,0.000642994,0.00053962617,0.00033561798],"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":[0.000058248104,0.000017071832,0.0010079959,0.000043539527,0.000011294872,0.0000150121705,0.00006468664,0.00041504542,0.9950192,0.00009301844,0.000021700975,0.0032332325],"study_design_scores_gemma":[0.0000047743147,0.00015540677,0.0020449979,0.000005085305,0.000014541831,0.00004194061,0.000025938158,0.00354465,0.9935948,0.000030159836,0.0005270733,0.000010639792],"about_ca_topic_score_codex":0.0006768471,"about_ca_topic_score_gemma":0.0009858726,"teacher_disagreement_score":0.0013307895,"about_ca_system_score_codex":0.00064427726,"about_ca_system_score_gemma":0.00024934756,"threshold_uncertainty_score":0.0070379972},"labels":[],"label_agreement":null},{"id":"W3122718196","doi":"10.1007/s10877-021-00651-x","title":"Effects of PEEP on the relationship between tidal volume and total impedance change measured via electrical impedance tomography (EIT)","year":2021,"lang":"en","type":"article","venue":"Journal of Clinical Monitoring and Computing","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Murdoch University","keywords":"Electrical impedance tomography; Tidal volume; Medicine; Anesthesia; Ventilation (architecture); Spirometer; Xylazine; Nuclear medicine; Dead space; Positive end-expiratory pressure; Lung volumes; Ketamine; Tomography; Mechanical ventilation; Lung; Internal medicine; Respiratory system; Radiology; Airway; Physics","score_opus":0.05181204063728778,"score_gpt":0.31088626287942084,"score_spread":0.25907422224213306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122718196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966266,0.00071345875,0.0009597195,0.0001595502,0.00010546419,0.000046487672,0.0002671759,0.000034602162,0.0010867943],"genre_scores_gemma":[0.9981767,0.00027817202,0.0005305063,0.00012568977,0.0000568083,0.000041490122,0.00012435239,0.000029355431,0.0006370346],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994143,0.00020718772,0.000055100903,0.000095237614,0.0001268654,0.00010130848],"domain_scores_gemma":[0.985516,0.012885195,0.0003678895,0.0005170953,0.00036081034,0.00035308502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010451335,0.0003938875,0.0006277275,0.0001713791,0.00020796477,0.0008240462,0.00054124004,0.00063742534,0.0024241726],"category_scores_gemma":[0.01196616,0.00028059783,0.0003432056,0.00022144361,0.0010727966,0.0009265088,0.00050209183,0.0013695172,0.00028646135],"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":[0.32830364,0.0035634423,0.029680913,0.00076844345,0.00080000027,0.0028565668,0.002185285,0.007160304,0.51974374,0.0008615245,0.0013844619,0.10269169],"study_design_scores_gemma":[0.003394107,0.053976126,0.48126474,0.00018706698,0.0019001893,0.001998896,0.0012130956,0.041266434,0.4082994,0.001026619,0.0053177597,0.00015553158],"about_ca_topic_score_codex":0.0018199147,"about_ca_topic_score_gemma":0.0013371443,"teacher_disagreement_score":0.0024241726,"about_ca_system_score_codex":0.00024060914,"about_ca_system_score_gemma":0.0005504529,"threshold_uncertainty_score":0.008109689},"labels":[],"label_agreement":null},{"id":"W3128839150","doi":"10.1164/rccm.202007-2997oc","title":"Imaging the Respiratory Transition at Birth: Unraveling the Complexities of the First Breaths of Life","year":2021,"lang":"en","type":"article","venue":"American Journal of Respiratory and Critical Care Medicine","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":66,"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":"National Health and Medical Research Council; Medical Research Council; State Government of Victoria; European Commission","keywords":"Medicine; Tidal volume; Ventilation (architecture); Lung volumes; Anesthesia; Interquartile range; Intensive care; Respiratory physiology; Lung; Mechanical ventilation; Respiratory system; Internal medicine; Intensive care medicine","score_opus":0.013280863250044725,"score_gpt":0.24355567958222227,"score_spread":0.23027481633217756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128839150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9828204,0.0068928846,0.008437791,0.0005835027,0.000039199163,0.000023609176,0.00018431395,0.000028627843,0.0009895144],"genre_scores_gemma":[0.9916055,0.0023955018,0.005528959,0.000084025254,0.00007821684,0.000025511135,0.00008933069,0.000009722993,0.00018312276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996729,0.00014010472,0.00003284545,0.0000501142,0.00006624784,0.000037763337],"domain_scores_gemma":[0.9985977,0.00055409875,0.00045414738,0.00011297541,0.00013653192,0.00014451829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010095859,0.00024281301,0.00029396894,0.0008913663,0.00016391076,0.0009286936,0.00040218222,0.00044416418,0.0005321623],"category_scores_gemma":[0.0034095838,0.00017246859,0.0001840987,0.00033467717,0.000744612,0.0009204482,0.00063532265,0.00048405226,0.00010228405],"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":[0.00038961612,0.000064532884,0.916831,0.0003034044,0.00006309133,0.0015207765,0.0007532642,0.0005086855,0.020703629,0.0006659367,0.00050883414,0.057687175],"study_design_scores_gemma":[0.000009070224,0.00050979014,0.9801807,0.00026066776,0.000043550444,0.006140365,0.0018471875,0.0029742818,0.0049541728,0.0012061205,0.0018437062,0.000030309344],"about_ca_topic_score_codex":0.0010840673,"about_ca_topic_score_gemma":0.0015498785,"teacher_disagreement_score":0.0010840673,"about_ca_system_score_codex":0.00023958563,"about_ca_system_score_gemma":0.00042339248,"threshold_uncertainty_score":0.005339265},"labels":[],"label_agreement":null},{"id":"W3131484092","doi":"10.1002/cjce.24091","title":"Experiments and simulation of liquid drainage in oscillating packed beds under roll and heave motions","year":2021,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Slosh dynamics; Mechanics; Drainage; Acceleration; Geotechnical engineering; Geology; Amplitude; Submarine pipeline; Oscillation (cell signaling); Saturation (graph theory); Porous medium; Porosity; Physics; Chemistry; Classical mechanics","score_opus":0.009172794501472495,"score_gpt":0.20659017345979808,"score_spread":0.1974173789583256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131484092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987533,0.000005882876,0.0009075505,0.000008697213,0.000001734134,0.0000056903086,0.000024630226,0.000019077068,0.0002734375],"genre_scores_gemma":[0.99925965,0.000006527502,0.00058988336,0.0000018380192,3.188879e-7,0.000005069767,0.000012850969,0.0000019063534,0.00012183396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999517,0.0000070974525,0.0000032162952,0.000008777986,0.00001344119,0.000015733418],"domain_scores_gemma":[0.99975234,0.00014367462,0.000029586625,0.000021425747,0.000028568355,0.000024407163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001487003,0.00014515662,0.00020394202,0.00014748702,0.00021440108,0.00028172528,0.00023513603,0.00030853038,0.0007569867],"category_scores_gemma":[0.00042961148,0.000116652736,0.00016771542,0.00014730277,0.00039483584,0.00017217448,0.00022011512,0.00023310719,0.00004985359],"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":[0.0010451342,0.00034752456,0.015413054,0.000117234646,0.000027540686,0.00064414245,0.00029699496,0.75614035,0.21582821,0.0007525533,0.00013658256,0.0092506865],"study_design_scores_gemma":[0.00005156876,0.00047641827,0.006120874,0.0000048265374,0.000009937849,0.000022039001,0.000096571726,0.95357305,0.039404333,0.00011098347,0.00011797746,0.000011476966],"about_ca_topic_score_codex":0.003443755,"about_ca_topic_score_gemma":0.0024461022,"teacher_disagreement_score":0.003443755,"about_ca_system_score_codex":0.00022889917,"about_ca_system_score_gemma":0.00022669682,"threshold_uncertainty_score":0.0068473816},"labels":[],"label_agreement":null},{"id":"W3135320347","doi":"10.32393/csme.2020.1171","title":"Error of Displacement Measurements using Digital Volume Correlation and High Resolution Peripheral Quantitative Computed Tomography","year":2020,"lang":"en","type":"article","venue":"Progress in Canadian Mechanical Engineering. Volume 3","topic":"Electrical and Bioimpedance Tomography","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 Saskatchewan","funders":"","keywords":"Displacement (psychology); Peripheral; Computed tomography; Resolution (logic); Volume (thermodynamics); Tomography; Quantitative computed tomography; Computer science; Optics; Physics; Artificial intelligence; Medicine; Radiology","score_opus":0.021147594766670528,"score_gpt":0.22564298633695234,"score_spread":0.20449539157028182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135320347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54589605,0.0022213233,0.44778028,0.00010321033,0.000121393416,0.00013321961,0.00046220914,0.0011412549,0.0021410729],"genre_scores_gemma":[0.8996101,0.00028509498,0.099012464,0.000042599735,0.000020782492,0.000055417753,0.0002882818,0.00010574652,0.0005795031],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99522036,0.001246175,0.00033271496,0.00090819655,0.002182384,0.00011025353],"domain_scores_gemma":[0.9841133,0.008850058,0.0023939917,0.0013520926,0.0031644586,0.00012618005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034625514,0.00069698616,0.0004886183,0.002186503,0.00025748005,0.0008981186,0.00095931947,0.0007813929,0.000790642],"category_scores_gemma":[0.01933472,0.00030135614,0.0002485671,0.0019493956,0.0006948933,0.000658516,0.0010288542,0.00039692354,0.00026246445],"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":[0.002861933,0.00033338735,0.2556869,0.0014136985,0.00048048448,0.00051937107,0.0010935802,0.10256602,0.118862905,0.0026498546,0.0013478033,0.5121841],"study_design_scores_gemma":[0.00009410195,0.0010820208,0.2488183,0.00023393257,0.00028361913,0.0035138829,0.00034535525,0.58868927,0.15160184,0.0017757337,0.0033209038,0.00024102922],"about_ca_topic_score_codex":0.0039376863,"about_ca_topic_score_gemma":0.0038836184,"teacher_disagreement_score":0.0039376863,"about_ca_system_score_codex":0.00073083024,"about_ca_system_score_gemma":0.0006414121,"threshold_uncertainty_score":0.018311977},"labels":[],"label_agreement":null},{"id":"W3138391560","doi":"10.3390/app11093804","title":"Numerical Simulation and Experimental Study of Capacitive Imaging Technique as a Nondestructive Testing Method","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of New Brunswick; Université Laval","funders":"","keywords":"Capacitive sensing; Materials science; Finite element method; Sample (material); Dielectric; Acoustics; Electronic engineering; Computer science; Optoelectronics; Electrical engineering; Engineering; Structural engineering","score_opus":0.020297608127947838,"score_gpt":0.30845318150870843,"score_spread":0.2881555733807606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138391560","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46194384,0.00061342283,0.50607204,0.00055676466,0.00011364012,0.00026646547,0.0004318997,0.00079525576,0.02920665],"genre_scores_gemma":[0.9047181,0.00024426103,0.092763685,0.000042449075,0.000010207403,0.00016832862,0.000117574644,0.00003582577,0.0018995912],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997085,0.00005249331,0.000012993191,0.00004484671,0.00015700822,0.000024181776],"domain_scores_gemma":[0.9991404,0.000466007,0.000082049584,0.00009058749,0.00020085565,0.000020139914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061558513,0.00040551674,0.0003039093,0.00042388737,0.00025112956,0.00038870497,0.00071038026,0.00083724153,0.001981105],"category_scores_gemma":[0.0017749049,0.00016679682,0.00025923806,0.0004973618,0.0005106447,0.0005200655,0.000244674,0.00030487534,0.00020746529],"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":[0.00015930935,0.00018215747,0.0032370535,0.0002654524,0.000014281018,0.00022552816,0.00018461536,0.88441,0.07614108,0.009621447,0.00053558644,0.025023444],"study_design_scores_gemma":[0.000008370115,0.000056550645,0.0003424667,0.0000075274834,0.000003263654,0.000030374204,0.000014896503,0.9906821,0.007963072,0.00036138916,0.0005222307,0.00000774476],"about_ca_topic_score_codex":0.0022370461,"about_ca_topic_score_gemma":0.00087527925,"teacher_disagreement_score":0.0022370461,"about_ca_system_score_codex":0.00035064077,"about_ca_system_score_gemma":0.00032599975,"threshold_uncertainty_score":0.0066275},"labels":[],"label_agreement":null},{"id":"W3146084458","doi":"10.18280/ts.380111","title":"Design and Optimization of a Finite Element Model for Electrical Resistance Tomography of Human Lungs","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Huainan Normal University","keywords":"Finite element method; Hessian matrix; Sensitivity (control systems); Particle swarm optimization; Matrix (chemical analysis); Tomography; Boundary (topology); Computer science; Mathematics; Mathematical optimization; Algorithm; Mathematical analysis; Physics; Electronic engineering; Engineering; Applied mathematics; Materials science; Structural engineering","score_opus":0.01525444406984669,"score_gpt":0.21930203711354854,"score_spread":0.20404759304370185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3146084458","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005921243,0.00010421651,0.9924231,0.00007354763,0.000013716447,0.0000337362,0.000024821198,0.00013205725,0.0012735005],"genre_scores_gemma":[0.4439964,0.0006706737,0.5490079,0.00014109969,0.000026174203,0.0006693108,0.000278172,0.00016559844,0.005044686],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968886,0.0000851955,0.000018604815,0.00006525117,0.00011960851,0.000022454491],"domain_scores_gemma":[0.99976057,0.00010671399,0.00003447417,0.000022794795,0.00006233792,0.000013204081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005224237,0.0005777514,0.0005991691,0.0004970903,0.00027993994,0.0005853555,0.00096198794,0.0012689807,0.0014429126],"category_scores_gemma":[0.0008898799,0.00052123074,0.00075314107,0.00032447884,0.00047386764,0.0005996153,0.0005537418,0.0005730857,0.0004645778],"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":[0.000026986796,0.000021961378,0.00048807764,0.00007624745,0.000015197601,0.000055822406,0.000045611654,0.97052705,0.012079416,0.0025055115,0.00023324376,0.0139248995],"study_design_scores_gemma":[0.000004393078,0.000016631247,0.00008597297,0.0000066502807,0.000005086737,0.000021798965,0.000008328603,0.99738973,0.001425134,0.00030161903,0.00073017675,0.0000045819443],"about_ca_topic_score_codex":0.0024994726,"about_ca_topic_score_gemma":0.0020005961,"teacher_disagreement_score":0.0024994726,"about_ca_system_score_codex":0.000421546,"about_ca_system_score_gemma":0.0009260124,"threshold_uncertainty_score":0.0049698353},"labels":[],"label_agreement":null},{"id":"W3156184767","doi":"10.1016/j.ifacol.2020.12.185","title":"Sparsity Constrained Reconstruction for Electrical Impedance Tomography","year":2020,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Electrical impedance tomography; Tomography; Iterative reconstruction; Outlier; Electrical impedance; Reconstruction algorithm; Computer science; Algorithm; Materials science; Physics; Computer vision; Artificial intelligence; Optics","score_opus":0.013427488237320423,"score_gpt":0.2035393404504615,"score_spread":0.19011185221314106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156184767","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002920608,0.00015833281,0.99625564,0.00015343157,0.000011146306,0.0000094044535,0.00004845869,0.00005795676,0.00038502956],"genre_scores_gemma":[0.22702196,0.0016746855,0.76636475,0.0002654253,0.00015287357,0.00018966403,0.00074098085,0.00015577253,0.0034338348],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996779,0.00013717402,0.000016576787,0.00005170289,0.00009710401,0.000019536586],"domain_scores_gemma":[0.998885,0.00075609353,0.000096281845,0.00007546783,0.00015142217,0.000035677218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008389022,0.00051179493,0.0006198694,0.00043542153,0.00017765297,0.00065116613,0.00044663434,0.0008786584,0.0010183122],"category_scores_gemma":[0.0033046722,0.00031128107,0.00049223466,0.00060953875,0.0006211394,0.00074436015,0.00081826455,0.001163582,0.00034845242],"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":[0.00028977214,0.000072219445,0.00086289126,0.00047625985,0.0000879742,0.0002534232,0.000156351,0.7330905,0.043889053,0.05083975,0.0040792353,0.1659026],"study_design_scores_gemma":[0.000007118399,0.000015414767,0.00013492236,0.000009457059,0.0000039481843,0.000063975414,0.000008982141,0.9897149,0.0025826565,0.006473572,0.000977413,0.000007622593],"about_ca_topic_score_codex":0.0014569771,"about_ca_topic_score_gemma":0.001025354,"teacher_disagreement_score":0.0014569771,"about_ca_system_score_codex":0.00030510392,"about_ca_system_score_gemma":0.0004749756,"threshold_uncertainty_score":0.004436612},"labels":[],"label_agreement":null},{"id":"W3157015579","doi":"10.1088/1361-6501/abf679","title":"Capturing both carrier and disperse phases in dense suspensions using harmonic ultrasound imaging velocimetry","year":2021,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Suspension (topology); Velocimetry; Particle image velocimetry; Phase (matter); Harmonic; Ultrasound; Mechanics; Phase velocity; Vortex; Particle (ecology); Acoustics; Optics; Physics; Turbulence","score_opus":0.018093400950272714,"score_gpt":0.22689012245519502,"score_spread":0.20879672150492232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157015579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7608068,0.0020949636,0.2350466,0.00013714189,0.000058800222,0.00010559853,0.00009159785,0.00034399843,0.0013145636],"genre_scores_gemma":[0.9005677,0.0007674487,0.09705199,0.000067476285,0.000028991699,0.00007220526,0.00010090274,0.000029781062,0.0013134809],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980825,0.000031055897,0.0000113483575,0.00005460729,0.00007367209,0.000021136113],"domain_scores_gemma":[0.99964964,0.00015764534,0.0000878744,0.000028658633,0.0000529691,0.00002328562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039292275,0.00039467833,0.000240759,0.00061690656,0.00018992194,0.00047523555,0.0002453835,0.00043204628,0.00032162535],"category_scores_gemma":[0.00054593815,0.00021071403,0.00010579595,0.00021778786,0.0004275222,0.0005581176,0.00043838774,0.00045965123,0.0001378748],"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":[0.000020473215,0.00001277287,0.00023670286,0.000028949862,0.0000039511606,0.000020163421,0.000028309649,0.00042387037,0.99343127,0.00019854387,0.000028754092,0.0055662063],"study_design_scores_gemma":[0.000010091653,0.00018631844,0.0016293707,0.0000073873384,0.000014071574,0.00007618062,0.000043524054,0.017121725,0.9796165,0.00020764125,0.0010722689,0.000015028935],"about_ca_topic_score_codex":0.0008133802,"about_ca_topic_score_gemma":0.0013315559,"teacher_disagreement_score":0.0008133802,"about_ca_system_score_codex":0.00030293645,"about_ca_system_score_gemma":0.0002791372,"threshold_uncertainty_score":0.0021979809},"labels":[],"label_agreement":null},{"id":"W3159979306","doi":"10.1007/s00249-021-01545-1","title":"Extending the double-dispersion Cole–Cole, Cole–Davidson and Havriliak–Negami electrochemical impedance spectroscopy models","year":2021,"lang":"en","type":"article","venue":"European Biophysics Journal","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dielectric spectroscopy; Electrical impedance; Dispersion (optics); Materials science; Chemistry; Electrochemistry; Physics; Optics; Physical chemistry; Electrode","score_opus":0.009579010310636793,"score_gpt":0.200066229465449,"score_spread":0.1904872191548122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159979306","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009769669,0.0024141127,0.9739422,0.0008806792,0.00029462634,0.0001160299,0.000118641314,0.00014181682,0.012322165],"genre_scores_gemma":[0.6926932,0.011349672,0.23190016,0.0021025809,0.00082588027,0.00083305256,0.00046083517,0.0003709174,0.05946363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910504,0.00016785109,0.00006319877,0.00021085193,0.00037072744,0.00008223837],"domain_scores_gemma":[0.99894494,0.00040980836,0.000104993866,0.00018315847,0.00029883964,0.00005835301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014106418,0.0019157986,0.0016660342,0.0014654589,0.00079056516,0.0017026853,0.004990524,0.0032793884,0.002610279],"category_scores_gemma":[0.004450196,0.00069564936,0.0016126551,0.0011492748,0.0013480233,0.006038697,0.0016757078,0.0026039195,0.001787085],"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":[0.00014436508,0.0004765677,0.0013038673,0.0008964794,0.0002018076,0.0007671453,0.0011030134,0.19659162,0.043039344,0.68018985,0.00527735,0.07000864],"study_design_scores_gemma":[0.000012875916,0.000038031183,0.00034192568,0.000037243804,0.000025057518,0.0002593735,0.00004977051,0.8911461,0.0036749835,0.09722773,0.007124447,0.00006253006],"about_ca_topic_score_codex":0.0026614303,"about_ca_topic_score_gemma":0.0023041088,"teacher_disagreement_score":0.004990524,"about_ca_system_score_codex":0.0012076336,"about_ca_system_score_gemma":0.0011493613,"threshold_uncertainty_score":0.008762062},"labels":[],"label_agreement":null},{"id":"W3160212389","doi":"10.1111/jvim.16152","title":"Can bronchoconstriction and bronchodilatation in horses be detected using electrical impedance tomography?","year":2021,"lang":"en","type":"article","venue":"Journal of Veterinary Internal Medicine","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Bronchoconstriction; Electrical impedance tomography; Medicine; Bronchodilatation; Salbutamol; Asthma; Anesthesia; Nuclear medicine; Internal medicine; Tomography; Radiology","score_opus":0.021571055202701337,"score_gpt":0.2740159034709354,"score_spread":0.25244484826823405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160212389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993317,0.0018445111,0.003977628,0.00024504866,0.00002803949,0.000026683256,0.00012609069,0.000033328284,0.0004016665],"genre_scores_gemma":[0.99796367,0.00061517325,0.0010712938,0.00009387658,0.000034806497,0.000015598407,0.00007707833,0.000004041798,0.00012446321],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997067,0.00007129164,0.000024375437,0.000064896485,0.000076457705,0.00005611986],"domain_scores_gemma":[0.99948776,0.00015250019,0.00024781356,0.000018213099,0.000059660673,0.000034013567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054007076,0.00038917921,0.00047363798,0.00055752206,0.00009370675,0.0005423659,0.00021536648,0.0010462028,0.0005740317],"category_scores_gemma":[0.0018410402,0.00020722568,0.00028157464,0.0002685266,0.0005683467,0.0005636052,0.00017434008,0.00039288978,0.00022857291],"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":[0.0015325777,0.00015770855,0.6425697,0.00047442305,0.00017828365,0.0012662337,0.00019999011,0.0012421489,0.3101597,0.0001575827,0.0003622776,0.041699447],"study_design_scores_gemma":[0.000020687663,0.0018246911,0.952974,0.00007577581,0.000108461885,0.0023872699,0.00024042309,0.0049282713,0.036282558,0.00020222439,0.00093400176,0.000021593878],"about_ca_topic_score_codex":0.0006225841,"about_ca_topic_score_gemma":0.000987679,"teacher_disagreement_score":0.0010462028,"about_ca_system_score_codex":0.00026488004,"about_ca_system_score_gemma":0.0001295851,"threshold_uncertainty_score":0.0028562546},"labels":[],"label_agreement":null},{"id":"W3160482410","doi":"10.1016/j.tvjl.2021.105694","title":"The use of electrical impedance tomography (EIT) to evaluate pulse rate in anaesthetised horses","year":2021,"lang":"en","type":"article","venue":"The Veterinary Journal","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Medicine; Heart rate; Impedance cardiography; Blood pressure; Confidence interval; Nuclear medicine; Pulse (music); Anesthesia; Biomedical engineering; Cardiology; Tomography; Internal medicine; Radiology; Stroke volume; Physics","score_opus":0.0383662223298129,"score_gpt":0.26566635181094356,"score_spread":0.22730012948113065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160482410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825765,0.0043052165,0.01033036,0.00040427776,0.00006602395,0.000051414205,0.000071700044,0.000046817633,0.0021477726],"genre_scores_gemma":[0.9916715,0.0022609392,0.0055135665,0.00013074317,0.00004149131,0.000018696677,0.00002815733,0.000014046204,0.0003208731],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938333,0.00020921306,0.00007018849,0.000094391486,0.00019210043,0.000050859628],"domain_scores_gemma":[0.99833715,0.00091651746,0.0003511007,0.000051332772,0.00025639354,0.00008758871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008935304,0.00037850236,0.00031308678,0.00096500857,0.00017426231,0.00087649893,0.00032917433,0.0009726773,0.00046194988],"category_scores_gemma":[0.006117804,0.00023141134,0.00014608179,0.00034311463,0.0008865974,0.0008189759,0.00026773696,0.00065002305,0.00019847241],"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":[0.0038321996,0.0002353456,0.4662082,0.0006545594,0.00011779996,0.008156268,0.0012829182,0.001981426,0.37883022,0.0004446006,0.00042293867,0.13783358],"study_design_scores_gemma":[0.00007749924,0.0047133556,0.8214636,0.0004393961,0.00025895482,0.032684956,0.0023078106,0.01963844,0.11398207,0.0007961172,0.0035348698,0.00010292223],"about_ca_topic_score_codex":0.0008094273,"about_ca_topic_score_gemma":0.0011265626,"teacher_disagreement_score":0.0009726773,"about_ca_system_score_codex":0.00022973373,"about_ca_system_score_gemma":0.00027286573,"threshold_uncertainty_score":0.004725516},"labels":[],"label_agreement":null},{"id":"W3166596946","doi":"10.1109/tdei.2021.009475","title":"Observation and Simulation for the Movement of Metallic Particles in Flowing Transformer Oil under AC/DC and Combined Voltages","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Dielectrics and Electrical Insulation","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; Canada School of Energy and Environment","keywords":"Mechanics; Voltage; Electrode; Transformer oil; Transformer; Materials science; Electric field; Voltage drop; Drop (telecommunication); Electrical engineering; Physics; Engineering","score_opus":0.024053548210032246,"score_gpt":0.2410636852261412,"score_spread":0.21701013701610894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166596946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97969943,0.00009093892,0.015300986,0.00010865431,0.000025772219,0.000032340162,0.0003217835,0.00019289959,0.004227059],"genre_scores_gemma":[0.9952885,0.00006965177,0.0033179915,0.000008151037,0.0000025601285,0.000026930802,0.00012818241,0.000009400102,0.001148582],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994814,0.0000054779325,0.0000033704564,0.000009242219,0.000017431827,0.000016435559],"domain_scores_gemma":[0.9998696,0.00006240218,0.000017198496,0.000010081464,0.00002524228,0.000015505453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010990371,0.00023379564,0.00025710644,0.0002921514,0.00043400098,0.00027398329,0.00040902084,0.0007028446,0.0016292699],"category_scores_gemma":[0.00032839575,0.00013281644,0.0003982425,0.00028594807,0.0003469055,0.00025893818,0.00019387937,0.00026020952,0.00008818881],"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":[0.00020223648,0.00009447597,0.008578357,0.00012896472,0.000024084515,0.00075387995,0.00025904382,0.9481284,0.032179505,0.0023106872,0.00036244153,0.0069778743],"study_design_scores_gemma":[0.0000107811675,0.000050911018,0.0013752532,0.0000037910586,0.0000058309097,0.000029716306,0.000053751734,0.9944728,0.003661483,0.00013892924,0.00018951941,0.000007266283],"about_ca_topic_score_codex":0.012614206,"about_ca_topic_score_gemma":0.006351949,"teacher_disagreement_score":0.012614206,"about_ca_system_score_codex":0.00030936304,"about_ca_system_score_gemma":0.0003641536,"threshold_uncertainty_score":0.025081575},"labels":[],"label_agreement":null},{"id":"W3168188957","doi":"10.1016/j.compbiomed.2021.104522","title":"Electric impedance spectroscopy feature extraction for tissue classification with electrode embedded surgical needles through a modified forward stepwise method","year":2021,"lang":"en","type":"article","venue":"Computers in Biology and Medicine","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Pattern recognition (psychology); Classifier (UML); Feature extraction; Random forest; Computer science; Artificial intelligence; Feature vector; Biomedical engineering; Engineering","score_opus":0.01574338133444191,"score_gpt":0.33699411603475454,"score_spread":0.3212507347003126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168188957","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026321333,0.0001240132,0.97256505,0.00003556753,0.00002124053,0.000062991014,0.00007921123,0.0005205978,0.00027003713],"genre_scores_gemma":[0.3113523,0.00028119577,0.68465877,0.000050228413,0.000034339377,0.00022121567,0.0005397618,0.000103399594,0.0027588548],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999653,0.00005088606,0.00003665724,0.00008397906,0.0001446684,0.00003083283],"domain_scores_gemma":[0.99944466,0.0002582127,0.000044862853,0.000034667424,0.00020291444,0.000014594479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005707083,0.00077464065,0.0005944406,0.0006119626,0.0002502285,0.00043272472,0.0006916262,0.0004833247,0.001268568],"category_scores_gemma":[0.0010975626,0.00032874438,0.00095094653,0.00046920768,0.00016780739,0.00046301677,0.00046287398,0.00055344345,0.0006962516],"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":[0.00029680293,0.00021911493,0.0030199504,0.0002710136,0.00016027786,0.00025990617,0.00011507383,0.024998987,0.350037,0.0013610055,0.0014335156,0.61782736],"study_design_scores_gemma":[0.000032695654,0.00042956666,0.00918704,0.000020215353,0.0002326874,0.000637596,0.000053656953,0.8519697,0.13363703,0.0010009259,0.0027496603,0.000049195816],"about_ca_topic_score_codex":0.0011734443,"about_ca_topic_score_gemma":0.00245608,"teacher_disagreement_score":0.001268568,"about_ca_system_score_codex":0.00014036203,"about_ca_system_score_gemma":0.00064361724,"threshold_uncertainty_score":0.004243791},"labels":[],"label_agreement":null},{"id":"W3169687044","doi":"10.1016/j.flowmeasinst.2021.101973","title":"A novel method to improve Electrical Resistance Tomography measurements on slurries containing clays","year":2021,"lang":"en","type":"article","venue":"Flow Measurement and Instrumentation","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":14,"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 Alberta; Saskatchewan Research Council (Canada)","funders":"","keywords":"Slurry; Tomography; Tailings; Materials science; Electrical resistivity tomography; Electrical resistance and conductance; Geotechnical engineering; Soil science; Geology; Mineralogy; Composite material; Metallurgy; Electrical resistivity and conductivity","score_opus":0.03038844161093321,"score_gpt":0.2490282097913026,"score_spread":0.2186397681803694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169687044","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2142605,0.00131914,0.7789518,0.0003685054,0.00039117027,0.00023291957,0.0004037275,0.002292523,0.0017796141],"genre_scores_gemma":[0.40628982,0.0007389123,0.586714,0.00023118386,0.00012750363,0.0002605369,0.00037976936,0.00020921793,0.005049106],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99904495,0.00009713234,0.000050843086,0.0002704891,0.00048016614,0.00005633358],"domain_scores_gemma":[0.9986811,0.00043127793,0.00020552998,0.00017786086,0.0004493006,0.000054952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077327364,0.0008819423,0.0006364723,0.0010625548,0.00034153493,0.0005942992,0.000852708,0.0010657954,0.0012911329],"category_scores_gemma":[0.0014970995,0.0005638462,0.00035063492,0.0005741661,0.0004799265,0.0008636469,0.00066741434,0.0009885088,0.000608342],"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":[0.00002887852,0.000020607788,0.00027437642,0.00006904625,0.0000067142364,0.000031378568,0.0000245833,0.000090682486,0.99007064,0.000060906023,0.000107465596,0.009214691],"study_design_scores_gemma":[0.000015251418,0.00018261891,0.0018657449,0.0000089768155,0.000029462404,0.0002874059,0.000029533774,0.0066026812,0.987748,0.000053923595,0.0031520543,0.000024395184],"about_ca_topic_score_codex":0.00093377853,"about_ca_topic_score_gemma":0.0034771846,"teacher_disagreement_score":0.0012911329,"about_ca_system_score_codex":0.0003609362,"about_ca_system_score_gemma":0.00048999744,"threshold_uncertainty_score":0.0043192506},"labels":[],"label_agreement":null},{"id":"W3173871972","doi":"10.3389/fbioe.2021.698038","title":"Electrical Impedance Tomography for Robot-Aided Internal Radiation Therapy","year":2021,"lang":"en","type":"article","venue":"Frontiers in Bioengineering and Biotechnology","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Brachytherapy; Electrical impedance tomography; Radiation therapy; Prostate cancer; Medicine; Biomedical engineering; Tomography; Radiation treatment planning; Modality (human–computer interaction); Radiology; Nuclear medicine; Computer science; Cancer; Artificial intelligence","score_opus":0.004579980692490156,"score_gpt":0.19372806217394645,"score_spread":0.1891480814814563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173871972","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03365752,0.014485655,0.9405039,0.0013540076,0.00025687984,0.00015859766,0.00020393982,0.0017849922,0.0075944792],"genre_scores_gemma":[0.5421112,0.010661657,0.44003937,0.0005255401,0.00014109394,0.00024934686,0.00021627967,0.00020020017,0.005855261],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995591,0.00017190671,0.00002384444,0.00006110158,0.00016610081,0.00001792907],"domain_scores_gemma":[0.9993136,0.00037110588,0.00009461788,0.000078118836,0.00011479737,0.000027783983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004947013,0.00050071155,0.000458468,0.0005224516,0.00017059082,0.0008342953,0.00046194324,0.00073292584,0.0030274275],"category_scores_gemma":[0.0020211153,0.0002748244,0.00034441458,0.00066857587,0.0004714145,0.0006726807,0.00058540434,0.0006273838,0.0009283503],"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":[0.0006197295,0.0000929839,0.005752041,0.00090067275,0.000083009516,0.0010841956,0.00036192674,0.01866426,0.5064452,0.0067860363,0.0036706484,0.45553932],"study_design_scores_gemma":[0.00019462245,0.0012593531,0.025936507,0.0005882417,0.00029240613,0.011305915,0.0004926823,0.24319398,0.56108904,0.015159772,0.14013168,0.00035571313],"about_ca_topic_score_codex":0.00037499113,"about_ca_topic_score_gemma":0.00066952914,"teacher_disagreement_score":0.0030274275,"about_ca_system_score_codex":0.00048211365,"about_ca_system_score_gemma":0.0003918077,"threshold_uncertainty_score":0.010127783},"labels":[],"label_agreement":null},{"id":"W3195912285","doi":"10.1109/antem51107.2021.9518530","title":"Tomographic Approach to Human Hydration Assessment: In Silico Proof-of-Concept","year":2021,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"In silico; Metric (unit); Proof of concept; Simple (philosophy); Human health; Biological system; Dielectric; Computer science; Water content; Microwave imaging; Microwave; Biomedical engineering; Materials science; Chemistry; Biology; Geology; Engineering; Medicine","score_opus":0.011534390803794682,"score_gpt":0.239571395734948,"score_spread":0.22803700493115334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195912285","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.075448826,0.0024313023,0.9101839,0.0014531924,0.00031313734,0.00065692316,0.0006039548,0.0013971839,0.0075116274],"genre_scores_gemma":[0.53064615,0.0027343766,0.46078983,0.0006017384,0.00007654424,0.0006941172,0.0003593612,0.00018949345,0.003908312],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982435,0.000050383365,0.000006825921,0.000030564388,0.00007797175,0.000009954376],"domain_scores_gemma":[0.9997161,0.00013649075,0.0000316089,0.000026113392,0.00006826988,0.000021407364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007060953,0.00056946155,0.00033288152,0.00024231599,0.00015653229,0.00060003693,0.0007555939,0.0009991346,0.002313871],"category_scores_gemma":[0.0014950465,0.00032593665,0.0002115301,0.00017343646,0.00035432755,0.00045303928,0.00044327695,0.00060305634,0.0004728966],"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":[0.0004270456,0.00042535135,0.0016250134,0.0008117995,0.000060930386,0.000597943,0.00019176173,0.06360584,0.8673652,0.0045492076,0.0048963074,0.055443667],"study_design_scores_gemma":[0.000120869605,0.0014718573,0.0025167267,0.00010534555,0.00010845526,0.0020214668,0.00015754464,0.50427395,0.46429572,0.0024317931,0.022397183,0.000099033605],"about_ca_topic_score_codex":0.00090013276,"about_ca_topic_score_gemma":0.0010143535,"teacher_disagreement_score":0.002313871,"about_ca_system_score_codex":0.00033102068,"about_ca_system_score_gemma":0.00044844724,"threshold_uncertainty_score":0.007740736},"labels":[],"label_agreement":null},{"id":"W3200510241","doi":"10.5281/zenodo.4940249","title":"Proceedings of the 21st International Conference on Biomedical Applications of Electrical Impedance Tomography","year":2021,"lang":"en","type":"book","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Tomography; Medical physics; Medicine; Computer science; Radiology","score_opus":0.01596495187774183,"score_gpt":0.21654213113538304,"score_spread":0.2005771792576412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200510241","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003977242,0.18661873,0.10159639,0.009718561,0.06712864,0.00040654346,0.0022834393,0.0037850193,0.62448543],"genre_scores_gemma":[0.008515808,0.058927976,0.022221228,0.00139695,0.0060569416,0.00016397603,0.0021704794,0.0010297085,0.89951694],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998863,0.00013542958,0.000056883746,0.00017508934,0.0007028002,0.000066857916],"domain_scores_gemma":[0.9981127,0.0003311502,0.00007386712,0.0001941481,0.0010332336,0.00025488643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015722646,0.0012380884,0.0013250489,0.0020594157,0.0007064524,0.0044064135,0.0012211384,0.0016555736,0.12722465],"category_scores_gemma":[0.0020536936,0.0005150734,0.0007200989,0.0018398392,0.000908926,0.0025404994,0.0017692215,0.002558969,0.102759525],"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":[0.00015100508,0.00006867045,0.0002746237,0.00069158804,0.000049327267,0.00019274834,0.00014689805,0.00056457723,0.01093036,0.009929602,0.6284536,0.34854692],"study_design_scores_gemma":[0.0000060786624,0.000035718276,0.0004239594,0.00016169137,0.000013709325,0.000362986,0.00003736146,0.00042787622,0.0017392631,0.002368288,0.9944073,0.000015829706],"about_ca_topic_score_codex":0.0013298512,"about_ca_topic_score_gemma":0.002187399,"teacher_disagreement_score":0.12722465,"about_ca_system_score_codex":0.00082233036,"about_ca_system_score_gemma":0.0014755608,"threshold_uncertainty_score":0.42560887},"labels":[],"label_agreement":null},{"id":"W3206836900","doi":"10.1007/s11517-021-02454-3","title":"Development of a tissue discrimination electrode embedded surgical needle using vibro-tactile feedback derived from electric impedance spectroscopy","year":2021,"lang":"en","type":"article","venue":"Medical & Biological Engineering & Computing","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":6,"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 Ontario Institute of Technology","funders":"","keywords":"Electrical impedance; Biomedical engineering; Computer science; Electrode; Electrode array; Naive Bayes classifier; MATLAB; Acoustics; Artificial intelligence; Support vector machine; Physics; Engineering; Electrical engineering","score_opus":0.013830980394542818,"score_gpt":0.2470807556898041,"score_spread":0.23324977529526128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206836900","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14258346,0.0012400891,0.8520636,0.00040343934,0.00033041867,0.00022172369,0.00016288138,0.00082935684,0.0021649618],"genre_scores_gemma":[0.50595826,0.00088982505,0.4879555,0.00034226893,0.00007174004,0.00011336422,0.00018484038,0.000060124024,0.0044240695],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99962294,0.000025608859,0.000026517899,0.000106754065,0.00019556886,0.000022523418],"domain_scores_gemma":[0.9996001,0.00009630244,0.000066115404,0.000044019172,0.00014886071,0.000044575623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038529755,0.00035456003,0.0003731245,0.00024331427,0.00012453919,0.00037359752,0.0011984839,0.0009558093,0.0008626826],"category_scores_gemma":[0.0005702331,0.00030264747,0.00030101155,0.00022593899,0.00019742602,0.0007042824,0.0004663026,0.00034694106,0.0005583849],"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":[0.0000317975,0.000031528965,0.0003126024,0.00009376758,0.0000089333,0.0001298392,0.000027755494,0.00022642156,0.98004144,0.0003425371,0.00012643705,0.01862689],"study_design_scores_gemma":[0.000027545842,0.0008760239,0.003806514,0.000020275053,0.00005619946,0.0026012466,0.000034551118,0.01621371,0.9695491,0.0002340401,0.0065433946,0.00003744541],"about_ca_topic_score_codex":0.000215843,"about_ca_topic_score_gemma":0.00040288005,"teacher_disagreement_score":0.0011984839,"about_ca_system_score_codex":0.00016675514,"about_ca_system_score_gemma":0.0003575326,"threshold_uncertainty_score":0.0028859973},"labels":[],"label_agreement":null},{"id":"W3209870897","doi":"10.20944/preprints202103.0397.v1","title":"Numerical Simulation and Experimental Study of Capacitive Imaging Technique as a Non-Destructive Testing Method","year":2021,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Capacitive sensing; Planar; Finite element method; Materials science; Sample (material); Dielectric; Acoustics; Surface (topology); Electrode; Electronic engineering; Computer science; Optoelectronics; Electrical engineering; Engineering; Structural engineering; Geometry; Physics","score_opus":0.06374964263312392,"score_gpt":0.3642355400521791,"score_spread":0.3004858974190552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209870897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5003313,0.0007066282,0.47217432,0.0005110635,0.0001294934,0.00024586872,0.00046678243,0.00069380255,0.024740666],"genre_scores_gemma":[0.92316556,0.00026602825,0.07410246,0.000040375904,0.000010358596,0.00014475654,0.00011274071,0.000036583577,0.0021210671],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999708,0.00004618911,0.000011168495,0.00004993829,0.00016116834,0.000023501627],"domain_scores_gemma":[0.9992243,0.00040625513,0.00008519489,0.00008955432,0.00017318325,0.000021516846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005335822,0.00042204154,0.00030479106,0.00040983033,0.00020346792,0.0004414843,0.0007302712,0.000933136,0.0016041823],"category_scores_gemma":[0.0016398317,0.00015644949,0.00028018054,0.00046838835,0.0005358536,0.0004980996,0.0002639621,0.00032306483,0.00019771085],"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":[0.00018411674,0.00021590415,0.0034747901,0.00035077252,0.000019818684,0.00031392707,0.00022093416,0.8451149,0.11480545,0.010460874,0.0005731482,0.02426528],"study_design_scores_gemma":[0.000009123504,0.000059541704,0.0004363576,0.00000884471,0.0000038650437,0.00004544982,0.000019699028,0.98640394,0.012020852,0.00046848098,0.00051479,0.000009029362],"about_ca_topic_score_codex":0.0017175374,"about_ca_topic_score_gemma":0.0007325914,"teacher_disagreement_score":0.0017175374,"about_ca_system_score_codex":0.0003121274,"about_ca_system_score_gemma":0.0002697807,"threshold_uncertainty_score":0.005366504},"labels":[],"label_agreement":null},{"id":"W3210712651","doi":"10.32920/ryerson.14651730.v1","title":"Visualisation of flow pattern and measurement of liquid distribution in a random packed column using electrical resistance tomography (ERT)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Toronto Metropolitan University","funders":"","keywords":"Volumetric flow rate; Flow (mathematics); Materials science; Mechanics; Flow velocity; Packed bed; Flow visualization; Superficial velocity; Mass transfer; Chemistry; Physics; Chromatography","score_opus":0.016470396525398185,"score_gpt":0.22622012788696416,"score_spread":0.20974973136156597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210712651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8535891,0.0006776394,0.1438248,0.00016720398,0.000022552764,0.000054985743,0.00018171748,0.0005917097,0.00089027645],"genre_scores_gemma":[0.902854,0.00059510156,0.09510193,0.00013534377,0.000021201451,0.00007848134,0.000125353,0.00006599098,0.0010226329],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997354,0.00006812909,0.00001549409,0.00007785455,0.00007385546,0.000029162262],"domain_scores_gemma":[0.99947613,0.0002436188,0.00013724301,0.000034964924,0.000081773,0.000026260996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036421887,0.00032412115,0.00020163684,0.0005732043,0.00014366451,0.00037382005,0.00028519935,0.00040720575,0.000684793],"category_scores_gemma":[0.0008956361,0.00018031971,0.00014254896,0.00038284808,0.00042712645,0.000744424,0.00025776078,0.00036336988,0.00021761497],"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":[0.00008401134,0.000015592972,0.0016646388,0.000049822662,0.0000049800215,0.00010058678,0.000049620943,0.0002722822,0.99131095,0.00009514487,0.000035739635,0.0063166567],"study_design_scores_gemma":[0.000014205596,0.00042793626,0.0117460815,0.000011610181,0.000027149334,0.0007186767,0.00013021071,0.013836497,0.97220516,0.00013827678,0.0007177661,0.000026445461],"about_ca_topic_score_codex":0.00042216046,"about_ca_topic_score_gemma":0.00048521062,"teacher_disagreement_score":0.000684793,"about_ca_system_score_codex":0.00018199609,"about_ca_system_score_gemma":0.00017946259,"threshold_uncertainty_score":0.0022909045},"labels":[],"label_agreement":null},{"id":"W3217329638","doi":"10.22215/etd/2020-14248","title":"Improving Electrical Impedance Tomography Imaging of the Brain","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Electrical impedance tomography; Medicine; Ischemia; Modality (human–computer interaction); Biomedical engineering; Tomography; Neuroimaging; Radiology; Nuclear medicine; Internal medicine; Computer science; Artificial intelligence","score_opus":0.002893732612329862,"score_gpt":0.193068897276724,"score_spread":0.19017516466439413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217329638","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10947483,0.020551655,0.80595875,0.006007195,0.00093379355,0.0002101257,0.00050440914,0.002652246,0.05370705],"genre_scores_gemma":[0.30307811,0.029578578,0.5867559,0.000998536,0.000726913,0.00021177212,0.0010018301,0.0007519267,0.0768965],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975306,0.000047377,0.00001294331,0.00004442477,0.00012577377,0.000016394679],"domain_scores_gemma":[0.9995303,0.00013043443,0.000032109187,0.000030157256,0.00025195567,0.000025083495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005233792,0.00031691664,0.0002059921,0.0006648647,0.000105039515,0.0008991444,0.00021387999,0.00036404256,0.0051071127],"category_scores_gemma":[0.0019122087,0.00017608104,0.00020450047,0.0005290277,0.00015828523,0.00078539003,0.0004998618,0.00053894817,0.0034559912],"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":[0.000090809524,0.0000736932,0.0013089285,0.0002637818,0.00002128863,0.00013605486,0.00025693382,0.0023954313,0.27669784,0.0030203883,0.017727427,0.69800746],"study_design_scores_gemma":[0.00006280112,0.0005408151,0.020374823,0.00037253005,0.00012682508,0.0027167725,0.0005243068,0.05140133,0.5136341,0.010903063,0.39923885,0.00010375602],"about_ca_topic_score_codex":0.00022780837,"about_ca_topic_score_gemma":0.0006150444,"teacher_disagreement_score":0.0051071127,"about_ca_system_score_codex":0.00021019812,"about_ca_system_score_gemma":0.0002260252,"threshold_uncertainty_score":0.017084956},"labels":[],"label_agreement":null},{"id":"W3217653213","doi":"10.32920/ryerson.14662842.v1","title":"Using electrical resistance tomography to characterize and optimize the mixing of micron sized polymeric particles in a slurry reactor","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Impeller; Homogeneity (statistics); Materials science; Slurry; Mixing (physics); Rotational speed; Slip factor; Agitator; Composite material; Mechanical engineering; Engineering","score_opus":0.019110716832374225,"score_gpt":0.22869896386432104,"score_spread":0.2095882470319468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217653213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9175356,0.0005832327,0.08043292,0.00012888742,0.000015267951,0.000043506745,0.00009223598,0.00024623697,0.00092193205],"genre_scores_gemma":[0.94727224,0.00037931214,0.051616956,0.000033689874,0.000006501028,0.000043126183,0.00008204589,0.00003429225,0.0005317479],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972564,0.00005780887,0.000022761133,0.000059468588,0.00011148681,0.000022871582],"domain_scores_gemma":[0.99966276,0.00015138178,0.000095751486,0.000022962871,0.00005527942,0.000011957897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046298164,0.0003003697,0.00029539134,0.0002499183,0.000107783344,0.00047810332,0.00024688896,0.00039812675,0.0002887099],"category_scores_gemma":[0.0007894615,0.00018917695,0.00022794832,0.00027233656,0.00022966738,0.0007107009,0.00022299775,0.0004163621,0.00015859523],"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":[0.000040685016,0.000017182703,0.00047055117,0.000033438573,0.0000028737206,0.00003124776,0.000014749983,0.0007530215,0.9949555,0.00006387748,0.00001708877,0.003599754],"study_design_scores_gemma":[0.0000067025057,0.00018029816,0.0014835428,0.000002766311,0.000008832808,0.00006310094,0.000031577336,0.015867254,0.98190916,0.000039964878,0.00040022758,0.0000066481966],"about_ca_topic_score_codex":0.00026379206,"about_ca_topic_score_gemma":0.00041227762,"teacher_disagreement_score":0.00047810332,"about_ca_system_score_codex":0.00024909616,"about_ca_system_score_gemma":0.0001829825,"threshold_uncertainty_score":0.0024484992},"labels":[],"label_agreement":null},{"id":"W4205364618","doi":"10.1002/9781118888438.ch212","title":"Anode Electrical Resistance Measurements: Learning and Industrial On‐Line Measurement Equipment Development","year":2014,"lang":"en","type":"other","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Aluminerie Alouette (Canada); Rio Tinto (Canada); Cégep de Jonquière","funders":"","keywords":"Line (geometry); Anode; Resistance (ecology); Electrical resistance and conductance; Electrical engineering; Materials science; Computer science; Engineering; Chemistry; Electrode; Biology; Mathematics","score_opus":0.05202781977109797,"score_gpt":0.23204123870947946,"score_spread":0.1800134189383815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205364618","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046468843,0.0060831327,0.80478066,0.0050506312,0.00074529654,0.000490792,0.00072059303,0.007902257,0.12775777],"genre_scores_gemma":[0.2461589,0.0077478243,0.5581558,0.0012273618,0.00070012815,0.0003391669,0.002043583,0.0025032568,0.181124],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99642193,0.0007351691,0.000097806565,0.00046350356,0.0021665744,0.00011512006],"domain_scores_gemma":[0.9948651,0.0011832378,0.00017847061,0.0009822438,0.0026324543,0.00015845931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00423075,0.0009895638,0.00061043055,0.0012434212,0.00050242385,0.0018755142,0.0025557945,0.0016131956,0.016206954],"category_scores_gemma":[0.0059120385,0.0006462282,0.0004503201,0.0014433373,0.00070607645,0.003939153,0.0015770121,0.0015283856,0.007935535],"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":[0.0001694489,0.00032736163,0.005358083,0.0004525926,0.000027753727,0.000102833605,0.0005548624,0.0051762434,0.046694666,0.008649063,0.01940671,0.91308033],"study_design_scores_gemma":[0.00006714857,0.00086024305,0.029080674,0.00057075144,0.000088857865,0.0014860606,0.0013514357,0.05363038,0.41998446,0.019064412,0.4736367,0.00017886421],"about_ca_topic_score_codex":0.0014030468,"about_ca_topic_score_gemma":0.002558834,"teacher_disagreement_score":0.016206954,"about_ca_system_score_codex":0.0014617216,"about_ca_system_score_gemma":0.0013383757,"threshold_uncertainty_score":0.054217637},"labels":[],"label_agreement":null},{"id":"W4205703508","doi":"10.22215/etd/2021-14684","title":"Electrical Impedance Tomography for Perfusion Imaging and Monitoring","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Université de Sherbrooke","keywords":"Electrical impedance tomography; Sensitivity (control systems); Tomography; Iterative reconstruction; Acoustics; Electrical impedance; Perfusion scanning; Polygon mesh; Biomedical engineering; Medical imaging; Computer science; Materials science; Computer vision; Artificial intelligence; Electronic engineering; Physics; Perfusion; Optics; Engineering; Radiology; Electrical engineering; Medicine","score_opus":0.00441027522861574,"score_gpt":0.22654743451145867,"score_spread":0.22213715928284294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205703508","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012577018,0.3270383,0.4972412,0.008497837,0.0033341812,0.00034656428,0.0010594242,0.0018290526,0.14807646],"genre_scores_gemma":[0.13983107,0.31682372,0.3350564,0.0024581733,0.002448869,0.0007888969,0.0018035236,0.00080984685,0.19997948],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99959844,0.000072592054,0.00001843927,0.00007966437,0.00020409099,0.000026673892],"domain_scores_gemma":[0.9996425,0.000117989235,0.000023320566,0.0000337541,0.00015505517,0.000027419339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080629677,0.00053283054,0.0005782769,0.0011844549,0.00033042513,0.0013049684,0.00040307958,0.0008474983,0.012789128],"category_scores_gemma":[0.0011070758,0.00026275186,0.00039318652,0.0014642181,0.00047477894,0.0009996917,0.0007116952,0.00140628,0.0051073097],"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":[0.00016521526,0.00011575504,0.00061691675,0.0012734422,0.00006879588,0.0003339465,0.00026790448,0.0030997412,0.14516447,0.052938383,0.06101992,0.7349354],"study_design_scores_gemma":[0.000051149796,0.00023649372,0.002615469,0.00085905584,0.00007699297,0.0018702692,0.00015729861,0.007763559,0.07930869,0.03367046,0.8733139,0.00007662423],"about_ca_topic_score_codex":0.00038045988,"about_ca_topic_score_gemma":0.000686454,"teacher_disagreement_score":0.012789128,"about_ca_system_score_codex":0.0006246745,"about_ca_system_score_gemma":0.00058462174,"threshold_uncertainty_score":0.042783916},"labels":[],"label_agreement":null},{"id":"W4220848269","doi":"10.1088/2057-1976/ac5bf1","title":"Improvement of performance and sensitivity of 2D and 3D image reconstruction in EIT using EFG forward model","year":2022,"lang":"en","type":"article","venue":"Biomedical Physics & Engineering Express","topic":"Electrical and Bioimpedance Tomography","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":"Jacobian matrix and determinant; Electrical impedance tomography; Computation; Finite element method; Algorithm; Iterative reconstruction; Inverse; Matrix (chemical analysis); Computer science; Sensitivity (control systems); Galerkin method; Tomography; Mathematics; Artificial intelligence; Physics; Optics; Electronic engineering; Materials science; Engineering; Geometry; Applied mathematics","score_opus":0.005445889534003213,"score_gpt":0.18370800841214444,"score_spread":0.17826211887814122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220848269","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01446644,0.00019195757,0.9836828,0.00012185972,0.000019179572,0.000017996008,0.000030084711,0.00045555414,0.0010141132],"genre_scores_gemma":[0.35658297,0.00055944547,0.6395595,0.00016402866,0.00002368029,0.00009144069,0.00021082637,0.00022610626,0.0025820397],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996443,0.00008145251,0.000017053051,0.000059445265,0.00017343921,0.000024425643],"domain_scores_gemma":[0.9994337,0.00030492235,0.000037632122,0.00008463199,0.000121644094,0.000017407247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077622605,0.0006428135,0.00046532546,0.00045463088,0.0002400839,0.00069905893,0.0006981379,0.0012546858,0.0013203124],"category_scores_gemma":[0.00254638,0.0002775627,0.00054175983,0.00039043726,0.00042041307,0.0010627401,0.00088312366,0.0007258328,0.000526387],"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":[0.00032233898,0.00008962416,0.003598886,0.00037969043,0.000060156013,0.00048812624,0.00040860273,0.595779,0.09921908,0.014713052,0.0016176695,0.28332382],"study_design_scores_gemma":[0.000004645627,0.00001713415,0.00022297789,0.000007508191,0.000005927161,0.00014572835,0.000014946482,0.9844935,0.013118863,0.001029113,0.0009282283,0.00001133409],"about_ca_topic_score_codex":0.0024913978,"about_ca_topic_score_gemma":0.001774948,"teacher_disagreement_score":0.0024913978,"about_ca_system_score_codex":0.00031576576,"about_ca_system_score_gemma":0.0005354316,"threshold_uncertainty_score":0.0049538016},"labels":[],"label_agreement":null},{"id":"W4224234569","doi":"10.1016/j.vaa.2022.04.004","title":"Evaluation of lung ventilation distribution using electrical impedance tomography in standing sedated horses with capnoperitoneum","year":2022,"lang":"en","type":"article","venue":"Veterinary Anaesthesia and Analgesia","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Saskatchewan","funders":"Western College of Veterinary Medicine, University of Saskatchewan","keywords":"Medicine; Anesthesia; Tidal volume; Acepromazine; Ventilation (architecture); Detomidine; Respiratory rate; Sedation; Lung; Heart rate; Respiratory system; Internal medicine; Blood pressure; Xylazine; Ketamine","score_opus":0.019698934525467695,"score_gpt":0.2487192644495127,"score_spread":0.229020329924045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224234569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983255,0.00028193305,0.0009776682,0.00004328621,0.0000069963476,0.000020185726,0.00003603959,0.000006188232,0.00030217593],"genre_scores_gemma":[0.9993799,0.00012809278,0.00032570993,0.000023545255,0.000009916832,0.00000985914,0.00003001068,0.0000012043866,0.00009170587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997918,0.00003755159,0.000022742675,0.00004417465,0.000043909622,0.00005991571],"domain_scores_gemma":[0.9997489,0.000068342546,0.00007708951,0.000009184308,0.000039611612,0.000056882862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030455756,0.00041941635,0.00031557016,0.00068423036,0.000248981,0.00044026828,0.0002241418,0.0006413318,0.0005261427],"category_scores_gemma":[0.0008839121,0.00020543466,0.0001737965,0.00024608593,0.00093017466,0.00039474454,0.0003080146,0.00043010133,0.000108452135],"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":[0.0060939337,0.00036854378,0.58091193,0.00026974734,0.00014025197,0.032781206,0.001572895,0.0009194534,0.34531525,0.0002712182,0.00026714374,0.031088397],"study_design_scores_gemma":[0.000049081882,0.0038691922,0.92705065,0.000059323585,0.00014714367,0.020874854,0.0016780602,0.005387504,0.039852835,0.0001531953,0.0008485237,0.000029718212],"about_ca_topic_score_codex":0.00089284865,"about_ca_topic_score_gemma":0.0013672437,"teacher_disagreement_score":0.00089284865,"about_ca_system_score_codex":0.00028521783,"about_ca_system_score_gemma":0.00026063283,"threshold_uncertainty_score":0.0020694733},"labels":[],"label_agreement":null},{"id":"W4226074640","doi":"10.2196/35346","title":"The Cole Relaxation Frequency as a Parameter to Identify Cancer in Lung Tissue: Preliminary Animal and Ex Vivo Patient Studies","year":2022,"lang":"en","type":"article","venue":"JMIR Biomedical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ex vivo; Medicine; Lung cancer; Lung; Pathology; Histopathology; In vivo; Cancer; Biology; Internal medicine","score_opus":0.006766851117776643,"score_gpt":0.2791459250899043,"score_spread":0.2723790739721277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226074640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872836,0.0013272021,0.01036593,0.00009628415,0.000017911942,0.00013126139,0.0001747444,0.000055550743,0.00054758345],"genre_scores_gemma":[0.993115,0.0007136624,0.005086031,0.00009746439,0.000015679647,0.000102451166,0.000344849,0.000021724445,0.0005032568],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995956,0.00020561971,0.00001872386,0.00007629109,0.000059649414,0.00004411488],"domain_scores_gemma":[0.9990589,0.00047676495,0.00013506903,0.00013112844,0.00011801384,0.00008009897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00161387,0.0005130598,0.0004057772,0.0003867934,0.00020467292,0.0003837481,0.0003037775,0.0005655546,0.0013611219],"category_scores_gemma":[0.0012359546,0.00019185506,0.00028927668,0.00026082326,0.0009041332,0.00039672188,0.00029203502,0.0006595571,0.00034891712],"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":[0.0068286224,0.00348275,0.051304005,0.00033604843,0.00015102299,0.0008300175,0.00062224135,0.0029907844,0.89782906,0.00018488041,0.0006786776,0.034761965],"study_design_scores_gemma":[0.00054876745,0.10132205,0.21335611,0.00007403416,0.00067595684,0.0090451855,0.0013434216,0.026885275,0.63942075,0.0005679537,0.0066050496,0.00015548943],"about_ca_topic_score_codex":0.00054175983,"about_ca_topic_score_gemma":0.00090632564,"teacher_disagreement_score":0.00161387,"about_ca_system_score_codex":0.00024503915,"about_ca_system_score_gemma":0.00019322423,"threshold_uncertainty_score":0.008535087},"labels":[],"label_agreement":null},{"id":"W4231320634","doi":"10.32920/ryerson.14647059.v1","title":"Ultrasound mediated study of the electrokinetic effects in biological tissues and phantoms","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ultrasound; Electrokinetic phenomena; Imaging phantom; Biomedical engineering; Materials science; Amplitude; Acoustics; Optics; Physics; Nanotechnology; Medicine","score_opus":0.00762699055048117,"score_gpt":0.21694831606831202,"score_spread":0.20932132551783086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231320634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96542245,0.003444439,0.028095298,0.00013165678,0.000072147326,0.00012734426,0.00015807418,0.0001361666,0.0024123706],"genre_scores_gemma":[0.9703293,0.0017866625,0.023073463,0.0001164467,0.00003370749,0.0001987956,0.00024363496,0.000044586275,0.004173423],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978226,0.00007154148,0.000011829875,0.00004537074,0.000054345495,0.000034730336],"domain_scores_gemma":[0.99955064,0.00023589727,0.000078681594,0.000035413606,0.00006394707,0.000035452533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047485813,0.0004109598,0.0002290577,0.0003219739,0.00010857735,0.00027235397,0.00026274988,0.00036272247,0.0008103978],"category_scores_gemma":[0.0007547403,0.00017929634,0.00012962948,0.00025343653,0.0004403816,0.00036349546,0.0003023954,0.00032838352,0.00016055608],"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":[0.000033640714,0.000014243722,0.000046448804,0.000029863113,0.0000022538172,0.000035505524,0.00004074367,0.000108813736,0.99894077,0.00010217446,0.000014200482,0.0006314872],"study_design_scores_gemma":[0.000009947639,0.0004443661,0.0015123237,0.000009751718,0.0000099996105,0.0001954069,0.00005322458,0.0020478303,0.994224,0.000112380345,0.0013732462,0.0000075447765],"about_ca_topic_score_codex":0.0002818674,"about_ca_topic_score_gemma":0.0002551246,"teacher_disagreement_score":0.0008103978,"about_ca_system_score_codex":0.00017254688,"about_ca_system_score_gemma":0.00014935683,"threshold_uncertainty_score":0.002710998},"labels":[],"label_agreement":null},{"id":"W4231592017","doi":"10.1007/978-1-4020-3995-9_125","title":"Conductivity, Hydraulic","year":2007,"lang":"en","type":"book-chapter","venue":"Encyclopedia of earth sciences series/Encyclopedia of earth sciences","topic":"Electrical and Bioimpedance Tomography","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 Guelph","funders":"","keywords":"Hydraulic conductivity; Conductivity; Materials science; Environmental science; Physics; Soil science","score_opus":0.023172049707606474,"score_gpt":0.240321346976897,"score_spread":0.21714929726929053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231592017","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0063251024,0.08041702,0.092505835,0.0047502574,0.008738745,0.00015567921,0.0027842198,0.0024849286,0.8018382],"genre_scores_gemma":[0.09952951,0.05540053,0.026407486,0.0017723088,0.005100452,0.00021255549,0.0024190054,0.0008194272,0.80833864],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994894,0.00003719034,0.000034257886,0.00019189781,0.00022153542,0.000025710753],"domain_scores_gemma":[0.999772,0.00004326909,0.000031929103,0.00004213757,0.00009421097,0.000016474502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027216473,0.0019713815,0.0009522276,0.0026622557,0.00070321676,0.003810497,0.0014235028,0.0019004125,0.05336722],"category_scores_gemma":[0.0009764206,0.0004490814,0.00044786005,0.004188383,0.002057577,0.004710699,0.0011578519,0.001810018,0.023567598],"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":[0.000042262633,0.00011071074,0.0006218174,0.001799441,0.000029294497,0.00032421938,0.00026980677,0.010221401,0.013289759,0.36067727,0.14458689,0.46802706],"study_design_scores_gemma":[0.000009413429,0.00005589287,0.00097535166,0.00017693975,0.00003139064,0.00080216315,0.00018651561,0.0047118575,0.0027468312,0.13532838,0.8549283,0.000047036363],"about_ca_topic_score_codex":0.0026492998,"about_ca_topic_score_gemma":0.0029836942,"teacher_disagreement_score":0.05336722,"about_ca_system_score_codex":0.0007920363,"about_ca_system_score_gemma":0.000884121,"threshold_uncertainty_score":0.17853117},"labels":[],"label_agreement":null},{"id":"W4231964361","doi":"10.32920/ryerson.14661018","title":"Characterization of the mixing of wheat straw slurries through electrical resistance tomography (ERT)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Toronto Metropolitan University","funders":"","keywords":"Slurry; Straw; Materials science; Yield (engineering); Rheology; Impeller; Grinding; Mixing (physics); Composite material; Electrical resistance and conductance; Fiber; Agronomy; Mechanical engineering; Engineering","score_opus":0.007944225660577444,"score_gpt":0.19913406255568622,"score_spread":0.19118983689510877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231964361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97838026,0.00029174928,0.020182267,0.000053564145,0.000013261635,0.000024585905,0.00015691246,0.00011589446,0.00078139285],"genre_scores_gemma":[0.9858358,0.00021094392,0.012918567,0.000030048972,0.0000072238267,0.000022538288,0.00019768556,0.000039374103,0.0007379105],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998728,0.000013260082,0.000009003557,0.000036691712,0.00005049669,0.000017599586],"domain_scores_gemma":[0.9998161,0.00005444792,0.000050916893,0.000016312551,0.00004728037,0.000014948981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032707158,0.0003209402,0.00021583147,0.0004110605,0.00018813436,0.00042123866,0.00017392183,0.00038875593,0.00060900504],"category_scores_gemma":[0.00055428705,0.00017874193,0.00018297185,0.00034383865,0.0003027352,0.0004885519,0.00020251024,0.0003330104,0.00012138611],"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":[0.000037385158,0.0000072000744,0.0010220701,0.000020801072,0.0000031807706,0.00008765725,0.000061045,0.00026762811,0.99628204,0.00005101663,0.000020240093,0.0021397332],"study_design_scores_gemma":[0.0000068002355,0.00018592105,0.020406557,0.0000067010865,0.000015083458,0.00029276556,0.00020527758,0.01073261,0.9668308,0.00006970942,0.0012328736,0.000014885256],"about_ca_topic_score_codex":0.00050658255,"about_ca_topic_score_gemma":0.00072743004,"teacher_disagreement_score":0.00060900504,"about_ca_system_score_codex":0.00015046536,"about_ca_system_score_gemma":0.000105451494,"threshold_uncertainty_score":0.0020373464},"labels":[],"label_agreement":null},{"id":"W4232960281","doi":"10.32920/ryerson.14668212.v1","title":"Monitoring electric field induced changes in biological tissues and phantoms using ultrasound","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Toronto Metropolitan University","funders":"","keywords":"Electric field; Amplitude; SIGNAL (programming language); Materials science; Root mean square; Noise (video); Signal-to-noise ratio (imaging); Field (mathematics); Nuclear magnetic resonance; Modulation (music); Acoustics; Optics; Biomedical engineering; Physics; Biological system; Computer science; Mathematics; Medicine","score_opus":0.04210823956751433,"score_gpt":0.2764690637485389,"score_spread":0.23436082418102458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232960281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93444353,0.0017236575,0.061938573,0.00009129127,0.000040427167,0.000060560535,0.00009992241,0.00024186839,0.0013600786],"genre_scores_gemma":[0.96659744,0.00095900195,0.030615536,0.0000859161,0.000024625895,0.00007765835,0.00013264235,0.000043801,0.0014634047],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997975,0.00006291923,0.000010886319,0.000048998925,0.000057508223,0.00002213248],"domain_scores_gemma":[0.99957174,0.0002404509,0.00008094676,0.000032155007,0.000047143076,0.000027515312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004811307,0.0003992917,0.00022713258,0.0003830808,0.000112893904,0.00028273003,0.00022531599,0.00037101048,0.0006685392],"category_scores_gemma":[0.0011297313,0.00017659286,0.00012878784,0.00024603336,0.00055101875,0.00039282514,0.00030138085,0.00021669772,0.00013039613],"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":[0.000046952635,0.000008232655,0.000215902,0.00003392101,0.0000030502222,0.00003334715,0.000037112703,0.00022477956,0.9981177,0.00005399527,0.000011006346,0.0012139804],"study_design_scores_gemma":[0.000009794665,0.00051701657,0.006528538,0.000011257808,0.000019944277,0.00045542326,0.000092259936,0.0053224675,0.98598355,0.00018985309,0.00085461186,0.000015273648],"about_ca_topic_score_codex":0.00019556297,"about_ca_topic_score_gemma":0.00024727153,"teacher_disagreement_score":0.0006685392,"about_ca_system_score_codex":0.00013288332,"about_ca_system_score_gemma":0.00011279383,"threshold_uncertainty_score":0.0025444627},"labels":[],"label_agreement":null},{"id":"W4233367835","doi":"10.32920/ryerson.14647059","title":"Ultrasound mediated study of the electrokinetic effects in biological tissues and phantoms","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ultrasound; Electrokinetic phenomena; Imaging phantom; Biomedical engineering; Materials science; Amplitude; Acoustics; Optics; Physics; Nanotechnology; Medicine","score_opus":0.00762699055048117,"score_gpt":0.21694831606831202,"score_spread":0.20932132551783086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233367835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96542245,0.003444439,0.028095298,0.00013165678,0.000072147326,0.00012734426,0.00015807418,0.0001361666,0.0024123706],"genre_scores_gemma":[0.9703293,0.0017866625,0.023073463,0.0001164467,0.00003370749,0.0001987956,0.00024363496,0.000044586275,0.004173423],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978226,0.00007154148,0.000011829875,0.00004537074,0.000054345495,0.000034730336],"domain_scores_gemma":[0.99955064,0.00023589727,0.000078681594,0.000035413606,0.00006394707,0.000035452533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047485813,0.0004109598,0.0002290577,0.0003219739,0.00010857735,0.00027235397,0.00026274988,0.00036272247,0.0008103978],"category_scores_gemma":[0.0007547403,0.00017929634,0.00012962948,0.00025343653,0.0004403816,0.00036349546,0.0003023954,0.00032838352,0.00016055608],"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":[0.000033640714,0.000014243722,0.000046448804,0.000029863113,0.0000022538172,0.000035505524,0.00004074367,0.000108813736,0.99894077,0.00010217446,0.000014200482,0.0006314872],"study_design_scores_gemma":[0.000009947639,0.0004443661,0.0015123237,0.000009751718,0.0000099996105,0.0001954069,0.00005322458,0.0020478303,0.994224,0.000112380345,0.0013732462,0.0000075447765],"about_ca_topic_score_codex":0.0002818674,"about_ca_topic_score_gemma":0.0002551246,"teacher_disagreement_score":0.0008103978,"about_ca_system_score_codex":0.00017254688,"about_ca_system_score_gemma":0.00014935683,"threshold_uncertainty_score":0.002710998},"labels":[],"label_agreement":null},{"id":"W4234726380","doi":"10.22215/etd/2015-11124","title":"Electrical Impedance Tomography in 3D: Characterization and Evaluation","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Imaging phantom; Tomography; Offset (computer science); Physics; Characterization (materials science); Electrical impedance; Acoustics; Materials science; Biomedical engineering; Computer science; Engineering; Optics","score_opus":0.00863706219055585,"score_gpt":0.25162002759354507,"score_spread":0.24298296540298922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234726380","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1173023,0.003496786,0.86639404,0.000723981,0.00012364659,0.00033574714,0.0011965252,0.0019024092,0.008524514],"genre_scores_gemma":[0.6518882,0.0070662685,0.3321753,0.00022660856,0.00008205051,0.0003928918,0.0013147477,0.0005548695,0.0062989974],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985359,0.00021148418,0.00008749209,0.000113710994,0.001004579,0.000046848698],"domain_scores_gemma":[0.99782926,0.0009245883,0.00021729589,0.00021303164,0.0007595374,0.00005634031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015125616,0.0005848812,0.00054306036,0.0013280564,0.00017865487,0.0024546108,0.0006001462,0.0010290679,0.0026990229],"category_scores_gemma":[0.0061100475,0.00038748555,0.0004935158,0.0012896181,0.00064848043,0.0013548036,0.0010002452,0.0005361977,0.0011776048],"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":[0.0005669265,0.00022820843,0.020330194,0.0011149566,0.00013941471,0.0005899405,0.00080059405,0.11233922,0.22973718,0.008904614,0.0056560454,0.61959267],"study_design_scores_gemma":[0.000050390678,0.0006222463,0.035609663,0.0003800394,0.00014759038,0.0031709163,0.0006236656,0.58816576,0.32842484,0.008073142,0.034485348,0.00024641622],"about_ca_topic_score_codex":0.000581803,"about_ca_topic_score_gemma":0.0007318004,"teacher_disagreement_score":0.0026990229,"about_ca_system_score_codex":0.0004621472,"about_ca_system_score_gemma":0.00046287486,"threshold_uncertainty_score":0.00902909},"labels":[],"label_agreement":null},{"id":"W4237953794","doi":"10.1109/iembs.1997.756819","title":"Measurement of myocardial conductivities with a four-electrode technique in the frequency domain","year":2002,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrode; Transverse plane; Subthreshold conduction; Bidomain model; Materials science; Anisotropy; Conductivity; Optics; Physics; Voltage; Anatomy; Transistor","score_opus":0.01917221884630623,"score_gpt":0.17949580343778876,"score_spread":0.16032358459148252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237953794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54837024,0.00077450863,0.4485201,0.00009326489,0.000032038413,0.00007469507,0.00029310025,0.0003264809,0.0015155489],"genre_scores_gemma":[0.77472854,0.0007478406,0.22273268,0.00003138699,0.000014767728,0.00014920824,0.00024041854,0.000034597742,0.0013204489],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984765,0.00003899309,0.000009727014,0.000040422925,0.000049262933,0.000013932508],"domain_scores_gemma":[0.99973994,0.00011403392,0.000044713088,0.000042875836,0.000038937906,0.000019434403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027700092,0.00024944718,0.00022819795,0.00041606135,0.00015296512,0.0002131138,0.00031436753,0.00037355607,0.00062341354],"category_scores_gemma":[0.0005275948,0.00015046766,0.00014477262,0.00029922012,0.00027330132,0.00036036977,0.00019738686,0.00031148203,0.00017566013],"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":[0.000053229967,0.000009719641,0.0002658624,0.000024300874,0.000006908716,0.000023805007,0.000017422726,0.00056753017,0.9950171,0.00033155593,0.000024123956,0.003658355],"study_design_scores_gemma":[0.00002343346,0.00036144682,0.006277513,0.0000056539197,0.000034229324,0.0005905563,0.000038132872,0.03826226,0.951456,0.0010828085,0.0018342606,0.00003364367],"about_ca_topic_score_codex":0.00032325953,"about_ca_topic_score_gemma":0.00038582977,"teacher_disagreement_score":0.00062341354,"about_ca_system_score_codex":0.00017780226,"about_ca_system_score_gemma":0.00010728837,"threshold_uncertainty_score":0.002085507},"labels":[],"label_agreement":null},{"id":"W4239884404","doi":"10.22215/etd/2016-11611","title":"Geophysical Applications of Electrical Impedance Tomography","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Electrical resistivity tomography; Computer science; Tomography; Geophysics; Correctness; Electrical impedance; Geology; Landslide; Remote sensing; Electrical resistivity and conductivity; Engineering; Geotechnical engineering; Electrical engineering; Algorithm; Physics","score_opus":0.0023804457175789734,"score_gpt":0.20464760054997902,"score_spread":0.20226715483240004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239884404","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022301609,0.10375301,0.49770638,0.020286024,0.002538084,0.00019259907,0.0010459688,0.0017396989,0.35043666],"genre_scores_gemma":[0.47938156,0.1924816,0.23576331,0.0027541718,0.0027764086,0.00026583494,0.0010381239,0.00043372222,0.08510521],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992798,0.00015328784,0.000034978195,0.00010473099,0.00038090022,0.000046226294],"domain_scores_gemma":[0.99893636,0.00042834386,0.00007970763,0.00013207806,0.00035457572,0.000068894034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006488539,0.0007340222,0.0004973398,0.001549236,0.00058728765,0.001905467,0.0005732682,0.0013168161,0.0080356235],"category_scores_gemma":[0.0028542532,0.00030118265,0.00040128647,0.0033933406,0.0010565066,0.0017131119,0.0020328553,0.001541085,0.002399246],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008926687,0.000094182964,0.0063631884,0.0015568202,0.000084360116,0.0012467599,0.0011310392,0.022921816,0.04335444,0.21309577,0.044601895,0.66546047],"study_design_scores_gemma":[0.000020655945,0.000106433865,0.004507936,0.00060665683,0.00004685268,0.0026665423,0.0010112234,0.019960625,0.01980177,0.19236813,0.7588258,0.000077422315],"about_ca_topic_score_codex":0.00063426513,"about_ca_topic_score_gemma":0.0006985502,"teacher_disagreement_score":0.0080356235,"about_ca_system_score_codex":0.0005172227,"about_ca_system_score_gemma":0.00066348986,"threshold_uncertainty_score":0.026881874},"labels":[],"label_agreement":null},{"id":"W4240584899","doi":"10.32920/ryerson.14662995","title":"Using electrical resistance tomography (ERT) and computational fluid dynamics (CFD) to study the mixing of yield-pseudoplastic fluids in the SMX static mixer","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Toronto Metropolitan University","funders":"","keywords":"Computational fluid dynamics; Pressure drop; Shear thinning; Mixing (physics); Newtonian fluid; Fluid dynamics; Herschel–Bulkley fluid; Rheology; Mechanics; Materials science; Viscosity; Volumetric flow rate; Composite material; Physics","score_opus":0.021039798878116692,"score_gpt":0.2504431302388488,"score_spread":0.2294033313607321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240584899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5655249,0.0035756484,0.42501277,0.0004313409,0.0001911744,0.00017584933,0.00012041722,0.00038796954,0.004579923],"genre_scores_gemma":[0.81062466,0.0018530834,0.18525968,0.000106552136,0.00004836132,0.00009430152,0.00011810139,0.000050613344,0.00184462],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995441,0.000109375775,0.000041485313,0.00007470648,0.00020530875,0.000025018593],"domain_scores_gemma":[0.999226,0.00041134583,0.00015397492,0.000064051885,0.00011821135,0.00002639023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012249086,0.00061220035,0.00054231106,0.00082607416,0.00027860544,0.0009210329,0.00034636355,0.000794958,0.0006545509],"category_scores_gemma":[0.002426736,0.00031421141,0.00043717746,0.00071674486,0.000719772,0.0014562412,0.0005940095,0.00058847724,0.00015851963],"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":[0.0004998669,0.00011429346,0.007140729,0.0004236021,0.000035886053,0.00048265862,0.00027719527,0.03195707,0.8852052,0.0039922805,0.00017884908,0.069692455],"study_design_scores_gemma":[0.000036998033,0.00060541806,0.005310197,0.000046303412,0.00006190877,0.0009091913,0.00016088941,0.20438007,0.7828199,0.0007225459,0.004877834,0.00006884118],"about_ca_topic_score_codex":0.0004137507,"about_ca_topic_score_gemma":0.00055653666,"teacher_disagreement_score":0.0012249086,"about_ca_system_score_codex":0.00032860087,"about_ca_system_score_gemma":0.0004610746,"threshold_uncertainty_score":0.0064780116},"labels":[],"label_agreement":null},{"id":"W4240893659","doi":"10.22215/etd/2012-06720","title":"Role of transthoracic impedance on the success of electrical synchronized cardioversion","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Electrical and Bioimpedance Tomography","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; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Electrical cardioversion; Electrical engineering; Humanities; Engineering; Cardioversion; Art; Medicine; Cardiology; Atrial fibrillation","score_opus":0.003996007054515237,"score_gpt":0.20904780289855,"score_spread":0.20505179584403474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240893659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97867537,0.006034108,0.002277454,0.0010508307,0.00014689862,0.000025432673,0.00021337126,0.000057107616,0.011519444],"genre_scores_gemma":[0.998406,0.0006872212,0.00019957159,0.000049827184,0.00008985493,0.000004235011,0.00004330217,0.00001872578,0.00050117914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879444,0.0005063127,0.00015259685,0.00017683538,0.00024008272,0.00012968424],"domain_scores_gemma":[0.97343487,0.021332664,0.0019759862,0.0013131321,0.0007484378,0.0011949091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001850476,0.00025286473,0.0005172892,0.00045269693,0.00017382782,0.0016368617,0.0002874879,0.00074691285,0.0065979925],"category_scores_gemma":[0.028485173,0.00015790579,0.00027148443,0.00028227456,0.00080302724,0.000915879,0.0006099415,0.0008314411,0.0010454357],"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":[0.018109834,0.00044762634,0.6914756,0.00029465146,0.00050464354,0.0022680317,0.0008597837,0.002747483,0.02829,0.0018559322,0.0012670173,0.25187942],"study_design_scores_gemma":[0.00015121256,0.0033934042,0.97376245,0.00017681373,0.00039734895,0.0036804785,0.0004984609,0.005741331,0.008499132,0.001182542,0.0024694144,0.000047365822],"about_ca_topic_score_codex":0.000289299,"about_ca_topic_score_gemma":0.00041787646,"teacher_disagreement_score":0.0065979925,"about_ca_system_score_codex":0.000366516,"about_ca_system_score_gemma":0.00031397783,"threshold_uncertainty_score":0.022072494},"labels":[],"label_agreement":null},{"id":"W4241132261","doi":"10.32920/ryerson.14662842","title":"Using electrical resistance tomography to characterize and optimize the mixing of micron sized polymeric particles in a slurry reactor","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Impeller; Homogeneity (statistics); Materials science; Slurry; Mixing (physics); Rotational speed; Slip factor; Agitator; Suspension (topology); Composite material; Flocculation; Chemical engineering; Chromatography; Mechanical engineering; Chemistry; Engineering; Mathematics","score_opus":0.019110716832374225,"score_gpt":0.22869896386432104,"score_spread":0.2095882470319468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241132261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9175356,0.0005832327,0.08043292,0.00012888742,0.000015267951,0.000043506745,0.00009223598,0.00024623697,0.00092193205],"genre_scores_gemma":[0.94727224,0.00037931214,0.051616956,0.000033689874,0.000006501028,0.000043126183,0.00008204589,0.00003429225,0.0005317479],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99972564,0.00005780887,0.000022761133,0.000059468588,0.00011148681,0.000022871582],"domain_scores_gemma":[0.99966276,0.00015138178,0.000095751486,0.000022962871,0.00005527942,0.000011957897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046298164,0.0003003697,0.00029539134,0.0002499183,0.000107783344,0.00047810332,0.00024688896,0.00039812675,0.0002887099],"category_scores_gemma":[0.0007894615,0.00018917695,0.00022794832,0.00027233656,0.00022966738,0.0007107009,0.00022299775,0.0004163621,0.00015859523],"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":[0.000040685016,0.000017182703,0.00047055117,0.000033438573,0.0000028737206,0.00003124776,0.000014749983,0.0007530215,0.9949555,0.00006387748,0.00001708877,0.003599754],"study_design_scores_gemma":[0.0000067025057,0.00018029816,0.0014835428,0.000002766311,0.000008832808,0.00006310094,0.000031577336,0.015867254,0.98190916,0.000039964878,0.00040022758,0.0000066481966],"about_ca_topic_score_codex":0.00026379206,"about_ca_topic_score_gemma":0.00041227762,"teacher_disagreement_score":0.00047810332,"about_ca_system_score_codex":0.00024909616,"about_ca_system_score_gemma":0.0001829825,"threshold_uncertainty_score":0.0024484992},"labels":[],"label_agreement":null},{"id":"W4241443152","doi":"10.32920/ryerson.14662995.v1","title":"Using electrical resistance tomography (ERT) and computational fluid dynamics (CFD) to study the mixing of yield-pseudoplastic fluids in the SMX static mixer","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Toronto Metropolitan University","funders":"","keywords":"Computational fluid dynamics; Pressure drop; Shear thinning; Mixing (physics); Fluid dynamics; Newtonian fluid; Herschel–Bulkley fluid; Mechanics; Rheology; Materials science; Viscosity; Volumetric flow rate; Composite material; Physics","score_opus":0.021039798878116692,"score_gpt":0.2504431302388488,"score_spread":0.2294033313607321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241443152","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5655249,0.0035756484,0.42501277,0.0004313409,0.0001911744,0.00017584933,0.00012041722,0.00038796954,0.004579923],"genre_scores_gemma":[0.81062466,0.0018530834,0.18525968,0.000106552136,0.00004836132,0.00009430152,0.00011810139,0.000050613344,0.00184462],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995441,0.000109375775,0.000041485313,0.00007470648,0.00020530875,0.000025018593],"domain_scores_gemma":[0.999226,0.00041134583,0.00015397492,0.000064051885,0.00011821135,0.00002639023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012249086,0.00061220035,0.00054231106,0.00082607416,0.00027860544,0.0009210329,0.00034636355,0.000794958,0.0006545509],"category_scores_gemma":[0.002426736,0.00031421141,0.00043717746,0.00071674486,0.000719772,0.0014562412,0.0005940095,0.00058847724,0.00015851963],"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":[0.0004998669,0.00011429346,0.007140729,0.0004236021,0.000035886053,0.00048265862,0.00027719527,0.03195707,0.8852052,0.0039922805,0.00017884908,0.069692455],"study_design_scores_gemma":[0.000036998033,0.00060541806,0.005310197,0.000046303412,0.00006190877,0.0009091913,0.00016088941,0.20438007,0.7828199,0.0007225459,0.004877834,0.00006884118],"about_ca_topic_score_codex":0.0004137507,"about_ca_topic_score_gemma":0.00055653666,"teacher_disagreement_score":0.0012249086,"about_ca_system_score_codex":0.00032860087,"about_ca_system_score_gemma":0.0004610746,"threshold_uncertainty_score":0.0064780116},"labels":[],"label_agreement":null},{"id":"W4242061192","doi":"10.32920/ryerson.14668212","title":"Monitoring electric field induced changes in biological tissues and phantoms using ultrasound","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Toronto Metropolitan University","funders":"","keywords":"Electric field; SIGNAL (programming language); Amplitude; Root mean square; Materials science; Noise (video); Signal-to-noise ratio (imaging); Field (mathematics); Biomedical engineering; Nuclear magnetic resonance; Modulation (music); Acoustics; Optics; Biological system; Physics; Computer science; Mathematics; Medicine","score_opus":0.04210823956751433,"score_gpt":0.2764690637485389,"score_spread":0.23436082418102458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242061192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93444353,0.0017236575,0.061938573,0.00009129127,0.000040427167,0.000060560535,0.00009992241,0.00024186839,0.0013600786],"genre_scores_gemma":[0.96659744,0.00095900195,0.030615536,0.0000859161,0.000024625895,0.00007765835,0.00013264235,0.000043801,0.0014634047],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997975,0.00006291923,0.000010886319,0.000048998925,0.000057508223,0.00002213248],"domain_scores_gemma":[0.99957174,0.0002404509,0.00008094676,0.000032155007,0.000047143076,0.000027515312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004811307,0.0003992917,0.00022713258,0.0003830808,0.000112893904,0.00028273003,0.00022531599,0.00037101048,0.0006685392],"category_scores_gemma":[0.0011297313,0.00017659286,0.00012878784,0.00024603336,0.00055101875,0.00039282514,0.00030138085,0.00021669772,0.00013039613],"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":[0.000046952635,0.000008232655,0.000215902,0.00003392101,0.0000030502222,0.00003334715,0.000037112703,0.00022477956,0.9981177,0.00005399527,0.000011006346,0.0012139804],"study_design_scores_gemma":[0.000009794665,0.00051701657,0.006528538,0.000011257808,0.000019944277,0.00045542326,0.000092259936,0.0053224675,0.98598355,0.00018985309,0.00085461186,0.000015273648],"about_ca_topic_score_codex":0.00019556297,"about_ca_topic_score_gemma":0.00024727153,"teacher_disagreement_score":0.0006685392,"about_ca_system_score_codex":0.00013288332,"about_ca_system_score_gemma":0.00011279383,"threshold_uncertainty_score":0.0025444627},"labels":[],"label_agreement":null},{"id":"W4243130204","doi":"10.32920/ryerson.14648676","title":"Mixing characteristics of draft tube airlift bioreactor using the electrical resistance tomography","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Sparging; Mixing (physics); Mechanics; Newtonian fluid; Non-Newtonian fluid; Airlift; Draft tube; Materials science; Chemistry; Tube (container); Shear thinning; Shear rate; Rheology; Thermodynamics; Bioreactor; Composite material; Physics","score_opus":0.011475600215146231,"score_gpt":0.21829825838064176,"score_spread":0.20682265816549553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243130204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96956134,0.00047649138,0.029082822,0.000073775234,0.000018689485,0.000032124695,0.0001812101,0.00014509102,0.00042842244],"genre_scores_gemma":[0.97003055,0.00061797135,0.027901502,0.000037085952,0.0000148970785,0.000047595513,0.0003178066,0.000043049764,0.0009894805],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963474,0.00006414731,0.00003452958,0.000078193225,0.00015731169,0.000030996336],"domain_scores_gemma":[0.99935144,0.00021066873,0.00019282647,0.000036740454,0.00017072257,0.00003759208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006430663,0.00042118746,0.00039793397,0.0003615999,0.00017884882,0.00047401653,0.00027590498,0.0004398874,0.00060371857],"category_scores_gemma":[0.0011306787,0.00013960719,0.00033252564,0.0003576451,0.00022636745,0.00051236874,0.00032193985,0.00038079263,0.00019156368],"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":[0.0001327981,0.000019859253,0.0012073193,0.000036987396,0.0000030475837,0.00003066518,0.000059661255,0.00028073197,0.99402785,0.000025609601,0.000015278969,0.004160109],"study_design_scores_gemma":[0.0000053186022,0.00060457515,0.010662353,0.0000064087876,0.000027465832,0.00012083204,0.0000959194,0.011208828,0.9766716,0.00003480935,0.0005377657,0.000024102786],"about_ca_topic_score_codex":0.0006293785,"about_ca_topic_score_gemma":0.0005760089,"teacher_disagreement_score":0.0006430663,"about_ca_system_score_codex":0.00023092733,"about_ca_system_score_gemma":0.00022539894,"threshold_uncertainty_score":0.0034008622},"labels":[],"label_agreement":null},{"id":"W4244411959","doi":"10.32920/ryerson.14645163.v1","title":"Using electrical resistance tomography (ERT) and computational fluid dynamics (CFD) to study the mixing of pseudoplastic fluids with a SCABA 6SRGT impeller","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Toronto Metropolitan University","funders":"","keywords":"Impeller; Computational fluid dynamics; Mixing (physics); Mechanics; Shear thinning; Materials science; Agitator; Slip factor; Fluid dynamics; Fluent; Axial compressor; Mechanical engineering; Engineering; Rheology; Physics; Composite material","score_opus":0.012063176955178442,"score_gpt":0.2307121574749186,"score_spread":0.21864898051974016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244411959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.732422,0.00062481966,0.26300812,0.00018323779,0.00003222132,0.0000655951,0.000093984934,0.000739082,0.0028309156],"genre_scores_gemma":[0.9061825,0.0003231834,0.09225205,0.000022329383,0.000008519208,0.00004737727,0.00007389248,0.000031168856,0.0010588189],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978167,0.000047710528,0.000013896783,0.00003895112,0.0000981428,0.000019613179],"domain_scores_gemma":[0.9995596,0.00024619253,0.00008470927,0.00004077844,0.00005547576,0.000013216089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041127115,0.00033686464,0.00025159665,0.0004938478,0.0001714744,0.00040543693,0.00029909462,0.0005965266,0.0006152097],"category_scores_gemma":[0.00096336554,0.00021859213,0.00032537253,0.00047116945,0.0004478197,0.0007113961,0.00030464205,0.00029094255,0.00013182573],"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":[0.00029808297,0.00010590877,0.0125970375,0.00021815185,0.000028862043,0.0005762343,0.00025651662,0.1945457,0.7217918,0.0027783702,0.00027307158,0.06653028],"study_design_scores_gemma":[0.000024043266,0.0002862484,0.009419256,0.000015023352,0.000021335023,0.00046254866,0.00008853096,0.7452326,0.24061361,0.0004428167,0.0033478185,0.00004614324],"about_ca_topic_score_codex":0.0015136992,"about_ca_topic_score_gemma":0.0014030382,"teacher_disagreement_score":0.0015136992,"about_ca_system_score_codex":0.00038016168,"about_ca_system_score_gemma":0.00039278134,"threshold_uncertainty_score":0.0030097961},"labels":[],"label_agreement":null},{"id":"W4245114191","doi":"10.1515/iupac.79.1050","title":"Concentration–Effect Curve","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Electrical and Bioimpedance Tomography","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 Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Hazard; Toxicology; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","score_opus":0.005686315901196259,"score_gpt":0.3283111331451275,"score_spread":0.3226248172439312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245114191","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00052022486,0.0012085593,0.0006319572,0.00014966281,0.00012442913,0.000087857035,0.9952253,0.0006426438,0.0014092402],"genre_scores_gemma":[0.0038066832,0.0009558727,0.0017773008,0.00038081393,0.00009130657,0.0004426795,0.9900457,0.00019318378,0.0023065154],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99628615,0.0005305072,0.0006277684,0.0016135231,0.0007339153,0.00020819643],"domain_scores_gemma":[0.9918617,0.0037242123,0.00097425777,0.0014079218,0.0018210403,0.0002108906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038101117,0.0027713925,0.0034945104,0.0055234367,0.00052393775,0.0034133792,0.0035368085,0.0028370009,0.068144724],"category_scores_gemma":[0.024001982,0.000670378,0.005087714,0.005529855,0.00047114768,0.0021701097,0.0013259104,0.002555036,0.075003825],"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":[0.0009999054,0.00019623536,0.010807752,0.007273048,0.0011456567,0.00008877302,0.000027953869,0.0037557886,0.00048578976,0.0014238036,0.9337983,0.03999715],"study_design_scores_gemma":[0.0012204844,0.00025937072,0.022373926,0.0015788774,0.0010355781,0.000488042,0.00005594172,0.0045810128,0.0014194708,0.005986879,0.96083957,0.00016088069],"about_ca_topic_score_codex":0.010762572,"about_ca_topic_score_gemma":0.014540955,"teacher_disagreement_score":0.068144724,"about_ca_system_score_codex":0.0020434551,"about_ca_system_score_gemma":0.0025666445,"threshold_uncertainty_score":0.22796679},"labels":[],"label_agreement":null},{"id":"W4245512308","doi":"10.22215/etd/2012-06812","title":"Optimal PEEP settings in mechanical ventilation using EIT","year":2012,"lang":"ur","type":"dissertation","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University; Canadian Heritage; Toronto Metropolitan University; Library and Archives Canada","funders":"Intel Corporation","keywords":"Physics; Humanities; Computer science; Philosophy","score_opus":0.012200255518202205,"score_gpt":0.25194894892971664,"score_spread":0.23974869341151445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245512308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7045448,0.024032203,0.24928388,0.001937922,0.00062983914,0.000483961,0.00048520716,0.001253735,0.017348565],"genre_scores_gemma":[0.9733353,0.0021192327,0.022692012,0.00025752487,0.000077512064,0.000119610195,0.000099921854,0.00011929668,0.0011795324],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955004,0.00012683135,0.00005632638,0.00007399657,0.00013348542,0.00005923707],"domain_scores_gemma":[0.999463,0.00033514146,0.0000626281,0.000030167652,0.00007261857,0.000036478013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072668795,0.00034761016,0.00047256178,0.00034952222,0.0002332319,0.0012196997,0.000516431,0.0005143733,0.0023084087],"category_scores_gemma":[0.0030468714,0.00025306034,0.00019059188,0.00022247747,0.000292008,0.0007696999,0.0006092884,0.0005626069,0.00067245535],"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":[0.0086132875,0.000648635,0.016311092,0.00093578635,0.00013094197,0.000717714,0.00049559615,0.033666484,0.37959814,0.0020876385,0.0039597116,0.5528351],"study_design_scores_gemma":[0.0005274965,0.006472565,0.062151138,0.00080934446,0.00032393655,0.002320333,0.0006995194,0.18207422,0.71398777,0.0040229848,0.026417293,0.00019334134],"about_ca_topic_score_codex":0.00039142542,"about_ca_topic_score_gemma":0.0006668609,"teacher_disagreement_score":0.0023084087,"about_ca_system_score_codex":0.00026773388,"about_ca_system_score_gemma":0.00040715662,"threshold_uncertainty_score":0.007722378},"labels":[],"label_agreement":null},{"id":"W4248701461","doi":"10.22215/etd/2012-06960","title":"2 1/2D finite element method for electrical impedance tomography considering the complete electrode model","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Electrical impedance tomography; Finite element method; Electrical impedance; Electrode; Electrical engineering; Physics; Engineering; Structural engineering; Quantum mechanics","score_opus":0.02065771594806018,"score_gpt":0.2741334092199575,"score_spread":0.25347569327189734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248701461","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003457914,0.00014752307,0.9921221,0.00010212039,0.000033934808,0.000029434103,0.00009964154,0.00022107769,0.003786234],"genre_scores_gemma":[0.26814908,0.0010324864,0.6983896,0.00029588302,0.00007311161,0.00061438436,0.0006542399,0.00037097887,0.030420316],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998498,0.0000490583,0.000008226166,0.000019445659,0.00006463516,0.000008834768],"domain_scores_gemma":[0.99983203,0.000085635875,0.000012753241,0.000018738598,0.000043452983,0.0000073641286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002528112,0.00047915606,0.0006037419,0.000410855,0.00018444043,0.00056383817,0.00079748343,0.0012503404,0.005390309],"category_scores_gemma":[0.00078322564,0.00041378167,0.00051784125,0.00032933758,0.0002982401,0.00069354236,0.00057593366,0.00059371325,0.0015441881],"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":[0.000051867202,0.000040986884,0.00034754694,0.00016409426,0.000032673077,0.0001598209,0.00010926657,0.9100289,0.014504371,0.022159109,0.002057674,0.05034371],"study_design_scores_gemma":[0.0000032915977,0.0000066095386,0.000036309848,0.0000078203675,0.0000026533771,0.00002371938,0.0000056176973,0.9967129,0.0004482821,0.001049433,0.0016998862,0.0000034526818],"about_ca_topic_score_codex":0.0027213166,"about_ca_topic_score_gemma":0.0035077462,"teacher_disagreement_score":0.005390309,"about_ca_system_score_codex":0.0003167647,"about_ca_system_score_gemma":0.00054485066,"threshold_uncertainty_score":0.018032432},"labels":[],"label_agreement":null},{"id":"W4248940309","doi":"10.32920/ryerson.14651730","title":"Visualisation of flow pattern and measurement of liquid distribution in a random packed column using electrical resistance tomography (ERT)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Toronto Metropolitan University","funders":"","keywords":"Volumetric flow rate; Flow (mathematics); Packed bed; Mechanics; Materials science; Flow velocity; Superficial velocity; Analytical Chemistry (journal); Chemistry; Physics; Chromatography","score_opus":0.016470396525398185,"score_gpt":0.22622012788696416,"score_spread":0.20974973136156597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248940309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8535891,0.0006776394,0.1438248,0.00016720398,0.000022552764,0.000054985743,0.00018171748,0.0005917097,0.00089027645],"genre_scores_gemma":[0.902854,0.00059510156,0.09510193,0.00013534377,0.000021201451,0.00007848134,0.000125353,0.00006599098,0.0010226329],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997354,0.00006812909,0.00001549409,0.00007785455,0.00007385546,0.000029162262],"domain_scores_gemma":[0.99947613,0.0002436188,0.00013724301,0.000034964924,0.000081773,0.000026260996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036421887,0.00032412115,0.00020163684,0.0005732043,0.00014366451,0.00037382005,0.00028519935,0.00040720575,0.000684793],"category_scores_gemma":[0.0008956361,0.00018031971,0.00014254896,0.00038284808,0.00042712645,0.000744424,0.00025776078,0.00036336988,0.00021761497],"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":[0.00008401134,0.000015592972,0.0016646388,0.000049822662,0.0000049800215,0.00010058678,0.000049620943,0.0002722822,0.99131095,0.00009514487,0.000035739635,0.0063166567],"study_design_scores_gemma":[0.000014205596,0.00042793626,0.0117460815,0.000011610181,0.000027149334,0.0007186767,0.00013021071,0.013836497,0.97220516,0.00013827678,0.0007177661,0.000026445461],"about_ca_topic_score_codex":0.00042216046,"about_ca_topic_score_gemma":0.00048521062,"teacher_disagreement_score":0.000684793,"about_ca_system_score_codex":0.00018199609,"about_ca_system_score_gemma":0.00017946259,"threshold_uncertainty_score":0.0022909045},"labels":[],"label_agreement":null},{"id":"W4251959863","doi":"10.32920/ryerson.14648676.v1","title":"Mixing characteristics of draft tube airlift bioreactor using the electrical resistance tomography","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Sparging; Mixing (physics); Mechanics; Non-Newtonian fluid; Draft tube; Newtonian fluid; Materials science; Tube (container); Airlift; Chemistry; Shear rate; Shear thinning; Viscosity; Bioreactor; Composite material; Physics","score_opus":0.011475600215146231,"score_gpt":0.21829825838064176,"score_spread":0.20682265816549553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251959863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96956134,0.00047649138,0.029082822,0.000073775234,0.000018689485,0.000032124695,0.0001812101,0.00014509102,0.00042842244],"genre_scores_gemma":[0.97003055,0.00061797135,0.027901502,0.000037085952,0.0000148970785,0.000047595513,0.0003178066,0.000043049764,0.0009894805],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99963474,0.00006414731,0.00003452958,0.000078193225,0.00015731169,0.000030996336],"domain_scores_gemma":[0.99935144,0.00021066873,0.00019282647,0.000036740454,0.00017072257,0.00003759208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006430663,0.00042118746,0.00039793397,0.0003615999,0.00017884882,0.00047401653,0.00027590498,0.0004398874,0.00060371857],"category_scores_gemma":[0.0011306787,0.00013960719,0.00033252564,0.0003576451,0.00022636745,0.00051236874,0.00032193985,0.00038079263,0.00019156368],"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":[0.0001327981,0.000019859253,0.0012073193,0.000036987396,0.0000030475837,0.00003066518,0.000059661255,0.00028073197,0.99402785,0.000025609601,0.000015278969,0.004160109],"study_design_scores_gemma":[0.0000053186022,0.00060457515,0.010662353,0.0000064087876,0.000027465832,0.00012083204,0.0000959194,0.011208828,0.9766716,0.00003480935,0.0005377657,0.000024102786],"about_ca_topic_score_codex":0.0006293785,"about_ca_topic_score_gemma":0.0005760089,"teacher_disagreement_score":0.0006430663,"about_ca_system_score_codex":0.00023092733,"about_ca_system_score_gemma":0.00022539894,"threshold_uncertainty_score":0.0034008622},"labels":[],"label_agreement":null},{"id":"W4254150792","doi":"10.32920/ryerson.14661018.v1","title":"Characterization of the mixing of wheat straw slurries through electrical resistance tomography (ERT)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Toronto Metropolitan University","funders":"","keywords":"Slurry; Straw; Materials science; Yield (engineering); Rheology; Impeller; Mixing (physics); Grinding; Composite material; Fiber; Electrical resistance and conductance; Pulp and paper industry; Agronomy; Mechanical engineering; Engineering","score_opus":0.007944225660577444,"score_gpt":0.19913406255568622,"score_spread":0.19118983689510877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254150792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97838026,0.00029174928,0.020182267,0.000053564145,0.000013261635,0.000024585905,0.00015691246,0.00011589446,0.00078139285],"genre_scores_gemma":[0.9858358,0.00021094392,0.012918567,0.000030048972,0.0000072238267,0.000022538288,0.00019768556,0.000039374103,0.0007379105],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998728,0.000013260082,0.000009003557,0.000036691712,0.00005049669,0.000017599586],"domain_scores_gemma":[0.9998161,0.00005444792,0.000050916893,0.000016312551,0.00004728037,0.000014948981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032707158,0.0003209402,0.00021583147,0.0004110605,0.00018813436,0.00042123866,0.00017392183,0.00038875593,0.00060900504],"category_scores_gemma":[0.00055428705,0.00017874193,0.00018297185,0.00034383865,0.0003027352,0.0004885519,0.00020251024,0.0003330104,0.00012138611],"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":[0.000037385158,0.0000072000744,0.0010220701,0.000020801072,0.0000031807706,0.00008765725,0.000061045,0.00026762811,0.99628204,0.00005101663,0.000020240093,0.0021397332],"study_design_scores_gemma":[0.0000068002355,0.00018592105,0.020406557,0.0000067010865,0.000015083458,0.00029276556,0.00020527758,0.01073261,0.9668308,0.00006970942,0.0012328736,0.000014885256],"about_ca_topic_score_codex":0.00050658255,"about_ca_topic_score_gemma":0.00072743004,"teacher_disagreement_score":0.00060900504,"about_ca_system_score_codex":0.00015046536,"about_ca_system_score_gemma":0.000105451494,"threshold_uncertainty_score":0.0020373464},"labels":[],"label_agreement":null},{"id":"W4256238560","doi":"10.32920/ryerson.14645163","title":"Using electrical resistance tomography (ERT) and computational fluid dynamics (CFD) to study the mixing of pseudoplastic fluids with a SCABA 6SRGT impeller","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Toronto Metropolitan University","funders":"","keywords":"Impeller; Computational fluid dynamics; Mechanics; Mixing (physics); Shear thinning; Materials science; Agitator; Fluid dynamics; Axial compressor; Slip factor; Fluent; Mechanical engineering; Rheology; Engineering; Physics; Composite material","score_opus":0.012063176955178442,"score_gpt":0.2307121574749186,"score_spread":0.21864898051974016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256238560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.732422,0.00062481966,0.26300812,0.00018323779,0.00003222132,0.0000655951,0.000093984934,0.000739082,0.0028309156],"genre_scores_gemma":[0.9061825,0.0003231834,0.09225205,0.000022329383,0.000008519208,0.00004737727,0.00007389248,0.000031168856,0.0010588189],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978167,0.000047710528,0.000013896783,0.00003895112,0.0000981428,0.000019613179],"domain_scores_gemma":[0.9995596,0.00024619253,0.00008470927,0.00004077844,0.00005547576,0.000013216089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041127115,0.00033686464,0.00025159665,0.0004938478,0.0001714744,0.00040543693,0.00029909462,0.0005965266,0.0006152097],"category_scores_gemma":[0.00096336554,0.00021859213,0.00032537253,0.00047116945,0.0004478197,0.0007113961,0.00030464205,0.00029094255,0.00013182573],"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":[0.00029808297,0.00010590877,0.0125970375,0.00021815185,0.000028862043,0.0005762343,0.00025651662,0.1945457,0.7217918,0.0027783702,0.00027307158,0.06653028],"study_design_scores_gemma":[0.000024043266,0.0002862484,0.009419256,0.000015023352,0.000021335023,0.00046254866,0.00008853096,0.7452326,0.24061361,0.0004428167,0.0033478185,0.00004614324],"about_ca_topic_score_codex":0.0015136992,"about_ca_topic_score_gemma":0.0014030382,"teacher_disagreement_score":0.0015136992,"about_ca_system_score_codex":0.00038016168,"about_ca_system_score_gemma":0.00039278134,"threshold_uncertainty_score":0.0030097961},"labels":[],"label_agreement":null},{"id":"W4283721456","doi":"10.1186/s44158-022-00059-2","title":"Correction: Expert opinion document: “Electrical impedance tomography: applications from the intensive care unit and beyond”","year":2022,"lang":"en","type":"erratum","venue":"Journal of Anesthesia Analgesia and Critical Care","topic":"Electrical and Bioimpedance Tomography","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":"McGill University","funders":"","keywords":"Electrical impedance tomography; Expert opinion; Medical physics; Intensive care unit; Tomography; Computer science; Medicine; Data science; Radiology; Intensive care medicine","score_opus":0.008314477715300094,"score_gpt":0.25303294717345887,"score_spread":0.24471846945815878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283721456","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000050680213,0.0017057902,0.0002827667,0.16539663,0.8298056,0.000023355167,0.00032217178,0.00009957419,0.0023133869],"genre_scores_gemma":[0.0026340615,0.005977627,0.0011893543,0.33905247,0.61039984,0.0001493623,0.00047330273,0.00030932625,0.039814588],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9905689,0.0018239,0.0014011479,0.0010991634,0.004328684,0.00077816466],"domain_scores_gemma":[0.93874705,0.016684536,0.0037092117,0.0022548519,0.036420114,0.0021842273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063354624,0.0019117849,0.002250227,0.0028056244,0.0031129464,0.0056020725,0.003660264,0.023537043,0.032711826],"category_scores_gemma":[0.10692591,0.001135702,0.0023219702,0.0018056589,0.003548489,0.0028180263,0.0024996614,0.022607516,0.031990383],"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":[0.000008102729,0.0000017404399,0.000017674929,0.000054996446,0.0000046102496,0.00012975809,0.000009764664,0.000009437739,0.00001429781,0.00014338139,0.99782324,0.0017829653],"study_design_scores_gemma":[0.00004556611,0.000010427277,0.00025912508,0.00062508526,0.000033947217,0.00058268075,0.00006224847,0.000088488865,0.00015789835,0.00088409695,0.9972222,0.000028192444],"about_ca_topic_score_codex":0.014091728,"about_ca_topic_score_gemma":0.017467255,"teacher_disagreement_score":0.032711826,"about_ca_system_score_codex":0.0049999068,"about_ca_system_score_gemma":0.008844595,"threshold_uncertainty_score":0.10943198},"labels":[],"label_agreement":null},{"id":"W4283818612","doi":"10.3390/rs14133214","title":"A Rapid, Low-Cost, and High-Precision Multifrequency Electrical Impedance Tomography Data Acquisition System for Plant Phenotyping","year":2022,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Canada First Research Excellence Fund","keywords":"Electrical impedance tomography; Iterative reconstruction; Computer science; Data acquisition; Reconstruction algorithm; Electrical impedance; Tomography; Noise (video); Acoustics; Electronic engineering; Computer vision; Optics; Image (mathematics); Physics; Engineering; Electrical engineering","score_opus":0.016334900185833473,"score_gpt":0.22256986773235704,"score_spread":0.20623496754652357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283818612","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039035756,0.0002618245,0.9537963,0.00018773634,0.0000631631,0.00019997354,0.0008460475,0.004252168,0.001357058],"genre_scores_gemma":[0.140539,0.00028798613,0.85436636,0.00015164835,0.000029714012,0.0004678046,0.0011450577,0.00023569097,0.0027766984],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992306,0.000087491695,0.000056641336,0.00016743092,0.00042673142,0.000031032985],"domain_scores_gemma":[0.9992544,0.0001491081,0.00012551973,0.00016648116,0.00026389834,0.000040549243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086340425,0.0006078725,0.0006666905,0.00089172303,0.0003010658,0.0004977624,0.00084151374,0.00071809377,0.002677739],"category_scores_gemma":[0.0011500875,0.00035094496,0.00037290153,0.0009732567,0.00025499574,0.0008848609,0.00074587687,0.0006619516,0.0011399188],"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":[0.00011312175,0.000057966183,0.0020758342,0.0001889835,0.000022448477,0.00013376893,0.0001137171,0.002000569,0.9008505,0.0009794949,0.0021651771,0.091298416],"study_design_scores_gemma":[0.00009328897,0.00045555038,0.0213393,0.000057093876,0.00009322556,0.0018929926,0.00010711843,0.12165386,0.7934946,0.0011995065,0.059434313,0.00017915264],"about_ca_topic_score_codex":0.00053000235,"about_ca_topic_score_gemma":0.0013140636,"teacher_disagreement_score":0.002677739,"about_ca_system_score_codex":0.00038173,"about_ca_system_score_gemma":0.0005849654,"threshold_uncertainty_score":0.008957922},"labels":[],"label_agreement":null},{"id":"W4284990209","doi":"10.3390/plants11131713","title":"An In Situ Electrical Impedance Tomography Sensor System for Biomass Estimation of Tap Roots","year":2022,"lang":"en","type":"article","venue":"Plants","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Canada First Research Excellence Fund","keywords":"Electrical impedance tomography; Electrical impedance; Root mean square; Acoustics; Voltage; Biological system; Mean squared error; Electrical resistivity tomography; Materials science; Biomass (ecology); Environmental science; Electrical resistivity and conductivity; Mathematics; Engineering; Physics; Electrical engineering; Geology; Statistics","score_opus":0.007275928009012006,"score_gpt":0.2191797525573153,"score_spread":0.2119038245483033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284990209","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1660888,0.0010614904,0.8274059,0.00018248927,0.00019564579,0.00017962938,0.0010790011,0.0020199944,0.0017870081],"genre_scores_gemma":[0.53082865,0.001223187,0.46121126,0.00021862928,0.00005562319,0.00037975464,0.0008374206,0.0000924005,0.0051530446],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994869,0.00006374025,0.000034417175,0.00016192696,0.0002307336,0.000022119297],"domain_scores_gemma":[0.99968135,0.00007522859,0.000065509565,0.000041072788,0.00012458068,0.0000122578085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003800818,0.0007418865,0.00064021937,0.0005616415,0.00018318204,0.00038989852,0.0008844597,0.0008824743,0.0016349138],"category_scores_gemma":[0.0007255711,0.00025625236,0.00034914055,0.00072446256,0.0001638464,0.00080056937,0.00039423833,0.000517707,0.0006514604],"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":[0.000070548755,0.000029612573,0.0014264884,0.00016811484,0.00001686093,0.00007695992,0.00004301862,0.0010473019,0.9689388,0.00018945133,0.0003135866,0.027679304],"study_design_scores_gemma":[0.000025944837,0.00040886248,0.011648314,0.000025487023,0.0000939991,0.0007085217,0.00009465028,0.064630084,0.9131975,0.0004394573,0.008665857,0.0000613428],"about_ca_topic_score_codex":0.00046824882,"about_ca_topic_score_gemma":0.0012736486,"teacher_disagreement_score":0.0016349138,"about_ca_system_score_codex":0.00026187304,"about_ca_system_score_gemma":0.00026500027,"threshold_uncertainty_score":0.005469382},"labels":[],"label_agreement":null},{"id":"W4286561520","doi":"10.3389/fvets.2022.946911","title":"Thoracic Electrical Impedance Tomography—The 2022 Veterinary Consensus Statement","year":2022,"lang":"en","type":"review","venue":"Frontiers in Veterinary Science","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":28,"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":"Murdoch University","keywords":"Medicine; Electrical impedance tomography; Medical physics; Thoracic wall; Veterinary medicine; Radiology; Tomography","score_opus":0.04284359209855665,"score_gpt":0.3211698083009306,"score_spread":0.27832621620237397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286561520","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030768914,0.19669025,0.03227781,0.5522087,0.15520298,0.0017173677,0.0048873825,0.00056148664,0.053377073],"genre_scores_gemma":[0.04050063,0.295236,0.116060965,0.35356593,0.08603637,0.0071684374,0.028413339,0.0008831269,0.07213526],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.973245,0.0080449255,0.0075938962,0.0016638606,0.008095792,0.0013566093],"domain_scores_gemma":[0.92229015,0.014821661,0.0051841424,0.002110234,0.05125538,0.0043383488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0332558,0.0013095739,0.0018404716,0.0048396806,0.0023192666,0.0055247885,0.006096834,0.017010741,0.008474122],"category_scores_gemma":[0.06611199,0.0011538569,0.0033584626,0.0026021516,0.0031214221,0.0043559065,0.0049780537,0.011259648,0.01175455],"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":[0.000120099015,0.00007342947,0.0012034763,0.0054910583,0.00006893234,0.0006814306,0.0004045512,0.00071471435,0.0015260936,0.009041465,0.77517366,0.20550103],"study_design_scores_gemma":[0.000019833913,0.000047606183,0.0010276741,0.01168978,0.00004626297,0.001037564,0.00025772277,0.00018169518,0.00039840615,0.0037635537,0.98148924,0.00004071188],"about_ca_topic_score_codex":0.0055086156,"about_ca_topic_score_gemma":0.0050901524,"teacher_disagreement_score":0.0332558,"about_ca_system_score_codex":0.0040503964,"about_ca_system_score_gemma":0.018633688,"threshold_uncertainty_score":0.1758756},"labels":[],"label_agreement":null},{"id":"W4294975196","doi":"10.1109/embc48229.2022.9871840","title":"ATTENTIV: Instrumented Peripheral Catheter for the Detection of Catheter Dislodgement in IV Infiltration","year":2022,"lang":"en","type":"article","venue":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","topic":"Electrical and Bioimpedance Tomography","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 British Columbia","funders":"","keywords":"Infiltration (HVAC); Catheter; Biomedical engineering; Medicine; Radiology; Materials science","score_opus":0.022775377114138694,"score_gpt":0.2599350319573355,"score_spread":0.23715965484319684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294975196","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25386277,0.004724999,0.7273626,0.00096658577,0.00050432654,0.00049945834,0.00033624654,0.0070683016,0.004674694],"genre_scores_gemma":[0.7339522,0.0010395448,0.2597009,0.0010993466,0.00015901637,0.00018922618,0.00015958303,0.0002549782,0.0034452109],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99966025,0.000088387096,0.000019141906,0.00008836611,0.00012223527,0.000021490116],"domain_scores_gemma":[0.9991584,0.00035089793,0.00024769502,0.000060079783,0.00012935395,0.00005355897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000513027,0.0006541499,0.00030515945,0.00049809983,0.00015263875,0.0006193633,0.0007139453,0.00069813285,0.0018846152],"category_scores_gemma":[0.0017951218,0.00027506478,0.0001625362,0.00021668326,0.00042731664,0.00054203486,0.00043217372,0.00041934036,0.0004918885],"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":[0.0008758407,0.00018273953,0.008182456,0.0005238422,0.0000334926,0.0007689946,0.00019696617,0.00141144,0.8298295,0.0008135788,0.003085942,0.15409514],"study_design_scores_gemma":[0.00015667672,0.005074554,0.032326873,0.00019938397,0.0001968201,0.011183266,0.00012324711,0.0804044,0.84696347,0.00085820945,0.022381056,0.00013215211],"about_ca_topic_score_codex":0.00019703616,"about_ca_topic_score_gemma":0.00028031945,"teacher_disagreement_score":0.0018846152,"about_ca_system_score_codex":0.00021583888,"about_ca_system_score_gemma":0.00034960223,"threshold_uncertainty_score":0.0063046217},"labels":[],"label_agreement":null},{"id":"W4300716904","doi":"10.1016/j.ces.2022.118156","title":"Particle sedimentation models for a commercial lithium extraction process from brine","year":2022,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":5,"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 British Columbia","funders":"","keywords":"Sedimentation; Particle (ecology); Mechanics; Particle size; Brine; SCALE-UP; Process engineering; Materials science; Chemistry; Thermodynamics; Sediment; Chemical engineering; Engineering; Physics; Geology","score_opus":0.012297293022899777,"score_gpt":0.24211397866213416,"score_spread":0.22981668563923438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300716904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7924909,0.0008397956,0.18871666,0.0009780091,0.000111492336,0.00015535494,0.001180947,0.0005880519,0.014938853],"genre_scores_gemma":[0.97015274,0.00047209932,0.01096643,0.00007933475,0.000021411774,0.0001322877,0.0006339488,0.00011339009,0.017428406],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992263,0.000011938202,0.0000061564874,0.00002087991,0.000021726708,0.000016689071],"domain_scores_gemma":[0.99959856,0.00023175246,0.00004505968,0.00001563693,0.00008943779,0.000019507299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002987273,0.000485778,0.00054964604,0.0003918766,0.0005770389,0.00073609804,0.00076883164,0.0017194443,0.0017077854],"category_scores_gemma":[0.0009546707,0.0003224113,0.0008051624,0.0003335782,0.00029826572,0.0005818237,0.0003021415,0.0005599046,0.00050291524],"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":[0.00010012495,0.0000505028,0.0015345481,0.00005549759,0.000017201453,0.00009914871,0.00006470196,0.97999406,0.009537931,0.0040285564,0.00063762575,0.0038800617],"study_design_scores_gemma":[0.000010091837,0.000011570535,0.0003411712,0.0000031879842,0.000005111008,0.000008597647,0.000009215277,0.99753547,0.0015540249,0.00024640662,0.00026844803,0.0000067188953],"about_ca_topic_score_codex":0.061028127,"about_ca_topic_score_gemma":0.025485046,"teacher_disagreement_score":0.061028127,"about_ca_system_score_codex":0.0018188616,"about_ca_system_score_gemma":0.0012651586,"threshold_uncertainty_score":0.12134582},"labels":[],"label_agreement":null},{"id":"W4302028763","doi":"10.1002/vetr.2184","title":"Performance evaluation of electrode design and material for a large animal electrical impedance tomography belt","year":2022,"lang":"en","type":"article","venue":"Veterinary Record","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":6,"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":"Electrode; Electrical impedance tomography; Materials science; Biomedical engineering; Composite material; Galvanization; Electrical impedance; Medicine; Electrical engineering; Chemistry","score_opus":0.02685848395322218,"score_gpt":0.2541514822899046,"score_spread":0.2272929983366824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302028763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96933484,0.0006485535,0.028969556,0.00009894801,0.000056265275,0.0000911344,0.00013578522,0.00010949612,0.00055549],"genre_scores_gemma":[0.97911674,0.00021260545,0.02011746,0.00003228947,0.000007637197,0.000045742192,0.000086650994,0.000018003358,0.0003629468],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99949706,0.0001778955,0.000052058444,0.000104703024,0.000135347,0.00003285045],"domain_scores_gemma":[0.99849725,0.0007530775,0.00021965521,0.00015837052,0.0003125028,0.00005919195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086952606,0.00041056355,0.00024283846,0.00029871988,0.00011812819,0.00049303274,0.0005725144,0.0005428153,0.0008879835],"category_scores_gemma":[0.0032360188,0.00018324528,0.00019154907,0.00020781373,0.00023879408,0.0004252256,0.00029604658,0.00014603445,0.0002221057],"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":[0.0017510217,0.0001848623,0.00923445,0.0004509136,0.000053981366,0.00020706933,0.00013288847,0.011388521,0.9422523,0.00016843594,0.00020382111,0.033971805],"study_design_scores_gemma":[0.00022238192,0.019677425,0.03986993,0.00008905178,0.0003631284,0.0011236612,0.0004231781,0.07576722,0.85646975,0.00043178455,0.0054882234,0.000074253425],"about_ca_topic_score_codex":0.00031853205,"about_ca_topic_score_gemma":0.0006144819,"teacher_disagreement_score":0.0008879835,"about_ca_system_score_codex":0.00026978712,"about_ca_system_score_gemma":0.00016696533,"threshold_uncertainty_score":0.004598558},"labels":[],"label_agreement":null},{"id":"W4308749539","doi":"10.1007/s10544-022-00641-z","title":"Fast Sub-Hz potentiostatic/galvanostatic bio-impedance measurements using chaotic oscillators","year":2022,"lang":"en","type":"article","venue":"Biomedical Microdevices","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":3,"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 Calgary","funders":"","keywords":"Electrical impedance; Materials science; CMOS; Focused Impedance Measurement; Acoustics; Chaotic; 500 kHz; Analytical Chemistry (journal); Optoelectronics; Electrical engineering; Physics; Chemistry; Optics; Computer science; Engineering","score_opus":0.018205156126119146,"score_gpt":0.22469754438079043,"score_spread":0.20649238825467128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308749539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7938844,0.0012488278,0.19343653,0.0005364459,0.0002729999,0.00013195006,0.00075981667,0.0013381118,0.008390872],"genre_scores_gemma":[0.975202,0.00022232553,0.02254504,0.00008669117,0.000051853367,0.000041948908,0.000105683655,0.000051377177,0.0016929797],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99968624,0.000047672456,0.00001258799,0.0000615797,0.0001585868,0.000033303313],"domain_scores_gemma":[0.9996151,0.000226425,0.000029463074,0.000048503993,0.000057255926,0.000023381432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003126668,0.0003702627,0.00029907323,0.0003357553,0.00016529241,0.0003632485,0.0003534509,0.00048926374,0.0017021861],"category_scores_gemma":[0.00096978986,0.0002002539,0.000102440514,0.00029926005,0.00030150326,0.00053281453,0.0004430459,0.0004616404,0.00042307595],"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":[0.0002926755,0.000033693253,0.0010793317,0.000076822034,0.000014911704,0.000118488664,0.00014882912,0.00034800524,0.9727179,0.0005294714,0.00042965208,0.024210168],"study_design_scores_gemma":[0.000060626717,0.0002832028,0.011873889,0.000020476771,0.000036453454,0.00063924596,0.00013673339,0.022865938,0.9589601,0.0011093979,0.003980901,0.000033050153],"about_ca_topic_score_codex":0.0002163744,"about_ca_topic_score_gemma":0.0005135782,"teacher_disagreement_score":0.0017021861,"about_ca_system_score_codex":0.0001692798,"about_ca_system_score_gemma":0.00009303373,"threshold_uncertainty_score":0.0056943893},"labels":[],"label_agreement":null},{"id":"W4317910194","doi":"10.5194/jsss-12-21-2023","title":"Non-invasive blood sugar detection by cost-effective capacitance spectroscopy","year":2023,"lang":"en","type":"article","venue":"Journal of sensors and sensor systems","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Capacitance; Materials science; Biomedical engineering; Capacitive sensing; Sugar; Spectroscopy; Analytical Chemistry (journal); Optoelectronics; Electrode; Chemistry; Chromatography; Medicine; Electrical engineering; Biochemistry","score_opus":0.005540096084186724,"score_gpt":0.2000959092047619,"score_spread":0.19455581312057516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317910194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5264471,0.00934822,0.45718125,0.0011540896,0.0004622815,0.00023895681,0.0005304791,0.0007848452,0.003852722],"genre_scores_gemma":[0.8666139,0.0030952918,0.1266574,0.00038346034,0.00011636589,0.00011634702,0.00020343732,0.000044458724,0.002769374],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994615,0.00011607528,0.00001581747,0.00011221706,0.0002533756,0.000040920208],"domain_scores_gemma":[0.99947435,0.00024747747,0.0000877032,0.00003333209,0.00013297853,0.000024179712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004910642,0.0006623404,0.00035965708,0.000512398,0.00016568453,0.00038388968,0.00060716644,0.0006315663,0.0010214107],"category_scores_gemma":[0.0010504964,0.00024481284,0.0001852464,0.00060967385,0.0003162065,0.0007900662,0.00036067478,0.00041352006,0.0002658569],"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":[0.000076350865,0.000028270304,0.0004139713,0.000110516485,0.000010696604,0.00007668428,0.000020788655,0.00028553957,0.988658,0.00019400966,0.00024382184,0.00988129],"study_design_scores_gemma":[0.000026709611,0.0003633824,0.0031335931,0.000014764536,0.000038889542,0.0003916377,0.000039612347,0.014867997,0.97784173,0.0002218254,0.0030192644,0.00004059855],"about_ca_topic_score_codex":0.0006929134,"about_ca_topic_score_gemma":0.00147003,"teacher_disagreement_score":0.0010214107,"about_ca_system_score_codex":0.00039811854,"about_ca_system_score_gemma":0.00028389826,"threshold_uncertainty_score":0.0034169555},"labels":[],"label_agreement":null},{"id":"W4321268683","doi":"10.30970/eli.17.6","title":"IMPEDANCE SPECTROSCOPY FOR SQUARE WAVES ON INFINEON MICROCONTROLERS","year":2022,"lang":"en","type":"article","venue":"Electronics and Information Technologies","topic":"Electrical and Bioimpedance Tomography","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":"Infineon Technologies (Canada)","funders":"","keywords":"Dielectric spectroscopy; Square wave; Capacitance; Electrical impedance; Materials science; Resistor; Acoustics; Spectroscopy; Electrical engineering; Chemistry; Electrode; Engineering; Physics; Voltage","score_opus":0.0025584741476314945,"score_gpt":0.17798577933072143,"score_spread":0.17542730518308994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321268683","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026170667,0.003212147,0.90672237,0.0012616288,0.0020266331,0.00050325267,0.0013627677,0.016790036,0.041950468],"genre_scores_gemma":[0.3165654,0.0031636157,0.59728616,0.001905156,0.0004280945,0.0014279265,0.0022034505,0.0016639554,0.07535628],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996588,0.00033744497,0.00018514543,0.0005866138,0.0021395546,0.00016339899],"domain_scores_gemma":[0.9986802,0.0003695132,0.00014905285,0.00030435677,0.00045230164,0.0000446435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010600954,0.0013695668,0.000785955,0.001362457,0.00041880546,0.0012797255,0.0018843164,0.0011365169,0.02578719],"category_scores_gemma":[0.0028676086,0.0007241201,0.0004969344,0.0015173156,0.0005867028,0.002469245,0.0012571801,0.0017145127,0.0068433667],"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":[0.0006104986,0.00019174097,0.0011514864,0.0013062394,0.000077722856,0.0005269924,0.0005983326,0.0021839018,0.60188705,0.033628363,0.043382168,0.31445545],"study_design_scores_gemma":[0.00017873025,0.0007050317,0.0023478833,0.00026575738,0.00009467711,0.0014006528,0.00023044944,0.059050642,0.6042301,0.011842941,0.31945354,0.00019962127],"about_ca_topic_score_codex":0.00034248212,"about_ca_topic_score_gemma":0.0006308173,"teacher_disagreement_score":0.02578719,"about_ca_system_score_codex":0.00085052033,"about_ca_system_score_gemma":0.00036938375,"threshold_uncertainty_score":0.086266816},"labels":[],"label_agreement":null},{"id":"W4360991208","doi":"10.1149/1945-7111/acc7cf","title":"Electrical Impedance Spectroscopy Using a Wide-Band Signal Based on the Rudin-Shapiro Polynomials","year":2023,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Dielectric spectroscopy; Electrical impedance; SIGNAL (programming language); Sweep frequency response analysis; Range (aeronautics); Polynomial; Obstacle; Frequency band; Acoustics; Measure (data warehouse); Materials science; Signal processing; Biological system; Algorithm; Computer science; Physics; Electronic engineering; Mathematics; Electrical engineering; Mathematical analysis; Telecommunications; Electrochemistry; Digital signal processing; Electrode; Engineering; Bandwidth (computing)","score_opus":0.012056769408268813,"score_gpt":0.2262314210760692,"score_spread":0.2141746516678004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360991208","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36700237,0.0010793863,0.62565106,0.00034876127,0.00013350543,0.0000748432,0.00020363921,0.00086289906,0.004643581],"genre_scores_gemma":[0.86879325,0.0010477492,0.12690336,0.000112806505,0.000067640896,0.000051931365,0.000107916094,0.00005836217,0.002856935],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99969554,0.00006888593,0.000012184882,0.00007656119,0.00012498396,0.000021816672],"domain_scores_gemma":[0.9995795,0.00018234819,0.00008742906,0.000042657703,0.00009272852,0.000015295313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038606196,0.00048272684,0.00027260647,0.00056409807,0.00014134395,0.00036274444,0.0003562482,0.0005243834,0.0011178177],"category_scores_gemma":[0.0010541842,0.00012509561,0.00020845413,0.000752118,0.00035897113,0.0007658654,0.0003195248,0.0005298816,0.00048450215],"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":[0.00015463,0.000042848755,0.001026477,0.00019054764,0.000021864706,0.00020528308,0.00011696879,0.0021352782,0.9450271,0.0023816584,0.00025899505,0.048438232],"study_design_scores_gemma":[0.000023237986,0.0008321275,0.008607266,0.000030449397,0.000058335947,0.0014233316,0.00017259085,0.06497873,0.911522,0.0024198955,0.009862845,0.00006926494],"about_ca_topic_score_codex":0.00012326427,"about_ca_topic_score_gemma":0.00030803014,"teacher_disagreement_score":0.0011178177,"about_ca_system_score_codex":0.00014934373,"about_ca_system_score_gemma":0.000109076704,"threshold_uncertainty_score":0.0037394762},"labels":[],"label_agreement":null},{"id":"W4366594403","doi":"10.21203/rs.3.rs-2828854/v1","title":"Three-dimensional electrical impedance tomography (EIT) to study regional ventilation/perfusion (V/Q ) ratios in anesthetized pigs","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"College of Veterinary Medicine, Cornell University","keywords":"Electrical impedance tomography; Perfusion; Tomography; Nuclear medicine; Physics; Gold standard (test); Ventilation (architecture); High resolution; Medicine; Geology; Cardiology; Radiology; Optics","score_opus":0.05471225177853072,"score_gpt":0.3454742959949844,"score_spread":0.2907620442164537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366594403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7436734,0.0011851756,0.25299513,0.00022424135,0.00008225638,0.000109329456,0.00040243793,0.0003008822,0.0010272615],"genre_scores_gemma":[0.94888955,0.0009594362,0.04830066,0.00015748096,0.000031989443,0.00019988044,0.00021552766,0.00006803976,0.0011773095],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998141,0.000059232665,0.000010303966,0.000050191786,0.000045831162,0.000020372901],"domain_scores_gemma":[0.9997812,0.000073574396,0.000068138965,0.000032216663,0.000028515175,0.000016401897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078452576,0.00032162416,0.00030435147,0.0004926883,0.000084259416,0.00046114234,0.00021829784,0.0005307637,0.00060988014],"category_scores_gemma":[0.00065126544,0.0002472246,0.00026523738,0.0002467814,0.00042180627,0.00048125,0.0002649975,0.00040999986,0.00013703217],"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":[0.0005231537,0.00007181667,0.006064758,0.00009591051,0.00005157043,0.00025793724,0.00006972569,0.004369654,0.9676192,0.00024311327,0.00016354573,0.02046966],"study_design_scores_gemma":[0.00013370624,0.0040137037,0.09360633,0.00007527542,0.00032927244,0.0025075125,0.00029350142,0.11721861,0.77700204,0.0012531078,0.00343492,0.00013192085],"about_ca_topic_score_codex":0.0003147589,"about_ca_topic_score_gemma":0.00047635328,"teacher_disagreement_score":0.00078452576,"about_ca_system_score_codex":0.00016754567,"about_ca_system_score_gemma":0.00017589428,"threshold_uncertainty_score":0.0041490197},"labels":[],"label_agreement":null},{"id":"W4376116296","doi":"10.1016/j.electacta.2023.142527","title":"Tikhonov regularization for the deconvolution of capacitance from the voltage–charge response of electrochemical capacitors","year":2023,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":10,"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 Calgary","funders":"","keywords":"Capacitance; Tikhonov regularization; Capacitor; Deconvolution; Differential capacitance; Mathematical analysis; Electrical impedance; Capacitive sensing; Voltage; Time domain; Regularization (linguistics); Physics; Materials science; Mathematics; Inverse problem; Electrical engineering; Computer science; Electrode; Optics; Quantum mechanics; Engineering","score_opus":0.008040485107312176,"score_gpt":0.2016447218866453,"score_spread":0.19360423677933314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376116296","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015149241,0.0007516004,0.98065245,0.00073304045,0.000072401635,0.00003092954,0.000113808004,0.00028122842,0.0022152949],"genre_scores_gemma":[0.50713944,0.0022499259,0.46737775,0.0005537951,0.000274158,0.00035862706,0.000867523,0.00058004877,0.020598797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996716,0.00013992614,0.000016893522,0.0000382038,0.000099240846,0.00003413409],"domain_scores_gemma":[0.9987739,0.00079029356,0.000067167006,0.00010522264,0.00020941654,0.000054005217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018811837,0.00081139605,0.0006133804,0.00062254845,0.0003226053,0.0008245336,0.0009766672,0.0014892245,0.0014587743],"category_scores_gemma":[0.005218487,0.00040335406,0.0005521733,0.00070210954,0.0010842521,0.0011053828,0.0008669466,0.0016608229,0.0004475065],"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":[0.00042805914,0.00014098966,0.0005605163,0.00056535774,0.00012117556,0.0002126101,0.00024210634,0.55602324,0.0498004,0.28927743,0.008214297,0.094413884],"study_design_scores_gemma":[0.0000066706048,0.000005938869,0.00008419317,0.0000068671948,0.0000026890755,0.00001312927,0.0000074050604,0.9833845,0.0015100533,0.014320075,0.00065063755,0.000007815733],"about_ca_topic_score_codex":0.012640627,"about_ca_topic_score_gemma":0.010599233,"teacher_disagreement_score":0.012640627,"about_ca_system_score_codex":0.0013490822,"about_ca_system_score_gemma":0.0018116263,"threshold_uncertainty_score":0.025134087},"labels":[],"label_agreement":null},{"id":"W4383220389","doi":"10.1109/tbme.2023.3290472","title":"Improved Configurations for 3D Acoustoelectric Tomography With a Minimal Number of Electrodes","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Tomography; Electrode; Computed tomography; Materials science; Biomedical engineering; Acoustics; Computer science; Electrical engineering; Engineering; Physics; Optics; Medicine; Radiology","score_opus":0.005509975700312528,"score_gpt":0.21027424413739534,"score_spread":0.2047642684370828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383220389","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025312541,0.00022821863,0.9703077,0.0001787421,0.000041218922,0.00004358587,0.00011944334,0.0006600067,0.0031085128],"genre_scores_gemma":[0.3601774,0.00029735177,0.63636374,0.00011097457,0.000021003745,0.00019606427,0.00024427424,0.00013737577,0.0024518182],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999616,0.00011232211,0.00002180672,0.000066735876,0.00015921055,0.000023899845],"domain_scores_gemma":[0.99945015,0.00022840968,0.000084284366,0.00012740988,0.000080215446,0.000029670007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037932146,0.0007021841,0.0005184727,0.0004470518,0.00020529503,0.0007640892,0.0011283794,0.0011419534,0.00303643],"category_scores_gemma":[0.0017493406,0.0006161506,0.0006168458,0.00034710532,0.0004263643,0.00086376054,0.0010398984,0.00048758098,0.0013285803],"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":[0.00042904876,0.00016403713,0.0021665387,0.0003715341,0.00007558532,0.0011987556,0.00018414613,0.68213993,0.21690555,0.018127339,0.0026230603,0.07561443],"study_design_scores_gemma":[0.000051944982,0.00021103125,0.0006299533,0.000039423176,0.000034202712,0.0012212206,0.00003066698,0.94800663,0.038414553,0.004248929,0.00706479,0.00004671093],"about_ca_topic_score_codex":0.0005046964,"about_ca_topic_score_gemma":0.00069277966,"teacher_disagreement_score":0.00303643,"about_ca_system_score_codex":0.0004680634,"about_ca_system_score_gemma":0.0004932064,"threshold_uncertainty_score":0.010157883},"labels":[],"label_agreement":null},{"id":"W4384158756","doi":"10.1109/i2mtc53148.2023.10176086","title":"Observation of the Ultrasonic Vibration Potential with an Instrumented Coaxial Needle Probe","year":2023,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ultrasonic sensor; Ultrasound; Biomedical engineering; Acoustics; Vibration; SIGNAL (programming language); Computer science; Materials science; Medicine; Physics","score_opus":0.008965279805884529,"score_gpt":0.18434607591835472,"score_spread":0.1753807961124702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384158756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9102785,0.0008804863,0.08677517,0.000113602524,0.000061119375,0.0000790954,0.00014344115,0.00023183314,0.001436863],"genre_scores_gemma":[0.96269,0.00027935897,0.03622822,0.000038505408,0.000016532644,0.000033396507,0.00005090451,0.000012678615,0.000650498],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996952,0.000047156183,0.000015999954,0.00006879832,0.00014344737,0.000029430666],"domain_scores_gemma":[0.9994591,0.00018166755,0.00014976022,0.00004404185,0.00011933551,0.000046113757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023029979,0.00031556416,0.00019480386,0.0003968823,0.00014539834,0.00029088877,0.00034391912,0.00056884147,0.00072020944],"category_scores_gemma":[0.00086294155,0.00013248617,0.00013606487,0.0003211024,0.00042743213,0.00041459818,0.0003641543,0.00026117836,0.00018885793],"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":[0.00008737284,0.000009727314,0.000841896,0.000032474854,0.0000028629713,0.00008823575,0.000041822797,0.00015054362,0.9929397,0.000083344086,0.000024162164,0.005697901],"study_design_scores_gemma":[0.000019519824,0.0010911815,0.021809988,0.00001498845,0.000030243564,0.0011602221,0.00014977284,0.0097715175,0.96440923,0.00014289038,0.0013667564,0.000033745768],"about_ca_topic_score_codex":0.00041526707,"about_ca_topic_score_gemma":0.00045054188,"teacher_disagreement_score":0.00072020944,"about_ca_system_score_codex":0.00021517374,"about_ca_system_score_gemma":0.0001746797,"threshold_uncertainty_score":0.002409339},"labels":[],"label_agreement":null},{"id":"W4385614862","doi":"10.1016/j.matdes.2023.112227","title":"An EIT-based piezoresistive sensing skin with a lattice structure","year":2023,"lang":"en","type":"article","venue":"Materials & Design","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Materials science; Piezoresistive effect; Electronic skin; Electrical resistance and conductance; Composite number; Lattice (music); Wearable computer; Planar; Acoustics; Tactile sensor; Optoelectronics; Composite material; Biomedical engineering; Computer science; Artificial intelligence","score_opus":0.009443860007790668,"score_gpt":0.2050215638035044,"score_spread":0.19557770379571374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385614862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68547505,0.0027642418,0.30017802,0.0006227295,0.00048285263,0.00019263434,0.00043097668,0.0011733369,0.008680061],"genre_scores_gemma":[0.8133332,0.00090797094,0.18114108,0.0003010073,0.000049229486,0.00008294339,0.00012340522,0.000051389405,0.004009779],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998042,0.00003141999,0.00000931866,0.00006246907,0.00007610229,0.000016528458],"domain_scores_gemma":[0.9997329,0.00007223433,0.00006940457,0.000039561903,0.000057215948,0.000028667362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018775016,0.00030411102,0.00022787745,0.00026712473,0.000120223,0.00031883345,0.00046693685,0.0004346622,0.0007732239],"category_scores_gemma":[0.0005302593,0.00022783403,0.00019184737,0.00022394526,0.0003949909,0.00064581784,0.00033582235,0.00041458497,0.0004241784],"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":[0.00001575267,0.000010886611,0.00008593604,0.000047140777,0.0000025438098,0.00009657911,0.000012769537,0.000396583,0.99420303,0.00020680495,0.000059977858,0.0048620636],"study_design_scores_gemma":[0.000013850873,0.00025173416,0.00090410037,0.00001147438,0.000009701315,0.00085136894,0.00003097923,0.011557,0.9833565,0.0001961349,0.0027919214,0.000025175275],"about_ca_topic_score_codex":0.00013658823,"about_ca_topic_score_gemma":0.00032967058,"teacher_disagreement_score":0.0007732239,"about_ca_system_score_codex":0.00016409844,"about_ca_system_score_gemma":0.0001906893,"threshold_uncertainty_score":0.0025866628},"labels":[],"label_agreement":null},{"id":"W4386457369","doi":"10.3390/en16176410","title":"Water-Cut Measurement Techniques in Oil Production and Processing—A Review","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability (semiconductor); Computer science; Process engineering; Remote sensing; Environmental science; Systems engineering; Engineering; Geology; Power (physics)","score_opus":0.016014434625783662,"score_gpt":0.22010046528329189,"score_spread":0.20408603065750822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386457369","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00081177516,0.9901202,0.005783388,0.0002569626,0.00035678447,0.000020324069,0.00004072678,0.000033006214,0.0025768988],"genre_scores_gemma":[0.0051695737,0.9875295,0.0052347872,0.00020191606,0.00040303837,0.000027955562,0.00007192209,0.000015390662,0.0013459286],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920624,0.00008953238,0.000085880696,0.00017327379,0.0004033611,0.00004180321],"domain_scores_gemma":[0.99857175,0.00079355604,0.00017336287,0.000052385192,0.0003732952,0.000035644814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012974852,0.0012662925,0.0012228359,0.0038308802,0.00043911254,0.0013548544,0.0013591264,0.0016204317,0.002670282],"category_scores_gemma":[0.0015813329,0.00071166735,0.0007658628,0.004273093,0.000927032,0.0027699869,0.0008820733,0.0013425844,0.0018888805],"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":[0.00007214824,0.00011493062,0.0006807723,0.022082249,0.00008243754,0.00027590597,0.00017039398,0.0016638506,0.012964757,0.006551539,0.011252783,0.9440882],"study_design_scores_gemma":[0.000009207989,0.00034509125,0.0020856338,0.0049223923,0.00020184432,0.0031097885,0.00032399327,0.0024039773,0.019930054,0.004373922,0.96215755,0.00013652132],"about_ca_topic_score_codex":0.0013765955,"about_ca_topic_score_gemma":0.0013782831,"teacher_disagreement_score":0.0038308802,"about_ca_system_score_codex":0.000590483,"about_ca_system_score_gemma":0.0010437086,"threshold_uncertainty_score":0.008933008},"labels":[],"label_agreement":null},{"id":"W4386843334","doi":"10.1152/ajplung.00180.2023","title":"Three-dimensional electrical impedance tomography to study regional ventilation/perfusion ratios in anesthetized pigs","year":2023,"lang":"en","type":"article","venue":"American Journal of Physiology-Lung Cellular and Molecular Physiology","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"College of Veterinary Medicine, Cornell University","keywords":"Electrical impedance tomography; Perfusion; Ventilation (architecture); Anesthesia; Medicine; Tomography; Nuclear medicine; Cardiology; Radiology; Physics; Meteorology","score_opus":0.004971642827941176,"score_gpt":0.22130521117208188,"score_spread":0.2163335683441407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386843334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5934283,0.0023954085,0.40091825,0.0005589944,0.000100079,0.0001886472,0.00030263682,0.00027518524,0.0018324369],"genre_scores_gemma":[0.8623752,0.0025481964,0.13238153,0.00041532,0.000045850913,0.0003602662,0.00025204947,0.00006608951,0.00155547],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987304,0.000043075048,0.000010431152,0.000027189977,0.00003074852,0.00001540807],"domain_scores_gemma":[0.99982506,0.00007062186,0.000055651708,0.000018084616,0.000016312511,0.000014264014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067615986,0.00034046228,0.00020406845,0.0003799731,0.0000857329,0.0004220361,0.00024792404,0.0006788931,0.0005093696],"category_scores_gemma":[0.0006043297,0.00027688395,0.00023238374,0.000175822,0.00033508966,0.0005420209,0.0002888655,0.00057182554,0.00014252152],"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":[0.00047929035,0.00010069886,0.0059649614,0.00010742097,0.000032360567,0.00032253365,0.00006580555,0.0026606454,0.96625483,0.00042074564,0.00014041422,0.023450248],"study_design_scores_gemma":[0.00019216228,0.004746696,0.086050905,0.00012085152,0.00029734813,0.005721258,0.0003958529,0.09495357,0.7981783,0.0019069967,0.0072809677,0.0001551847],"about_ca_topic_score_codex":0.0001952775,"about_ca_topic_score_gemma":0.0003808057,"teacher_disagreement_score":0.0006788931,"about_ca_system_score_codex":0.00013643203,"about_ca_system_score_gemma":0.00022421019,"threshold_uncertainty_score":0.003575921},"labels":[],"label_agreement":null},{"id":"W4386920265","doi":"10.1109/sas58821.2023.10254182","title":"Data Augmentation Based on Inverse Transform Sampling for Improved Tissue Classification via Electrical Impedance Spectroscopy","year":2023,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance; Sampling (signal processing); Inverse; Dielectric spectroscopy; Computer science; Spectroscopy; Materials science; Artificial intelligence; Mathematics; Chemistry; Engineering; Physics; Computer vision; Electrical engineering","score_opus":0.05315229866007302,"score_gpt":0.3145472122443185,"score_spread":0.26139491358424544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386920265","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.112023704,0.00024478667,0.88557345,0.00019474635,0.000059402548,0.000054069664,0.00011471913,0.00083715236,0.0008978739],"genre_scores_gemma":[0.58141285,0.0003320256,0.41609517,0.00010992713,0.00005329739,0.000121071585,0.000652828,0.000088306784,0.001134583],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995968,0.00009723763,0.000029222383,0.00008256434,0.00016895973,0.00002524408],"domain_scores_gemma":[0.9990625,0.00043179866,0.0001041363,0.00014645154,0.00023100628,0.000024123367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008704043,0.00048491632,0.00041988978,0.00062823354,0.00017239393,0.00045137707,0.0004511689,0.00043747327,0.0005598494],"category_scores_gemma":[0.00283938,0.00017934969,0.0005214014,0.00065083546,0.00047445478,0.0007402417,0.00056264794,0.0005822639,0.00027648668],"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":[0.0006960999,0.00035333206,0.006058521,0.00019996683,0.00007181909,0.00025297469,0.00028475825,0.17961504,0.24821174,0.003748474,0.0016710549,0.5588362],"study_design_scores_gemma":[0.000010204957,0.00014737867,0.002061349,0.000009585709,0.000017243965,0.000174709,0.00002947163,0.9326901,0.06177166,0.0012889588,0.0017781645,0.000021162774],"about_ca_topic_score_codex":0.00071917067,"about_ca_topic_score_gemma":0.0009192173,"teacher_disagreement_score":0.0008704043,"about_ca_system_score_codex":0.00022852412,"about_ca_system_score_gemma":0.0003460327,"threshold_uncertainty_score":0.004603207},"labels":[],"label_agreement":null},{"id":"W4387587296","doi":"10.11159/jbeb.2023.005","title":"Realistic 3D CT-FEM for Target-based Multiple Organ Inclusive Studies","year":2023,"lang":"en","type":"article","venue":"Journal of Biomedical Engineering and Biosciences","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université de Sherbrooke","funders":"","keywords":"Finite element method; Computer science; Medicine; Engineering; Structural engineering","score_opus":0.012679395868871544,"score_gpt":0.25581867257592494,"score_spread":0.2431392767070534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387587296","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008796448,0.00038333668,0.98206574,0.00015118088,0.00007263041,0.00011096605,0.00036765926,0.00097070885,0.0070813727],"genre_scores_gemma":[0.44820803,0.0015329582,0.5370207,0.00037404298,0.000071259914,0.0008289307,0.0010996907,0.000829502,0.010034909],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971765,0.000067151974,0.000016801672,0.000031744377,0.0001478926,0.000018718594],"domain_scores_gemma":[0.99956566,0.00021908144,0.000044271434,0.000049438113,0.000095150885,0.000026267755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004541317,0.00066317606,0.00041249229,0.0006858406,0.0003199543,0.00091543625,0.000911851,0.001676833,0.0065311044],"category_scores_gemma":[0.0014432672,0.00047214577,0.00082279515,0.0005035508,0.00042530242,0.0004976312,0.0008912392,0.00064102677,0.0013254781],"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":[0.00006234537,0.000061673396,0.000992563,0.0002630386,0.000028208311,0.00035015232,0.00014921214,0.930496,0.021360975,0.0101345545,0.0030644694,0.033036876],"study_design_scores_gemma":[0.0000052799946,0.000020120851,0.00024702106,0.000035174045,0.000007885437,0.00015062313,0.000021581582,0.9890693,0.0024035547,0.0015866874,0.0064357254,0.000017160519],"about_ca_topic_score_codex":0.0022863029,"about_ca_topic_score_gemma":0.0023726805,"teacher_disagreement_score":0.0065311044,"about_ca_system_score_codex":0.0004299919,"about_ca_system_score_gemma":0.00093890954,"threshold_uncertainty_score":0.021848679},"labels":[],"label_agreement":null},{"id":"W4388598081","doi":"10.1016/j.rpth.2023.100931","title":"PB0131 Impedance Aggregometry in Elective Coronary Surgery: A Prospective Observational Trial","year":2023,"lang":"en","type":"article","venue":"Research and Practice in Thrombosis and Haemostasis","topic":"Electrical and Bioimpedance Tomography","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 British Columbia","funders":"","keywords":"Observational study; Medicine; Elective surgery; Cardiology; Internal medicine; Intensive care medicine; Surgery","score_opus":0.2548327557991956,"score_gpt":0.4318507089968232,"score_spread":0.1770179531976276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388598081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960342,0.0027491837,0.00015293078,0.00018679627,0.000063101215,0.0001024272,0.000354508,0.000007573305,0.00034927108],"genre_scores_gemma":[0.9972746,0.0011468759,0.00026618034,0.00019134516,0.00013850088,0.0001484324,0.0006850399,0.0000033310803,0.00014580892],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998538,0.00086217816,0.00012375417,0.00022993532,0.00014268502,0.00010334407],"domain_scores_gemma":[0.9957247,0.0017252908,0.0015073706,0.0002761492,0.00018224535,0.0005843626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023286075,0.00056696136,0.0013468432,0.00028207977,0.0002791883,0.0009977178,0.0004156986,0.0009406252,0.0021745109],"category_scores_gemma":[0.005018737,0.0004286877,0.001155865,0.0009057364,0.00055762334,0.0005198811,0.00042170452,0.0015959912,0.0002564178],"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":[0.35771558,0.0034013921,0.6146886,0.0010509433,0.0040449873,0.00020930132,0.00011057019,0.00045957716,0.0013169373,0.00018070765,0.001000525,0.015820926],"study_design_scores_gemma":[0.07689455,0.054832347,0.8564486,0.00031439698,0.0062608244,0.00041735647,0.00012555944,0.0026796372,0.00040815232,0.000353155,0.0012132516,0.000052229716],"about_ca_topic_score_codex":0.00074399426,"about_ca_topic_score_gemma":0.00074412464,"teacher_disagreement_score":0.0023286075,"about_ca_system_score_codex":0.00025481588,"about_ca_system_score_gemma":0.0007117202,"threshold_uncertainty_score":0.012314975},"labels":[],"label_agreement":null},{"id":"W4388619916","doi":"","title":"Dynamics of a fine and coarse sediment mixture using a medical CT scan","year":2017,"lang":"en","type":"preprint","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"Electrical and Bioimpedance Tomography","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":"Institut National de la Recherche Scientifique","funders":"","keywords":"Dynamics (music); Sediment; Computed tomography; Computer science; Geology; Artificial intelligence; Radiology; Geomorphology; Physics; Medicine","score_opus":0.03862278732045492,"score_gpt":0.3176726824213226,"score_spread":0.2790498951008677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388619916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9710684,0.00041517537,0.02279546,0.00027233138,0.000014958412,0.00015636453,0.0014636923,0.00022348981,0.0035902364],"genre_scores_gemma":[0.982131,0.0003433144,0.015826454,0.00006889123,0.000025322142,0.000024726687,0.00051525066,0.000038727678,0.0010262808],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999925,0.000009710768,0.000010472913,0.000016879396,0.000026846525,0.000011097345],"domain_scores_gemma":[0.999813,0.00005958273,0.000037102145,0.000013017894,0.000042265954,0.000035075183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020095568,0.00033504752,0.00015534426,0.0026535252,0.00022850647,0.0008268846,0.00020178859,0.0006097706,0.0020370996],"category_scores_gemma":[0.0009117772,0.00039920225,0.00024982943,0.0008585418,0.000236589,0.0003831831,0.00040321043,0.00022897341,0.0003768469],"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":[0.0022357383,0.000233304,0.39879495,0.0002697407,0.00019988861,0.008994664,0.00045487194,0.040721804,0.46817264,0.0010664108,0.0011692278,0.07768669],"study_design_scores_gemma":[0.000070299735,0.0003882156,0.7449043,0.00009347576,0.00028482775,0.011028605,0.00062597095,0.17133613,0.06764687,0.0009875174,0.0025168834,0.000117019554],"about_ca_topic_score_codex":0.004746745,"about_ca_topic_score_gemma":0.0049280985,"teacher_disagreement_score":0.004746745,"about_ca_system_score_codex":0.00025769442,"about_ca_system_score_gemma":0.00035219663,"threshold_uncertainty_score":0.009438217},"labels":[],"label_agreement":null},{"id":"W4388918137","doi":"10.1016/j.ifacol.2023.10.468","title":"Electrical Impedance Tomography Hardware with Demodulation","year":2023,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Electrical and Bioimpedance Tomography","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":"Ontario Tech University","funders":"","keywords":"Electrical impedance tomography; Synchronizer; Microcontroller; Demodulation; Computer science; Computer hardware; Electrical impedance; Current source; Electrical engineering; Electronic engineering; Current (fluid); Engineering; Telecommunications; Channel (broadcasting)","score_opus":0.006197407104735282,"score_gpt":0.1976618109456836,"score_spread":0.19146440384094832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388918137","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03781123,0.0006294481,0.9439008,0.0005686142,0.00042854072,0.0005972535,0.00037177745,0.0073785544,0.008313763],"genre_scores_gemma":[0.39921033,0.00084607047,0.5751165,0.0009447383,0.00022878373,0.0008251006,0.00069667277,0.0006493212,0.021482497],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990701,0.00011202099,0.000086234024,0.00021693356,0.0004608735,0.00005382202],"domain_scores_gemma":[0.99902797,0.0002347063,0.00008761747,0.0002523772,0.0003597373,0.000037560025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006019917,0.0006564069,0.0007121806,0.0008985389,0.00028741005,0.0013133211,0.0016445098,0.0007986683,0.01327638],"category_scores_gemma":[0.0026677689,0.00038519638,0.00029432285,0.0007105776,0.00034476133,0.0015031762,0.00093992014,0.000611308,0.0044875983],"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":[0.0008090695,0.00022201487,0.003784177,0.0009849817,0.00012493435,0.0006172964,0.00037962585,0.007466819,0.423594,0.014725036,0.011117414,0.5361746],"study_design_scores_gemma":[0.0003180687,0.0014617937,0.0058351206,0.00019571159,0.0002565233,0.00399435,0.0001351427,0.0906541,0.7353745,0.0040079327,0.15761107,0.0001557374],"about_ca_topic_score_codex":0.0003448154,"about_ca_topic_score_gemma":0.00027216968,"teacher_disagreement_score":0.01327638,"about_ca_system_score_codex":0.00056928705,"about_ca_system_score_gemma":0.00052371627,"threshold_uncertainty_score":0.044413865},"labels":[],"label_agreement":null},{"id":"W4391397159","doi":"10.1784/ndt2023.2c1","title":"Real-time capacitance imaging: a revolutionary NDT technique","year":2023,"lang":"en","type":"article","venue":"Proceedings of the Annual British Conference on Non-Destructive Testing","topic":"Electrical and Bioimpedance Tomography","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":"Nondestructive testing; Capacitance; Computer science; Physics","score_opus":0.011065632873544833,"score_gpt":0.20963713777918708,"score_spread":0.19857150490564224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391397159","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.078831695,0.023028396,0.8542167,0.008142515,0.0013425754,0.00021869692,0.0004126353,0.0021217451,0.031685047],"genre_scores_gemma":[0.45996872,0.011790746,0.50109565,0.0019301516,0.0009040173,0.00013054935,0.0002481068,0.00032070253,0.023611406],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989544,0.00011185324,0.000022844919,0.00022142,0.00060769526,0.00008168543],"domain_scores_gemma":[0.9993118,0.00023937697,0.00009960063,0.000076775235,0.00019445182,0.00007806329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009720974,0.0005613163,0.00033540768,0.0012269656,0.00032432296,0.0010924917,0.0011543939,0.00124872,0.0027175792],"category_scores_gemma":[0.0013023347,0.0004127395,0.00031906273,0.00071615836,0.001139057,0.0022173189,0.0010831656,0.0014202062,0.00066785555],"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":[0.00012559086,0.000044864068,0.0004245557,0.00033878937,0.000019308072,0.00043577503,0.00020884622,0.0009781832,0.8362822,0.013836071,0.0052141272,0.14209162],"study_design_scores_gemma":[0.00006584903,0.00024947192,0.0013952277,0.00006315367,0.000033915225,0.00326949,0.00013517299,0.026406273,0.8683698,0.003914086,0.09595152,0.00014592329],"about_ca_topic_score_codex":0.0011131061,"about_ca_topic_score_gemma":0.0012784566,"teacher_disagreement_score":0.0027175792,"about_ca_system_score_codex":0.0013495538,"about_ca_system_score_gemma":0.00048307874,"threshold_uncertainty_score":0.009791732},"labels":[],"label_agreement":null},{"id":"W4391465181","doi":"10.1088/1361-6579/ad252c","title":"Analysis of electrode arrangements for brain stroke diagnosis via electrical impedance tomography through numerical computational models","year":2024,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Electrical impedance tomography; Electrical impedance; Electrode; Stroke (engine); Computer science; Biomedical engineering; Medicine; Acoustics; Materials science; Engineering; Electrical engineering; Mechanical engineering; Physics","score_opus":0.047659907656690925,"score_gpt":0.26653191644568375,"score_spread":0.21887200878899282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391465181","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3873038,0.00071238837,0.5999019,0.0013651423,0.00011098861,0.00012300162,0.00038293502,0.0005576405,0.009542166],"genre_scores_gemma":[0.96265,0.00020699947,0.035371043,0.000055189514,0.000016857297,0.00008044605,0.00010301098,0.000026068486,0.0014903088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999777,0.00009448272,0.00001330814,0.000031153708,0.00006597738,0.000017950226],"domain_scores_gemma":[0.9976041,0.0018045987,0.0002690963,0.00008436627,0.00020088276,0.00003696302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005385502,0.00051168277,0.00043844414,0.00049190235,0.00033257666,0.0009016147,0.00055861543,0.0011740614,0.0016126903],"category_scores_gemma":[0.005350717,0.0003883283,0.0005023724,0.00037660915,0.0005831709,0.0005558486,0.00061636086,0.000590787,0.00022971029],"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":[0.000010143251,0.000008096412,0.0004435793,0.000010215496,0.0000037993614,0.000020495383,0.000007198241,0.99732673,0.0003662064,0.00047864503,0.00005880709,0.0012660361],"study_design_scores_gemma":[0.0000013162978,0.0000032841092,0.000062122395,0.0000021230633,0.0000011335601,0.000004656318,0.0000023919602,0.9995826,0.00011181358,0.00018834788,0.000039110888,0.0000010984642],"about_ca_topic_score_codex":0.0068205395,"about_ca_topic_score_gemma":0.0035671282,"teacher_disagreement_score":0.0068205395,"about_ca_system_score_codex":0.0006598199,"about_ca_system_score_gemma":0.0007768143,"threshold_uncertainty_score":0.013561666},"labels":[],"label_agreement":null},{"id":"W4391557979","doi":"10.1109/ssd58187.2023.10411170","title":"Design of a 5-Gauss line system to warn persons with medical implants from critical EM field","year":2023,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"École de Technologie Supérieure","funders":"","keywords":"Gauss; Magnetic field; Line (geometry); Field (mathematics); Electromagnetic field; Magnetic resonance imaging; Electrical engineering; Computer science; Physics; Biomedical engineering; Engineering; Medicine; Mathematics; Radiology","score_opus":0.014151296803148859,"score_gpt":0.23974699036328423,"score_spread":0.22559569356013537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391557979","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09530591,0.00037455617,0.886241,0.00048191228,0.0003133652,0.0009973533,0.00021411358,0.0076457164,0.008425987],"genre_scores_gemma":[0.66399723,0.00024710703,0.32481787,0.0005280981,0.00014251356,0.00064995466,0.00025586566,0.00015790811,0.009203438],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991474,0.00016366217,0.00008749476,0.00024396641,0.000271629,0.00008573522],"domain_scores_gemma":[0.99931896,0.000094894276,0.00011031185,0.0000548447,0.00034939477,0.000071576076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068938616,0.00057493657,0.0004580869,0.00084132294,0.00039878328,0.000671553,0.0015405728,0.0008248224,0.0049020597],"category_scores_gemma":[0.00080742204,0.00033714494,0.0002744408,0.00028783208,0.00028480781,0.0006085722,0.00054290117,0.00029266326,0.0020201989],"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":[0.0016333847,0.0005856671,0.018299153,0.0010424666,0.00017855722,0.0015364357,0.0011324905,0.0103530595,0.5960108,0.0065781637,0.0105652725,0.3520846],"study_design_scores_gemma":[0.0005317133,0.008032726,0.03344478,0.00029639638,0.00055740384,0.0074480902,0.00062245864,0.2953474,0.5465159,0.0019152663,0.10491728,0.00037057378],"about_ca_topic_score_codex":0.000809307,"about_ca_topic_score_gemma":0.0007280761,"teacher_disagreement_score":0.0049020597,"about_ca_system_score_codex":0.00038849382,"about_ca_system_score_gemma":0.00051770825,"threshold_uncertainty_score":0.016399026},"labels":[],"label_agreement":null},{"id":"W4392299205","doi":"10.1088/1361-6579/ad2eb3","title":"Validation of three-dimensional thoracic electrical impedance tomography of horses during normal and increased tidal volumes","year":2024,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Tomography; Medicine; Biomedical engineering; Electrical resistivity tomography; Electrical impedance; Anatomy; Geology; Radiology; Engineering; Electrical resistivity and conductivity; Electrical engineering","score_opus":0.022899090800931138,"score_gpt":0.23070644284753727,"score_spread":0.20780735204660614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392299205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9688183,0.00033161408,0.029850196,0.00004534268,0.000015139697,0.000050448813,0.00043088343,0.00010241692,0.00035563024],"genre_scores_gemma":[0.99096876,0.00014139588,0.008383906,0.00002711763,0.0000057732354,0.0000463371,0.00022580326,0.000017211225,0.00018373528],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995302,0.00017026253,0.00003752257,0.00009150849,0.00012930304,0.000041215873],"domain_scores_gemma":[0.99912614,0.0002771771,0.0002199997,0.000085197826,0.00024023486,0.000051261068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079804595,0.00036946632,0.00029144203,0.00059304025,0.00012847997,0.0008008807,0.00024633735,0.0006031064,0.0005049827],"category_scores_gemma":[0.0029741416,0.00028057562,0.00024614178,0.00027145003,0.00051845517,0.0004611157,0.00039568305,0.00026972799,0.00024296885],"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":[0.0015914993,0.00005567896,0.10487304,0.00025316078,0.000091347145,0.00046239403,0.0006952428,0.00489526,0.85480374,0.00013894189,0.00016017865,0.031979617],"study_design_scores_gemma":[0.00004086326,0.0009987039,0.7805383,0.00008277072,0.000116566676,0.0018823317,0.00085589703,0.03664977,0.17689757,0.00023102356,0.0016502748,0.000055788714],"about_ca_topic_score_codex":0.0010303112,"about_ca_topic_score_gemma":0.0015626358,"teacher_disagreement_score":0.0010303112,"about_ca_system_score_codex":0.00016793866,"about_ca_system_score_gemma":0.00018703616,"threshold_uncertainty_score":0.0042205453},"labels":[],"label_agreement":null},{"id":"W4393203215","doi":"10.1002/wer.11016","title":"A full‐scale operational digital twin for a water resource recovery facility—A case study of Eindhoven Water Resource Recovery Facility","year":2024,"lang":"en","type":"article","venue":"Water Environment Research","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Pipeline (software); Process (computing); Resource (disambiguation); Computer science; Cloud computing; Scale (ratio); Preprocessor; Systems engineering; Engineering; Process engineering; Operating system","score_opus":0.025828927177710657,"score_gpt":0.2534676730542902,"score_spread":0.22763874587657953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393203215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9629258,0.00014424227,0.024775837,0.00030196024,0.00002291537,0.00026808764,0.0014968865,0.0006663166,0.009397932],"genre_scores_gemma":[0.98319376,0.00013373957,0.011462383,0.000019858337,0.000003052353,0.000098710945,0.00069966976,0.00007246159,0.0043163467],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9996099,0.00008715974,0.000023703988,0.000080096004,0.00011146369,0.00008776103],"domain_scores_gemma":[0.9996213,0.00013498354,0.000028080887,0.00007075543,0.00007249961,0.000072389004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060679065,0.00043136004,0.00030689692,0.00044265352,0.00073345087,0.00081857806,0.0011525946,0.00093568844,0.004169545],"category_scores_gemma":[0.000995321,0.00029424034,0.00041875057,0.0008377475,0.00052379817,0.0011595356,0.0007721323,0.00058086216,0.0004868279],"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":[0.0009788597,0.00063055987,0.020204995,0.0006745953,0.00006766103,0.0061378716,0.0010892801,0.8491503,0.02632399,0.007298366,0.0062149093,0.0812287],"study_design_scores_gemma":[0.00021047685,0.0011519358,0.024354937,0.0000815336,0.00007284987,0.00067757507,0.0029991507,0.9079059,0.027748354,0.0020378,0.03261177,0.00014785148],"about_ca_topic_score_codex":0.04621567,"about_ca_topic_score_gemma":0.030404005,"teacher_disagreement_score":0.04621567,"about_ca_system_score_codex":0.00270127,"about_ca_system_score_gemma":0.001516272,"threshold_uncertainty_score":0.091893315},"labels":[],"label_agreement":null},{"id":"W4396515256","doi":"10.22215/etd/2024-15860","title":"Investigation of Machine-Learning Techniques for Pulmonary Artery Pressure Estimation from Electrical Impedance Tomography Images","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Expansive; Electrical impedance tomography; Modality (human–computer interaction); Heart failure; Artificial neural network; Modalities; Pulmonary artery; Medicine; Computed tomography; Deep learning; Artificial intelligence; Computer science; Radiology; Cardiology; Tomography","score_opus":0.005227152641200175,"score_gpt":0.2184122204500136,"score_spread":0.2131850678088134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396515256","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23214963,0.0051068063,0.75359863,0.0012968747,0.00025209633,0.00018445187,0.0001951722,0.0011743044,0.006041926],"genre_scores_gemma":[0.7479363,0.0021114945,0.24601783,0.000120592435,0.000118622425,0.00011332091,0.0003198461,0.000050501345,0.003211578],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927574,0.00026897868,0.00006469589,0.00013992518,0.00020825637,0.000042424435],"domain_scores_gemma":[0.995565,0.0030031647,0.00023466576,0.00020757031,0.0009352515,0.00005436247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026104965,0.00066478015,0.0004362242,0.0008990655,0.0002034908,0.0008461549,0.0005593219,0.0007357355,0.00091175496],"category_scores_gemma":[0.009162971,0.00020761529,0.0005274686,0.00074896915,0.00021525787,0.00086289627,0.00032481653,0.0009248957,0.00044411633],"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":[0.00016777031,0.00024085771,0.011733017,0.00016594924,0.00013754514,0.000111293695,0.00011510468,0.2481079,0.008297442,0.0027046856,0.0015209644,0.7266975],"study_design_scores_gemma":[0.0000029657094,0.000054720545,0.0021066905,0.000018608229,0.000011039499,0.000035157682,0.000021317093,0.99493104,0.0017792484,0.00063169346,0.00040231054,0.0000051228494],"about_ca_topic_score_codex":0.002566641,"about_ca_topic_score_gemma":0.0021702803,"teacher_disagreement_score":0.0026104965,"about_ca_system_score_codex":0.0004304356,"about_ca_system_score_gemma":0.00045378832,"threshold_uncertainty_score":0.013805747},"labels":[],"label_agreement":null},{"id":"W4396918187","doi":"10.1109/cicc60959.2024.10529074","title":"A Saturation-Free 3.6V/1.8V DM/CM Input Range 46.6mV/μs Artifacts Recovery Sensor Interface using CT Track-and-Zoom","year":2024,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"York University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Zoom; Computer science; Artifact (error); SIGNAL (programming language); Asynchronous communication; Dynamic range; Interface (matter); Electronic engineering; Computer hardware; Engineering; Computer vision; Physics; Optics; Telecommunications","score_opus":0.013212003746268004,"score_gpt":0.2281725312907642,"score_spread":0.2149605275444962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396918187","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18987583,0.0036211635,0.77152544,0.0019195263,0.00063639064,0.0005974951,0.0012085651,0.013718949,0.0168967],"genre_scores_gemma":[0.63345516,0.0012060717,0.3439129,0.0015055429,0.00021232104,0.0003044893,0.0008295243,0.00070578756,0.017868157],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996934,0.000020030164,0.000017087246,0.00006735784,0.00017775797,0.000024424327],"domain_scores_gemma":[0.99970776,0.000061383325,0.000073664334,0.00003841746,0.00008278206,0.000035928326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042959137,0.00061505556,0.00037187844,0.0005794264,0.00020897134,0.00069076364,0.0013790178,0.0006855034,0.008724064],"category_scores_gemma":[0.00067680486,0.00030424757,0.00032789394,0.0004373248,0.00038755516,0.001269928,0.0008252941,0.00091555185,0.0018566605],"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":[0.000113662405,0.00004038382,0.00036571932,0.00022045003,0.000015208803,0.00015373771,0.00007130021,0.00025096862,0.95922434,0.001192869,0.0031667806,0.035184562],"study_design_scores_gemma":[0.000049893315,0.00043062997,0.002146101,0.00004429561,0.00003726573,0.0019062539,0.000049122977,0.015819,0.9554715,0.00045728762,0.023537423,0.000051210485],"about_ca_topic_score_codex":0.00051762315,"about_ca_topic_score_gemma":0.0010124149,"teacher_disagreement_score":0.008724064,"about_ca_system_score_codex":0.0005490117,"about_ca_system_score_gemma":0.00047800466,"threshold_uncertainty_score":0.029184878},"labels":[],"label_agreement":null},{"id":"W4398177609","doi":"10.1016/j.powtec.2024.119902","title":"Applicability of low dielectric strength gases in reducing degree of electrostatic charge generation and conveying tube fouling","year":2024,"lang":"en","type":"article","venue":"Powder Technology","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Univation Technologies","keywords":"Argon; Fouling; Volume (thermodynamics); Nitrogen; Dielectric; Chemistry; Tube (container); Suspension (topology); Materials science; Analytical Chemistry (journal); Composite material; Chromatography; Thermodynamics; Optoelectronics","score_opus":0.011618296291927524,"score_gpt":0.22476638359639733,"score_spread":0.21314808730446982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398177609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9777544,0.004128213,0.016044125,0.00022010888,0.00008806609,0.000036751415,0.00005991376,0.000102587044,0.0015656581],"genre_scores_gemma":[0.98656785,0.0018750005,0.010161375,0.00007200193,0.00003346138,0.00001985234,0.00006317936,0.000018209576,0.0011889075],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980813,0.000047794405,0.000016857317,0.00004152553,0.00005980691,0.000025940204],"domain_scores_gemma":[0.99977785,0.00007044008,0.00006599593,0.000022634087,0.00004743143,0.000015617763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036490528,0.00038948204,0.000168927,0.00023805162,0.00016247127,0.00039475775,0.0002970253,0.00042871592,0.0005861466],"category_scores_gemma":[0.0005149068,0.00014952554,0.00026615744,0.00020618073,0.00036875345,0.00050306454,0.00021729484,0.00037476278,0.00014613877],"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":[0.00009375689,0.00002020541,0.0002108814,0.000091351925,0.0000047126864,0.000052036816,0.000019271056,0.00013060911,0.9955778,0.00018865736,0.000029518265,0.0035811155],"study_design_scores_gemma":[0.0000035318303,0.00012781564,0.00038725734,0.0000025101574,0.00000883235,0.00006595072,0.000012301087,0.00035775627,0.99840814,0.000022034252,0.0006017037,0.0000021748933],"about_ca_topic_score_codex":0.0003837991,"about_ca_topic_score_gemma":0.00039353824,"teacher_disagreement_score":0.0005861466,"about_ca_system_score_codex":0.00016285888,"about_ca_system_score_gemma":0.00025436367,"threshold_uncertainty_score":0.0019608736},"labels":[],"label_agreement":null},{"id":"W4399092513","doi":"10.1007/s00134-024-07462-z","title":"Methodological considerations in meta-analysis: evaluating RCTs, NRS, and crossover trials for electrical impedance tomography in PEEP titration","year":2024,"lang":"en","type":"letter","venue":"Intensive Care Medicine","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tobacco Research Unit; Public Health Ontario; Muscular Dystrophy Canada; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Electrical impedance tomography; Medicine; Anesthesiology; Pain medicine; Crossover study; Meta-analysis; Randomized controlled trial; Intensive care medicine; Intensive care; Medical physics; Tomography; Anesthesia; Radiology; Internal medicine; Pathology; Alternative medicine","score_opus":0.36078755445916794,"score_gpt":0.43907823308387,"score_spread":0.07829067862470207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399092513","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":"methods","domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":"methods","domain_consensus":"methods","prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006977325,0.23456754,0.041792557,0.6362553,0.06800571,0.0029233915,0.0025039215,0.0005246546,0.0064496025],"genre_scores_gemma":[0.12062945,0.03505338,0.106212504,0.6571472,0.06876725,0.007876216,0.0005569561,0.00060907303,0.0031479397],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.36074188,0.5363529,0.07317633,0.008700097,0.019624742,0.0014041773],"domain_scores_gemma":[0.09672043,0.86897624,0.011154777,0.009653701,0.011725792,0.0017691188],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.45775732,0.0023929828,0.014239082,0.0042129024,0.0023647961,0.008970669,0.006505626,0.022441348,0.0034841064],"category_scores_gemma":[0.7610625,0.0031932176,0.015532335,0.004474419,0.006853397,0.007778975,0.0037147228,0.024312662,0.0014612218],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.03754908,0.00027837927,0.0110698,0.09383151,0.16332924,0.0027377058,0.0028884641,0.003247739,0.0013810975,0.031017642,0.3847723,0.267897],"study_design_scores_gemma":[0.077100545,0.0040450115,0.017636964,0.099394605,0.17506999,0.004669442,0.0016079376,0.025245529,0.002797995,0.23615314,0.35465246,0.0016263905],"about_ca_topic_score_codex":0.008673657,"about_ca_topic_score_gemma":0.019945027,"teacher_disagreement_score":0.54224265,"about_ca_system_score_codex":0.007531702,"about_ca_system_score_gemma":0.01211433,"threshold_uncertainty_score":0.66868174},"labels":[],"label_agreement":null},{"id":"W4399309637","doi":"10.3934/ammc.2024006","title":"A boundary integral equations approach to electrical impedance tomography: Experiments on the KTC2023 data","year":2024,"lang":"en","type":"article","venue":"Applied Mathematics for Modern Challenges","topic":"Electrical and Bioimpedance Tomography","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 Toronto","funders":"","keywords":"Electrical impedance tomography; Solver; Tomography; Electrical resistivity tomography; Electrical impedance; Inverse problem; Boundary (topology); Set (abstract data type); Computer science; Inverse; Applied mathematics; Mathematical analysis; Mathematics; Mathematical optimization; Geometry; Medicine; Electrical resistivity and conductivity; Engineering; Electrical engineering; Radiology","score_opus":0.10670940694398218,"score_gpt":0.2960540060904899,"score_spread":0.1893445991465077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399309637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8425512,0.0005502602,0.13735338,0.0025371092,0.00038863218,0.0003586828,0.0038554773,0.0031397687,0.009265472],"genre_scores_gemma":[0.85888416,0.00021202066,0.12967625,0.00041979694,0.0000741791,0.00017528236,0.006731597,0.0006523395,0.0031745103],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989008,0.0003327107,0.00005718321,0.00015104497,0.00045799627,0.00010030569],"domain_scores_gemma":[0.9959692,0.0022904251,0.00010941772,0.0005418769,0.0008669545,0.00022211343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027315007,0.00054446567,0.0006136962,0.00053491537,0.00069885683,0.0011015361,0.0013268213,0.0018017491,0.002236581],"category_scores_gemma":[0.010365657,0.00023754785,0.00048824114,0.0011153866,0.0010766044,0.0014423707,0.0016321423,0.0019523174,0.0010097101],"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":[0.006010138,0.0033355,0.02499925,0.0015001836,0.00034465428,0.0036857328,0.0034211897,0.39930916,0.17681016,0.024791017,0.05119164,0.3046014],"study_design_scores_gemma":[0.0005212471,0.00095073506,0.0143613955,0.00009598028,0.000043368524,0.001129141,0.0011527468,0.8894878,0.06740622,0.0094448235,0.0152699435,0.00013668218],"about_ca_topic_score_codex":0.009855234,"about_ca_topic_score_gemma":0.008097958,"teacher_disagreement_score":0.009855234,"about_ca_system_score_codex":0.00050959154,"about_ca_system_score_gemma":0.0008709199,"threshold_uncertainty_score":0.019595742},"labels":[],"label_agreement":null},{"id":"W4400650074","doi":"10.1109/imbioc60287.2024.10590533","title":"Progress and Challenges towards a Standard Approach for Dielectric Measurement and Reporting of Biological Tissues","year":2024,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"McGill University","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Dielectric; Computer science; Data science; Materials science; Optoelectronics","score_opus":0.12019857612266498,"score_gpt":0.2896225091152238,"score_spread":0.1694239329925588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400650074","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010819616,0.104320616,0.78885055,0.07237499,0.0049679587,0.0019381342,0.0009159429,0.0029007373,0.012911521],"genre_scores_gemma":[0.0393644,0.049909547,0.8928395,0.008703773,0.0026308347,0.001891523,0.0020734998,0.00074335193,0.0018436452],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.82597405,0.06657366,0.023608726,0.015467432,0.06409307,0.0042831106],"domain_scores_gemma":[0.5960648,0.14640594,0.01871641,0.07510307,0.15392709,0.00978272],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.33330745,0.0029625923,0.0051891096,0.010752363,0.0037246924,0.0216667,0.023227934,0.011121797,0.0027577705],"category_scores_gemma":[0.18344612,0.0018589115,0.0029847794,0.0066148755,0.016602658,0.019518869,0.013411582,0.017978674,0.0040449603],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003577139,0.0010197982,0.009147233,0.013271923,0.00046773013,0.00048428887,0.0053811823,0.0072420468,0.030723648,0.23238641,0.03175252,0.66776544],"study_design_scores_gemma":[0.00013112536,0.002056337,0.010353445,0.025399536,0.0004988692,0.002836714,0.0108714,0.017008714,0.038024936,0.16031878,0.7314225,0.0010775842],"about_ca_topic_score_codex":0.0072108153,"about_ca_topic_score_gemma":0.003795878,"teacher_disagreement_score":0.66669255,"about_ca_system_score_codex":0.00802517,"about_ca_system_score_gemma":0.036663167,"threshold_uncertainty_score":0.8221506},"labels":[],"label_agreement":null},{"id":"W4401325541","doi":"10.1016/j.sna.2024.115778","title":"Piezoresistive nanocomposite sensing using electrical impedance tomography and machine learning","year":2024,"lang":"en","type":"article","venue":"Sensors and Actuators A Physical","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Piezoresistive effect; Electrical impedance tomography; Convolutional neural network; Strain gauge; Materials science; Artificial intelligence; Structural health monitoring; Computer science; Artificial neural network; Electrical impedance; Composite material; Engineering; Electrical engineering","score_opus":0.006125268917869118,"score_gpt":0.20801966546703018,"score_spread":0.20189439654916105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401325541","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17891315,0.0007061624,0.81500995,0.00040587943,0.0000532628,0.000048154827,0.0001421588,0.001088061,0.003633254],"genre_scores_gemma":[0.8037685,0.00042023574,0.19291854,0.00007796507,0.000029757388,0.000048792037,0.00011494557,0.000051417628,0.0025698165],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997459,0.000057000474,0.0000172509,0.00006785468,0.00009685858,0.000015040808],"domain_scores_gemma":[0.9996643,0.00017929393,0.00006384983,0.000034009267,0.000050346294,0.000008227228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040200303,0.0004117945,0.00031055306,0.0004285102,0.00012326404,0.00066670234,0.00038124245,0.0004888265,0.00087080087],"category_scores_gemma":[0.0012807803,0.00022485567,0.00024841784,0.00039403586,0.0003433933,0.001262333,0.0003113336,0.00046221568,0.0002624537],"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":[0.0003179692,0.00023938906,0.004523553,0.0003562892,0.00013077281,0.00019877209,0.0001233871,0.10250366,0.5954418,0.008247687,0.0009728424,0.28694382],"study_design_scores_gemma":[0.000010985425,0.00006522379,0.0013401207,0.000010399839,0.000015356618,0.00012935819,0.000024971245,0.86289406,0.1325907,0.00183361,0.001065523,0.00001968875],"about_ca_topic_score_codex":0.00038699104,"about_ca_topic_score_gemma":0.0010446974,"teacher_disagreement_score":0.00087080087,"about_ca_system_score_codex":0.00032345962,"about_ca_system_score_gemma":0.00020903152,"threshold_uncertainty_score":0.0029131174},"labels":[],"label_agreement":null},{"id":"W4402841319","doi":"10.1088/1361-6579/ad7fca","title":"Fraction of reverse impedance change (FRIC): a quantitative electrical impedance tomography measure of intrapulmonary pendelluft","year":2024,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Electrical impedance; Measure (data warehouse); Tomography; Materials science; Biomedical engineering; Medicine; Computer science; Engineering; Electrical engineering; Radiology; Data mining","score_opus":0.07702553645105298,"score_gpt":0.2646216805172356,"score_spread":0.18759614406618264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402841319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7240104,0.003610644,0.26209104,0.000548348,0.0002662116,0.00026733574,0.0013073956,0.0010600412,0.006838677],"genre_scores_gemma":[0.97693205,0.00039439462,0.020929148,0.00014856677,0.000074791256,0.00014829826,0.0002245314,0.00007735792,0.0010708873],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99923277,0.00021907242,0.000064406435,0.00012462112,0.0003083429,0.000050649556],"domain_scores_gemma":[0.9980877,0.00089599827,0.00044678844,0.00014506918,0.00030136414,0.00012310417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013881061,0.00068041653,0.00043062054,0.0013263697,0.00020222718,0.0008882047,0.00042456048,0.00086352683,0.0017570598],"category_scores_gemma":[0.004525722,0.000137644,0.00023553119,0.00036683743,0.00078539643,0.0009098705,0.00048732868,0.00045200702,0.00034503653],"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":[0.0022258156,0.00018290037,0.10140163,0.0008070728,0.00024639486,0.00094950426,0.0005166175,0.0034794016,0.69100815,0.002100561,0.0016094613,0.19547248],"study_design_scores_gemma":[0.000084173655,0.0028975068,0.49823806,0.00016038195,0.00031253582,0.006983201,0.00071684475,0.030318994,0.45119253,0.002504365,0.0063773,0.00021408858],"about_ca_topic_score_codex":0.0003273436,"about_ca_topic_score_gemma":0.00034762605,"teacher_disagreement_score":0.0017570598,"about_ca_system_score_codex":0.00028890654,"about_ca_system_score_gemma":0.0002039739,"threshold_uncertainty_score":0.007341087},"labels":[],"label_agreement":null},{"id":"W4403069449","doi":"10.1007/978-3-031-72120-5_2","title":"A Hybrid CNN-Transformer Feature Pyramid Network for Granular Abdominal Aortic Calcification Detection from DXA Images","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":5,"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 Manitoba","funders":"","keywords":"Computer science; Artificial intelligence; Transformer; Feature (linguistics); Pattern recognition (psychology); Pyramid (geometry); Calcification; Computer vision; Radiology; Medicine; Electrical engineering; Physics; Engineering; Voltage","score_opus":0.006499355738533365,"score_gpt":0.20925126140400085,"score_spread":0.2027519056654675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403069449","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06285942,0.0015170857,0.91525984,0.00043333534,0.0004497517,0.00024740282,0.0022382918,0.008691086,0.008303741],"genre_scores_gemma":[0.58447784,0.0015041024,0.38196418,0.0007772951,0.00024012815,0.00022985062,0.005942382,0.00034713955,0.024517154],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998286,0.000009125267,0.00000691138,0.00005870965,0.000057848356,0.0000388517],"domain_scores_gemma":[0.9998683,0.000022519065,0.000008567259,0.000022310496,0.00006334261,0.000015058537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002903482,0.0008127186,0.0007074,0.00071416656,0.00023557158,0.00056649355,0.00128235,0.0006243771,0.004175896],"category_scores_gemma":[0.00046673394,0.00041073226,0.000693778,0.00075698306,0.00014567368,0.00056402787,0.0008303963,0.00057742954,0.0018446022],"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":[0.00024947737,0.00016325913,0.0018562411,0.00010944468,0.00014929015,0.00020724058,0.000021923574,0.03321788,0.038421612,0.001224829,0.012544706,0.91183394],"study_design_scores_gemma":[0.000022014556,0.00011577287,0.0024741422,0.000019052173,0.00008807115,0.00025688836,0.0000159092,0.9757017,0.016293919,0.0015520019,0.0034392448,0.000021259586],"about_ca_topic_score_codex":0.015899653,"about_ca_topic_score_gemma":0.024500392,"teacher_disagreement_score":0.015899653,"about_ca_system_score_codex":0.00056751934,"about_ca_system_score_gemma":0.0008525053,"threshold_uncertainty_score":0.031614244},"labels":[],"label_agreement":null},{"id":"W4403112140","doi":"10.1007/s00204-024-03879-z","title":"Minimum information for reporting on the TEER (trans-epithelial/endothelial electrical resistance) assay (MIRTA)","year":2024,"lang":"en","type":"review","venue":"Archives of Toxicology","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kimberly-Clark (Canada)","funders":"","keywords":"Resistance (ecology); Chemistry; Biology","score_opus":0.026928210073692876,"score_gpt":0.2889070941482096,"score_spread":0.2619788840745167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403112140","genre_codex":"review","genre_gemma":"methods","domain_codex":null,"domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0063921195,0.30758187,0.25540867,0.086481646,0.028464703,0.035199113,0.0403876,0.0065202783,0.23356394],"genre_scores_gemma":[0.028997554,0.32474524,0.40944037,0.034066774,0.006685217,0.051295724,0.068381645,0.0017647619,0.07462271],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.8843102,0.04312881,0.03183568,0.00308617,0.03534446,0.002294663],"domain_scores_gemma":[0.8023047,0.058457583,0.028281955,0.012474335,0.09637755,0.002103865],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.081154265,0.0021904598,0.0038226454,0.0117308935,0.0020771963,0.0056844135,0.008884114,0.008970067,0.019224338],"category_scores_gemma":[0.11680891,0.0022535846,0.0041174446,0.006184119,0.0030390138,0.0053991405,0.003673512,0.005804092,0.018709134],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032585365,0.00029267636,0.0010086243,0.035565563,0.00018883648,0.00046820586,0.0009223513,0.00065248215,0.008335098,0.027162394,0.49644724,0.42863077],"study_design_scores_gemma":[0.000063628904,0.00016837526,0.0010590552,0.013810742,0.00014307168,0.00028566227,0.00018423806,0.00016253153,0.003485534,0.0023920191,0.97818726,0.000057982976],"about_ca_topic_score_codex":0.0069842464,"about_ca_topic_score_gemma":0.005413918,"teacher_disagreement_score":0.9188457,"about_ca_system_score_codex":0.0035800715,"about_ca_system_score_gemma":0.025888208,"threshold_uncertainty_score":0.42918992},"labels":[],"label_agreement":null},{"id":"W4405264190","doi":"10.3389/fbioe.2024.1486789","title":"Past, present, and future of electrical impedance tomography and myography for medical applications: a scoping review","year":2024,"lang":"en","type":"review","venue":"Frontiers in Bioengineering and Biotechnology","topic":"Electrical and Bioimpedance Tomography","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":"Polytechnique Montréal","funders":"Lebanese American University","keywords":"Electrical impedance tomography; Electrical impedance myography; Electrical impedance; Computer science; Strengths and weaknesses; Biomedical engineering; Medicine; Engineering; Electrical engineering","score_opus":0.006901920733330486,"score_gpt":0.26351960541799196,"score_spread":0.25661768468466145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405264190","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000058217513,0.99867284,0.00012874846,0.0004040102,0.0001642872,0.000007217167,0.00002443649,0.0000048477064,0.00053537363],"genre_scores_gemma":[0.00037231168,0.99869007,0.00025459062,0.0002663564,0.00014621917,0.00001537186,0.000038771614,0.0000021942687,0.0002141179],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991128,0.00019507481,0.00024279559,0.00012557485,0.00027211377,0.000051607174],"domain_scores_gemma":[0.99359304,0.004586731,0.00056471047,0.00010507992,0.001009474,0.00014092647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002526018,0.0011348834,0.002010124,0.007936488,0.00052295456,0.0025595156,0.001287102,0.0021058675,0.0057935216],"category_scores_gemma":[0.006831308,0.00055823405,0.0017317752,0.007699191,0.00081423396,0.0032023066,0.0012683856,0.0020235116,0.0017786049],"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":[0.00006210784,0.000045724715,0.00028484617,0.10747907,0.00021618392,0.00017861568,0.00021592886,0.00040630178,0.0006434553,0.00524856,0.025059285,0.86015993],"study_design_scores_gemma":[0.000017324712,0.00010630257,0.001168719,0.1273396,0.00076095486,0.0010174548,0.00028983632,0.0001942389,0.00038297017,0.0042761015,0.86440045,0.000046045978],"about_ca_topic_score_codex":0.002803432,"about_ca_topic_score_gemma":0.0043871473,"teacher_disagreement_score":0.007936488,"about_ca_system_score_codex":0.001234695,"about_ca_system_score_gemma":0.0055196793,"threshold_uncertainty_score":0.019381225},"labels":[],"label_agreement":null},{"id":"W4406088102","doi":"10.2139/ssrn.5070817","title":"Experimentation of a Novel Sequential Moving Bed DAC System","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Electrical and Bioimpedance Tomography","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":"Université de Sherbrooke","funders":"","keywords":"Computer science","score_opus":0.006202740435337619,"score_gpt":0.2331978640299433,"score_spread":0.2269951235946057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406088102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84980863,0.00018631169,0.14212549,0.00017906025,0.00015607194,0.0001905443,0.00019254086,0.002000546,0.0051607704],"genre_scores_gemma":[0.9714309,0.000043529424,0.02591422,0.000026084535,0.000007907717,0.000034509565,0.00006787341,0.000024056613,0.0024509307],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996588,0.00007692299,0.000018856004,0.00006513569,0.00013078294,0.00004958807],"domain_scores_gemma":[0.9991578,0.0002487042,0.000057029287,0.00012380334,0.00032217326,0.00009051359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005507187,0.00029142256,0.00042605962,0.0003751352,0.0004028975,0.00047923028,0.00076733914,0.00052585517,0.0052703233],"category_scores_gemma":[0.0011633724,0.00015993281,0.00013217526,0.00038428107,0.0002725654,0.0005649619,0.00028852443,0.00022994391,0.0005077418],"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":[0.0036371264,0.00088669424,0.007065087,0.00084382645,0.00015371986,0.0008115951,0.00082877604,0.16102357,0.6322504,0.004157744,0.0024414437,0.18590002],"study_design_scores_gemma":[0.00027966252,0.005256586,0.0064911316,0.000029894461,0.000106459454,0.000593108,0.0002943676,0.6055209,0.37139407,0.0007077585,0.009245901,0.00008012947],"about_ca_topic_score_codex":0.001963495,"about_ca_topic_score_gemma":0.0013420122,"teacher_disagreement_score":0.0052703233,"about_ca_system_score_codex":0.0003241363,"about_ca_system_score_gemma":0.000554281,"threshold_uncertainty_score":0.017630994},"labels":[],"label_agreement":null},{"id":"W4407796497","doi":"10.1049/ell2.70181","title":"Time‐Based Wireless Synchronous Detection of Bioimpedance Signals","year":2025,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wireless; Computer science; Electronic engineering; Engineering; Telecommunications","score_opus":0.002361677400927054,"score_gpt":0.18416279861143484,"score_spread":0.1818011212105078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407796497","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24303557,0.0006338437,0.74759775,0.00020495968,0.00016832628,0.00007645137,0.00016615198,0.0010287857,0.00708818],"genre_scores_gemma":[0.89170974,0.00039315003,0.10342612,0.00010690906,0.000067870234,0.00006350513,0.000071259725,0.000054861972,0.004106637],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979407,0.000030798124,0.000010371063,0.00004792646,0.00010295454,0.00001392876],"domain_scores_gemma":[0.9996917,0.00014559262,0.00006987895,0.0000385167,0.000042538337,0.0000118154885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022637178,0.00021376277,0.00019170693,0.00026049523,0.00011702274,0.00044502172,0.00075560866,0.00028610107,0.0014740096],"category_scores_gemma":[0.0008473017,0.00013122473,0.00009247244,0.00027209392,0.00029323134,0.0007426374,0.0003695537,0.00022458118,0.00035548199],"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":[0.0001663851,0.000050932464,0.0010121826,0.00014334486,0.00001931468,0.00018818282,0.00016005922,0.0042954623,0.91002405,0.0076339855,0.00056843634,0.07573757],"study_design_scores_gemma":[0.000032213164,0.0004136538,0.0019769084,0.000026958469,0.000035438872,0.00067157333,0.000050543513,0.15480785,0.83058536,0.0018799506,0.009487861,0.00003179096],"about_ca_topic_score_codex":0.0001090401,"about_ca_topic_score_gemma":0.0001795677,"teacher_disagreement_score":0.0014740096,"about_ca_system_score_codex":0.00020182478,"about_ca_system_score_gemma":0.00011117437,"threshold_uncertainty_score":0.0049310923},"labels":[],"label_agreement":null},{"id":"W4408533639","doi":"10.21203/rs.3.rs-6234915/v1","title":"Application of Hierarchical Homogenization Technique in Thermal Conductivity Computation for Micro Computed Tomography (Micro-CT) Images of Porous Media","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Electrical and Bioimpedance Tomography","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 Calgary","funders":"","keywords":"Homogenization (climate); Porous medium; Computation; Computed tomography; Materials science; Thermal conductivity; Porosity; Tomography; Conductivity; Thermal; Composite material; Biomedical engineering; Computer science; Optics; Physics; Radiology; Algorithm; Medicine; Thermodynamics","score_opus":0.01921719572684451,"score_gpt":0.3165104760850841,"score_spread":0.2972932803582396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408533639","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02914173,0.000101036276,0.9690627,0.000078842844,0.000019690477,0.000024257957,0.000029820529,0.000329194,0.0012127488],"genre_scores_gemma":[0.5141439,0.00022833505,0.48268655,0.00007301966,0.000033286375,0.000091697395,0.00011507694,0.00023898657,0.0023892026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999083,0.0000209505,0.0000053892013,0.000018772707,0.000031743923,0.000014885598],"domain_scores_gemma":[0.9997577,0.00013632263,0.000021275024,0.0000255857,0.000046331308,0.000012739639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019832618,0.00025560302,0.00028883794,0.00035962107,0.00028100796,0.00040773812,0.0004061514,0.00052321533,0.0014896252],"category_scores_gemma":[0.00082222297,0.00022681619,0.000425859,0.00036667573,0.00037323195,0.0004914618,0.0004685129,0.000443829,0.00024928077],"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":[0.000148805,0.000091685724,0.0014390945,0.00028476698,0.00006317533,0.0003079456,0.00037290587,0.57766277,0.25719443,0.024778668,0.0016656726,0.13599017],"study_design_scores_gemma":[0.00000445182,0.0000140080665,0.00024452052,0.0000033190563,0.000005710927,0.000027846732,0.00001507257,0.98684597,0.010623539,0.0016098488,0.000600489,0.0000052418154],"about_ca_topic_score_codex":0.0026022359,"about_ca_topic_score_gemma":0.0034251038,"teacher_disagreement_score":0.0026022359,"about_ca_system_score_codex":0.00033596455,"about_ca_system_score_gemma":0.00052132265,"threshold_uncertainty_score":0.00517416},"labels":[],"label_agreement":null},{"id":"W4409359540","doi":"10.1139/cjfr-2024-0311","title":"Application of electrical resistance tomograph (ERT): innovative non-destructive method in analysing interiors of standing trees in tropics","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tropics; Resistance (ecology); Environmental science; Forestry; Geography; Biology; Ecology","score_opus":0.013300024392042177,"score_gpt":0.31973670533820636,"score_spread":0.30643668094616416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409359540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5874647,0.014771573,0.37572655,0.00069794524,0.00025918422,0.0003269544,0.0017133572,0.0015097989,0.017530017],"genre_scores_gemma":[0.713741,0.007756352,0.27097017,0.00027502954,0.00009544671,0.00015806216,0.00059782166,0.00012554767,0.006280497],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996086,0.0000629897,0.000017369463,0.00010761997,0.00017355364,0.00002998828],"domain_scores_gemma":[0.999668,0.000078526966,0.00007405564,0.000024209548,0.00013324474,0.000022000328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042615586,0.00056757743,0.00033771517,0.0022108972,0.00033693144,0.0006238799,0.00046801032,0.0007086638,0.00073327794],"category_scores_gemma":[0.00043867616,0.00025930084,0.0002946106,0.0015015147,0.00035909968,0.0007477158,0.0003624271,0.00048491076,0.00034388358],"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":[0.00012494568,0.00008355124,0.048068155,0.0010023314,0.00010003265,0.0014679,0.0008835198,0.0022636342,0.703393,0.0007404415,0.001676651,0.24019587],"study_design_scores_gemma":[0.00005939478,0.0009326123,0.41984388,0.00047207106,0.0005615157,0.018448168,0.005890726,0.05854841,0.43745887,0.0032965273,0.054150276,0.0003374879],"about_ca_topic_score_codex":0.0024738372,"about_ca_topic_score_gemma":0.008630463,"teacher_disagreement_score":0.0024738372,"about_ca_system_score_codex":0.00018498236,"about_ca_system_score_gemma":0.0002690802,"threshold_uncertainty_score":0.0049188733},"labels":[],"label_agreement":null},{"id":"W4409699505","doi":"10.22215/cujs.v3i2.5096","title":"Electrical Impedance Spectroscopy for Tissue Classification","year":2025,"lang":"en","type":"article","venue":"Carleton undergraduate journal of science.","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Dielectric spectroscopy; Electrical impedance; Spectroscopy; Materials science; Electrical engineering; Chemistry; Engineering; Physics; Electrode","score_opus":0.009195867320752891,"score_gpt":0.27453977268065566,"score_spread":0.26534390535990277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409699505","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048076242,0.012005746,0.9242005,0.001165537,0.0005014065,0.00020952444,0.00070652255,0.0014620706,0.011672469],"genre_scores_gemma":[0.44686085,0.014326159,0.5244852,0.0006856721,0.00031648498,0.00025347594,0.0007895293,0.00016469011,0.012117879],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986664,0.00031085568,0.00009534029,0.00022332303,0.0006407206,0.0000632795],"domain_scores_gemma":[0.9987363,0.0005289774,0.00013295752,0.00012428616,0.00044169262,0.000035758523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013451389,0.00077640585,0.00077083067,0.0021883203,0.00037222193,0.0014273007,0.0006892134,0.0011679116,0.0034787632],"category_scores_gemma":[0.002873259,0.00034763536,0.00049446843,0.0021373008,0.0005082023,0.0015622393,0.00076502503,0.0009913386,0.0024830573],"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":[0.00023238077,0.0001195856,0.008065819,0.00069373305,0.00010318681,0.00024982606,0.00017596713,0.005403865,0.47978,0.004036865,0.0036808061,0.49745798],"study_design_scores_gemma":[0.00006180939,0.0009598618,0.03539091,0.0005340811,0.00032947893,0.003911281,0.0007350937,0.21971142,0.61115295,0.015339799,0.1116193,0.00025406072],"about_ca_topic_score_codex":0.00066302216,"about_ca_topic_score_gemma":0.0014173837,"teacher_disagreement_score":0.0034787632,"about_ca_system_score_codex":0.00047486083,"about_ca_system_score_gemma":0.00035645528,"threshold_uncertainty_score":0.011637628},"labels":[],"label_agreement":null},{"id":"W4410738080","doi":"10.1109/tbme.2025.3572800","title":"Global Maxwell Tomography Using the Volume-Surface Integral Equation for Improved Estimation of Electrical Properties","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Electrical and Bioimpedance Tomography","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":"Polytechnique Montréal","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health; Center for Advanced Imaging Innovation and Research","keywords":"Integral equation; Maxwell's equations; Tomography; Surface (topology); Volume (thermodynamics); Electrical capacitance tomography; Mathematical analysis; Physics; Classical mechanics; Mathematics; Optics; Geometry; Capacitance; Thermodynamics","score_opus":0.010578292623181405,"score_gpt":0.22137364482576036,"score_spread":0.21079535220257895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410738080","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012046539,0.00024260448,0.9865261,0.00008148799,0.000015109974,0.000010311736,0.000024077997,0.0002812316,0.0007725005],"genre_scores_gemma":[0.40913537,0.0009480612,0.58582664,0.00016888586,0.000049623333,0.00008631343,0.00021381977,0.00043270932,0.0031385578],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998481,0.000046137295,0.0000073457572,0.000023351806,0.0000662381,0.000008663626],"domain_scores_gemma":[0.99963164,0.00018288489,0.00006469395,0.00003874375,0.00006938059,0.000012604936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005679073,0.00059044384,0.000287292,0.00038862403,0.000112228314,0.00051865116,0.00040205536,0.0004558036,0.0011333271],"category_scores_gemma":[0.0021401797,0.00024879424,0.0004898172,0.00042187644,0.0003883068,0.0009384132,0.00061737216,0.00041147645,0.000260926],"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":[0.00009569597,0.000027608947,0.0023147066,0.0002028339,0.00009241073,0.00029629102,0.0001892705,0.78557783,0.062465634,0.01840741,0.0020376074,0.1282928],"study_design_scores_gemma":[0.000006386737,0.000028091756,0.00029722933,0.000010733037,0.000016277188,0.00014539542,0.0000130742,0.9853019,0.008931681,0.0029085036,0.0023292252,0.000011534311],"about_ca_topic_score_codex":0.0010440601,"about_ca_topic_score_gemma":0.001333706,"teacher_disagreement_score":0.0011333271,"about_ca_system_score_codex":0.00037251017,"about_ca_system_score_gemma":0.0005589597,"threshold_uncertainty_score":0.0037913322},"labels":[],"label_agreement":null},{"id":"W4411022708","doi":"10.1186/s12931-025-03292-9","title":"Correction: EIT guided evaluation of regional ventilation distributions in neonatal and pediatric ARDS: a prospective feasibility study","year":2025,"lang":"en","type":"erratum","venue":"Respiratory Research","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital; Children's & Women's Health Centre of British Columbia","funders":"","keywords":"ARDS; Pediatric research; Medicine; Intensive care medicine; Prospective cohort study; Ventilation (architecture); Pediatrics; Internal medicine; Lung; Geography","score_opus":0.12570168403490548,"score_gpt":0.4067757642388788,"score_spread":0.2810740802039733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411022708","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00043604427,0.0016757367,0.0009254293,0.030489275,0.96329653,0.00004085596,0.0010432377,0.00023556568,0.0018572911],"genre_scores_gemma":[0.03776549,0.0128117865,0.010130144,0.0845825,0.667279,0.0004641442,0.0025829216,0.0021617208,0.18222222],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9976439,0.0003389303,0.0005567653,0.00033070784,0.0009045522,0.00022507733],"domain_scores_gemma":[0.97798127,0.004756909,0.0014275734,0.0015829701,0.0130733745,0.0011778622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025350016,0.0018721732,0.0016696411,0.0026030268,0.0014455802,0.0027232105,0.0024604064,0.0053136745,0.031438414],"category_scores_gemma":[0.052387152,0.0009058469,0.0011836219,0.001526603,0.0016613695,0.0014505279,0.0011826262,0.0074581997,0.02064472],"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":[0.00008255682,0.000011769154,0.00040154616,0.00035879912,0.000016000598,0.001357205,0.000033624798,0.00006974885,0.0001134429,0.0005611313,0.98400325,0.012990885],"study_design_scores_gemma":[0.00014138839,0.00005542444,0.0039038463,0.0008945308,0.00009229055,0.0069290497,0.00019098715,0.000749976,0.0013170368,0.0014108522,0.9842276,0.00008690176],"about_ca_topic_score_codex":0.012337877,"about_ca_topic_score_gemma":0.010597423,"teacher_disagreement_score":0.031438414,"about_ca_system_score_codex":0.0025571417,"about_ca_system_score_gemma":0.0036960843,"threshold_uncertainty_score":0.10517198},"labels":[],"label_agreement":null},{"id":"W4413340584","doi":"10.1007/s11242-025-02211-2","title":"Application of Hierarchical Homogenization Technique in Thermal Conductivity Computation for Micro-Computed Tomography (Micro-CT) Images of Porous Media","year":2025,"lang":"en","type":"article","venue":"Transport in Porous Media","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Energi Simulation","keywords":"Homogenization (climate); Porous medium; Computation; Tomography; Materials science; Thermal conductivity; Porosity; Computed tomography; Conductivity; Hydrogeology; Geology; Optics; Composite material; Physics; Computer science; Geotechnical engineering; Radiology; Algorithm; Medicine","score_opus":0.005666847217975753,"score_gpt":0.21928090093055747,"score_spread":0.21361405371258171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413340584","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035101555,0.000096488686,0.96296394,0.000072072326,0.000017691229,0.000025834335,0.000028648765,0.0003743314,0.0013194749],"genre_scores_gemma":[0.58616704,0.00020163723,0.4112992,0.0000642719,0.000024023022,0.00008859597,0.00010502646,0.00020525858,0.0018448626],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999169,0.000017774846,0.0000053761173,0.000015821626,0.000029621453,0.000014468457],"domain_scores_gemma":[0.9997744,0.0001231364,0.00002197088,0.000020907617,0.000046871075,0.000012751972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001880099,0.00026705547,0.0003052965,0.00035793366,0.00033617247,0.00043770391,0.00044359613,0.00052432116,0.0013356475],"category_scores_gemma":[0.0007433826,0.00023563899,0.00042951235,0.0003621075,0.0003636705,0.00053987495,0.0004435422,0.00039784654,0.00021379211],"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":[0.00011480603,0.000079913974,0.0014602304,0.00023855155,0.00005007632,0.00030984962,0.00032272757,0.68895555,0.19417094,0.0180613,0.001131889,0.09510421],"study_design_scores_gemma":[0.0000034645038,0.000010337004,0.00017648727,0.0000027533433,0.0000041860976,0.000021884607,0.000012557388,0.99179393,0.006707773,0.00087549246,0.00038687894,0.0000043259947],"about_ca_topic_score_codex":0.0032452417,"about_ca_topic_score_gemma":0.0040571056,"teacher_disagreement_score":0.0032452417,"about_ca_system_score_codex":0.0003739512,"about_ca_system_score_gemma":0.0006562925,"threshold_uncertainty_score":0.0064526796},"labels":[],"label_agreement":null},{"id":"W4416291040","doi":"10.2118/231403-pa","title":"Sample Quality Evaluation using Reinforcement Learning for Lost Circulation Recognition","year":2025,"lang":"en","type":"article","venue":"SPE Journal","topic":"Electrical and Bioimpedance Tomography","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":"Memorial University of Newfoundland","funders":"","keywords":"Sample (material); Reinforcement learning; Artificial neural network; Function (biology); Selection (genetic algorithm); Set (abstract data type); Pattern recognition (psychology)","score_opus":0.07468322883120421,"score_gpt":0.33976275723085764,"score_spread":0.26507952839965343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416291040","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23562363,0.0005750376,0.7579933,0.00030320822,0.00013406995,0.00020477136,0.000068529735,0.0030405275,0.0020569041],"genre_scores_gemma":[0.9474632,0.000061816856,0.051091503,0.00010292522,0.000015046372,0.00007855897,0.00008831158,0.00008358589,0.0010149955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99788266,0.00042503557,0.00016123717,0.00046841876,0.0008751174,0.00018746642],"domain_scores_gemma":[0.9940859,0.0022725884,0.0007017916,0.0006244085,0.0020134326,0.0003019125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035090146,0.0008678995,0.0011059226,0.0006796317,0.00042393323,0.0010767976,0.0015250957,0.0008042434,0.001116009],"category_scores_gemma":[0.01262445,0.00032105955,0.000526844,0.00032606782,0.0009048238,0.0014871873,0.0010397948,0.0011784553,0.0002828489],"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":[0.001118427,0.00037797724,0.010954755,0.00020806184,0.00012669602,0.00035867383,0.0002856435,0.61155117,0.028090425,0.002787166,0.0023655365,0.34177545],"study_design_scores_gemma":[0.000012988488,0.000110887544,0.00059536455,0.000005839154,0.000011400694,0.0000253357,0.000009380657,0.9931426,0.0054244893,0.0004889854,0.00016159697,0.000011050849],"about_ca_topic_score_codex":0.0060520093,"about_ca_topic_score_gemma":0.0037046103,"teacher_disagreement_score":0.0060520093,"about_ca_system_score_codex":0.0014180426,"about_ca_system_score_gemma":0.0012527299,"threshold_uncertainty_score":0.018557668},"labels":[],"label_agreement":null},{"id":"W4416422891","doi":"10.1016/j.isci.2025.114130","title":"Machine learning enhanced noninvasive transcranial stroke detection using a portable eddy current damping sensor","year":2025,"lang":"en","type":"article","venue":"iScience","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institutes of Health; Western University; National Institute of Neurological Disorders and Stroke; University of Southern California","keywords":"Stroke (engine); Imaging phantom; Magnetic resonance imaging; Neuroimaging; Eddy current; Electromagnetic coil; Deep learning","score_opus":0.009629292704334477,"score_gpt":0.23899448429628614,"score_spread":0.22936519159195168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416422891","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22823851,0.0006850809,0.76294976,0.0004090715,0.00021183708,0.00015493175,0.0002581051,0.0022697877,0.004822908],"genre_scores_gemma":[0.8450681,0.00037761443,0.14995018,0.00020793635,0.00005389415,0.00009618929,0.0002105135,0.00004196704,0.003993614],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980456,0.00003272667,0.000011434245,0.00005417873,0.00008604824,0.000011103006],"domain_scores_gemma":[0.99971515,0.00011739887,0.000048063055,0.00003134387,0.0000757734,0.000012290929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029563872,0.00038907793,0.00033236813,0.00029058053,0.00010178899,0.00035525943,0.00037235575,0.00037676052,0.0008814646],"category_scores_gemma":[0.0009779041,0.00013495442,0.00022736656,0.00021247711,0.00015883404,0.00036664915,0.00023693392,0.0002632893,0.00036247514],"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":[0.0005044292,0.00031362462,0.0068209195,0.00027095785,0.000116634925,0.0004623053,0.000114711744,0.044670932,0.51612025,0.0012441154,0.0031667477,0.4261944],"study_design_scores_gemma":[0.00005408916,0.0007389154,0.00891014,0.000023014434,0.000049933402,0.00076511555,0.000040897965,0.8084597,0.17473589,0.0007707639,0.005390147,0.000061424755],"about_ca_topic_score_codex":0.00047298562,"about_ca_topic_score_gemma":0.0008480153,"teacher_disagreement_score":0.0008814646,"about_ca_system_score_codex":0.00015705646,"about_ca_system_score_gemma":0.00017050935,"threshold_uncertainty_score":0.002948761},"labels":[],"label_agreement":null},{"id":"W4416960807","doi":"10.1109/embc58623.2025.11251579","title":"Streamlined Gesture and Arm Motion Analysis via Direct EIT Voltage Classification","year":2025,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Toronto Metropolitan University","funders":"","keywords":"Electrical impedance tomography; Gesture; Feature (linguistics); Pipeline (software); Feature extraction; Gesture recognition; Pattern recognition (psychology); Data set; Image (mathematics)","score_opus":0.00446968182992171,"score_gpt":0.20323114513527551,"score_spread":0.1987614633053538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416960807","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15002434,0.0009320658,0.83541137,0.0002565561,0.00018133501,0.00021908042,0.0014773437,0.0064228144,0.005075179],"genre_scores_gemma":[0.69461685,0.0006231372,0.29228336,0.00020137735,0.00010023297,0.00033791034,0.0031706104,0.0002278762,0.008438729],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997514,0.00001914467,0.000018540475,0.000075237316,0.00009512257,0.000040582607],"domain_scores_gemma":[0.9996991,0.00007833985,0.000041739637,0.000035615798,0.00012400752,0.000021129976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020231339,0.0008140244,0.0006293587,0.0012147103,0.00019146124,0.0005806828,0.0004492951,0.00041836436,0.0025288947],"category_scores_gemma":[0.0011510032,0.00019709574,0.00047542335,0.0008121394,0.00019285905,0.00046939045,0.0005140361,0.00045272024,0.0016826446],"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":[0.0004428136,0.00015845407,0.007837182,0.00019815449,0.000053570715,0.0002576338,0.0000718237,0.017258026,0.08985495,0.0008244454,0.004149233,0.8788938],"study_design_scores_gemma":[0.00004653558,0.00042678963,0.04258981,0.00006362043,0.000072034345,0.0007644765,0.00017453449,0.82672286,0.11769829,0.0029095383,0.008457942,0.000073562085],"about_ca_topic_score_codex":0.0016882658,"about_ca_topic_score_gemma":0.0038290573,"teacher_disagreement_score":0.0025288947,"about_ca_system_score_codex":0.00021091061,"about_ca_system_score_gemma":0.00040356425,"threshold_uncertainty_score":0.008460045},"labels":[],"label_agreement":null},{"id":"W4416961897","doi":"10.1109/ist66504.2025.11268415","title":"Lock-in Demodulation of Pulsed Ultrasonic Signals in High Noise Environments","year":2025,"lang":"","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Demodulation; Noise (video); Filter (signal processing); Ultrasonic sensor; SIGNAL (programming language); Electrical impedance tomography; Electronic filter; Pulse (music)","score_opus":0.003961594891424702,"score_gpt":0.19732087303795953,"score_spread":0.19335927814653484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416961897","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.354364,0.00025360016,0.6435438,0.00016364524,0.000034168046,0.00004253961,0.000016955044,0.00035151525,0.0012297349],"genre_scores_gemma":[0.9409307,0.00020810575,0.057675555,0.00005452688,0.0000083903415,0.00002595678,0.000015905513,0.00003219683,0.0010486598],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998568,0.000034721066,0.000005587079,0.000025255562,0.00006312443,0.000014397653],"domain_scores_gemma":[0.99957794,0.0002572001,0.000071136245,0.000043191438,0.00003567542,0.000014887834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039181107,0.0002427688,0.0002459072,0.0001526389,0.00019292673,0.0003477895,0.00048147253,0.00040790078,0.00057378586],"category_scores_gemma":[0.0014479486,0.00016201368,0.00014678412,0.00012107053,0.00051355246,0.00064591947,0.00032124753,0.00031458007,0.00020605278],"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":[0.00025244826,0.00012248018,0.0019242312,0.00013267335,0.000018415503,0.00022058905,0.00027167975,0.04044719,0.90779954,0.005176667,0.00016100238,0.043473057],"study_design_scores_gemma":[0.00003078384,0.000450173,0.0012477135,0.000017531625,0.000021304502,0.00034006062,0.000059172795,0.4009478,0.59310436,0.001930935,0.0018272467,0.000022973134],"about_ca_topic_score_codex":0.00027844214,"about_ca_topic_score_gemma":0.00028522735,"teacher_disagreement_score":0.00057378586,"about_ca_system_score_codex":0.0002813385,"about_ca_system_score_gemma":0.00018246975,"threshold_uncertainty_score":0.0020720959},"labels":[],"label_agreement":null},{"id":"W6893181561","doi":"10.5281/zenodo.15217967","title":"FIGURES 23–27 in Revision of the western Nearctic species of Empis subgenus Enoplempis (Diptera: Empididae)","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electrical and Bioimpedance Tomography","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":"Canadian Food Inspection Agency","funders":"","keywords":"Subgenus; Nearctic ecozone; Terminalia; Taxonomy (biology); Key (lock)","score_opus":0.015899467834733446,"score_gpt":0.22017731927774867,"score_spread":0.20427785144301522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893181561","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029011909,0.01907121,0.026792731,0.0026614778,0.032356855,0.0012651238,0.017878016,0.002500308,0.86846244],"genre_scores_gemma":[0.18363737,0.02095023,0.08521061,0.0018797057,0.005305304,0.0015725498,0.035293598,0.0019989926,0.6641517],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999681,0.000040872284,0.000043245185,0.00008032354,0.0001227928,0.00003187727],"domain_scores_gemma":[0.99957556,0.000032019114,0.0000573464,0.00005369889,0.00024164213,0.00003978183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003849113,0.00079135917,0.0004091938,0.002759165,0.0014544603,0.0008520798,0.000862824,0.00054355385,0.05718352],"category_scores_gemma":[0.0009441273,0.00030402202,0.00045671998,0.0015336549,0.0008757781,0.0015951018,0.00081231364,0.001585026,0.025126537],"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":[0.00033990724,0.000059352657,0.0049822438,0.0009547742,0.000049545954,0.0009275407,0.0013803625,0.0005652188,0.009199412,0.011501278,0.42381138,0.54622895],"study_design_scores_gemma":[0.000005882404,0.00002151805,0.008127133,0.00015211543,0.00001931332,0.0006941539,0.00021742284,0.00012320704,0.000524261,0.00041188407,0.9896945,0.000008645015],"about_ca_topic_score_codex":0.0075670285,"about_ca_topic_score_gemma":0.020855559,"teacher_disagreement_score":0.05718352,"about_ca_system_score_codex":0.00066440745,"about_ca_system_score_gemma":0.0007717344,"threshold_uncertainty_score":0.19129795},"labels":[],"label_agreement":null},{"id":"W6893626766","doi":"10.5281/zenodo.3793337","title":"Epuraea peltoides Horn 1879","year":2008,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electrical and Bioimpedance Tomography","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":true,"ca_institutions":"Canadian Forest Service; Natural Resources Canada; Nova Scotia Hospital","funders":"","keywords":"Nova scotia; French horn; Cline (biology); West virginia; German Federal Republic","score_opus":0.023728741750019412,"score_gpt":0.19842302564003017,"score_spread":0.17469428389001077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893626766","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2894158,0.014624337,0.003896089,0.0006311339,0.00066924957,0.00035949898,0.0036584875,0.00044753903,0.68629795],"genre_scores_gemma":[0.91491646,0.006819787,0.0026212067,0.00085483957,0.000244367,0.00013576398,0.002401332,0.00004509076,0.07196117],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99989665,0.0000074142304,0.000007570065,0.000034094268,0.00003788579,0.000016298081],"domain_scores_gemma":[0.99991643,0.000016233005,0.000025584224,0.0000069318435,0.000024585786,0.000010210054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007215794,0.00057152647,0.0002475525,0.001249269,0.001354819,0.0004856324,0.00041165476,0.00044025548,0.025272256],"category_scores_gemma":[0.00036236856,0.00023303273,0.000115228126,0.0009124498,0.00060882344,0.0010616796,0.0007539931,0.00040069013,0.0043641385],"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":[0.00024635097,0.000101847596,0.06576324,0.000793648,0.00008977387,0.0038911037,0.0021397835,0.00075256114,0.014009215,0.00545186,0.04654069,0.8602199],"study_design_scores_gemma":[0.000046023782,0.00021276475,0.46869293,0.00073472294,0.00012575538,0.00559872,0.0021972398,0.00045314681,0.0025056058,0.001614718,0.51779115,0.000027134334],"about_ca_topic_score_codex":0.014317797,"about_ca_topic_score_gemma":0.04211474,"teacher_disagreement_score":0.025272256,"about_ca_system_score_codex":0.000793613,"about_ca_system_score_gemma":0.00025313802,"threshold_uncertainty_score":0.08454412},"labels":[],"label_agreement":null},{"id":"W6902136596","doi":"10.6084/m9.figshare.27861264","title":"Additional file 3 of Electrical impedance tomography monitoring in adult ICU patients: state-of-the-art, recommendations for standardized acquisition, processing, and clinical use, and future directions","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Electrical and Bioimpedance Tomography","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":"McMaster University; Carleton University","funders":"","keywords":"Electrical impedance tomography; Computed tomography; Tomography; Intensive care unit","score_opus":0.012803108840551082,"score_gpt":0.25870624492643657,"score_spread":0.2459031360858855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902136596","genre_codex":"dataset","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00030357236,0.00009279029,0.0009308837,0.0003827934,0.000074542884,0.00026797884,0.9947915,0.0007955113,0.0023604063],"genre_scores_gemma":[0.013547506,0.00072571094,0.00960997,0.0023355922,0.0006079465,0.0047346563,0.93969494,0.0027488566,0.025994776],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987143,0.00028145552,0.0003683633,0.00024890763,0.00028007865,0.00010689185],"domain_scores_gemma":[0.95247996,0.03766267,0.0023967556,0.001953267,0.0048103984,0.00069686305],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025637895,0.0011754557,0.0015450837,0.0023715883,0.00063082814,0.002006356,0.0018970112,0.0017447277,0.87336653],"category_scores_gemma":[0.057117745,0.0006447533,0.0011663474,0.0026200477,0.00030461387,0.0019737028,0.0013185103,0.0009858477,0.1884476],"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":[0.0008921517,0.00009328978,0.0019250234,0.004390267,0.000061829436,0.000111142894,0.000050818824,0.00034484864,0.00010222396,0.0007381431,0.96565586,0.025634427],"study_design_scores_gemma":[0.006445408,0.0003472313,0.022386402,0.010553275,0.00028514283,0.0011192876,0.0003224129,0.0018444492,0.0011778785,0.015776975,0.93954045,0.00020106761],"about_ca_topic_score_codex":0.0039857007,"about_ca_topic_score_gemma":0.006386399,"teacher_disagreement_score":0.87336653,"about_ca_system_score_codex":0.00089318724,"about_ca_system_score_gemma":0.0016589202,"threshold_uncertainty_score":0.18062729},"labels":[],"label_agreement":null},{"id":"W6902148118","doi":"10.6084/m9.figshare.27861255.v1","title":"Additional file 1 of Electrical impedance tomography monitoring in adult ICU patients: state-of-the-art, recommendations for standardized acquisition, processing, and clinical use, and future directions","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Electrical and Bioimpedance Tomography","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":"McMaster University; Carleton University","funders":"","keywords":"Electrical impedance tomography; Computed tomography; Tomography; Intensive care unit","score_opus":0.012998540140920905,"score_gpt":0.2590427049797517,"score_spread":0.24604416483883076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902148118","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00032339597,0.0000952069,0.00097143126,0.0003702195,0.00005824673,0.0002621074,0.99553585,0.0005088417,0.001874728],"genre_scores_gemma":[0.01700744,0.0009124034,0.010965889,0.0023152947,0.0005715744,0.005958342,0.93821424,0.001977638,0.022077253],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987425,0.00031772794,0.0003394021,0.0002566677,0.00024973403,0.000093923605],"domain_scores_gemma":[0.94954747,0.0415324,0.0023423908,0.0018580599,0.004108778,0.00061101076],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026325127,0.0010642826,0.0013773757,0.0021932204,0.0005959089,0.0016549778,0.0017589914,0.0016130767,0.86496186],"category_scores_gemma":[0.05999545,0.00063470233,0.0009888418,0.0028416826,0.0002927531,0.0019176863,0.0010762679,0.001016937,0.1691241],"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":[0.000711175,0.000108622524,0.0020706975,0.004452139,0.000056971832,0.00010251047,0.000054755423,0.00037681963,0.00008592831,0.0008085979,0.96425235,0.026919508],"study_design_scores_gemma":[0.007007977,0.00046914443,0.029759409,0.01138011,0.00032132794,0.0014037746,0.0003879061,0.0022842675,0.0011470503,0.017189486,0.9284284,0.0002211633],"about_ca_topic_score_codex":0.0033979572,"about_ca_topic_score_gemma":0.0054337117,"teacher_disagreement_score":0.86496186,"about_ca_system_score_codex":0.00081183,"about_ca_system_score_gemma":0.0017302781,"threshold_uncertainty_score":0.19261545},"labels":[],"label_agreement":null},{"id":"W6902162950","doi":"10.6084/m9.figshare.27861261.v1","title":"Additional file 2 of Electrical impedance tomography monitoring in adult ICU patients: state-of-the-art, recommendations for standardized acquisition, processing, and clinical use, and future directions","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Electrical and Bioimpedance Tomography","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":"McMaster University; Carleton University","funders":"","keywords":"Electrical impedance tomography; Computed tomography; Tomography; Intensive care unit","score_opus":0.012614934254815052,"score_gpt":0.2585819809736636,"score_spread":0.24596704671884853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902162950","genre_codex":"dataset","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00032461478,0.00009564585,0.0009978801,0.000396073,0.00007339964,0.00027533807,0.9949032,0.0006718183,0.0022620414],"genre_scores_gemma":[0.015496886,0.0007722685,0.010321863,0.0023443692,0.0006243086,0.005200137,0.9377407,0.0023908403,0.025108607],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99880075,0.00027244652,0.0003304696,0.00024336249,0.0002554309,0.00009755033],"domain_scores_gemma":[0.95338047,0.03750425,0.0022472616,0.0018623376,0.0043534692,0.0006522178],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024783658,0.0010573585,0.0014250171,0.002267582,0.00059690594,0.0018560791,0.001796953,0.0016718036,0.865722],"category_scores_gemma":[0.055880796,0.00061277207,0.0010615708,0.0026278482,0.00029167856,0.0018774772,0.0011725343,0.0009818452,0.17560253],"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":[0.00077218446,0.00009658996,0.0019076613,0.00426258,0.00005519972,0.000108909546,0.00004991152,0.00033914173,0.000092470436,0.0007541703,0.9651006,0.026460597],"study_design_scores_gemma":[0.006129292,0.00035344908,0.024224423,0.009994369,0.00027524124,0.0012020506,0.00032682432,0.0019177251,0.0010934973,0.015525732,0.9387647,0.0001927245],"about_ca_topic_score_codex":0.0034747997,"about_ca_topic_score_gemma":0.0055426527,"teacher_disagreement_score":0.865722,"about_ca_system_score_codex":0.0007888493,"about_ca_system_score_gemma":0.0016233495,"threshold_uncertainty_score":0.1915313},"labels":[],"label_agreement":null},{"id":"W6902175044","doi":"10.6084/m9.figshare.27861261","title":"Additional file 2 of Electrical impedance tomography monitoring in adult ICU patients: state-of-the-art, recommendations for standardized acquisition, processing, and clinical use, and future directions","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Electrical and Bioimpedance Tomography","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":"McMaster University; Carleton University","funders":"","keywords":"Electrical impedance tomography; Computed tomography; Tomography; Intensive care unit","score_opus":0.012614934254815052,"score_gpt":0.2585819809736636,"score_spread":0.24596704671884853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902175044","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00032461478,0.00009564585,0.0009978801,0.000396073,0.00007339964,0.00027533807,0.9949032,0.0006718183,0.0022620414],"genre_scores_gemma":[0.015496886,0.0007722685,0.010321863,0.0023443692,0.0006243086,0.005200137,0.9377407,0.0023908403,0.025108607],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99880075,0.00027244652,0.0003304696,0.00024336249,0.0002554309,0.00009755033],"domain_scores_gemma":[0.95338047,0.03750425,0.0022472616,0.0018623376,0.0043534692,0.0006522178],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024783658,0.0010573585,0.0014250171,0.002267582,0.00059690594,0.0018560791,0.001796953,0.0016718036,0.865722],"category_scores_gemma":[0.055880796,0.00061277207,0.0010615708,0.0026278482,0.00029167856,0.0018774772,0.0011725343,0.0009818452,0.17560253],"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":[0.00077218446,0.00009658996,0.0019076613,0.00426258,0.00005519972,0.000108909546,0.00004991152,0.00033914173,0.000092470436,0.0007541703,0.9651006,0.026460597],"study_design_scores_gemma":[0.006129292,0.00035344908,0.024224423,0.009994369,0.00027524124,0.0012020506,0.00032682432,0.0019177251,0.0010934973,0.015525732,0.9387647,0.0001927245],"about_ca_topic_score_codex":0.0034747997,"about_ca_topic_score_gemma":0.0055426527,"teacher_disagreement_score":0.865722,"about_ca_system_score_codex":0.0007888493,"about_ca_system_score_gemma":0.0016233495,"threshold_uncertainty_score":0.1915313},"labels":[],"label_agreement":null},{"id":"W6902218302","doi":"10.6084/m9.figshare.13632897","title":"Additional file 1 of The use of electrical impedance tomography for individualized ventilation strategy in COVID-19: a case report","year":2021,"lang":"en","type":"article","venue":"Open MIND","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Ventilation (architecture); Electrical impedance; Computed tomography","score_opus":0.0562305473722196,"score_gpt":0.300895613686758,"score_spread":0.24466506631453838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902218302","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014248221,0.0001866924,0.00074781006,0.0009662686,0.00009973016,0.0004269093,0.9904141,0.0002661209,0.005467566],"genre_scores_gemma":[0.07630606,0.0017921088,0.009133284,0.004469059,0.0009950735,0.007990548,0.8585068,0.0008846674,0.039922383],"study_design_codex":"not_applicable","study_design_gemma":"case_report","domain_scores_codex":[0.9994887,0.00009066385,0.00015017914,0.00011519598,0.000095702046,0.00005961711],"domain_scores_gemma":[0.9853925,0.01063515,0.0012910843,0.0006419052,0.0017336108,0.00030578667],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007945025,0.0006039614,0.0009760374,0.0013612866,0.000661397,0.00094703503,0.0010158733,0.0011057656,0.77327603],"category_scores_gemma":[0.02378469,0.00026010335,0.0005123568,0.0018028086,0.00018825369,0.0011082708,0.0006387007,0.00079697405,0.06064725],"study_design_candidate":"case_report","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":[0.0005926944,0.00010744112,0.006065103,0.0025988508,0.000051723764,0.0008074239,0.00009895599,0.00030370447,0.00013244971,0.0013512074,0.9612115,0.02667889],"study_design_scores_gemma":[0.0039245975,0.00049587537,0.06566986,0.011911199,0.00029602487,0.010347321,0.0009922454,0.0028072507,0.0013448992,0.021224998,0.8807521,0.00023363088],"about_ca_topic_score_codex":0.004160424,"about_ca_topic_score_gemma":0.00434641,"teacher_disagreement_score":0.77327603,"about_ca_system_score_codex":0.00084847846,"about_ca_system_score_gemma":0.0014143378,"threshold_uncertainty_score":0.32339418},"labels":[],"label_agreement":null},{"id":"W6912331740","doi":"10.5281/zenodo.2691704","title":"Proceedings of the 20th International Conference on Biomedical Applications of Electrical Impedance Tomography","year":2019,"lang":"en","type":"article","venue":"Repository of Futwangen University of Applied Sciences (Furtwangen University)","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Presentation (obstetrics); Electrical impedance; Computed tomography; Medical imaging","score_opus":0.005670032053240294,"score_gpt":0.16891133460033794,"score_spread":0.16324130254709765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6912331740","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015477676,0.21980517,0.18420915,0.022806644,0.103061005,0.0007719818,0.0025150455,0.0044542314,0.44689906],"genre_scores_gemma":[0.061852526,0.10515838,0.058943864,0.0044935425,0.02088051,0.00054060033,0.0048745717,0.0017145618,0.74154145],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980501,0.00035514336,0.00015247177,0.00028087318,0.0010176643,0.00014379513],"domain_scores_gemma":[0.99594325,0.0006668189,0.00018539498,0.00038328246,0.0022959881,0.0005252013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030486654,0.0012975218,0.0013572217,0.0025853147,0.000806904,0.0050283163,0.0012395297,0.0020575654,0.104460955],"category_scores_gemma":[0.0041958853,0.0004036439,0.0008673766,0.001593894,0.0011961282,0.0022241296,0.0022272374,0.0024187958,0.0634433],"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":[0.00039738294,0.00016210346,0.0017120829,0.0010195968,0.00015675089,0.0005300003,0.00028230477,0.000798749,0.0207999,0.00939958,0.41325784,0.55148363],"study_design_scores_gemma":[0.000017938633,0.0001105524,0.0025155467,0.00035137063,0.000060241728,0.0009818875,0.0001345005,0.0014403166,0.0043829866,0.003808751,0.98615474,0.00004126214],"about_ca_topic_score_codex":0.0014705901,"about_ca_topic_score_gemma":0.0019528293,"teacher_disagreement_score":0.104460955,"about_ca_system_score_codex":0.0008709025,"about_ca_system_score_gemma":0.0019303702,"threshold_uncertainty_score":0.34945673},"labels":[],"label_agreement":null},{"id":"W6930274268","doi":"10.5281/zenodo.1328279","title":"mrivis: neuroimaging visualization library and development toolkit","year":2018,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electrical and Bioimpedance Tomography","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 Toronto","funders":"","keywords":"Visualization; Neuroimaging; Information visualization; Data visualization; Development (topology)","score_opus":0.015747410883939033,"score_gpt":0.20738223813186354,"score_spread":0.19163482724792452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930274268","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010943848,0.00077523687,0.32834962,0.0007392623,0.000263456,0.00032105888,0.07359723,0.5707298,0.024130015],"genre_scores_gemma":[0.022081384,0.0022417014,0.34244043,0.0012477156,0.00025590658,0.0022544374,0.24459773,0.3263724,0.05850824],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99922013,0.00013373565,0.000091748676,0.0001100114,0.00033657308,0.00010774098],"domain_scores_gemma":[0.99804,0.00060451246,0.00007996777,0.00046338927,0.00059143576,0.00022073452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001581829,0.0029045301,0.0014480023,0.0034196072,0.00062367506,0.0037203033,0.0049422514,0.0019204317,0.15140271],"category_scores_gemma":[0.0071562235,0.0020821989,0.0020568038,0.0024638413,0.00047181008,0.0030079558,0.003942389,0.0029932344,0.11457886],"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":[0.00015135085,0.000042452757,0.0002235492,0.0005545151,0.00007259116,0.0001608961,0.0001229839,0.0025203535,0.0017440723,0.0058524865,0.9248639,0.06369092],"study_design_scores_gemma":[0.00033226953,0.000029675897,0.00069075066,0.00028661703,0.00009377724,0.0007133812,0.00006356224,0.04006115,0.012646999,0.035515502,0.9093678,0.00019856128],"about_ca_topic_score_codex":0.00581367,"about_ca_topic_score_gemma":0.008634924,"teacher_disagreement_score":0.15140271,"about_ca_system_score_codex":0.00070375577,"about_ca_system_score_gemma":0.0020720134,"threshold_uncertainty_score":0.5064925},"labels":[],"label_agreement":null},{"id":"W6931641216","doi":"10.5281/zenodo.7734700","title":"Neuronal activation in the geomagnetic responsive region Cluster N covaries with nocturnal migratory restlessness in white-throated sparrows","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electrical and Bioimpedance Tomography","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":"Western University","funders":"","keywords":"Nocturnal; Cluster (spacecraft); Forebrain; Circadian rhythm; Gene cluster; Earth's magnetic field; Sleep (system call); Cluster size","score_opus":0.01830224828904695,"score_gpt":0.20412995706484616,"score_spread":0.1858277087757992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931641216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997309,0.000037283957,0.00006492282,0.0000020194188,5.424659e-7,0.0000015451692,0.000044211454,0.0000037259128,0.00011476713],"genre_scores_gemma":[0.9992594,0.000030409577,0.00017646512,0.000013651084,0.0000014096047,0.000008331128,0.00014046999,0.000004439185,0.0003653633],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999201,0.00000806201,0.000004589352,0.000038208236,0.000009748449,0.00001917588],"domain_scores_gemma":[0.9997639,0.000022085353,0.000098839126,0.000016386884,0.000022994629,0.000075872835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060765917,0.00013860506,0.00017989227,0.00037687906,0.00014817987,0.00019164644,0.00012435229,0.00015752621,0.0005943522],"category_scores_gemma":[0.00015295841,0.00015387166,0.000115589304,0.000114316696,0.00031740952,0.00010583066,0.00021179467,0.00017543901,0.000119166],"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":[0.00066985405,0.000043245047,0.18032385,0.00004182681,0.000052265612,0.00012298978,0.00034500653,0.000080396785,0.8154955,0.000025534415,0.000070516835,0.0027290313],"study_design_scores_gemma":[0.0000016221019,0.00006782141,0.99746007,9.4222315e-7,0.000005250921,0.000054803062,0.000056135967,0.000041030293,0.0022627814,0.000004356252,0.000043316875,0.0000018926006],"about_ca_topic_score_codex":0.0028580246,"about_ca_topic_score_gemma":0.007491181,"teacher_disagreement_score":0.0028580246,"about_ca_system_score_codex":0.0001729656,"about_ca_system_score_gemma":0.00008434873,"threshold_uncertainty_score":0.005682826},"labels":[],"label_agreement":null},{"id":"W6940023843","doi":"10.6084/m9.figshare.27861255","title":"Additional file 1 of Electrical impedance tomography monitoring in adult ICU patients: state-of-the-art, recommendations for standardized acquisition, processing, and clinical use, and future directions","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Electrical and Bioimpedance Tomography","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":"McMaster University; Carleton University","funders":"","keywords":"Electrical impedance tomography; Computed tomography; Tomography; Intensive care unit","score_opus":0.012998540140920905,"score_gpt":0.2590427049797517,"score_spread":0.24604416483883076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6940023843","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00032339597,0.0000952069,0.00097143126,0.0003702195,0.00005824673,0.0002621074,0.99553585,0.0005088417,0.001874728],"genre_scores_gemma":[0.01700744,0.0009124034,0.010965889,0.0023152947,0.0005715744,0.005958342,0.93821424,0.001977638,0.022077253],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987425,0.00031772794,0.0003394021,0.0002566677,0.00024973403,0.000093923605],"domain_scores_gemma":[0.94954747,0.0415324,0.0023423908,0.0018580599,0.004108778,0.00061101076],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026325127,0.0010642826,0.0013773757,0.0021932204,0.0005959089,0.0016549778,0.0017589914,0.0016130767,0.86496186],"category_scores_gemma":[0.05999545,0.00063470233,0.0009888418,0.0028416826,0.0002927531,0.0019176863,0.0010762679,0.001016937,0.1691241],"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":[0.000711175,0.000108622524,0.0020706975,0.004452139,0.000056971832,0.00010251047,0.000054755423,0.00037681963,0.00008592831,0.0008085979,0.96425235,0.026919508],"study_design_scores_gemma":[0.007007977,0.00046914443,0.029759409,0.01138011,0.00032132794,0.0014037746,0.0003879061,0.0022842675,0.0011470503,0.017189486,0.9284284,0.0002211633],"about_ca_topic_score_codex":0.0033979572,"about_ca_topic_score_gemma":0.0054337117,"teacher_disagreement_score":0.86496186,"about_ca_system_score_codex":0.00081183,"about_ca_system_score_gemma":0.0017302781,"threshold_uncertainty_score":0.19261545},"labels":[],"label_agreement":null},{"id":"W6958417235","doi":"10.6068/dp1646373401814","title":"TREND: United States Census Bureau. US International Trade in Goods and Services: Trade Balance - Total, 01/1992 - 04/2018. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 001-022-001","year":2018,"lang":"en","type":"other","venue":"Data Planet","topic":"Electrical and Bioimpedance Tomography","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":"Balance of trade; Census; Balance of payments; Product (mathematics); Goods and services; Commodity; Government (linguistics); Balance (ability); Raw data","score_opus":0.019501534097341858,"score_gpt":0.25038978607538404,"score_spread":0.2308882519780422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958417235","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005360187,0.000025169982,0.00002674628,0.000051297324,0.000024741976,0.0000097781085,0.9992723,0.000042106465,0.00049427705],"genre_scores_gemma":[0.00035745054,0.00008566761,0.00015503526,0.000051568317,0.000020204536,0.00011873031,0.9981139,0.000054627788,0.0010429338],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985991,0.00014887768,0.00023551118,0.00033916163,0.00047834247,0.00019901675],"domain_scores_gemma":[0.99379057,0.00070804043,0.00075562106,0.0005706366,0.003839476,0.00033575372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010406867,0.001770721,0.0014564666,0.005127194,0.0007405674,0.002598884,0.0025180792,0.0012117513,0.08381557],"category_scores_gemma":[0.009642218,0.00095094915,0.0010634491,0.017528534,0.00034055253,0.0026207776,0.0014630021,0.0029935986,0.09913737],"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":[0.0000131668885,0.0000075404478,0.000589229,0.00016790985,0.00001060183,0.000005263614,0.000010992432,0.00006568669,0.00001205213,0.00026540036,0.9977881,0.0010641385],"study_design_scores_gemma":[0.0001392252,0.000010943381,0.0096376045,0.0004091051,0.000031674634,0.00002494716,0.00019618531,0.0002421124,0.0001065974,0.0009088836,0.9882635,0.000029266155],"about_ca_topic_score_codex":0.09409107,"about_ca_topic_score_gemma":0.07285679,"teacher_disagreement_score":0.09409107,"about_ca_system_score_codex":0.002147549,"about_ca_system_score_gemma":0.004171817,"threshold_uncertainty_score":0.28039104},"labels":[],"label_agreement":null},{"id":"W6968755846","doi":"10.5281/zenodo.4635479","title":"Proceedings of the 21st International Conference on Biomedical Applications of Electrical Impedance Tomography","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Presentation (obstetrics); Computed tomography; Tomography","score_opus":0.015844264899048072,"score_gpt":0.22184385543456095,"score_spread":0.20599959053551287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6968755846","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01662579,0.20410696,0.20575382,0.018136911,0.09916808,0.0007641355,0.0027428053,0.004401624,0.44829997],"genre_scores_gemma":[0.06307122,0.101564154,0.06765456,0.0033413353,0.01795596,0.00048691142,0.0051251934,0.002063178,0.7387374],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979832,0.0003450656,0.00013495628,0.0002738128,0.0011253788,0.00013765246],"domain_scores_gemma":[0.9961384,0.0006479464,0.00016894586,0.00038381355,0.0021698428,0.00049101596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002960376,0.0012252318,0.0013387084,0.0024552378,0.0008005629,0.005020538,0.0012078523,0.0019625411,0.08491043],"category_scores_gemma":[0.0037904421,0.0004960409,0.00087718864,0.0014990759,0.0011904904,0.0022895236,0.0021749744,0.0025660794,0.051310588],"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":[0.00049121614,0.00017468401,0.0014902375,0.0010563612,0.0001668947,0.0005720413,0.00030387595,0.0012157055,0.030804938,0.012364643,0.43819383,0.51316553],"study_design_scores_gemma":[0.000021296406,0.00013160292,0.0022397793,0.00027886973,0.000053746193,0.0009306129,0.00011692198,0.0018076061,0.006345706,0.004204425,0.98382366,0.000045672477],"about_ca_topic_score_codex":0.0015895065,"about_ca_topic_score_gemma":0.0021153442,"teacher_disagreement_score":0.08491043,"about_ca_system_score_codex":0.00088998507,"about_ca_system_score_gemma":0.0018540606,"threshold_uncertainty_score":0.28405368},"labels":[],"label_agreement":null},{"id":"W6977139829","doi":"10.6084/m9.figshare.13632897.v1","title":"Additional file 1 of The use of electrical impedance tomography for individualized ventilation strategy in COVID-19: a case report","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Electrical and Bioimpedance Tomography","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":"Carleton University","funders":"","keywords":"Electrical impedance tomography; Ventilation (architecture); Electrical impedance; Computed tomography","score_opus":0.054210710710438245,"score_gpt":0.2700707224300698,"score_spread":0.21586001171963154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977139829","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001211873,0.00017647947,0.00073488604,0.00092899805,0.000103327984,0.0004001623,0.9906895,0.00029567155,0.0054589757],"genre_scores_gemma":[0.0693651,0.0017008934,0.009126685,0.0045124544,0.0010096021,0.0072504794,0.8652064,0.0010603671,0.040767975],"study_design_codex":"not_applicable","study_design_gemma":"case_report","domain_scores_codex":[0.9994949,0.00008874688,0.00014402553,0.00011788005,0.000093001945,0.000061383835],"domain_scores_gemma":[0.9850004,0.011156875,0.0011721962,0.0006611197,0.0017007799,0.00030864516],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008040219,0.0006501123,0.0010251694,0.0014426351,0.00067645765,0.0010252539,0.00109419,0.0011443158,0.8158323],"category_scores_gemma":[0.024133135,0.00028799844,0.00056138245,0.0019246807,0.00020500261,0.0012049715,0.00068597327,0.00081156695,0.076592885],"study_design_candidate":"case_report","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":[0.00052612834,0.00008808659,0.0049518174,0.002324891,0.0000457432,0.00072526955,0.00008515527,0.00029534497,0.000115646726,0.0012179234,0.96574056,0.02388338],"study_design_scores_gemma":[0.0039298986,0.00046275367,0.05885868,0.011236216,0.00027825512,0.010302621,0.00090125034,0.0027863192,0.0012435446,0.021695066,0.8880729,0.0002324126],"about_ca_topic_score_codex":0.004196567,"about_ca_topic_score_gemma":0.0041950825,"teacher_disagreement_score":0.8158323,"about_ca_system_score_codex":0.0008674849,"about_ca_system_score_gemma":0.0013371413,"threshold_uncertainty_score":0.26269287},"labels":[],"label_agreement":null},{"id":"W7008431485","doi":"","title":"Capacitance-based microvolume liquid-level sensor array","year":2006,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Genome Canada","keywords":"Calibration; Capacitance; Transducer; Capacitance probe; SIGNAL (programming language); Automation; Capacitive sensing; Sensor array; Transductor","score_opus":0.012213353850937005,"score_gpt":0.20101798495249862,"score_spread":0.18880463110156162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008431485","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14382128,0.003987259,0.83391404,0.00093536405,0.00068249134,0.000557229,0.0018581847,0.0055811796,0.008663088],"genre_scores_gemma":[0.3373347,0.0018461928,0.6445138,0.0007392081,0.00014184014,0.0005164113,0.0013265538,0.00015667905,0.013424551],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987336,0.00012224932,0.00004650046,0.0004325466,0.000592109,0.000072989285],"domain_scores_gemma":[0.9996681,0.00008225695,0.0000389581,0.0000338854,0.00014162232,0.00003521659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053110754,0.00047183168,0.0005979218,0.00049936865,0.00031754572,0.0007629079,0.0018502472,0.0010937366,0.0023642022],"category_scores_gemma":[0.00081540673,0.00040543228,0.00026347258,0.00065641693,0.0003202537,0.00061008014,0.00058452896,0.00085334206,0.0012419252],"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":[0.000038793158,0.000021987664,0.000072955874,0.00006507259,0.0000047766275,0.000020647836,0.000011907176,0.00038665454,0.9867938,0.00043429254,0.0006249496,0.011524043],"study_design_scores_gemma":[0.000019617106,0.00018272769,0.0008303325,0.0000065865042,0.000017823224,0.00022719671,0.000011167773,0.014196768,0.97434616,0.0001670502,0.00995069,0.000043944485],"about_ca_topic_score_codex":0.0010052751,"about_ca_topic_score_gemma":0.0023425717,"teacher_disagreement_score":0.0023642022,"about_ca_system_score_codex":0.00094540603,"about_ca_system_score_gemma":0.00060257694,"threshold_uncertainty_score":0.007909},"labels":[],"label_agreement":null},{"id":"W7095105076","doi":"","title":"3rd World Congress on Industrial Process Tomography, Banff, Canada Optimal Control in Process Tomography","year":2008,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Optimal control; Process (computing); Process control; Control (management); Tomography; Control system; Automatic control","score_opus":0.010438675557609535,"score_gpt":0.19979995485503468,"score_spread":0.18936127929742516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095105076","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011808077,0.19945681,0.29686,0.018152535,0.022265272,0.00037029333,0.0010347433,0.0021913631,0.44786087],"genre_scores_gemma":[0.05827495,0.08072197,0.069743656,0.0012956843,0.004131546,0.00019662196,0.001113904,0.0005943196,0.78392726],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990657,0.00014719748,0.000033151555,0.0001416254,0.00047805416,0.00013438525],"domain_scores_gemma":[0.998811,0.00017662444,0.000026810785,0.00011328235,0.0007257006,0.00014656164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024397725,0.001456269,0.00085017306,0.0024691771,0.0010987855,0.0028675813,0.0015029666,0.0016603384,0.061182998],"category_scores_gemma":[0.0012921385,0.00043076545,0.0005686003,0.0022096753,0.001840256,0.0012643298,0.0015736133,0.0017750451,0.015388098],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029229108,0.00014908962,0.001244188,0.00059633976,0.00006301496,0.00040052415,0.00018662473,0.0077940016,0.007380613,0.03698702,0.27374816,0.6711582],"study_design_scores_gemma":[0.00002100768,0.00006902436,0.0017334189,0.00023630081,0.000031956362,0.00034764293,0.00008718459,0.008871575,0.0035177474,0.005954825,0.97909194,0.000037439524],"about_ca_topic_score_codex":0.07355125,"about_ca_topic_score_gemma":0.13355069,"teacher_disagreement_score":0.92644876,"about_ca_system_score_codex":0.004810862,"about_ca_system_score_gemma":0.005147351,"threshold_uncertainty_score":0.20467752},"labels":[],"label_agreement":null},{"id":"W7097156020","doi":"","title":"METABOLIC CORRELATES IN SPINAL CORD COMPRESSION MEASURED BY MAGNETIC RESONANCE SPECTROSCOPY IN THE MOTOR AND SENSORY","year":2015,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Sensory system; Compression (physics); Magnetic resonance imaging; Spectroscopy; Spinal cord","score_opus":0.01675223607766135,"score_gpt":0.23326201368352747,"score_spread":0.21650977760586612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097156020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986877,0.00025237977,0.00012142527,0.000042689328,0.0000038810267,0.000009180544,0.00014169568,0.0000044646413,0.00073652435],"genre_scores_gemma":[0.999037,0.00023052351,0.00007968648,0.000024915802,0.000009183038,0.000011119448,0.00015137275,0.000004154416,0.0004520399],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992096,0.000010807119,0.000006751425,0.000013584046,0.000021972699,0.00002590187],"domain_scores_gemma":[0.99954873,0.0001311702,0.00016617973,0.000016877648,0.00006681245,0.00007017474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017809223,0.00019690227,0.00022217898,0.00064722216,0.0002463552,0.0005747733,0.00016493644,0.0003782232,0.0030543678],"category_scores_gemma":[0.0013284278,0.00015564644,0.000092678565,0.0006435132,0.00045769295,0.0002919593,0.0003100079,0.00044485615,0.00030924127],"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":[0.013619146,0.00063766644,0.6586999,0.00031564504,0.00031037795,0.0029361807,0.0019732013,0.0009490032,0.26410264,0.0007446634,0.00084871793,0.05486283],"study_design_scores_gemma":[0.000017756167,0.00023385012,0.9952945,0.000013284658,0.000028084249,0.0004930954,0.00030536624,0.00025533556,0.0031555681,0.000091005815,0.000106292624,0.000005773793],"about_ca_topic_score_codex":0.0041843415,"about_ca_topic_score_gemma":0.005781452,"teacher_disagreement_score":0.0041843415,"about_ca_system_score_codex":0.00032460663,"about_ca_system_score_gemma":0.00033219645,"threshold_uncertainty_score":0.010217905},"labels":[],"label_agreement":null},{"id":"W7097197415","doi":"","title":"Blood Flow to Monitor Cardiac Output:","year":2010,"lang":"en","type":"article","venue":"","topic":"Electrical and Bioimpedance Tomography","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":"Electrical impedance tomography; Cardiac imaging; Data acquisition; Ventricle; Blood flow; Cardiac monitoring; Temporal resolution; Coronary artery disease","score_opus":0.003323432845368948,"score_gpt":0.18098464791254495,"score_spread":0.177661215067176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097197415","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14545597,0.023309456,0.7660135,0.0036250432,0.0021775768,0.0010469666,0.003054666,0.0043523675,0.05096433],"genre_scores_gemma":[0.6572311,0.01499932,0.27651727,0.0015575227,0.001224057,0.0012317859,0.001376163,0.0005463145,0.04531647],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996929,0.000039038845,0.000020709502,0.000106530664,0.00011576307,0.000025031652],"domain_scores_gemma":[0.999666,0.00010571713,0.00003937535,0.00004152366,0.00012395377,0.000023470067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044213436,0.00044539137,0.0003897952,0.0005190314,0.00020766715,0.0009709297,0.00054827903,0.00049717556,0.004823203],"category_scores_gemma":[0.000825298,0.00020414747,0.00021211944,0.00046626254,0.00039298544,0.0007400488,0.00033046637,0.0006275382,0.0017757617],"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":[0.0008133292,0.00025079996,0.013909279,0.0009783662,0.0000729477,0.00020755416,0.00024546377,0.004919326,0.3022119,0.010204421,0.017365003,0.6488216],"study_design_scores_gemma":[0.0001590326,0.0016175647,0.08120768,0.00056304096,0.0002831234,0.0029631152,0.00022514779,0.07234597,0.6362328,0.011078279,0.19315264,0.0001715718],"about_ca_topic_score_codex":0.0006964268,"about_ca_topic_score_gemma":0.00057237584,"teacher_disagreement_score":0.004823203,"about_ca_system_score_codex":0.0004064059,"about_ca_system_score_gemma":0.00033499606,"threshold_uncertainty_score":0.016135216},"labels":[],"label_agreement":null}]}