{"meta":{"query_hash":"3ff90e6e43b1","filters":{"venue":"Physiological Measurement"},"cohort_total":237,"direct_labels_cover":0,"predictions_cover":237,"exported":237,"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/3ff90e6e43b1","api":"https://metacan.xera.ac/api/v1/cohort?venue=Physiological+Measurement"},"results":[{"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":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011955579,0.21590106,0.0003371081,0.00244058,0.77722704,0.00095280824,0.0001545318,0.0010725169,0.00071878405],"genre_scores_gemma":[0.019389555,0.14481875,0.00055603427,0.0017299763,0.8328205,0.00030109577,0.00013408619,0.00016051269,0.00008953267],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965973,0.00008755147,0.00042273855,0.0006852421,0.00154156,0.0006656474],"domain_scores_gemma":[0.99867076,0.00011400015,0.00012347684,0.0003540804,0.0004366875,0.00030099225],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047160254,0.0006084979,0.0008257708,0.000101597194,0.00012859977,0.0003802218,0.00036318315,0.0007917539,0.000064375236],"category_scores_gemma":[0.00014854672,0.00043039225,0.00024340258,0.000277686,0.00012466006,0.00024928438,0.00011070744,0.0010855283,0.000051180163],"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":[0.000030197272,0.00005721177,0.0000031736984,0.00032093714,0.00014659898,0.0000063756124,0.000053783053,0.00005462515,0.0038155732,0.0000022481252,0.97923124,0.016278025],"study_design_scores_gemma":[0.00039211827,0.0002455339,0.00008436659,0.0010174995,0.000082644896,6.742855e-7,0.000045240486,0.00016313948,0.00055911246,0.0006610567,0.99612004,0.0006285532],"about_ca_topic_score_codex":0.000017381308,"about_ca_topic_score_gemma":0.000016884756,"teacher_disagreement_score":0.0710823,"about_ca_system_score_codex":0.0002187988,"about_ca_system_score_gemma":0.000053005333,"threshold_uncertainty_score":0.9998148},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55822533,0.023237985,0.3789086,0.001220873,0.0027922913,0.0052755685,0.00014898439,0.025441132,0.004749247],"genre_scores_gemma":[0.98270816,0.00007255092,0.01634532,0.00018217307,0.00034607362,0.00029990185,0.000010085142,0.00003168211,0.0000040435602],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997953,0.000044961784,0.00033858616,0.00038441207,0.00055559963,0.00072347006],"domain_scores_gemma":[0.9988767,0.0001961749,0.000048056005,0.0002553124,0.0002898398,0.0003339358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040204581,0.00031415783,0.00038335848,0.000102087164,0.000082610364,0.000038980506,0.0003043551,0.00021243024,0.000011112776],"category_scores_gemma":[0.0006358385,0.0002279383,0.00025398532,0.0009746681,0.000067259556,0.00007123583,0.000027290336,0.00032387904,0.000036896043],"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":[0.0007187286,0.003738252,0.008636018,0.0005311598,0.00092542625,0.000029821127,0.00023739575,0.044158213,0.58078593,0.01829731,0.25745085,0.084490895],"study_design_scores_gemma":[0.0038747631,0.0073568476,0.06369594,0.0002958989,0.00024461452,0.00002214494,0.00005580601,0.6749614,0.07219116,0.1615925,0.0125401495,0.0031688036],"about_ca_topic_score_codex":0.0000026653538,"about_ca_topic_score_gemma":0.000001259652,"teacher_disagreement_score":0.63080317,"about_ca_system_score_codex":0.00014699173,"about_ca_system_score_gemma":0.000030134643,"threshold_uncertainty_score":0.92950547},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978645,0.00061621144,0.000765823,0.000015914793,0.000050105446,0.0005036412,0.000011384824,0.0001191787,0.00005327403],"genre_scores_gemma":[0.99959254,0.000017481389,0.00026293044,0.000018005145,0.000027272343,0.000066924935,0.0000032890985,0.000010766813,7.6928256e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981972,0.00016014362,0.00040404752,0.00025636193,0.00070981844,0.00027246022],"domain_scores_gemma":[0.99922895,0.000049859,0.000078210884,0.00022941786,0.0002771744,0.00013638714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005158228,0.00020318128,0.00042693713,0.00010809109,0.000030804356,0.000006290864,0.00012333834,0.000077451856,0.0000012704675],"category_scores_gemma":[0.00013683968,0.00015025506,0.00015626758,0.00068828766,0.000057932684,0.00007036402,0.000018156063,0.00019042198,0.000003850159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027898478,0.0031838657,0.020121546,0.00015527534,0.00035389824,0.000029749832,0.0005015161,0.28521815,0.6576006,0.000094849995,0.0031736426,0.02928793],"study_design_scores_gemma":[0.0045370604,0.026332824,0.4208944,0.00028576844,0.00047344682,0.00006552579,0.0006251294,0.119432524,0.42195043,0.0032699024,0.00022957301,0.0019034018],"about_ca_topic_score_codex":0.00009752048,"about_ca_topic_score_gemma":0.0000028219333,"teacher_disagreement_score":0.40077287,"about_ca_system_score_codex":0.00008578496,"about_ca_system_score_gemma":0.000015905523,"threshold_uncertainty_score":0.61272234},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98647904,0.0016787462,0.011239396,0.000009286741,0.000068399175,0.00019513867,0.000023537548,0.000059363534,0.0002471015],"genre_scores_gemma":[0.999511,0.00012369221,0.0002802965,0.0000035782373,0.000020585512,0.00002608297,0.000028498518,0.0000058351284,4.3571404e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986323,0.00006797381,0.00037638706,0.00016033475,0.0005229828,0.00024001529],"domain_scores_gemma":[0.9995766,0.000025712734,0.00007906649,0.00010486808,0.00013982595,0.000073894174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044326414,0.00012848209,0.00029157102,0.00007860904,0.000013118551,0.000004673443,0.0001080763,0.00007118429,0.0000040108157],"category_scores_gemma":[0.000055071076,0.00009990926,0.00010168867,0.00080005795,0.00004656628,0.00005980995,0.000015220727,0.00014499808,4.6238657e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006889474,0.00048586164,0.032654583,0.000083658095,0.00004889267,7.6315945e-7,0.00002027266,0.0024354192,0.9547094,0.0010355207,0.0012464512,0.0072102663],"study_design_scores_gemma":[0.0010320974,0.0013090882,0.72575986,0.00012832241,0.00003364949,7.067459e-7,0.000027609109,0.019491011,0.24731502,0.004337558,0.00022302347,0.00034207813],"about_ca_topic_score_codex":0.000010961973,"about_ca_topic_score_gemma":0.0000020676873,"teacher_disagreement_score":0.7073944,"about_ca_system_score_codex":0.00017411531,"about_ca_system_score_gemma":0.000020369049,"threshold_uncertainty_score":0.40741813},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880694,0.007555009,0.0013622958,0.00032077677,0.0005242528,0.0008891429,0.0000110867095,0.00066699483,0.0006010228],"genre_scores_gemma":[0.9992585,0.000045690187,0.00030019684,0.00007565661,0.00017868371,0.00010567138,0.0000064695305,0.000025033398,0.0000040932923],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965347,0.00017266093,0.0005714401,0.00037608462,0.0018605393,0.00048455724],"domain_scores_gemma":[0.99838203,0.000021078606,0.0001280798,0.00044056703,0.0006838182,0.00034444223],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009174735,0.00035812426,0.0005086381,0.000092320304,0.000052566927,0.000019073676,0.00038394998,0.00014917913,0.000016479782],"category_scores_gemma":[0.00029068312,0.00024923726,0.00019338592,0.00038717352,0.00010333596,0.00008509376,0.000070394126,0.00027887846,0.000014028564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000461205,0.00025208,0.0017334973,0.00022744016,0.0004349993,0.0000012075776,0.000118456235,0.0008920372,0.9918117,0.000045762295,0.001974636,0.002462081],"study_design_scores_gemma":[0.0018743417,0.0013189941,0.082656294,0.0002646703,0.00081454765,0.000004450627,0.000034038727,0.0058148736,0.89036065,0.015644606,0.00040003538,0.00081248186],"about_ca_topic_score_codex":0.000012885189,"about_ca_topic_score_gemma":0.0000054648335,"teacher_disagreement_score":0.10145102,"about_ca_system_score_codex":0.000101674224,"about_ca_system_score_gemma":0.000037253965,"threshold_uncertainty_score":0.999996},"labels":[],"label_agreement":null},{"id":"W1883493878","doi":"10.1088/0967-3334/36/12/n127","title":"Identification of oxygen-19 during<i>in vivo</i>neutron activation analysis of water phantoms","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Radiation Therapy and Dosimetry","field":"Medicine","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":"McMaster University","funders":"","keywords":"Neutron; Proton; Radiochemistry; Irradiation; Neutron activation analysis; Physics; Gamma ray; Neutron activation; Nuclear physics; Analytical Chemistry (journal); Materials science; Chemistry","score_opus":0.08409172894354877,"score_gpt":0.3048439074873626,"score_spread":0.22075217854381385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1883493878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991239,0.00009602876,0.00019002028,0.0002292426,0.000038635924,0.00023296407,0.000003777032,0.000015547046,0.000069917],"genre_scores_gemma":[0.9997668,0.000021255419,0.000026001679,0.000086720975,0.000033016215,0.000020757949,0.000018425406,0.0000043218197,0.000022683978],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986107,0.00009958249,0.0004597114,0.00018954625,0.0005148107,0.00012567964],"domain_scores_gemma":[0.99927396,0.000014584898,0.00016901377,0.00021295715,0.00025369923,0.000075764285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006588472,0.00008723089,0.00035481583,0.0002522586,0.00001509806,0.0000030320568,0.00006410709,0.00006168137,0.000083204395],"category_scores_gemma":[0.00012573223,0.000055652512,0.0001241491,0.00047527227,0.000037870006,0.000060824386,0.000013070047,0.000061154824,0.0000042457546],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000574884,0.00047727703,0.0068242303,0.000052008054,0.00026989845,3.6130638e-7,0.00026417957,0.0019871644,0.989344,0.000027172002,0.00005550366,0.00012329355],"study_design_scores_gemma":[0.0007042538,0.00012333153,0.4152352,0.000013021393,0.000120358534,1.4816295e-7,0.000052111714,0.00042406772,0.5831871,0.000085497275,0.000016748914,0.000038166458],"about_ca_topic_score_codex":0.000029028355,"about_ca_topic_score_gemma":0.0000021635005,"teacher_disagreement_score":0.40841097,"about_ca_system_score_codex":0.00015596965,"about_ca_system_score_gemma":0.000020072439,"threshold_uncertainty_score":0.22694436},"labels":[],"label_agreement":null},{"id":"W1933835782","doi":"10.1088/0967-3334/36/7/1517","title":"Phase contrast MR imaging measurements of blood flow in healthy human cerebral vessel segments","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Advanced MRI Techniques and Applications","field":"Medicine","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":"Foothills Medical Centre; University of Calgary","funders":"Alberta Innovates; University of Calgary; Canada Research Chairs; Natural Sciences and Engineering Research Council of Canada; Alberta Health Services; World Health Organization","keywords":"Standard deviation; Hemodynamics; Population; Magnetic resonance imaging; Coefficient of variation; Blood flow; Nuclear magnetic resonance; Nuclear medicine; Mathematics; Medicine; Physics; Radiology; Cardiology; Statistics","score_opus":0.20894429456453845,"score_gpt":0.3970744420845219,"score_spread":0.18813014751998347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1933835782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837943,0.0007586896,0.010415575,0.0009988385,0.00008380753,0.0019101545,0.000022239627,0.0001856971,0.0018307074],"genre_scores_gemma":[0.9883346,0.000012000577,0.010881645,0.00042126805,0.000082400555,0.00021025623,0.00003495563,0.00001651901,0.0000063421044],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99793506,0.00008064895,0.0005289845,0.0003768705,0.0007171778,0.00036124507],"domain_scores_gemma":[0.9988444,0.000010010518,0.00017045927,0.00033033613,0.0003793859,0.0002653972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006383972,0.00019876662,0.0004641824,0.00007329433,0.00005938683,0.000006112854,0.00014082124,0.000057858215,0.00003070826],"category_scores_gemma":[0.00011160999,0.00015624311,0.0000871469,0.00019456891,0.00009205437,0.000063828345,0.000057284014,0.00020800707,0.0000072993157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000571899,0.007576393,0.0062570875,0.00006112491,0.000040546314,0.000008001931,0.0000820735,0.0001082383,0.9785191,0.00021079149,0.00093566003,0.0056291153],"study_design_scores_gemma":[0.08633396,0.015181852,0.06093331,0.0013339801,0.0006245253,0.00004928183,0.00057243556,0.0027339214,0.81290495,0.016413223,0.0016148025,0.001303775],"about_ca_topic_score_codex":0.000040981682,"about_ca_topic_score_gemma":0.000005290932,"teacher_disagreement_score":0.16561413,"about_ca_system_score_codex":0.0002164217,"about_ca_system_score_gemma":0.000090624795,"threshold_uncertainty_score":0.6371409},"labels":[],"label_agreement":null},{"id":"W1953663339","doi":"10.1088/0967-3334/36/7/n103","title":"Non-invasive measurement of tibialis anterior muscle temperature during rest, cycling exercise and post-exercise recovery","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Thermoregulation and physiological responses","field":"Medicine","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":"University of Ottawa","funders":"Directorate-General for Research and Innovation; FP7 People: Marie-Curie Actions; European Commission","keywords":"Supine position; Cycling; Medicine; Tibialis anterior muscle; Heart rate; Mean difference; Rest (music); Cardiology; Internal medicine; Confidence interval; Skeletal muscle; Blood pressure","score_opus":0.07872938202863328,"score_gpt":0.28245729008644394,"score_spread":0.20372790805781066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1953663339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962882,0.0022462127,0.0000049149453,0.00020603347,0.00014848585,0.00088773126,0.000017634427,0.00007460656,0.00012620234],"genre_scores_gemma":[0.9984311,0.0006883938,0.00037496074,0.00020301066,0.00014962954,0.00006409645,0.000012714781,0.000022696157,0.00005339911],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9972805,0.00014804133,0.00055117364,0.0005433309,0.0011092759,0.00036770623],"domain_scores_gemma":[0.997774,0.000048824746,0.00021509483,0.00041293056,0.0011185156,0.0004306437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087842933,0.00032563033,0.00081751385,0.00009850298,0.000110186,0.000025016387,0.00014191802,0.0001947197,0.00007125458],"category_scores_gemma":[0.0012296748,0.00021767021,0.00021413332,0.0001917177,0.00017028762,0.00009681241,0.00013372955,0.00024638584,0.00001711645],"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":[0.007867494,0.00040276186,0.00017705518,0.00024364541,0.00005569125,0.000018231713,0.00020761297,0.000062046995,0.98330516,0.0000046585574,0.00018677993,0.0074688485],"study_design_scores_gemma":[0.002036125,0.0011354696,0.7272645,0.002050555,0.00011957236,0.000007651035,0.00026258526,0.00001714186,0.2666032,0.00023017962,0.000028744842,0.0002442679],"about_ca_topic_score_codex":0.00004028316,"about_ca_topic_score_gemma":0.0000050674753,"teacher_disagreement_score":0.72708744,"about_ca_system_score_codex":0.0002022277,"about_ca_system_score_gemma":0.00018771307,"threshold_uncertainty_score":0.8876333},"labels":[],"label_agreement":null},{"id":"W1961621860","doi":"10.1088/0967-3334/36/10/2089","title":"Does heart rate variability reflect the systemic inflammatory response in a fetal sheep model of lipopolysaccharide-induced sepsis?","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":54,"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; Ottawa Hospital; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Fonds de Recherche du Québec - Santé; Mitacs; Molly Towell Perinatal Research Foundation; Canadian Institutes of Health Research; Children Neurodevelopmental Disorders Network","keywords":"Medicine; Sepsis; Fetus; Lipopolysaccharide; Inflammation; Chorioamnionitis; Neonatal sepsis; Internal medicine; Immunology; Biology; Pregnancy","score_opus":0.1254966537778164,"score_gpt":0.309683255996817,"score_spread":0.1841866022190006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1961621860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945977,0.000043109103,0.00031850365,0.0034445599,0.00018386982,0.0012665427,0.000006858376,0.00006363284,0.00007527264],"genre_scores_gemma":[0.9990487,0.000003611315,0.00015899187,0.00047615528,0.00009650389,0.00018287166,0.000001476606,0.000012389867,0.000019262188],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.995399,0.0023134605,0.000847144,0.00050374295,0.00054539164,0.00039126424],"domain_scores_gemma":[0.9980207,0.00043906388,0.00018555715,0.0007508705,0.0003847583,0.00021905807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013279775,0.00024250288,0.0007537106,0.00006867363,0.000061074934,0.000014259383,0.00019379385,0.00017583245,0.000025868367],"category_scores_gemma":[0.0047904775,0.000113596994,0.00020183064,0.00016098397,0.00014254684,0.00007660411,0.000105299776,0.00044730568,0.000023529547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026903856,0.00038383773,0.0011170465,0.000095411655,0.000050485683,0.0000030638023,0.00054365396,0.0022511978,0.9924084,0.0001313201,0.000025449908,0.00029976168],"study_design_scores_gemma":[0.014172323,0.005003266,0.33556443,0.0014458037,0.00037326716,0.00003708971,0.0020413336,0.23644146,0.37817052,0.024956584,0.00049196417,0.0013019582],"about_ca_topic_score_codex":0.000082301,"about_ca_topic_score_gemma":0.000016103484,"teacher_disagreement_score":0.61423784,"about_ca_system_score_codex":0.0006299101,"about_ca_system_score_gemma":0.00092797267,"threshold_uncertainty_score":0.5734995},"labels":[],"label_agreement":null},{"id":"W1963620317","doi":"10.1088/0967-3334/28/8/016","title":"Mobile detection system to evaluate reactive hyperemia using radionuclide plethysmography","year":2007,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Reactive hyperemia; Plethysmograph; Radionuclide; Medicine; Reproducibility; Intraclass correlation; Biomedical engineering; Nuclear medicine; Blood flow; Cardiology; Chemistry; Chromatography; Physics","score_opus":0.13541537474599483,"score_gpt":0.35249970631589816,"score_spread":0.21708433156990334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963620317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99058807,0.00015864051,0.0071217464,0.000017373468,0.00019734995,0.0010691143,0.0000034962688,0.00021999027,0.00062424893],"genre_scores_gemma":[0.9976044,0.000004660823,0.0016038294,0.0004020628,0.00027391035,0.00007067218,0.0000047254416,0.000018532473,0.00001717799],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99769247,0.0002368357,0.00039699508,0.0004746541,0.0007758646,0.0004232063],"domain_scores_gemma":[0.9986869,0.00011004802,0.000118817596,0.00031964277,0.00040691404,0.00035768945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013735406,0.00024216638,0.00044079986,0.00014361751,0.00016349393,0.000013181506,0.000100150086,0.00014550948,0.00007874237],"category_scores_gemma":[0.00037519858,0.00016115104,0.00023951099,0.0004552834,0.00007441754,0.000041333587,0.00004874672,0.00022519751,0.00007938416],"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":[0.004595322,0.00018538635,0.00008666899,0.00003524986,0.000065264976,0.0000115751645,0.000079126316,0.00038172668,0.9695904,0.00005702426,0.000029682227,0.024882572],"study_design_scores_gemma":[0.0011970855,0.002570449,0.66987205,0.00021733358,0.00013369738,0.000049594008,0.00044942021,0.00077825354,0.32280043,0.00017539925,0.0014257242,0.00033056154],"about_ca_topic_score_codex":0.000025564117,"about_ca_topic_score_gemma":0.000002056412,"teacher_disagreement_score":0.6697854,"about_ca_system_score_codex":0.000583364,"about_ca_system_score_gemma":0.00004178583,"threshold_uncertainty_score":0.65715486},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94146097,0.00063732103,0.04138902,0.0000599827,0.00029833108,0.0007484027,0.00003562471,0.00061812444,0.014752213],"genre_scores_gemma":[0.9947446,0.00010066552,0.004886396,0.000084810395,0.00006396748,0.00009585444,0.000008493552,0.00001377255,0.0000014550478],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982019,0.00014387057,0.00040041463,0.000386584,0.0003765893,0.0004906555],"domain_scores_gemma":[0.9994067,0.00008247611,0.000038141097,0.00027521397,0.00006889498,0.0001285635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060733367,0.00024875955,0.00033224092,0.00006031392,0.000036601843,0.000014685378,0.00022932663,0.00010243341,0.00025380173],"category_scores_gemma":[0.000083217004,0.00018552833,0.00012919684,0.0002785143,0.00004579096,0.00013111181,0.000050937826,0.00027420986,0.000043611228],"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":[0.0002979269,0.002184871,0.003152233,0.00015902215,0.00032514826,0.00004057354,0.0010939075,0.0101948995,0.9394881,0.0018131965,0.0012844793,0.03996563],"study_design_scores_gemma":[0.002101661,0.0007116985,0.2624582,0.00020454479,0.00009666202,8.5688e-7,0.000097002674,0.25970128,0.18675964,0.2859177,0.0003043073,0.0016464483],"about_ca_topic_score_codex":0.00008077389,"about_ca_topic_score_gemma":0.000018312401,"teacher_disagreement_score":0.75272846,"about_ca_system_score_codex":0.00013295018,"about_ca_system_score_gemma":0.0000112577345,"threshold_uncertainty_score":0.75656253},"labels":[],"label_agreement":null},{"id":"W1968299098","doi":"10.1088/0967-3334/31/11/001","title":"On the use of peripheral autonomic signals for binary control of body–machine interfaces","year":2010,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","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":"Holland Bloorview Kids Rehabilitation Hospital; University of Toronto","funders":"","keywords":"Speech recognition; Hidden Markov model; Ambient noise level; Computer science; Noise (video); Heart rate; Robustness (evolution); Artificial intelligence; Acoustics; Medicine; Chemistry; Blood pressure","score_opus":0.1570805863078337,"score_gpt":0.29619970439056376,"score_spread":0.13911911808273006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968299098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964256,0.000024094417,0.0017048029,0.00084014714,0.00030334055,0.0005754716,0.000053079904,0.000028641149,0.000044780838],"genre_scores_gemma":[0.9988437,0.0000030119359,0.00019737765,0.00081953965,0.000049391067,0.000058592886,6.4548396e-7,0.000007920885,0.000019807505],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99867153,0.00021664267,0.0003299822,0.0003037498,0.0002757529,0.00020234831],"domain_scores_gemma":[0.9984344,0.0009489862,0.00020349227,0.00027144692,0.00010053161,0.000041122246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043286913,0.00015817845,0.00030116495,0.000027692491,0.0000757445,0.000023729363,0.00042086144,0.00005211943,0.00012699781],"category_scores_gemma":[0.0008897336,0.00008047401,0.0001449585,0.000053437965,0.00024591805,0.0000703207,0.0000664946,0.0001962462,0.000004524781],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034011246,0.00033448654,0.00002675335,0.000014910146,0.00001808233,2.6886912e-7,0.00005302916,0.002469624,0.9926199,0.0026931905,0.0008063996,0.0006232928],"study_design_scores_gemma":[0.00051145774,0.0015853451,0.0021738505,0.00003823153,0.000010930916,7.4805615e-7,0.0000066442044,0.02552716,0.9677243,0.0017515712,0.00056620437,0.00010350448],"about_ca_topic_score_codex":0.000009768576,"about_ca_topic_score_gemma":0.0000019648658,"teacher_disagreement_score":0.024895499,"about_ca_system_score_codex":0.000018663666,"about_ca_system_score_gemma":0.00002054374,"threshold_uncertainty_score":0.32816347},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94873524,0.002685505,0.04495492,0.000079054385,0.00014488475,0.0005938677,0.0000011306944,0.00060272554,0.0022026487],"genre_scores_gemma":[0.9991119,0.00017702368,0.00033180695,0.00011403618,0.00014934466,0.000093501934,0.0000039163874,0.00001579696,0.0000026925366],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9981575,0.000038747832,0.0003777124,0.00034764392,0.00043900977,0.0006393849],"domain_scores_gemma":[0.9994931,0.000043172084,0.00003988591,0.0002138553,0.000071851675,0.00013813621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050133927,0.00023147579,0.00026719525,0.00020567574,0.00004798803,0.000013200578,0.0002192515,0.00014904853,0.000006169203],"category_scores_gemma":[0.00003256203,0.00017780461,0.00015350999,0.0014064275,0.00005233178,0.000067864974,0.000018318367,0.00034723087,0.000025881724],"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":[0.00016323372,0.0005122375,0.020741954,0.000057195266,0.000048619884,0.000019552272,0.000039086375,0.0008138342,0.6425039,0.0020655969,0.0007727149,0.33226207],"study_design_scores_gemma":[0.0012877991,0.000708657,0.8823077,0.000059909984,0.000029179942,0.000014085653,0.000018301094,0.020698957,0.07766703,0.01260177,0.0035918846,0.0010147326],"about_ca_topic_score_codex":0.000015282996,"about_ca_topic_score_gemma":0.000021205144,"teacher_disagreement_score":0.86156577,"about_ca_system_score_codex":0.00017504145,"about_ca_system_score_gemma":0.000008036476,"threshold_uncertainty_score":0.7250662},"labels":[],"label_agreement":null},{"id":"W1969935649","doi":"10.1088/0967-3334/33/3/375","title":"<i>In vivo</i>quantification of bone-fluorine by delayed neutron activation analysis: a pilot study of hand-bone-fluorine levels in a Canadian population","year":2012,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Fluoride Effects and Removal","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Fluorine; In vivo; Population; Neutron activation analysis; Significant difference; Chemistry; Medicine; Dentistry; Radiochemistry; Internal medicine; Environmental health; Biology; Organic chemistry","score_opus":0.06205065202670647,"score_gpt":0.2736434517954396,"score_spread":0.21159279976873313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969935649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988809,0.00008639367,0.0000618936,0.000097336204,0.00007703044,0.00072703755,0.000010683466,0.000007683413,0.000051031504],"genre_scores_gemma":[0.99975747,0.0000066984003,0.000071165334,0.000036188154,0.00003138343,0.00006002453,0.000019177545,0.000008233432,0.000009676164],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977459,0.00028579537,0.000613901,0.00033873468,0.00060644373,0.00040927946],"domain_scores_gemma":[0.99926084,0.000035005763,0.00025399425,0.00026675122,0.000033455235,0.00014997511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013167405,0.00018044312,0.0004539763,0.0001866658,0.000058598944,0.000008168897,0.0001245562,0.000056439985,0.00019100099],"category_scores_gemma":[0.00008756716,0.00013948017,0.00006376372,0.00094017666,0.000055590626,0.00025196854,0.00005050125,0.00012722584,0.0000066330335],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014648544,0.0019672515,0.11660461,0.000013650991,0.00004376172,6.642728e-7,0.00016668225,0.0072526834,0.8732432,0.000020494033,0.000088266956,0.0004522183],"study_design_scores_gemma":[0.00076163124,0.0010059925,0.93236285,0.000019604717,0.000067155626,2.8851906e-7,0.000059106227,0.0011022397,0.06439356,0.000032502627,0.000048867598,0.00014621265],"about_ca_topic_score_codex":0.3198638,"about_ca_topic_score_gemma":0.12257584,"teacher_disagreement_score":0.8157582,"about_ca_system_score_codex":0.00061728334,"about_ca_system_score_gemma":0.000012338599,"threshold_uncertainty_score":0.8934349},"labels":[],"label_agreement":null},{"id":"W1970645693","doi":"10.1088/0967-3334/31/2/001","title":"Pilot study of temporary controllable gastric pseudobezoars for dynamic non-invasive gastric volume reduction","year":2009,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Bariatric Surgery and Outcomes","field":"Medicine","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":"University of Calgary; University of Alberta","funders":"","keywords":"Clearance; Medicine; Discontinuation; Stomach; Reduction (mathematics); Washout; Pylorus; Weight loss; Body weight; Surgery; Gastric bypass; Nuclear medicine; Internal medicine; Urology; Mathematics","score_opus":0.07699217739947409,"score_gpt":0.28595810889177875,"score_spread":0.20896593149230466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970645693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99564743,0.00031736912,0.00056277576,0.00041775318,0.00037987935,0.0024157194,0.000006785139,0.00007458029,0.00017769272],"genre_scores_gemma":[0.99876684,0.00003614269,0.00052838237,0.00016541024,0.00020793085,0.00013785297,0.00001827573,0.000013191358,0.00012599245],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977888,0.00013734055,0.00061708695,0.00046814186,0.0005942765,0.00039434343],"domain_scores_gemma":[0.99865085,0.000108929504,0.00028596865,0.00034928953,0.00044915543,0.00015579372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074617425,0.00026003612,0.0008121149,0.00017167782,0.0001131063,0.0000097580605,0.0001273846,0.00005653195,0.000031434913],"category_scores_gemma":[0.0005244206,0.00018568347,0.0001979431,0.0004911935,0.000042840275,0.00007630463,0.000024148818,0.00018655352,0.000010158554],"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":[0.0067838104,0.013377853,0.024371898,0.00015021052,0.00039308515,0.00001970957,0.000104111874,0.00038026462,0.93923247,0.00002009924,0.0069673597,0.0081991],"study_design_scores_gemma":[0.008723261,0.047223877,0.93920684,0.00010142358,0.00039828644,0.00003645138,0.0004960219,0.00047251,0.0023428905,0.0006796842,0.000038788537,0.00027997085],"about_ca_topic_score_codex":0.00004794208,"about_ca_topic_score_gemma":0.0000031187396,"teacher_disagreement_score":0.9368896,"about_ca_system_score_codex":0.00020366356,"about_ca_system_score_gemma":0.00015897772,"threshold_uncertainty_score":0.75719523},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838297,0.0024120691,0.009219774,0.000088741705,0.0002972175,0.0011075719,0.000046971778,0.0002076983,0.002790287],"genre_scores_gemma":[0.99760574,0.00007039855,0.0017101754,0.000024387427,0.00040992536,0.00013584438,0.0000084363855,0.00001923162,0.00001587377],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99841094,0.00006294305,0.00039053813,0.00033278437,0.00037625307,0.00042656192],"domain_scores_gemma":[0.99930966,0.000084290106,0.00010097761,0.0001215155,0.00033021404,0.00005333396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024653046,0.00026136616,0.00042947457,0.000084514504,0.00006870546,0.000019836136,0.00012813247,0.00016877643,0.000038412203],"category_scores_gemma":[0.000061915634,0.00019338624,0.0003490412,0.00042370916,0.00007023392,0.00004837526,0.00001870105,0.00017310255,0.000012511698],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020662358,0.0005491677,0.0014797464,0.00028645757,0.00017171066,2.9064879e-7,0.000006822923,0.0024629391,0.98140264,0.0030689125,0.0014422805,0.008922403],"study_design_scores_gemma":[0.0012949796,0.0038240796,0.3020382,0.00020124073,0.00026179012,0.0000023132022,0.000008794889,0.010282292,0.65761244,0.020580389,0.003162498,0.0007309996],"about_ca_topic_score_codex":0.00005683515,"about_ca_topic_score_gemma":0.0000038953644,"teacher_disagreement_score":0.32379022,"about_ca_system_score_codex":0.0001374544,"about_ca_system_score_gemma":0.000019146164,"threshold_uncertainty_score":0.7886062},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24397346,0.0064370423,0.723608,0.0012698577,0.00042396964,0.0051414375,0.000019801588,0.008174555,0.010951858],"genre_scores_gemma":[0.98905325,0.000023645838,0.010576907,0.00017629458,0.000052027917,0.0001012953,0.000004589598,0.000010489131,0.0000015303751],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998635,0.0001327448,0.00024926141,0.00023805154,0.00040748192,0.0003374817],"domain_scores_gemma":[0.9994407,0.000040017425,0.000042340263,0.00026795646,0.00011046362,0.000098512086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003597588,0.00021616824,0.00022565864,0.00007197546,0.00009333338,0.000021023847,0.00029607886,0.00009498398,0.000015619811],"category_scores_gemma":[0.000035847548,0.00014887552,0.000104935585,0.00038187832,0.000023968649,0.00004472608,0.0000065615995,0.00023930566,0.00004443659],"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":[0.00008448491,0.00067330885,0.00005178774,0.000107680746,0.000033234614,0.000004099218,0.00002064933,0.08795363,0.8848766,0.00022365639,0.0004029185,0.025567975],"study_design_scores_gemma":[0.001536497,0.0033452727,0.05530607,0.0004250868,0.00005520427,0.0000027919787,0.000021442995,0.8205884,0.11635413,0.0013425649,0.000104886014,0.0009176455],"about_ca_topic_score_codex":0.0000020442726,"about_ca_topic_score_gemma":5.00385e-7,"teacher_disagreement_score":0.76852244,"about_ca_system_score_codex":0.00019855387,"about_ca_system_score_gemma":0.000017306538,"threshold_uncertainty_score":0.60709673},"labels":[],"label_agreement":null},{"id":"W1974455098","doi":"10.1088/0967-3334/30/4/n01","title":"Infrared thermal imaging as a physiological access pathway: a study of the baseline characteristics of facial skin temperatures","year":2009,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Skin temperature; Infrared; Asymptomatic; Medicine; Thermal infrared; Audiology; Biomedical engineering; Surgery; Physics; Optics","score_opus":0.05535913664122284,"score_gpt":0.3060895650372556,"score_spread":0.25073042839603277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974455098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970417,0.00015555254,0.000014216023,0.00035095413,0.00019449575,0.00141556,0.000022699523,0.000061026694,0.00074378663],"genre_scores_gemma":[0.997967,0.000014829111,0.00006699754,0.0014742047,0.0003796467,0.000052943273,0.000016163436,0.000014564504,0.0000136610915],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99646187,0.0005225246,0.00085352163,0.0004558793,0.001313462,0.00039271612],"domain_scores_gemma":[0.9979292,0.000068234214,0.00044956227,0.00070447486,0.00071674265,0.00013176721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008517228,0.00036059815,0.0009603129,0.00010175518,0.00012362287,0.000016043205,0.00058058277,0.00011097444,0.0001860052],"category_scores_gemma":[0.0011049763,0.00018516084,0.00032701428,0.000499776,0.0002930808,0.000072887844,0.00017714196,0.00054474984,0.0000030118076],"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":[0.0013600951,0.004601914,0.011376487,0.000065915,0.00015990197,0.000031751748,0.00074571447,0.000018277738,0.9705511,0.0001015238,0.00031223425,0.010675127],"study_design_scores_gemma":[0.0026839005,0.003391058,0.951271,0.00026419415,0.00015226855,0.000010242094,0.00041585806,0.00006361646,0.04042001,0.0010734496,0.000056829074,0.00019757317],"about_ca_topic_score_codex":0.000021718208,"about_ca_topic_score_gemma":5.397991e-7,"teacher_disagreement_score":0.9398945,"about_ca_system_score_codex":0.000063886015,"about_ca_system_score_gemma":0.00011619628,"threshold_uncertainty_score":0.755064},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04511791,0.032364003,0.0064566187,0.0076498855,0.83406967,0.011202788,0.0012190015,0.0059627495,0.05595736],"genre_scores_gemma":[0.8764531,0.014827077,0.0000982976,0.00046831506,0.10731961,0.0005174442,0.00012400016,0.00010564935,0.00008651095],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9918063,0.00065595476,0.0011202423,0.0016835768,0.0031996965,0.0015341893],"domain_scores_gemma":[0.9962861,0.0010308392,0.00040401678,0.00093856006,0.0008813852,0.00045908583],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0013809556,0.0014203289,0.0016770829,0.0004215904,0.0003453085,0.00029921767,0.0017186278,0.0012002642,0.00011070885],"category_scores_gemma":[0.0007286073,0.0008865664,0.00071557076,0.0010152934,0.0007388145,0.000118554875,0.00020146137,0.0035102095,0.000121047815],"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":[0.0019579118,0.0006757247,0.00004302209,0.00017565745,0.00083538104,0.000020795136,0.000050583676,0.00020310472,0.012679429,0.01776689,0.9394818,0.026109729],"study_design_scores_gemma":[0.017125545,0.01307783,0.008107343,0.002317294,0.00108151,0.000037274847,0.000039111095,0.24042812,0.0070358287,0.064995825,0.6359238,0.009830507],"about_ca_topic_score_codex":0.000041233263,"about_ca_topic_score_gemma":0.00001943037,"teacher_disagreement_score":0.8313352,"about_ca_system_score_codex":0.00040124348,"about_ca_system_score_gemma":0.00018179648,"threshold_uncertainty_score":0.9998547},"labels":[],"label_agreement":null},{"id":"W1976490990","doi":"10.1088/0967-3334/32/2/002","title":"Comparison of different threshold values<i>r</i>for approximate entropy: application to investigate the heart rate variability between heart failure and healthy control groups","year":2010,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":106,"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":"Approximate entropy; Wilcoxon signed-rank test; Supine position; Heart rate variability; Heart rate; Mathematics; Statistics; Cardiology; Medicine; Internal medicine; Blood pressure; Mann–Whitney U test","score_opus":0.06538841168587159,"score_gpt":0.31831603085899474,"score_spread":0.2529276191731231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976490990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9568041,0.000033034477,0.0088611925,0.02963482,0.00011588996,0.004428923,0.000045964658,0.000067381545,0.000008678848],"genre_scores_gemma":[0.99490947,0.0000015984705,0.001617566,0.0024113061,0.00028495266,0.00073483936,0.0000227955,0.000015601427,0.000001886242],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9973467,0.00041412632,0.00077609334,0.00063158403,0.00037802657,0.00045348826],"domain_scores_gemma":[0.9978855,0.0005874092,0.00016508992,0.0006599273,0.000298388,0.0004036887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003531577,0.00028571047,0.0010812538,0.000037645128,0.00022308083,0.00002780042,0.00016261134,0.00016801305,0.00002236183],"category_scores_gemma":[0.00076344813,0.00016660435,0.00018039632,0.000121197976,0.00029745008,0.00004119055,0.00007639502,0.00052272284,0.000007802853],"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":[0.0003095872,0.0005083725,0.055319957,0.0001795999,0.0000711283,3.9553978e-8,0.00010520544,0.000054531563,0.9402977,0.002251977,0.0003853194,0.00051656575],"study_design_scores_gemma":[0.0036405313,0.0020743837,0.903974,0.000062788764,0.0002751312,0.0000019076165,0.0000702584,0.014449377,0.054328676,0.015753048,0.005059784,0.00031012832],"about_ca_topic_score_codex":0.000027343473,"about_ca_topic_score_gemma":0.000012332489,"teacher_disagreement_score":0.88596904,"about_ca_system_score_codex":0.00008257743,"about_ca_system_score_gemma":0.00010810873,"threshold_uncertainty_score":0.6793928},"labels":[],"label_agreement":null},{"id":"W1976999714","doi":"10.1088/0967-3334/31/4/001","title":"Automatic detection of muscle activity from mechanomyogram signals: a comparison of amplitude and wavelet-based methods","year":2010,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Muscle activation and electromyography studies","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":"University of Toronto; Holland Bloorview Kids Rehabilitation Hospital","funders":"","keywords":"Continuous wavelet transform; SIGNAL (programming language); Wavelet; Pattern recognition (psychology); Computer science; Artificial intelligence; Electromyography; Wavelet transform; Speech recognition; Discrete wavelet transform; Neuroscience; Psychology","score_opus":0.07338922230711553,"score_gpt":0.31285136016169085,"score_spread":0.23946213785457532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976999714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9035401,0.00011248315,0.095897615,0.0000144100995,0.00009245108,0.00018244072,0.0000039148986,0.00011414981,0.000042452106],"genre_scores_gemma":[0.98385894,0.000007351707,0.016040782,0.000007814934,0.000020565765,0.00005477074,0.0000014496379,0.000008273276,7.416052e-8],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990647,0.00011710849,0.00025913405,0.00016996425,0.00023391438,0.00015519657],"domain_scores_gemma":[0.9994028,0.00017333552,0.00010548036,0.00016728991,0.00010199473,0.000049068567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035934904,0.00014364114,0.00038879228,0.00006712474,0.000045792327,0.0000070370206,0.000078135134,0.000079947116,0.0000366913],"category_scores_gemma":[0.00012630493,0.00011516676,0.00009012215,0.00017009556,0.00007086936,0.000038485152,0.000020457908,0.00019375478,2.1672267e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000094514035,0.00011689299,0.00006771025,0.000049954986,0.000058423808,2.165981e-8,0.000043897893,0.00005080751,0.6458078,0.000014485029,0.000004484586,0.35377607],"study_design_scores_gemma":[0.00020041179,0.00014775697,0.27983308,0.000017847968,0.000024836176,3.788658e-8,0.000027231174,0.041134827,0.67783886,0.0006518935,0.00003076406,0.000092426635],"about_ca_topic_score_codex":0.00006789173,"about_ca_topic_score_gemma":0.000035682817,"teacher_disagreement_score":0.35368365,"about_ca_system_score_codex":0.000022427806,"about_ca_system_score_gemma":0.0000069508555,"threshold_uncertainty_score":0.4696364},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99879706,0.00028660204,0.00018449411,0.00005662299,0.00006780222,0.00013947069,0.000004226824,0.000089920846,0.00037379083],"genre_scores_gemma":[0.9994014,0.0001632715,0.00029343533,0.00006217885,0.000045639215,0.000024766905,0.0000022291129,0.0000049129335,0.00000219244],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99920136,0.000043483757,0.00012563885,0.00017535013,0.0002670978,0.0001870803],"domain_scores_gemma":[0.99975604,0.000017826376,0.00003712118,0.00008624558,0.00005230785,0.000050442122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013201522,0.00012531229,0.00019291909,0.000053684525,0.0000530013,0.0000031806542,0.000056921494,0.00005160634,0.000018322959],"category_scores_gemma":[0.00002075829,0.00008718009,0.000043470398,0.00017201243,0.00010779553,0.00003473754,0.0000069633898,0.00011194405,0.0000014816667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045469867,0.000106847096,0.0055074617,0.000042857893,0.000031687967,0.0000014196802,0.000011239035,0.0005101311,0.97674096,0.000033695705,0.00008852353,0.016879737],"study_design_scores_gemma":[0.00070383307,0.0021193193,0.15086803,0.0000834587,0.000016871725,0.000008583695,0.00001360727,0.012462024,0.83102924,0.00218843,0.00012528227,0.00038131644],"about_ca_topic_score_codex":0.000015850097,"about_ca_topic_score_gemma":0.0000066499897,"teacher_disagreement_score":0.14571169,"about_ca_system_score_codex":0.000040238207,"about_ca_system_score_gemma":0.00000915349,"threshold_uncertainty_score":0.3555101},"labels":[],"label_agreement":null},{"id":"W1982488733","doi":"10.1088/0967-3334/34/3/291","title":"Repeatability of popliteal blood flow and lower limb vascular conductance at rest and exercise during body tilt using Doppler ultrasound","year":2013,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Cardiovascular and exercise physiology","field":"Medicine","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":"University of Waterloo","funders":"","keywords":"Repeatability; Blood flow; Tilt (camera); Doppler ultrasound; Rest (music); Ultrasound; Lower limb; Biomedical engineering; Medicine; Laser Doppler velocimetry; Popliteal artery; Doppler effect; Anatomy; Cardiology; Surgery; Radiology; Chemistry; Engineering; Physics; Structural engineering","score_opus":0.040711211030320583,"score_gpt":0.24458357501704994,"score_spread":0.20387236398672937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982488733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99562407,0.003262088,0.000012083733,0.000030759446,0.00008698114,0.0008550426,0.000009837067,0.000040970735,0.000078160796],"genre_scores_gemma":[0.9980102,0.0008763282,0.00086306816,0.00004158669,0.00011613788,0.000042592503,0.00001777534,0.000019250927,0.00001304937],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9978704,0.00013588906,0.00041443727,0.0006881498,0.000502326,0.00038880104],"domain_scores_gemma":[0.9986251,0.000045855508,0.00009802132,0.0006668202,0.00032079496,0.00024340853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044027017,0.00028125866,0.0009745981,0.000045158165,0.00014085286,0.000015303096,0.00008023463,0.00014646816,0.00020634897],"category_scores_gemma":[0.00021699384,0.00020367508,0.00029319714,0.00010851618,0.00035864217,0.00009503356,0.00019009101,0.00020491963,0.000012218927],"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":[0.0008282012,0.00039294388,0.0031951505,0.00032145967,0.00026510406,0.000010184912,0.00006900461,0.000041179483,0.9945398,0.00000617971,0.000041557792,0.0002892632],"study_design_scores_gemma":[0.0022825794,0.00049645867,0.91493773,0.00022289614,0.00063035113,0.00016328279,0.00006051823,0.00016036964,0.080257736,0.00046616964,0.00003473103,0.00028717297],"about_ca_topic_score_codex":0.0001791949,"about_ca_topic_score_gemma":0.000003656015,"teacher_disagreement_score":0.914282,"about_ca_system_score_codex":0.000098408,"about_ca_system_score_gemma":0.0000275764,"threshold_uncertainty_score":0.8305629},"labels":[],"label_agreement":null},{"id":"W1984716282","doi":"10.1088/0967-3334/33/6/881","title":"Augmented blood pressure measurement through the noninvasive estimation of physiological arterial pressure variability","year":2012,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Ontario Centres of Excellence","keywords":"Blood pressure; Standard deviation; Outlier; Confidence interval; Pressure measurement; Medicine; Interval (graph theory); Mathematics; Statistics; Cardiology; Internal medicine; Engineering","score_opus":0.09188652606477675,"score_gpt":0.28636827897764433,"score_spread":0.19448175291286757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984716282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97199726,0.003505868,0.008824609,0.005006318,0.0013863553,0.0070335916,0.00011793823,0.00035466682,0.0017733832],"genre_scores_gemma":[0.9976166,0.000021888522,0.00089271367,0.00048013992,0.0006162235,0.00031442547,0.00002137836,0.000016316873,0.000020340243],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99552464,0.0010717878,0.0008580863,0.000587068,0.0012830006,0.0006753978],"domain_scores_gemma":[0.9977411,0.00020095444,0.00031360032,0.000865616,0.0006607991,0.00021793498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034476575,0.0003950334,0.0008844202,0.000024767358,0.00021367682,0.00002118912,0.00026767474,0.00026559317,0.0005938362],"category_scores_gemma":[0.0020707638,0.00021983945,0.00035754585,0.00018630023,0.00035225018,0.00018611438,0.00014993493,0.00045812372,0.000035052242],"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":[0.00053266156,0.0051772436,0.00038046963,0.0004070388,0.0015417914,0.0000014443854,0.0006431425,0.0027156034,0.983863,0.002080073,0.0009190839,0.0017384317],"study_design_scores_gemma":[0.010498427,0.0037588896,0.6828305,0.0006267179,0.00876435,0.000045942037,0.00031720774,0.007567561,0.25093153,0.00818167,0.025326867,0.0011503058],"about_ca_topic_score_codex":0.00005513144,"about_ca_topic_score_gemma":0.0000013095216,"teacher_disagreement_score":0.7329315,"about_ca_system_score_codex":0.0001109205,"about_ca_system_score_gemma":0.00022193958,"threshold_uncertainty_score":0.89647925},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8654525,0.019656565,0.102225855,0.0007853845,0.0009792902,0.0012443954,0.000086223874,0.00072855875,0.0088411765],"genre_scores_gemma":[0.9994792,0.000021545102,0.00026232263,0.000078138495,0.000118628544,0.000029415543,0.0000050097624,0.000004428509,0.0000013445735],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99916756,0.000043223885,0.00013935685,0.00006295947,0.00027398285,0.0003129243],"domain_scores_gemma":[0.999738,0.00004072479,0.000023810486,0.00007810895,0.00006554032,0.00005382344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031806796,0.00007950673,0.000107002175,0.000018589706,0.00010114862,0.0000053560543,0.00009625692,0.00003260996,0.000054873617],"category_scores_gemma":[0.000026192485,0.00004391507,0.00007757059,0.00018255373,0.000048895778,0.000042303305,0.000023887242,0.0001153404,0.000018153434],"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":[0.00006354587,0.0023263085,0.008588409,0.00025476256,0.0005365026,9.60966e-7,0.00051666575,0.10322233,0.75419694,0.037134204,0.035367142,0.0577922],"study_design_scores_gemma":[0.0007899306,0.00018810642,0.9176263,0.00010050352,0.00008136413,0.0000044552426,0.00008072824,0.045829423,0.017790897,0.008188764,0.008823828,0.0004956886],"about_ca_topic_score_codex":0.0000013896113,"about_ca_topic_score_gemma":7.4179275e-7,"teacher_disagreement_score":0.9090379,"about_ca_system_score_codex":0.00003156374,"about_ca_system_score_gemma":0.000005218597,"threshold_uncertainty_score":0.17908047},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977658,0.0011190223,0.00040278293,0.000027846618,0.00004686397,0.0003819637,0.0000050501185,0.00009704071,0.00015364074],"genre_scores_gemma":[0.9989555,0.00006527896,0.0007649141,0.00003779819,0.00008323696,0.00006404027,0.000017349297,0.000011823347,8.1273924e-8],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984253,0.00012102011,0.00029425646,0.0003292724,0.0006011262,0.00022902228],"domain_scores_gemma":[0.99923396,0.000022943554,0.0000510765,0.00034976186,0.00022112136,0.00012116479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082230015,0.00015909159,0.0002347698,0.00003369412,0.000038600152,0.000027170154,0.00021562369,0.00004490606,0.000033275737],"category_scores_gemma":[0.000039905273,0.00009758898,0.00004088526,0.00013693095,0.00013400635,0.00027719795,0.000055048567,0.00014165575,0.00001217676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001716061,0.00021980776,0.002476197,0.000014150241,0.00003103342,4.0619562e-7,0.000014874503,0.00006665167,0.93430084,0.0000043832265,0.00027608388,0.06257842],"study_design_scores_gemma":[0.0012317689,0.00087974465,0.3727828,0.00004972087,0.000087806126,0.00000363584,0.00009550799,0.17903401,0.44469446,0.00076338387,0.000011932477,0.0003652356],"about_ca_topic_score_codex":0.0000099584095,"about_ca_topic_score_gemma":0.0000026998266,"teacher_disagreement_score":0.48960638,"about_ca_system_score_codex":0.00003634691,"about_ca_system_score_gemma":0.000014240549,"threshold_uncertainty_score":0.3979563},"labels":[],"label_agreement":null},{"id":"W1995233792","doi":"10.1088/0967-3334/36/2/259","title":"Intestinal temperature does not reflect rectal temperature during prolonged, intense running with cold fluid ingestion","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Thermoregulation and physiological responses","field":"Medicine","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":"Université de Sherbrooke","funders":"","keywords":"Ingestion; Rectal temperature; Fluid intake; Animal science; Medicine; Pill; Time trial; Chemistry; Internal medicine; Biology; Heart rate; Pharmacology","score_opus":0.09657740438013405,"score_gpt":0.2959639576199264,"score_spread":0.19938655323979232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995233792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99758226,0.00017203006,0.000004821907,0.0009554438,0.00013775885,0.0007110727,0.0000057036805,0.0002964374,0.00013449654],"genre_scores_gemma":[0.99760735,0.000009804783,0.00068041607,0.0008518923,0.00042794354,0.00013079697,0.000028139953,0.000028325529,0.00023532046],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974076,0.00030529752,0.00034888883,0.00062419864,0.000891282,0.0004226974],"domain_scores_gemma":[0.9981333,0.00007239981,0.00013655052,0.00034347855,0.0009093672,0.0004049117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006595627,0.0003821169,0.0005391193,0.00008230751,0.00018779298,0.000052933206,0.00014549405,0.00023833547,0.000059871585],"category_scores_gemma":[0.0014748193,0.00018755233,0.00011856599,0.00031850452,0.00019153264,0.00010001168,0.00008257566,0.00071959366,0.00002816306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.028686631,0.00022577439,0.00083615823,0.00006174192,0.00006713504,0.00007852518,0.00019614314,0.00009979844,0.9690738,0.000080852304,0.0002671472,0.00032631922],"study_design_scores_gemma":[0.0023271332,0.0034574005,0.4270229,0.0006180606,0.00007256753,0.00014638301,0.00020304481,0.000038672897,0.5654368,0.00018563082,0.0001328799,0.00035855302],"about_ca_topic_score_codex":0.000008928354,"about_ca_topic_score_gemma":0.0000060020516,"teacher_disagreement_score":0.42618674,"about_ca_system_score_codex":0.000317602,"about_ca_system_score_gemma":0.00017036003,"threshold_uncertainty_score":0.7648162},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99701524,0.00090676756,0.0014532525,0.00013342852,0.000018621045,0.00013764531,0.0000046706546,0.000063018546,0.00026735934],"genre_scores_gemma":[0.9994124,0.000014793179,0.00045382234,0.000019044073,0.0000645748,0.000014604279,7.0267663e-7,0.000005202861,0.000014822731],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992625,0.00003039173,0.00017066773,0.0001167715,0.00025384652,0.00016581459],"domain_scores_gemma":[0.9997139,0.000059210975,0.000026858725,0.00011722321,0.000034442193,0.00004834571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015198767,0.00009472734,0.00014398909,0.00003810119,0.000048844053,0.000006227685,0.000096019205,0.000058783986,0.000005367912],"category_scores_gemma":[0.000109895285,0.000054932203,0.000079524616,0.00036004465,0.00004726681,0.00003699283,0.00002874994,0.00016451134,0.0000037381908],"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":[0.000025591351,0.00021982702,0.66532105,0.00020177432,0.00015235462,1.993936e-7,0.00010314462,0.1911882,0.11071331,0.0019918478,0.002295006,0.027787713],"study_design_scores_gemma":[0.00012099704,0.000041152747,0.87081844,0.000015343014,0.000023685761,2.864528e-7,0.0000013593653,0.12489658,0.0017916935,0.0021805759,0.00001715616,0.000092740054],"about_ca_topic_score_codex":0.0000018505973,"about_ca_topic_score_gemma":6.123388e-7,"teacher_disagreement_score":0.2054974,"about_ca_system_score_codex":0.000042532476,"about_ca_system_score_gemma":0.000005698874,"threshold_uncertainty_score":0.22400703},"labels":[],"label_agreement":null},{"id":"W1995341854","doi":"10.1088/0967-3334/32/4/002","title":"Mean transit time as an index of cerebral perfusion pressure in experimental systemic hypotension","year":2011,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","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":"Ottawa Hospital; University of Ottawa; Lawson Health Research Institute; Robarts Clinical Trials; Western University","funders":"National Institutes of Health","keywords":"Medicine; Cerebral blood flow; Hemodynamics; Perfusion; Cerebral perfusion pressure; Perfusion scanning; Mean transit time; Cardiology; Blood pressure; Internal medicine; Anesthesia; Mean arterial pressure; Heart rate","score_opus":0.09180469248543045,"score_gpt":0.266984495064082,"score_spread":0.17517980257865157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995341854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972361,0.0009565739,0.000021455295,0.000023582927,0.00006390019,0.00060559745,0.000002123358,0.0000506963,0.0010400168],"genre_scores_gemma":[0.99962485,0.000012472944,0.00013068535,0.000114861956,0.000044825018,0.00003479384,0.000005764095,0.000012633746,0.000019130393],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981517,0.00024761274,0.00038359768,0.00039367046,0.0006039844,0.00021939308],"domain_scores_gemma":[0.99939144,0.000013195658,0.0000921189,0.00028453037,0.00009671865,0.000121996876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041511274,0.00018897325,0.00048150498,0.000056071312,0.00004101878,0.000003635017,0.0001364868,0.00011601556,0.00049125723],"category_scores_gemma":[0.000044136683,0.00012852445,0.00014943717,0.00010444325,0.00009736473,0.00007983597,0.000031056516,0.00017732008,0.000029679028],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012890733,0.0017071082,0.0013516798,0.00013378428,0.000051626193,0.000017187422,0.0016847919,0.000015292164,0.99202645,0.00013922487,0.00003753117,0.0015462514],"study_design_scores_gemma":[0.0028821104,0.0038281714,0.48708513,0.00060901366,0.00011983033,0.0000796186,0.0007246678,0.00055427785,0.5033763,0.00046093023,0.0000272674,0.00025265265],"about_ca_topic_score_codex":0.00007438032,"about_ca_topic_score_gemma":0.0000032300134,"teacher_disagreement_score":0.48865014,"about_ca_system_score_codex":0.000041133597,"about_ca_system_score_gemma":0.000031714175,"threshold_uncertainty_score":0.5378922},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938848,0.0004169941,0.0045177024,0.000044284378,0.00017011735,0.000525752,0.00007199331,0.00014334185,0.00022500163],"genre_scores_gemma":[0.9947125,0.0001014028,0.004869221,0.000009259792,0.000055303804,0.00016173013,0.000075075535,0.000011856459,0.000003652265],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982452,0.00007857688,0.00056366366,0.00027181208,0.0006028837,0.00023787118],"domain_scores_gemma":[0.99918455,0.000044853874,0.00017478173,0.00030907398,0.00019913216,0.0000876248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002569842,0.00020758383,0.00048882,0.00017821026,0.0000384808,0.000016812586,0.00022020147,0.00008901893,0.00022956493],"category_scores_gemma":[0.000036668636,0.00015429033,0.00020219739,0.00082064787,0.00007740533,0.00008036607,0.000028381077,0.0001812017,0.0000051403613],"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":[0.000018760618,0.0001738994,0.003617689,0.000093279494,0.00092340476,7.1765993e-7,0.000107676235,0.00067373924,0.9708067,0.000026208867,0.00020105996,0.023356859],"study_design_scores_gemma":[0.00020428249,0.000094373776,0.6101817,0.000024155901,0.00047447157,7.3387305e-8,0.00001597474,0.061569642,0.3268616,0.00040066353,0.00001979471,0.00015331316],"about_ca_topic_score_codex":0.000092177645,"about_ca_topic_score_gemma":0.000019549881,"teacher_disagreement_score":0.6439451,"about_ca_system_score_codex":0.00008828354,"about_ca_system_score_gemma":0.000015036655,"threshold_uncertainty_score":0.6291777},"labels":[],"label_agreement":null},{"id":"W1996766343","doi":"10.1088/0967-3334/34/10/1329","title":"Improvements in an<i>in vivo</i>neutron activation analysis (NAA) method for the measurement of fluorine in human bone","year":2013,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Detection limit; Neutron activation analysis; Detector; Lithium fluoride; Irradiation; Radiochemistry; Imaging phantom; Electromagnetic shielding; Materials science; Chemistry; Analytical Chemistry (journal); Optics; Physics; Nuclear physics","score_opus":0.07304808787875561,"score_gpt":0.31888590878051365,"score_spread":0.24583782090175804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996766343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99108607,0.000018280323,0.0067207008,0.0003302601,0.000020554318,0.0015979168,0.000013071811,0.000009572324,0.00020357939],"genre_scores_gemma":[0.9975338,0.0000015968315,0.00090177567,0.000056786437,0.00007440751,0.0013987982,0.000017416818,0.0000115357425,0.000003868636],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99830824,0.000108421125,0.0004984994,0.00037385063,0.0004195293,0.00029143912],"domain_scores_gemma":[0.9991213,0.00004869607,0.00019509885,0.00035367947,0.00023480791,0.0000463949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092857075,0.00017544083,0.00038308962,0.00011639205,0.00007125631,0.000024565596,0.00023102025,0.000034794823,0.00013473944],"category_scores_gemma":[0.000008752364,0.00012348725,0.00015819252,0.00055447425,0.000028954031,0.00012199952,0.00005663484,0.00014987444,0.0000023553255],"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":[0.000024744977,0.0011177863,0.0035611829,0.000012325573,0.00009504862,2.2567276e-8,0.00007466252,0.003874267,0.97663075,0.0042474843,0.00005686374,0.010304852],"study_design_scores_gemma":[0.0023953822,0.00038663723,0.661015,0.00006778862,0.0001563401,1.0757187e-8,0.0005705897,0.030666795,0.2685586,0.03551689,0.00026281696,0.00040319614],"about_ca_topic_score_codex":0.0018449462,"about_ca_topic_score_gemma":0.00018691624,"teacher_disagreement_score":0.7080722,"about_ca_system_score_codex":0.00015064229,"about_ca_system_score_gemma":0.000018272262,"threshold_uncertainty_score":0.5035664},"labels":[],"label_agreement":null},{"id":"W1998649608","doi":"10.1088/0967-3334/26/4/013","title":"Characterization of volumetric flow rate waveforms in the normal internal carotid and vertebral arteries","year":2005,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":352,"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":"Canadian Institutes of Health Research","keywords":"Waveform; Supine position; Amplitude; Internal carotid artery; Cardiac cycle; Flow (mathematics); Magnetic resonance imaging; Medicine; Mathematics; Cardiology; Physics; Radiology; Internal medicine; Geometry","score_opus":0.028409124977455298,"score_gpt":0.22975594680441613,"score_spread":0.20134682182696084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998649608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989131,0.000054266868,0.00013949042,0.00028618285,0.000044009914,0.00031483534,0.000006568768,0.000012481355,0.00022904295],"genre_scores_gemma":[0.9992128,0.00006341806,0.00004123351,0.0004566026,0.00014568827,0.000035757443,0.000030834843,0.0000045347947,0.000009130373],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990354,0.000096023716,0.00022641494,0.0001574342,0.00032594643,0.00015877096],"domain_scores_gemma":[0.9996609,0.000010695641,0.000050742598,0.00014483123,0.00007724996,0.000055548055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033881163,0.00010877377,0.00022341571,0.000059967777,0.00003329726,0.000013255392,0.00007325124,0.000031703188,0.00009671485],"category_scores_gemma":[0.000051513463,0.000058833575,0.0000970933,0.00013873888,0.000072640854,0.00009320135,0.0000305536,0.00009819871,0.000008216271],"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":[0.0002986707,0.0010020664,0.14124116,0.00015544044,0.00010401908,0.0000028056027,0.0007744194,0.000030334884,0.8125243,0.00010194698,0.00009497768,0.04366982],"study_design_scores_gemma":[0.00092471985,0.00037102215,0.9821427,0.000053712887,0.000037834685,0.0000133207195,0.000100651945,0.0005944118,0.015494965,0.000021568501,0.0001730694,0.00007204971],"about_ca_topic_score_codex":0.000011478117,"about_ca_topic_score_gemma":0.000011482152,"teacher_disagreement_score":0.8409015,"about_ca_system_score_codex":0.000042007327,"about_ca_system_score_gemma":0.00002005094,"threshold_uncertainty_score":0.23991635},"labels":[],"label_agreement":null},{"id":"W1999742730","doi":"10.1088/0967-3334/35/12/l1","title":"Correlating multidimensional fetal heart rate variability analysis with acid-base balance at birth","year":2014,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Neonatal and fetal brain pathology","field":"Medicine","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":"Ottawa Hospital; University of Ottawa; York University; Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"Centre de recherche du CHU Sainte-Justine","keywords":"Fetus; Medicine; Fetal heart rate; Acid–base homeostasis; Balance (ability); Fetal monitoring; Cardiology; Internal medicine; Obstetrics; Heart rate; Pregnancy; Biology; Physical therapy","score_opus":0.037475330823706764,"score_gpt":0.2514711350254896,"score_spread":0.21399580420178285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999742730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916172,0.00008800663,0.006509536,0.00064069225,0.00008882374,0.00035685333,0.000012331841,0.00010660703,0.00057997514],"genre_scores_gemma":[0.9931014,0.0000026874995,0.0051519363,0.0014429201,0.000104819665,0.000045919027,0.00004916331,0.0000114554105,0.000089682115],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99760205,0.00046494527,0.0003230068,0.00067155296,0.0005542436,0.00038420447],"domain_scores_gemma":[0.9987801,0.00019980609,0.00011465607,0.00041276455,0.00025118093,0.00024154695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014194663,0.00025215733,0.0006702801,0.00005846132,0.0001728283,0.000005648636,0.0000766044,0.000101984486,0.00031907466],"category_scores_gemma":[0.0007356351,0.00014829558,0.0002337372,0.00036516215,0.00022812332,0.000038261882,0.00011401295,0.00027150224,0.0001331864],"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":[0.0012452477,0.00050263206,0.073707074,0.00005950826,0.00032728032,0.000025730313,0.000030296535,0.0007766155,0.9218757,0.0002505221,0.00013994196,0.0010594373],"study_design_scores_gemma":[0.0021181914,0.001401954,0.9577823,0.000049140224,0.00041390557,0.00004985766,0.000013085956,0.015895236,0.020832147,0.00041715134,0.00073458214,0.0002924309],"about_ca_topic_score_codex":0.000013526621,"about_ca_topic_score_gemma":0.000008699202,"teacher_disagreement_score":0.9010436,"about_ca_system_score_codex":0.00015509517,"about_ca_system_score_gemma":0.000036211444,"threshold_uncertainty_score":0.6047318},"labels":[],"label_agreement":null},{"id":"W2000224138","doi":"10.1088/0967-3334/34/10/1363","title":"High speed versus pulsed images for micro-particle image velocimetry: a direct comparison of red blood cells versus fluorescing tracers as tracking particles","year":2013,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University; University of Pittsburgh","keywords":"TRACER; Velocimetry; Particle image velocimetry; Particle tracking velocimetry; Materials science; Particle (ecology); Tracking (education); Optics; Biomedical engineering; Physics; Mechanics; Geology","score_opus":0.07626105935105364,"score_gpt":0.26948762889278915,"score_spread":0.1932265695417355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000224138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967035,0.0009774547,0.0003265339,0.0001731759,0.00046326805,0.0006260047,0.000015255809,0.0005821217,0.00013265508],"genre_scores_gemma":[0.99128956,0.00007452746,0.00847763,0.000009094034,0.000067616376,0.000038948117,0.0000072315092,0.000031318737,0.0000040847412],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981446,0.00006408398,0.0005032524,0.00037137797,0.00033883413,0.00057782594],"domain_scores_gemma":[0.9990425,0.00020509775,0.000115479,0.0003241848,0.00021763233,0.00009511809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003067427,0.0003015705,0.0005602427,0.00005504066,0.000116383766,0.000063425316,0.00027122567,0.00015209863,0.000058192105],"category_scores_gemma":[0.00039061814,0.00024332968,0.00017666549,0.00023274864,0.00019800829,0.00012913223,0.00006581266,0.0001828932,0.00004004293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040081423,0.00023194257,0.00003972682,0.000075352036,0.0001932022,0.0000017996358,0.00006901671,0.00063579995,0.9876039,0.00002013671,0.003786872,0.0069414326],"study_design_scores_gemma":[0.002956297,0.0007242492,0.0020373361,0.00005492321,0.00014510921,4.486973e-7,0.00042521753,0.0031961997,0.9898696,0.00021158018,0.000073570314,0.00030546467],"about_ca_topic_score_codex":0.00008421221,"about_ca_topic_score_gemma":0.0000025810693,"teacher_disagreement_score":0.008151096,"about_ca_system_score_codex":0.0001227133,"about_ca_system_score_gemma":0.00001670298,"threshold_uncertainty_score":0.99226964},"labels":[],"label_agreement":null},{"id":"W2001022540","doi":"10.1088/0967-3334/25/4/013","title":"Physiological assessment of contrast-enhancing frequency shaping and multiband compression in hearing aids","year":2004,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Hearing Loss and Rehabilitation","field":"Neuroscience","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":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Formant; Contrast (vision); Speech recognition; Cochlea; Computer science; Hearing impaired; Compression (physics); Acoustics; Spectral shape analysis; Audiology; Artificial intelligence; Physics; Medicine","score_opus":0.2121633279070358,"score_gpt":0.3551545257203632,"score_spread":0.14299119781332742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001022540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99753696,0.000093537376,0.0016050382,0.000093666175,0.00008552446,0.00039286635,0.000001807459,0.00004118978,0.00014942812],"genre_scores_gemma":[0.9968667,0.000031775693,0.0029218986,0.00009670112,0.00003455718,0.000040052844,7.3816557e-7,0.0000069348735,6.211857e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980082,0.00027214413,0.0004451295,0.00050453976,0.00045722118,0.00031277578],"domain_scores_gemma":[0.99942005,0.00016001586,0.00011088005,0.00015318049,0.00006700107,0.000088864006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006488961,0.00016670644,0.00037333355,0.000062225685,0.00012205207,0.00001985234,0.00012455366,0.00009160825,0.0000135892315],"category_scores_gemma":[0.00074824906,0.000112312526,0.00006411359,0.00016184778,0.00019305434,0.00011337051,0.000099647215,0.00026791074,0.0000019157699],"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":[0.00001790052,0.0003591763,0.0025968305,0.00006838323,0.0000026177772,0.000003716062,0.00013867058,0.0025366007,0.9908901,0.0021774764,4.9959584e-7,0.0012080668],"study_design_scores_gemma":[0.0010400834,0.00062906137,0.8074053,0.00038384358,0.0000037701466,0.000001967118,0.00006607884,0.0008315679,0.18186097,0.0076339454,8.5987944e-7,0.0001425735],"about_ca_topic_score_codex":0.00011044674,"about_ca_topic_score_gemma":0.0000047897847,"teacher_disagreement_score":0.8090291,"about_ca_system_score_codex":0.00017881786,"about_ca_system_score_gemma":0.000044953205,"threshold_uncertainty_score":0.4579972},"labels":[],"label_agreement":null},{"id":"W2004115469","doi":"10.1088/0967-3334/33/10/1585","title":"Velocity measurement accuracy in optical microhemodynamics: experiment and simulation","year":2012,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Blood properties and coagulation","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hematocrit; Particle image velocimetry; Speckle pattern; Biomedical engineering; Flow velocity; Velocimetry; Blood flow; Particle tracking velocimetry; Materials science; Volumetric flow rate; RADIUS; Flow (mathematics); Mechanics; Flow measurement; Optics; Physics; Turbulence; Computer science; Engineering","score_opus":0.1509168498962146,"score_gpt":0.31650652554910563,"score_spread":0.16558967565289104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004115469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955969,0.0019797245,0.00091559725,0.00041584883,0.00009459969,0.0005948892,5.439575e-7,0.0000413001,0.0003606158],"genre_scores_gemma":[0.9983657,0.000039776594,0.0010595957,0.000283148,0.00016452736,0.00006805202,0.0000046042965,0.000010516162,0.000004086403],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983151,0.000083176536,0.00030970297,0.0002563926,0.00067823555,0.00035737915],"domain_scores_gemma":[0.99936926,0.000028242734,0.00005797542,0.00017705439,0.00018904352,0.00017839106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007939386,0.00017185553,0.00028715652,0.00004056034,0.000061619496,0.000014081368,0.000046093126,0.00009698557,0.00004587901],"category_scores_gemma":[0.00028839035,0.000120899516,0.000058205347,0.00008501286,0.000053516855,0.000112358706,0.000065223656,0.00016283001,0.000016447266],"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":[0.0007223599,0.0019753212,0.012031021,0.00012164271,0.00008273181,0.0000024625933,0.0006583098,0.0015197586,0.9295954,0.0004521689,0.000051774405,0.05278702],"study_design_scores_gemma":[0.001754358,0.00043249622,0.95148957,0.00015242447,0.000064441374,0.0000059626273,0.00020851288,0.018416293,0.026524246,0.000282639,0.00042083618,0.00024823146],"about_ca_topic_score_codex":0.000026506928,"about_ca_topic_score_gemma":0.0000029224395,"teacher_disagreement_score":0.93945855,"about_ca_system_score_codex":0.00039618957,"about_ca_system_score_gemma":0.00003255656,"threshold_uncertainty_score":0.49301392},"labels":[],"label_agreement":null},{"id":"W2004995977","doi":"10.1088/0967-3334/33/2/259","title":"Wavelet-based motion artifact removal for functional near-infrared spectroscopy","year":2012,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":614,"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; James S. McDonnell Foundation","keywords":"Artifact (error); Wavelet; Functional near-infrared spectroscopy; Distortion (music); Attenuation; Artificial intelligence; SIGNAL (programming language); Computer science; Sensitivity (control systems); Energy (signal processing); Computer vision; Mean squared error; Pattern recognition (psychology); Mathematics; Physics; Optics; Statistics; Engineering; Electronic engineering; Telecommunications","score_opus":0.12451931821213993,"score_gpt":0.329330899170997,"score_spread":0.20481158095885707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004995977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60507023,0.000466631,0.37840676,0.003519578,0.0006972288,0.002027868,0.000015837883,0.0010523607,0.00874351],"genre_scores_gemma":[0.89802814,0.000004336565,0.10014274,0.00097307615,0.0005307969,0.00015414394,0.00005023536,0.000019244137,0.000097292264],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99825764,0.000057557783,0.00026804965,0.00030988973,0.0005507311,0.00055612787],"domain_scores_gemma":[0.9991213,0.00005018598,0.000066642926,0.00026785827,0.0002400222,0.000253957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006058028,0.00020937946,0.00033582133,0.000039477713,0.00015567725,0.000028530423,0.00006117845,0.00010361041,0.00027966307],"category_scores_gemma":[0.00039033443,0.00014830139,0.000225888,0.0001066675,0.000118244156,0.00008082222,0.000018947736,0.00022185252,0.00007252561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073855027,0.0011096686,0.0010890911,0.00006477804,0.000047839174,0.0000022858574,0.000011125032,0.0000050016974,0.98258793,0.001505596,0.009748277,0.0030898508],"study_design_scores_gemma":[0.002048457,0.0019875104,0.22895443,0.000108605665,0.00017261737,0.000022690103,0.000014755511,0.0054179723,0.7461602,0.0046501746,0.010072136,0.00039045533],"about_ca_topic_score_codex":0.000003570819,"about_ca_topic_score_gemma":1.3249361e-7,"teacher_disagreement_score":0.2929579,"about_ca_system_score_codex":0.0003222495,"about_ca_system_score_gemma":0.00006849519,"threshold_uncertainty_score":0.6047555},"labels":[],"label_agreement":null},{"id":"W2005156531","doi":"10.1088/0967-3334/32/8/007","title":"Design, implementation and testing of an implantable impedance-based feedback-controlled neural gastric stimulator","year":2011,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Gastrointestinal motility and disorders","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Gastroparesis; Biomedical engineering; Stimulation; Stomach; Medicine; Functional electrical stimulation; Telemetry; Internal medicine; Computer science; Gastric emptying","score_opus":0.23562258940634467,"score_gpt":0.3114365167061734,"score_spread":0.07581392729982872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005156531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935353,0.000090486814,0.005143743,0.000022740645,0.00002769136,0.00092590053,0.0000041437656,0.000055841003,0.00019414953],"genre_scores_gemma":[0.9733301,0.0000015119645,0.026442254,0.00012600486,0.000026431775,0.000054525186,0.000009161936,0.00000916224,8.695852e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99848974,0.00017331702,0.00038990495,0.00030114592,0.00034223008,0.00030364783],"domain_scores_gemma":[0.99909157,0.000100970545,0.00016954285,0.00017205124,0.00029040952,0.00017547562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005785774,0.00018144044,0.00046236458,0.00005956466,0.00007329756,0.000007996534,0.00007020642,0.00003883795,0.000070487156],"category_scores_gemma":[0.00030933126,0.00012783389,0.00006940705,0.0001438938,0.000083652056,0.00007768767,0.00002379871,0.00011406668,0.0000024390463],"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":[0.009423185,0.0014331376,0.06221778,0.00019697605,0.00008195499,0.0000087390845,0.00011349815,0.0007774813,0.9027272,0.000029709308,0.000057819892,0.02293256],"study_design_scores_gemma":[0.0145764705,0.0091397315,0.9224516,0.00010220695,0.0002230341,0.000047313995,0.00046508136,0.02204898,0.030114925,0.00065553153,0.0000010015887,0.00017409053],"about_ca_topic_score_codex":0.00015074054,"about_ca_topic_score_gemma":0.000006478744,"teacher_disagreement_score":0.87261224,"about_ca_system_score_codex":0.000046004356,"about_ca_system_score_gemma":0.000080748774,"threshold_uncertainty_score":0.5212915},"labels":[],"label_agreement":null},{"id":"W2006882784","doi":"10.1088/0967-3334/29/7/007","title":"A multichannel portable ECG system with capacitive sensors","year":2008,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"ECG Monitoring and Analysis","field":"Medicine","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":"University of Toronto","funders":"","keywords":"Capacitive sensing; Computer science; Channel (broadcasting); Electronic engineering; Electrical engineering; Biomedical engineering; Electrocardiography; Computer hardware; Artificial intelligence; Engineering; Medicine","score_opus":0.12394985765043995,"score_gpt":0.2523083079587615,"score_spread":0.12835845030832158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006882784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965049,0.00014559327,0.0008548972,0.00011707209,0.00006982262,0.00024339255,0.000003137011,0.00017535729,0.0018858326],"genre_scores_gemma":[0.99799323,0.000020953132,0.0013072691,0.00006260877,0.00025209898,0.000052909993,0.0000057688035,0.000013192917,0.00029195665],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984418,0.000067908186,0.00020436652,0.00034022724,0.00063795917,0.00030771052],"domain_scores_gemma":[0.9991025,0.000019614563,0.00007621022,0.00024153962,0.00037087902,0.00018930956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002062975,0.00018163993,0.0004344306,0.000046906727,0.00017137996,0.0000052202504,0.000055130316,0.000063436826,0.000023291628],"category_scores_gemma":[0.000079089295,0.000104967454,0.00012434328,0.00018206872,0.00010181958,0.000027915703,0.000016447135,0.00017618989,0.000073726624],"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":[0.0025391695,0.004031675,0.095805116,0.0011296452,0.0034671912,0.0032697795,0.0021930474,0.006604623,0.87356347,0.00032190088,0.003636304,0.0034380723],"study_design_scores_gemma":[0.011104777,0.007927791,0.7363093,0.0034234354,0.0018597646,0.0015396937,0.010013547,0.03719479,0.18757017,0.00006784662,0.00097497465,0.0020139378],"about_ca_topic_score_codex":0.00013593816,"about_ca_topic_score_gemma":0.000002344089,"teacher_disagreement_score":0.6859933,"about_ca_system_score_codex":0.00020154013,"about_ca_system_score_gemma":0.000047149613,"threshold_uncertainty_score":0.42804486},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792341,0.009556826,0.0008898106,0.0011386571,0.0008471593,0.0015584701,0.000013956084,0.00065736705,0.0061036414],"genre_scores_gemma":[0.99670583,0.0010267608,0.0008763035,0.00013376979,0.0008189269,0.0002077227,0.000016106904,0.000040978575,0.00017358841],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9964961,0.00016079571,0.0006046051,0.0007495769,0.0009148637,0.0010740736],"domain_scores_gemma":[0.9987341,0.000060886563,0.0001372901,0.00040815806,0.00036856445,0.0002909806],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00058422226,0.0005761788,0.0005786269,0.00013018867,0.00025523858,0.00021769493,0.00041092857,0.0002517924,0.0009953568],"category_scores_gemma":[0.000093510855,0.00041364026,0.0003248124,0.00061169104,0.00013406192,0.00041610523,0.00009776433,0.0006097143,0.0018538665],"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":[0.000029391935,0.0004658943,0.0007916908,0.00055148685,0.00032079,0.00000435894,0.000064663516,0.00078940764,0.9480929,0.00026967467,0.020211557,0.028408216],"study_design_scores_gemma":[0.0024852871,0.002660968,0.5869139,0.0015866975,0.00068047026,0.000020632328,0.00044031176,0.04334876,0.33866462,0.011842838,0.006881328,0.004474188],"about_ca_topic_score_codex":0.00009337652,"about_ca_topic_score_gemma":0.0000039719866,"teacher_disagreement_score":0.6094283,"about_ca_system_score_codex":0.00040606977,"about_ca_system_score_gemma":0.000025860112,"threshold_uncertainty_score":0.99991786},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971193,0.0003755114,0.0016174702,0.00004921689,0.000077964454,0.00039371,0.000009163418,0.00014655889,0.00021108813],"genre_scores_gemma":[0.994572,0.00002158066,0.005210982,0.000043033342,0.0000672463,0.00005646299,0.0000099780345,0.00001485288,0.00000385427],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860615,0.00006173558,0.0002790981,0.00028758656,0.00034259545,0.00042284586],"domain_scores_gemma":[0.9996013,0.000020877322,0.000049613565,0.00010716108,0.00010928724,0.00011175707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018441507,0.00019838093,0.00024852675,0.000085847685,0.000075913355,0.00003493208,0.00009476233,0.000084502906,0.00007930236],"category_scores_gemma":[0.000012819355,0.00014424775,0.000056691115,0.00041270413,0.00005049344,0.0001285616,0.00001890304,0.00023348726,0.000029182336],"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":[0.000068494846,0.0004920762,0.008108285,0.00008824577,0.00009435091,0.0000049871155,0.00009285713,0.14382292,0.81687844,0.000021947753,0.0016259779,0.028701438],"study_design_scores_gemma":[0.0032030703,0.0007909038,0.1370945,0.00073860487,0.00007349415,0.000076564,0.00018478803,0.8327289,0.021975853,0.0014832378,0.00022006223,0.0014299836],"about_ca_topic_score_codex":0.00008506022,"about_ca_topic_score_gemma":0.000017243758,"teacher_disagreement_score":0.79490256,"about_ca_system_score_codex":0.00024766702,"about_ca_system_score_gemma":0.000016053042,"threshold_uncertainty_score":0.58822525},"labels":[],"label_agreement":null},{"id":"W2010157450","doi":"10.1088/0967-3334/34/6/695","title":"A flexible approach for simulating physiological signals","year":2013,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"ECG Monitoring and Analysis","field":"Medicine","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":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Computer science; Waveform; SIGNAL (programming language); Flexibility (engineering); Parametric statistics; Parametric model; Artificial intelligence; Representation (politics); Mean squared error; Generator (circuit theory); Pattern recognition (psychology); Mathematics; Power (physics)","score_opus":0.2576815186284933,"score_gpt":0.3410646168394454,"score_spread":0.08338309821095208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010157450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9381662,0.00045780014,0.05434751,0.0005650127,0.00011916781,0.0021171833,0.0000049135974,0.00047656472,0.003745642],"genre_scores_gemma":[0.9790398,0.000006842491,0.018918987,0.0003941291,0.0006679999,0.00059036195,0.000028134882,0.000016215477,0.0003375608],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810374,0.00008474384,0.00035174287,0.000508561,0.0004876075,0.00046359096],"domain_scores_gemma":[0.9988857,0.00007799488,0.00010015081,0.00028518736,0.0004416044,0.00020935037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042794677,0.0002335626,0.00057126244,0.000046672118,0.00016666685,0.000031536383,0.00012957552,0.00012793991,0.00027988237],"category_scores_gemma":[0.00047758222,0.00014142628,0.0003695454,0.00018337378,0.000070109316,0.000054966877,0.00005592272,0.00019638131,0.00011163389],"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":[0.00008033612,0.00084633724,0.00073573965,0.00012856898,0.00019007626,8.2624723e-7,0.000023779055,0.0035023298,0.9795198,0.00006509032,0.0033519159,0.0115552135],"study_design_scores_gemma":[0.009977453,0.009717262,0.29189414,0.0006611058,0.0013219755,0.000017535041,0.0012192816,0.43642372,0.22357848,0.020414699,0.0023582822,0.0024160685],"about_ca_topic_score_codex":0.000023752218,"about_ca_topic_score_gemma":4.8612794e-8,"teacher_disagreement_score":0.7559413,"about_ca_system_score_codex":0.00009723548,"about_ca_system_score_gemma":0.000026102345,"threshold_uncertainty_score":0.57671964},"labels":[],"label_agreement":null},{"id":"W2010404451","doi":"10.1088/0967-3334/34/9/1163","title":"X-ray fluorescence measurements of arsenic micro-distribution in human nail clippings using synchrotron radiation","year":2013,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Canadian Light Source (Canada); Mount Allison University","funders":"Canadian Institutes of Health Research; Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; Mount Allison University; Canadian Light Source","keywords":"Beamline; Imaging phantom; Materials science; Nail (fastener); Beam (structure); Optics; Clipping (morphology); Calibration; Microbeam; Synchrotron; Synchrotron radiation; Faraday cup; Cross section (physics); Nuclear medicine; Physics; Medicine; Ion beam","score_opus":0.05960075315907998,"score_gpt":0.2946338077616268,"score_spread":0.2350330546025468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010404451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937537,0.00025575864,0.0051392037,0.000057189623,0.00002778561,0.000677308,0.000008574138,0.000016869752,0.000063633655],"genre_scores_gemma":[0.9967316,0.000038609658,0.002726039,0.00007572247,0.000054636726,0.00017551091,0.00018406725,0.000009720812,0.000004125544],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985639,0.00015335639,0.00038317795,0.00040112672,0.00023064097,0.00026778821],"domain_scores_gemma":[0.9992069,0.0000031911782,0.00018253364,0.00031487006,0.00023496812,0.00005752424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040035407,0.00016905434,0.00020348189,0.00003251322,0.00007894829,0.00001000738,0.00021343073,0.00018227601,0.000027204065],"category_scores_gemma":[0.00007937446,0.00014752451,0.00010135205,0.00012407622,0.00011243999,0.0000058551823,0.00008601826,0.00010580028,0.000006029136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013443918,0.00018875353,0.0023812656,0.000014679789,0.000021288077,1.4123363e-7,0.000004639026,0.00010922096,0.99479496,0.00004051462,0.00033688717,0.0020941987],"study_design_scores_gemma":[0.00037435326,0.00027202716,0.09708108,0.000043215383,0.000013494593,0.0000013117842,0.000010344055,0.00017105068,0.90130913,0.00031097667,0.00022956853,0.00018346582],"about_ca_topic_score_codex":0.00013604794,"about_ca_topic_score_gemma":0.0000044023445,"teacher_disagreement_score":0.094699815,"about_ca_system_score_codex":0.00011306958,"about_ca_system_score_gemma":0.00003733777,"threshold_uncertainty_score":0.6015875},"labels":[],"label_agreement":null},{"id":"W2012019096","doi":"10.1088/0967-3334/35/3/429","title":"Removal of artifacts in knee joint vibroarthrographic signals using ensemble empirical mode decomposition and detrended fluctuation analysis","year":2014,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":48,"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":"Program for New Century Excellent Talents in University; Central University Basic Research Fund of China; National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; Health Research Board; Natural Science Foundation of Fujian Province; University of Calgary","keywords":"Hilbert–Huang transform; Detrended fluctuation analysis; Wavelet; Standard deviation; Computer science; Noise (video); Pattern recognition (psychology); Algorithm; Signal processing; Artificial intelligence; SIGNAL (programming language); White noise; Mathematics; Statistics; Scaling; Digital signal processing","score_opus":0.15707990040263514,"score_gpt":0.31833567041722566,"score_spread":0.16125577001459052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012019096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96299714,0.00057268614,0.035755396,0.00006427735,0.000030042236,0.00013553437,0.000007621096,0.000013525345,0.0004238051],"genre_scores_gemma":[0.9977898,0.00002433621,0.0020850196,0.000034873992,0.000032922675,0.000010891551,0.000012655261,0.000006554754,0.0000029256073],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983531,0.00010711155,0.0007909982,0.00041243955,0.000119043,0.0002173068],"domain_scores_gemma":[0.9992204,0.000030947052,0.000370241,0.00022715292,0.000078455516,0.000072839546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008513098,0.00014865257,0.0007425154,0.0004546861,0.00006798041,0.00002832791,0.000064609834,0.0000757578,0.00011910723],"category_scores_gemma":[0.00009670928,0.0001387251,0.0002493569,0.0007911674,0.000050735696,0.000088252935,0.000045566383,0.00007862016,0.000008496019],"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":[0.00033830546,0.0014604767,0.10034084,0.00023713401,0.0026051248,0.000011642501,0.0008953216,0.18869522,0.6439007,0.040138435,0.00004095561,0.021335825],"study_design_scores_gemma":[0.0006360287,0.00030437455,0.4671106,0.000037996808,0.00015381389,0.0000043127543,0.000044534834,0.47943863,0.0017769294,0.050038084,0.00014386573,0.0003108349],"about_ca_topic_score_codex":0.00053102465,"about_ca_topic_score_gemma":0.00022493154,"teacher_disagreement_score":0.64212376,"about_ca_system_score_codex":0.000085922,"about_ca_system_score_gemma":0.0000065773834,"threshold_uncertainty_score":0.5657045},"labels":[],"label_agreement":null},{"id":"W2012312483","doi":"10.1088/0967-3334/23/3/701","title":"Progress in Ambulatory Assessment: Computer Assisted Psychological and Psychophysiological Methods in Monitoring and Field Studies","year":2002,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":111,"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":"Ambulatory; Field (mathematics); Psychology; Applied psychology; Computer science; Medicine; Data science; Engineering; Internal medicine","score_opus":0.21020957520391953,"score_gpt":0.4087887258651874,"score_spread":0.19857915066126786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012312483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883345,0.009553588,0.0008499981,0.00007810431,0.00052452413,0.00034975476,6.480391e-7,0.00016476284,0.00014414394],"genre_scores_gemma":[0.9527595,0.001202966,0.04556367,0.0000432416,0.00023478399,0.00017853887,3.9021091e-7,0.00001613295,7.409066e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99797505,0.00029027823,0.00043584837,0.00056332984,0.000280455,0.0004550492],"domain_scores_gemma":[0.999316,0.0002696324,0.00004578659,0.00019921124,0.000052843534,0.00011657217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058527594,0.00032602428,0.0005572812,0.00009886994,0.0000612041,0.000038178976,0.00014968812,0.00019292912,0.0000126904115],"category_scores_gemma":[0.00006794626,0.0002448691,0.000064385866,0.00026177109,0.00015629851,0.00011306372,0.00014691928,0.0005401829,0.0000028854627],"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":[0.00004837507,0.0006660083,0.16284397,0.00026492123,0.00014469234,0.00006664343,0.0004400826,0.00048203333,0.5562708,0.00007078345,0.00017223763,0.27852944],"study_design_scores_gemma":[0.00095533574,0.00058374694,0.99026424,0.00028849253,0.000010724708,0.0000074658983,0.00013519569,0.002265944,0.0038542966,0.0012162069,0.000021975975,0.00039639504],"about_ca_topic_score_codex":0.0000018918702,"about_ca_topic_score_gemma":9.215855e-7,"teacher_disagreement_score":0.82742023,"about_ca_system_score_codex":0.00018144512,"about_ca_system_score_gemma":0.0000017427261,"threshold_uncertainty_score":0.99854714},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99415946,0.0018964232,0.0018346087,0.00019399027,0.000105223444,0.00078037,0.000017329117,0.00030862,0.0007039463],"genre_scores_gemma":[0.9985369,0.0002987831,0.00038170905,0.00018287599,0.00017341573,0.0003991436,0.0000070814763,0.000010844775,0.000009249848],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99908376,0.000026275024,0.00013788504,0.00022503492,0.00020173633,0.00032531391],"domain_scores_gemma":[0.9996875,0.00002648919,0.000019541809,0.00010616932,0.00006674792,0.00009354715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013185771,0.0001549997,0.00020910118,0.00003829953,0.00014239522,0.0000073652564,0.000063412,0.000056596084,0.000012115057],"category_scores_gemma":[0.000027229353,0.0001139001,0.00008990117,0.0001655706,0.00005356791,0.00006111272,0.000015009215,0.00009208705,0.0000035448527],"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":[0.000035073765,0.00022716008,0.0013590703,0.00006746249,0.00011839813,0.0000018555121,0.00007936179,0.00025516347,0.9859824,0.0006000016,0.0019492052,0.009324838],"study_design_scores_gemma":[0.0016464257,0.0016366702,0.67948574,0.000052820316,0.00009914902,0.000008067605,0.000015325057,0.014060279,0.28696424,0.0059531587,0.008939669,0.0011384498],"about_ca_topic_score_codex":0.000015044938,"about_ca_topic_score_gemma":0.000012413934,"teacher_disagreement_score":0.6990182,"about_ca_system_score_codex":0.00006539128,"about_ca_system_score_gemma":0.000005837288,"threshold_uncertainty_score":0.46447113},"labels":[],"label_agreement":null},{"id":"W2021343623","doi":"10.1088/0967-3334/29/9/003","title":"Arterial flow measurements during reactive hyperemia using NIRS","year":2008,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Peripheral Artery Disease Management","field":"Medicine","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":"Montreal Heart Institute","funders":"","keywords":"Reactive hyperemia; Reproducibility; Forearm; Plethysmograph; Medicine; Perfusion; Oxygenation; Peripheral; Blood flow; Biomedical engineering; Cardiology; Internal medicine; Chemistry; Surgery","score_opus":0.24978544500293537,"score_gpt":0.2964985905049632,"score_spread":0.04671314550202782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021343623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961851,0.00009982995,0.00019025107,0.0001577414,0.00031800166,0.00078101107,0.000005738575,0.00018621383,0.0020760961],"genre_scores_gemma":[0.99702597,0.000017447435,0.0017973484,0.0004260261,0.0005516758,0.00008075116,0.000014588378,0.000029945313,0.00005628057],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9968461,0.00014234004,0.00042039555,0.00063963933,0.0013806011,0.00057093933],"domain_scores_gemma":[0.9987694,0.000007543724,0.00011906516,0.00045934416,0.00030067287,0.00034397363],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026009924,0.00035317198,0.00053325883,0.000077292454,0.0003170398,0.000017240176,0.00015787009,0.000091426016,0.0004104325],"category_scores_gemma":[0.00012977677,0.00027137142,0.0002408043,0.00018225887,0.0001394826,0.00013337996,0.00012735972,0.00021291955,0.00014756665],"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":[0.0010664202,0.0008422259,0.0044631995,0.00007308261,0.0002576694,0.0001356552,0.00012265764,0.0003225315,0.99156743,0.00000389035,0.00054336217,0.0006018793],"study_design_scores_gemma":[0.0053235283,0.00054520287,0.93267614,0.000263863,0.00028689744,0.00016879442,0.000098252895,0.0013036352,0.058039647,0.00015440064,0.00052105135,0.00061857235],"about_ca_topic_score_codex":0.000023384571,"about_ca_topic_score_gemma":0.0000015339727,"teacher_disagreement_score":0.93352777,"about_ca_system_score_codex":0.0010321712,"about_ca_system_score_gemma":0.00011391866,"threshold_uncertainty_score":0.99997383},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18686058,0.00015676959,0.8122729,0.000013777218,0.000035962654,0.00031090452,0.000004829868,0.000120516204,0.00022374537],"genre_scores_gemma":[0.9849606,0.0000115835865,0.014754405,0.000027760409,0.00015508867,0.000038500788,0.000039992923,0.000008810231,0.000003255564],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988642,0.000013435181,0.00023284016,0.0002609703,0.00029224783,0.0003363259],"domain_scores_gemma":[0.99965924,0.000020952226,0.00003392142,0.00011063951,0.00006997162,0.000105257735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040107575,0.00015941997,0.00025790292,0.00010380945,0.000066982706,0.000015847798,0.00008445682,0.00007948353,0.000005911461],"category_scores_gemma":[0.000016704438,0.00011643634,0.0001572755,0.00043365103,0.000040207775,0.000028753868,0.000018369785,0.00010283052,7.1687487e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010818557,0.0003302066,0.0011558952,0.00006432616,0.00046336086,5.169296e-7,0.000026300204,0.008953334,0.97714764,0.00055762666,0.000022877632,0.011169749],"study_design_scores_gemma":[0.00091346895,0.00042504157,0.52376604,0.0000073141136,0.0003840695,0.0000026426171,0.000008771235,0.4247203,0.048048023,0.0011416526,0.00014647702,0.00043622046],"about_ca_topic_score_codex":0.000014682975,"about_ca_topic_score_gemma":0.000013979121,"teacher_disagreement_score":0.9290996,"about_ca_system_score_codex":0.00006985995,"about_ca_system_score_gemma":0.0000033125582,"threshold_uncertainty_score":0.4748136},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99346054,0.0051906374,0.00077083026,0.000031094787,0.000024977662,0.00021251969,7.722388e-7,0.00019674821,0.00011187336],"genre_scores_gemma":[0.99887496,0.0003590188,0.0006143013,0.000029276154,0.000056262896,0.000053675147,6.952711e-7,0.000011094904,6.8844895e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986772,0.000066642446,0.00033664078,0.00023190177,0.0002983056,0.00038930165],"domain_scores_gemma":[0.99966866,0.000042870277,0.00004262862,0.00012143652,0.000048340044,0.00007606065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024915815,0.00018732718,0.00031596923,0.00016518908,0.000030200334,0.000008741195,0.000107138265,0.00009643917,0.000010461022],"category_scores_gemma":[0.00004823361,0.00014317421,0.000096992,0.0006903091,0.000058020945,0.00006351357,0.000014772586,0.00023427978,0.0000035539122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022068669,0.00011728618,0.0007362261,0.000041377127,0.000025728907,8.429729e-7,0.000019963802,0.00038572808,0.8158149,0.00003944829,0.000012826786,0.18278357],"study_design_scores_gemma":[0.00070830446,0.0008667819,0.25754997,0.00005162311,0.000034040357,0.000011660945,0.000007300963,0.12587652,0.61226296,0.0021253012,0.000093326504,0.00041223178],"about_ca_topic_score_codex":0.000008154432,"about_ca_topic_score_gemma":0.00004348495,"teacher_disagreement_score":0.25681373,"about_ca_system_score_codex":0.00009223774,"about_ca_system_score_gemma":0.000007536256,"threshold_uncertainty_score":0.58384746},"labels":[],"label_agreement":null},{"id":"W2023837919","doi":"10.1088/0967-3334/33/2/243","title":"The feasibility of<i>in vivo</i>quantification of bone-fluorine in humans by delayed neutron activation analysis: a pilot study","year":2012,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","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":"Deutsche Forschungsgemeinschaft; University of Cambridge","keywords":"In vivo; Neutron activation analysis; Medicine; Biomedical engineering; Medical physics; Materials science; Pharmacology; Radiochemistry; Chemistry; Biology; Biotechnology","score_opus":0.1300668178637282,"score_gpt":0.3256271518697603,"score_spread":0.19556033400603212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023837919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984462,0.00004689868,0.00059074356,0.00006932801,0.000016432745,0.0006498035,0.000016251372,0.000006116712,0.00015820107],"genre_scores_gemma":[0.99974227,0.0000034432962,0.000022667751,0.0000056077088,0.000038925617,0.00016223264,0.000015889578,0.000005610655,0.000003326627],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99863714,0.00018494415,0.0004768796,0.00021677038,0.00028326773,0.00020101012],"domain_scores_gemma":[0.99916774,0.000057912042,0.00025893864,0.00036787393,0.000111502624,0.000036053425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085872837,0.00011529227,0.0002929998,0.000043628956,0.00006953662,0.000008741221,0.00014473588,0.0000136981835,0.00002584965],"category_scores_gemma":[0.000010575869,0.000079231904,0.00008935102,0.0005289156,0.00004998821,0.000078878846,0.000041041698,0.000113205635,0.0000020154682],"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":[0.00009351931,0.006180534,0.16801773,0.0000053090594,0.00010886274,6.1342162e-9,0.000113062626,0.00035340872,0.81919014,0.005336628,0.00006463409,0.0005361327],"study_design_scores_gemma":[0.00050139864,0.0004313958,0.9695016,0.000009275879,0.000082848754,3.0956162e-9,0.00044373996,0.00018698235,0.026862988,0.0018270405,0.000051011637,0.000101721205],"about_ca_topic_score_codex":0.0004966178,"about_ca_topic_score_gemma":0.000043672782,"teacher_disagreement_score":0.80148387,"about_ca_system_score_codex":0.000056954552,"about_ca_system_score_gemma":0.000010456683,"threshold_uncertainty_score":0.32309833},"labels":[],"label_agreement":null},{"id":"W2025063706","doi":"10.1088/0967-3334/36/5/1025","title":"Evaluation of a portable markerless finger position capture device: accuracy of the Leap Motion controller in healthy adults","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":55,"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":"Heart and Stroke Foundation of Canada","keywords":"Motion capture; Motion (physics); Computer science; Reliability (semiconductor); Computer vision; Artificial intelligence; Position (finance); Controller (irrigation); Root mean square; Simulation; Mathematics; Physics","score_opus":0.15207119213590345,"score_gpt":0.34985847310385154,"score_spread":0.1977872809679481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025063706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960627,0.0009258688,0.000057974998,0.0010587395,0.00017356891,0.0011905986,0.0000041779085,0.000007827467,0.00051854306],"genre_scores_gemma":[0.99953276,0.000014985564,0.0000799113,0.00023739849,0.00004369322,0.00007351642,0.000008142179,0.000004315264,0.0000052617543],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9975583,0.00051879924,0.00040013253,0.00017128652,0.0012270499,0.00012440977],"domain_scores_gemma":[0.9979466,0.00008145869,0.00024839098,0.00016031275,0.0015032666,0.0000599262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024573463,0.000090435504,0.00030030953,0.000050857867,0.00001927942,0.0000022192723,0.000054912998,0.00008691705,0.00004387023],"category_scores_gemma":[0.0024223428,0.0000502054,0.000115132796,0.00017548028,0.000048199418,0.00004719491,0.000016832919,0.00012555286,0.0000027450437],"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":[0.03953647,0.010677507,0.19709915,0.0021798585,0.0005818108,0.0000028537045,0.0047824956,0.01960156,0.5980552,0.0006015339,0.004543648,0.122337915],"study_design_scores_gemma":[0.0064799367,0.00073303556,0.9849185,0.0004617629,0.00011494154,0.000001936847,0.0006397255,0.004183946,0.0016659944,0.00070442,0.000032537537,0.00006329467],"about_ca_topic_score_codex":0.00011805736,"about_ca_topic_score_gemma":0.000028294686,"teacher_disagreement_score":0.7878193,"about_ca_system_score_codex":0.00035048797,"about_ca_system_score_gemma":0.00024585932,"threshold_uncertainty_score":0.28999457},"labels":[],"label_agreement":null},{"id":"W2025596158","doi":"10.1088/0967-3334/36/5/l1","title":"Sampling frequency of fetal heart rate impacts the ability to predict pH and BE at birth: a retrospective multi-cohort study","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal; Ottawa Hospital; York University","funders":"Fonds de Recherche du Québec - Santé; Mitacs; Canadian Institutes of Health Research; Children Neurodevelopmental Disorders Network","keywords":"Fetus; Fetal heart rate; Cohort; Sampling (signal processing); Medicine; Retrospective cohort study; Cohort study; Obstetrics; Heart rate; Internal medicine; Pregnancy; Biology; Computer science; Telecommunications","score_opus":0.15076707881989032,"score_gpt":0.3314190555284645,"score_spread":0.1806519767085742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025596158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963451,0.00029131537,0.00008268682,0.00086365844,0.00011570388,0.0020719403,0.000027612352,0.000045565896,0.0001564143],"genre_scores_gemma":[0.9985974,0.0000062112194,0.0006079711,0.00055489043,0.00008433182,0.00012013799,0.000004646792,0.00000995453,0.000014476836],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979457,0.0003114466,0.00034543322,0.00051746314,0.000577551,0.00030237003],"domain_scores_gemma":[0.99873936,0.000078917015,0.00008631649,0.00039292194,0.00038875913,0.0003137097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020918697,0.00020435658,0.00055511174,0.000032994023,0.000097416734,0.0000067589176,0.00010874495,0.000068229,0.00002676714],"category_scores_gemma":[0.0020115708,0.000107854874,0.000093191215,0.00016589498,0.00023655765,0.000038152182,0.0002280227,0.0002248137,0.000012877742],"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":[0.00049429963,0.00080054003,0.4469071,0.000029183366,0.00007202153,0.000008181646,0.0005794739,0.000007758803,0.550879,0.00001559803,0.000088690715,0.00011817657],"study_design_scores_gemma":[0.0016003241,0.003664805,0.99045366,0.000028444272,0.0000649847,0.000022160752,0.00036455676,0.000027238257,0.0030622077,0.0005718091,0.000027219605,0.00011258695],"about_ca_topic_score_codex":0.00016099741,"about_ca_topic_score_gemma":0.000050432758,"teacher_disagreement_score":0.54781675,"about_ca_system_score_codex":0.00028450563,"about_ca_system_score_gemma":0.000057998255,"threshold_uncertainty_score":0.43981943},"labels":[],"label_agreement":null},{"id":"W2026399009","doi":"10.1088/0967-3334/29/2/001","title":"A viscoelastic model of arterial wall motion in pulsatile flow: implications for Doppler ultrasound clutter assessment","year":2008,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":55,"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":"Canadian Institutes of Health Research","keywords":"Pulsatile flow; Viscoelasticity; Cardiac cycle; Mechanics; Pressure gradient; Doppler effect; Ultrasound; Blood flow; Waveform; Flow (mathematics); Materials science; Biomedical engineering; Physics; Acoustics; Medicine; Cardiology","score_opus":0.13789553277727626,"score_gpt":0.3380550821382745,"score_spread":0.20015954936099825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026399009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9084725,0.00009445817,0.08932986,0.0003806325,0.00008440324,0.0014415231,0.000053844895,0.000023380218,0.000119425116],"genre_scores_gemma":[0.9950418,0.00003910591,0.0037766811,0.00023304061,0.00008721129,0.0006095832,0.00019729855,0.0000088114575,0.000006454758],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998703,0.00008877045,0.00035959616,0.0002678191,0.00035845744,0.0002223507],"domain_scores_gemma":[0.9993618,0.000035921097,0.00007977834,0.000243051,0.0001604132,0.00011900938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037812663,0.0001111223,0.00031545685,0.00005577347,0.0000859871,0.000002840891,0.000051718533,0.000050749357,0.00010778691],"category_scores_gemma":[0.00012710535,0.000089854206,0.00027027764,0.00008592442,0.00003636194,0.000037839207,0.000020843736,0.00009566162,0.0000024122983],"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":[0.0014817783,0.0032077234,0.0060542333,0.0004064243,0.00015722307,0.0000016236087,0.00012420455,0.030913,0.95288676,0.00038432569,0.0020709059,0.002311823],"study_design_scores_gemma":[0.0037702643,0.00027088387,0.9578693,0.000033802717,0.00012360884,0.000015188974,0.000012124865,0.033377267,0.00037239015,0.0039733723,0.000060724353,0.00012107442],"about_ca_topic_score_codex":0.000012970861,"about_ca_topic_score_gemma":0.000003481159,"teacher_disagreement_score":0.95251435,"about_ca_system_score_codex":0.00027763782,"about_ca_system_score_gemma":0.00015637383,"threshold_uncertainty_score":0.36641482},"labels":[],"label_agreement":null},{"id":"W2029178888","doi":"10.1088/0967-3334/21/3/306","title":"The radiographic quantitation of aortic valve calcification: implications for assessing bioprosthetic valve calcification<i>in vitro</i>","year":2000,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; London Health Sciences Centre; Western University","funders":"","keywords":"Calcification; Aortic valve; Imaging phantom; Calcium; Cusp (singularity); Biomedical engineering; Materials science; Heart valve; Agatston score; Nuclear medicine; Chemistry; Medicine; Radiology; Computed tomography; Mathematics; Internal medicine; Coronary artery calcium; Geometry","score_opus":0.09392614651671834,"score_gpt":0.38099851743491087,"score_spread":0.28707237091819254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029178888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922982,0.0031217635,0.00076413446,0.0014217446,0.00007689624,0.0018740286,0.000051440773,0.00004846904,0.0003433614],"genre_scores_gemma":[0.9978614,0.00042573555,0.0004899998,0.00009192129,0.000055167366,0.00090395584,0.00014334857,0.00001526653,0.000013226742],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998416,0.000108069835,0.0004965575,0.0003648625,0.0003359802,0.0002785102],"domain_scores_gemma":[0.9987171,0.00014852424,0.00015575268,0.00048337734,0.0003865546,0.00010867448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043882616,0.0001695141,0.00032291148,0.00006812512,0.00023176368,0.000031215273,0.00011229758,0.00006693034,0.000018414292],"category_scores_gemma":[0.00013930781,0.000110147106,0.0011407157,0.00040574095,0.00014927002,0.000059339884,0.0000094298375,0.00008511177,0.000012996114],"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":[0.0014064215,0.004210101,0.085944146,0.00028672974,0.001631588,5.5667317e-7,0.00022426073,0.00021598957,0.6290849,0.0054156706,0.00040583505,0.27117383],"study_design_scores_gemma":[0.0011090181,0.00017136481,0.9906653,0.000053230644,0.0004921062,0.0000017911057,0.00006879237,0.0002497417,0.0024182522,0.004453593,0.00019995554,0.0001168613],"about_ca_topic_score_codex":0.000026931428,"about_ca_topic_score_gemma":0.0000010021766,"teacher_disagreement_score":0.90472114,"about_ca_system_score_codex":0.00015065819,"about_ca_system_score_gemma":0.00008043647,"threshold_uncertainty_score":0.44916686},"labels":[],"label_agreement":null},{"id":"W2029823090","doi":"10.1088/0967-3334/35/2/217","title":"Real-time gastric motility monitoring using transcutaneous intraluminal impedance measurements (TIIM)","year":2014,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Gastrointestinal motility and disorders","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stomach; Gastric emptying; Motility; Biomedical engineering; SIGNAL (programming language); Transducer; Force transducer; Medicine; Internal medicine; Acoustics; Biology; Computer science; Physics","score_opus":0.14189083681986808,"score_gpt":0.3049065347411357,"score_spread":0.16301569792126763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029823090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946885,0.000080793456,0.0029215538,0.00013612748,0.00015930382,0.0005496597,0.0000027721176,0.00019633374,0.00126492],"genre_scores_gemma":[0.99033886,0.000016393258,0.009218823,0.0000582463,0.0002975148,0.000023989012,0.000005613026,0.000024115405,0.000016448192],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9965309,0.00031496448,0.00053301937,0.0006809815,0.0012229087,0.0007172226],"domain_scores_gemma":[0.99849904,0.000061155224,0.00013775892,0.0004686166,0.00043920547,0.00039420748],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011379435,0.00037600583,0.000623925,0.00007093677,0.0001843614,0.000026386404,0.0002065942,0.00010950066,0.00014238073],"category_scores_gemma":[0.0009125692,0.00030108655,0.00026905056,0.0002487899,0.00017757819,0.00008117071,0.000047292287,0.00035650746,0.00008063214],"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":[0.0005135436,0.0007268072,0.031494528,0.0001414833,0.000062924075,0.000012181224,0.000042639876,0.00045944902,0.95844895,0.000006310387,0.000034228993,0.0080569405],"study_design_scores_gemma":[0.0027318038,0.0032904672,0.95463085,0.000714952,0.00040108274,0.00032168787,0.00013767689,0.008500016,0.027803838,0.0009490653,0.000045552937,0.0004730044],"about_ca_topic_score_codex":0.00014082974,"about_ca_topic_score_gemma":0.0000027598714,"teacher_disagreement_score":0.9306451,"about_ca_system_score_codex":0.0004211349,"about_ca_system_score_gemma":0.00009113143,"threshold_uncertainty_score":0.99994415},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9704727,0.0043154387,0.0070842914,0.000104679675,0.0006865353,0.0009780506,0.000018356757,0.002680178,0.013659768],"genre_scores_gemma":[0.9988516,0.000036816313,0.00030931042,0.00017695349,0.00040631072,0.00018355237,0.000005727041,0.000027622616,0.0000021139156],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99755585,0.00013088525,0.00027033873,0.00031496934,0.00071342266,0.0010145459],"domain_scores_gemma":[0.99922633,0.00008138405,0.00004583225,0.00027193426,0.00009564915,0.000278857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034602536,0.00035213956,0.0003690431,0.00015666825,0.000113645794,0.000020001173,0.00023427718,0.00014329726,0.000025432015],"category_scores_gemma":[0.000044789456,0.0002439616,0.00028653422,0.0009003335,0.00005032576,0.00009648753,0.000014665596,0.0004167363,0.000081818805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043665522,0.0012187571,0.0028730799,0.00021114528,0.00025338205,0.0000055120045,0.0000387787,0.0029088922,0.9314063,0.004824402,0.003968521,0.051854573],"study_design_scores_gemma":[0.0015440922,0.0028406163,0.23987633,0.00022479126,0.00015008064,0.000010957706,0.000035307807,0.05988525,0.6900472,0.00068881933,0.0028686502,0.0018278923],"about_ca_topic_score_codex":0.0000029407968,"about_ca_topic_score_gemma":5.1652364e-7,"teacher_disagreement_score":0.24135908,"about_ca_system_score_codex":0.00032336073,"about_ca_system_score_gemma":0.000014541015,"threshold_uncertainty_score":0.99484646},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99039644,0.003360272,0.004705288,0.000006988442,0.0001567457,0.0003364133,0.000029322571,0.00034962303,0.0006589192],"genre_scores_gemma":[0.9971647,0.00018887786,0.002507123,0.000010763618,0.00006976908,0.000016768005,0.000024370669,0.000016629401,9.989694e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99839574,0.000069728485,0.00039564748,0.0003517643,0.0004185567,0.00036853921],"domain_scores_gemma":[0.9991912,0.00001796382,0.000091879985,0.00045833283,0.00014449055,0.000096080905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024206802,0.00020453002,0.00031709223,0.000116341056,0.000051751995,0.00000885362,0.00047646707,0.00011178582,0.00005165645],"category_scores_gemma":[0.000035157536,0.00015683747,0.00012076788,0.00078390207,0.00008411232,0.00012571223,0.00006190877,0.00020228504,0.0000073182773],"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":[0.000057634792,0.00030350298,0.0030880386,0.0000780289,0.00016790036,0.0000025649858,0.000044203378,0.0002503243,0.9845643,0.0003087304,0.0005911018,0.010543643],"study_design_scores_gemma":[0.00048077755,0.00055543287,0.36110464,0.00013704918,0.00022024068,0.000005465471,0.000018804929,0.46200985,0.17245416,0.001930354,0.00036384424,0.0007193642],"about_ca_topic_score_codex":0.000014536697,"about_ca_topic_score_gemma":0.0000029154053,"teacher_disagreement_score":0.8121102,"about_ca_system_score_codex":0.00005964948,"about_ca_system_score_gemma":0.000014798311,"threshold_uncertainty_score":0.63956463},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914,0.0011148251,0.0039748494,0.00003553245,0.00023640822,0.00026579507,0.0000016765634,0.00041447172,0.0025564397],"genre_scores_gemma":[0.997308,0.000120660756,0.0023085373,0.000055567678,0.00016037594,0.000028198272,0.0000026842774,0.000013774922,0.00000217956],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998238,0.000045013163,0.00039603197,0.00030158728,0.0003904144,0.0006289332],"domain_scores_gemma":[0.99956226,0.000036813595,0.000036713962,0.00015410407,0.00007758093,0.00013253967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066021783,0.00021880998,0.00027025508,0.00021986869,0.000045715788,0.000017368793,0.00016001001,0.00012720164,0.000032227956],"category_scores_gemma":[0.00004699617,0.00016860859,0.00015840118,0.0011822882,0.000076639946,0.00010513262,0.000016270067,0.00038453093,0.000025575933],"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":[0.00008976309,0.0001919019,0.01320157,0.000031006264,0.00003249937,0.000018456265,0.000017365524,0.00008036867,0.83140963,0.00023133577,0.00050163304,0.15419449],"study_design_scores_gemma":[0.0012952639,0.0007704088,0.81961864,0.00009774762,0.000022864098,0.000035816847,0.000033563447,0.0066674445,0.15833496,0.011284396,0.00083308225,0.0010058071],"about_ca_topic_score_codex":0.000014248038,"about_ca_topic_score_gemma":0.00003329139,"teacher_disagreement_score":0.8064171,"about_ca_system_score_codex":0.00015891207,"about_ca_system_score_gemma":0.000009972541,"threshold_uncertainty_score":0.68756586},"labels":[],"label_agreement":null},{"id":"W2034814547","doi":"10.1088/0967-3334/35/9/1737","title":"Non-invasive whole-body plethysmograph for assessment and prediction of radiation-induced lung injury using simultaneously acquired nitric oxide and lung volume measurements","year":2014,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Effects of Radiation Exposure","field":"Medicine","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":"McGill University","funders":"Canadian Institutes of Health Research; Nanjing University of Science and Technology","keywords":"Lung; Plethysmograph; Medicine; Lung volumes; Biomedical engineering; Kurtosis; Nuclear medicine; Radiology; Internal medicine; Mathematics","score_opus":0.05760167762490805,"score_gpt":0.3170521886549165,"score_spread":0.2594505110300085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034814547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878941,0.00038552764,0.008912993,0.0001635247,0.00013842384,0.0023664858,0.000038834933,0.00006949127,0.000030609597],"genre_scores_gemma":[0.9968996,0.000041940646,0.0023585095,0.00020734877,0.00021626227,0.00017616857,0.00006250846,0.000032735596,0.0000049308796],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9972406,0.00023826522,0.0006106111,0.0005957464,0.000935086,0.00037968368],"domain_scores_gemma":[0.99804574,0.00026884343,0.00040614587,0.00032169223,0.00070456223,0.0002530215],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013568485,0.00033424635,0.0006765193,0.00021914662,0.00020894605,0.00003126743,0.00010173803,0.00020785889,0.00000778999],"category_scores_gemma":[0.0011118392,0.00027947867,0.00014508421,0.00026365984,0.00013024556,0.0001556128,0.000056592366,0.0001614717,8.6117177e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030339806,0.00027409111,0.0928699,0.00046530215,0.00030540855,0.0000010272511,0.00005331157,0.00035453474,0.90224534,0.000020741918,0.0003432702,0.0027636765],"study_design_scores_gemma":[0.0043646935,0.0020227071,0.8421449,0.00033008703,0.0006527199,0.000008315684,0.000051126168,0.09852798,0.051393576,0.00017956397,0.000038137947,0.0002862143],"about_ca_topic_score_codex":0.000031083193,"about_ca_topic_score_gemma":0.0000012464487,"teacher_disagreement_score":0.8508518,"about_ca_system_score_codex":0.00037494654,"about_ca_system_score_gemma":0.00014511246,"threshold_uncertainty_score":0.9999657},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899005,0.0022397623,0.004989665,0.000057638288,0.00023496401,0.0005068649,0.0000068261975,0.0005054702,0.0015582879],"genre_scores_gemma":[0.9991994,0.00019442629,0.00038916772,0.00008993055,0.00006052895,0.00005010971,0.0000023172513,0.000012806189,0.0000013402799],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99859124,0.00005446572,0.00024101534,0.00025706404,0.00053097575,0.00032524535],"domain_scores_gemma":[0.9994983,0.000010675196,0.000031978543,0.00015013634,0.000167596,0.00014130452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029957705,0.00020598131,0.0002170761,0.000047834288,0.000060214952,0.000014817504,0.000089877656,0.00007118033,0.00013711418],"category_scores_gemma":[0.000039611346,0.00014809621,0.000073357034,0.00011975941,0.00004173423,0.000057525616,0.000029654675,0.00014714675,0.00002254954],"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":[0.00018732755,0.0008318606,0.0257474,0.0003241807,0.0004359027,0.000018454095,0.00045868117,0.00065161474,0.86541677,0.00084226136,0.0025744915,0.10251107],"study_design_scores_gemma":[0.0008943472,0.00053564593,0.91582024,0.000096676515,0.00006507864,0.00000411779,0.000035873836,0.0039362623,0.072872534,0.0048103933,0.0003889482,0.00053989905],"about_ca_topic_score_codex":0.000017652104,"about_ca_topic_score_gemma":0.000010972119,"teacher_disagreement_score":0.8900728,"about_ca_system_score_codex":0.00009691842,"about_ca_system_score_gemma":0.000008155792,"threshold_uncertainty_score":0.60391885},"labels":[],"label_agreement":null},{"id":"W2036123359","doi":"10.1088/0967-3334/34/8/n63","title":"Concurrent validation of Xsens MVN measurement of lower limb joint angular kinematics","year":2013,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":320,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kingston General Hospital; Toronto Rehabilitation Institute; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinematics; Motion capture; Joint (building); Range of motion; Computer science; Motion analysis; Angular velocity; Correlation coefficient; Knee Joint; Simulation; Motion (physics); Artificial intelligence; Physics; Medicine; Engineering; Structural engineering; Surgery","score_opus":0.1764246707741733,"score_gpt":0.35669519163974656,"score_spread":0.18027052086557327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036123359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99170333,0.00045536927,0.0023487369,0.0003041116,0.0010675377,0.0022068792,0.00001642249,0.00006912577,0.0018284766],"genre_scores_gemma":[0.9987652,0.00009402584,0.00049389934,0.00011485915,0.00018278009,0.00027569017,0.000023252727,0.00001589649,0.000034440778],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9958303,0.0007877116,0.0012657418,0.00032573633,0.0013521279,0.00043841457],"domain_scores_gemma":[0.99661297,0.00006803331,0.0008379261,0.0004305596,0.00191324,0.00013726969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019322434,0.00023894139,0.0006511107,0.00006824812,0.00014770626,0.0000050939993,0.00019712053,0.00019170989,0.00034242845],"category_scores_gemma":[0.0005749697,0.00016950442,0.00024067673,0.00016096857,0.00010755267,0.00008900005,0.00011824638,0.00033015682,0.00020417107],"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":[0.000034083965,0.0016699397,0.00046827557,0.00076831377,0.00009336862,3.4508585e-7,0.00017925506,0.000015142647,0.99019843,0.0007085948,0.00424379,0.0016204312],"study_design_scores_gemma":[0.00340914,0.0027329791,0.9407258,0.0025977232,0.00024090798,8.2337095e-7,0.000964003,0.00081369205,0.037229892,0.009656428,0.001002368,0.0006262583],"about_ca_topic_score_codex":0.000088527355,"about_ca_topic_score_gemma":0.000007051542,"teacher_disagreement_score":0.95296854,"about_ca_system_score_codex":0.00025606307,"about_ca_system_score_gemma":0.000113879665,"threshold_uncertainty_score":0.691219},"labels":[],"label_agreement":null},{"id":"W2036929788","doi":"10.1088/0967-3334/35/9/1861","title":"Gadolinium detection via<i>in vivo</i>prompt gamma neutron activation analysis following gadolinium-based contrast agent injection: a pilot study in 10 human participants","year":2014,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Lanthanide and Transition Metal Complexes","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Gadolinium; In vivo; Contrast (vision); Imaging phantom; Nuclear medicine; Magnetic resonance imaging; Medicine; Biomedical engineering; Radiology; Chemistry; Computer science; Artificial intelligence","score_opus":0.15566558893830965,"score_gpt":0.31490168038461597,"score_spread":0.15923609144630632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036929788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914771,0.000010652615,0.0073116324,0.000053026823,0.00021630785,0.0007674975,0.000003113312,0.00010160647,0.000059092963],"genre_scores_gemma":[0.9992937,6.156204e-7,0.00006395098,0.00017764755,0.00012801333,0.0003108832,0.000008551013,0.0000133155845,0.0000033401561],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99605954,0.0011962691,0.0007392562,0.00070704834,0.00076024496,0.0005376724],"domain_scores_gemma":[0.9991266,0.000096752585,0.00020474606,0.0003269366,0.00012670581,0.00011827355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024291228,0.00028305655,0.0006495252,0.00027832232,0.00021481163,0.0000726728,0.00019512269,0.00006229512,0.0003304206],"category_scores_gemma":[0.000113772025,0.00022563635,0.00018371208,0.0007434848,0.00004908521,0.00018520418,0.000035640533,0.00019399395,0.000039966304],"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":[0.00055447564,0.0022864798,0.0050373883,0.00002115466,0.000063433436,0.000004255833,0.00010223048,0.010414152,0.98139286,0.000007643619,0.0000032321796,0.0001127202],"study_design_scores_gemma":[0.0023112255,0.004086824,0.5827502,0.0000506644,0.0002074775,3.0330403e-7,0.00009656048,0.0035041606,0.4064251,0.00027070686,0.000007913928,0.0002888322],"about_ca_topic_score_codex":0.0008155347,"about_ca_topic_score_gemma":0.003665754,"teacher_disagreement_score":0.57771283,"about_ca_system_score_codex":0.0002469941,"about_ca_system_score_gemma":0.00002045728,"threshold_uncertainty_score":0.92011833},"labels":[],"label_agreement":null},{"id":"W2038151346","doi":"10.1088/0967-3334/28/12/008","title":"The vulvalgesiometer as a device to measure genital pressure-pain threshold","year":2007,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Sexual function and dysfunction studies","field":"Medicine","cited_by":62,"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":"Canadian Institutes of Health Research; Health Research Board","keywords":"Palpation; Audiology; Medicine; Threshold of pain; Vulvodynia; Physical therapy; Reliability (semiconductor); Sensation; Sex organ; Psychology; Pelvic pain; Anesthesia; Surgery","score_opus":0.15009008584224706,"score_gpt":0.33301224480033864,"score_spread":0.18292215895809158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038151346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8629826,0.012270665,0.020273909,0.013969132,0.003662362,0.0050021536,0.000007891395,0.0010874108,0.08074393],"genre_scores_gemma":[0.9887448,0.000022770346,0.00021712609,0.009004789,0.00054354325,0.00010771391,0.0000026282944,0.000017376695,0.0013392447],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971831,0.0001401753,0.00038221973,0.0004432545,0.0013305784,0.00052068726],"domain_scores_gemma":[0.9982302,0.0002449952,0.00006659956,0.00040116668,0.0007101807,0.00034684676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037252111,0.00024902905,0.000328757,0.000077843004,0.00043930768,0.000037679067,0.00014510454,0.000100661804,0.00022276069],"category_scores_gemma":[0.0020237784,0.0001303609,0.00015920216,0.00042187242,0.00009292235,0.00003642786,0.00010117999,0.00027448378,0.00065459416],"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":[0.0075253327,0.0013723114,0.0056497674,0.000114768045,0.0015096529,0.00006243905,0.0005395008,0.000061297374,0.7536483,0.0025058629,0.12335072,0.10366005],"study_design_scores_gemma":[0.002027672,0.0045259385,0.40091038,0.0001038075,0.00032010677,0.000044356337,0.0012760673,0.00005121006,0.011020911,0.0008878383,0.57832164,0.0005100882],"about_ca_topic_score_codex":0.000019342247,"about_ca_topic_score_gemma":0.00001836632,"teacher_disagreement_score":0.7426274,"about_ca_system_score_codex":0.00011665113,"about_ca_system_score_gemma":0.00004801987,"threshold_uncertainty_score":0.84137017},"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":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015466283,0.99553424,0.00010971346,0.0013590526,0.00051579956,0.001748832,0.00003454311,0.00032663165,0.00021649804],"genre_scores_gemma":[0.004511683,0.9936269,0.0002568964,0.000068337315,0.0007244087,0.00060807227,0.0000047565277,0.00011485008,0.00008408145],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99615854,0.00025987977,0.0007280394,0.0008869331,0.0008310129,0.0011355939],"domain_scores_gemma":[0.9982838,0.00008061161,0.00016399378,0.0006425873,0.00014614672,0.0006828333],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043305857,0.0010911726,0.002111209,0.00019814416,0.000117410826,0.00028740964,0.00062186696,0.0005392389,0.0003593277],"category_scores_gemma":[0.000018323439,0.00065006764,0.00060731603,0.0008813714,0.000051263745,0.00021398456,0.00023284115,0.000808848,0.00041704447],"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":[0.000020475594,0.00014073477,0.000018434517,0.008931476,0.00035624244,0.0000071591103,0.00010065313,0.000039780094,0.0005158984,0.000044110584,0.013068819,0.9767562],"study_design_scores_gemma":[0.00016869613,0.00026320014,0.00010497976,0.025209028,0.00039271786,0.000008155305,0.000090903355,0.000012061058,0.000024641611,0.00034345558,0.9723239,0.001058269],"about_ca_topic_score_codex":0.0000060816137,"about_ca_topic_score_gemma":0.00003175335,"teacher_disagreement_score":0.97569793,"about_ca_system_score_codex":0.0003026692,"about_ca_system_score_gemma":0.000028940869,"threshold_uncertainty_score":0.99959505},"labels":[],"label_agreement":null},{"id":"W2040464381","doi":"10.1088/0967-3334/27/7/002","title":"Centre-specific multichannel electrogastrographic testing utilizing wavelet-based decomposition","year":2006,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Gastrointestinal motility and disorders","field":"Medicine","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 Alberta; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Postprandial; Medicine; Wavelet; Sensitivity (control systems); Audiology; Mathematics; Internal medicine; Artificial intelligence; Computer science","score_opus":0.0975701635852933,"score_gpt":0.271151732851801,"score_spread":0.1735815692665077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040464381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99260753,0.00031228768,0.0046661524,0.0006458509,0.00006257222,0.0005334559,0.0000024544395,0.0002765346,0.0008931381],"genre_scores_gemma":[0.97941285,0.0000025438403,0.020090753,0.00023964672,0.00015974464,0.000027792115,0.000046814093,0.000016266062,0.0000035677956],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979,0.00011077232,0.00036154437,0.00047457157,0.00057370315,0.0005793982],"domain_scores_gemma":[0.9990332,0.00008118269,0.00010208756,0.00023222968,0.00039534146,0.00015597384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033393677,0.00025489336,0.00032086438,0.00009013599,0.00017246981,0.000025388139,0.00008965463,0.000067231245,0.000057182],"category_scores_gemma":[0.0002265356,0.00020510172,0.00019366131,0.00033186076,0.00011116904,0.00004090498,0.000023256871,0.00027552704,0.000038193582],"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":[0.0005375332,0.0023073787,0.02269661,0.00010218829,0.00002637476,0.00003142882,0.000009357137,0.00047690075,0.9657576,0.0004328698,0.00041298408,0.007208749],"study_design_scores_gemma":[0.0032605636,0.001757524,0.9620283,0.00044188762,0.0000898906,0.00003773927,0.00010713295,0.007939898,0.021568632,0.002277386,0.00018134435,0.00030967104],"about_ca_topic_score_codex":0.00005869994,"about_ca_topic_score_gemma":0.000012506014,"teacher_disagreement_score":0.944189,"about_ca_system_score_codex":0.00016603836,"about_ca_system_score_gemma":0.000042695505,"threshold_uncertainty_score":0.8363806},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963696,0.0025494075,0.00017399984,0.000113559676,0.000027870523,0.00012999841,0.0000018322205,0.00006285268,0.00057088555],"genre_scores_gemma":[0.999651,0.00011435958,0.00011229402,0.000044008673,0.000043938173,0.000026300851,0.0000013541104,0.000005063597,0.0000016794212],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992763,0.000026070824,0.0001362705,0.00014718447,0.00018321729,0.00023100224],"domain_scores_gemma":[0.9998401,0.000012272741,0.000021208367,0.00007037967,0.000030344114,0.0000257437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016977229,0.000107451844,0.00017949642,0.00005481922,0.000014790641,0.0000048584593,0.00005295121,0.000026129817,0.000008282205],"category_scores_gemma":[0.00000857744,0.00007921842,0.000029926896,0.00018419202,0.00004075602,0.000027904738,0.00001619811,0.00009550402,7.868761e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008504486,0.00009245883,0.006219771,0.000035646677,0.000008063654,9.723828e-7,0.0000059504937,0.00027215213,0.98425907,0.00038635585,0.00013324773,0.008577822],"study_design_scores_gemma":[0.00042405454,0.00017588628,0.48836303,0.00003696639,0.000009770814,7.4606345e-7,0.000009332068,0.0033311718,0.49284378,0.014457731,0.00012302688,0.00022451006],"about_ca_topic_score_codex":0.00007383136,"about_ca_topic_score_gemma":0.00006974856,"teacher_disagreement_score":0.49141526,"about_ca_system_score_codex":0.000045795012,"about_ca_system_score_gemma":0.0000030223273,"threshold_uncertainty_score":0.32304338},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98523563,0.010357468,0.0031025524,0.00008204744,0.00015486598,0.000665678,0.0000874662,0.00022412973,0.00009013846],"genre_scores_gemma":[0.99323523,0.0002741272,0.0059464592,0.000065253895,0.0003421691,0.0000767469,0.000019844143,0.00002834529,0.000011815898],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980147,0.000085459265,0.00046621976,0.0004902608,0.00040861586,0.000534759],"domain_scores_gemma":[0.99902046,0.00012842745,0.00010460997,0.0002734875,0.00032446766,0.00014855074],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035515573,0.00034601774,0.0005470233,0.00008731837,0.00014230634,0.000042954358,0.00017608322,0.00016495303,0.000039116396],"category_scores_gemma":[0.00015235493,0.0002539908,0.00021096121,0.00029104057,0.00018996993,0.000115571595,0.000040100647,0.00016049872,0.0000074900227],"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":[0.00032432622,0.0016295571,0.0059502977,0.001156316,0.00019605462,0.000005404548,0.00006494534,0.0036413176,0.96123165,0.0011757179,0.0030980187,0.021526411],"study_design_scores_gemma":[0.0040276432,0.0089885825,0.51145244,0.000961494,0.00065298646,0.00000990864,0.00012249628,0.0101637775,0.4050584,0.0524931,0.003814129,0.002255035],"about_ca_topic_score_codex":0.0001431733,"about_ca_topic_score_gemma":0.000039776536,"teacher_disagreement_score":0.5561732,"about_ca_system_score_codex":0.000048736438,"about_ca_system_score_gemma":0.000027087324,"threshold_uncertainty_score":0.99999124},"labels":[],"label_agreement":null},{"id":"W2045352484","doi":"10.1088/0967-3334/32/6/001","title":"Evaluation of a subject-specific transfer-function-based nonlinear QT interval rate-correction method","year":2011,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","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":"Université de Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"","keywords":"Mathematics; QT interval; Repolarization; Statistics; Algorithm; Cardiology; Internal medicine; Medicine","score_opus":0.168557700020952,"score_gpt":0.31915961090943845,"score_spread":0.15060191088848646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045352484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94329417,0.00045837025,0.052202582,0.00007029189,0.0009629713,0.00095408765,0.000004850434,0.00010480408,0.0019478489],"genre_scores_gemma":[0.99803066,0.000024021869,0.0012807848,0.00019163932,0.00028250294,0.00013911935,0.000026108013,0.000015081518,0.000010077561],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99708724,0.0010504731,0.00039485228,0.00042099488,0.0007901373,0.00025632052],"domain_scores_gemma":[0.9983101,0.0000789496,0.00007935424,0.0002981214,0.0011425175,0.000090990216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029895331,0.0002090243,0.0004999673,0.00009277154,0.00007435823,0.0000033348915,0.00006583395,0.00015205107,0.0007623122],"category_scores_gemma":[0.00028456424,0.00015194278,0.00037226497,0.00024219429,0.00009617115,0.000042825624,0.00001218654,0.00029694175,0.000045401644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004314046,0.0010194455,0.0001186625,0.000041548436,0.00031396555,0.000007814707,0.00013964417,0.0007000715,0.9425173,0.00015164088,0.00038058977,0.050295275],"study_design_scores_gemma":[0.0052792835,0.007433987,0.31690186,0.00020734113,0.0015481942,0.000034959077,0.0001237121,0.020414257,0.64438355,0.0029290828,0.00033390336,0.0004098383],"about_ca_topic_score_codex":0.000028023424,"about_ca_topic_score_gemma":0.000005387778,"teacher_disagreement_score":0.3167832,"about_ca_system_score_codex":0.00021520571,"about_ca_system_score_gemma":0.00019499689,"threshold_uncertainty_score":0.8346784},"labels":[],"label_agreement":null},{"id":"W2047697387","doi":"10.1088/0967-3334/29/7/006","title":"Improvement of ballistocardiogram processing by inclusion of respiration information","year":2008,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"SIGNAL (programming language); Respiration; Signal processing; Ballistocardiography; Expiration; Computer science; Novelty; Signal averaging; Expiration date; Digital signal processing; Artificial intelligence; Pattern recognition (psychology); Medicine; Analog signal; Psychology; Chemistry; Respiratory system; Cardiology; Internal medicine; Computer hardware","score_opus":0.03872851186179437,"score_gpt":0.2206695551155548,"score_spread":0.18194104325376043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047697387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.969984,0.00052493776,0.028067483,0.0000074969885,0.0001255565,0.0003663264,0.000007314881,0.0001008824,0.000815988],"genre_scores_gemma":[0.99922025,0.00005343525,0.00061362394,0.000012007302,0.0000426414,0.000040007508,0.000010692082,0.0000068217337,4.9968907e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99874467,0.000020216716,0.00040993933,0.0000906328,0.0005912111,0.00014331906],"domain_scores_gemma":[0.9994661,0.000009681343,0.00011713138,0.00012340849,0.0002430674,0.000040593688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002573687,0.00011858888,0.00020868002,0.00005351841,0.00009018625,0.000004322577,0.00011579098,0.000058617563,0.000005571862],"category_scores_gemma":[0.00006148641,0.000096863645,0.000066913555,0.00017107696,0.0000470517,0.00024288974,0.0001064205,0.00007870985,0.0000027820042],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017223067,0.000047319703,0.00029451892,0.00015605723,0.000015447347,1.6390128e-7,0.00016217344,0.0031142924,0.97224987,0.000007645213,0.00022797324,0.023707338],"study_design_scores_gemma":[0.00030555404,0.00037086385,0.006375752,0.00008939781,0.000009472636,4.814569e-7,0.000024360057,0.000557642,0.99160564,0.00024284187,0.00028931277,0.0001286547],"about_ca_topic_score_codex":0.000017261527,"about_ca_topic_score_gemma":3.6607423e-7,"teacher_disagreement_score":0.029236257,"about_ca_system_score_codex":0.00015075234,"about_ca_system_score_gemma":0.00001671494,"threshold_uncertainty_score":0.39499846},"labels":[],"label_agreement":null},{"id":"W2049019911","doi":"10.1088/0967-3334/31/6/008","title":"Hyolaryngeal excursion as the physiological source of swallowing accelerometry signals","year":2010,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Dysphagia Assessment and Management","field":"Health Professions","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; Toronto Rehabilitation Institute; University of Toronto","funders":"Ontario Centres of Excellence","keywords":"Swallowing; Dysphagia; Medicine; Larynx; Hyoid bone; Accelerometer; Physical medicine and rehabilitation; Gold standard (test); Radiology; Surgery; Computer science","score_opus":0.17118384290731004,"score_gpt":0.40607882226279524,"score_spread":0.2348949793554852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049019911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859071,0.00011197577,0.0004998051,0.0013709223,0.0010751686,0.0013398571,0.000002608194,0.00015871861,0.0095338905],"genre_scores_gemma":[0.99667364,0.000047790127,0.00029938435,0.0017491484,0.0004895012,0.00028110365,0.000011772371,0.00002135136,0.00042631614],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9960229,0.00083199615,0.0007409343,0.0005262927,0.0011256543,0.00075224845],"domain_scores_gemma":[0.9980651,0.0003916631,0.0004000459,0.0006301528,0.00033631182,0.00017669568],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002611293,0.00031251693,0.0005477168,0.00007242061,0.000778438,0.000014647473,0.00079352007,0.00027254815,0.0027635584],"category_scores_gemma":[0.0006635179,0.00016643718,0.00025554685,0.0003240848,0.00022224984,0.00012333438,0.00063376816,0.0013740798,0.00047941357],"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":[0.00011870734,0.00049871166,0.002297769,0.000096401796,0.00013095075,0.000002281374,0.0002729074,0.000040741863,0.98024476,0.0036837622,0.0082600685,0.004352961],"study_design_scores_gemma":[0.0026869748,0.001671596,0.90331465,0.0003302006,0.00025995375,0.0000015064041,0.0029312824,0.00040253912,0.021428281,0.018879315,0.047241855,0.0008518393],"about_ca_topic_score_codex":0.00008988358,"about_ca_topic_score_gemma":0.000010141867,"teacher_disagreement_score":0.95881647,"about_ca_system_score_codex":0.000095655894,"about_ca_system_score_gemma":0.00010541401,"threshold_uncertainty_score":0.998148},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.641012,0.02302803,0.33299276,0.00014115586,0.00046921443,0.0012294616,0.00001560802,0.00096136815,0.000150371],"genre_scores_gemma":[0.9882188,0.0012238469,0.009827572,0.00012865012,0.0003612886,0.00019701873,0.000007952964,0.000031444473,0.0000034528398],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973541,0.00011739629,0.0004071372,0.000630806,0.00058121927,0.00090935256],"domain_scores_gemma":[0.9991157,0.00009500116,0.000059665646,0.00021822477,0.00022181343,0.00028961568],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039731315,0.00041284377,0.00053379737,0.00016285245,0.00028801346,0.000030571497,0.0002250981,0.00011549885,0.000014309832],"category_scores_gemma":[0.00009547035,0.00032013017,0.0003475684,0.000683207,0.00012777997,0.00009529281,0.00005252457,0.00047399016,0.0000058818464],"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":[0.00025461626,0.00040691014,0.002280627,0.00010446973,0.00011929952,0.000024491652,0.00003374755,0.00041853238,0.62441957,0.00034060082,0.004375773,0.36722136],"study_design_scores_gemma":[0.003505999,0.0020740943,0.3130272,0.00008033756,0.00033247465,0.00036232852,0.000009846776,0.60184497,0.059491392,0.011734577,0.0051981728,0.0023385715],"about_ca_topic_score_codex":0.000009735866,"about_ca_topic_score_gemma":0.0000014916609,"teacher_disagreement_score":0.6014265,"about_ca_system_score_codex":0.00012146699,"about_ca_system_score_gemma":0.00003253285,"threshold_uncertainty_score":0.9999251},"labels":[],"label_agreement":null},{"id":"W2049928562","doi":"10.1088/0967-3334/32/10/002","title":"Comparison of blood volume pulse and skin conductance responses to mental and affective stimuli at different anatomical sites","year":2011,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","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 Toronto; Holland Bloorview Kids Rehabilitation Hospital","funders":"Canadian Institutes of Health Research; Ontario Ministry of Research and Innovation; Canada Research Chairs","keywords":"Skin conductance; Arousal; Pulse (music); Audiology; Cognition; Correlation; Psychophysiology; SIGNAL (programming language); Skin temperature; Physical medicine and rehabilitation; Neuroscience; Artificial intelligence; Psychology; Biomedical engineering; Medicine; Computer science; Mathematics","score_opus":0.19876148241678157,"score_gpt":0.33637341660550574,"score_spread":0.13761193418872417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049928562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989776,0.00026835798,0.000033912205,0.00009467658,0.0000805049,0.00039263256,0.000025524587,0.000034859313,0.00009190815],"genre_scores_gemma":[0.99948525,0.000015577672,0.00025353985,0.0001716801,0.000021666094,0.00002492744,8.740622e-7,0.0000071623654,0.000019342615],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982853,0.00032641646,0.00025079105,0.0005493684,0.0003372175,0.00025088535],"domain_scores_gemma":[0.9993581,0.0001789502,0.000096553485,0.00015931767,0.000050340215,0.0001567156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001553759,0.00020444868,0.00039422978,0.00004450686,0.000111424866,0.000018749814,0.00017651836,0.000052971904,0.00007737311],"category_scores_gemma":[0.000309833,0.00013763153,0.000047083126,0.00007525908,0.00029068044,0.00005792783,0.00032975784,0.00011926754,0.000008005322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005749616,0.0006468804,0.018712176,0.000021112146,0.000020099516,0.000002864685,0.0011367054,0.0000017193204,0.97730047,0.00011019236,0.00020584709,0.0012669857],"study_design_scores_gemma":[0.00036522475,0.0012725443,0.31971595,0.000029800496,0.000016579312,0.000004981441,0.000060042614,0.0002837486,0.67786306,0.00024213838,0.00001763109,0.00012828242],"about_ca_topic_score_codex":0.000011194835,"about_ca_topic_score_gemma":0.000010858499,"teacher_disagreement_score":0.30100378,"about_ca_system_score_codex":0.000043100456,"about_ca_system_score_gemma":0.000005187755,"threshold_uncertainty_score":0.5612451},"labels":[],"label_agreement":null},{"id":"W2050501556","doi":"10.1088/0967-3334/29/11/008","title":"Is flow in the common carotid artery fully developed?","year":2008,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Heart, Lung, and Blood Institute","keywords":"Common carotid artery; Repeatability; Cardiac cycle; Blood flow; Diastole; Flow velocity; Ultrasound; Phase contrast microscopy; Cardiology; Mathematics; Flow (mathematics); Medicine; Biomedical engineering; Carotid arteries; Physics; Internal medicine; Radiology; Mechanics; Statistics; Blood pressure; Optics","score_opus":0.15486744208884518,"score_gpt":0.312051865072701,"score_spread":0.15718442298385582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050501556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947299,0.0010314856,0.00022098013,0.0015152786,0.0000913919,0.00076169544,0.000003106029,0.000036191163,0.0016099736],"genre_scores_gemma":[0.9950997,0.00015189355,0.00023516122,0.0041777394,0.00016627082,0.0001339105,0.000017885519,0.000005594204,0.000011818664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998281,0.00024371025,0.0002538,0.00023619794,0.00072041125,0.000264852],"domain_scores_gemma":[0.9993893,0.00002041826,0.000034296314,0.0003269456,0.0001021305,0.00012694811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006641104,0.00012320082,0.00029163298,0.000034268123,0.000107729844,0.0000052093774,0.00009284465,0.00005859519,0.0000826298],"category_scores_gemma":[0.00009822319,0.00007119431,0.00025530058,0.00016243187,0.000049420425,0.000027399705,0.000026652348,0.0001943449,0.00009542896],"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":[0.00831008,0.017041475,0.42144606,0.0029465342,0.001993334,0.0027318113,0.010086595,0.0007643726,0.19812946,0.0007029562,0.19110945,0.14473787],"study_design_scores_gemma":[0.0012780373,0.00012278647,0.9957324,0.00006141552,0.000046032717,0.00010217538,0.000057065598,0.00006216471,0.0003414477,0.00037477523,0.0017276318,0.0000940411],"about_ca_topic_score_codex":0.00003556669,"about_ca_topic_score_gemma":0.0000125062015,"teacher_disagreement_score":0.5742864,"about_ca_system_score_codex":0.000117593605,"about_ca_system_score_gemma":0.0001276887,"threshold_uncertainty_score":0.29032195},"labels":[],"label_agreement":null},{"id":"W2053031413","doi":"10.1088/0967-3334/26/5/015","title":"Thawing of frozen calcaneus bone specimens has no effect on the bone mineral density using dual energy x-ray absorptiometry: a study in rabbits and humans","year":2005,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Body Composition Measurement Techniques","field":"Medicine","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":"Alberta Bone and Joint Health Institute; University of Ottawa","funders":"Workplace Safety and Insurance Board; McGill University; University of Ottawa","keywords":"Calcaneus; Bone mineral; Dual-energy X-ray absorptiometry; Dual energy; Confidence interval; Medicine; Nuclear medicine; Anatomy; Osteoporosis; Surgery; Internal medicine","score_opus":0.11871930367763392,"score_gpt":0.30126089105425935,"score_spread":0.18254158737662543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053031413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975273,0.0002462424,0.00012809604,0.00046099903,0.00006151073,0.0011639261,0.0000033929318,0.00008684764,0.00032167492],"genre_scores_gemma":[0.9984661,0.00001112496,0.00074191304,0.0003781118,0.00029509744,0.00006885426,0.000005354953,0.0000214696,0.000012014373],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9967579,0.00061597046,0.0005613654,0.00051969296,0.0011676918,0.00037737357],"domain_scores_gemma":[0.99885774,0.00014363881,0.00017882987,0.00042790765,0.00027011236,0.000121750316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019847145,0.00033249788,0.00079474715,0.00022503866,0.0001615218,0.000027395678,0.00010764089,0.00010607547,0.00007039767],"category_scores_gemma":[0.00031044014,0.00020651602,0.00012805586,0.00032112424,0.00018772662,0.000058086553,0.00011675088,0.00034661134,0.0000073237366],"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":[0.00074907474,0.001890276,0.0063890447,0.00003643579,0.00010577427,0.00004455791,0.00016408743,0.000069714115,0.9895778,0.00010818572,0.00027241692,0.0005926566],"study_design_scores_gemma":[0.0058221403,0.010616059,0.75889194,0.000694885,0.00032708637,0.000036764428,0.00012921341,0.0010939231,0.22143693,0.00017921576,0.00023635081,0.0005354906],"about_ca_topic_score_codex":0.00017295848,"about_ca_topic_score_gemma":0.00009386237,"teacher_disagreement_score":0.76814085,"about_ca_system_score_codex":0.00039174024,"about_ca_system_score_gemma":0.00004129706,"threshold_uncertainty_score":0.8421479},"labels":[],"label_agreement":null},{"id":"W2055044836","doi":"10.1088/0967-3334/36/1/n1","title":"A feasibility study to determine the potential of<i>in vivo</i>detection of gadolinium by x-ray fluorescence (XRF) following gadolinium-based contrast-enhanced MRI","year":2014,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Lanthanide and Transition Metal Complexes","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Gadolinium; Detection limit; Imaging phantom; In vivo; Materials science; Nuclear medicine; X-ray fluorescence; Fluorescence; Chemistry; Analytical Chemistry (journal); Biomedical engineering; Nuclear magnetic resonance; Radiochemistry; Medicine; Optics; Physics; Chromatography","score_opus":0.05186342583687873,"score_gpt":0.2753803540443875,"score_spread":0.22351692820750876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055044836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96452844,0.000027192047,0.033875667,0.00006467482,0.00032323168,0.001103245,0.000023359698,0.000035537825,0.00001866483],"genre_scores_gemma":[0.99925643,0.0000015108571,0.0004763484,0.00011425965,0.000057657235,0.000082174614,0.0000016764382,0.000008634773,0.0000012994276],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99674743,0.0009204595,0.0006763612,0.0005110447,0.0008211677,0.00032352813],"domain_scores_gemma":[0.9988986,0.0001507768,0.00020401807,0.0004358582,0.00022212688,0.000088612185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024148272,0.00021281592,0.0005622192,0.000046096025,0.00009201871,0.000022014054,0.00037872972,0.000048318125,0.000076331286],"category_scores_gemma":[0.0003315224,0.0001301589,0.00019577141,0.00022946256,0.00011656083,0.000071556424,0.000056963265,0.00012414606,0.000010549057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006704606,0.001292364,0.00023815886,0.00003576679,0.000012413746,9.595661e-7,0.00012559046,0.0015314457,0.99583584,0.0000048163897,0.000009249069,0.00024295761],"study_design_scores_gemma":[0.0014384264,0.0016128736,0.047333192,0.00005958833,0.000044914323,2.2994355e-7,0.00013641627,0.00085424085,0.94815063,0.00021071076,0.0000042342713,0.00015455502],"about_ca_topic_score_codex":0.00016008537,"about_ca_topic_score_gemma":0.000087534885,"teacher_disagreement_score":0.0476852,"about_ca_system_score_codex":0.000050996005,"about_ca_system_score_gemma":0.000029351811,"threshold_uncertainty_score":0.5307726},"labels":[],"label_agreement":null},{"id":"W2056511666","doi":"10.1088/0967-3334/25/1/003","title":"Three-dimensional visualization and thickness estimation of aortic valve cusps using high-frequency ultrasound","year":2003,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"London Health Sciences Centre; Robarts Clinical Trials; Western University","funders":"Canada Research Chairs; Ontario Innovation Trust","keywords":"Ultrasound; Volume (thermodynamics); Distilled water; Biomedical engineering; High frequency ultrasound; Materials science; Aortic valve; Heart valve; Medicine; Radiology; Chemistry; Cardiology; Physics","score_opus":0.06532259457150272,"score_gpt":0.34451821007894706,"score_spread":0.2791956155074443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056511666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942169,0.0007438722,0.0044574155,0.000009838313,0.00009339294,0.0003868009,0.000008071654,0.000024549778,0.00005915382],"genre_scores_gemma":[0.9975713,0.000018177567,0.0022575208,0.000059618986,0.000025688285,0.000018748116,0.000037997354,0.000010087021,8.4467615e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987674,0.0000774408,0.0002473734,0.00025008566,0.00050130585,0.00015640563],"domain_scores_gemma":[0.9993363,0.00004253648,0.00010684705,0.00015623905,0.00025171103,0.00010635852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021145945,0.00014564912,0.00030236994,0.000036653597,0.000075740376,0.000008054759,0.000021863572,0.00006171216,0.000071134404],"category_scores_gemma":[0.00035728293,0.00010362747,0.00025718904,0.000120905,0.000073444855,0.0000504583,0.00001263945,0.000054196287,0.000004673013],"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":[0.00041384323,0.003442551,0.25656244,0.0005678034,0.002166694,0.000007990127,0.00011106024,0.003822435,0.7077566,0.02061059,0.00007392064,0.0044640917],"study_design_scores_gemma":[0.001487948,0.00035537276,0.9757203,0.00018388753,0.00092200976,0.000015170939,0.000018687293,0.0021335697,0.005631907,0.013376521,9.667555e-7,0.00015365404],"about_ca_topic_score_codex":0.00007817314,"about_ca_topic_score_gemma":0.0000010032636,"teacher_disagreement_score":0.7191579,"about_ca_system_score_codex":0.00011511583,"about_ca_system_score_gemma":0.00007005462,"threshold_uncertainty_score":0.42258057},"labels":[],"label_agreement":null},{"id":"W2060392470","doi":"10.1088/0967-3334/31/2/010","title":"Arterio-venous anastomoses in mice affect perfusion measurements with dynamic contrast enhanced CT","year":2010,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"MRI in cancer diagnosis","field":"Medicine","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":"Lawson Health Research Institute; Robarts Clinical Trials; Western University","funders":"","keywords":"Perfusion; Medicine; Abdominal aorta; Nuclear medicine; Perfusion scanning; Iodinated contrast; Anastomosis; Vein; Radiology; Aorta; Internal medicine; Surgery; Computed tomography","score_opus":0.05016631666207442,"score_gpt":0.2956742077215104,"score_spread":0.24550789105943596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060392470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99603826,0.00020196014,0.00017454333,0.0007437102,0.00033594717,0.0013436268,0.0000059859867,0.00011473184,0.0010412575],"genre_scores_gemma":[0.9980162,0.000111759284,0.0008096491,0.00048146292,0.00012613783,0.00039132588,0.000014549415,0.000034441964,0.000014482014],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99696773,0.0001569281,0.00039504343,0.000717147,0.0011590027,0.0006041454],"domain_scores_gemma":[0.99877363,0.000070682145,0.00014871509,0.00044932278,0.00031476337,0.00024285693],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007418612,0.00037933275,0.00069584226,0.00011049275,0.000101166086,0.000024980169,0.0002122372,0.00009970936,0.00038772397],"category_scores_gemma":[0.00019422485,0.00025529994,0.00012115474,0.0002983611,0.0001647702,0.00007935865,0.00005500126,0.0006024331,0.000072169685],"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":[0.0007159308,0.0016992763,0.0060870526,0.0000883721,0.00006484252,0.000043968193,0.00009127705,0.000038699745,0.9781638,0.0000055019395,0.0002112667,0.012790026],"study_design_scores_gemma":[0.0049827355,0.0036596088,0.6267613,0.00072998815,0.00015057586,0.000056900073,0.00008673928,0.00017924083,0.362496,0.000088179004,0.00032029953,0.00048844406],"about_ca_topic_score_codex":0.00013348232,"about_ca_topic_score_gemma":0.0013683407,"teacher_disagreement_score":0.62067425,"about_ca_system_score_codex":0.00047312965,"about_ca_system_score_gemma":0.0001552389,"threshold_uncertainty_score":0.9999899},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873614,0.006794393,0.0009323785,0.0004253379,0.0005864379,0.0010496235,0.00025472243,0.000094031864,0.0025017124],"genre_scores_gemma":[0.99908686,0.00056463585,0.00016877727,0.00007189343,0.0000682823,0.0000119637325,0.000015188381,0.00000675917,0.0000056650015],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9975466,0.00013908636,0.0007104304,0.000202504,0.0010926715,0.00030867071],"domain_scores_gemma":[0.9983215,0.000038522823,0.00026937094,0.00083706237,0.0004576706,0.00007590841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000540762,0.00022711471,0.00045346934,0.00005111259,0.00009062604,0.000005559219,0.00089803047,0.00013075398,0.00003988029],"category_scores_gemma":[0.00035468498,0.00012557696,0.00023408313,0.00054404273,0.00024257888,0.00020067504,0.00024970438,0.00029116022,0.000025789705],"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":[0.0002575334,0.00090343435,0.0059405104,0.0008115475,0.00065818045,0.0000013677062,0.00048034108,0.0016699313,0.9597185,0.00078547944,0.007180063,0.02159308],"study_design_scores_gemma":[0.0016236921,0.0009891277,0.8552241,0.00068790826,0.0002460478,0.000010467664,0.000113577,0.006807098,0.1306734,0.0005549986,0.002500688,0.0005689582],"about_ca_topic_score_codex":0.00009131263,"about_ca_topic_score_gemma":0.000004615632,"teacher_disagreement_score":0.8492835,"about_ca_system_score_codex":0.00006144415,"about_ca_system_score_gemma":0.00006355421,"threshold_uncertainty_score":0.512088},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24408567,0.008566934,0.72777534,0.0010666499,0.0077607036,0.004131159,0.0007967656,0.0026492984,0.0031674528],"genre_scores_gemma":[0.978232,0.000113622795,0.020302102,0.00010745582,0.0010173937,0.00016534576,0.000033671793,0.000019336683,0.000009066392],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982749,0.00007292118,0.0005061459,0.00029044817,0.00030119848,0.00055437733],"domain_scores_gemma":[0.9992401,0.00014442176,0.00006901549,0.00020812966,0.00013816234,0.00020017919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009992548,0.00022028596,0.0003033052,0.000050729537,0.00011547482,0.000017919769,0.00014960821,0.00016134801,0.000020086709],"category_scores_gemma":[0.00020786951,0.0001597073,0.00028640105,0.00021480207,0.00007777926,0.000078960955,0.000017642307,0.00022867527,0.000025203988],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032499206,0.0007276455,0.00318667,0.00019342569,0.0002762794,0.0000011504293,0.000026837073,0.001075159,0.025168069,0.00005293424,0.051031847,0.917935],"study_design_scores_gemma":[0.012694731,0.0038708022,0.51317024,0.00052803516,0.00046266057,0.000021479222,0.00007104385,0.29912063,0.110305674,0.002066422,0.054370843,0.0033174464],"about_ca_topic_score_codex":0.0000040599934,"about_ca_topic_score_gemma":0.00000210497,"teacher_disagreement_score":0.91461754,"about_ca_system_score_codex":0.00010269022,"about_ca_system_score_gemma":0.000014200331,"threshold_uncertainty_score":0.65126747},"labels":[],"label_agreement":null},{"id":"W2064417247","doi":"10.1088/0967-3334/35/11/2255","title":"Post-trial anatomical frame alignment procedure for comparison of 3D joint angle measurement from magnetic/inertial measurement units and camera-based systems","year":2014,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","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":"Kingston General Hospital; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Joint (building); Calibration; Kinematics; Inertial frame of reference; Reference frame; Computer vision; System of measurement; Computer science; Inertial measurement unit; Artificial intelligence; Frame (networking); Motion capture; Frame of reference; Position (finance); Rotation (mathematics); Motion (physics); Mathematics; Physics; Engineering; Statistics","score_opus":0.14814680263170082,"score_gpt":0.34527795262831784,"score_spread":0.19713114999661702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064417247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9756923,0.0029187782,0.009582616,0.00078518025,0.001969699,0.008418683,0.00021445427,0.00018473573,0.00023360706],"genre_scores_gemma":[0.9957547,0.000023417278,0.0009357533,0.00050317944,0.0009084521,0.001707012,0.000113241476,0.000044584485,0.000009621851],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9921253,0.0017309154,0.0017456192,0.00091890094,0.0025958377,0.0008834672],"domain_scores_gemma":[0.9950246,0.00021310252,0.00086148723,0.00056977116,0.0029605203,0.00037050826],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0044165635,0.0005343722,0.0013193022,0.000105810475,0.00050506153,0.000030913063,0.00032427112,0.0004739811,0.00003457928],"category_scores_gemma":[0.001792384,0.00040398957,0.0002008385,0.0001920063,0.00016598821,0.00007429214,0.00013841054,0.0005758665,0.000023638479],"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":[0.009246182,0.0034952722,0.0016811645,0.0011758972,0.00022942285,4.758223e-7,0.0004821522,0.00008023014,0.9759517,0.000628334,0.0038714893,0.0031577244],"study_design_scores_gemma":[0.21396223,0.035189506,0.61561596,0.009100739,0.002182968,0.0000017110492,0.005785496,0.06655534,0.02313092,0.004511006,0.019926934,0.0040371525],"about_ca_topic_score_codex":0.0005906199,"about_ca_topic_score_gemma":0.00023110422,"teacher_disagreement_score":0.9528207,"about_ca_system_score_codex":0.000840113,"about_ca_system_score_gemma":0.00050037267,"threshold_uncertainty_score":0.9998412},"labels":[],"label_agreement":null},{"id":"W2064976834","doi":"10.1088/0967-3334/26/6/006","title":"Can mechanical myotonometry or electromyography be used for the prediction of intramuscular pressure?","year":2005,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Pain Management and Treatment","field":"Medicine","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":"University of Calgary","funders":"Tekes; Stryker","keywords":"Electromyography; Physical medicine and rehabilitation; Medicine; Computer science","score_opus":0.09219137798207439,"score_gpt":0.2837905218784803,"score_spread":0.19159914389640592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064976834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8838821,0.0063390927,0.03983789,0.049008854,0.00063071225,0.018428748,0.00020890005,0.00066253997,0.0010011717],"genre_scores_gemma":[0.9971956,0.00012511779,0.0013071805,0.0005147225,0.00022985144,0.00053630647,0.000027569944,0.000011465928,0.000052184983],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984956,0.000075629294,0.00030063273,0.0002962815,0.0005481438,0.0002837479],"domain_scores_gemma":[0.9992288,0.00011431397,0.000096225725,0.00033125113,0.00014272939,0.00008668528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060402666,0.0001719479,0.0003294315,0.000063602056,0.00009460553,0.0000086740165,0.00013500242,0.000074295465,0.000108553155],"category_scores_gemma":[0.00016069433,0.00008448032,0.0002723201,0.00021415755,0.00006834834,0.000027868933,0.000034884746,0.00011717186,0.0000016726759],"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":[0.005143786,0.011087302,0.007399676,0.0008760277,0.011013693,0.0000082998495,0.00031753106,0.0006026035,0.8741962,0.014656352,0.014495991,0.060202595],"study_design_scores_gemma":[0.0228661,0.020212999,0.4989435,0.00036513372,0.008315229,0.000010545633,0.00038370365,0.018190812,0.2520844,0.0062752827,0.17151849,0.00083379116],"about_ca_topic_score_codex":0.000010133432,"about_ca_topic_score_gemma":0.000011569056,"teacher_disagreement_score":0.62211174,"about_ca_system_score_codex":0.00009099188,"about_ca_system_score_gemma":0.000037427555,"threshold_uncertainty_score":0.34450075},"labels":[],"label_agreement":null},{"id":"W2066327394","doi":"10.1088/0967-3334/23/1/305","title":"Comparison of segmental and global bioimpedance spectroscopy errors using generalizability theory","year":2001,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Generalizability theory; Supine position; Reliability (semiconductor); Repeated measures design; Random effects model; Medicine; Clinical trial; Physical medicine and rehabilitation; Orthodontics; Physical therapy; Statistics; Nuclear medicine; Mathematics; Surgery; Internal medicine; Meta-analysis","score_opus":0.18647138149229778,"score_gpt":0.4036562085045612,"score_spread":0.2171848270122634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066327394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984266,0.000899291,0.013256753,0.00014880279,0.00006991912,0.00055855134,0.0000068400877,0.0001185677,0.0006752744],"genre_scores_gemma":[0.98233354,0.00004157946,0.017313726,0.00020740436,0.00007190394,0.00001563506,0.000006032556,0.000008153982,0.0000020278883],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979788,0.0002492942,0.00043208365,0.00037906753,0.0006906219,0.00027010345],"domain_scores_gemma":[0.99917924,0.000015938165,0.00015873936,0.00028906894,0.00021973369,0.0001372854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007934419,0.00020773485,0.00051479205,0.000031352873,0.00008466011,0.000009049447,0.00009825444,0.0000844607,0.00011034392],"category_scores_gemma":[0.000086817,0.00015765784,0.000109401444,0.00018349943,0.0002780183,0.00005180196,0.00007570668,0.00013734553,0.0000030054932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000443243,0.0007106285,0.1468676,0.000053970536,0.000051514104,0.0000025900533,0.000023580893,0.000017663993,0.8502696,0.00063000637,0.00014081101,0.0007887769],"study_design_scores_gemma":[0.001123515,0.0014118348,0.44514668,0.00018258601,0.00015600055,0.00003927125,0.00010479759,0.0012624889,0.54390156,0.006361297,0.00006300878,0.00024691827],"about_ca_topic_score_codex":0.000026853868,"about_ca_topic_score_gemma":0.000002956408,"teacher_disagreement_score":0.30636802,"about_ca_system_score_codex":0.00044145252,"about_ca_system_score_gemma":0.000047234786,"threshold_uncertainty_score":0.64290994},"labels":[],"label_agreement":null},{"id":"W2068125632","doi":"10.1088/0967-3334/32/4/001","title":"The effect of lower body cooling on the changes in three core temperature indices","year":2011,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Thermoregulation and physiological responses","field":"Medicine","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":"Brock University; Defence Research and Development Canada; Memorial University of Newfoundland","funders":"Institute of Physics and Engineering in Medicine","keywords":"Core (optical fiber); Rectal temperature; Core temperature; Materials science; Phase (matter); Animal science; Analytical Chemistry (journal); Medicine; Chemistry; Composite material; Anesthesia; Chromatography","score_opus":0.15633578786476862,"score_gpt":0.3054862202162974,"score_spread":0.14915043235152878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068125632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981581,0.00026943593,7.942893e-7,0.00035628065,0.000094068535,0.0006435053,0.0000024510073,0.00002495839,0.0004504327],"genre_scores_gemma":[0.9993138,0.000041217474,0.000005687726,0.00043692274,0.00008260776,0.00009388312,0.0000020282164,0.0000069561497,0.000016948214],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986529,0.00029685927,0.00019345037,0.00020535791,0.0004292758,0.00022219378],"domain_scores_gemma":[0.9988403,0.0006149081,0.00010388338,0.00030385953,0.00007984968,0.000057207653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009803262,0.00016683128,0.0003016381,0.00002672776,0.00011691129,0.000006770898,0.0001935719,0.00009894359,0.00022852203],"category_scores_gemma":[0.00091402617,0.00005680204,0.0001043248,0.00015651596,0.00021266176,0.000010841966,0.00004597706,0.00029631972,0.000016802338],"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":[0.019323202,0.00026466523,0.0025649308,0.00003443193,0.000066230576,0.0000076259457,0.000110981346,0.000008979891,0.97082174,0.0017712002,0.00017362603,0.0048523764],"study_design_scores_gemma":[0.00052674464,0.005283013,0.92327374,0.0001625628,0.000021463793,0.0000011485889,0.00003473137,0.000028896719,0.06944859,0.0010105923,0.00013416828,0.00007433245],"about_ca_topic_score_codex":0.000011231495,"about_ca_topic_score_gemma":0.000022116772,"teacher_disagreement_score":0.92070884,"about_ca_system_score_codex":0.000036803664,"about_ca_system_score_gemma":0.000016704733,"threshold_uncertainty_score":0.2502156},"labels":[],"label_agreement":null},{"id":"W2068325213","doi":"10.1088/0967-3334/34/10/1387","title":"Effects of dobutamine stress on cardiac contraction synchronism in a canine model","year":2013,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Cardiac pacing and defibrillation studies","field":"Medicine","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":"Université de Montréal; Montreal Heart Institute","funders":"Canadian Institutes of Health Research","keywords":"Dobutamine; Ventricle; Medicine; Cardiology; Internal medicine; Contraction (grammar); Cardiac cycle; Cardiac resynchronization therapy; Isovolumetric contraction; Synchronism; Interventricular septum; Cardiac output; Hemodynamics; Anesthesia; Heart failure; Ejection fraction; Blood pressure; Diastole","score_opus":0.04518525016595945,"score_gpt":0.273535067053268,"score_spread":0.22834981688730857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068325213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99356794,0.00066365657,0.0001703461,0.00011384459,0.000114386254,0.00068399945,0.000005257347,0.000035320612,0.004645228],"genre_scores_gemma":[0.9994846,0.00010193184,0.000068623405,0.00008832661,0.00009485789,0.000119740616,0.0000045042752,0.000006664094,0.000030739364],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988986,0.00006857333,0.00022334584,0.00020788297,0.00042500117,0.00017656687],"domain_scores_gemma":[0.99942124,0.00009710572,0.000070649105,0.00013830088,0.00020696013,0.00006572444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014781833,0.00013025745,0.00055471255,0.000054333974,0.000027192704,0.000004335692,0.0000122670635,0.000058926835,0.0000064037204],"category_scores_gemma":[0.00024014853,0.00008776956,0.00013249177,0.00008871991,0.000042600408,0.000027044698,0.000019737232,0.00011213145,0.000022313143],"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":[0.00024232251,0.000489844,0.003357783,0.00029298506,0.0001956184,0.000003013288,0.000126622,0.009354666,0.9805801,0.0001835875,0.0015657367,0.003607756],"study_design_scores_gemma":[0.0020664844,0.00080084516,0.91400033,0.00046039218,0.0001026135,0.0000024207188,0.00007050357,0.0025720168,0.07936844,0.0003159861,0.00007052678,0.00016943041],"about_ca_topic_score_codex":0.00018371538,"about_ca_topic_score_gemma":0.0000026124726,"teacher_disagreement_score":0.91064256,"about_ca_system_score_codex":0.00016669175,"about_ca_system_score_gemma":0.000026393584,"threshold_uncertainty_score":0.35791385},"labels":[],"label_agreement":null},{"id":"W2069771649","doi":"10.1088/0967-3334/35/12/2415","title":"On estimating the directionality distribution in pedicle trabecular bone from micro-CT images","year":2014,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Medical Imaging and Analysis","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":"Oncolytics Biotech (Canada); University of Toronto","funders":"Chongqing University","keywords":"Directionality; Trabecular bone; Distribution (mathematics); Computer science; Biomedical engineering; Biological system; Mathematics; Biology; Engineering; Mathematical analysis","score_opus":0.03177338663566819,"score_gpt":0.23713473895810527,"score_spread":0.20536135232243707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069771649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9641018,0.0002400084,0.03467993,0.00043317213,0.00014285176,0.00006715075,0.00001311895,0.00012452889,0.00019747038],"genre_scores_gemma":[0.9992136,0.000004964682,0.0004252478,0.00012153951,0.00016433647,0.00002582386,0.000036653444,0.000005586001,0.0000022644538],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892706,0.00015132163,0.00019782447,0.0001866327,0.00035654887,0.00018060462],"domain_scores_gemma":[0.9996104,0.00011864705,0.0000256013,0.0001603789,0.000029135279,0.000055815424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067664584,0.000112801245,0.00018013873,0.000012121911,0.000074562406,0.000020445254,0.00009774711,0.00001802294,0.000058629787],"category_scores_gemma":[0.00053177105,0.00006784455,0.00007758184,0.0001109161,0.000051732328,0.00002449542,0.000015774971,0.00021124289,0.000030892228],"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":[0.000019649726,0.00053998496,0.0046327263,0.0000749966,0.00016196637,0.000011632752,0.000090157875,0.14904726,0.73455316,0.00040417665,0.008915456,0.10154883],"study_design_scores_gemma":[0.0008046303,0.000060386625,0.43088496,0.00023472862,0.00007898978,0.0000024968956,0.000034411976,0.50124615,0.04559673,0.01975158,0.000891347,0.00041362172],"about_ca_topic_score_codex":0.00012823333,"about_ca_topic_score_gemma":0.0000042096194,"teacher_disagreement_score":0.68895644,"about_ca_system_score_codex":0.000100379475,"about_ca_system_score_gemma":0.0000036412941,"threshold_uncertainty_score":0.27666205},"labels":[],"label_agreement":null},{"id":"W2070431005","doi":"10.1088/0967-3334/31/6/003","title":"Characterization and reproducibility of forearm arterial flow during reactive hyperemia","year":2010,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","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":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Reactive hyperemia; Forearm; Blood flow; Reproducibility; Medicine; Cardiology; Internal medicine; Perfusion; Biomedical engineering; Chemistry; Pathology","score_opus":0.04839915331431913,"score_gpt":0.2775776731965623,"score_spread":0.22917851988224316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070431005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99886954,0.000043072872,0.00013145019,0.000090308626,0.00022980096,0.0005092741,0.000008017602,0.000027287053,0.000091251684],"genre_scores_gemma":[0.9993551,0.000014071999,0.000215854,0.000030381389,0.0002989483,0.000033667337,0.000041589763,0.000004768184,0.00000564274],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988617,0.000059342186,0.00020814763,0.00046119094,0.00028613675,0.00012353007],"domain_scores_gemma":[0.99907327,0.0000061095056,0.00007073867,0.0005305338,0.00018980399,0.00012952425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075292616,0.00008117058,0.0002504832,0.000021283684,0.000042726362,0.0000039962365,0.000023510338,0.00006263998,0.000044219567],"category_scores_gemma":[0.0007110165,0.000060382496,0.00011713304,0.000048677735,0.000051860745,0.000041063646,0.000029354766,0.00012625109,0.000002649694],"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":[0.00081581605,0.00020625979,0.002777132,0.00018197965,0.00003659671,0.0000013088593,0.000035696612,4.0031748e-7,0.98826945,0.000013272104,0.0000030591489,0.007659039],"study_design_scores_gemma":[0.0010034343,0.00006830202,0.8570147,0.000031005144,0.00006321342,0.000010333937,0.000008335158,0.000029399933,0.14149368,0.00018128584,0.000046817244,0.000049502512],"about_ca_topic_score_codex":0.000009687079,"about_ca_topic_score_gemma":0.000003043113,"teacher_disagreement_score":0.85423756,"about_ca_system_score_codex":0.000037354224,"about_ca_system_score_gemma":0.000045857232,"threshold_uncertainty_score":0.24623267},"labels":[],"label_agreement":null},{"id":"W2071213031","doi":"10.1088/0967-3334/29/9/008","title":"Time and time–frequency characterization of dual-axis swallowing accelerometry signals","year":2008,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Dysphagia Assessment and Management","field":"Health Professions","cited_by":72,"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 Rehabilitation Institute; University of Toronto","funders":"Toronto Rehabilitation Institute; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Swallowing; Accelerometer; Characterization (materials science); Medicine; Physical medicine and rehabilitation; Computer science; Physics; Radiology","score_opus":0.15476275922884417,"score_gpt":0.3577510851171231,"score_spread":0.20298832588827895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071213031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928651,0.00007588941,0.00016701603,0.00026707622,0.00013945985,0.0008498431,0.000010245375,0.000098013195,0.005527367],"genre_scores_gemma":[0.99805707,0.00014421353,0.00024932757,0.00038393846,0.00012104143,0.00010474334,0.000052069423,0.000014644282,0.00087294483],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977792,0.0003917288,0.00054973137,0.0003317524,0.00056851865,0.0003790748],"domain_scores_gemma":[0.9990831,0.00008777368,0.00026789858,0.00022040962,0.00023061626,0.00011017228],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00084648555,0.00018818316,0.0004186111,0.000089759465,0.00036291205,0.0000041417798,0.0001296224,0.00011835238,0.0019851266],"category_scores_gemma":[0.00013153044,0.00014218914,0.000070865666,0.00021395244,0.00009553667,0.0001616943,0.00017440076,0.00021295772,0.00043240306],"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":[0.00003008974,0.00018641705,0.0023592252,0.000086978886,0.000086853586,0.0000040927516,0.00022533906,0.0000028079844,0.99552345,0.00017057182,0.00079821487,0.00052596314],"study_design_scores_gemma":[0.0013794468,0.0006231439,0.98429954,0.0002959069,0.000090667585,0.0000012445543,0.000103972074,0.00037801778,0.010397572,0.0009904173,0.0010235184,0.00041652945],"about_ca_topic_score_codex":0.000012777973,"about_ca_topic_score_gemma":3.6904612e-7,"teacher_disagreement_score":0.9851259,"about_ca_system_score_codex":0.0001167251,"about_ca_system_score_gemma":0.00006299426,"threshold_uncertainty_score":0.9989272},"labels":[],"label_agreement":null},{"id":"W2071270512","doi":"10.1088/0967-3334/36/5/967","title":"Variability in estimating shunt from single pulse oximetry measurements","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Grand Challenges Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Pulse oximetry; Shunt (medical); Computer science; Medicine; Cardiology; Anesthesia","score_opus":0.18788278479348677,"score_gpt":0.26990072579097113,"score_spread":0.08201794099748436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071270512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9579457,0.00035029577,0.03653309,0.000021833877,0.0014871256,0.0004272767,0.000008378056,0.0004141818,0.0028121131],"genre_scores_gemma":[0.979946,0.0000012095387,0.019484729,0.000026387428,0.00042115527,0.000080471844,0.0000080788805,0.000031279185,6.840734e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973045,0.0002819088,0.00048460288,0.00045764007,0.00095949526,0.00051183254],"domain_scores_gemma":[0.99898726,0.00011520707,0.00005579015,0.0003874255,0.00019454306,0.00025978335],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018146515,0.00031132007,0.00040079057,0.00006707216,0.00004240842,0.000045670797,0.00030248862,0.00013018132,0.00004939321],"category_scores_gemma":[0.0016422824,0.00027294853,0.00008044147,0.000285761,0.000045560086,0.00018043308,0.00011648636,0.00031398088,0.0000972653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025415035,0.00031026822,0.016518869,0.000033146778,0.00004747423,0.000006679267,0.00009865495,0.025873326,0.94884425,0.0000076025926,0.0001096717,0.008124611],"study_design_scores_gemma":[0.003614642,0.00060547324,0.13720354,0.0005793501,0.000084220555,0.0000030814067,0.00025149286,0.039742004,0.77720237,0.03867368,0.00012932789,0.0019108143],"about_ca_topic_score_codex":0.00014655261,"about_ca_topic_score_gemma":0.000016323833,"teacher_disagreement_score":0.1716419,"about_ca_system_score_codex":0.0014228221,"about_ca_system_score_gemma":0.000027964867,"threshold_uncertainty_score":0.9999723},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9727199,0.0038194,0.00015458344,0.000005363151,0.0002742837,0.00046642742,0.0000054976426,0.00013765325,0.022416875],"genre_scores_gemma":[0.9993229,0.00025565276,0.00020422453,0.0000062993445,0.00012169271,0.0000729403,0.000001776087,0.000012990598,0.0000015129774],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9971289,0.00023952783,0.00043053628,0.00027139828,0.001580639,0.0003489679],"domain_scores_gemma":[0.99870366,0.00001268788,0.0001222761,0.00026010568,0.00081153767,0.00008971473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002045624,0.00023530559,0.00036385024,0.00007430707,0.000053079708,0.000008326753,0.00022417503,0.00013309387,0.00014585348],"category_scores_gemma":[0.00006341151,0.00016597351,0.00017385522,0.00037230193,0.00006869392,0.000066450986,0.000035433935,0.00018077066,0.00008184412],"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":[0.00023156877,0.0013634276,0.008886357,0.0032543358,0.0010336861,0.000002556956,0.00030062336,0.0028788724,0.66741097,0.006319003,0.00036529824,0.3079533],"study_design_scores_gemma":[0.0008263132,0.0014342874,0.76691157,0.000814891,0.0007312041,0.0000024649746,0.00004593639,0.06608228,0.16204236,0.0005561546,0.00007788134,0.00047465114],"about_ca_topic_score_codex":0.000023292592,"about_ca_topic_score_gemma":5.3651786e-7,"teacher_disagreement_score":0.7580252,"about_ca_system_score_codex":0.00025488183,"about_ca_system_score_gemma":0.000042234955,"threshold_uncertainty_score":0.67682034},"labels":[],"label_agreement":null},{"id":"W2075762842","doi":"10.1088/0967-3334/32/9/001","title":"The effect of ventricular assist devices on cerebral blood flow and blood pressure fractality","year":2011,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","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":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Cerebral blood flow; Cerebral autoregulation; Transcranial Doppler; Blood pressure; Medicine; Blood flow; Fractal; Cardiology; Hemodynamics; Cerebral perfusion pressure; Anesthesia; Internal medicine; Mathematics; Autoregulation; Mathematical analysis","score_opus":0.04514016779461211,"score_gpt":0.2468513423460424,"score_spread":0.20171117455143028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075762842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99713355,0.0012791861,0.000009025146,0.0002632469,0.00006931904,0.0006475729,0.000006971202,0.000030249552,0.0005608531],"genre_scores_gemma":[0.99967843,0.0000049411333,0.000067392706,0.0000967237,0.00008321848,0.000052687406,0.0000022555794,0.000005495946,0.000008837972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848807,0.00038643487,0.00027866955,0.00029371187,0.00032801216,0.00022512674],"domain_scores_gemma":[0.9991721,0.00021611623,0.00009349431,0.0003223365,0.00008304154,0.00011292526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001274592,0.00016194322,0.0004043539,0.00001456552,0.00012517415,0.000010876198,0.00009522592,0.00009238402,0.00008505856],"category_scores_gemma":[0.0004996897,0.00007842107,0.00013724396,0.00005805219,0.00013261408,0.000025478677,0.00004709966,0.00020701779,0.000007104018],"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":[0.003881237,0.007822073,0.5970907,0.001900761,0.0072930986,0.000113477356,0.00048476728,0.00007057092,0.32258642,0.0019174089,0.00024383947,0.056595612],"study_design_scores_gemma":[0.0020513604,0.003452264,0.8975035,0.00009618277,0.0011750621,0.000006578636,0.000009854919,0.0002355548,0.094058394,0.0001772637,0.0011322547,0.00010171623],"about_ca_topic_score_codex":0.00003965976,"about_ca_topic_score_gemma":0.0000033841993,"teacher_disagreement_score":0.30041277,"about_ca_system_score_codex":0.000009455872,"about_ca_system_score_gemma":0.00002955044,"threshold_uncertainty_score":0.31979185},"labels":[],"label_agreement":null},{"id":"W2077320490","doi":"10.1088/0967-3334/35/4/549","title":"Measure of synchrony in the activity of intrinsic cardiac neurons","year":2014,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Neural dynamics and brain function","field":"Neuroscience","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":"Université de Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"National Heart, Lung, and Blood Institute; Natural Sciences and Engineering Research Council of Canada","keywords":"Jitter; Context (archaeology); Neuroscience; Premovement neuronal activity; Cardiac function curve; Population; Computer science; Medicine; Cardiology; Biology","score_opus":0.09167806741231392,"score_gpt":0.2589810047669909,"score_spread":0.16730293735467694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077320490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99807733,0.000015903792,0.00015935393,0.00031516392,0.00019426084,0.00027048934,0.000004501108,0.00001298785,0.0009500308],"genre_scores_gemma":[0.99973637,0.000014856753,0.000008422253,0.00016792079,0.00004495915,0.000020940528,3.3123268e-7,0.000004305277,0.0000019218112],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99792993,0.0008345946,0.00019726742,0.00026300346,0.00060458435,0.0001706215],"domain_scores_gemma":[0.99923456,0.00026342555,0.00012698559,0.0002850914,0.00006348501,0.000026431997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085259473,0.000108006876,0.0002532547,0.000034320394,0.00004334518,0.000006285746,0.00025729177,0.00004090016,0.000007841456],"category_scores_gemma":[0.0011741001,0.00006103984,0.00011201318,0.00024482582,0.0001275195,0.000044520806,0.00005536343,0.00018070752,0.0000040234836],"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":[0.000051733907,0.0002248964,0.00031240634,0.000020866615,0.0000024780027,2.9731981e-7,0.000024920615,0.00013746426,0.98362035,0.0024213153,0.00005201512,0.013131232],"study_design_scores_gemma":[0.00035112072,0.00086316606,0.5414648,0.00003966039,0.000016607408,0.000001216914,0.000014457639,0.0011703253,0.4524027,0.003287813,0.00024880609,0.00013931206],"about_ca_topic_score_codex":0.000024379126,"about_ca_topic_score_gemma":0.0000051189236,"teacher_disagreement_score":0.5411524,"about_ca_system_score_codex":0.000031307238,"about_ca_system_score_gemma":0.000015650508,"threshold_uncertainty_score":0.24891326},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978048,0.017854765,0.000046846853,0.00006298001,0.00012385848,0.00046121818,0.000033161086,0.000102671795,0.0032664824],"genre_scores_gemma":[0.9951446,0.00454042,0.00006787757,0.00004151518,0.000124011,0.00004328865,0.0000024459453,0.000025166506,0.000010677299],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9974955,0.00017589572,0.0004888357,0.0004701851,0.00053688104,0.0008327248],"domain_scores_gemma":[0.998869,0.00016483247,0.00016832633,0.0003940876,0.00019649968,0.00020722904],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058813766,0.00048417487,0.0005691007,0.00006204629,0.00026695005,0.00005064592,0.00037433818,0.00015298462,0.00014012944],"category_scores_gemma":[0.00015404659,0.00025252247,0.00043769815,0.00033354145,0.0002787404,0.000080136975,0.00006868653,0.0005529833,0.000031273918],"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":[0.0011490574,0.0007190748,0.002797934,0.00010242501,0.000825805,0.000009480526,0.00018301957,0.00007223545,0.9367933,0.0006490129,0.0023310552,0.0543676],"study_design_scores_gemma":[0.00093560765,0.010353373,0.8401502,0.0002564636,0.00013179013,0.000007820939,0.000035457902,0.0036203614,0.13558568,0.007996668,0.00021413191,0.0007124426],"about_ca_topic_score_codex":0.00010510802,"about_ca_topic_score_gemma":0.0000061089686,"teacher_disagreement_score":0.8373523,"about_ca_system_score_codex":0.00017764319,"about_ca_system_score_gemma":0.00005977954,"threshold_uncertainty_score":0.9999927},"labels":[],"label_agreement":null},{"id":"W2079634210","doi":"10.1088/0967-3334/35/12/2343","title":"Segmentation and classification of capnograms: application in respiratory variability analysis","year":2014,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Wilfrid Laurier University; Ottawa Hospital","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Naive Bayes classifier; Artificial intelligence; Pattern recognition (psychology); Decision tree; Segmentation; Waveform; Capnography; Data mining; Machine learning; Support vector machine; Medicine","score_opus":0.0814803197527697,"score_gpt":0.30302120840043917,"score_spread":0.22154088864766946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079634210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97576636,0.00002494008,0.023149434,0.00029469535,0.000011416408,0.00048688316,0.0000015612717,0.00001883576,0.0002458611],"genre_scores_gemma":[0.99929804,0.000003853464,0.00043820383,0.00012582215,0.0000248531,0.00009452107,0.000011417595,0.0000023318792,9.600368e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987485,0.0003164508,0.00036581943,0.00027661107,0.00019165898,0.00010095406],"domain_scores_gemma":[0.9993944,0.00008579478,0.00009422932,0.00024260474,0.00012634514,0.00005660334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022818265,0.00007581818,0.00030899697,0.000079496196,0.000022168275,0.0000040800455,0.00003225092,0.0000677909,0.00001588216],"category_scores_gemma":[0.00034288608,0.00005875431,0.00006314171,0.00029603523,0.00007067144,0.000030800482,0.000013325648,0.00008537862,0.0000032770247],"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":[0.00003605438,0.000319193,0.089963995,0.000053905176,0.000058226742,4.0131187e-8,0.00005968745,0.00012404688,0.86980015,0.00091140467,0.0000024556646,0.038670816],"study_design_scores_gemma":[0.0005417442,0.0001668684,0.97538805,0.000009997624,0.00014004738,7.247579e-8,0.000027653721,0.018514723,0.0037019253,0.001192886,0.00026329458,0.000052762123],"about_ca_topic_score_codex":0.00004872733,"about_ca_topic_score_gemma":0.000030288693,"teacher_disagreement_score":0.885424,"about_ca_system_score_codex":0.0001263368,"about_ca_system_score_gemma":0.000032444106,"threshold_uncertainty_score":0.23959312},"labels":[],"label_agreement":null},{"id":"W2081032856","doi":"10.1088/0967-3334/36/3/n51","title":"Effect of sample preparation techniques on the concentrations and distributions of elements in biological tissues using <i>µ</i>SRXRF: a comparative study","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","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":"McMaster University","funders":"McMaster University","keywords":"Stratum corneum; Epidermis (zoology); Dermis; Cryofixation; Significant difference; Spongy tissue; Chemistry; Human skin; Zinc; Materials science; Biophysics; Anatomy; Pathology; Biology; Ultrastructure; Biochemistry; Metallurgy; Mathematics","score_opus":0.15088163094966064,"score_gpt":0.38724848060953604,"score_spread":0.2363668496598754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081032856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969003,0.000029780344,0.002118945,0.000020622652,0.000010134054,0.00076246157,0.000040430303,0.000007839122,0.00010945013],"genre_scores_gemma":[0.99951434,0.0000021299993,0.0003302592,0.0000035591659,0.000025193058,0.00009988929,0.000022700237,0.0000016230697,3.0473714e-7],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99866796,0.00048807883,0.00030359096,0.00018395622,0.00023084546,0.00012555285],"domain_scores_gemma":[0.99940133,0.00015834843,0.00014955517,0.00013751243,0.00011812728,0.000035147023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007379638,0.00011666434,0.0003166453,0.000024424831,0.00006816425,0.000010164033,0.000092800045,0.000021556103,0.00002486216],"category_scores_gemma":[0.00007383756,0.00006337324,0.000051496867,0.00017692152,0.00013094797,0.000041516512,0.00003787073,0.00008665672,7.9391896e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005798973,0.0028151257,0.6264574,0.000011079328,0.0002485373,3.024315e-7,0.0013515048,0.00045015494,0.35575637,0.011343096,0.0000834565,0.00090305775],"study_design_scores_gemma":[0.001398162,0.011461415,0.07594139,0.0001211112,0.00019170593,1.0919643e-7,0.0035730144,0.0038327575,0.8947745,0.0083963275,0.000032001546,0.0002775282],"about_ca_topic_score_codex":0.00021946254,"about_ca_topic_score_gemma":0.000011651348,"teacher_disagreement_score":0.550516,"about_ca_system_score_codex":0.000043162305,"about_ca_system_score_gemma":0.000021422264,"threshold_uncertainty_score":0.25842857},"labels":[],"label_agreement":null},{"id":"W2083524136","doi":"10.1088/0967-3334/33/12/2099","title":"Human pose recovery using wireless inertial measurement units","year":2012,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Non-Invasive Vital Sign Monitoring","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":"University of Waterloo","funders":"","keywords":"Accelerometer; Gyroscope; Kinematics; Computer science; Inertial measurement unit; Motion capture; Kalman filter; Wearable computer; Sagittal plane; Mean squared error; Joint (building); Artificial intelligence; Simulation; Computer vision; Motion (physics); Engineering; Mathematics; Medicine","score_opus":0.19402165862661253,"score_gpt":0.27049948298750387,"score_spread":0.07647782436089134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083524136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929399,0.0011393239,0.002153088,0.000009186597,0.0018760482,0.0003601792,0.000005040024,0.0004089244,0.0011082941],"genre_scores_gemma":[0.9976979,0.000015343641,0.00034348023,0.000037733647,0.0017871183,0.000054641918,0.000004004567,0.000056505123,0.0000033030099],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997161,0.00014699837,0.00041699677,0.0002906239,0.0011450794,0.0008393251],"domain_scores_gemma":[0.99889886,0.0000178568,0.00006897565,0.0003357249,0.00037526022,0.0003033214],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00089489267,0.00038365586,0.00037762456,0.000086238615,0.00019310121,0.000041108793,0.00026567242,0.00014377218,0.00006300376],"category_scores_gemma":[0.00013388533,0.000328076,0.000115172574,0.00033183908,0.000054512846,0.00029733294,0.00011227461,0.00031890054,0.00007338901],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000141776645,0.00014210823,0.0010607578,0.0000625246,0.00011783794,0.0000026526131,0.000059970538,0.0028028202,0.9934108,0.000085827734,0.0004098687,0.0018306054],"study_design_scores_gemma":[0.0009362918,0.0003222733,0.03922114,0.00037120027,0.00013242148,0.000009388453,0.00009900565,0.0003508359,0.95613843,0.000624144,0.0005998464,0.0011950225],"about_ca_topic_score_codex":0.000038052833,"about_ca_topic_score_gemma":0.000005147328,"teacher_disagreement_score":0.038160384,"about_ca_system_score_codex":0.001132236,"about_ca_system_score_gemma":0.000031804073,"threshold_uncertainty_score":0.99991715},"labels":[],"label_agreement":null},{"id":"W2088397223","doi":"10.1088/0967-3334/31/3/002","title":"Characterization of volumetric flow rate waveforms at the carotid bifurcations of older adults","year":2010,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":134,"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":"Canadian Institutes of Health Research; National Institute on Aging; National Institutes of Health; Heart and Stroke Foundation of Canada","keywords":"Waveform; Internal carotid artery; Medicine; Cardiac cycle; Cardiology; Common carotid artery; Systole; Blood flow; Carotid bifurcation; Internal medicine; Carotid arteries; Diastole; Blood pressure; Physics","score_opus":0.02910715916166603,"score_gpt":0.25841599144189736,"score_spread":0.22930883228023133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088397223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99786896,0.00013000127,0.00060732826,0.00022175004,0.00018569895,0.0008519046,0.000020099224,0.000016532262,0.00009771549],"genre_scores_gemma":[0.9993946,0.00005800374,0.00009096143,0.00009695269,0.00011009799,0.000088343724,0.00012773185,0.0000058711585,0.000027445954],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99885076,0.000087112174,0.0003085848,0.00016936232,0.00044267447,0.00014151204],"domain_scores_gemma":[0.9989166,0.000018461324,0.00015068978,0.00035316776,0.00045475987,0.00010629228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005898373,0.00008891524,0.00025044958,0.000056207326,0.00006574766,0.0000023125149,0.000062841194,0.00006145692,0.00020347242],"category_scores_gemma":[0.00034373466,0.00004865671,0.00026122478,0.00026997816,0.0000695124,0.000029701241,0.000038074028,0.00011719894,0.00001681924],"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":[0.00024654772,0.0003439466,0.00253309,0.00023831736,0.0000657736,2.1590971e-7,0.000063183164,0.000007843496,0.9861557,0.000024755534,0.000045827357,0.010274797],"study_design_scores_gemma":[0.001031826,0.00008899562,0.92744565,0.000075143,0.000109928325,0.0000024837877,0.000014681684,0.00025594924,0.07078408,0.000042870553,0.0000986955,0.000049673923],"about_ca_topic_score_codex":0.000029613151,"about_ca_topic_score_gemma":0.000012188878,"teacher_disagreement_score":0.9249126,"about_ca_system_score_codex":0.00004875255,"about_ca_system_score_gemma":0.00006905665,"threshold_uncertainty_score":0.22278802},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99613744,0.00033678874,0.0020368332,0.00006044367,0.00025618167,0.00047692444,0.0000048358993,0.00022151587,0.0004690157],"genre_scores_gemma":[0.99622196,0.000007799712,0.0032952814,0.000022971806,0.00016649229,0.00026681548,0.000005228418,0.000011740201,0.0000017364081],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99885553,0.000037864946,0.00026387622,0.00026700273,0.00022394526,0.00035177515],"domain_scores_gemma":[0.99964815,0.000030238945,0.000029854982,0.00016322588,0.000057496283,0.0000710173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054363854,0.0001654401,0.00020682832,0.000095238785,0.00004561985,0.000022389777,0.00013864446,0.000118808915,0.000018323753],"category_scores_gemma":[0.0000849906,0.0001229196,0.00013923577,0.00035714585,0.00006248782,0.00007538373,0.000017183711,0.00033963163,0.000004352278],"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":[0.000022909879,0.00012596662,0.0005028771,0.0000925329,0.0000074410113,2.2427707e-7,0.000014986293,0.00005927674,0.9168763,0.00044061037,0.00005523233,0.08180162],"study_design_scores_gemma":[0.0014947898,0.0008599299,0.78951824,0.000026179856,0.000035351786,0.0000024080762,0.00007099882,0.013220724,0.16603734,0.027264211,0.00052231277,0.0009475202],"about_ca_topic_score_codex":0.000017406577,"about_ca_topic_score_gemma":0.000043654756,"teacher_disagreement_score":0.78901535,"about_ca_system_score_codex":0.000031365194,"about_ca_system_score_gemma":0.000006821224,"threshold_uncertainty_score":0.50125164},"labels":[],"label_agreement":null},{"id":"W2088912323","doi":"10.1088/0967-3334/26/1/001","title":"Evaluation of potentially significant increase of lead in the blood during long-term bed rest and space flight","year":2004,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","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":"McMaster University","funders":"National Center for Research Resources; Institut pour la Recherche en Santé Publique; Natural Sciences and Engineering Research Council of Canada; National Aeronautics and Space Administration; U.S. Public Health Service; National Space Biomedical Research Institute","keywords":"Bed rest; Lead (geology); Rest (music); Medicine; Duration (music); Environmental science; Surgery; Internal medicine; Geology; Physics","score_opus":0.07794775554610037,"score_gpt":0.2718967551334878,"score_spread":0.19394899958738746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088912323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989506,0.00010081848,0.000029458432,0.00012864155,0.000016549597,0.00041123404,0.0000018940672,0.000005402473,0.00035542855],"genre_scores_gemma":[0.99978036,0.000023721077,0.00012803299,0.00002262526,0.000016624073,0.000022886257,0.0000012583959,0.000003179101,0.000001343422],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99765915,0.0004506489,0.00027939465,0.0002344456,0.0012120173,0.00016436362],"domain_scores_gemma":[0.99957526,0.000023685887,0.000112022375,0.00020099714,0.000044907487,0.000043142998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027042395,0.00010466204,0.00018704722,0.000019190506,0.000046815036,0.000005928179,0.000162421,0.00004615461,0.000055933982],"category_scores_gemma":[0.0002769508,0.00006266891,0.000049260318,0.00014359654,0.00018060805,0.00006082082,0.00007877351,0.00009550675,0.000007029129],"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":[0.00004270734,0.00064088556,0.016781127,0.000019194937,0.000016246631,0.0000045067623,0.00015363423,0.00074335793,0.98079515,0.00004875113,0.0000010991246,0.0007533469],"study_design_scores_gemma":[0.0006746034,0.0001872768,0.7015421,0.000029023444,0.000059581696,0.0000015886104,0.00001527861,0.000011800029,0.29661033,0.00081295724,3.5392276e-7,0.00005513948],"about_ca_topic_score_codex":0.0004691764,"about_ca_topic_score_gemma":0.000256238,"teacher_disagreement_score":0.6847609,"about_ca_system_score_codex":0.00008859133,"about_ca_system_score_gemma":0.000024248095,"threshold_uncertainty_score":0.25555637},"labels":[],"label_agreement":null},{"id":"W2089238175","doi":"10.1088/0967-3334/36/3/465","title":"Measurements of fluorine in contemporary urban Canadians: a comparison of the levels found in human bone using<i>in vivo</i>and<i>ex vivo</i>neutron activation analysis","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Fluoride Effects and Removal","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Fluorine; In vivo; Neutron activation analysis; Discontinuity (linguistics); Chemistry; Radiochemistry; Animal science; Medicine; Biology; Mathematics; Genetics","score_opus":0.22133201569851904,"score_gpt":0.3183766214929029,"score_spread":0.09704460579438387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089238175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987406,0.00018327664,0.000011806261,0.00008277244,0.00005579799,0.0005074781,0.0000042554857,0.0000046027585,0.00040937628],"genre_scores_gemma":[0.9997918,9.21252e-7,0.0001007829,0.00005905194,0.00001633948,0.0000146070715,0.0000014876892,0.000006967773,0.000008044628],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9975126,0.00039683635,0.0006288902,0.0003516472,0.0008370707,0.0002729811],"domain_scores_gemma":[0.99933,0.000030781677,0.0002342267,0.00025985437,0.00004555987,0.00009960214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013976865,0.00018542305,0.0005864342,0.00013287945,0.00003799224,0.000007588243,0.00021756995,0.00008405713,0.000043602613],"category_scores_gemma":[0.00013297262,0.00012454427,0.000085136395,0.0009547377,0.00019767189,0.00011193167,0.00013133812,0.00017530935,7.54383e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058302314,0.00034243762,0.34629,0.000018683457,0.00002734722,9.94608e-7,0.00035757973,0.021630883,0.6311091,0.000006102895,0.00009278627,0.00006575289],"study_design_scores_gemma":[0.0013077175,0.00022277277,0.9057141,0.0001341296,0.00003686237,2.564563e-7,0.00014058557,0.0045155575,0.087640375,0.000091583584,0.000032580818,0.00016351159],"about_ca_topic_score_codex":0.04126785,"about_ca_topic_score_gemma":0.02298596,"teacher_disagreement_score":0.5594241,"about_ca_system_score_codex":0.00077329326,"about_ca_system_score_gemma":0.000048441416,"threshold_uncertainty_score":0.994842},"labels":[],"label_agreement":null},{"id":"W2089293534","doi":"10.1088/0967-3334/30/12/002","title":"Automatic detection and classification of human epicardial atrial unipolar electrograms","year":2009,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"ECG Monitoring and Analysis","field":"Medicine","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":"Université de Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Atrial fibrillation; Cardiology; Medicine; Internal medicine","score_opus":0.0943828598248542,"score_gpt":0.31791484846337753,"score_spread":0.22353198863852333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089293534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989277,0.0002512869,0.00027170219,0.00016032884,0.00004052594,0.00015790909,2.8676868e-7,0.0000640131,0.000126245],"genre_scores_gemma":[0.99937034,0.00002969595,0.0002192594,0.00001920711,0.00034546666,0.0000050239955,0.000003874722,0.0000032321682,0.000003914314],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990542,0.000088225155,0.00022407238,0.00017806678,0.0003220868,0.00013333143],"domain_scores_gemma":[0.99956834,0.000012163752,0.0000887923,0.00014285003,0.00011810578,0.000069748516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033284584,0.00008901307,0.0002761933,0.00004584927,0.000072248586,0.0000071896975,0.0000339203,0.00006593777,0.00000796907],"category_scores_gemma":[0.00012048212,0.00006354445,0.00015541805,0.00014023019,0.000040645034,0.000020658474,0.000006679847,0.00011331177,0.0000028964082],"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":[0.000044195076,0.00011703278,0.0013018141,0.000014862848,0.000060231916,4.4237538e-7,0.000012477852,0.0000017320542,0.8484947,0.00005361929,0.0000060445864,0.14989287],"study_design_scores_gemma":[0.0008677772,0.0025625222,0.9355022,0.000057246245,0.00034034095,0.0000028251138,0.000025595164,0.0016636403,0.057495546,0.0013367984,0.000049798888,0.000095767755],"about_ca_topic_score_codex":0.000010506596,"about_ca_topic_score_gemma":0.0000011802572,"teacher_disagreement_score":0.93420035,"about_ca_system_score_codex":0.000070393624,"about_ca_system_score_gemma":0.000011464899,"threshold_uncertainty_score":0.25912678},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99485683,0.0009257313,0.0027833984,0.000018033605,0.00009752592,0.00020479978,0.0000022641077,0.00011155562,0.0009998861],"genre_scores_gemma":[0.9995236,0.000036132136,0.0003590993,0.000009961729,0.00004043803,0.000020207111,0.0000016053996,0.000006488419,0.0000024855062],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992539,0.00006818987,0.00020041915,0.000121393125,0.00020972003,0.00014632297],"domain_scores_gemma":[0.9996503,0.000038245795,0.00005662564,0.00010915791,0.000111169145,0.0000345043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015191274,0.00011033998,0.00024529727,0.000045739314,0.000014944921,0.0000041701273,0.00010707291,0.000048382895,0.000018408384],"category_scores_gemma":[0.00014497135,0.00007193079,0.00006322201,0.00017551957,0.000069891146,0.000044828485,0.000015568512,0.000083836414,0.000002457156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019804645,0.000038912698,0.00055797404,0.00025636618,0.00003647748,5.5511954e-8,0.000020782005,0.0006191742,0.9576554,0.0000464997,0.0001671135,0.040581442],"study_design_scores_gemma":[0.00018976965,0.000369375,0.049338482,0.00015944643,0.000023019149,3.7158574e-7,0.000004144981,0.012959659,0.936439,0.00033451777,0.000056488745,0.00012572094],"about_ca_topic_score_codex":0.000007424419,"about_ca_topic_score_gemma":0.0000018177766,"teacher_disagreement_score":0.048780505,"about_ca_system_score_codex":0.000021541528,"about_ca_system_score_gemma":0.0000041349513,"threshold_uncertainty_score":0.29332528},"labels":[],"label_agreement":null},{"id":"W2092597389","doi":"10.1088/0967-3334/23/3/307","title":"In vitro investigation of calcium distribution and tissue thickness in the human thoracic aorta","year":2002,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Aortic aneurysm repair treatments","field":"Medicine","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":"London Health Sciences Centre; Robarts Clinical Trials; Western University","funders":"Canada Research Chairs; Heart and Stroke Foundation of Canada","keywords":"Cadaveric spasm; Calcification; Thoracic aorta; Medicine; Aorta; Calcium; Pathological; Anatomy; Cardiology; Radiology; Pathology; Internal medicine","score_opus":0.13662606483606834,"score_gpt":0.3407977562452367,"score_spread":0.20417169140916838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092597389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981465,0.00021446774,0.000044106248,0.00094249245,0.000017716362,0.0004915754,0.000004015359,0.000012666599,0.00012648928],"genre_scores_gemma":[0.9995762,0.000013040598,0.0000687146,0.00020161823,0.000028836224,0.000066824694,0.00002918265,0.000003982836,0.000011584127],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987565,0.0002158515,0.00029090984,0.00020426745,0.000378838,0.00015358363],"domain_scores_gemma":[0.9996104,0.000033858047,0.00007861826,0.00017719337,0.00005556272,0.0000443438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045718555,0.00010760096,0.00023016975,0.000027582197,0.000035469606,0.0000041269286,0.000060093575,0.000067857705,0.000030194284],"category_scores_gemma":[0.0001375266,0.000062573265,0.000027576598,0.00016414354,0.00012728407,0.000042269497,0.000023303981,0.00015081598,0.000005824437],"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":[0.0000890756,0.0006014281,0.03677823,0.000113331786,0.000013455163,0.00004064897,0.0006837966,0.0000038145035,0.95897716,0.00015036386,0.0002470463,0.002301619],"study_design_scores_gemma":[0.00067473674,0.00037344202,0.93571305,0.00007821379,0.000041586147,0.000015955336,0.00011664484,0.00013375188,0.06155072,0.0012010861,0.000027213198,0.00007357269],"about_ca_topic_score_codex":0.000083921404,"about_ca_topic_score_gemma":0.000005869292,"teacher_disagreement_score":0.89893484,"about_ca_system_score_codex":0.0001130388,"about_ca_system_score_gemma":0.000008527079,"threshold_uncertainty_score":0.25516635},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14474793,0.0032775002,0.85041505,0.000018441771,0.00006800156,0.0004890625,0.0000072760904,0.00067920046,0.00029751408],"genre_scores_gemma":[0.86341107,0.000047072223,0.13608235,0.000024909368,0.00022123435,0.00018459251,0.0000059763347,0.000021492646,0.0000012759857],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984025,0.00007181972,0.00030418093,0.0004013702,0.0002948705,0.00052529987],"domain_scores_gemma":[0.99950564,0.00006326423,0.000039428327,0.00015307029,0.00011206333,0.0001265636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044756426,0.00025404044,0.00035016905,0.00009824651,0.00013211764,0.000044177857,0.00014130982,0.000115683026,0.0000013720584],"category_scores_gemma":[0.000005113556,0.00018962257,0.00016399476,0.0003824503,0.000030612315,0.000091159425,0.000015397782,0.00017210482,0.000001171398],"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":[0.0001416577,0.0002604092,0.00013460523,0.0003647671,0.000117577656,0.0000038620965,0.00003147584,0.2794206,0.67443234,0.010275394,0.00044238797,0.034374904],"study_design_scores_gemma":[0.00043420025,0.00043490724,0.0008332881,0.000040724583,0.000047214544,0.0000066998737,0.00001407686,0.9743843,0.018863114,0.004362189,0.00020833993,0.00037096482],"about_ca_topic_score_codex":0.00002164387,"about_ca_topic_score_gemma":0.0000022749102,"teacher_disagreement_score":0.71866316,"about_ca_system_score_codex":0.000081342616,"about_ca_system_score_gemma":0.000007034941,"threshold_uncertainty_score":0.77325845},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9701097,0.0071153357,0.019736303,0.00028534472,0.0002547039,0.0011931532,0.000033732667,0.0008035067,0.00046822932],"genre_scores_gemma":[0.9965849,0.00023832252,0.0025781959,0.0001509943,0.00022555247,0.0001625596,0.000031873704,0.000026444031,0.0000011482244],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977311,0.00003139023,0.0003831842,0.0005537867,0.00044002297,0.0008605502],"domain_scores_gemma":[0.9992462,0.000058903115,0.000043598287,0.00046478858,0.00008340436,0.000103115824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005189941,0.0002818418,0.00036431674,0.00014957268,0.00007842155,0.000032603803,0.0006364131,0.00013008405,0.0000064604233],"category_scores_gemma":[0.00015261091,0.00022120343,0.00014024274,0.0009373446,0.000046230143,0.00014424454,0.00006615016,0.00035801146,0.000011111482],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020350004,0.0007154062,0.001461299,0.00015851107,0.00014300655,0.000013664193,0.000039222487,0.009442269,0.93360823,0.0017127634,0.001411396,0.051090747],"study_design_scores_gemma":[0.015529307,0.0065161968,0.2805046,0.0007072914,0.00035470596,0.00008216623,0.00006686309,0.15382794,0.31281847,0.20996271,0.012954206,0.0066755586],"about_ca_topic_score_codex":0.000020231493,"about_ca_topic_score_gemma":0.000050438262,"teacher_disagreement_score":0.62078977,"about_ca_system_score_codex":0.00020480057,"about_ca_system_score_gemma":0.00003559316,"threshold_uncertainty_score":0.90204144},"labels":[],"label_agreement":null},{"id":"W2103218354","doi":"10.1088/0967-3334/27/4/005","title":"Generalizability of extracellular-to-intracellular fluid ratio using bio-impedance spectroscopy","year":2006,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Generalizability theory; Supine position; Extracellular fluid; Random effects model; Mathematics; Facet (psychology); Consistency (knowledge bases); Orthodontics; Medicine; Statistics; Nuclear medicine; Internal medicine; Extracellular; Psychology; Chemistry; Geometry; Meta-analysis","score_opus":0.08487129200208979,"score_gpt":0.30349757785420833,"score_spread":0.21862628585211855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103218354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.869148,0.0009843961,0.12754668,0.00038011282,0.0001124679,0.001207484,0.0000066561565,0.00022589849,0.00038829804],"genre_scores_gemma":[0.9425933,0.000013062401,0.05677508,0.00018857139,0.0003055451,0.00005774723,0.000018801928,0.000024957943,0.00002295083],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99673444,0.00024461,0.0007741317,0.0006001809,0.0012006453,0.00044601504],"domain_scores_gemma":[0.9982893,0.000019667748,0.0002031567,0.00063989486,0.0006697443,0.00017826169],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001190545,0.00031585724,0.00063046167,0.00010730898,0.00010834346,0.000018878734,0.00019314002,0.00013341609,0.00019100014],"category_scores_gemma":[0.00013135436,0.00025556234,0.0002361579,0.00028451002,0.0001581985,0.000066653,0.00006809988,0.00020228102,0.000023703016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022264318,0.0009300829,0.002338408,0.00010074694,0.000036527057,0.000008291339,0.00001322506,0.00047879273,0.99377817,0.0009564146,0.0009441789,0.00019249626],"study_design_scores_gemma":[0.0006015548,0.00069316104,0.029396743,0.0001386584,0.00009441473,0.000009353767,0.000006114955,0.0022585993,0.96463305,0.0015565116,0.0003627851,0.00024907166],"about_ca_topic_score_codex":0.00010303629,"about_ca_topic_score_gemma":0.0000044847034,"teacher_disagreement_score":0.07344528,"about_ca_system_score_codex":0.00050754915,"about_ca_system_score_gemma":0.00010810353,"threshold_uncertainty_score":0.9999897},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95311886,0.00049956964,0.043261137,0.000054565142,0.0005903251,0.0005892129,0.0000088984025,0.00045216142,0.0014252554],"genre_scores_gemma":[0.9947536,0.000048993523,0.004841626,0.000028829978,0.00025858032,0.000049687398,0.00000416282,0.000011345218,0.000003162435],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99897236,0.000013854842,0.00024894014,0.00020229653,0.0001731068,0.00038943792],"domain_scores_gemma":[0.9996845,0.0000419024,0.000025883162,0.00008860386,0.00010294905,0.0000561509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052788155,0.00013488755,0.00016841525,0.00009997356,0.00007345344,0.000018139239,0.00008090851,0.00008281002,0.000021365886],"category_scores_gemma":[0.00007051588,0.000105692656,0.000112741174,0.00036285716,0.000030461433,0.00009364798,0.00001091777,0.00017704877,0.000010141783],"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":[0.000028606719,0.00008123654,0.0009768619,0.00005320439,0.00002739854,0.0000014705051,0.000017884884,0.0004433055,0.8307756,0.00006733787,0.00036421526,0.16716288],"study_design_scores_gemma":[0.003071249,0.0011027227,0.4873502,0.0002973139,0.000081167986,0.000040054623,0.00028277718,0.05429657,0.43238577,0.015296743,0.0040978044,0.0016976242],"about_ca_topic_score_codex":0.000009722015,"about_ca_topic_score_gemma":0.00002108437,"teacher_disagreement_score":0.48637334,"about_ca_system_score_codex":0.00014772688,"about_ca_system_score_gemma":0.000006063661,"threshold_uncertainty_score":0.43100214},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9357666,0.008428156,0.016427265,0.0009897863,0.00093710294,0.0024966463,0.00006941166,0.00078759657,0.034097433],"genre_scores_gemma":[0.9926661,0.00035193755,0.0064021973,0.00014528682,0.0003574014,0.00002889876,0.0000073088527,0.000016423004,0.0000244505],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99741995,0.00014469773,0.00061492756,0.000558101,0.0006445256,0.0006178026],"domain_scores_gemma":[0.9989457,0.000033351746,0.00012243897,0.00035531583,0.00028775987,0.00025544866],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047513042,0.00040021556,0.0006420229,0.00016186887,0.00009392625,0.00002225564,0.0003141171,0.00021635338,0.00004790426],"category_scores_gemma":[0.00014853918,0.00030288164,0.00031843793,0.0009438445,0.00008237499,0.00008445869,0.00004135407,0.00042106764,0.00005335497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002251734,0.0009607691,0.00017383738,0.0002730576,0.00020060246,0.0000024517685,0.00010540698,0.006342998,0.8921352,0.0007892493,0.0016422136,0.097149044],"study_design_scores_gemma":[0.0036924689,0.009107917,0.30549428,0.0015097427,0.0007885007,0.00005164231,0.00024240438,0.06916938,0.59256625,0.012073522,0.0016545383,0.003649322],"about_ca_topic_score_codex":0.000017368538,"about_ca_topic_score_gemma":4.758006e-7,"teacher_disagreement_score":0.30532044,"about_ca_system_score_codex":0.00015301639,"about_ca_system_score_gemma":0.000026462147,"threshold_uncertainty_score":0.9999423},"labels":[],"label_agreement":null},{"id":"W2128502847","doi":"10.1088/0967-3334/34/5/503","title":"Design of a phantom equivalent to measure bone-fluorine in a human's hand via delayed neutron activation analysis","year":2013,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","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":"McMaster University; McMaster University Medical Centre","funders":"","keywords":"Imaging phantom; Neutron activation analysis; Calibration; Fluorine; Fluoride; SIGNAL (programming language); Contamination; Materials science; Biomedical engineering; Radiochemistry; Optics; Chemistry; Computer science; Engineering; Physics; Metallurgy","score_opus":0.07780457511379973,"score_gpt":0.28526577332474395,"score_spread":0.20746119821094422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128502847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8454854,0.000014326835,0.15308365,0.00024309538,0.000014398973,0.000948513,0.000006396628,0.000018804005,0.00018542327],"genre_scores_gemma":[0.9984311,7.689147e-7,0.00086735026,0.00005738369,0.0000933411,0.0005040173,0.000023997838,0.00001331814,0.000008727442],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983792,0.00011944094,0.0003979397,0.00038062446,0.00042245578,0.000300398],"domain_scores_gemma":[0.9990691,0.00002773454,0.000167245,0.00032859918,0.00029101144,0.00011630618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002924731,0.00020151821,0.00041427035,0.00012640923,0.00010836042,0.000036776084,0.00019495585,0.000037315185,0.00030680877],"category_scores_gemma":[0.0000057901616,0.00016295938,0.00016608534,0.0007066298,0.000042007054,0.00010064996,0.00007958936,0.00013166647,0.000039780676],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003422945,0.00068945036,0.0004807583,0.0000061233377,0.00023095832,8.127249e-8,0.00009183594,0.009906324,0.98214424,0.001234376,0.00018606598,0.0049955384],"study_design_scores_gemma":[0.0026217813,0.0012378823,0.350822,0.00014172897,0.00058852,1.5065845e-7,0.00026619877,0.016827175,0.5837713,0.042418633,0.00022212333,0.0010825207],"about_ca_topic_score_codex":0.00073160103,"about_ca_topic_score_gemma":0.0000056731687,"teacher_disagreement_score":0.39837298,"about_ca_system_score_codex":0.00008292994,"about_ca_system_score_gemma":0.000017694543,"threshold_uncertainty_score":0.6645291},"labels":[],"label_agreement":null},{"id":"W2139549280","doi":"10.1088/0967-3334/33/3/487","title":"Intraluminal ultrasonic probe for volumetric monitoring of liquid gastroesophageal reflux","year":2012,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Gastroesophageal reflux and treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Calgary","funders":"Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; Agence Nationale de la Recherche","keywords":"Ultrasonic sensor; Biomedical engineering; Materials science; Ultrasound; Reflux; Catheter; Volume (thermodynamics); Radiology; Medicine; Pathology","score_opus":0.11648662137237886,"score_gpt":0.32848966859162104,"score_spread":0.21200304721924218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139549280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964671,0.00085494795,0.0012671239,0.00003073161,0.000281587,0.00091686094,0.000010772824,0.0000577767,0.00011309271],"genre_scores_gemma":[0.98585546,0.000020953396,0.013109581,0.000028162465,0.0006555252,0.00024497573,0.000017301541,0.00002114666,0.000046864643],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979119,0.00006290434,0.00039770154,0.00029573467,0.0006338759,0.0006978932],"domain_scores_gemma":[0.9988915,0.00005015378,0.0001521084,0.00026416764,0.00030942148,0.0003326736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005329607,0.00024496473,0.0005153727,0.0000947437,0.00007641846,0.000005873577,0.0001120938,0.00009397741,0.00005710095],"category_scores_gemma":[0.00041111058,0.00016752146,0.00025940133,0.00022272293,0.000078177334,0.00009218978,0.000035975627,0.00016741292,0.000029081424],"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":[0.00130358,0.0032270541,0.39056915,0.00035887244,0.00037933732,0.000015730988,0.00009672466,0.000005606503,0.59634656,0.00016366354,0.00015595213,0.0073777293],"study_design_scores_gemma":[0.0017700193,0.005501562,0.80367154,0.00008414079,0.00022743677,0.000016938871,0.000025011794,0.0000058986334,0.18852851,0.00006156205,0.000034700475,0.000072657975],"about_ca_topic_score_codex":0.0000030480774,"about_ca_topic_score_gemma":5.401825e-8,"teacher_disagreement_score":0.4131024,"about_ca_system_score_codex":0.00026041185,"about_ca_system_score_gemma":0.000052904346,"threshold_uncertainty_score":0.6831327},"labels":[],"label_agreement":null},{"id":"W2146373240","doi":"10.1088/0967-3334/30/8/003","title":"Diamagnetically stabilized levitation control of an intraluminal magnetic capsule","year":2009,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Gastrointestinal Bleeding Diagnosis and Treatment","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Calgary","funders":"Olympus","keywords":"Levitation; Capsule; Magnetic levitation; Electromagnet; Peristalsis; Magnet; Engineering; Mechanical engineering; Anatomy; Medicine","score_opus":0.05588419355855154,"score_gpt":0.2846238659786387,"score_spread":0.22873967242008716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146373240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970301,0.00035676625,0.00032839237,0.0012524715,0.000032465272,0.00058391166,0.000004906005,0.00004784254,0.00036314473],"genre_scores_gemma":[0.994656,0.000016299588,0.0048565995,0.00033451253,0.00007058644,0.000042306037,0.000012184249,0.0000061386786,0.0000053745216],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99848425,0.00010336036,0.00034201524,0.00028474216,0.0005254569,0.00026019668],"domain_scores_gemma":[0.9990758,0.00003747854,0.00008496082,0.0002137048,0.0003806235,0.00020748086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032180938,0.00016838772,0.00041157746,0.000039141432,0.000036455505,0.0000094085635,0.000073435716,0.000045624656,0.00020244415],"category_scores_gemma":[0.00038203926,0.000113149676,0.00011628502,0.000092005466,0.00009324557,0.000039822135,0.000008078879,0.000109363005,0.0000148480085],"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":[0.0005365947,0.0033957383,0.0022049078,0.00003318285,0.000027560882,0.000019206973,0.00003674168,0.00003920439,0.96654755,0.0006830929,0.000077368706,0.026398858],"study_design_scores_gemma":[0.003817718,0.028579686,0.9463374,0.00013399556,0.0002378942,0.000021093761,0.000043771004,0.0005374014,0.018391388,0.0017631608,0.000019252873,0.00011722084],"about_ca_topic_score_codex":0.000012698555,"about_ca_topic_score_gemma":0.0000013448814,"teacher_disagreement_score":0.9481562,"about_ca_system_score_codex":0.000089499474,"about_ca_system_score_gemma":0.00004287137,"threshold_uncertainty_score":0.461411},"labels":[],"label_agreement":null},{"id":"W2147578162","doi":"10.1088/0967-3334/30/3/006","title":"Pilot acute study of feedback-controlled retrograde peristalsis invoked by neural gastric electrical stimulation","year":2009,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Gastrointestinal motility and disorders","field":"Medicine","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":"University of Calgary","funders":"","keywords":"Gastroparesis; Stimulation; Transducer; Antrum; Electrode; Biomedical engineering; Peristalsis; Erythromycin; Stomach; Medicine; Chemistry; Anatomy; Internal medicine; Acoustics; Physics; Gastric emptying","score_opus":0.06679171105501958,"score_gpt":0.29108332686902244,"score_spread":0.22429161581400286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147578162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971587,0.0002331072,0.00033175453,0.00043544974,0.000034702625,0.0015665374,0.000002815375,0.00008919982,0.00014773887],"genre_scores_gemma":[0.9992419,0.000008710601,0.00034059017,0.00027306323,0.000047801732,0.00004629097,0.000018923673,0.000008698224,0.000014038956],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9974535,0.00025778124,0.00058263936,0.00042607603,0.0008940917,0.0003859071],"domain_scores_gemma":[0.99897844,0.000064127315,0.00018797647,0.00027367327,0.0002999993,0.00019578714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036665195,0.00025885,0.0007970899,0.00008912271,0.00008581481,0.0000145165095,0.00012920184,0.000045965626,0.000050450435],"category_scores_gemma":[0.00072878995,0.00017973124,0.00020348594,0.00040561226,0.0000611773,0.00005216472,0.000024005076,0.00030255617,0.0000058984297],"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":[0.019100046,0.021364285,0.039760247,0.000026185131,0.0002946962,0.000018205721,0.000108707754,0.00037448097,0.9102852,0.000018485545,0.0014262539,0.007223227],"study_design_scores_gemma":[0.01708974,0.051039837,0.9278532,0.000032494027,0.00039936337,0.000013154251,0.00013148255,0.002401292,0.0005633122,0.00032460506,0.000003386035,0.0001481069],"about_ca_topic_score_codex":0.000039676648,"about_ca_topic_score_gemma":0.0000031326322,"teacher_disagreement_score":0.90972185,"about_ca_system_score_codex":0.0001326135,"about_ca_system_score_gemma":0.000032998414,"threshold_uncertainty_score":0.7329228},"labels":[],"label_agreement":null},{"id":"W2148298612","doi":"10.1088/0967-3334/26/5/005","title":"The dielectric properties of the cranial skin of five young captive Steller sea lions (<i>Eumetopias jubatus</i>), and a similar number of young domestic pigs (<i>Sus scrofa</i>) and sheep (<i>Ovis aries</i>) between 0.1 and 10 GHz","year":2005,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sea lion; Biology; Zoology; Range (aeronautics); Ovis canadensis; Fishery; Elephant seal; Predation; Anatomy; Ecology; Medicine; Materials science","score_opus":0.02281802173371495,"score_gpt":0.2163742180757589,"score_spread":0.19355619634204396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148298612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944086,0.004170649,0.00012244699,0.00015286924,0.00008166739,0.0006101797,0.00003305797,0.00003920288,0.0003813111],"genre_scores_gemma":[0.99867535,0.00090007763,0.00015772539,0.000016514594,0.00014028029,0.00005046049,0.0000020329776,0.000026200943,0.000031334774],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980498,0.00019607287,0.00053790776,0.00030996214,0.0005098464,0.00039643707],"domain_scores_gemma":[0.99895436,0.00022106693,0.0001724611,0.0003092471,0.00024600627,0.00009685747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044395827,0.00031577292,0.0005860605,0.000041314015,0.00021616493,0.000029981678,0.0002417943,0.00014666097,0.000012436918],"category_scores_gemma":[0.00018827812,0.00017929052,0.00010098107,0.00029574853,0.0006520888,0.00009755525,0.00020621288,0.00032795125,0.0000011076177],"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":[0.0014415798,0.00091412925,0.07552653,0.002009654,0.0033575143,0.000009995744,0.014299302,0.038210906,0.8223986,0.0012789617,0.0024974768,0.038055323],"study_design_scores_gemma":[0.0030059756,0.0007276613,0.8876358,0.00085314235,0.0007846563,0.00003595461,0.00078807416,0.031441536,0.071346775,0.0019591067,0.00038404972,0.0010372571],"about_ca_topic_score_codex":0.00012660294,"about_ca_topic_score_gemma":0.00010628665,"teacher_disagreement_score":0.8121093,"about_ca_system_score_codex":0.00007037697,"about_ca_system_score_gemma":0.000035737023,"threshold_uncertainty_score":0.73112553},"labels":[],"label_agreement":null},{"id":"W2154556722","doi":"10.1088/0967-3334/32/12/001","title":"On the shape of the common carotid artery with implications for blood velocity profiles","year":2011,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":47,"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":"National Institute on Aging; National Institutes of Health","keywords":"Common carotid artery; Curvature; Geometry; RADIUS; Blood flow; Radius of curvature; Aortic arch; Medicine; Mathematics; Lumen (anatomy); Anatomy; Carotid arteries; Cardiology; Internal medicine; Mean curvature flow; Mean curvature; Aorta; Computer science","score_opus":0.14439515862501817,"score_gpt":0.2900689292182087,"score_spread":0.14567377059319053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154556722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961876,0.00011843806,0.00020269884,0.00095723936,0.000029914345,0.001886995,0.000017579689,0.00001940453,0.00058009085],"genre_scores_gemma":[0.99865675,0.000007103393,0.00014098405,0.0005198078,0.0000443492,0.00061629503,0.000006625655,0.0000052018336,0.000002858091],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9992029,0.00010587043,0.00015170725,0.00015312727,0.0002499557,0.00013643924],"domain_scores_gemma":[0.99923366,0.00004295891,0.00007615411,0.000396969,0.00018402014,0.00006624659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035086554,0.000083139945,0.00018145422,0.000009609979,0.0001207033,0.0000022351035,0.0000959941,0.00003121451,0.00003209013],"category_scores_gemma":[0.00013007887,0.000033507797,0.00023516579,0.00007253531,0.00007918223,0.000009890272,0.00002295036,0.000085065716,0.0000023734535],"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":[0.009910943,0.01654962,0.14694571,0.0025609783,0.0041398276,0.0000031314883,0.0009978781,0.000055801218,0.6876905,0.09453074,0.006721103,0.029893745],"study_design_scores_gemma":[0.0007995669,0.00042819988,0.97905844,0.00010055393,0.00028715373,0.000003863298,0.00002379209,0.0000134949,0.013456753,0.0057595647,0.000021346232,0.000047290385],"about_ca_topic_score_codex":0.00001350373,"about_ca_topic_score_gemma":0.0000042580696,"teacher_disagreement_score":0.8321127,"about_ca_system_score_codex":0.000028531056,"about_ca_system_score_gemma":0.00006930534,"threshold_uncertainty_score":0.13664083},"labels":[],"label_agreement":null},{"id":"W2156833299","doi":"10.1088/0967-3334/31/5/n01","title":"The validity of tympanic and exhaled breath temperatures for core temperature measurement","year":2010,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Thermoregulation and physiological responses","field":"Medicine","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":"Brock University; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Core temperature; Core (optical fiber); Medicine; Environmental science; Biomedical engineering; Materials science; Composite material; Anesthesia","score_opus":0.1715338126336923,"score_gpt":0.3302305074393176,"score_spread":0.1586966948056253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156833299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99769014,0.000485992,0.000012934955,0.00050730444,0.00016391129,0.0009873802,0.000018588951,0.000049171787,0.00008459979],"genre_scores_gemma":[0.9989746,0.00007748502,0.00022450511,0.00029341946,0.00022073365,0.00013422512,0.000010129074,0.000012530748,0.00005232315],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99820125,0.0001292929,0.00033245998,0.000343997,0.00071048643,0.00028250448],"domain_scores_gemma":[0.998236,0.00027926132,0.00012992001,0.00037731678,0.0008048532,0.00017264034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013088956,0.00022562438,0.00041860534,0.00002371215,0.00027352432,0.00002540302,0.00014892884,0.00015635048,0.00006061935],"category_scores_gemma":[0.0019896922,0.00010700291,0.00019375356,0.00009807879,0.00029076482,0.000024513787,0.000050093397,0.00033840508,0.0000025509578],"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":[0.0021415232,0.0002362193,0.00029559096,0.000059903497,0.00007909052,9.3130063e-7,0.00002676823,0.0000014888207,0.9904681,0.0022251324,0.00095465814,0.0035106123],"study_design_scores_gemma":[0.0014123499,0.0012672745,0.90979344,0.000074647716,0.000102346145,0.000014502402,0.00005206066,0.000050742972,0.080248855,0.0038728453,0.0029412333,0.00016969],"about_ca_topic_score_codex":0.0000030738129,"about_ca_topic_score_gemma":0.0000071912627,"teacher_disagreement_score":0.91021925,"about_ca_system_score_codex":0.0000437258,"about_ca_system_score_gemma":0.000100178164,"threshold_uncertainty_score":0.43634522},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2270326,0.023798715,0.69348943,0.0024515425,0.0030431484,0.009209416,0.00026178572,0.0020692053,0.03864412],"genre_scores_gemma":[0.9936783,0.00030051643,0.004531536,0.00032997612,0.0008045317,0.00020147554,0.000037969465,0.00003497268,0.00008076194],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9967473,0.00006222948,0.00066977524,0.00056785427,0.00070212357,0.0012506883],"domain_scores_gemma":[0.9987829,0.00016162469,0.000109170156,0.00030578714,0.00035005505,0.00029050355],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011882575,0.00045364024,0.0004864564,0.00011769825,0.0002764219,0.000048957347,0.00027827633,0.00023581898,0.00023616213],"category_scores_gemma":[0.00015688561,0.0003540736,0.00035901502,0.00048517855,0.00008478,0.00006645814,0.00003254658,0.00039000722,0.0001764395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000340358,0.0006667656,0.000038453516,0.00018151534,0.0003591473,0.0000036747224,0.0000614262,0.0013489315,0.9596112,0.003934628,0.0077960673,0.025657883],"study_design_scores_gemma":[0.007605223,0.012796242,0.057529368,0.0005329576,0.0010192659,0.000015421598,0.000245441,0.03967413,0.66398937,0.013175194,0.19906868,0.00434873],"about_ca_topic_score_codex":0.000010670791,"about_ca_topic_score_gemma":0.000020251799,"teacher_disagreement_score":0.76664567,"about_ca_system_score_codex":0.00038651223,"about_ca_system_score_gemma":0.000048074635,"threshold_uncertainty_score":0.9998911},"labels":[],"label_agreement":null},{"id":"W2160347936","doi":"10.1088/0967-3334/33/10/1617","title":"Photoplethysmogram signal quality estimation using repeated Gaussian filters and cross-correlation","year":2012,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":122,"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":"Hirosaki University","keywords":"Pulse oximetry; Photoplethysmogram; SIGNAL (programming language); Pulse (music); Correlation coefficient; Gaussian; Algorithm; Mathematics; Computer science; Artificial intelligence; Computer vision; Statistics; Filter (signal processing); Physics; Telecommunications","score_opus":0.11950038605101088,"score_gpt":0.32040674525320495,"score_spread":0.20090635920219407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160347936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95414406,0.00027712513,0.044547092,0.000004586881,0.0003566568,0.00023946707,0.0000035119438,0.00023897756,0.00018849406],"genre_scores_gemma":[0.9957128,0.000006602295,0.004008777,0.0000134935335,0.00020062568,0.000029626006,0.000008678547,0.000018156585,0.0000012498265],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99868804,0.00009629088,0.0002967333,0.00019665169,0.00036292383,0.0003593809],"domain_scores_gemma":[0.9995263,0.000047221485,0.00006335467,0.00014713361,0.000073286465,0.00014268143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060225354,0.00018945656,0.00019490729,0.00004016101,0.00011886816,0.000050054274,0.000066699664,0.00009938127,0.000035373174],"category_scores_gemma":[0.000119034885,0.00016205132,0.000055797755,0.00013144076,0.000060280076,0.000311058,0.000035793844,0.00016866782,0.00001534052],"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":[0.000016048447,0.000046988174,0.023343788,0.00005426599,0.00002726649,5.3876227e-7,0.00009768371,0.035042346,0.9375796,0.00004608567,0.000011881834,0.0037335542],"study_design_scores_gemma":[0.0005759581,0.00011009899,0.6950222,0.00011789417,0.000039423718,0.0000061517353,0.000054460754,0.04754283,0.25505257,0.00090290507,0.00002652763,0.00054896716],"about_ca_topic_score_codex":0.000034843437,"about_ca_topic_score_gemma":7.156692e-7,"teacher_disagreement_score":0.682527,"about_ca_system_score_codex":0.00026133654,"about_ca_system_score_gemma":0.0000063145535,"threshold_uncertainty_score":0.6608261},"labels":[],"label_agreement":null},{"id":"W2161559055","doi":"10.1088/0967-3334/36/5/983","title":"Preprocessing and parameterizing bioimpedance spectroscopy measurements by singular value decomposition","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Parameterized complexity; Singular value decomposition; Standard deviation; Preprocessor; Mathematics; Statistics; Algorithm; Computer science; Artificial intelligence","score_opus":0.1749492333857401,"score_gpt":0.36119739667074474,"score_spread":0.18624816328500465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161559055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96100104,0.0027618848,0.032323334,0.0007622406,0.0001306817,0.0010482536,0.0000045360416,0.0005825711,0.0013854346],"genre_scores_gemma":[0.95656145,0.00003990719,0.042341743,0.0007908151,0.00012315999,0.00008298467,0.00002443336,0.000029631912,0.000005887906],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966539,0.00024627143,0.00047019712,0.0007097562,0.0014720162,0.00044781767],"domain_scores_gemma":[0.9984966,0.00001779994,0.00019093897,0.00031031983,0.00057320244,0.0004111766],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015485174,0.0003386755,0.0005106978,0.0000804758,0.00016981795,0.00008727553,0.00013685494,0.00013031621,0.000013623509],"category_scores_gemma":[0.00031178072,0.00027825267,0.000093680675,0.00019965795,0.00015484427,0.00018166043,0.000085956526,0.00026302636,0.000017401431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029934206,0.00045417703,0.0024625114,0.00007555593,0.00007019871,0.0000063671455,0.000048136844,0.000007773844,0.9929991,0.00003500376,0.0018629303,0.001678904],"study_design_scores_gemma":[0.0019173173,0.0016802001,0.016565079,0.0006074403,0.00016777925,0.000059149545,0.000032738026,0.000546746,0.97446674,0.003107315,0.00042286268,0.0004266173],"about_ca_topic_score_codex":0.000019047779,"about_ca_topic_score_gemma":6.1048604e-7,"teacher_disagreement_score":0.018532343,"about_ca_system_score_codex":0.00059584586,"about_ca_system_score_gemma":0.000101293976,"threshold_uncertainty_score":0.999967},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8778613,0.0047068386,0.11267537,0.00032650496,0.0008035886,0.0014081665,0.000024166668,0.00097113923,0.0012228813],"genre_scores_gemma":[0.9690464,0.000038593957,0.030353501,0.00005620238,0.00018803311,0.00029158633,0.000007182061,0.000017070523,0.0000014383332],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983083,0.000065219494,0.00041062845,0.00032019537,0.00034841642,0.00054726907],"domain_scores_gemma":[0.99932516,0.00008181792,0.000048868907,0.00018403851,0.00015372393,0.00020637456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003936623,0.00023131877,0.00041321432,0.00015271491,0.000051734154,0.000028788509,0.00020154398,0.00015827974,0.000010606631],"category_scores_gemma":[0.00021827775,0.00018090689,0.00019765287,0.0009544781,0.000081040125,0.00008429622,0.000019037228,0.00040440788,0.000014348322],"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":[0.0017160346,0.004744834,0.18304895,0.00054085493,0.0007090188,0.000028561917,0.00074532774,0.008632689,0.44828233,0.034885153,0.06297247,0.2536938],"study_design_scores_gemma":[0.0056081982,0.005269348,0.17782521,0.0003986844,0.00014789101,0.000027861546,0.00034755925,0.12512793,0.06062476,0.6115244,0.009943573,0.0031546017],"about_ca_topic_score_codex":0.00000890757,"about_ca_topic_score_gemma":0.000012286168,"teacher_disagreement_score":0.57663924,"about_ca_system_score_codex":0.0001614665,"about_ca_system_score_gemma":0.000028614271,"threshold_uncertainty_score":0.73771685},"labels":[],"label_agreement":null},{"id":"W2277970939","doi":"10.1088/0967-3334/37/3/442","title":"Wavelet-based algorithm for auto-detection of daily living activities of older adults captured by multiple inertial measurement units (IMUs)","year":2016,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Non-Invasive Vital Sign Monitoring","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":"Université de Sherbrooke; Université du Québec à Montréal","funders":"","keywords":"Inertial measurement unit; Artificial intelligence; Computer science; Computer vision; Discrete wavelet transform; Activities of daily living; Wavelet; Segmentation; Accelerometer; Units of measurement; Wavelet transform; Medicine","score_opus":0.036011426495896226,"score_gpt":0.20948764029879818,"score_spread":0.17347621380290196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2277970939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51510537,0.0006741386,0.48202056,0.000017736877,0.0007284606,0.001071128,0.00013212908,0.00022361519,0.000026870019],"genre_scores_gemma":[0.9972767,0.000017642958,0.0021258623,0.000008783746,0.00022220309,0.00029621943,0.000004743435,0.00004527174,0.0000025675618],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976912,0.00011199965,0.00051097997,0.0003555139,0.0009005595,0.0004297183],"domain_scores_gemma":[0.998498,0.0002620423,0.00017291996,0.00027030922,0.0006879575,0.000108745146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049083465,0.0003308293,0.00047154172,0.00009422797,0.00006586033,0.000009653492,0.00020981077,0.000153465,0.000014272334],"category_scores_gemma":[0.0005939375,0.00023367221,0.00015811795,0.00019740895,0.00008757612,0.00013041426,0.00004486785,0.0001234489,0.000002017908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000880472,0.00017643785,0.0000471012,0.00021670942,0.000100011785,2.9116893e-7,0.00011667622,0.0001787738,0.8877192,0.0000012566884,0.00010879127,0.111246705],"study_design_scores_gemma":[0.0016599554,0.00045022636,0.0061507057,0.00086168887,0.00003486459,2.7392724e-7,0.000111663416,0.0049399184,0.98541766,0.00002220539,0.000041505333,0.00030930393],"about_ca_topic_score_codex":0.0000604521,"about_ca_topic_score_gemma":0.000014278627,"teacher_disagreement_score":0.48217133,"about_ca_system_score_codex":0.00047269877,"about_ca_system_score_gemma":0.000046554374,"threshold_uncertainty_score":0.9528876},"labels":[],"label_agreement":null},{"id":"W2298363644","doi":"10.1088/0967-3334/37/3/429","title":"Modeling elemental strontium in human bone based on <i>in vivo</i> x-ray fluorescence measurements in osteoporotic females self-supplementing with strontium citrate.","year":2016,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Osteopenia; Strontium; Osteoporosis; Ankle; Nuclear medicine; In vivo; Mathematics; Medicine; Chemistry; Bone mineral; Internal medicine; Surgery; Biology","score_opus":0.10980859483697443,"score_gpt":0.32443952280296223,"score_spread":0.21463092796598782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2298363644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953399,0.00012173084,0.00029704912,0.0010953004,0.00006194529,0.0025326384,0.000014167877,0.00007473816,0.00046258795],"genre_scores_gemma":[0.99729526,0.000022734639,0.001715539,0.00029982283,0.00008617135,0.00050168997,0.00001971036,0.000042195414,0.00001687298],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9935202,0.0004804825,0.0011445222,0.0010371055,0.0022712003,0.0015464913],"domain_scores_gemma":[0.9986364,0.000057632355,0.00016035653,0.0005134719,0.00025790176,0.0003742359],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028758887,0.00048324774,0.0008522376,0.0004064176,0.00013373516,0.00003184995,0.0002591489,0.00015472219,0.00025430357],"category_scores_gemma":[0.00015829754,0.00030424265,0.00011469778,0.00047275028,0.000094785115,0.00016035837,0.00008704689,0.0005851981,0.000016219281],"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":[0.0025557925,0.0040361006,0.27168941,0.00045431283,0.000038333685,0.000097020704,0.00012010992,0.0060716593,0.713754,0.00004558744,0.000091745555,0.0010459565],"study_design_scores_gemma":[0.04148342,0.009384953,0.8325879,0.007049387,0.00008158017,0.00000709802,0.0010118115,0.0557229,0.05119499,0.00010479593,0.000067698835,0.0013034554],"about_ca_topic_score_codex":0.00048628967,"about_ca_topic_score_gemma":0.002040746,"teacher_disagreement_score":0.662559,"about_ca_system_score_codex":0.0016500418,"about_ca_system_score_gemma":0.00035163885,"threshold_uncertainty_score":0.999941},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97948295,0.012289095,0.006981214,0.00008859253,0.00012727642,0.00024438542,0.0000016105764,0.00021079133,0.00057408237],"genre_scores_gemma":[0.9987118,0.00019112213,0.0007930896,0.00016037161,0.000083696854,0.00004260068,0.0000016807352,0.000013808202,0.0000017839113],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998704,0.00003695304,0.00026345742,0.0002611339,0.00035220085,0.00038226586],"domain_scores_gemma":[0.99965835,0.000012832545,0.000023714076,0.0001049028,0.00005936907,0.00014082223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041315056,0.00018621188,0.00022448403,0.00007427056,0.000044324108,0.000053639196,0.00010398956,0.000044062013,0.0000132632495],"category_scores_gemma":[0.00001739653,0.00014352158,0.0000521295,0.00023057003,0.0000407686,0.00012123981,0.00003982322,0.00020367138,0.000005830257],"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":[0.00014815986,0.00046173396,0.016265873,0.00035099578,0.00011060377,0.00006244459,0.0006274105,0.13989039,0.5901476,0.00035529252,0.0012001669,0.25037932],"study_design_scores_gemma":[0.00068348885,0.00010439683,0.026905715,0.00012292576,0.0000150683445,0.0000023944797,0.000060035785,0.96115774,0.0038915023,0.0062779267,0.00038867482,0.0003901273],"about_ca_topic_score_codex":0.000014168705,"about_ca_topic_score_gemma":0.0000035924177,"teacher_disagreement_score":0.82126737,"about_ca_system_score_codex":0.00016065114,"about_ca_system_score_gemma":0.000012652497,"threshold_uncertainty_score":0.585264},"labels":[],"label_agreement":null},{"id":"W2396664788","doi":"10.1088/0967-3334/37/6/713","title":"Non-invasive monitoring of pulmonary artery pressure from timing information by EIT: experimental evaluation during induced hypoxia","year":2016,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","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":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Medicine; Hypoxia (environmental); Pulmonary artery; Electrical impedance tomography; Doppler effect; Cardiology; Internal medicine; Radiology; Pulse oximetry; Tomography; Anesthesia; Physics","score_opus":0.08854225421888748,"score_gpt":0.3022207186073567,"score_spread":0.21367846438846924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2396664788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983543,0.00035875628,0.0001286409,0.00006823972,0.00032364024,0.00051751634,0.000012651844,0.00004778643,0.00018845752],"genre_scores_gemma":[0.9993149,0.00003369447,0.00014030651,0.000014397852,0.00032403905,0.0001350887,0.000018659524,0.000010250064,0.000008687851],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982281,0.000077621095,0.00036785012,0.00023160591,0.0008754731,0.00021939295],"domain_scores_gemma":[0.9991781,0.000042285108,0.00017114104,0.00025043415,0.00025489222,0.000103163715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032333756,0.00017542679,0.00028621548,0.000048540667,0.00007140702,0.000009330216,0.00009119286,0.000113131406,0.0000662228],"category_scores_gemma":[0.00011801141,0.00011213816,0.00008581478,0.000062268104,0.00003174798,0.000232492,0.000038330825,0.000110354405,0.000020627907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026224524,0.00021921143,0.0049927533,0.000038276252,0.00011767288,0.0000012804798,0.00023736976,0.000017852177,0.9790722,8.8946206e-7,0.000021701677,0.015018514],"study_design_scores_gemma":[0.0012767303,0.00020275978,0.2607539,0.00045692845,0.000049779792,0.0000018645644,0.00017283163,0.00033720222,0.73657525,0.000048287067,0.0000143555335,0.00011008462],"about_ca_topic_score_codex":0.000032059612,"about_ca_topic_score_gemma":7.4687094e-8,"teacher_disagreement_score":0.25576115,"about_ca_system_score_codex":0.0002497918,"about_ca_system_score_gemma":0.000054716107,"threshold_uncertainty_score":0.45728612},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96108353,0.003910715,0.01392442,0.0018213444,0.0011673666,0.0011742976,0.00005725826,0.0011395359,0.015721519],"genre_scores_gemma":[0.99521786,0.00083310454,0.0032514676,0.00007093633,0.00046661287,0.000061689905,0.0000016597568,0.000030569397,0.0000660773],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975321,0.00012330397,0.00037888438,0.0005809314,0.00065516995,0.00072960486],"domain_scores_gemma":[0.9990281,0.00005147048,0.00009953464,0.00033837213,0.00025312215,0.00022941621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031638044,0.0004220778,0.00044125572,0.000083236926,0.00012754528,0.000037561855,0.00023186576,0.00017736341,0.00066261704],"category_scores_gemma":[0.00007081623,0.00020502883,0.00018732483,0.00042498324,0.0002456785,0.00017934144,0.00004330774,0.0002765629,0.0007721527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016424783,0.0001658717,0.0005254678,0.00008437548,0.00019796102,0.00001104508,0.000011953899,0.000026525093,0.7760245,0.00018319624,0.0008303813,0.22177447],"study_design_scores_gemma":[0.011888685,0.015194828,0.30953348,0.0060847066,0.0010828773,0.00029669126,0.000115352836,0.003677435,0.60834926,0.01971579,0.017275633,0.006785231],"about_ca_topic_score_codex":0.000012580985,"about_ca_topic_score_gemma":0.000006166855,"teacher_disagreement_score":0.309008,"about_ca_system_score_codex":0.00025106914,"about_ca_system_score_gemma":0.000030518415,"threshold_uncertainty_score":0.9924718},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907287,0.00085438613,0.007759126,0.000045157638,0.000066597044,0.00034763996,0.000004027443,0.000140369,0.000054006014],"genre_scores_gemma":[0.99908197,0.0003355587,0.00032931354,0.000046521178,0.0001137129,0.00007183015,0.0000072799994,0.000012943719,8.6784854e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99840313,0.00012650453,0.00027038428,0.000313618,0.000461847,0.0004245322],"domain_scores_gemma":[0.9996254,0.000037892994,0.000042314907,0.000120760975,0.00009357733,0.00008006639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004720789,0.00019671266,0.00023252131,0.00015517928,0.000045466873,0.000017289272,0.00009238462,0.00007935289,0.000021666183],"category_scores_gemma":[0.000053234064,0.00012246576,0.000054219894,0.0005748501,0.00004173589,0.00012617996,0.000014865161,0.00013138849,0.0000047851263],"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":[0.000032770986,0.0000489142,0.0041677807,0.000010884136,0.000016253074,8.5321835e-7,0.000008776488,0.00011343079,0.88004047,0.00007348151,0.000008219142,0.115478195],"study_design_scores_gemma":[0.002668449,0.000629499,0.6896785,0.00021571759,0.00007574637,0.00001447979,0.0000037126233,0.17739014,0.12327542,0.0049390863,0.00023919252,0.0008700928],"about_ca_topic_score_codex":0.000006187784,"about_ca_topic_score_gemma":0.000007752209,"teacher_disagreement_score":0.756765,"about_ca_system_score_codex":0.00018295723,"about_ca_system_score_gemma":0.000017759796,"threshold_uncertainty_score":0.49940085},"labels":[],"label_agreement":null},{"id":"W2407759349","doi":"10.1088/0967-3334/36/12/2443","title":"Evaluation of a novel portable x-ray fluorescence screening tool for detection of arsenic exposure","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Mount Allison University; University of Prince Edward Island","funders":"Canadian Institutes of Health Research; Health Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; U.S. Department of Health and Human Services","keywords":"Arsenic; Inductively coupled plasma mass spectrometry; Analytical Chemistry (journal); Concordance correlation coefficient; Concordance; Mass spectrometry; Kappa; Chemistry; Coefficient of variation; Chromatography; Nuclear medicine; Medicine; Mathematics; Internal medicine","score_opus":0.27179424962978793,"score_gpt":0.31175477938811985,"score_spread":0.03996052975833192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2407759349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9618954,0.00007739147,0.036927138,0.000016622918,0.00009130534,0.000682386,0.000006984017,0.000016397455,0.00028637695],"genre_scores_gemma":[0.99288416,0.0000015369525,0.006952897,0.000018065271,0.00003664157,0.00009310886,0.000002669513,0.0000056924055,0.0000052426153],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974167,0.000171807,0.00037913807,0.00026824602,0.0015638088,0.00020030403],"domain_scores_gemma":[0.99917597,0.00003217267,0.00020446927,0.00021009675,0.00029744222,0.00007985648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004993009,0.00011607959,0.00023836216,0.00001868235,0.000044218905,0.000004393845,0.00014099637,0.000070886046,0.000059735197],"category_scores_gemma":[0.0010901499,0.000087075285,0.00010330237,0.00016404624,0.000094148,0.00011921337,0.000060366245,0.00006612854,0.0000073347496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007974855,0.00033261717,0.00095818663,0.00001101103,0.00002106653,5.5720584e-8,0.000051964562,0.00954344,0.95714307,0.000012520596,0.000042893567,0.03180342],"study_design_scores_gemma":[0.0019926007,0.0013944097,0.19856647,0.000037181657,0.00014296641,9.352526e-7,0.00007573806,0.028438292,0.7678023,0.0011968334,0.00015114697,0.00020111179],"about_ca_topic_score_codex":0.000085097236,"about_ca_topic_score_gemma":0.000017933024,"teacher_disagreement_score":0.19760828,"about_ca_system_score_codex":0.00015816743,"about_ca_system_score_gemma":0.00003642004,"threshold_uncertainty_score":0.35508272},"labels":[],"label_agreement":null},{"id":"W2411081027","doi":"10.1088/0967-3334/37/2/187","title":"Evaluation of cardiac modulation in children in response to apnea/hypopnea using the Phone Oximeter<sup>™</sup>","year":2016,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; BC Children's Hospital; California HIV/AIDS Research Program","keywords":"Photoplethysmogram; Polysomnography; Medicine; Heart rate variability; Cardiology; Detrended fluctuation analysis; Heart rate; Apnea; Internal medicine; Hypopnea; Sleep apnea; Pulse (music); Spectral analysis; Anesthesia; Blood pressure; Mathematics","score_opus":0.1497595262607154,"score_gpt":0.35363387875650876,"score_spread":0.20387435249579336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2411081027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99672776,0.00015563307,0.00039836727,0.00070296647,0.00003724663,0.00191923,0.000008139007,0.000012424158,0.00003824907],"genre_scores_gemma":[0.9992838,0.000004855385,0.00042362307,0.000048134647,0.000083254316,0.00013818013,0.000002979564,0.000012861693,0.0000023254345],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99462306,0.0021249861,0.00041795478,0.00039110318,0.002106471,0.0003363967],"domain_scores_gemma":[0.9985791,0.0001626943,0.000079546706,0.0004188527,0.0006693773,0.000090442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008222708,0.0001548506,0.00036410062,0.00021319928,0.000038256432,0.0000065263,0.00014466731,0.00008331266,0.00008422044],"category_scores_gemma":[0.0032576886,0.00008169118,0.00009806476,0.0005107153,0.00010098115,0.00006979961,0.000103938684,0.0001606287,0.000022373031],"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":[0.0013943587,0.0002348277,0.02660085,0.000005838129,0.000068879344,4.694169e-7,0.00018297971,0.0036704997,0.8995238,0.000006929647,0.0000072161088,0.06830335],"study_design_scores_gemma":[0.0018933697,0.0003447478,0.9317288,0.00008841177,0.00006107031,0.0000015857112,0.00008470234,0.018919181,0.046277408,0.0004938735,0.0000039757097,0.00010289233],"about_ca_topic_score_codex":0.000103448314,"about_ca_topic_score_gemma":0.000004538962,"teacher_disagreement_score":0.90512794,"about_ca_system_score_codex":0.0011289205,"about_ca_system_score_gemma":0.00008921115,"threshold_uncertainty_score":0.3899993},"labels":[],"label_agreement":null},{"id":"W2415030614","doi":"10.1088/0967-3334/36/12/2471","title":"Catheter-based acoustic interrogation device for real-time monitoring of the dynamics of the lower esophageal sphincter:<i>in vitro</i>and pilot canine studies","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Gastroesophageal reflux and treatments","field":"Medicine","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 Alberta; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Tianjin University; Tianjin Medical University; University of Alberta","keywords":"Microphone; GERD; Acoustics; Closing (real estate); Esophageal sphincter; Sound (geography); Endoscope; Biomedical engineering; Simulation; Computer science; Reflux; Medicine; Surgery; Physics; Sound pressure; Internal medicine","score_opus":0.1291014650444928,"score_gpt":0.32570072872245887,"score_spread":0.19659926367796607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2415030614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99874187,0.0001308642,0.00003924601,0.00017731715,0.00018252764,0.00067526806,0.000016572705,0.0000100211755,0.000026340467],"genre_scores_gemma":[0.99940413,0.0000057613966,0.00040820817,0.000028560687,0.000046431982,0.000072340285,0.0000042542797,0.000009345109,0.000020940219],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988239,0.00009323759,0.00028592415,0.00018336419,0.0004460054,0.00016760272],"domain_scores_gemma":[0.9990789,0.000073665586,0.00016061362,0.00022473422,0.000405622,0.000056439243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040286148,0.00014587141,0.00034745535,0.00002293105,0.000039569593,0.0000029095713,0.00010785137,0.0000340176,0.0000015009997],"category_scores_gemma":[0.00032398035,0.00006845578,0.000097085096,0.00009787818,0.000119481745,0.000020362575,0.00007052145,0.00008710398,6.554513e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002216922,0.003097248,0.06440962,0.0004442566,0.0003608482,0.000008211096,0.0005110397,0.0012695292,0.9265177,0.0000225249,0.000022601324,0.0011195039],"study_design_scores_gemma":[0.005237998,0.006560465,0.77697265,0.0005246385,0.00042110437,0.0000029190114,0.00025704113,0.0032557633,0.20632453,0.00035257725,8.4157506e-7,0.00008947284],"about_ca_topic_score_codex":0.000057141136,"about_ca_topic_score_gemma":0.000018469182,"teacher_disagreement_score":0.72019315,"about_ca_system_score_codex":0.0004739704,"about_ca_system_score_gemma":0.00010942885,"threshold_uncertainty_score":0.27915457},"labels":[],"label_agreement":null},{"id":"W2416831605","doi":"10.1088/0967-3334/37/1/145","title":"Feasibility of measuring arsenic and selenium in human skin using <i>in vivo</i> x-ray fluorescence (XRF)—a comparison of methods","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","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":"Mount Allison University; Toronto Metropolitan University; University of Guelph; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Arsenic; Selenium; Detection limit; Radiochemistry; X-ray fluorescence; In vivo; Chemistry; Materials science; Analytical Chemistry (journal); Fluorescence; Optics; Environmental chemistry; Chromatography; Physics; Metallurgy","score_opus":0.2357129780499787,"score_gpt":0.4065558458791121,"score_spread":0.17084286782913338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2416831605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954722,0.00027793285,0.003651452,0.000010680539,0.00003656381,0.00028360024,0.000005235164,0.000008671386,0.0002537002],"genre_scores_gemma":[0.9895147,0.000003487328,0.010406052,0.0000045097922,0.000046363868,0.0000135578575,0.0000020702093,0.000008011635,0.0000012374387],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974662,0.000545882,0.00076120225,0.00045171057,0.00043403814,0.0003409334],"domain_scores_gemma":[0.99902064,0.00005309062,0.00029223703,0.00031892446,0.00020139974,0.000113717906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019492559,0.00022181025,0.0008227532,0.000112006936,0.0000459253,0.000011574134,0.00022785646,0.00006495959,0.00003625414],"category_scores_gemma":[0.00006500328,0.0001833149,0.00013893557,0.00041830097,0.00018627592,0.000104915,0.00010914199,0.00026221792,6.234158e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060859977,0.00066695485,0.28191707,0.000029623947,0.000029193088,1.8207623e-7,0.0002958413,0.002058949,0.71392506,0.00037668276,0.00000695155,0.00063265127],"study_design_scores_gemma":[0.0014079094,0.00030554677,0.23026729,0.0002196972,0.00008112308,1.3829994e-7,0.0014141687,0.011770138,0.74852633,0.0056654266,0.0000053581093,0.00033684273],"about_ca_topic_score_codex":0.00092078984,"about_ca_topic_score_gemma":0.000051336407,"teacher_disagreement_score":0.05164978,"about_ca_system_score_codex":0.00013784005,"about_ca_system_score_gemma":0.0000683353,"threshold_uncertainty_score":0.7475365},"labels":[],"label_agreement":null},{"id":"W2418132393","doi":"10.1088/0967-3334/36/12/2537","title":"Comment on: ‘Resting mechanomyographic amplitude for the erector spinae and trapezius muscles following resistance exercise in a healthy population’","year":2015,"lang":"en","type":"letter","venue":"Physiological Measurement","topic":"Muscle activation and electromyography studies","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":"Royal University Hospital","funders":"","keywords":"Physical medicine and rehabilitation; Medicine; Population; Physical therapy","score_opus":0.09896872398208766,"score_gpt":0.273782130232243,"score_spread":0.17481340625015535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2418132393","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050301496,0.041482914,0.0029964286,0.89027876,0.0027707138,0.010495197,0.000100940546,0.0012031649,0.00037040657],"genre_scores_gemma":[0.93346566,0.0007946326,0.0005639623,0.062513635,0.0005124451,0.0020353342,0.000053908756,0.000056901463,0.0000035263865],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978435,0.00011132684,0.00044342512,0.0004648463,0.0005804961,0.00055641483],"domain_scores_gemma":[0.9991348,0.00029983616,0.00010743353,0.00030228074,0.00009048442,0.00006521196],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006532898,0.00042001615,0.00059882546,0.00017703288,0.000249296,0.000054362452,0.00022046901,0.00023396267,0.0000027468632],"category_scores_gemma":[0.000122273,0.00029172815,0.00022748922,0.00030269712,0.000037600166,0.000045083463,0.000033929646,0.000740738,3.8937242e-7],"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":[0.0005588587,0.00024403837,0.0002868307,0.0018814524,0.00075343857,0.000017674976,0.00034560944,0.0009497839,0.0008893646,0.0003851091,0.9520675,0.041620355],"study_design_scores_gemma":[0.005573099,0.0020251737,0.21648593,0.005000108,0.00050810643,0.0000018962019,0.00032911918,0.0014364091,0.00012417661,0.027801132,0.7377439,0.0029709386],"about_ca_topic_score_codex":0.000055911747,"about_ca_topic_score_gemma":0.000071600894,"teacher_disagreement_score":0.88316417,"about_ca_system_score_codex":0.00027160498,"about_ca_system_score_gemma":0.000015689388,"threshold_uncertainty_score":0.9999535},"labels":[],"label_agreement":null},{"id":"W2473968423","doi":"10.1088/0967-3334/36/11/2217","title":"Feasibility of measuring selenium in humans using<i>in vivo</i>neutron activation analysis","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Selenium; Neutron activation analysis; Radiochemistry; In vivo; Irradiation; Neutron; Chemistry; Calcium; Neutron activation; Isotopes of calcium; Nuclear medicine; Physics; Biology; Nuclear physics; Medicine","score_opus":0.24194441044127438,"score_gpt":0.32714229787424604,"score_spread":0.08519788743297166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2473968423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973049,0.000009748325,0.0012531766,0.000045364824,0.00001748,0.00028235657,0.000009183934,0.000011210756,0.0010665682],"genre_scores_gemma":[0.9995871,4.946695e-7,0.00028179502,0.000013725883,0.00006408779,0.000035982182,0.0000071195927,0.000007236236,0.0000024643598],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986589,0.00011305482,0.00034308055,0.0003177126,0.00035564922,0.0002115889],"domain_scores_gemma":[0.99931765,0.000015734551,0.00014407306,0.00027653654,0.00017667617,0.00006930611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005243743,0.00013457259,0.00033996732,0.000097052536,0.000032283126,0.000010870699,0.00014997766,0.000032466094,0.00005239689],"category_scores_gemma":[0.000010953369,0.000116726624,0.00013593711,0.00067673426,0.000039480514,0.00008325283,0.000052700387,0.00013577293,0.000003234761],"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":[0.000048428712,0.0013021273,0.20384718,0.000012295319,0.000092755006,8.082258e-8,0.00018115612,0.02246301,0.76764596,0.0041026263,0.000041945314,0.00026245962],"study_design_scores_gemma":[0.0013660715,0.00009898705,0.8985583,0.000055819586,0.00012528717,2.1229047e-8,0.00047744537,0.0062319324,0.06863616,0.024018072,0.00007995564,0.00035190568],"about_ca_topic_score_codex":0.00067270186,"about_ca_topic_score_gemma":0.000039056184,"teacher_disagreement_score":0.6990098,"about_ca_system_score_codex":0.00019645537,"about_ca_system_score_gemma":0.00004082545,"threshold_uncertainty_score":0.47599736},"labels":[],"label_agreement":null},{"id":"W2516553530","doi":"10.1088/0967-3334/37/9/1588","title":"Accurate and consistent automatic seismocardiogram annotation without concurrent ECG","year":2016,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Non-Invasive Vital Sign Monitoring","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":"Simon Fraser University","funders":"Canadian Institutes of Health Research","keywords":"Fiducial marker; Confidence interval; Consistency (knowledge bases); RR interval; QT interval; Electrocardiography; Mathematics; Algorithm; Blood pressure; Medicine; Cardiology; Internal medicine; Heart rate; Computer science; Statistics; Heart rate variability; Artificial intelligence","score_opus":0.069847826871722,"score_gpt":0.2519431789731304,"score_spread":0.1820953521014084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2516553530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.952464,0.00092273444,0.043865804,0.00012723551,0.00088315207,0.00059184677,0.000013168563,0.0007042383,0.0004278658],"genre_scores_gemma":[0.9990892,0.00009946536,0.00052098325,0.000028436194,0.00012483634,0.00011337152,0.0000020626574,0.000018329687,0.000003357702],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987572,0.00007768929,0.00025142686,0.00025279223,0.00036275975,0.00029815672],"domain_scores_gemma":[0.9994833,0.00006523444,0.000045172183,0.00016303574,0.00011087472,0.00013236968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024194352,0.00021339174,0.00026907955,0.000039142575,0.000060132024,0.000032753404,0.00009057155,0.00005884624,0.000018058981],"category_scores_gemma":[0.000114014874,0.00012988286,0.000073815085,0.00008473563,0.000083083716,0.000111557056,0.000046409117,0.00008394414,0.00006172602],"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":[0.000006263251,0.000039972496,0.002865442,0.00009296183,0.00011876912,0.0000039780016,0.00003783272,0.00036758013,0.8812228,0.00009432159,0.00033718356,0.11481289],"study_design_scores_gemma":[0.0059622815,0.0013936054,0.5720191,0.0020561249,0.0003163233,0.00004362059,0.00022748654,0.019096574,0.38570914,0.0074885655,0.0030735964,0.0026135764],"about_ca_topic_score_codex":0.0000024916906,"about_ca_topic_score_gemma":6.661895e-7,"teacher_disagreement_score":0.56915367,"about_ca_system_score_codex":0.00018364802,"about_ca_system_score_gemma":0.000010517547,"threshold_uncertainty_score":0.52964693},"labels":[],"label_agreement":null},{"id":"W2528326616","doi":"10.1088/0967-3334/37/11/n76","title":"<i>In vivo</i>neutron activation study of the short-term kinetic behaviour of sodium and chlorine in the human hand","year":2016,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Radioactivity and Radon Measurements","field":"Health Professions","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":"Ontario Power Generation; Canadian Nuclear Laboratories; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Nuclear Laboratories","keywords":"Chlorine; Sodium; Chemistry; Irradiation; Neutron activation analysis; Radiochemistry; In vivo; Redistribution (election); Neutron; Half-life; Nuclear chemistry; Medicine; Nuclear physics; Physics; Internal medicine; Pharmacokinetics; Organic chemistry","score_opus":0.19606909769166367,"score_gpt":0.38766189649775906,"score_spread":0.1915927988060954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528326616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99748665,0.000022762822,0.000004187353,0.00068300485,0.00013312907,0.0015464828,0.0000033152533,0.0000051001243,0.000115364695],"genre_scores_gemma":[0.9995801,0.000014113394,0.0000025114778,0.00010697371,0.00006707734,0.00020728692,2.935898e-7,0.0000064868154,0.000015194306],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9971658,0.0011603276,0.0005120441,0.00024936826,0.0006516019,0.00026083898],"domain_scores_gemma":[0.9991662,0.00014859196,0.00020444886,0.00034226148,0.00010764839,0.00003086359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015426964,0.00014045309,0.00031254409,0.00005313889,0.0002191244,0.0000031623977,0.00026074424,0.0000842278,0.000036833553],"category_scores_gemma":[0.00011259315,0.0000578711,0.00004411046,0.0001617429,0.00013016757,0.000076422584,0.00009035214,0.00029521057,8.317209e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000817474,0.0011865643,0.2955829,0.000039971244,0.00001003362,4.459676e-7,0.0012040226,0.0000022106212,0.70162517,0.00003974592,0.00007830754,0.00014891227],"study_design_scores_gemma":[0.0017331685,0.00049604365,0.9617768,0.0002835353,0.000020493182,1.791167e-7,0.0009235507,0.0000010913094,0.03449242,0.00017735297,0.000023442466,0.0000719092],"about_ca_topic_score_codex":0.0003117809,"about_ca_topic_score_gemma":0.00056166505,"teacher_disagreement_score":0.66713274,"about_ca_system_score_codex":0.00012546836,"about_ca_system_score_gemma":0.000026077321,"threshold_uncertainty_score":0.2359915},"labels":[],"label_agreement":null},{"id":"W2564119502","doi":"10.1088/1361-6579/38/2/116","title":"Improved spectrum analysis in EEG for measure of depth of anesthesia based on phase-rectified signal averaging","year":2016,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":15,"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":"Atomic Energy of Canada Limited; Ministry of Science and Technology, Taiwan; National Natural Science Foundation of China","keywords":"Electroencephalography; Anesthetic; Receiver operating characteristic; Pattern recognition (psychology); Bispectral index; Hilbert–Huang transform; Spectral density; Artificial intelligence; Computer science; Mathematics; Anesthesia; Statistics; Medicine; Energy (signal processing)","score_opus":0.09589530819221852,"score_gpt":0.2971239488349079,"score_spread":0.20122864064268936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564119502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9734481,0.000013687306,0.025402851,0.00045398076,0.000047975693,0.00046790714,0.000012363397,0.000034954053,0.000118153126],"genre_scores_gemma":[0.9994684,0.0000015462323,0.0002813406,0.00015675862,0.000028190485,0.00004899471,8.655543e-7,0.0000091738775,0.0000047140657],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99767244,0.00035841003,0.00045502465,0.0005401792,0.00065610034,0.00031782757],"domain_scores_gemma":[0.99882865,0.0004333022,0.00024263233,0.0002917982,0.00014055322,0.00006305995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010091478,0.00020015168,0.0005193303,0.00021322285,0.000041071784,0.000010059105,0.00033340816,0.00006491241,0.000050489798],"category_scores_gemma":[0.00040594692,0.00011459427,0.0002942882,0.000459498,0.00010290786,0.000051318693,0.000023448412,0.0000886586,0.0000016992379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064177316,0.00085651124,0.00028621475,0.000025328705,0.000042169064,0.0000026222253,0.00003250202,0.00213178,0.98998916,0.00009059424,0.000019790326,0.0058815465],"study_design_scores_gemma":[0.0022106268,0.0013738824,0.00859574,0.00010876533,0.00007364647,8.061921e-7,0.000007617448,0.029991223,0.95695215,0.00051909627,0.000010271096,0.0001561761],"about_ca_topic_score_codex":0.00001386894,"about_ca_topic_score_gemma":0.000013599461,"teacher_disagreement_score":0.033037018,"about_ca_system_score_codex":0.00010142286,"about_ca_system_score_gemma":0.000048192276,"threshold_uncertainty_score":0.46730188},"labels":[],"label_agreement":null},{"id":"W2570057164","doi":"10.1088/1361-6579/aa57b4","title":"Estimation of the QT-RR relation: trade-off between goodness-of-fit and extrapolation accuracy","year":2017,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","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":"Hôpital du Sacré-Cœur de Montréal; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; QT interval; Statistics; Extrapolation; Mean squared error; Goodness of fit; Heart rate; Electrocardiography; Confidence interval; Cardiology; Medicine; Internal medicine; Blood pressure","score_opus":0.1291488308159611,"score_gpt":0.3347797772826258,"score_spread":0.20563094646666472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2570057164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99733704,0.00035825255,0.00016152898,0.0012431253,0.000091076974,0.00036102626,0.000004339702,0.000013452595,0.00043014967],"genre_scores_gemma":[0.99954045,0.000056957106,0.00016927402,0.000037484882,0.00016291832,0.000012876621,0.0000066414036,0.00000507956,0.000008313048],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990184,0.000099154,0.00027574188,0.00018541756,0.00029707965,0.00012425576],"domain_scores_gemma":[0.9990442,0.00009010064,0.00034334383,0.00040386466,0.000074338735,0.00004419131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030823186,0.00010880488,0.00033178637,0.000019206997,0.00022471992,0.0000069232765,0.00009895938,0.00010544928,0.000016041307],"category_scores_gemma":[0.00069479493,0.00006488485,0.00013372986,0.00004770502,0.00024572414,0.00009111119,0.000053584245,0.00017312395,0.0000021799362],"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":[0.00045018466,0.0002453243,0.040637366,0.0002273195,0.0002824322,0.0000035199373,0.00024048385,0.0007051074,0.7789148,0.0025845165,0.0001990613,0.17550987],"study_design_scores_gemma":[0.0005662201,0.00026532944,0.9667505,0.00011785604,0.00012697857,0.000005492582,0.000008010558,0.00054734544,0.028228594,0.0032783253,0.000039992996,0.000065353146],"about_ca_topic_score_codex":0.000007106462,"about_ca_topic_score_gemma":4.8289746e-7,"teacher_disagreement_score":0.9261131,"about_ca_system_score_codex":0.000032099444,"about_ca_system_score_gemma":0.00004019499,"threshold_uncertainty_score":0.26459277},"labels":[],"label_agreement":null},{"id":"W2571205512","doi":"10.1088/1361-6579/aa57b9","title":"Age and sex influence on bone and blood lead concentrations in a cohort of the general population living in Toronto","year":2017,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Mount Allison University; Health Canada; McMaster University","funders":"Health Canada; Government of Canada; McMaster University","keywords":"Cohort; Demography; Lead exposure; Medicine; Gerontology; Population; Environmental health; Cohort study; Sociology; Internal medicine","score_opus":0.047101153996181755,"score_gpt":0.2787840895647737,"score_spread":0.23168293556859193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2571205512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987754,0.000051503033,0.000001520855,0.000044168843,0.000016290349,0.00022154584,8.9994273e-7,0.0000030160325,0.00088566175],"genre_scores_gemma":[0.9998063,0.000032705066,0.000052361433,0.00007170678,0.000009775493,0.000015126765,2.6689466e-7,0.0000016637904,0.000010105647],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920595,0.00010768078,0.00016504784,0.00018080712,0.00022419853,0.000116306386],"domain_scores_gemma":[0.99970204,0.000019594156,0.000071891016,0.0001721532,0.0000037536793,0.000030563995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044688775,0.00006788149,0.00013515358,0.0000040805753,0.00010127367,0.000015639549,0.0000842713,0.000035976624,0.000019653777],"category_scores_gemma":[0.00022342242,0.00004317585,0.00001636167,0.00002031529,0.00013784932,0.00011597658,0.000110444016,0.00006762286,8.2986224e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036212764,0.000095467105,0.7529298,0.000003070396,0.0000021610797,0.0000012054327,0.00008577985,0.0001528358,0.2457541,0.00010467136,0.0000016498709,0.0008656407],"study_design_scores_gemma":[0.00014884668,0.00007434617,0.995074,0.000038428403,0.0000043831,4.37565e-7,0.000011848276,0.00017498143,0.0040607126,0.0003556195,0.000003970812,0.000052454518],"about_ca_topic_score_codex":0.007987842,"about_ca_topic_score_gemma":0.009920367,"teacher_disagreement_score":0.24214417,"about_ca_system_score_codex":0.000103327264,"about_ca_system_score_gemma":0.0000031085049,"threshold_uncertainty_score":0.99861807},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07210843,0.002476069,0.92056143,0.0016523674,0.00045980126,0.0017345822,0.000015451547,0.000363572,0.00062828447],"genre_scores_gemma":[0.9717323,0.00002921722,0.027203126,0.0001611936,0.00033268763,0.00051442086,0.000004985192,0.000017552205,0.0000045275538],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892837,0.00005055619,0.00019393733,0.00023788113,0.00014393083,0.00044535118],"domain_scores_gemma":[0.9993013,0.00012656653,0.000075791686,0.00030353508,0.00013827394,0.000054538075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007762179,0.00016780116,0.00019915223,0.000019338942,0.00067400746,0.000090086345,0.000335131,0.000045746085,0.0000029941102],"category_scores_gemma":[0.00028057233,0.00009994187,0.00022573711,0.00005500784,0.000059227532,0.0000839797,0.00002709873,0.0001314931,0.0000015315444],"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":[0.000033737546,0.000021746724,0.000049352602,0.000042336345,0.00003917495,1.1148882e-7,0.000013391123,0.00030882913,0.8179275,0.0008013024,0.0005508441,0.18021166],"study_design_scores_gemma":[0.0013617917,0.0005294959,0.036433607,0.00009936574,0.00014833981,0.000005141785,0.00002356595,0.45776594,0.43087587,0.065519586,0.006483259,0.0007540412],"about_ca_topic_score_codex":0.0000061160504,"about_ca_topic_score_gemma":0.0000031020961,"teacher_disagreement_score":0.8996239,"about_ca_system_score_codex":0.00008027019,"about_ca_system_score_gemma":0.000008570629,"threshold_uncertainty_score":0.5183988},"labels":[],"label_agreement":null},{"id":"W2583691370","doi":"10.1088/1361-6579/aa513f","title":"Detection of lead in bone phantoms and arsenic in soft tissue phantoms using synchrotron radiation and a portable x-ray fluorescence system","year":2017,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Advanced X-ray and CT Imaging","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":"Mount Allison University","funders":"National Research Council Canada; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mount Allison University; Canadian Light Source","keywords":"Imaging phantom; Materials science; Synchrotron; Synchrotron radiation; Arsenic; X-ray fluorescence; Radiochemistry; Optics; Fluorescence; Nuclear medicine; Chemistry; Physics; Medicine","score_opus":0.03678654257107523,"score_gpt":0.2577187252175273,"score_spread":0.2209321826464521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2583691370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9828601,0.0029466243,0.013771307,0.0000068738022,0.000088209024,0.00025834335,0.0000012206781,0.000043914642,0.000023391274],"genre_scores_gemma":[0.99918455,0.00014401817,0.00060752087,0.0000025792904,0.000033874123,0.000016830149,7.163326e-7,0.000009284893,6.1745936e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991476,0.000033935346,0.00023210759,0.00020405365,0.00016751161,0.0002148151],"domain_scores_gemma":[0.9996775,0.000013164289,0.00009287317,0.00015253913,0.000028425096,0.000035517733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002976389,0.0001290016,0.0002644095,0.00005308421,0.00008606094,0.000023708724,0.00006745254,0.00005511746,0.0000013867389],"category_scores_gemma":[0.000060765018,0.000117544616,0.000016203498,0.000053498356,0.00006443872,0.0002317267,0.000029369256,0.00012127182,0.0000010810896],"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":[0.000022382274,0.000022440801,0.000815755,0.00017555294,0.000006382027,0.000005463529,0.000094255716,0.0078112995,0.9168824,0.0000060833345,2.9678847e-7,0.07415768],"study_design_scores_gemma":[0.0014306753,0.00014473258,0.25866818,0.00082012336,0.0000253531,0.000015665511,0.00035389268,0.49994835,0.23794176,0.00029377942,0.000012054722,0.00034542813],"about_ca_topic_score_codex":0.00015120313,"about_ca_topic_score_gemma":0.00005509208,"teacher_disagreement_score":0.67894065,"about_ca_system_score_codex":0.00014648313,"about_ca_system_score_gemma":0.000005922954,"threshold_uncertainty_score":0.47933304},"labels":[],"label_agreement":null},{"id":"W2592753372","doi":"10.1088/1361-6579/aa63d3","title":"Calibration of the <sup>125</sup> I-induced x-ray fluorescence spectrometry-based system of <i>in vivo</i> bone strontium determinations using hydroxyapatite as a phantom material: a simulation study","year":2017,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","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 Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Imaging phantom; Strontium; Calibration; Materials science; Monte Carlo method; Biomedical engineering; Normalization (sociology); Analytical Chemistry (journal); Chemistry; Optics; Physics; Mathematics; Medicine; Nuclear physics; Chromatography","score_opus":0.048621923800683635,"score_gpt":0.2997294644979273,"score_spread":0.25110754069724367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592753372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99171144,0.0000058958553,0.007196705,0.00002495862,0.00007255221,0.00084549654,0.00003932095,0.000017357388,0.00008627784],"genre_scores_gemma":[0.9991162,2.8201794e-7,0.0006834398,0.0000052790224,0.000120238954,0.000052940595,0.0000058249975,0.000013148963,0.0000026922373],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99762475,0.0003200671,0.0006501554,0.0003987944,0.0007144345,0.00029177673],"domain_scores_gemma":[0.9981925,0.00004138768,0.00074093137,0.00074890367,0.0002204035,0.00005589992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005776049,0.00024044517,0.00054604904,0.00011018091,0.0003192827,0.00007632806,0.00046580978,0.00005685147,0.00008934468],"category_scores_gemma":[0.00006706789,0.00016942326,0.0002233086,0.00026551358,0.00010779961,0.00023162621,0.000100816855,0.0001397063,0.0000015456753],"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":[0.00009308871,0.0009812117,0.027247598,0.00004167589,0.000074378426,0.0000010421666,0.00015065988,0.089753345,0.88123786,0.00028379407,0.0000015415658,0.00013377488],"study_design_scores_gemma":[0.00090645044,0.00037960135,0.09091215,0.00023508155,0.00017681693,9.94393e-8,0.00049796613,0.5611587,0.34533483,0.00020147768,5.557098e-7,0.00019622744],"about_ca_topic_score_codex":0.0012262928,"about_ca_topic_score_gemma":0.000027152711,"teacher_disagreement_score":0.53590304,"about_ca_system_score_codex":0.00014529176,"about_ca_system_score_gemma":0.00009757568,"threshold_uncertainty_score":0.69088805},"labels":[],"label_agreement":null},{"id":"W2593813943","doi":"10.1088/1361-6579/aa707c","title":"Single-lead f-wave extraction using diffusion geometry","year":2017,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","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":"University of Toronto","funders":"Chang Gung Memorial Hospital, Linkou; Chang Gung Medical Foundation","keywords":"Diffusion map; Algorithm; Subtraction; Beat (acoustics); Euclidean distance; Principal component analysis; Manifold (fluid mechanics); Metric (unit); Mathematics; Euclidean geometry; Singular spectrum analysis; Computer science; Artificial intelligence; Singular value decomposition; Nonlinear dimensionality reduction; Geometry; Dimensionality reduction; Physics; Arithmetic; Engineering","score_opus":0.4424306492842649,"score_gpt":0.34060005061461723,"score_spread":0.10183059866964767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593813943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927585,0.00004940142,0.0018403,0.0012617446,0.0010692058,0.00025072772,0.000004213537,0.0000910899,0.002674789],"genre_scores_gemma":[0.99846554,0.000016220867,0.0003247849,0.0007533065,0.00035874837,0.000020302725,4.5454667e-7,0.000012108708,0.000048560236],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99788094,0.00016219863,0.00019195379,0.00063774554,0.00079909124,0.0003280943],"domain_scores_gemma":[0.99853575,0.00051621767,0.0002310565,0.0005153069,0.00013052124,0.000071145674],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.0003980366,0.00019694246,0.00023563461,0.000053542157,0.0013851793,0.00012114376,0.0002496744,0.00007713015,0.00006967491],"category_scores_gemma":[0.016141996,0.00014904125,0.00011637234,0.00007878911,0.00024166077,0.00028731892,0.00029882832,0.00021183952,0.000076468874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006560752,0.0003585506,0.00028735466,0.000009840366,0.000007983474,0.000009966628,0.000012877333,0.0000435812,0.99118775,0.00022380604,0.00032679347,0.0074658673],"study_design_scores_gemma":[0.000571636,0.00042421342,0.103298254,0.000066671826,0.000023689747,0.000025044672,0.000040545237,0.004411279,0.8836822,0.005024475,0.0020613272,0.00037069924],"about_ca_topic_score_codex":0.00003058311,"about_ca_topic_score_gemma":0.000005648828,"teacher_disagreement_score":0.10750561,"about_ca_system_score_codex":0.00030067173,"about_ca_system_score_gemma":0.00001840375,"threshold_uncertainty_score":0.9999149},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946444,0.0025011548,0.0015530289,0.000017841341,0.000064107204,0.0009881505,0.000012753603,0.00010840035,0.00011013206],"genre_scores_gemma":[0.99834514,0.00028003557,0.0011415235,0.000015198762,0.00013569398,0.000056317316,0.000002642396,0.000021341524,0.0000020841185],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99731517,0.0001787624,0.0005842525,0.00062933896,0.0006512282,0.00064126094],"domain_scores_gemma":[0.99884427,0.000111362075,0.0002445353,0.00040901266,0.00017164093,0.00021915427],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041613844,0.0004360742,0.00092473,0.00014704716,0.00039326836,0.00010867433,0.000302009,0.00013207567,0.0000060523635],"category_scores_gemma":[0.00006925058,0.0003332767,0.00009727723,0.00041901143,0.00023916246,0.00020585797,0.00008617086,0.00037887454,0.0000019772328],"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":[0.00012853039,0.00042239853,0.02339067,0.000072766714,0.00020880373,0.000006341034,0.00029825707,0.00013537008,0.971566,0.00015441608,0.000089015775,0.0035273957],"study_design_scores_gemma":[0.0020031305,0.0065590627,0.5488794,0.00011359209,0.00030949284,0.000011546974,0.000100253324,0.02566784,0.41186297,0.0035294301,0.000044002605,0.00091927516],"about_ca_topic_score_codex":0.00006145732,"about_ca_topic_score_gemma":0.000021511041,"teacher_disagreement_score":0.55970305,"about_ca_system_score_codex":0.00009030993,"about_ca_system_score_gemma":0.00002436147,"threshold_uncertainty_score":0.9999119},"labels":[],"label_agreement":null},{"id":"W2603646737","doi":"10.1088/1361-6579/aa6923","title":"Global and regional assessment of sustained inflation pressure–volume curves in patients with acute respiratory distress syndrome","year":2017,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Respiratory Support and Mechanisms","field":"Medicine","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":"Acute respiratory distress; Medicine; Respiratory distress; Intensive care medicine; Inflation (cosmology); Volume (thermodynamics); Cardiology; Internal medicine; Anesthesia; Lung","score_opus":0.05309308451215125,"score_gpt":0.3111853093908064,"score_spread":0.25809222487865513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2603646737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983518,0.0001897914,0.00010714458,0.00018770099,0.000040940427,0.00075819116,0.000028707518,0.000016820262,0.00031886436],"genre_scores_gemma":[0.99946445,0.000017711647,0.00020564329,0.0001841037,0.00001986498,0.000050964598,0.000030513276,0.000006767338,0.000019964027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983416,0.000075344855,0.00029922122,0.00031659423,0.0007539431,0.00021326737],"domain_scores_gemma":[0.9988549,0.0000068841655,0.00027551688,0.00040695004,0.0003296549,0.00012613766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035321352,0.00016684367,0.00040766803,0.000032147203,0.00009663222,0.000016476672,0.00013143658,0.00007806212,0.000031827087],"category_scores_gemma":[0.00008455672,0.00011022069,0.0000481172,0.000053547283,0.00015439665,0.00013880216,0.00008662999,0.00010623508,7.5317865e-7],"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":[0.0005517256,0.0005068704,0.9941371,0.00028712885,0.00015341741,0.000036724592,0.000008555243,0.000009193295,0.0027911835,0.00033823575,0.00024142062,0.00093846495],"study_design_scores_gemma":[0.0026514404,0.0019345569,0.9940871,0.00041001395,0.00012482973,0.0000026179237,0.000012828505,0.000037926126,0.00008652635,0.00021182146,0.0003165957,0.00012372421],"about_ca_topic_score_codex":0.000018469653,"about_ca_topic_score_gemma":0.000008127208,"teacher_disagreement_score":0.0027046571,"about_ca_system_score_codex":0.00010659681,"about_ca_system_score_gemma":0.0001206358,"threshold_uncertainty_score":0.44946694},"labels":[],"label_agreement":null},{"id":"W2604944380","doi":"10.1088/1361-6579/aa6b75","title":"Input respiratory impedance in mice: comparison between the flow-based and the wavetube method to perform the forced oscillation technique","year":2017,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":11,"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":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Forced oscillation; Elastance; Oscillation (cell signaling); Electrical impedance; Analysis of variance; Airway resistance; Control theory (sociology); Respiratory system; Mathematics; Inertance; Biomedical engineering; Statistics; Medicine; Internal medicine; Physics; Computer science; Biology; Engineering; Control (management); Electrical engineering; Thermodynamics","score_opus":0.11577401665810871,"score_gpt":0.37246468278021044,"score_spread":0.25669066612210173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604944380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9787018,0.00075502263,0.009049055,0.007755479,0.000067476634,0.0031126647,0.0000075123867,0.000045805315,0.00050522503],"genre_scores_gemma":[0.996009,0.0000062908193,0.0008622303,0.0024112042,0.0002711496,0.00042226634,0.0000020015175,0.0000104395085,0.00000542142],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979414,0.0006032851,0.00034864372,0.0003135659,0.00053545355,0.00025768683],"domain_scores_gemma":[0.99860525,0.00030100546,0.00017902296,0.0006587099,0.00014924174,0.00010674599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031332225,0.00018954273,0.00039948706,0.000031483705,0.0007440416,0.000054490723,0.00035206712,0.000091195616,0.000013329649],"category_scores_gemma":[0.0008881537,0.00006972669,0.00011926332,0.000088426685,0.00038697684,0.000041690546,0.00014263857,0.00035240132,0.000007014505],"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":[0.0057797018,0.00049519225,0.16994247,0.00029708564,0.00020904875,0.000011536313,0.0013039104,0.0022952456,0.43966025,0.000790962,0.0030720374,0.37614256],"study_design_scores_gemma":[0.002166761,0.0005424618,0.96608776,0.00016328215,0.000097162236,9.835387e-7,0.00015833158,0.005649894,0.019091599,0.00053435017,0.005345422,0.00016197973],"about_ca_topic_score_codex":0.000040257702,"about_ca_topic_score_gemma":0.000017065217,"teacher_disagreement_score":0.7961453,"about_ca_system_score_codex":0.00010599017,"about_ca_system_score_gemma":0.00009386355,"threshold_uncertainty_score":0.57226413},"labels":[],"label_agreement":null},{"id":"W2740315567","doi":"10.1088/1361-6579/aa82d8","title":"The feasibility of <i>in vivo</i> detection of lanthanum using a <sup>241</sup> Am K x-ray fluorescence system","year":2017,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Bone Tissue Engineering Materials","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":"Toronto Metropolitan University","funders":"","keywords":"Lanthanum carbonate; X-ray fluorescence; Semiconductor detector; In vivo; Lanthanum; Radiochemistry; Detection limit; Nuclear medicine; Materials science; Chemistry; Fluorescence; Analytical Chemistry (journal); Biomedical engineering; Detector; Physics; Calcium; Medicine; Optics; Chromatography; Biology","score_opus":0.08359401979808433,"score_gpt":0.26252985439150583,"score_spread":0.1789358345934215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740315567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99740195,0.00021161743,0.0015001701,0.0000057171665,0.00031592022,0.00035821588,0.000012489291,0.000095696545,0.00009819348],"genre_scores_gemma":[0.9995286,0.000018363338,0.00034528188,6.107517e-7,0.00006474214,0.00002595437,2.9175436e-7,0.000014548975,0.0000016251176],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99870265,0.000096636984,0.00042161962,0.00018724258,0.00033831492,0.00025352277],"domain_scores_gemma":[0.9990816,0.000041863463,0.0001364607,0.00060594047,0.00009196805,0.00004217003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009253753,0.00016315012,0.000371374,0.00002533006,0.000105256964,0.00002592506,0.000349502,0.000078305595,0.000005182486],"category_scores_gemma":[0.00022577471,0.00011280254,0.000074500516,0.000055626482,0.00010320582,0.00006865658,0.000069072186,0.00011199079,0.0000030031977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003275654,0.00003013084,0.00022136363,0.00030532805,0.000018984358,0.0000010414759,0.000041144907,0.08151898,0.9173981,0.00003817296,0.0000065047575,0.00038746936],"study_design_scores_gemma":[0.0003873426,0.00011269484,0.04515991,0.00041938847,0.00002110621,0.0000020381635,0.00007224959,0.102627784,0.85090154,0.00008001911,0.000026922116,0.00018898501],"about_ca_topic_score_codex":0.0001189901,"about_ca_topic_score_gemma":0.000013157715,"teacher_disagreement_score":0.06649656,"about_ca_system_score_codex":0.00021388012,"about_ca_system_score_gemma":0.000010408347,"threshold_uncertainty_score":0.45999542},"labels":[],"label_agreement":null},{"id":"W2748721182","doi":"10.1088/1361-6579/aa87f0","title":"Coherent normalization for<i>in vivo</i>measurements of gadolinium in bone","year":2017,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Radiation Shielding Materials Analysis","field":"Materials Science","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":"McMaster University; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Ryerson University","keywords":"Normalization (sociology); Monte Carlo method; Imaging phantom; Gadolinium; In vivo; Biomedical engineering; Excitation; Materials science; Nuclear medicine; Physics; Medicine; Mathematics; Statistics","score_opus":0.17419889557433899,"score_gpt":0.3293239280526466,"score_spread":0.1551250324783076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748721182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99788094,0.000067032284,0.0007549995,0.00011517832,0.0003280664,0.00046541865,0.000014402874,0.000017674143,0.00035627285],"genre_scores_gemma":[0.99893636,0.0000150748165,0.00077047147,0.000044720906,0.00007117616,0.00014172385,0.0000035197227,0.000008413766,0.000008563111],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980013,0.00016468186,0.0006381437,0.0003424439,0.0005693295,0.00028410475],"domain_scores_gemma":[0.9987523,0.000030396815,0.0004979585,0.00043880648,0.0002305229,0.00005004089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002198685,0.0001451681,0.0004403462,0.00008570524,0.0001094191,0.00006621008,0.00036751758,0.00007838385,0.00029803446],"category_scores_gemma":[0.00075620355,0.0001176216,0.0000868944,0.00007321022,0.000073669114,0.0001705087,0.00007519313,0.000044629513,0.000014639466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012079415,0.00023405027,0.010930655,0.000051579467,0.0000063803627,5.793543e-7,0.00005481627,0.0017162105,0.9864739,0.00010924448,0.00012352913,0.00017825478],"study_design_scores_gemma":[0.0010672888,0.00011157349,0.15447645,0.0000976438,0.0000148976305,1.895216e-7,0.00001686826,0.0003475862,0.84271437,0.0009559547,0.000046826364,0.00015034438],"about_ca_topic_score_codex":0.00020823753,"about_ca_topic_score_gemma":0.0002510958,"teacher_disagreement_score":0.14375953,"about_ca_system_score_codex":0.00015445933,"about_ca_system_score_gemma":0.000035821507,"threshold_uncertainty_score":0.47964695},"labels":[],"label_agreement":null},{"id":"W2752700222","doi":"10.1088/1361-6579/aa8b59","title":"Theoretical and experimental comparison of lag-based and time-based exponential moving average models of QT hysteresis","year":2017,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Cardiac electrophysiology and arrhythmias","field":"Medicine","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":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal; Hôpital du Sacré-Cœur de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Time constant; Impulse (physics); Moving average; Autoregressive model; Control theory (sociology); Exponential function; Impulse response; Hysteresis; Exponential growth; Statistics; Computer science; Mathematical analysis; Physics; Engineering; Artificial intelligence","score_opus":0.058766268840098786,"score_gpt":0.30487856345513975,"score_spread":0.24611229461504097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752700222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99801874,0.0005766173,0.0003848767,0.0001396401,0.000035686728,0.0002995875,0.000007826805,0.00001628404,0.0005207565],"genre_scores_gemma":[0.99942356,0.0000052997143,0.00040723276,0.00006562712,0.00005847918,0.000021020154,0.0000068889026,0.000009433328,0.0000024538647],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987175,0.00014459713,0.00029766432,0.00030241293,0.00033356066,0.00020428508],"domain_scores_gemma":[0.9991749,0.00007857781,0.00019278273,0.00034570886,0.00010285748,0.00010515965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026792704,0.0001724723,0.000667946,0.0000354224,0.00014989503,0.000010828294,0.00008522634,0.00010769213,0.00011661838],"category_scores_gemma":[0.000114289476,0.00012429543,0.00014178974,0.000019866055,0.00079607393,0.000043002914,0.00008498914,0.00014150317,0.0000017062756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018286621,0.00050559465,0.0005482578,0.00010958302,0.000077262135,0.000012749575,0.000058493853,0.00076497317,0.99366546,0.0019262942,0.000029036884,0.00047361548],"study_design_scores_gemma":[0.0031465169,0.0021234518,0.035686187,0.0002375219,0.000121961886,0.0000071594204,0.00003404945,0.05817819,0.8982055,0.0020730058,0.000001905523,0.00018453461],"about_ca_topic_score_codex":0.000009963039,"about_ca_topic_score_gemma":1.8931753e-7,"teacher_disagreement_score":0.09545996,"about_ca_system_score_codex":0.000029281386,"about_ca_system_score_gemma":0.00003933157,"threshold_uncertainty_score":0.50686204},"labels":[],"label_agreement":null},{"id":"W2760953235","doi":"10.1088/1361-6579/aa92bf","title":"Vessel calibre and flow splitting relationships at the internal carotid artery terminal bifurcation","year":2017,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":28,"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 Western Hospital; University Health Network; University of Toronto","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; University Health Network; Heart and Stroke Foundation of Canada","keywords":"Exponent; Flow (mathematics); Bifurcation; Power law; Mathematics; Pulsatile flow; Geometry; Mechanics; Physics; Law; Cardiology; Statistics; Medicine","score_opus":0.12077304374403025,"score_gpt":0.2922022336509503,"score_spread":0.17142918990692008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760953235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893815,0.00011598197,0.00019457405,0.007771204,0.00009628345,0.00040177422,0.0000063562316,0.00003781271,0.0019945344],"genre_scores_gemma":[0.9988049,0.000020072783,0.00026582633,0.0001630568,0.00027756245,0.000096669304,0.000016884638,0.0000068843306,0.00034812276],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990644,0.00008196048,0.0001854168,0.00024827867,0.00025702585,0.0001629497],"domain_scores_gemma":[0.9992319,0.000049725728,0.00012198777,0.00041648964,0.00009935618,0.00008056099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028665081,0.00012545793,0.00015610711,0.000016026763,0.0010910712,0.00005961647,0.00012879314,0.00005188307,0.000057305642],"category_scores_gemma":[0.00019862225,0.00007015191,0.00006804781,0.000023535786,0.00016607685,0.000068135196,0.00009462318,0.00019765587,0.000053749536],"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":[0.0010177762,0.0015497212,0.36157244,0.00017658023,0.00048499796,0.00008209599,0.0015148678,0.000057402707,0.5476235,0.006144953,0.0076078875,0.072167784],"study_design_scores_gemma":[0.0004903712,0.00018980172,0.9943014,0.00007376664,0.00009479179,0.00011555821,0.00004417893,0.00073609885,0.001852894,0.0014445474,0.0005691029,0.00008752358],"about_ca_topic_score_codex":0.00003301463,"about_ca_topic_score_gemma":0.000015824575,"teacher_disagreement_score":0.63272893,"about_ca_system_score_codex":0.00010080545,"about_ca_system_score_gemma":0.000021093558,"threshold_uncertainty_score":0.8391748},"labels":[],"label_agreement":null},{"id":"W2763779665","doi":"10.1088/1361-6579/aa904f","title":"The decrease in population bone lead levels in Canada between 1993 and 2010 as assessed by<i>in vivo</i>XRF","year":2017,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hamilton Health Sciences; Health Canada; University of Toronto; McMaster University","funders":"Health Canada","keywords":"Tibia; Lead (geology); Medicine; In vivo; Lead exposure; Population; Skeleton (computer programming); Surgery; Environmental health; Internal medicine; Biology; Anatomy","score_opus":0.08262174283835641,"score_gpt":0.2750380264591229,"score_spread":0.1924162836207665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763779665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982652,0.00009178388,0.000004151937,0.00065064937,0.00007137504,0.00026576553,0.00000728967,0.0000045376178,0.0006392667],"genre_scores_gemma":[0.9996802,0.00002612007,0.000033066888,0.00016981196,0.000020887463,0.000028946075,0.0000024553576,0.0000046433925,0.00003382481],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99831957,0.00021577481,0.00030719873,0.00031978436,0.00049867964,0.00033899947],"domain_scores_gemma":[0.9993811,0.000086210435,0.00010574203,0.00028585663,0.000006222984,0.00013486473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010736716,0.00013852096,0.00024251078,0.000012310796,0.00019344677,0.0000380987,0.00025079367,0.000059320893,0.000086466134],"category_scores_gemma":[0.000566808,0.000090921334,0.000023276476,0.00006714776,0.00010316251,0.00014221518,0.00014205153,0.00020396536,0.00001328475],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002592828,0.0000842864,0.864046,0.000003831274,0.000003847681,0.00001246449,0.000015851152,0.000054641077,0.12744342,0.000012390169,0.00087068684,0.0074266824],"study_design_scores_gemma":[0.00038700612,0.00004664877,0.9912787,0.000017924014,0.000002740863,3.6934563e-7,0.00001103958,0.000074976364,0.0058430037,0.0018050646,0.00040799647,0.0001245208],"about_ca_topic_score_codex":0.8881236,"about_ca_topic_score_gemma":0.9111117,"teacher_disagreement_score":0.12723275,"about_ca_system_score_codex":0.0006319391,"about_ca_system_score_gemma":0.000063401276,"threshold_uncertainty_score":0.37076646},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9791475,0.019886417,0.00007737575,0.00015974785,0.00006391229,0.00012551132,0.000010518053,0.00004220953,0.00048679646],"genre_scores_gemma":[0.997046,0.0025092878,0.0003722798,0.00000192789,0.000045086646,0.000017468297,4.189994e-7,0.000005015287,0.000002549363],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99941033,0.000020928646,0.00013912162,0.00012929882,0.00017432439,0.00012601148],"domain_scores_gemma":[0.9996306,0.00003225969,0.000056572877,0.00016427852,0.000068131856,0.000048211466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011482299,0.0000959455,0.00019158766,0.00003097475,0.00006185299,0.000008956953,0.00009562628,0.000051757528,0.000001577208],"category_scores_gemma":[0.000050296952,0.000071564566,0.00004372347,0.000022565197,0.00010301269,0.000051941577,0.000024837324,0.000078227415,3.052451e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035229852,0.00016665323,0.03376779,0.0005681691,0.00012325398,0.0000014898034,0.000037194062,0.0004897937,0.89301944,0.00015001482,0.000016525457,0.07162447],"study_design_scores_gemma":[0.00016271268,0.00022966247,0.97000706,0.000084006475,0.000034558107,3.8738415e-7,0.00002329646,0.0030284314,0.025835685,0.0004128996,0.000085177,0.000096120755],"about_ca_topic_score_codex":0.000004168261,"about_ca_topic_score_gemma":0.0000011257281,"teacher_disagreement_score":0.9362393,"about_ca_system_score_codex":0.000004747222,"about_ca_system_score_gemma":0.0000036915337,"threshold_uncertainty_score":0.29183182},"labels":[],"label_agreement":null},{"id":"W2773469977","doi":"10.1088/1361-6579/aaa0ad","title":"An automated method for dynamic red blood cell aggregate detection in microfluidic flow","year":2017,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Blood properties and coagulation","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Research Council Canada; Canada Foundation for Innovation","keywords":"Microfluidics; Shearing (physics); Biomedical engineering; Image processing; Red blood cell; Aggregate (composite); Microchannel; Suspension (topology); Computer science; Microsphere; Phosphate buffered saline; Materials science; Computer vision; Artificial intelligence; Biological system; Nanotechnology; Chromatography; Composite material; Chemistry; Image (mathematics); Mathematics; Engineering; Chemical engineering","score_opus":0.06955397759384917,"score_gpt":0.33159341901456024,"score_spread":0.26203944142071106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773469977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913374,0.0007548203,0.005988249,0.00044133762,0.00016650934,0.0009986404,0.0000043224904,0.00021448117,0.00009424894],"genre_scores_gemma":[0.9917579,0.00007870987,0.007743334,0.00012267267,0.000080505495,0.0001614312,0.000018218878,0.000016689757,0.000020489742],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99874,0.00012398411,0.00026110315,0.00037190627,0.00023766737,0.00026532344],"domain_scores_gemma":[0.9991074,0.000012540329,0.00014399154,0.0004665217,0.00017758292,0.00009193541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006323093,0.00015849492,0.000314049,0.000043713164,0.00022933583,0.00003706491,0.00014410893,0.00012992286,0.000016872837],"category_scores_gemma":[0.00014220264,0.00011191706,0.00010044698,0.000045374552,0.000034081942,0.00008505772,0.000030622556,0.00012930171,0.000006516546],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048925617,0.0005001565,0.00019240266,0.00007841518,0.000032249984,0.0000030923254,0.00002880588,0.00006068148,0.9617508,0.0000024400886,0.000050540777,0.03681118],"study_design_scores_gemma":[0.0034663358,0.0018275486,0.19908474,0.00011629914,0.00016533055,0.000006316275,0.00002123492,0.16986728,0.6245252,0.0006031578,0.00013628246,0.00018031274],"about_ca_topic_score_codex":0.000087227876,"about_ca_topic_score_gemma":0.000030900494,"teacher_disagreement_score":0.33722562,"about_ca_system_score_codex":0.00009463838,"about_ca_system_score_gemma":0.000031333915,"threshold_uncertainty_score":0.4563845},"labels":[],"label_agreement":null},{"id":"W2786289268","doi":"10.1088/1361-6579/aacfd9","title":"Shoulder physiotherapy exercise recognition: machine learning the inertial signals from a smartwatch","year":2018,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Sunnybrook Hospital; University of Waterloo; University of Toronto","funders":"","keywords":"Smartwatch; Inertial measurement unit; Proof of concept; Wrist; Accelerometer; Inertial frame of reference","score_opus":0.13625608374148812,"score_gpt":0.34170774382037405,"score_spread":0.20545166007888593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786289268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992216,0.0015153922,0.00035562116,0.0030470754,0.0003171482,0.0010095277,0.000021167205,0.00022105752,0.0012970243],"genre_scores_gemma":[0.99576384,0.00020539301,0.0003979026,0.0018834308,0.0013046993,0.00022012932,0.000083197236,0.00002489171,0.00011652088],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.997953,0.00021571128,0.0003059828,0.0004827083,0.0006956796,0.0003468923],"domain_scores_gemma":[0.9990114,0.00007522008,0.000098259894,0.0003609516,0.00030691718,0.00014726754],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00033813997,0.00028621688,0.00042088007,0.000028797518,0.00032547777,0.00003096534,0.00014435468,0.000110573805,0.0029782567],"category_scores_gemma":[0.00009728298,0.00014688152,0.00021032557,0.00017479633,0.00020808446,0.00005092825,0.00005853521,0.00033336141,0.00037636657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033449195,0.0018270785,0.0025782348,0.000025782683,0.0006141306,0.000026630909,0.00060694024,0.000021150516,0.8627445,0.000013305644,0.0044297557,0.12376758],"study_design_scores_gemma":[0.007752929,0.0072345566,0.15893814,0.00054349,0.0012976442,0.000021046224,0.00027640554,0.0011387783,0.7940585,0.008245735,0.019654214,0.0008385856],"about_ca_topic_score_codex":0.0002014193,"about_ca_topic_score_gemma":0.000017487297,"teacher_disagreement_score":0.15635991,"about_ca_system_score_codex":0.00009835437,"about_ca_system_score_gemma":0.000042183838,"threshold_uncertainty_score":0.99793315},"labels":[],"label_agreement":null},{"id":"W2789385172","doi":"10.1088/1361-6579/aab994","title":"Influence of upper limb movement patterns on accelerometer measurements: a pediatric case series","year":2018,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Cerebral Palsy and Movement Disorders","field":"Medicine","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":"McMaster University; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"Toronto Rehabilitation Institute; Natural Sciences and Engineering Research Council of Canada; University Health Network","keywords":"Wrist; Accelerometer; Upper limb; Elbow; Physical medicine and rehabilitation; Trunk; Movement (music); Medicine; Computer science; Anatomy","score_opus":0.10329878419902494,"score_gpt":0.298687908471953,"score_spread":0.19538912427292804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789385172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99739754,0.00009484337,0.00002796196,0.0004091618,0.00011708753,0.0008427149,0.000015099172,0.00006552642,0.0010300685],"genre_scores_gemma":[0.99646264,0.00009858765,0.00014249001,0.002820661,0.00028008615,0.00011265179,0.000008066095,0.00002000332,0.000054798773],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9972631,0.00010788419,0.0005482019,0.00051407,0.0011140143,0.0004527313],"domain_scores_gemma":[0.998489,0.000024842955,0.00018981115,0.0004872909,0.00061236136,0.00019664272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004981211,0.00032108056,0.00048131315,0.0001446508,0.00012578581,0.000014011959,0.00015703154,0.00010385359,0.0005824001],"category_scores_gemma":[0.00026440946,0.00022273678,0.00021370334,0.00025145218,0.00014058412,0.0001169733,0.00010754451,0.00018665385,0.000090265545],"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":[0.0029006246,0.0057410263,0.39416292,0.000898732,0.0006912163,0.00019728948,0.0005505098,0.0002448862,0.5866279,0.00043906027,0.0018672394,0.0056785685],"study_design_scores_gemma":[0.0030611597,0.011803835,0.8879767,0.00026120673,0.0002815211,0.000058173282,0.00027353296,0.000011275469,0.094744496,0.0007081685,0.00035078876,0.00046911632],"about_ca_topic_score_codex":0.000071169656,"about_ca_topic_score_gemma":0.00003224779,"teacher_disagreement_score":0.49381378,"about_ca_system_score_codex":0.00014923874,"about_ca_system_score_gemma":0.000054763143,"threshold_uncertainty_score":0.90829426},"labels":[],"label_agreement":null},{"id":"W2792627653","doi":"10.1088/1361-6579/aaa3c9","title":"Robust QRS detection for HRV estimation from compressively sensed ECG measurements for remote health-monitoring systems","year":2018,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Canada Research Chairs","keywords":"QRS complex; Computer science; Robustness (evolution); Compressed sensing; Block (permutation group theory); SIGNAL (programming language); Artificial intelligence; Pattern recognition (psychology); Computer vision; Algorithm; Mathematics; Medicine","score_opus":0.40057050783406645,"score_gpt":0.371665090712277,"score_spread":0.028905417121789456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792627653","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34361055,0.000749674,0.65035,0.00050426135,0.0020995461,0.0023395785,0.000034827426,0.00026838522,0.000043209675],"genre_scores_gemma":[0.9666747,0.000016560953,0.03049802,0.000065138694,0.0024523127,0.00019570011,0.000046126086,0.000028210641,0.00002322208],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975505,0.00015270783,0.0005456247,0.00056666724,0.0007395964,0.0004449095],"domain_scores_gemma":[0.99790263,0.000110247456,0.00033468843,0.00032331675,0.0011137448,0.00021537405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010378102,0.00025772947,0.0006093413,0.000079554105,0.0004681487,0.00004689873,0.000105933395,0.0001372426,0.0000040862146],"category_scores_gemma":[0.00063546357,0.00020057807,0.00023618051,0.00014591539,0.000049239676,0.000061928,0.000023970204,0.00014346525,0.000014240624],"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":[0.001086796,0.00028355673,0.0009982492,0.00037872023,0.00052203226,7.1403514e-7,0.00011589426,0.0038390388,0.9030558,0.0000029454009,0.000407421,0.089308836],"study_design_scores_gemma":[0.0065682633,0.004236022,0.056678325,0.002320255,0.00077648193,0.0000048220977,0.0003487239,0.5995126,0.32739067,0.000681268,0.0008288768,0.0006537317],"about_ca_topic_score_codex":0.00042457046,"about_ca_topic_score_gemma":0.0000114405475,"teacher_disagreement_score":0.62306416,"about_ca_system_score_codex":0.0006231124,"about_ca_system_score_gemma":0.000068642206,"threshold_uncertainty_score":0.8179336},"labels":[],"label_agreement":null},{"id":"W2793079928","doi":"10.1088/1361-6579/aaaaa4","title":"Non-invasive acquisition of fetal ECG from the maternal xyphoid process: a feasibility study in pregnant sheep and a call for open data sets","year":2018,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"ECG Monitoring and Analysis","field":"Medicine","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":"Ottawa Hospital; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"SIGNAL (programming language); Fetal monitoring; Process (computing); Artificial intelligence; Computer science; Fetal heart rate; Pattern recognition (psychology); Speech recognition; Fetus; Medicine; Heart rate; Internal medicine; Pregnancy","score_opus":0.23292603876786755,"score_gpt":0.39428136351764365,"score_spread":0.1613553247497761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793079928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975233,0.00014713306,0.00018761607,0.00020167176,0.00004670792,0.00178752,0.00007706926,0.000009496308,0.000019474739],"genre_scores_gemma":[0.9988943,0.000014290656,0.0006369443,0.00007341217,0.00017487672,0.000150371,0.000045602996,0.000006357084,0.0000038653907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985174,0.00010954919,0.0003119832,0.0005160451,0.00037003923,0.00017498207],"domain_scores_gemma":[0.99890196,0.00007379505,0.00012195388,0.0005573916,0.00027953932,0.00006534085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009898898,0.00013381774,0.00040066103,0.000018788625,0.00008389661,0.000028073517,0.0004450295,0.000043995416,0.00001744291],"category_scores_gemma":[0.00031801008,0.00007047693,0.000043199438,0.00009912237,0.00010956866,0.000083108745,0.00039816275,0.000095802694,0.0000020768516],"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":[0.0019184895,0.0028713772,0.84446007,0.0001562176,0.00033771936,0.000006774102,0.0009726728,0.0000058704845,0.14203914,7.992527e-7,0.000113488655,0.0071174093],"study_design_scores_gemma":[0.0025510727,0.0023093047,0.9766103,0.0005581963,0.00023063716,0.0000011265075,0.0007595371,0.0028003266,0.0133810695,0.0007007978,0.0000019780582,0.00009565695],"about_ca_topic_score_codex":0.00097006274,"about_ca_topic_score_gemma":0.00046750397,"teacher_disagreement_score":0.13215025,"about_ca_system_score_codex":0.00006619551,"about_ca_system_score_gemma":0.00007227383,"threshold_uncertainty_score":0.2873966},"labels":[],"label_agreement":null},{"id":"W2799552222","doi":"10.1088/1361-6579/aac02b","title":"Non-invasive measurement of cardiac output in children with repaired coarctation of the aorta using electrical cardiometry compared to transthoracic Doppler echocardiography","year":2018,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children’s Health Research Institute; London Health Sciences Centre; Western University","funders":"Western University; Academic Medical Organization of Southwestern Ontario; Children's Health Research Institute","keywords":"Medicine; Ventricular outflow tract; Cardiology; Coarctation of the aorta; Internal medicine; Doppler echocardiography; Hemodynamics; Linear correlation; Correlation; Doppler effect; Aorta; Cardiac output; Linear regression; Diastole; Blood pressure; Mathematics","score_opus":0.06852994085354347,"score_gpt":0.29445807253400746,"score_spread":0.225928131680464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799552222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99678904,0.00019361817,0.0012521484,0.000054511744,0.00013271956,0.0014334031,0.000009806576,0.000027298667,0.00010744768],"genre_scores_gemma":[0.9985022,0.00002277001,0.0011785525,0.000042977226,0.00017353139,0.000056183515,0.0000044203352,0.000018398296,9.736394e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99695057,0.0002667448,0.0004889136,0.00041673525,0.0015411685,0.0003358653],"domain_scores_gemma":[0.99836457,0.000023532337,0.0001641668,0.0005083019,0.0008072836,0.0001321525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00107461,0.00023386056,0.0008084921,0.00023799256,0.000069078014,0.000005416397,0.00017595534,0.00009693752,0.0000027224044],"category_scores_gemma":[0.000110594636,0.00014045982,0.00035784952,0.0012695331,0.00019123024,0.000025642297,0.000028108461,0.00020069811,0.000001254857],"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":[0.0008946381,0.000414694,0.44187248,0.000059283313,0.000870169,7.655387e-7,0.0002851487,0.00049210934,0.5506434,0.0000044969697,0.000048744478,0.0044141146],"study_design_scores_gemma":[0.0009750015,0.0010397168,0.86894995,0.00039638867,0.00021054926,0.0000036533029,0.00005308088,0.0003736195,0.1278073,0.00003247665,0.000008165622,0.00015011107],"about_ca_topic_score_codex":0.0003058594,"about_ca_topic_score_gemma":0.000010883835,"teacher_disagreement_score":0.42707744,"about_ca_system_score_codex":0.0003262617,"about_ca_system_score_gemma":0.00019921472,"threshold_uncertainty_score":0.5727785},"labels":[],"label_agreement":null},{"id":"W2804622278","doi":"10.1088/1361-6579/aac553","title":"Characterization of cardiorespiratory phase synchronization and directionality in late premature and full term infants","year":2018,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","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":"Columbia College","funders":"National Institute of Mental Health; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Rotary Foundation","keywords":"Cardiorespiratory fitness; Directionality; Synchronization (alternating current); Phase synchronization; Term (time); Phase (matter); Computer science; Time synchronization; Medicine; Telecommunications; Real-time computing; Physics; Internal medicine; Biology","score_opus":0.043540800493690544,"score_gpt":0.28718296131090826,"score_spread":0.2436421608172177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804622278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99910593,0.00009762155,0.00013602963,0.00017367082,0.000046359757,0.00036447565,0.00000936059,0.000016069833,0.0000504898],"genre_scores_gemma":[0.99969006,0.00002020049,0.00003566975,0.000114577466,0.000104077226,0.000017065086,0.00001160756,0.0000032115804,0.0000035244034],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99924564,0.00010620705,0.00022029881,0.00019884764,0.00013499825,0.0000940044],"domain_scores_gemma":[0.99962884,0.00001614738,0.00005828013,0.000100786994,0.00014218278,0.00005373578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048388666,0.000077891345,0.00024357912,0.00003177852,0.00003257446,0.0000056154176,0.000016425429,0.000071712355,0.000030127565],"category_scores_gemma":[0.00015548083,0.000057811412,0.000020785661,0.00007299074,0.00011141476,0.0000517074,0.000021863687,0.00007550259,0.0000012391532],"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":[0.00016916751,0.00019230283,0.010731198,0.000080072095,0.00001961685,5.521388e-7,0.000120817895,8.6862116e-7,0.97443247,0.000019833762,0.0000019740278,0.014231134],"study_design_scores_gemma":[0.0014265856,0.00050136686,0.97224474,0.00010560686,0.000023111674,0.000001502211,0.0000033831936,0.0007883347,0.024446394,0.00012323458,0.00027599515,0.000059772636],"about_ca_topic_score_codex":0.0000067133647,"about_ca_topic_score_gemma":0.000006389709,"teacher_disagreement_score":0.9615135,"about_ca_system_score_codex":0.000057430047,"about_ca_system_score_gemma":0.000045019107,"threshold_uncertainty_score":0.2357481},"labels":[],"label_agreement":null},{"id":"W2808167938","doi":"10.1088/1361-6579/aacc16","title":"Measurement of gadolinium retention: current status and review from an applied radiation physics perspective","year":2018,"lang":"en","type":"review","venue":"Physiological Measurement","topic":"Lanthanide and Transition Metal Complexes","field":"Materials Science","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":"McMaster University; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gadolinium; Context (archaeology); Medical physics; Nuclear medicine; Physics; Neutron; Medicine; Nuclear engineering; Nuclear physics; Materials science; Engineering","score_opus":0.27863471791872374,"score_gpt":0.37233622863474225,"score_spread":0.09370151071601851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808167938","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011512628,0.9970063,0.00055405137,0.000014288395,0.0004548192,0.0014456507,0.00022135113,0.00006531755,0.0001231185],"genre_scores_gemma":[0.008848279,0.9897523,0.00026457667,0.000055871704,0.00064823945,0.00023220024,0.00017177143,0.000026339336,4.233953e-7],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953776,0.0008349963,0.0009715467,0.0009830145,0.0014526875,0.0003801327],"domain_scores_gemma":[0.9974904,0.000039116174,0.00081189815,0.0005638991,0.0008937034,0.00020096416],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015225443,0.0005270678,0.0020126987,0.000045803725,0.00012970346,0.000034151664,0.00031616053,0.00013437298,0.00025373462],"category_scores_gemma":[0.00012778361,0.0003499492,0.00038630853,0.00021067982,0.0002201505,0.00013078986,0.00010355785,0.00025359748,0.00010622924],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013552676,0.0015307588,0.0000016941354,0.056557484,0.00046845718,0.0000018088234,0.00019806468,0.0000018694102,0.030984506,0.0042775963,0.001168857,0.9046734],"study_design_scores_gemma":[0.0027577814,0.0031471972,0.0014286556,0.20025624,0.012667841,0.000008225956,0.00018327542,0.00001844831,0.011886869,0.050026484,0.71331835,0.0043006325],"about_ca_topic_score_codex":0.00005699543,"about_ca_topic_score_gemma":0.0000053150047,"teacher_disagreement_score":0.90037274,"about_ca_system_score_codex":0.00041671554,"about_ca_system_score_gemma":0.00023387665,"threshold_uncertainty_score":0.9998953},"labels":[],"label_agreement":null},{"id":"W2810138282","doi":"10.1088/1361-6579/aacf1f","title":"A novel approach to brain connectivity reveals early structural changes in Alzheimer’s disease","year":2018,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":19,"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 Institute on Aging; Canadian Institutes of Health Research","keywords":"Neuroimaging; Diffusion MRI; Tractography; Neuroscience; Alzheimer's disease; White matter; Disease; Computer science; Artificial intelligence; Medicine; Psychology; Magnetic resonance imaging; Pathology","score_opus":0.25447896058775743,"score_gpt":0.32036220622166306,"score_spread":0.06588324563390563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810138282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98784375,0.000062509884,0.0005541167,0.008892223,0.0004212782,0.0010289324,0.000039215094,0.00013057957,0.0010273852],"genre_scores_gemma":[0.98935825,0.0000014023351,0.0003494095,0.009532685,0.0003996899,0.0003268945,0.0000011901191,0.000015678317,0.000014827922],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99701774,0.00036569167,0.0002137134,0.0010670598,0.0007939964,0.0005418189],"domain_scores_gemma":[0.9981827,0.00096206483,0.00007870127,0.00036699377,0.00016474846,0.0002447753],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00070660346,0.00028439733,0.00035791242,0.00010286538,0.0002651221,0.000041916526,0.00033323234,0.000057384783,0.000032230913],"category_scores_gemma":[0.014181488,0.00021519735,0.00008007184,0.0004881302,0.0002769448,0.00011653387,0.0002988416,0.00019746972,0.000080302445],"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":[0.00044038426,0.00042234242,0.0015145008,0.000012961287,0.000021264113,0.0000031129202,0.00028946917,0.00009779947,0.9899053,0.0035336479,0.0024404386,0.0013187869],"study_design_scores_gemma":[0.0007687374,0.0009103281,0.9460292,0.0000446206,0.000020208765,0.0000038595194,0.000043200485,0.00058583386,0.043854572,0.006727103,0.00052704127,0.00048531327],"about_ca_topic_score_codex":0.00007148577,"about_ca_topic_score_gemma":0.00008664404,"teacher_disagreement_score":0.9460507,"about_ca_system_score_codex":0.00018021114,"about_ca_system_score_gemma":0.000036417274,"threshold_uncertainty_score":0.9941225},"labels":[],"label_agreement":null},{"id":"W2884831718","doi":"10.1088/1361-6579/aad424","title":"Evaluation of a toolkit for standardizing clinical measures of muscle tone","year":2018,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Botulinum Toxin and Related Neurological Disorders","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Scotia Health Authority; Stan Cassidy Foundation; University of New Brunswick","funders":"Atlantic Canada Opportunities Agency","keywords":"Muscle tone; Tone (literature); Computer science; Physical medicine and rehabilitation; Medicine","score_opus":0.4843892928922703,"score_gpt":0.4563651192532047,"score_spread":0.028024173639065564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884831718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99337226,0.0007461249,0.0019844777,0.0005190842,0.0002442379,0.0012068909,0.000011251426,0.000037278183,0.0018783795],"genre_scores_gemma":[0.9983776,0.00012110189,0.001011353,0.00025234948,0.00016752622,0.0000518914,0.000003928814,0.000009403704,0.000004798233],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9969698,0.00039393414,0.0006694937,0.00032661614,0.0014244522,0.00021568454],"domain_scores_gemma":[0.99672025,0.00012571125,0.00022186282,0.00025798284,0.0025747889,0.00009939484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051926845,0.00013383281,0.0005408904,0.000037926424,0.000051847455,0.0000026365187,0.000102985854,0.00019139986,0.00015239524],"category_scores_gemma":[0.0034044688,0.00008339401,0.00032016338,0.00014680949,0.00039858883,0.000023534481,0.000037763395,0.00016365666,0.0000062998524],"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":[0.0022914177,0.0020144382,0.0009624967,0.0001224278,0.00047024182,7.705428e-7,0.000083505896,0.00008515425,0.7829446,0.00035955364,0.0018175938,0.20884779],"study_design_scores_gemma":[0.019734032,0.03255504,0.73967147,0.0005832917,0.003104285,0.000005508727,0.00022315196,0.0064807553,0.1616578,0.028449621,0.0069984617,0.0005365867],"about_ca_topic_score_codex":0.000003928576,"about_ca_topic_score_gemma":0.0000026892412,"teacher_disagreement_score":0.738709,"about_ca_system_score_codex":0.000053866886,"about_ca_system_score_gemma":0.00015159829,"threshold_uncertainty_score":0.40757132},"labels":[],"label_agreement":null},{"id":"W2886835274","doi":"10.1088/1361-6579/aadacf","title":"An assessment of intra-individual variability in carotid artery longitudinal wall motion: recommendations for data acquisition","year":2018,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","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":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cardiac cycle; Cardiology; Medicine; Diastole; Common carotid artery; Internal medicine; Carotid arteries; Blood pressure; Mathematics","score_opus":0.22482469233507119,"score_gpt":0.42037319522208116,"score_spread":0.19554850288700998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886835274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80825573,0.00007969616,0.18661529,0.0017999207,0.00031071962,0.002450365,0.00022823372,0.00005882027,0.00020119784],"genre_scores_gemma":[0.9884803,0.00001250429,0.009098269,0.00021890199,0.0003405489,0.00015836385,0.0016844394,0.000006075432,5.675698e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979671,0.0004293515,0.00043153836,0.00047648532,0.00047339158,0.00022208119],"domain_scores_gemma":[0.9985334,0.000046481,0.00010188349,0.000745141,0.0004085727,0.00016449387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036268802,0.00011619371,0.00032800587,0.000056717992,0.00007649438,0.000010363875,0.00015129354,0.0000727147,0.00017747366],"category_scores_gemma":[0.00024474156,0.000095668656,0.00012964071,0.00012793277,0.000070248345,0.00014127386,0.00006368726,0.000103915925,0.0000029111795],"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":[0.0049279607,0.030498093,0.36648628,0.0035690793,0.0015821866,0.000010822707,0.0004528201,0.00019299795,0.3685086,0.0046441834,0.010017315,0.20910966],"study_design_scores_gemma":[0.0018744075,0.0007439381,0.9899159,0.00009287703,0.00021346174,0.000004152605,0.00002654501,0.003906754,0.0006216666,0.0024047086,0.00009881561,0.00009675816],"about_ca_topic_score_codex":0.000030812662,"about_ca_topic_score_gemma":0.000026790869,"teacher_disagreement_score":0.62342966,"about_ca_system_score_codex":0.00020535877,"about_ca_system_score_gemma":0.00015843868,"threshold_uncertainty_score":0.39012545},"labels":[],"label_agreement":null},{"id":"W2890040152","doi":"10.1088/1361-6579/aae2a8","title":"Symbolic dynamics to enhance diagnostic ability of portable oximetry from the Phone Oximeter in the detection of paediatric sleep apnoea","year":2018,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"European Regional Development Fund; Junta de Castilla y León; Ministerio de Economía y Competitividad; Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España; Consejería de Educación, Junta de Castilla y León; Sociedad Española de Neumología y Cirugía Torácica; Ministerio de Educación, Cultura y Deporte","keywords":"Logistic regression; Pulse oximetry; Polysomnography; Medicine; Context (archaeology); Receiver operating characteristic; Statistics; Apnea; Internal medicine; Mathematics; Anesthesia","score_opus":0.037900337129120595,"score_gpt":0.30390290647890567,"score_spread":0.26600256934978506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890040152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99437743,0.00040824412,0.0033735682,0.00040194413,0.00014921866,0.0011047627,0.000021928186,0.000013436446,0.00014947576],"genre_scores_gemma":[0.9991563,0.000012834662,0.00024671445,0.00019262834,0.0002542512,0.0001197851,0.000006469767,0.000010051946,9.5355756e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9972654,0.0004839243,0.00047887652,0.00038392562,0.0010566645,0.0003312061],"domain_scores_gemma":[0.9975823,0.0010109479,0.00014753648,0.0006681047,0.00050988945,0.00008117578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016203751,0.00016489944,0.00040861795,0.00007522954,0.00006447052,0.0000069499206,0.0003512366,0.00009193828,0.00011942577],"category_scores_gemma":[0.0046154917,0.00008432289,0.00012681389,0.0008632117,0.00031488715,0.000036625246,0.00013028798,0.0003283771,0.00003738493],"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":[0.00041306682,0.00084961735,0.03892075,0.000054879325,0.00007847175,0.0000022833394,0.0003185772,0.000018001261,0.9231413,0.000024276296,0.000020320134,0.03615848],"study_design_scores_gemma":[0.00035199182,0.0008533673,0.78890777,0.000022739267,0.000064668464,0.0000010459507,0.00023008227,0.00062857073,0.20797725,0.0008752553,0.000010851348,0.000076422766],"about_ca_topic_score_codex":0.00057342806,"about_ca_topic_score_gemma":0.00019524751,"teacher_disagreement_score":0.749987,"about_ca_system_score_codex":0.00025055933,"about_ca_system_score_gemma":0.000020980622,"threshold_uncertainty_score":0.5525508},"labels":[],"label_agreement":null},{"id":"W2896125695","doi":"10.1088/1361-6579/aae9fd","title":"Reproducibility of dynamic cerebral autoregulation parameters: a multi-centre, multi-method study","year":2018,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","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":"McGill University","funders":"Engineering and Physical Sciences Research Council","keywords":"Reproducibility; Intraclass correlation; Cerebral autoregulation; Autoregulation; Coefficient of variation; Correlation coefficient; Cerebral blood flow; Medicine; Reliability (semiconductor); Mathematics; Statistics; Biomedical engineering; Blood pressure; Internal medicine; Physics","score_opus":0.18004842458240783,"score_gpt":0.3668062865907657,"score_spread":0.18675786200835787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896125695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99300396,0.000086758264,0.0048943986,0.0001369504,0.00027032636,0.0014753856,0.000005154254,0.00009937747,0.000027688175],"genre_scores_gemma":[0.9625229,0.0000012698029,0.03719461,0.00010640839,0.000069353766,0.00004212781,0.0000069608923,0.000011754039,0.000044578985],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.996609,0.0006409494,0.00056820334,0.001297207,0.00062608643,0.00025860706],"domain_scores_gemma":[0.99765235,0.00006707782,0.00020283282,0.0015756432,0.00039682238,0.00010528698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030005313,0.00021258385,0.0005623304,0.000044875178,0.00008531196,0.000008784479,0.00014554398,0.00007577739,0.0000800418],"category_scores_gemma":[0.0021653527,0.00014316542,0.00022937766,0.000203101,0.00022712258,0.000054166037,0.00006692896,0.00016141047,0.000022264781],"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":[0.0031619098,0.045388613,0.253882,0.0006963082,0.001548154,0.000016738957,0.0050871437,0.00008418775,0.5788057,0.00012152862,0.0003304828,0.110877246],"study_design_scores_gemma":[0.0030286566,0.0018617491,0.9695533,0.00008458114,0.00016157047,0.0000034380942,0.00028570803,0.0041483333,0.020543681,0.00017013098,0.00001604107,0.00014280458],"about_ca_topic_score_codex":0.00004906207,"about_ca_topic_score_gemma":0.00003350342,"teacher_disagreement_score":0.7156713,"about_ca_system_score_codex":0.00010579165,"about_ca_system_score_gemma":0.00003487905,"threshold_uncertainty_score":0.58381164},"labels":[],"label_agreement":null},{"id":"W2898640952","doi":"10.1088/1361-6579/aaedc6","title":"Self-identified gadolinium toxicity: comparison of gadolinium in bone and urine to healthy gadolinium-based contrast agent exposed volunteers","year":2018,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gadolinium; Urine; Medicine; Toxicity; Nuclear medicine; Excretion; Urology; Internal medicine; Chemistry","score_opus":0.07640111333934574,"score_gpt":0.28084510454350553,"score_spread":0.2044439912041598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898640952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976421,0.0004155088,0.00017137999,0.0006316533,0.00020728014,0.00044133727,0.000044254994,0.000047996222,0.0003985147],"genre_scores_gemma":[0.99800634,0.000029880883,0.0008186709,0.0008569847,0.00019156006,0.000010653298,0.0000710368,0.0000044788967,0.000010396431],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970011,0.00023170262,0.00086903694,0.0006094955,0.00070947857,0.0005791874],"domain_scores_gemma":[0.99882305,0.00008379088,0.00021733229,0.00028894804,0.00021076381,0.0003761305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011051891,0.00028511105,0.00073450524,0.000121457895,0.00015390894,0.000031271647,0.00023155478,0.00011196726,0.0008776316],"category_scores_gemma":[0.00014569737,0.00022553939,0.00013145994,0.0003984311,0.00019692148,0.00006031878,0.00004398267,0.00020874823,0.00009962679],"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":[0.0049668187,0.0035061662,0.6009262,0.00077116344,0.00028378458,0.000023049814,0.0015302459,0.006591546,0.36774394,0.000018613975,0.0027753864,0.010863089],"study_design_scores_gemma":[0.0023816908,0.0033529184,0.84361863,0.00014894239,0.00009316129,0.0000026196878,0.0009013474,0.022640385,0.12539649,0.00017190409,0.0007425683,0.0005493389],"about_ca_topic_score_codex":0.00079907593,"about_ca_topic_score_gemma":0.0023029344,"teacher_disagreement_score":0.24269244,"about_ca_system_score_codex":0.000039094208,"about_ca_system_score_gemma":0.00006421705,"threshold_uncertainty_score":0.96094507},"labels":[],"label_agreement":null},{"id":"W2905045261","doi":"10.1088/1361-6579/ac010e","title":"Machine learning model on heart rate variability metrics identifies asymptomatic toddlers exposed to zika virus during pregnancy","year":2021,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Mosquito-borne diseases and control","field":"Medicine","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":"Ottawa Hospital; University of Ottawa","funders":"Institute of Human Development, Child and Youth Health; Ministério da Saúde; Canadian Institutes of Health Research; Conselho Nacional de Desenvolvimento Científico e Tecnológico; University of Washington","keywords":"Zika virus; Microcephaly; Asymptomatic; Medicine; Heart rate variability; Pediatrics; Pregnancy; False positive rate; Internal medicine; Heart rate; Biology; Virus; Immunology; Artificial intelligence; Computer science","score_opus":0.0809270486656608,"score_gpt":0.2873562246094403,"score_spread":0.20642917594377952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905045261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942896,0.0013687373,0.0018488998,0.0007737163,0.00015975811,0.0008493777,0.000015387988,0.00017566775,0.0005188609],"genre_scores_gemma":[0.9980995,0.000079359794,0.00042732092,0.000809586,0.000093960014,0.00020950787,0.000022142287,0.000023583709,0.00023503022],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99701846,0.00045871836,0.00046467193,0.00073215796,0.0008557487,0.00047024604],"domain_scores_gemma":[0.9984662,0.00011873375,0.00009380372,0.0005584365,0.00039421555,0.00036863852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059031585,0.00029400902,0.00064101233,0.00008333236,0.00020214799,0.000054381948,0.00013448687,0.00008755854,0.00026220403],"category_scores_gemma":[0.002751083,0.00022164978,0.0003039992,0.00040338482,0.000032220116,0.000058236288,0.00013288257,0.0003197081,0.00008594697],"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":[0.00059232063,0.0012188768,0.0011996143,0.00032459418,0.00016989968,0.00005140381,0.00008345288,0.012607085,0.98116374,0.00014610984,0.00010285256,0.0023400325],"study_design_scores_gemma":[0.007449905,0.002346713,0.54174846,0.0021822958,0.0007950817,0.000018661241,0.00020865563,0.11851552,0.32160473,0.0037593553,0.00021451637,0.0011561175],"about_ca_topic_score_codex":0.000011319303,"about_ca_topic_score_gemma":0.0000037761492,"teacher_disagreement_score":0.659559,"about_ca_system_score_codex":0.00028686802,"about_ca_system_score_gemma":0.00010903975,"threshold_uncertainty_score":0.9038616},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8115803,0.004303641,0.18058689,0.00013502256,0.0002928117,0.001489489,0.0000057522407,0.0007311134,0.00087497674],"genre_scores_gemma":[0.9819283,0.000044453078,0.017658321,0.00013936547,0.00006097473,0.0001333628,0.000010888897,0.000019839847,0.000004534574],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998634,0.00010513916,0.00027130873,0.00033556772,0.00023248326,0.0004215483],"domain_scores_gemma":[0.9993681,0.00016876955,0.000043046184,0.00020166725,0.000100843296,0.00011761787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047606617,0.00022780371,0.00041063607,0.000091945,0.00007958819,0.000031479965,0.00016443107,0.0001081066,0.00001336633],"category_scores_gemma":[0.00004645181,0.00017320133,0.00016630294,0.0004339825,0.000049016755,0.000049914226,0.000020574169,0.00019085857,0.00000625775],"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":[0.00015814569,0.00021475481,0.020389175,0.00028533852,0.00014289208,4.777738e-7,0.000017132808,0.0046022516,0.8948219,0.0044737444,0.0004103513,0.07448387],"study_design_scores_gemma":[0.0016810808,0.00112109,0.1261161,0.00008545415,0.000075573946,0.0000018009046,0.0000055054643,0.73974746,0.113384,0.01501786,0.0019904233,0.00077365915],"about_ca_topic_score_codex":0.0000029718158,"about_ca_topic_score_gemma":0.0000011169656,"teacher_disagreement_score":0.7814379,"about_ca_system_score_codex":0.000057031844,"about_ca_system_score_gemma":0.000010712684,"threshold_uncertainty_score":0.70629454},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99800944,0.0008996591,0.0007147333,0.000009342166,0.000020595495,0.00019240206,0.000004253049,0.00004232094,0.00010723444],"genre_scores_gemma":[0.99948287,0.000027832819,0.00044629263,0.000011676103,0.000010107591,0.000010388739,0.0000026499677,0.000007727874,4.7593704e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897254,0.000042461106,0.00028653166,0.0001809212,0.00032654274,0.00019102999],"domain_scores_gemma":[0.99965745,0.00002104073,0.000045595007,0.00013375151,0.00008884231,0.000053305143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020147064,0.00013228942,0.0003567115,0.00007198249,0.000012648502,0.0000043845034,0.000111011475,0.000069885114,0.000015395004],"category_scores_gemma":[0.000019658572,0.000097796576,0.000052503852,0.00019475364,0.00003621688,0.000045959812,0.00002333319,0.00012574963,8.473663e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010980867,0.00020870792,0.041284323,0.00019861433,0.000007484393,1.4745537e-7,0.0000493337,0.07900185,0.877506,0.000022946952,0.000018724755,0.0015920348],"study_design_scores_gemma":[0.00039130624,0.0006555221,0.1745416,0.00008211401,0.000008864078,8.534947e-8,0.000010680635,0.66496116,0.15910807,0.00010376496,0.0000038771745,0.00013296725],"about_ca_topic_score_codex":0.000008835493,"about_ca_topic_score_gemma":0.000010092377,"teacher_disagreement_score":0.718398,"about_ca_system_score_codex":0.0000312894,"about_ca_system_score_gemma":0.000012505165,"threshold_uncertainty_score":0.39880288},"labels":[],"label_agreement":null},{"id":"W2943369092","doi":"10.1088/1361-6579/ab1d90","title":"Detection of pulmonary oedema by electrical impedance tomography: validation of previously proposed approaches in a clinical setting","year":2019,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Respiratory Support and Mechanisms","field":"Medicine","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":"Supine position; Electrical impedance tomography; Medicine; Nuclear medicine; Population; Radiology; Lung; Cardiology; Anesthesia; Internal medicine; Tomography","score_opus":0.10764598744703681,"score_gpt":0.30523789219882796,"score_spread":0.19759190475179117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943369092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974306,0.0003947035,0.00057273416,0.00003769037,0.000068720066,0.0012071484,0.0000015056837,0.000026622622,0.00026024526],"genre_scores_gemma":[0.9994475,0.000025589918,0.00035492374,0.000050209044,0.000047241145,0.000043063603,0.000012153269,0.000010253609,0.000009034228],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99773437,0.00027933388,0.0008048345,0.00037584212,0.00055694673,0.00024867745],"domain_scores_gemma":[0.99914527,0.000052181804,0.00032352092,0.000240427,0.00015206292,0.00008651462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016951817,0.00014834951,0.00056063524,0.000083380255,0.000016136899,0.000002739312,0.00009273366,0.0001608271,0.000024181129],"category_scores_gemma":[0.00024838434,0.00010569405,0.00021681727,0.00029281937,0.00005462109,0.000053367086,0.000030032497,0.00023800912,0.000005247982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005814037,0.00089646305,0.05963931,0.00020331843,0.000037753307,0.0000017524667,0.000024444644,0.0000081115395,0.9016133,0.000030210795,0.000012891381,0.03695106],"study_design_scores_gemma":[0.0011791177,0.0029224767,0.18058921,0.0001669772,0.000055932498,0.000004509181,0.000057114594,0.0014776257,0.81304413,0.00028552004,0.000081142236,0.00013623614],"about_ca_topic_score_codex":0.000006540632,"about_ca_topic_score_gemma":5.6680705e-7,"teacher_disagreement_score":0.12094991,"about_ca_system_score_codex":0.000048588114,"about_ca_system_score_gemma":0.000076944496,"threshold_uncertainty_score":0.43100786},"labels":[],"label_agreement":null},{"id":"W2945703677","doi":"10.1088/1361-6579/ab225a","title":"Evaluation of the signal quality of wrist-based photoplethysmography","year":2019,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":46,"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; University of Ottawa","keywords":"Photoplethysmogram; Wrist; Wearable computer; Gold standard (test); SIGNAL (programming language); Ambulatory; Medicine; Continuous monitoring; Computer science; Artificial intelligence; Pattern recognition (psychology); Computer vision; Surgery; Radiology; Engineering; Embedded system","score_opus":0.142303397231153,"score_gpt":0.2912295678548331,"score_spread":0.1489261706236801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945703677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99764866,0.00024079719,0.00046215559,0.000006944407,0.00026778877,0.000488892,0.0000060794664,0.000035679193,0.00084301084],"genre_scores_gemma":[0.9997757,0.0000019193735,0.00012466063,0.000009069292,0.000035192894,0.000043458156,0.0000012120745,0.000008382692,4.0611923e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975705,0.0003318881,0.00031998538,0.00014537771,0.0014863159,0.00014589915],"domain_scores_gemma":[0.9990156,0.000075467375,0.00010693586,0.0002780458,0.0004951244,0.000028770508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002020454,0.0001183458,0.00023379513,0.00003128904,0.00001947498,0.0000033859083,0.00020484826,0.000053568983,0.000119295306],"category_scores_gemma":[0.00014312126,0.00007653569,0.0001867513,0.00021893116,0.000056218956,0.000029233763,0.000028972021,0.00010960339,0.0000076106376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013112147,0.00007326647,0.008831516,0.00009427081,0.00004540403,1.7095337e-8,0.000015508185,0.026229832,0.96359646,0.00005358828,0.000016369328,0.0010306815],"study_design_scores_gemma":[0.00041986525,0.0000782889,0.22234735,0.00006223448,0.000032803622,2.6466243e-8,0.000017801567,0.0010635844,0.77448434,0.0014017917,0.000004498855,0.00008743707],"about_ca_topic_score_codex":0.00002151619,"about_ca_topic_score_gemma":0.0000024272392,"teacher_disagreement_score":0.21351583,"about_ca_system_score_codex":0.0001272081,"about_ca_system_score_gemma":0.000038120368,"threshold_uncertainty_score":0.31210348},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987685,0.0006661069,0.00001018632,0.000019917843,0.00003876132,0.0002899251,0.000004338046,0.000060714086,0.00014152998],"genre_scores_gemma":[0.9991758,0.0003574182,0.00036040274,0.00005387833,0.000014355058,0.000028641163,0.0000013485683,0.0000075712182,6.267512e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985354,0.00008631639,0.00041352882,0.00031715506,0.00033409506,0.00031351764],"domain_scores_gemma":[0.99949694,0.00009899889,0.00009733858,0.00016543524,0.00007835761,0.000062954925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024219321,0.00020325091,0.00046957037,0.00015065407,0.00001618527,0.000004627834,0.00014629088,0.00012596595,0.000009336003],"category_scores_gemma":[0.00009472948,0.00014337526,0.00012698228,0.0006284277,0.00014023378,0.00006299253,0.00002254803,0.00028054297,0.0000033536483],"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":[0.000121613775,0.00013415203,0.010978906,0.00015053024,0.0000382315,6.3800553e-7,0.000020886539,0.011192504,0.9657073,0.0001976431,0.00004171835,0.011415855],"study_design_scores_gemma":[0.0006132423,0.0019376889,0.7675248,0.0002993537,0.000015194739,0.0000031871077,0.00001531915,0.0038157778,0.22204097,0.003398995,0.000016179847,0.0003193133],"about_ca_topic_score_codex":0.000011764991,"about_ca_topic_score_gemma":0.0000010093859,"teacher_disagreement_score":0.7565459,"about_ca_system_score_codex":0.00003616453,"about_ca_system_score_gemma":0.000007697696,"threshold_uncertainty_score":0.5846673},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932323,0.0032634272,0.000050600815,0.00040754862,0.00024471158,0.00035818646,0.0000035869489,0.000078958736,0.0023606436],"genre_scores_gemma":[0.99791366,0.0013824635,0.00040001093,0.000093851515,0.00007796794,0.000105161045,0.0000036226538,0.000009822157,0.0000134448555],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985228,0.000114245995,0.00029368108,0.0003746373,0.00030031466,0.0003943325],"domain_scores_gemma":[0.99959797,0.00005370828,0.00004393353,0.00016334905,0.000046291396,0.00009474859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003265203,0.00022356749,0.0003165083,0.000096080774,0.000050989438,0.000051769646,0.00014900931,0.00009984815,0.00029116223],"category_scores_gemma":[0.000039004804,0.0001622067,0.000070496164,0.0004387872,0.000058781447,0.00010104714,0.000057439345,0.0002797262,0.000108016844],"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":[0.0002037633,0.0012526477,0.055772293,0.00082508137,0.00020729222,0.000010622494,0.0021946593,0.0008580849,0.50342786,0.003275466,0.0014006444,0.43057162],"study_design_scores_gemma":[0.0012697079,0.0021410624,0.94392157,0.0011895061,0.000066477514,0.0000059349723,0.0015447405,0.012459193,0.0196861,0.0042123585,0.011813256,0.0016900764],"about_ca_topic_score_codex":0.000018802264,"about_ca_topic_score_gemma":0.000002846837,"teacher_disagreement_score":0.8881493,"about_ca_system_score_codex":0.00007499265,"about_ca_system_score_gemma":0.000011756694,"threshold_uncertainty_score":0.66145974},"labels":[],"label_agreement":null},{"id":"W2949689625","doi":"10.1088/1361-6579/ab21ae","title":"Vagal contributions to fetal heart rate variability: an omics approach","year":2019,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal; Ottawa Hospital; University of Ottawa","funders":"Institute of Human Development, Child and Youth Health; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Molly Towell Perinatal Research Foundation","keywords":"Heart rate variability; Omics; Anticholinergic; Fetal heart rate; In utero; Vagal tone","score_opus":0.0621906309197957,"score_gpt":0.3003455605782515,"score_spread":0.2381549296584558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949689625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852319,0.000019410238,0.0058428342,0.004407975,0.00027774437,0.0023609998,0.000059775026,0.00017270376,0.0016267096],"genre_scores_gemma":[0.9949479,0.0000015273431,0.001982493,0.0024991527,0.0002900462,0.00014350277,0.00005451882,0.000013351146,0.00006747533],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99748355,0.00052820815,0.00042570668,0.00069594826,0.00036623303,0.00050033914],"domain_scores_gemma":[0.99827564,0.00010559501,0.000045324818,0.000672307,0.00042255092,0.00047855568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00304619,0.00023194082,0.0006591657,0.00004490011,0.000107861466,0.000033131153,0.00013401893,0.00015796049,0.00031972257],"category_scores_gemma":[0.00084007264,0.00017012097,0.00019338181,0.00017976914,0.000064886066,0.00008790244,0.00007971753,0.00034296076,0.00055658043],"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":[0.0002429748,0.0014460438,0.0010438305,0.000043373682,0.00006983249,0.0000010342037,0.000059597813,0.00051037123,0.9924578,0.0026911085,0.0001956196,0.001238408],"study_design_scores_gemma":[0.008458681,0.0062236665,0.8501724,0.00011172688,0.0003125824,0.00003678087,0.00023115778,0.038688377,0.03295067,0.008236726,0.05336377,0.0012134343],"about_ca_topic_score_codex":0.000032835993,"about_ca_topic_score_gemma":0.0000013411001,"teacher_disagreement_score":0.9595071,"about_ca_system_score_codex":0.0004837539,"about_ca_system_score_gemma":0.00029710642,"threshold_uncertainty_score":0.71539015},"labels":[],"label_agreement":null},{"id":"W2964153462","doi":"10.1088/1361-6579/aa5070","title":"Heart beat classification from single-lead ECG using the synchrosqueezing transform","year":2017,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":88,"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; Ottawa Hospital","funders":"","keywords":"Beat (acoustics); Support vector machine; Ambulatory ECG; Artificial intelligence; Computer science; Heart rate variability; Rhythm; Electrocardiography; Pattern recognition (psychology); Signal processing; Speech recognition; Heart rate; Cardiology; Medicine; Internal medicine; Digital signal processing","score_opus":0.36918158420407415,"score_gpt":0.35870315541085485,"score_spread":0.010478428793219308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964153462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880195,0.00036328763,0.0053058756,0.004739015,0.00025477243,0.00027366125,0.000004200548,0.000073812036,0.0009658607],"genre_scores_gemma":[0.99649715,0.000023550669,0.002537726,0.0001603666,0.00071536796,0.000019580928,0.000007994617,0.000011497629,0.00002675414],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985945,0.00007193613,0.0002361792,0.00032554645,0.0005270894,0.00024472488],"domain_scores_gemma":[0.9989257,0.000037054164,0.000120785895,0.0006605495,0.00016560627,0.00009030418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040363532,0.00015710345,0.00031374264,0.000021966222,0.00070914195,0.000091902664,0.00020874316,0.0000851342,0.000032902175],"category_scores_gemma":[0.00023840416,0.000088098626,0.00021199865,0.00004887772,0.00014742321,0.00007780395,0.000034761637,0.00022335598,0.000026111711],"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":[0.000048669808,0.00018966176,0.006162414,0.000013781775,0.000098721444,0.000002154181,0.000042841195,0.000023181849,0.96802926,0.000008508066,0.000097923425,0.025282877],"study_design_scores_gemma":[0.0015791645,0.0006153043,0.6667123,0.00080055714,0.0009927022,0.000009337859,0.00061601296,0.07463733,0.24961795,0.0018121375,0.00211329,0.00049395085],"about_ca_topic_score_codex":0.0002865688,"about_ca_topic_score_gemma":0.000010482791,"teacher_disagreement_score":0.7184113,"about_ca_system_score_codex":0.00022277975,"about_ca_system_score_gemma":0.000031417774,"threshold_uncertainty_score":0.54542184},"labels":[],"label_agreement":null},{"id":"W2969475725","doi":"10.1088/1361-6579/ab3c0e","title":"<i>Ex vivo</i> quantification of lanthanum and gadolinium in post-mortem human tibiae with estimated barium and iodine concentrations using K x-ray fluorescence","year":2019,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","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":"Mount Sinai Hospital; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Barium; Bone mineral; Iodine; Chemistry; Radiochemistry; Lanthanum; Gadolinium; Lanthanum carbonate; Nuclear medicine; Analytical Chemistry (journal); Mineralogy; Calcium; Medicine; Chromatography; Osteoporosis; Internal medicine; Inorganic chemistry","score_opus":0.054685170591107495,"score_gpt":0.2888792499863999,"score_spread":0.2341940793952924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969475725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979377,0.00007647315,0.0014146015,0.000060565886,0.000023293647,0.00032385925,0.000025316076,0.000013684551,0.00012454699],"genre_scores_gemma":[0.9990785,0.000009216032,0.00079748884,0.000017083483,0.00003469995,0.000009584013,0.00004039417,0.0000071030863,0.000005939933],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987846,0.000074638134,0.00029925202,0.0003652375,0.00024637784,0.00022988436],"domain_scores_gemma":[0.9993712,0.000023770666,0.00015606348,0.00020204735,0.00017846475,0.00006848556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023428482,0.00016760748,0.00033394093,0.00004951237,0.00008342775,0.000030560284,0.000092518865,0.000038958704,0.000102603415],"category_scores_gemma":[0.0000085893835,0.00012280435,0.00003887467,0.00018703219,0.00014725412,0.000116754185,0.000033341363,0.00012899861,0.0000045594543],"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":[0.000060137434,0.0002048605,0.12137257,0.000023538169,0.000044645672,4.5092077e-7,0.00007630924,0.0007651512,0.875263,0.0021083674,0.0000060823227,0.0000749275],"study_design_scores_gemma":[0.0013614824,0.0005708461,0.80536366,0.00029051525,0.00014407893,7.917432e-7,0.00058210664,0.031251457,0.15954956,0.0004952035,0.00000712182,0.0003831565],"about_ca_topic_score_codex":0.00031892429,"about_ca_topic_score_gemma":0.000026382082,"teacher_disagreement_score":0.7157134,"about_ca_system_score_codex":0.000026591182,"about_ca_system_score_gemma":0.00003992363,"threshold_uncertainty_score":0.5007816},"labels":[],"label_agreement":null},{"id":"W2980678898","doi":"10.1088/1361-6579/ab4f2e","title":"Mid-sagittal plane detection for advanced physiological measurements in brain scans","year":2019,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":5,"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 Institute on Aging; Canadian Institutes of Health Research","keywords":"Sagittal plane; Computer science; Cluster analysis; Gold standard (test); Artificial intelligence; Magnetic resonance imaging; Pattern recognition (psychology); Identification (biology); Computer vision; Medicine; Radiology","score_opus":0.09891803498546567,"score_gpt":0.30407783646830905,"score_spread":0.20515980148284338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980678898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957524,0.0002748908,0.00041683592,0.000264953,0.0003416177,0.0023280163,0.000026613927,0.00011374931,0.00048095433],"genre_scores_gemma":[0.9979208,0.000017670154,0.00056218304,0.00061965955,0.00011767474,0.0005887815,0.00007696843,0.000025927435,0.000070316906],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9973052,0.0001328651,0.00039608844,0.0008009036,0.00075918913,0.0006057545],"domain_scores_gemma":[0.99903625,0.000052349533,0.00012587318,0.0003459848,0.00019790513,0.00024162009],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048063457,0.00035942454,0.000645446,0.000097669545,0.00008600164,0.000015348196,0.00013762125,0.00017037595,0.00017342622],"category_scores_gemma":[0.00027030095,0.00025401148,0.00026485996,0.00019399193,0.000044016524,0.000084965424,0.00005102523,0.00019981588,0.00015518053],"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":[0.0021755937,0.0015415322,0.003920664,0.000107649634,0.00013846694,0.000009054843,0.000018998338,0.00016997111,0.9799599,0.000035739333,0.00014960158,0.01177283],"study_design_scores_gemma":[0.016831202,0.006081458,0.73326236,0.00034199434,0.00014422026,0.000012632942,0.00009183302,0.00058321236,0.23716761,0.002509847,0.002373255,0.0006003538],"about_ca_topic_score_codex":0.000019302748,"about_ca_topic_score_gemma":0.000022376962,"teacher_disagreement_score":0.7427923,"about_ca_system_score_codex":0.000525137,"about_ca_system_score_gemma":0.00006891416,"threshold_uncertainty_score":0.99999124},"labels":[],"label_agreement":null},{"id":"W2996190508","doi":"10.1088/1361-6579/ab6019","title":"Elemental analysis in living human subjects using biomedical devices","year":2019,"lang":"en","type":"review","venue":"Physiological Measurement","topic":"Radioactivity and Radon Measurements","field":"Health Professions","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":"McMaster University","funders":"","keywords":"Risk analysis (engineering); Elemental analysis; Computer science; Human health; Neutron activation analysis; Systems engineering; Data science; Medicine; Medical physics; Engineering; Environmental health; Chemistry","score_opus":0.5931977282204746,"score_gpt":0.5288671587854489,"score_spread":0.06433056943502569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996190508","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005596692,0.98926127,0.00014106312,0.000013383052,0.0009443259,0.003220967,0.000049611976,0.000115482224,0.00065722223],"genre_scores_gemma":[0.11402105,0.8839073,0.00020212727,0.00018812688,0.0008501351,0.0004939779,0.00018322168,0.00008780593,0.00006623152],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9871417,0.0061446573,0.0021232727,0.0012872345,0.0019204236,0.00138271],"domain_scores_gemma":[0.99674594,0.0007118581,0.0012560368,0.00078426406,0.00018589511,0.00031598675],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006302522,0.0008493344,0.00428832,0.0009993115,0.0007343296,0.000027602247,0.0007821626,0.0010188126,0.0011110096],"category_scores_gemma":[0.00051972165,0.00058558193,0.0012192588,0.002086076,0.00013797214,0.00014536451,0.00042817995,0.0022380052,0.00040769947],"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":[0.00014579794,0.012373155,0.049234405,0.22605224,0.028612819,0.00021160003,0.0019895362,0.00021369554,0.006217966,0.00042937082,0.0045185736,0.67000085],"study_design_scores_gemma":[0.0022578125,0.0008598855,0.05932239,0.13157885,0.021810237,0.000008068566,0.0010985045,0.00049464894,0.000004325168,0.0001061016,0.7784514,0.0040078047],"about_ca_topic_score_codex":0.0003719594,"about_ca_topic_score_gemma":0.00043077505,"teacher_disagreement_score":0.7739328,"about_ca_system_score_codex":0.0029432687,"about_ca_system_score_gemma":0.0007554533,"threshold_uncertainty_score":0.9998021},"labels":[],"label_agreement":null},{"id":"W3001977236","doi":"10.1088/1361-6579/ab6f53","title":"The repeatability of estimated systolic time intervals in healthy subjects using seismocardiogram and electrocardiogram","year":2020,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Repeatability; Medicine; Heart rate; Impedance cardiography; Cardiology; Ventricle; Electrocardiography; Internal medicine; Mathematics; Statistics; Blood pressure; Stroke volume","score_opus":0.09330563508019683,"score_gpt":0.27185741543986114,"score_spread":0.1785517803596643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3001977236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99429995,0.0026497017,0.0021138904,0.00007322288,0.00008880729,0.00050180405,0.0000033668919,0.00018085845,0.000088408844],"genre_scores_gemma":[0.99931544,0.00012886578,0.00039036246,0.000031666634,0.00007749164,0.000036629288,0.0000014551305,0.000018022578,9.281169e-8],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983652,0.0002571237,0.00039339927,0.0002820859,0.00032822098,0.00037397596],"domain_scores_gemma":[0.99938816,0.00012419061,0.000055523615,0.00021579639,0.00008743006,0.00012887659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007086865,0.00019307183,0.00045029327,0.000034226945,0.000059005797,0.000024172603,0.00016510663,0.00006689528,0.0000015635568],"category_scores_gemma":[0.00039888822,0.00013704361,0.000111718626,0.00038607084,0.00008862888,0.000056531568,0.000083077335,0.00022778404,0.000004406128],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016565179,0.000037465576,0.005745559,0.00024289345,0.00010137906,0.000004728524,0.0000891918,0.010244375,0.9790531,0.000012911094,0.000022155886,0.0042806244],"study_design_scores_gemma":[0.002764625,0.004136955,0.3143667,0.000999113,0.00019421434,0.000031402757,0.0002762543,0.13313752,0.5393652,0.0030510419,0.00019422393,0.0014827803],"about_ca_topic_score_codex":0.00004309064,"about_ca_topic_score_gemma":0.000001783202,"teacher_disagreement_score":0.4396879,"about_ca_system_score_codex":0.00019944548,"about_ca_system_score_gemma":0.00001666732,"threshold_uncertainty_score":0.55884767},"labels":[],"label_agreement":null},{"id":"W3009922857","doi":"10.1088/1361-6579/ab7cb5","title":"A practical approach to storage and retrieval of high-frequency physiological signals","year":2020,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":33,"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; Hospital for Sick Children","funders":"","keywords":"Computer science; Waveform; Search engine indexing; Data compression; Vendor; Database; Computer data storage; Database index; Data mining; Information retrieval; Artificial intelligence; Computer hardware; Telecommunications","score_opus":0.33478635280081076,"score_gpt":0.36541650538818543,"score_spread":0.03063015258737467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009922857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907461,0.00016356487,0.002205407,0.0055848057,0.00006769045,0.0007633473,0.0000064209025,0.00014643357,0.0003162322],"genre_scores_gemma":[0.98638856,0.000022514745,0.011944868,0.0013608804,0.00022795153,0.00003502019,0.000007311141,0.000010197406,0.0000026717396],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99797934,0.00020681568,0.00039895644,0.0005237875,0.00055923685,0.00033186094],"domain_scores_gemma":[0.99892336,0.00007027278,0.00010859825,0.00022727488,0.00024430314,0.0004262157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045122099,0.00019723452,0.00061963836,0.000041421405,0.000067578694,0.000004613167,0.00010704742,0.00024193805,0.000045455523],"category_scores_gemma":[0.0020328735,0.00013388784,0.000079784404,0.00029759825,0.00015647977,0.000040286883,0.00012510506,0.00050092576,0.000028270522],"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":[0.0011459814,0.0008129616,0.0015676449,0.0003240556,0.000088000765,0.000023266228,0.00019425902,0.0000276484,0.9904927,0.0026708252,0.0011327867,0.0015198407],"study_design_scores_gemma":[0.004712988,0.028319852,0.81409305,0.0005130897,0.00033279252,0.00007088555,0.0007387981,0.00074772054,0.14389627,0.0049641565,0.0005726562,0.0010377497],"about_ca_topic_score_codex":0.000016320399,"about_ca_topic_score_gemma":1.1824673e-7,"teacher_disagreement_score":0.8465965,"about_ca_system_score_codex":0.000071650735,"about_ca_system_score_gemma":0.00007990567,"threshold_uncertainty_score":0.5459787},"labels":[],"label_agreement":null},{"id":"W3014169856","doi":"10.1088/1361-6579/ab87b2","title":"Investigating the estimation of cardiac time intervals using gyrocardiography","year":2020,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Academy of Finland","keywords":"Computer science; Estimation; Engineering","score_opus":0.09641866178894495,"score_gpt":0.24932459401089885,"score_spread":0.1529059322219539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014169856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870248,0.0008883213,0.010792317,0.000075867756,0.00022394586,0.0003450448,0.000007222554,0.00022308218,0.00041938908],"genre_scores_gemma":[0.99658245,0.000011386064,0.003103259,0.000048605845,0.00021622973,0.000019359715,0.0000019592635,0.000016608523,1.1903155e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988871,0.00010885201,0.00026546596,0.0001602002,0.00039261923,0.00018575464],"domain_scores_gemma":[0.9995715,0.00005665632,0.00005838032,0.00014739676,0.00008045022,0.00008560796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029819497,0.00015198278,0.00026724717,0.000024315364,0.000058055703,0.000017595456,0.00018009487,0.000044000593,0.00000887093],"category_scores_gemma":[0.00023993141,0.0001040951,0.00018520106,0.00028774372,0.000072421135,0.0000751852,0.00006667563,0.00014781828,0.000020899293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018506613,0.0000057187126,0.00045069368,0.000059900012,0.00008893331,1.6200076e-7,0.00013094017,0.097595856,0.89908606,0.000015925982,0.00014588305,0.002418064],"study_design_scores_gemma":[0.00017341864,0.0001899974,0.014852948,0.00024392125,0.00010677926,6.276886e-7,0.000113036025,0.09011893,0.8921375,0.001644078,0.00005979499,0.00035892398],"about_ca_topic_score_codex":0.000005722727,"about_ca_topic_score_gemma":3.336337e-8,"teacher_disagreement_score":0.0144022545,"about_ca_system_score_codex":0.00006061552,"about_ca_system_score_gemma":0.000008826249,"threshold_uncertainty_score":0.4244875},"labels":[],"label_agreement":null},{"id":"W3014547703","doi":"10.1088/1361-6579/ab8770","title":"Automatic heart sound classification from segmented/unsegmented phonocardiogram signals using time and frequency features","year":2020,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Phonocardiogram; Heart sounds; Sound (geography); Computer science; Bioacoustics; Speech recognition; Pattern recognition (psychology); Acoustics; Artificial intelligence; Medicine; Telecommunications; Physics; Cardiology","score_opus":0.13373760191818868,"score_gpt":0.3063442817546753,"score_spread":0.17260667983648664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014547703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918341,0.001600023,0.00366097,0.0011535616,0.00004176984,0.0009296871,0.000036188627,0.00054262026,0.00020107545],"genre_scores_gemma":[0.98820126,0.00007149168,0.009592633,0.0017827059,0.0001768219,0.00006605261,0.00009013673,0.000017354549,0.0000015716496],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99810386,0.00021287115,0.00036043517,0.0005041881,0.0005675106,0.0002511562],"domain_scores_gemma":[0.9991599,0.000047391877,0.00012808849,0.00021156052,0.00019307518,0.00025998437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002708836,0.00025314407,0.00054035644,0.00006895425,0.00013563539,0.00004570848,0.00008784012,0.00012739727,0.0001400082],"category_scores_gemma":[0.00015688084,0.0001915712,0.00025597578,0.00033167464,0.00012218868,0.00009741591,0.000040817195,0.00022367705,0.000032587042],"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":[0.00009631633,0.00014545557,0.0015183823,0.000044619173,0.00028907743,0.000004314019,0.00013186705,0.000013297987,0.9929482,0.000010406288,0.001152971,0.0036451016],"study_design_scores_gemma":[0.0028407124,0.0022502916,0.779306,0.0005493713,0.0008718579,0.000029279432,0.00035093265,0.014142846,0.1917777,0.0068743187,0.00021290542,0.0007937778],"about_ca_topic_score_codex":0.000048068036,"about_ca_topic_score_gemma":4.1967328e-7,"teacher_disagreement_score":0.80117047,"about_ca_system_score_codex":0.00008826638,"about_ca_system_score_gemma":0.00003619754,"threshold_uncertainty_score":0.7812047},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9311714,0.0073737884,0.05117804,0.0024314458,0.00031672968,0.0030375323,0.00004897581,0.003153698,0.0012883623],"genre_scores_gemma":[0.99630874,0.00008023347,0.0025003217,0.00047668975,0.00032946694,0.0002684084,0.000013937894,0.000021835045,3.478332e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984035,0.000038896316,0.000351706,0.00036145063,0.00032916095,0.0005152713],"domain_scores_gemma":[0.9995891,0.000036895686,0.000038412858,0.000107050204,0.000088274435,0.00014025974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021467157,0.00024241892,0.0003261962,0.000098851764,0.000051652158,0.000023869412,0.00022163424,0.00008229216,0.000013256373],"category_scores_gemma":[0.000079838755,0.00019371098,0.00021255751,0.0007589913,0.000037937574,0.00007688576,0.000025025762,0.00024609352,0.0000051007546],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048880617,0.0004023568,0.021534188,0.0002415361,0.00006612519,0.000013211552,0.0001129373,0.000925502,0.6838746,0.0011795551,0.0069615995,0.28419957],"study_design_scores_gemma":[0.0035992963,0.0041029397,0.15586571,0.00024859948,0.00011617604,0.0000068759446,0.000054183107,0.27709964,0.4976061,0.029464258,0.028418718,0.0034175264],"about_ca_topic_score_codex":0.000008997772,"about_ca_topic_score_gemma":0.0000091210595,"teacher_disagreement_score":0.28078204,"about_ca_system_score_codex":0.00008092424,"about_ca_system_score_gemma":0.000014818194,"threshold_uncertainty_score":0.78993046},"labels":[],"label_agreement":null},{"id":"W3021959355","doi":"10.1088/1361-6579/ab921f","title":"Investigating coherent normalization and dosimetry for the <sup>241</sup> Am-La K XRF system","year":2020,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Radiation Shielding Materials Analysis","field":"Materials Science","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":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Normalization (sociology); Dosimetry; Physics; Radiochemistry; Computer science; Nuclear medicine; Chemistry; Medicine","score_opus":0.10042923954769764,"score_gpt":0.2647357820820992,"score_spread":0.16430654253440155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021959355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819157,0.00024200733,0.01598701,0.00092851464,0.00009184358,0.0005838927,0.00002254676,0.00014956856,0.0000789008],"genre_scores_gemma":[0.9980363,0.000013708092,0.00089421216,0.0006011134,0.00027556022,0.00015803697,0.000007813641,0.000011272538,0.0000019857423],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982644,0.00033070674,0.00037173516,0.00036132935,0.00045657318,0.00021529275],"domain_scores_gemma":[0.9991896,0.00018701587,0.00020012294,0.00016950014,0.00012927681,0.00012445607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012129382,0.00015934509,0.00028016113,0.000017966626,0.00028727268,0.00019362732,0.00022493617,0.000067282475,0.000085713305],"category_scores_gemma":[0.00080020615,0.00009477734,0.00006946043,0.00015945447,0.00010053913,0.00009530201,0.0000899471,0.00006362182,0.000032250588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023093653,0.000020851057,0.0002979028,0.0001663435,0.000032610547,2.9638335e-7,0.00031251513,0.018453458,0.9778602,0.0013977952,0.0007438272,0.00069109694],"study_design_scores_gemma":[0.0015714347,0.0005478446,0.024655642,0.00024231317,0.00043140698,0.0000051928864,0.0016779096,0.37210408,0.5952648,0.00065095746,0.0021093842,0.0007390494],"about_ca_topic_score_codex":0.000029786679,"about_ca_topic_score_gemma":7.702838e-7,"teacher_disagreement_score":0.38259542,"about_ca_system_score_codex":0.000072902665,"about_ca_system_score_gemma":0.000024057541,"threshold_uncertainty_score":0.38649076},"labels":[],"label_agreement":null},{"id":"W3034060620","doi":"10.1088/1361-6579/ab998d","title":"A recognition method for extreme bradycardia by arterial blood pressure signal modeling with curve fitting","year":2020,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Non-Invasive Vital Sign Monitoring","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":"Dalhousie University","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Preprocessor; Pattern recognition (psychology); SIGNAL (programming language); Blood pressure; Segmentation; Artificial neural network; Noise (video); Sensitivity (control systems); Artificial intelligence; Pulse (music); Medicine; Mathematics; Cardiology; Speech recognition; Computer science; Internal medicine; Engineering","score_opus":0.1370719148960572,"score_gpt":0.2493434949077364,"score_spread":0.11227158001167922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034060620","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08700633,0.0007900047,0.91025496,0.00007826206,0.0002163151,0.00088860595,0.00011433989,0.00048291966,0.00016823484],"genre_scores_gemma":[0.9624328,0.00000792836,0.03606962,0.00007526398,0.0010443411,0.00028852787,0.000030412477,0.000050387225,7.212642e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99825925,0.00011335592,0.0003067476,0.00045964445,0.00043799105,0.00042303337],"domain_scores_gemma":[0.9993512,0.000090305795,0.00005755362,0.00012701467,0.00018960322,0.00018432063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034580322,0.0003011671,0.0003807757,0.00002110978,0.00010058572,0.000054487613,0.00016122308,0.000107833876,0.00003748416],"category_scores_gemma":[0.00013431822,0.00024437177,0.00013320119,0.00012592226,0.000017053417,0.00014264091,0.000038353224,0.00022562624,0.000009937746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013878032,0.0000513678,0.000017061946,0.00015880565,0.00031561952,0.0000021707713,0.00009416419,0.046545908,0.94853324,0.0000058915157,0.0002823276,0.003854665],"study_design_scores_gemma":[0.0029271138,0.0012082777,0.00008935384,0.00026785428,0.0006914859,0.0000049445384,0.00011055748,0.32984236,0.6619978,0.0015767406,0.00030777525,0.0009757282],"about_ca_topic_score_codex":0.00000589949,"about_ca_topic_score_gemma":6.539886e-7,"teacher_disagreement_score":0.8754265,"about_ca_system_score_codex":0.00003882986,"about_ca_system_score_gemma":0.000015447851,"threshold_uncertainty_score":0.9965191},"labels":[],"label_agreement":null},{"id":"W3035382097","doi":"10.1088/1361-6579/ab9c70","title":"A CT perfusion based model predicts outcome in wake-up stroke patients treated with recombinant tissue plasminogen activator","year":2020,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":24,"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":"Penumbra; Medicine; Multivariate statistics; Stroke (engine); Internal medicine; Multivariate analysis; Lasso (programming language); Thrombolysis; Perfusion; Cardiology; Radiology; Ischemia; Machine learning; Computer science; Myocardial infarction","score_opus":0.09042151623112547,"score_gpt":0.2681394638796712,"score_spread":0.1777179476485457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035382097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99500984,0.000023482882,0.0006305335,0.0011741181,0.000067284345,0.001684683,0.000028973813,0.00012734062,0.0012537609],"genre_scores_gemma":[0.99710774,0.000008023852,0.0008356847,0.0015189021,0.00005306339,0.00020418194,0.00007786925,0.00003523057,0.0001592915],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9970131,0.00009452039,0.0005087662,0.00073666725,0.0011472035,0.0004997289],"domain_scores_gemma":[0.9989207,0.000029137562,0.00016279369,0.0003533528,0.00018411115,0.0003499135],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020684017,0.00039494125,0.0006838276,0.00008000444,0.00006151289,0.0000133758695,0.00021059932,0.000084043226,0.00015664003],"category_scores_gemma":[0.0002622339,0.0002501826,0.00010590071,0.00024386775,0.000061718216,0.000069140995,0.00014218818,0.00035284288,0.000059669554],"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":[0.007297437,0.0035632593,0.3968036,0.000429714,0.00026204373,0.00018634081,0.00027055727,0.0030677079,0.5664032,0.000012954398,0.013126324,0.008576851],"study_design_scores_gemma":[0.029669123,0.011049769,0.6471367,0.0006493843,0.0005244943,0.0000047693466,0.00017131619,0.104187705,0.20247166,0.0000135625405,0.0030508179,0.0010707114],"about_ca_topic_score_codex":0.000025470043,"about_ca_topic_score_gemma":0.0000031006907,"teacher_disagreement_score":0.36393157,"about_ca_system_score_codex":0.0004757866,"about_ca_system_score_gemma":0.00007816266,"threshold_uncertainty_score":0.99999505},"labels":[],"label_agreement":null},{"id":"W3042736962","doi":"10.1088/1361-6579/aba6a1","title":"A portable device with low-power consumption for monitoring mouse vital signs during <i>in vivo</i> photoacoustic imaging and photothermal therapy","year":2020,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Photoacoustic and Ultrasonic Imaging","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":"Tellabs (Canada)","funders":"Institute for Information and Communications Technology Promotion; Ministry of Science and ICT, South Korea; Pukyong National University","keywords":"Vital signs; Photothermal therapy; Power consumption; Photoacoustic imaging in biomedicine; Biomedical engineering; In vivo; Oxygen saturation; Photoplethysmogram; Materials science; Oxygen; Medicine; Chemistry; Nanotechnology; Anesthesia; Biology; Computer science; Power (physics)","score_opus":0.03530132647469174,"score_gpt":0.22447504518856942,"score_spread":0.18917371871387767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042736962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98954684,0.0008031516,0.008552528,0.000027724407,0.00007846583,0.0006561412,0.000025388368,0.00023951844,0.000070229355],"genre_scores_gemma":[0.99884194,0.00010393658,0.0005557821,0.00013698562,0.000092742026,0.0002179748,0.0000022706308,0.000045501885,0.000002881649],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99862427,0.000024090741,0.00024421673,0.00036384448,0.0002673329,0.00047622307],"domain_scores_gemma":[0.99958295,0.000052391984,0.000044264314,0.00011478527,0.00006347913,0.00014214625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015815403,0.00027396897,0.00029994902,0.000034681467,0.000094138995,0.000046871908,0.00010657528,0.000044163324,0.000041373936],"category_scores_gemma":[0.0000362116,0.00022028394,0.00004467284,0.00010434445,0.000052248975,0.00015633988,0.000020595984,0.0001934854,0.0000025691768],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020012914,0.000057371064,0.0029513622,0.0001875237,0.00003958801,0.00001129788,0.0002663192,0.014382524,0.9817107,0.0000013341156,0.000036167523,0.00015572472],"study_design_scores_gemma":[0.002883802,0.00018735896,0.009144221,0.00021946928,0.000029846442,0.000011151518,0.00038221455,0.030022644,0.9565195,0.000015071169,0.000051940613,0.0005327865],"about_ca_topic_score_codex":0.000010205895,"about_ca_topic_score_gemma":0.0000011036043,"teacher_disagreement_score":0.025191164,"about_ca_system_score_codex":0.00012126425,"about_ca_system_score_gemma":0.000018402232,"threshold_uncertainty_score":0.8982918},"labels":[],"label_agreement":null},{"id":"W3046346613","doi":"10.1088/1361-6579/abab1b","title":"Monitoring bronchoalveolar lavage with electrical impedance tomography: first experience in a patient with COVID-19","year":2020,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Respiratory Support and Mechanisms","field":"Medicine","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":"National Key Research and Development Program of China","keywords":"Bronchoalveolar lavage; Coronavirus disease 2019 (COVID-19); Electrical impedance tomography; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Tomography; Computed tomography; Radiology; Pathology; Internal medicine; Infectious disease (medical specialty); Lung","score_opus":0.1325227654847633,"score_gpt":0.30261486424349454,"score_spread":0.17009209875873124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046346613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959572,0.0005785486,0.0016636902,0.0007287273,0.0000344936,0.00077623193,0.000001416954,0.000115616975,0.00014410287],"genre_scores_gemma":[0.995874,0.000038742586,0.001264693,0.002395466,0.000115753835,0.0002896568,0.000002225006,0.00001730015,0.0000021989583],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99774355,0.000067996945,0.00028088698,0.00058531587,0.00086896424,0.0004533071],"domain_scores_gemma":[0.99887836,0.000028060802,0.00009016509,0.00023730657,0.00010913884,0.00065696484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014833722,0.0002560827,0.00041771572,0.000054030887,0.00009845455,0.000016371458,0.00013537859,0.00007503092,0.0000632289],"category_scores_gemma":[0.00019354938,0.00015243409,0.00007791257,0.00042585397,0.00008259609,0.000075530064,0.00004149071,0.00031637933,0.000009928887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007556461,0.0014012182,0.35318777,0.00035047962,0.00016213745,0.002413742,0.0063130404,0.00048361433,0.61641973,0.00011457588,0.00036012955,0.011237126],"study_design_scores_gemma":[0.014577893,0.055006266,0.43228248,0.0010436014,0.00022634768,0.000202688,0.004108735,0.0007386823,0.4525555,0.00021106061,0.037083637,0.001963088],"about_ca_topic_score_codex":0.00003128292,"about_ca_topic_score_gemma":0.000012036975,"teacher_disagreement_score":0.1638642,"about_ca_system_score_codex":0.00022302418,"about_ca_system_score_gemma":0.0001849008,"threshold_uncertainty_score":0.6216082},"labels":[],"label_agreement":null},{"id":"W3093486664","doi":"10.1088/1361-6579/abc4c7","title":"A review of fetal cardiac monitoring, with a focus on low- and middle-income countries","year":2020,"lang":"en","type":"review","venue":"Physiological Measurement","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; Fogarty International Center; National Institutes of Health","keywords":"Context (archaeology); Psychological intervention; Medicine; Resource (disambiguation); Intensive care medicine; Nursing; Computer science","score_opus":0.12699337257894316,"score_gpt":0.33981616576175455,"score_spread":0.2128227931828114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093486664","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012820699,0.9967984,3.9146076e-7,0.00013383245,0.00010493317,0.0023338497,0.0000839744,0.000052951713,0.0003634405],"genre_scores_gemma":[0.0035234464,0.99546325,0.00005453701,0.00009597405,0.00032920935,0.00048063934,0.000008892388,0.000034281114,0.0000097832735],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9973795,0.00021193047,0.0006135467,0.00058734993,0.0009125176,0.00029518685],"domain_scores_gemma":[0.9986625,0.00011210288,0.00023050558,0.0003812712,0.00034528892,0.0002683451],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002813375,0.0005512422,0.0036942184,0.00005113736,0.00006201149,0.000008249093,0.00010547505,0.000111037865,0.000025512174],"category_scores_gemma":[0.00032559776,0.00029955874,0.0005940621,0.00022472383,0.00021709419,0.000020140284,0.00014482893,0.00036391465,0.000047468544],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022237601,0.00018371231,0.00006189272,0.6569417,0.0014502598,0.00006229964,0.00001939811,6.1267036e-9,0.0000046986456,0.000021842885,0.00016910814,0.34086266],"study_design_scores_gemma":[0.00036414686,0.0019850396,0.00084304984,0.7064165,0.0038394143,0.0000139770955,0.000010201323,1.4968482e-7,0.000013344602,0.000016507183,0.2861605,0.0003371814],"about_ca_topic_score_codex":0.000005161291,"about_ca_topic_score_gemma":3.1991434e-7,"teacher_disagreement_score":0.34052548,"about_ca_system_score_codex":0.00022376828,"about_ca_system_score_gemma":0.00026681813,"threshold_uncertainty_score":0.99994564},"labels":[],"label_agreement":null},{"id":"W3113131038","doi":"10.1088/1361-6579/ac1d59","title":"Deep learning based classification of unsegmented phonocardiogram spectrograms leveraging transfer learning","year":2021,"lang":"en","type":"preprint","venue":"Physiological Measurement","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","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":"Artificial Intelligence in Medicine (Canada)","funders":"Nvidia","keywords":"Phonocardiogram; Spectrogram; Computer science; Transfer of learning; Artificial intelligence; Convolutional neural network; Pascal (unit); Pattern recognition (psychology); Deep learning; Artificial neural network; Short-time Fourier transform; Machine learning; Speech recognition; Fourier transform; Fourier analysis","score_opus":0.09480709171404486,"score_gpt":0.2948816983030238,"score_spread":0.20007460658897894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113131038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6308351,0.0028889969,0.36261597,0.00021650581,0.00022746614,0.0015027067,0.000003957663,0.0008198055,0.00088946987],"genre_scores_gemma":[0.9934193,0.00079161907,0.0045463247,0.000095250405,0.00015082753,0.0003724326,0.00057329674,0.000043846252,0.0000070851083],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.995906,0.00075985474,0.00079092965,0.0009268504,0.00117424,0.0004421015],"domain_scores_gemma":[0.99805593,0.00006798259,0.0002835586,0.00048209922,0.0009300047,0.00018044919],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011059907,0.00049839437,0.0012138439,0.0002807485,0.00015684572,0.00005970677,0.00020626573,0.00041945768,0.00009857971],"category_scores_gemma":[0.00027591333,0.00042672927,0.001413971,0.00055343827,0.00016665833,0.000049567003,0.00010556814,0.001820174,0.0000035061585],"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":[0.0004294889,0.001200058,0.0069044637,0.0011925376,0.0013865854,0.000027473869,0.00052075984,0.033402253,0.9021328,0.000036156358,0.000032741606,0.052734688],"study_design_scores_gemma":[0.0037795838,0.0024214138,0.49258378,0.0041914927,0.0018476464,0.00001708382,0.0022390876,0.0357198,0.45428428,0.00066245865,0.0008312143,0.0014221511],"about_ca_topic_score_codex":0.00004112031,"about_ca_topic_score_gemma":0.0000017204073,"teacher_disagreement_score":0.48567933,"about_ca_system_score_codex":0.00026952277,"about_ca_system_score_gemma":0.00016279201,"threshold_uncertainty_score":0.99981844},"labels":[],"label_agreement":null},{"id":"W3139510969","doi":"10.1088/1361-6579/abf1af","title":"What recording duration is required to provide physiologically valid and reliable dynamic cerebral autoregulation transfer functional analysis estimates?","year":2021,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Okanagan University College; Libin Cardiovascular Institute of Alberta; Institut universitaire de cardiologie et de pneumologie de Québec; University of British Columbia, Okanagan Campus; Alberta Children's Hospital; University of Calgary; Hotchkiss Brain Institute; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval; Canadian Institutes of Health Research; Mitacs; International Olympic Committee; Ministère de l'Éducation, du Loisir et du Sport Québec; Université Laval","keywords":"Intraclass correlation; Cerebral autoregulation; Percentile; Squat; Concurrent validity; Medicine; Mathematics; Psychology; Statistics; Internal medicine; Autoregulation; Physical therapy; Blood pressure; Reproducibility; Internal consistency","score_opus":0.09273697114716434,"score_gpt":0.2945940784149961,"score_spread":0.20185710726783174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139510969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98824203,0.00037356178,0.006713585,0.0036921944,0.00026811348,0.0005334022,0.0000059830713,0.00011392075,0.000057199504],"genre_scores_gemma":[0.9951038,0.000076540004,0.0026623423,0.0016868339,0.00009069525,0.000113806724,0.00012907352,0.000011883474,0.00012504445],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9977189,0.00013507598,0.00046127805,0.00076808606,0.00063358096,0.00028308723],"domain_scores_gemma":[0.99902004,0.00006493993,0.00006595275,0.00033671653,0.00033863442,0.00017374344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004400081,0.00023699462,0.0005488004,0.00007997003,0.00018968481,0.00010372221,0.00006198458,0.000113873306,0.000362531],"category_scores_gemma":[0.00032164843,0.000172384,0.00029224472,0.0005676303,0.0000669253,0.00028623786,0.000039930204,0.00015310063,0.00001940543],"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":[0.00075466506,0.0005623248,0.0035650975,0.00020154311,0.0011154535,0.000014896147,0.00026635925,0.0016569927,0.97906595,0.00048502628,0.00071322476,0.011598441],"study_design_scores_gemma":[0.00094134704,0.0006919748,0.9488025,0.00021903188,0.0009835401,0.000017258959,0.000158866,0.005937763,0.038679875,0.0029924642,0.00029065553,0.0002847534],"about_ca_topic_score_codex":0.000006887282,"about_ca_topic_score_gemma":0.0000074402506,"teacher_disagreement_score":0.9452374,"about_ca_system_score_codex":0.00013970387,"about_ca_system_score_gemma":0.00005516802,"threshold_uncertainty_score":0.70296156},"labels":[],"label_agreement":null},{"id":"W3156889544","doi":"10.1088/1361-6579/abf888","title":"Heart rate variability in patients with cirrhosis: a systematic review and meta-analysis","year":2021,"lang":"en","type":"review","venue":"Physiological Measurement","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":21,"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":"Meta-analysis; Cirrhosis; Heart rate variability; Medicine; Cardiology; Internal medicine; Computer science; Heart rate","score_opus":0.17796345817915252,"score_gpt":0.33378621957157223,"score_spread":0.1558227613924197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156889544","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000015269969,0.99218214,0.00002702335,0.00035354024,0.000013582333,0.0073135407,0.000045182238,0.000029603194,0.000020129492],"genre_scores_gemma":[0.0035921773,0.99198,0.00013947155,0.0013238083,0.000016676884,0.0027878562,0.00011364526,0.000024241086,0.000022107171],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99134886,0.004971869,0.001674671,0.0010928431,0.000543286,0.0003684942],"domain_scores_gemma":[0.99731565,0.00049987837,0.00041742824,0.0011113057,0.00043597454,0.0002197942],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0071594403,0.00062246044,0.016665835,0.00013125374,0.000049523955,0.00003104643,0.00013348558,0.00023197923,0.00045228598],"category_scores_gemma":[0.001971848,0.00030395854,0.0022926978,0.0009284978,0.000076831515,0.00004150313,0.00009782848,0.0005421412,0.000020394778],"study_design_candidate":"meta_analysis","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":[0.0000073703477,0.0009198141,0.000019185474,0.8898338,0.10834152,0.0000044584235,0.000006348318,0.0000012446648,0.0000011085162,0.000021618289,0.000020568747,0.0008229443],"study_design_scores_gemma":[0.00036706193,0.00022001508,0.0013456158,0.053072874,0.9379214,0.0000022435288,0.0000017612302,0.000005042451,1.3550155e-7,0.000015453577,0.006699476,0.0003489026],"about_ca_topic_score_codex":0.000016943175,"about_ca_topic_score_gemma":0.0000048169363,"teacher_disagreement_score":0.83676094,"about_ca_system_score_codex":0.00039764773,"about_ca_system_score_gemma":0.00034725975,"threshold_uncertainty_score":0.99994123},"labels":[],"label_agreement":null},{"id":"W3157635025","doi":"10.1088/1361-6579/abfc9b","title":"The critical care data exchange format: a proposed flexible data standard for combining clinical and high-frequency physiologic data in critical care","year":2021,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Machine Learning in Healthcare","field":"Computer Science","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":"Queen's University","funders":"National Institute of General Medical Sciences","keywords":"Computer science; Interoperability; Data exchange; Data sharing; File format; Data mining; Data science; Information retrieval; Database; World Wide Web; Medicine","score_opus":0.48030032069646417,"score_gpt":0.48264378851708656,"score_spread":0.0023434678206223913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157635025","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11992058,0.18428163,0.5190291,0.12634748,0.014334919,0.014190014,0.01768694,0.0030043959,0.0012049426],"genre_scores_gemma":[0.9380744,0.00035004813,0.058749128,0.0007146481,0.0003682354,0.000093247756,0.0016263729,0.000022171753,0.0000017570646],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9923725,0.0018764989,0.0010225463,0.002568937,0.0011275216,0.0010319552],"domain_scores_gemma":[0.98846847,0.002511156,0.00014358321,0.0074806144,0.0011199616,0.0002762247],"candidate_categories":["metaresearch","metaepi_narrow","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0044160252,0.0003915713,0.00076430046,0.00004551971,0.0008425077,0.0004209713,0.0072299056,0.00024248056,0.000015856836],"category_scores_gemma":[0.020453842,0.00026116474,0.000066410634,0.00035890884,0.0006224168,0.000971265,0.012495424,0.0010125441,0.000008578417],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014823868,0.0021905613,0.026640791,0.01293351,0.0002803259,0.00045913048,0.004194445,0.00010470923,0.005177005,0.3281626,0.015168734,0.6032058],"study_design_scores_gemma":[0.016252631,0.013518914,0.2457254,0.0032813372,0.0005652602,0.00016011942,0.015905347,0.41032258,0.00097614934,0.2376734,0.049992535,0.0056263334],"about_ca_topic_score_codex":0.000105310835,"about_ca_topic_score_gemma":0.00028222354,"teacher_disagreement_score":0.8181538,"about_ca_system_score_codex":0.00015042828,"about_ca_system_score_gemma":0.0007090082,"threshold_uncertainty_score":0.9999841},"labels":[],"label_agreement":null},{"id":"W3163964514","doi":"10.1088/1361-6579/ac0593","title":"Peaks and valleys: oscillatory cerebral blood flow at high altitude protects cerebral tissue oxygenation","year":2021,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"High Altitude and Hypoxia","field":"Biochemistry, Genetics and Molecular Biology","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":"Alberta Children's Hospital; University of Calgary; Mount Royal University","funders":"National Heart, Lung, and Blood Institute; National Institute on Aging; Natural Sciences and Engineering Research Council of Canada; American Heart Association","keywords":"Cerebral blood flow; Cerebral perfusion pressure; Oxygenation; Hypoxia (environmental); Blood flow; Brain tissue; Perfusion; Blood pressure; Medicine; Cerebral circulation; Effects of high altitude on humans; Cerebral autoregulation; Anesthesia; Cardiology; Oxygen; Internal medicine; Chemistry; Anatomy; Autoregulation","score_opus":0.028140887628932895,"score_gpt":0.2350093202177644,"score_spread":0.20686843258883153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163964514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99593335,0.0024856916,0.00023656842,0.00029985217,0.00016789357,0.00036045193,0.000012044756,0.00003541445,0.00046874754],"genre_scores_gemma":[0.9967895,0.00015561472,0.0017140994,0.0004399946,0.0004338204,0.00008019334,0.00011686709,0.00001908489,0.00025081873],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998154,0.00017142585,0.00023433419,0.00067322765,0.0004081201,0.00035892197],"domain_scores_gemma":[0.99915606,0.0000062408494,0.00007523126,0.0003475361,0.0002460173,0.0001689296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023531739,0.00024044357,0.0002488268,0.000020913309,0.00020100654,0.000033208857,0.00014181096,0.00020398703,0.00016729954],"category_scores_gemma":[0.00014812089,0.00019839875,0.0000847582,0.00006967806,0.00008330503,0.0000064213023,0.00030789984,0.00013299733,0.00004114574],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005818191,0.00022113,0.0005106153,0.000043915203,0.0001255566,0.000013424164,0.000028278493,0.000076973454,0.99691874,0.00017049973,0.0010556686,0.0007770236],"study_design_scores_gemma":[0.0014247212,0.0007071615,0.07321656,0.000028505523,0.000059080903,0.000028959852,0.00001523901,0.00003924334,0.9118604,0.00041937424,0.011809196,0.00039158005],"about_ca_topic_score_codex":0.000022100307,"about_ca_topic_score_gemma":0.00011919659,"teacher_disagreement_score":0.085058354,"about_ca_system_score_codex":0.000049386803,"about_ca_system_score_gemma":0.00008309443,"threshold_uncertainty_score":0.8090466},"labels":[],"label_agreement":null},{"id":"W3165503764","doi":"10.1088/1361-6579/ac05d5","title":"The effectiveness of continuous respiratory rate monitoring in predicting hypoxic and pyrexic events: a retrospective cohort study","year":2021,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","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":"Trinity College","funders":"","keywords":"Retrospective cohort study; Hazard ratio; Medicine; Proportional hazards model; Cohort; Oxygen saturation; Respiratory rate; Cohort study; Emergency medicine; Respiratory system; Internal medicine; Heart rate; Confidence interval; Oxygen","score_opus":0.12077873000414364,"score_gpt":0.33938301258361864,"score_spread":0.218604282579475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165503764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957862,0.0024515677,0.0000022990153,0.000033281078,0.00014463365,0.0014155281,0.0000015960471,0.00002145673,0.00014346516],"genre_scores_gemma":[0.99921286,0.00015418658,0.000012006081,0.000019740832,0.00006170663,0.00052596466,0.0000010323924,0.000010007482,0.0000025199104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974525,0.0010777762,0.00033495773,0.00042121304,0.0004907538,0.00022282681],"domain_scores_gemma":[0.99870384,0.00049647136,0.00010492199,0.00027736792,0.0003489715,0.00006844273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029729467,0.00016159278,0.00054805656,0.000029947394,0.00010431004,0.000011040123,0.000054985725,0.000048590304,0.000004610537],"category_scores_gemma":[0.0015619332,0.00009568477,0.000078766876,0.00019789052,0.000060850718,0.00002805545,0.00008063575,0.00017654296,0.0000013785111],"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":[0.00034841523,0.00165025,0.9118306,0.000042295338,0.0003068787,0.000042707612,0.00006186111,0.000007763627,0.08509181,0.000025755286,0.000002646455,0.00058900774],"study_design_scores_gemma":[0.002440648,0.0015277603,0.95559025,0.00043700915,0.00012936504,0.000002363994,0.00048573397,0.0000054148068,0.038955323,0.00034544163,0.0000038733106,0.00007682838],"about_ca_topic_score_codex":0.00004686664,"about_ca_topic_score_gemma":0.000013466903,"teacher_disagreement_score":0.046136484,"about_ca_system_score_codex":0.0003790065,"about_ca_system_score_gemma":0.000056899295,"threshold_uncertainty_score":0.3901912},"labels":[],"label_agreement":null},{"id":"W3176205851","doi":"10.1088/1361-6579/ac0e85","title":"Clinical value of electrical impedance tomography (EIT) in the management of patients with acute respiratory failure: a single centre experience","year":2021,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Respiratory Support and Mechanisms","field":"Medicine","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":"Medicine; Electrical impedance tomography; Mechanical ventilation; Extracorporeal membrane oxygenation; Retrospective cohort study; Ventilation (architecture); Cohort; Cardiology; Internal medicine; Radiology; Tomography","score_opus":0.06772235671471825,"score_gpt":0.3055714284375391,"score_spread":0.23784907172282083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176205851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984599,0.00023442053,0.00020272551,0.00009130024,0.000060553164,0.0006338212,0.0000052765067,0.000014463767,0.00029756047],"genre_scores_gemma":[0.99724424,0.000023167691,0.0019954639,0.00062816107,0.00003335849,0.000051873692,0.00000825638,0.000009478986,0.000005992249],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971772,0.0003165733,0.0006687041,0.00043633662,0.0010854849,0.00031570462],"domain_scores_gemma":[0.99875516,0.000045137866,0.00021709758,0.0004930977,0.00038564132,0.00010388534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061736355,0.00018526509,0.00051583315,0.0000528491,0.00003329442,0.0000060400675,0.0002143289,0.00008244258,0.000040847295],"category_scores_gemma":[0.00006271638,0.000103277875,0.00021030668,0.0006047757,0.00015043537,0.00004406416,0.000071055234,0.00022947801,0.00000226327],"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":[0.004349718,0.019050438,0.5581304,0.00056285306,0.0013495008,0.00074313785,0.0011290802,0.000017744012,0.37099704,0.00539447,0.0009602434,0.037315417],"study_design_scores_gemma":[0.0030301092,0.00322435,0.9430645,0.00027901903,0.00021683336,0.0000023066048,0.0005461319,0.000010116511,0.047397837,0.0002722604,0.0017782752,0.00017824543],"about_ca_topic_score_codex":0.0000013137907,"about_ca_topic_score_gemma":0.0000024908734,"teacher_disagreement_score":0.38493416,"about_ca_system_score_codex":0.00005196415,"about_ca_system_score_gemma":0.00008850783,"threshold_uncertainty_score":0.42115495},"labels":[],"label_agreement":null},{"id":"W3183491842","doi":"10.1088/1361-6579/ac18fd","title":"Human microvascular reactivity: a review of vasomodulating stimuli and non-invasive imaging assessment","year":2021,"lang":"en","type":"review","venue":"Physiological Measurement","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Heart and Stroke Foundation; Ted Rogers Centre for Heart Research; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Canada Foundation for Innovation; Government of Ontario","keywords":"Medicine; Neuroscience; Stimulus (psychology); Diabetes mellitus; Blood flow; Functional imaging; Disease; Pathology; Cardiology; Biology; Psychology; Endocrinology","score_opus":0.1537371718225003,"score_gpt":0.39354692634653576,"score_spread":0.23980975452403547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183491842","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00026204024,0.9969212,0.00012384001,0.00018751452,0.000067541325,0.002180959,0.000011994553,0.000029622255,0.00021529765],"genre_scores_gemma":[0.008610314,0.98989433,0.0006572506,0.0003172663,0.0001669731,0.000231467,0.00008453339,0.000030527972,0.000007351998],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99635977,0.00071317743,0.001162508,0.0008461372,0.00056991074,0.0003484801],"domain_scores_gemma":[0.9979289,0.00022384005,0.0005275587,0.00072783115,0.00041366497,0.00017821541],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002340759,0.00049728993,0.0042671235,0.00007002038,0.000104483304,0.000019870211,0.0001230668,0.00016870807,0.000118269614],"category_scores_gemma":[0.0007824379,0.00034660974,0.0010317639,0.00020021935,0.000121622885,0.00004543714,0.00021674948,0.0006544385,0.000005053073],"study_design_candidate":"systematic_review","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":[0.0000012634122,0.00050952163,0.000014263722,0.21653236,0.00072691275,0.000038373037,0.000010795619,6.359227e-7,0.03984073,0.00003168631,0.000119965196,0.7421735],"study_design_scores_gemma":[0.0010254965,0.00034040515,0.0014178073,0.6164697,0.005589414,0.00008030688,0.000020326584,0.000051682895,0.0002600413,0.0000707321,0.3740098,0.00066430354],"about_ca_topic_score_codex":0.000032704385,"about_ca_topic_score_gemma":0.0000010431943,"teacher_disagreement_score":0.7415092,"about_ca_system_score_codex":0.0004652836,"about_ca_system_score_gemma":0.0009310915,"threshold_uncertainty_score":0.9998986},"labels":[],"label_agreement":null},{"id":"W3209197537","doi":"10.1088/1361-6579/ac278e","title":"Night to night variability of pulse oximetry features in children at home and at the hospital","year":2021,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pulse oximetry; Medicine; Photoplethysmogram; Polysomnography; Obstructive sleep apnea; Apnea; Heart rate variability; Bland–Altman plot; Emergency medicine; Anesthesia; Internal medicine; Heart rate; Limits of agreement; Blood pressure","score_opus":0.025000942683041715,"score_gpt":0.27705230919367485,"score_spread":0.25205136651063315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209197537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99577045,0.0008635992,0.000011552361,0.0019937004,0.000070750175,0.0008037216,0.000020227899,0.000014254355,0.00045173476],"genre_scores_gemma":[0.99937856,0.00002201164,0.00019094275,0.00018522161,0.0000800829,0.00005442667,0.000016685633,0.000010002328,0.0000620455],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99757254,0.0003945846,0.0002685769,0.0005413836,0.0008749106,0.00034801385],"domain_scores_gemma":[0.998828,0.00012628773,0.000050111197,0.0005018269,0.00030690414,0.00018688694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085427513,0.00017487461,0.00041859376,0.000047331654,0.00008929024,0.000009757917,0.0001452478,0.000100099904,0.0005089216],"category_scores_gemma":[0.001208403,0.00009751835,0.00010351151,0.00035006047,0.00022772966,0.000026976535,0.00059642736,0.0002962609,0.000021787042],"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":[0.00036726403,0.00071634515,0.46926722,0.000048000726,0.00014336746,0.000015286038,0.00012421954,0.0000069136395,0.5254674,0.00011499131,0.00026717107,0.0034618485],"study_design_scores_gemma":[0.00088162976,0.0004061849,0.9082749,0.000023144597,0.00002948406,0.000018243969,0.00003309236,0.0000072810158,0.08971752,0.00046408162,0.0000352233,0.00010922092],"about_ca_topic_score_codex":0.000034877125,"about_ca_topic_score_gemma":0.00002837312,"teacher_disagreement_score":0.43900767,"about_ca_system_score_codex":0.0004967864,"about_ca_system_score_gemma":0.000026564514,"threshold_uncertainty_score":0.5572335},"labels":[],"label_agreement":null},{"id":"W3216621452","doi":"10.1088/1361-6579/ac304d","title":"Corrigendum: Human microvascular reactivity: a review of vasomodulating stimuli and non-invasive imaging assessment (2021 <i>Physiol. Meas.</i> <b>42</b> 09TR01)","year":2021,"lang":"en","type":"review","venue":"Physiological Measurement","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":2,"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 Institute for Regenerative Medicine; Heart and Stroke Foundation; Ted Rogers Centre for Heart Research; University of Toronto","funders":"","keywords":"Medicine; Reactivity (psychology); Neuroscience; Pathology; Biology","score_opus":0.20336876949586755,"score_gpt":0.402312053296095,"score_spread":0.19894328380022744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216621452","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012861483,0.9952976,0.00014372107,0.0000633454,0.0002071506,0.0025565429,0.000044220404,0.000063300235,0.00033797426],"genre_scores_gemma":[0.02594902,0.9715727,0.0006236887,0.0005899334,0.0003323648,0.0003508257,0.00045070951,0.00007967534,0.000051110175],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9932695,0.00149807,0.0016536429,0.001469157,0.0014661734,0.0006434525],"domain_scores_gemma":[0.9957443,0.0004106759,0.0012404072,0.0012047826,0.0009926575,0.00040717048],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015700178,0.001039741,0.005640133,0.00014455644,0.00023312456,0.00003956107,0.00032148845,0.00032711765,0.0005773657],"category_scores_gemma":[0.0013869049,0.0006958601,0.0018579921,0.0005785289,0.0003159536,0.00008424119,0.00046010775,0.0009578461,0.000018061353],"study_design_candidate":"systematic_review","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":[0.000068800226,0.0009819925,0.000016828875,0.10104007,0.0009777844,0.00009128655,0.000018376273,0.000001838758,0.1606799,0.00009347358,0.0010535434,0.7349761],"study_design_scores_gemma":[0.0023285537,0.0013612364,0.02224901,0.68198943,0.00845204,0.00019422815,0.000081429425,0.000052411295,0.0016106828,0.00035072354,0.2790809,0.002249345],"about_ca_topic_score_codex":0.000028113014,"about_ca_topic_score_gemma":0.0000011790981,"teacher_disagreement_score":0.73272675,"about_ca_system_score_codex":0.0004717152,"about_ca_system_score_gemma":0.0008382427,"threshold_uncertainty_score":0.99954927},"labels":[],"label_agreement":null},{"id":"W4210336032","doi":"10.1088/0967-3334/36/3/621","title":"Comment on: ‘Pitfalls in microdialysis methodology: an <i>in vitro</i> analysis of temperature, pressure and catheter use’","year":2015,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Dialysis and Renal Disease Management","field":"Medicine","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":"Trinity College","funders":"Chongqing University; National Institute for Health and Care Research","keywords":"Microdialysis; Catheter; Biomedical engineering; Computer science; Medicine; Surgery; Internal medicine","score_opus":0.2153352697478599,"score_gpt":0.33713811299583546,"score_spread":0.12180284324797555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210336032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99667346,0.0008400271,0.000036036778,0.0015860015,0.000049486796,0.0005522751,0.000028363484,0.000018215302,0.00021611749],"genre_scores_gemma":[0.99478793,0.000079340214,0.0014638179,0.0034666115,0.000035082972,0.00006668586,0.0000768273,0.000009435326,0.000014283276],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9971228,0.00092999806,0.0005054701,0.0005464466,0.00061480945,0.00028045182],"domain_scores_gemma":[0.99888575,0.00009782985,0.00012485172,0.00045770765,0.00018186399,0.00025199397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019960573,0.00023475857,0.0010979212,0.00047481773,0.000020098552,0.00002211487,0.00012597967,0.00011566566,0.00002442531],"category_scores_gemma":[0.00028568145,0.00015056899,0.00026650837,0.0007600133,0.00009435579,0.000057946512,0.000094200026,0.00019476363,0.0000025277936],"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":[0.004603171,0.009578488,0.021087144,0.0001675363,0.0058239712,0.00006283363,0.00092924666,0.0059352587,0.94595397,0.0005082965,0.0023837802,0.0029663036],"study_design_scores_gemma":[0.005844406,0.0025933685,0.9134547,0.00019959116,0.010618286,0.0000012533042,0.00048570623,0.0025219282,0.058757134,0.000837448,0.0040597115,0.00062645564],"about_ca_topic_score_codex":0.00022307475,"about_ca_topic_score_gemma":0.000050497216,"teacher_disagreement_score":0.89236754,"about_ca_system_score_codex":0.000096957585,"about_ca_system_score_gemma":0.00003061758,"threshold_uncertainty_score":0.6140025},"labels":[],"label_agreement":null},{"id":"W4210496038","doi":"10.1088/1361-6579/ac522e","title":"A portable fan-based device for evaluating lung function in horses by the forced oscillation technique","year":2022,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Veterinary Equine Medical Research","field":"Veterinary","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":"Université de Montréal; Cegep de Saint Hyacinthe","funders":"","keywords":"Forced oscillation; Computer science; Reactance; Lung function; Medicine; Biomedical engineering; Simulation; Engineering; Lung; Electrical engineering; Voltage; Electrical impedance","score_opus":0.36826542945528423,"score_gpt":0.43894376482180875,"score_spread":0.07067833536652451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210496038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9665902,0.00036854486,0.027294276,0.0009938349,0.00017389623,0.004010486,0.00003436739,0.00013053503,0.00040383445],"genre_scores_gemma":[0.99084,0.0000018905653,0.0005323595,0.0004123506,0.000062298335,0.008018913,0.00007317107,0.000020525822,0.00003844833],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963533,0.00092120725,0.00039647275,0.0004565837,0.0013952994,0.00047709592],"domain_scores_gemma":[0.9989369,0.00036664912,0.00013145729,0.00030489813,0.00018712708,0.00007298428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049552564,0.00017551889,0.0002336435,0.000070306276,0.00046669817,0.000024781762,0.00031685707,0.000060519196,0.0006484641],"category_scores_gemma":[0.0014407058,0.00011913049,0.00011109269,0.00037226544,0.00005485772,0.00006425678,0.00020815748,0.00040928583,0.0000058487276],"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":[0.0018254301,0.00025236706,0.00023647006,0.0000768587,0.000018643585,0.0000052582086,0.000030602325,0.0015331123,0.9878737,0.00006261154,0.0034971093,0.0045878426],"study_design_scores_gemma":[0.012594017,0.10658368,0.06903648,0.0005240443,0.00027257224,0.00011157135,0.0021266467,0.6968187,0.046465226,0.016143164,0.046846043,0.002477841],"about_ca_topic_score_codex":0.0001091037,"about_ca_topic_score_gemma":0.000005764329,"teacher_disagreement_score":0.94140846,"about_ca_system_score_codex":0.0006772198,"about_ca_system_score_gemma":0.00012973635,"threshold_uncertainty_score":0.7100227},"labels":[],"label_agreement":null},{"id":"W4220978369","doi":"10.1088/1361-6579/ac5bef","title":"Intra-breath changes in respiratory mechanics assessed from multi-frequency oscillometry measurements","year":2022,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Asthma and respiratory diseases","field":"Medicine","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":"Lakeshore General Hospital; McGill University Health Centre","funders":"Hungarian Science Foundation; Hungarian Scientific Research Fund; European Respiratory Society","keywords":"Breathing; Respiratory physiology; Cardiology; Parametric statistics; Medicine; Respiratory system; Internal medicine; Mathematics; Statistics; Anesthesia","score_opus":0.1736547235209924,"score_gpt":0.3185885505739549,"score_spread":0.1449338270529625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220978369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992232,0.004348948,0.0003648871,0.0004240906,0.00055509305,0.0012358724,0.000097548545,0.00019867049,0.00054287346],"genre_scores_gemma":[0.9954161,0.000021681539,0.00042928435,0.0032722726,0.0002126473,0.00055436237,0.000045687655,0.00003511331,0.00001285984],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99571633,0.0006452906,0.00048725793,0.0007782022,0.0018417942,0.00053111685],"domain_scores_gemma":[0.9986816,0.000045045974,0.00018041297,0.0005417827,0.00023461308,0.00031654246],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011182324,0.00035719885,0.00063342124,0.00023624508,0.00026110557,0.000018261973,0.00033161955,0.00011798715,0.0011033379],"category_scores_gemma":[0.00047449552,0.00027984308,0.00018388878,0.00058651716,0.00006130214,0.00006151962,0.00024980932,0.00056415674,0.000039443046],"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":[0.0003662819,0.0033043267,0.028171074,0.000062142164,0.00012137446,0.00015508845,0.0001146824,0.00011392799,0.9611619,0.00005043146,0.0008320021,0.0055467766],"study_design_scores_gemma":[0.010472946,0.0045945304,0.9356298,0.00029359222,0.00022418173,0.000007266564,0.0015656023,0.00046820714,0.035355374,0.0015670302,0.008673961,0.0011475111],"about_ca_topic_score_codex":0.000092886316,"about_ca_topic_score_gemma":0.000054705608,"teacher_disagreement_score":0.9258065,"about_ca_system_score_codex":0.000977869,"about_ca_system_score_gemma":0.00035615434,"threshold_uncertainty_score":0.99996537},"labels":[],"label_agreement":null},{"id":"W4250746658","doi":"10.1088/0967-3334/31/1/n01","title":"A procedure for denoising dual-axis swallowing accelerometry signals","year":2009,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Dysphagia Assessment and Management","field":"Health Professions","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; University of Toronto","funders":"Canada Research Chairs","keywords":"Noise reduction; Subspace topology; Accelerometer; Computer science; Noise (video); Wavelet; Artificial intelligence; Swallowing; Algorithm; Pattern recognition (psychology); Computer vision; Mathematics; Medicine","score_opus":0.24004997930609595,"score_gpt":0.43659193233726284,"score_spread":0.1965419530311669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250746658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9652814,0.00061149395,0.010708903,0.0044069286,0.0009025322,0.006097241,0.0000097630955,0.0006087358,0.011372971],"genre_scores_gemma":[0.9926435,0.000028280045,0.0016078347,0.0041637183,0.00048909924,0.0005947443,0.000017795046,0.000019345147,0.00043570888],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99703,0.0002500993,0.0006000659,0.0005489516,0.00070031855,0.00087055087],"domain_scores_gemma":[0.9988016,0.00016199859,0.00022411879,0.00029356376,0.00034299676,0.00017574076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016349935,0.000283796,0.0004566892,0.00009923022,0.0007786659,0.00002546632,0.00025324887,0.00017147999,0.0003558965],"category_scores_gemma":[0.00045089002,0.00020718541,0.00018739658,0.0002747012,0.000025146872,0.00016253289,0.00010825572,0.00036478392,0.00013584914],"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":[0.00035666398,0.0010284393,0.0016254537,0.0005402585,0.0002832462,0.000008257291,0.00059956097,0.00016827314,0.91614383,0.006131276,0.058898874,0.014215864],"study_design_scores_gemma":[0.01079924,0.005774817,0.81876516,0.0021850902,0.0006671322,0.0000020329885,0.0044762813,0.0012425478,0.0181408,0.089874394,0.04549538,0.002577115],"about_ca_topic_score_codex":0.0000050897847,"about_ca_topic_score_gemma":0.0000037597522,"teacher_disagreement_score":0.89800304,"about_ca_system_score_codex":0.00037025678,"about_ca_system_score_gemma":0.000116991476,"threshold_uncertainty_score":0.8448776},"labels":[],"label_agreement":null},{"id":"W4280523107","doi":"10.1088/1361-6579/ac8ccd","title":"Machine learning to support triage of children at risk for epileptic seizures in the pediatric intensive care unit","year":2022,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","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":"Alberta Children's Hospital; St. Michael's Hospital; University of Calgary; University of Toronto","funders":"","keywords":"Triage; Medicine; Receiver operating characteristic; Intensive care unit; Pediatric intensive care unit; Early warning score; Intensive care medicine; Intensive care; Emergency medicine; Emergency department; Medical emergency; Pediatrics; Internal medicine; Psychiatry","score_opus":0.11585664154920736,"score_gpt":0.3037230320524615,"score_spread":0.18786639050325413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280523107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99826837,0.00016755082,0.00006362097,0.0001985228,0.00013099314,0.00095914357,0.000107558095,0.000028637869,0.00007558858],"genre_scores_gemma":[0.99841344,0.0000216207,0.000041379368,0.0011725456,0.00008127971,0.00022602522,0.000014724975,0.000009080441,0.000019926147],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9976004,0.0008669189,0.00029425707,0.0004119819,0.00054608,0.00028039044],"domain_scores_gemma":[0.99902326,0.00041563978,0.00016427108,0.00020337023,0.00014716745,0.000046286143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007609994,0.00015105457,0.0002579644,0.00008385071,0.00030748616,0.000014241236,0.0005603913,0.00002493224,0.00010130197],"category_scores_gemma":[0.0015360669,0.00009272043,0.00012459882,0.00031280972,0.00003918743,0.00002379437,0.00039254728,0.00035001052,0.00000927738],"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":[0.002874994,0.0011709214,0.26342732,0.00020456781,0.000069960915,0.000048349222,0.028718278,0.09364898,0.5907935,0.0003516073,0.0062284996,0.012463057],"study_design_scores_gemma":[0.0072169183,0.028814092,0.79339504,0.00005134916,0.00024692935,0.000098276236,0.012527925,0.0032669278,0.14599518,0.0018227593,0.005243858,0.0013207474],"about_ca_topic_score_codex":0.00003891108,"about_ca_topic_score_gemma":0.000010739601,"teacher_disagreement_score":0.5299677,"about_ca_system_score_codex":0.00009299162,"about_ca_system_score_gemma":0.000023750337,"threshold_uncertainty_score":0.37810296},"labels":[],"label_agreement":null},{"id":"W4281703337","doi":"10.1088/1361-6579/ac77d1","title":"Arrhythmia classification of 12-lead and reduced-lead electrocardiograms via recurrent networks, scattering, and phase harmonic correlation","year":2022,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Vetenskapsrådet","keywords":"Matthews correlation coefficient; Lead (geology); Correlation; Classifier (UML); Artificial intelligence; Pattern recognition (psychology); Deep learning; Scattering; Computer science; Algorithm; Support vector machine; Mathematics; Physics; Optics","score_opus":0.08228395418362094,"score_gpt":0.3002339342626527,"score_spread":0.21794998007903177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281703337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98873276,0.0033784595,0.006812726,0.00045955938,0.00018299925,0.00031475702,0.0000026872858,0.00005017214,0.00006589271],"genre_scores_gemma":[0.9988559,0.0004169657,0.00024980045,0.000034212786,0.00027044996,0.000101089194,0.000044832796,0.000010283773,0.000016503256],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99851817,0.00016290139,0.00030539284,0.00036237462,0.0004410562,0.00021011345],"domain_scores_gemma":[0.99941695,0.000024323039,0.00016963902,0.00020065725,0.00009742817,0.00009099683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005137679,0.00014679103,0.00035074344,0.00007126483,0.00017532505,0.000010708444,0.000049717753,0.00004724475,0.00001765275],"category_scores_gemma":[0.000050598574,0.000120524484,0.000104139035,0.00019550452,0.00008077123,0.000030477988,0.00006198553,0.00028986178,0.000001281431],"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":[0.0004054426,0.00031776764,0.0031039168,0.00005178135,0.00015966574,0.0000025301492,0.0000510306,0.00027691305,0.70187527,0.000016339545,0.00020512744,0.29353422],"study_design_scores_gemma":[0.0060797376,0.009408081,0.6650375,0.00036302008,0.0013698271,0.00012006709,0.0004932783,0.29607305,0.017700054,0.00074048236,0.0018834575,0.0007314344],"about_ca_topic_score_codex":0.000014468465,"about_ca_topic_score_gemma":8.2209044e-7,"teacher_disagreement_score":0.6841752,"about_ca_system_score_codex":0.00015576057,"about_ca_system_score_gemma":0.000020475185,"threshold_uncertainty_score":0.49148458},"labels":[],"label_agreement":null},{"id":"W4316013206","doi":"10.1088/1361-6579/acb30f","title":"Improving generalization performance of electrocardiogram classification models","year":2023,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"ECG Monitoring and Analysis","field":"Medicine","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":"Artificial Intelligence in Medicine (Canada)","funders":"Institute for Information and Communications Technology Promotion; National Research Foundation of Korea; Ministry of Science and ICT, South Korea; Ministry of Education, India; Ministry of Food and Drug Safety; Ministry of Trade, Industry and Energy; Seoul National University; Korea Medical Device Development Fund; National Research Foundation; Ministry of Education","keywords":"Generalization; Computer science; Artificial intelligence; Test set; Machine learning; Training set; Test data; Cross entropy; Deep learning; Pattern recognition (psychology); Mathematics","score_opus":0.16944695753097644,"score_gpt":0.29812432853590726,"score_spread":0.12867737100493082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316013206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945364,0.00009685932,0.004715695,0.000082220315,0.00004846684,0.00012357695,5.438573e-7,0.00012721104,0.0002690456],"genre_scores_gemma":[0.999012,0.00022883248,0.0004887547,0.000020816138,0.00014511238,0.000035948437,0.00002549718,0.0000066986518,0.000036342044],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902844,0.00003635796,0.0001914705,0.0001787982,0.00040618528,0.00015875878],"domain_scores_gemma":[0.99947125,0.000006830191,0.00007467617,0.00016836746,0.00023293089,0.000045940982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034490306,0.00007651289,0.00019867795,0.00007825631,0.000051427327,0.0000044749036,0.000048415313,0.000045834287,0.0000039931474],"category_scores_gemma":[0.00005449852,0.000054965283,0.00010699502,0.00044053336,0.000021813672,0.000039199884,0.00001669263,0.00007012328,0.0000137974175],"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":[0.00003985648,0.00006964716,0.0041501895,0.00007884436,0.000056190096,3.7557302e-7,0.000015893682,0.005202697,0.9661988,0.00009386466,0.00010858181,0.02398504],"study_design_scores_gemma":[0.00035416862,0.0005078058,0.18617016,0.000072370014,0.0001308525,9.673845e-7,0.000037269947,0.722245,0.09000593,0.00033839457,0.000031436746,0.000105648935],"about_ca_topic_score_codex":0.000012549317,"about_ca_topic_score_gemma":1.9042268e-7,"teacher_disagreement_score":0.87619287,"about_ca_system_score_codex":0.00006555928,"about_ca_system_score_gemma":0.000023605022,"threshold_uncertainty_score":0.22414193},"labels":[],"label_agreement":null},{"id":"W4318691545","doi":"10.1088/1361-6579/acb7c6","title":"Cardio-respiratory interactions in response to lower-body negative pressure","year":2023,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Hypovolemia; Medicine; Blood pressure; Heart rate; Cardiorespiratory fitness; Supine position; Cardiology; Anesthesia; Respiratory rate; Presyncope; Internal medicine","score_opus":0.12482026057834124,"score_gpt":0.34274834090782996,"score_spread":0.21792808032948874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318691545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928454,0.0000468892,0.00006468011,0.004980639,0.00030219785,0.0009984527,0.000014937229,0.00016746827,0.0005793106],"genre_scores_gemma":[0.9980754,0.0000026122598,0.000051901352,0.0011720094,0.00017254068,0.000276089,0.0000024165458,0.000010261044,0.00023672197],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.998063,0.0005242963,0.00032582745,0.00041111265,0.00033733487,0.0003383972],"domain_scores_gemma":[0.99899524,0.00027373343,0.00003361338,0.00034046674,0.00015752882,0.00019944007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017901919,0.00015387387,0.00039890484,0.00014779571,0.00006619282,0.000013117638,0.00008952914,0.000059910224,0.00020044463],"category_scores_gemma":[0.0019892273,0.000117146636,0.00013685168,0.00045325473,0.00004515637,0.00004996264,0.00008075958,0.00030585867,0.00065940554],"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":[0.0013062727,0.0003097237,0.0006141955,0.00002245002,0.00008061397,0.000028177803,0.00024425282,0.0010539783,0.9923418,0.000040606537,0.0019784716,0.0019794134],"study_design_scores_gemma":[0.0014312823,0.0009219138,0.8565403,0.00014633234,0.00004787263,0.0000015842963,0.00015103517,0.0008397037,0.008325767,0.0003113976,0.13109173,0.0001910399],"about_ca_topic_score_codex":0.000048357153,"about_ca_topic_score_gemma":0.000018160152,"teacher_disagreement_score":0.98401606,"about_ca_system_score_codex":0.0002654799,"about_ca_system_score_gemma":0.00017309903,"threshold_uncertainty_score":0.84755445},"labels":[],"label_agreement":null},{"id":"W4381185713","doi":"10.1088/1361-6579/acdfb6","title":"Regional disparity in continuously measured time-domain cerebrovascular reactivity indices: a scoping review of human literature","year":2023,"lang":"en","type":"review","venue":"Physiological Measurement","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cerebral autoregulation; Transcranial Doppler; Medicine; Cerebral perfusion pressure; Cerebral blood flow; Cardiology; Subarachnoid hemorrhage; Population; Pulsatile flow; Intracerebral hemorrhage; Internal medicine; Traumatic brain injury; Blood pressure; Autoregulation","score_opus":0.20611607160602208,"score_gpt":0.3743672695376381,"score_spread":0.16825119793161603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381185713","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00044633332,0.99410796,0.000005212008,0.00007291464,0.00009558896,0.004879763,0.00003447944,0.00012126882,0.00023648175],"genre_scores_gemma":[0.00038256217,0.9979118,0.00009999728,0.00022639982,0.00019217105,0.0007565771,0.00034678608,0.00006204458,0.000021657732],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9927733,0.001885138,0.0018322108,0.0011270284,0.0018514115,0.00053090276],"domain_scores_gemma":[0.99707115,0.0002848196,0.0010541711,0.0010639573,0.00033027786,0.00019562345],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0042790826,0.000759239,0.0056179557,0.00023477162,0.000099816905,0.00002521103,0.00045363253,0.0005016954,0.00008259999],"category_scores_gemma":[0.001337573,0.0005048268,0.0019928224,0.0011442208,0.0002379215,0.00008822228,0.00014712146,0.0012233178,0.000057542184],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005770933,0.0011902811,0.00001807606,0.9354397,0.0010638264,0.00007833384,0.00007451893,1.4460726e-7,0.00065976166,0.000092812494,0.0013685153,0.0599563],"study_design_scores_gemma":[0.0008062809,0.00039150307,0.0013337513,0.97795343,0.0012382044,0.00005008045,0.0000059199024,3.4635912e-7,0.000022886206,0.0002953753,0.017425533,0.0004766912],"about_ca_topic_score_codex":0.000020204023,"about_ca_topic_score_gemma":0.000019880954,"teacher_disagreement_score":0.05947961,"about_ca_system_score_codex":0.00029435198,"about_ca_system_score_gemma":0.00040803564,"threshold_uncertainty_score":0.99974036},"labels":[],"label_agreement":null},{"id":"W4381193117","doi":"10.1088/1361-6579/acdfb4","title":"A unified framework for multi-lead ECG characterization using Laplacian Eigenmaps","year":2023,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"ECG Monitoring and Analysis","field":"Medicine","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":"Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"Vlaamse regering; Fonds Wetenschappelijk Onderzoek; European Space Agency","keywords":"Heartbeat; Pattern recognition (psychology); Normal Sinus Rhythm; Artificial intelligence; Lead (geology); Representation (politics); Sinus rhythm; Laplace operator; Computer science; Electrocardiography; Dimensionality reduction; Curse of dimensionality; Set (abstract data type); Cardiology; Medicine; Mathematics; Atrial fibrillation; Biology","score_opus":0.40660038378041397,"score_gpt":0.3954386581023632,"score_spread":0.011161725678050738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381193117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8919227,0.000043528056,0.10670403,0.00031857472,0.0002890187,0.00043359987,0.000012891611,0.000257424,0.000018207358],"genre_scores_gemma":[0.9756975,0.00007513123,0.023207717,0.0001625575,0.0005495781,0.00007545249,0.00011288447,0.0000186477,0.000100533616],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987593,0.00005539791,0.000228695,0.0003082749,0.0003488657,0.00029942987],"domain_scores_gemma":[0.99932826,0.00003675889,0.00008450912,0.00020988456,0.00023595867,0.00010460632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030362856,0.00014716307,0.00032125568,0.00008386894,0.0001806636,0.000012974334,0.00007148675,0.00012395816,0.000014282506],"category_scores_gemma":[0.0004905829,0.00010940338,0.00017633117,0.00039544085,0.000034610734,0.000030096375,0.00002970958,0.00014501713,0.000060179074],"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":[0.00011806568,0.00023832495,0.003445128,0.000081742044,0.00013022695,0.000007340244,0.00008943372,0.0000805238,0.9875879,0.00009436913,0.00006272578,0.008064207],"study_design_scores_gemma":[0.0032652116,0.0012148488,0.5914957,0.0010522893,0.00062280736,0.000009166066,0.00046329666,0.2944094,0.10254063,0.0020454598,0.002038778,0.0008424612],"about_ca_topic_score_codex":0.00000792131,"about_ca_topic_score_gemma":5.404139e-7,"teacher_disagreement_score":0.8850473,"about_ca_system_score_codex":0.00011249368,"about_ca_system_score_gemma":0.000038572267,"threshold_uncertainty_score":0.44613403},"labels":[],"label_agreement":null},{"id":"W4381839010","doi":"10.1088/1361-6579/ace14e","title":"Validity of ActivPAL CREA software detection of sitting and lying during free-living conditions","year":2023,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Physical Activity and Health","field":"Medicine","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":"Nova Scotia Health Authority; Dalhousie University","funders":"Canadian Institutes of Health Research","keywords":"Sitting; Lying; Torso; Physical therapy; Medicine; Nuclear medicine; Anatomy; Radiology; Pathology","score_opus":0.22145126827989317,"score_gpt":0.3412223104079974,"score_spread":0.11977104212810422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381839010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99912816,0.000018198456,0.0003640541,0.00007544528,0.000041241656,0.00020989825,0.000012905778,0.00009176755,0.00005829716],"genre_scores_gemma":[0.99971277,0.00003024872,0.00012735091,0.000015492853,0.00007968224,0.000021124662,0.0000034879251,0.0000067798173,0.000003062225],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99889165,0.000105523824,0.00023231274,0.00020439994,0.00036648352,0.00019963374],"domain_scores_gemma":[0.999212,0.00026342124,0.00013769307,0.0001584826,0.00013651974,0.000091836635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040189608,0.00009710259,0.00037201718,0.000058775015,0.00014820263,0.0000031896084,0.00004828191,0.000059658614,0.00001593956],"category_scores_gemma":[0.0013616733,0.00007779412,0.00008785329,0.00020200976,0.00008988726,0.00006809106,0.00009930578,0.00018228171,0.0000029217913],"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":[0.00007042941,0.00035604087,0.0050883866,0.0005430919,0.000031733798,0.0000013502627,0.00014668255,0.000028243694,0.99256516,0.00002691116,0.000006998001,0.0011349506],"study_design_scores_gemma":[0.0003479378,0.00044175438,0.77980125,0.0003322494,0.00003818719,0.0000023311484,0.00013167632,0.00017718089,0.21722236,0.0014435836,0.0000020005423,0.000059455317],"about_ca_topic_score_codex":0.000045409302,"about_ca_topic_score_gemma":0.0000059361932,"teacher_disagreement_score":0.7753428,"about_ca_system_score_codex":0.00007420576,"about_ca_system_score_gemma":0.000029714955,"threshold_uncertainty_score":0.3172352},"labels":[],"label_agreement":null},{"id":"W4382932921","doi":"10.1088/1361-6579/ace3a2","title":"The temporal neurovascular coupling response remains intact during sinusoidal hypotensive and hypertensive challenges","year":2023,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","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":"Health Sciences Centre; University of Calgary","funders":"Canadian Institutes of Health Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Neurovascular bundle; Squat; Cardiology; Blood pressure; Medicine; Cerebral blood flow; Transcranial Doppler; Hemodynamics; Middle cerebral artery; Anesthesia; Internal medicine; Physical medicine and rehabilitation; Ischemia; Surgery","score_opus":0.11375761853772409,"score_gpt":0.2745499413967631,"score_spread":0.160792322859039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382932921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98924375,0.0032646172,0.0000043735986,0.0065080845,0.00016443213,0.0005499552,0.0000022124666,0.00021377784,0.00004877686],"genre_scores_gemma":[0.99697804,0.0023208668,0.000038483588,0.00036057914,0.00017293605,0.00007149278,0.000003390237,0.000022703642,0.00003150568],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99771196,0.000286542,0.000311296,0.0005375302,0.0007222335,0.0004304135],"domain_scores_gemma":[0.9985781,0.00042877617,0.00008952908,0.00046630445,0.00027680866,0.0001605112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013648786,0.00024655694,0.00044560435,0.00005748449,0.0004987983,0.000033994846,0.00013148181,0.000084937936,0.000004281908],"category_scores_gemma":[0.00212586,0.00014146988,0.0002136372,0.00020204028,0.00024765995,0.000050146835,0.00012183985,0.0003188162,0.000038294034],"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":[0.006080731,0.0002971153,0.0009443804,0.00037235452,0.00065927464,0.0008083699,0.000727025,0.00019042264,0.98114854,0.00030069504,0.0009671582,0.007503931],"study_design_scores_gemma":[0.0013369434,0.0007896608,0.9855697,0.0002021464,0.00010142552,0.00015742969,0.0010660434,0.00042614373,0.008616962,0.00050206546,0.001014197,0.00021725333],"about_ca_topic_score_codex":0.0000034749735,"about_ca_topic_score_gemma":0.000004499832,"teacher_disagreement_score":0.98462534,"about_ca_system_score_codex":0.000058874062,"about_ca_system_score_gemma":0.000044632932,"threshold_uncertainty_score":0.5768974},"labels":[],"label_agreement":null},{"id":"W4383197662","doi":"10.1088/1361-6579/ace49e","title":"The truth Hertz—synchronization of electroencephalogram signals with physiological waveforms recorded in an intensive care unit","year":2023,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Hospital for Sick Children","funders":"","keywords":"Hertz; Electroencephalography; Waveform; Intensive care unit; Synchronization (alternating current); Computer science; Neuroscience; Medicine; Psychology; Telecommunications; Intensive care medicine","score_opus":0.14019766040931717,"score_gpt":0.3130534572475332,"score_spread":0.17285579683821603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383197662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998654,0.00007187298,0.0002457262,0.00020836396,0.00016330776,0.0004380572,0.0000051159946,0.00013922369,0.00007429918],"genre_scores_gemma":[0.99938834,0.00008573972,0.00005652817,0.00028681927,0.000065007844,0.00008574064,0.000013336483,0.000011998379,0.0000064837122],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99754417,0.00048631406,0.00035650484,0.0005604406,0.00054144626,0.0005111095],"domain_scores_gemma":[0.9985435,0.000324697,0.00016378764,0.0003024344,0.00058796455,0.00007761308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034367273,0.0002280904,0.0003334521,0.00007014686,0.00018449305,0.000046722344,0.00052701356,0.00008007542,0.000015906728],"category_scores_gemma":[0.0009705629,0.000106873245,0.00007161298,0.0007843705,0.00031331865,0.00012336763,0.00011488787,0.00021722754,0.000013530637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003038302,0.0001413177,0.0006252759,0.000025409676,0.000011578657,0.000010580354,0.00062249915,0.003915455,0.9798221,0.00031528153,0.00010003293,0.014106647],"study_design_scores_gemma":[0.0017857943,0.013971295,0.18289094,0.00031651865,0.000024967314,0.000011565202,0.0077984068,0.02364851,0.76087713,0.0077334703,0.00021781097,0.00072360033],"about_ca_topic_score_codex":0.000015464617,"about_ca_topic_score_gemma":0.00004162256,"teacher_disagreement_score":0.21894497,"about_ca_system_score_codex":0.000095005744,"about_ca_system_score_gemma":0.000048307742,"threshold_uncertainty_score":0.43581644},"labels":[],"label_agreement":null},{"id":"W4383312765","doi":"10.1088/1361-6579/ace510","title":"ETucker: a constrained tensor decomposition for single trial ERP extraction","year":2023,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Tensor decomposition and applications","field":"Mathematics","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":"Tensor decomposition; Extraction (chemistry); Decomposition; Tensor (intrinsic definition); Computer science; Artificial intelligence; Mathematics; Chemistry; Chromatography; Pure mathematics","score_opus":0.34906108780742046,"score_gpt":0.41865683166488765,"score_spread":0.0695957438574672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383312765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94140226,0.000021341888,0.045576375,0.00399083,0.0005279653,0.0044279965,0.00010243159,0.001544931,0.0024058651],"genre_scores_gemma":[0.9901892,0.000004673303,0.008017938,0.00018566831,0.00030859688,0.0011402568,0.00007739608,0.000017709284,0.00005859456],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99864787,0.000092581635,0.0003684811,0.0003245584,0.00029250162,0.0002740076],"domain_scores_gemma":[0.9989838,0.00031481544,0.00014554634,0.0002167068,0.00024868504,0.00009043027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005060742,0.00015626274,0.00025211755,0.00006252201,0.00022428703,0.000036467314,0.000113183,0.00009538279,0.00010372708],"category_scores_gemma":[0.00035168888,0.00012501887,0.0001956726,0.00020359088,0.00005479377,0.00005501711,0.000022468268,0.000100202604,0.00015641395],"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":[0.0019987775,0.001005342,0.0000012805217,0.000036187175,0.00004595885,0.0000012659289,0.000036494424,0.00002360811,0.9452795,0.032256614,0.01615514,0.0031598648],"study_design_scores_gemma":[0.039623667,0.0028637762,0.0026677835,0.00012912157,0.00023988192,0.000027142565,0.00028481675,0.0037633986,0.07864723,0.8601661,0.010718676,0.00086845376],"about_ca_topic_score_codex":0.0000019659653,"about_ca_topic_score_gemma":0.0000019892404,"teacher_disagreement_score":0.8666322,"about_ca_system_score_codex":0.00011796893,"about_ca_system_score_gemma":0.000019757768,"threshold_uncertainty_score":0.5098121},"labels":[],"label_agreement":null},{"id":"W4385285628","doi":"10.1088/1361-6579/acead2","title":"The 2023 wearable photoplethysmography roadmap","year":2023,"lang":"en","type":"review","venue":"Physiological Measurement","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":145,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ted Rogers Centre for Heart Research; University of Toronto","funders":"Lietuvos Mokslo Taryba; National Institute of Mental Health; National Heart, Lung, and Blood Institute; NIHR Oxford Biomedical Research Centre; European Regional Development Fund; National Research Foundation; Instituto de Salud Carlos III; National Center for Advancing Translational Sciences; National Research Foundation of Korea; Royal Academy of Engineering; British Heart Foundation; University of Toronto; Japan Agency for Medical Research and Development; Innovation and Technology Commission; Ministry of Education, Culture, Sports, Science and Technology; Ministerio de Ciencia e Innovación; Korea Health Industry Development Institute; National Institute for Health and Care Research; Multidisciplinary University Research Initiative; European Cooperation in Science and Technology; National Institutes of Health; Engineering and Physical Sciences Research Council; UK Research and Innovation; National Science Foundation","keywords":"Photoplethysmogram; Wearable computer; Wearable technology; Smartwatch; Key (lock); Computer science; Activity tracker; Embedded system; Wireless; Telecommunications; Computer security","score_opus":0.19651426730022883,"score_gpt":0.31087745521381394,"score_spread":0.1143631879135851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385285628","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008460226,0.99486464,0.000052203086,0.000005668531,0.0020159963,0.0010596156,0.00001741049,0.00079017464,0.0011858029],"genre_scores_gemma":[0.0002684029,0.99734986,0.00004020735,0.0000057035254,0.00083309127,0.0012782225,0.000012138583,0.00012787561,0.00008451893],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968678,0.00023213064,0.0006886605,0.00052029156,0.00086070516,0.00083044387],"domain_scores_gemma":[0.9986053,0.00035807167,0.0001300434,0.00063177204,0.000105573716,0.00016925026],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008898924,0.0006764778,0.0013073381,0.000115629286,0.00029948572,0.00012203095,0.000847772,0.00031322744,0.000028606226],"category_scores_gemma":[0.00020401916,0.00038991764,0.0008884538,0.00090064545,0.00010396787,0.000050928284,0.00019246321,0.0008397868,0.0016647193],"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":[0.0000049675355,0.0000650986,0.000001540364,0.012411485,0.0013076023,0.000030217307,0.00001243043,0.00021125819,0.0038801027,0.00015430419,0.015524451,0.9663966],"study_design_scores_gemma":[0.00009239435,0.000075075055,0.000017682314,0.0077779326,0.00023807886,0.0000030245762,0.000013003933,0.00000534564,0.00019083911,0.0012420989,0.98965883,0.0006857061],"about_ca_topic_score_codex":0.000012181872,"about_ca_topic_score_gemma":0.0000063825855,"teacher_disagreement_score":0.9741344,"about_ca_system_score_codex":0.00038473328,"about_ca_system_score_gemma":0.000053779026,"threshold_uncertainty_score":0.9998553},"labels":[],"label_agreement":null},{"id":"W4385479166","doi":"10.1088/1361-6579/acecd4","title":"Cerebral blood velocity during concurrent supine cycling, lower body negative pressure, and head-up tilt challenges: implications for concussion rehabilitation","year":2023,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Supine position; Head-Down Tilt; Concussion; Physical medicine and rehabilitation; Rehabilitation; Tilt (camera); Medicine; Head (geology); Lower body; Cycling; Blood pressure; Head injury; Physical therapy; Poison control; Anesthesia; Injury prevention; Surgery; Geology; Internal medicine; Engineering; Structural engineering; Medical emergency","score_opus":0.24697862808120585,"score_gpt":0.39783113648016805,"score_spread":0.1508525083989622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385479166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871801,0.00064002204,0.000105284336,0.008758304,0.00019681136,0.002669232,0.000070820985,0.00024552442,0.00013389507],"genre_scores_gemma":[0.9977679,0.00027098708,0.00049459917,0.0000575764,0.00020587289,0.0010545419,0.000051951294,0.000024134519,0.000072399474],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9976938,0.00020207446,0.00044730166,0.0006395317,0.0005403653,0.00047697636],"domain_scores_gemma":[0.99817884,0.0005623685,0.00011487574,0.00036839175,0.0005282116,0.0002473057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093169534,0.00022962084,0.00046043048,0.00009980475,0.00024754173,0.000020469439,0.00012482482,0.00010142368,0.00004639409],"category_scores_gemma":[0.002504116,0.00016447488,0.00013811821,0.00021741605,0.00023209307,0.000091344504,0.000121245765,0.00027204282,0.000022934602],"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":[0.003171222,0.0033898957,0.008931501,0.005101944,0.0013578943,0.000004866632,0.0032475593,0.000052554842,0.9231395,0.009632279,0.004405789,0.037564956],"study_design_scores_gemma":[0.0043170336,0.0021720275,0.9821813,0.000361444,0.00017169763,0.0000051365005,0.00024260645,0.00048393154,0.0057170303,0.0037276999,0.00041745155,0.00020265733],"about_ca_topic_score_codex":0.000014887068,"about_ca_topic_score_gemma":0.0000075785065,"teacher_disagreement_score":0.9732498,"about_ca_system_score_codex":0.00009565116,"about_ca_system_score_gemma":0.00007595879,"threshold_uncertainty_score":0.67070913},"labels":[],"label_agreement":null},{"id":"W4387708111","doi":"10.1088/1361-6579/ad0425","title":"Influence of sex on the reliability of cerebral blood velocity regulation during lower body negative pressure and supine cycling with considerations of the menstrual cycle","year":2023,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Supine position; Medicine; Blood pressure; Intraclass correlation; Cycling; Transcranial Doppler; Heart rate; Reliability (semiconductor); Menstrual cycle; Cardiology; Physical therapy; Internal medicine; Physiology; Hormone","score_opus":0.0379296453337826,"score_gpt":0.2495025220215109,"score_spread":0.2115728766877283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387708111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99886495,0.000021790824,0.0000022830097,0.00049395027,0.000015571824,0.00050062075,0.000011764315,0.000015577263,0.00007350868],"genre_scores_gemma":[0.99984336,0.000005839578,0.00006875477,0.000037700334,0.000014131538,0.000021195412,9.542018e-7,0.000003696203,0.0000043506448],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99879247,0.00020035876,0.00027522244,0.00018781667,0.00044863528,0.00009548293],"domain_scores_gemma":[0.99903756,0.0002676915,0.00017150225,0.00029502567,0.00020451353,0.000023728118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044031453,0.00009243627,0.00024954832,0.00001471198,0.00010268948,0.0000027872466,0.00005784938,0.00003560273,0.000015322845],"category_scores_gemma":[0.00094831525,0.000042254786,0.000063221254,0.00015043074,0.00039597743,0.000032649896,0.000042363245,0.00012779205,2.38333e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059640064,0.0006112713,0.023123162,0.000553903,0.00038435523,9.918256e-7,0.0010828936,0.02582896,0.9461962,0.0015290915,0.000027288386,0.000065491964],"study_design_scores_gemma":[0.0005130645,0.00033360114,0.709953,0.00019120927,0.000104421306,0.000001654115,0.00007997713,0.0002432501,0.28668395,0.0018626724,5.688894e-7,0.000032601303],"about_ca_topic_score_codex":0.000016523283,"about_ca_topic_score_gemma":0.0000030397202,"teacher_disagreement_score":0.68682986,"about_ca_system_score_codex":0.000007798676,"about_ca_system_score_gemma":0.000030335079,"threshold_uncertainty_score":0.17231002},"labels":[],"label_agreement":null},{"id":"W4387735005","doi":"10.1088/1361-6579/ad04b4","title":"Validity and reliability of the DANU sports system for walking and running gait assessment","year":2023,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","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":"Science North","funders":"Parkinson's Foundation","keywords":"Gait; Intraclass correlation; Physical medicine and rehabilitation; Treadmill; STRIDE; Physical therapy; Reliability (semiconductor); Gait analysis; Swing; Test (biology); Medicine; Engineering; Psychometrics","score_opus":0.14163281791712484,"score_gpt":0.387440913978638,"score_spread":0.24580809606151316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387735005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973917,0.00004440599,0.00021088151,0.00019038939,0.00045693832,0.0011930324,0.000012692433,0.00008266572,0.0004173195],"genre_scores_gemma":[0.9991373,0.000047136895,0.0003579935,0.000053607586,0.00011065188,0.0002553637,0.000006286586,0.000007178834,0.000024520949],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981946,0.0004455236,0.00040738285,0.00029913857,0.00037444284,0.0002789253],"domain_scores_gemma":[0.999065,0.00020880926,0.00024606087,0.0002387843,0.00018195977,0.00005939517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034088485,0.000113277434,0.00028894423,0.000018373617,0.00050148077,0.000004740204,0.000093447365,0.00010286071,0.0000025630793],"category_scores_gemma":[0.00021060546,0.00006584049,0.00007349774,0.00010930664,0.00006767854,0.000038509712,0.00017729597,0.00021709553,0.000001482753],"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":[0.00023513351,0.0005273644,0.52592736,0.0068121133,0.000047858175,0.0000014828777,0.00088370504,0.000020239555,0.4539429,0.005648593,0.0022764283,0.0036768508],"study_design_scores_gemma":[0.00048607372,0.00009503705,0.9927226,0.00052792527,0.000031087216,2.507044e-7,0.000645588,0.0007016783,0.000071235765,0.0044448446,0.00019841811,0.00007531364],"about_ca_topic_score_codex":0.000023136748,"about_ca_topic_score_gemma":0.0000041390845,"teacher_disagreement_score":0.4667952,"about_ca_system_score_codex":0.00013131391,"about_ca_system_score_gemma":0.00005076731,"threshold_uncertainty_score":0.3857035},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12296655,0.0076931193,0.8673806,0.00027365139,0.00016107957,0.00065177144,0.00014394343,0.0005119753,0.00021726993],"genre_scores_gemma":[0.9941747,0.0002440667,0.0046447474,0.00018138762,0.00011413983,0.0005389578,0.00007069516,0.000027582772,0.0000037228274],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974811,0.000082163475,0.0005351903,0.0005336644,0.0007608974,0.0006069792],"domain_scores_gemma":[0.9991064,0.00034600074,0.00005449584,0.0001894267,0.00019113299,0.00011254489],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033326965,0.00032673625,0.0006499403,0.00034529576,0.0000736815,0.000037142912,0.0002639917,0.00012583884,0.00004006227],"category_scores_gemma":[0.000043604363,0.00025108972,0.000889734,0.0027810985,0.00006687891,0.00015144979,0.000025321107,0.0002571776,0.0000045781308],"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":[0.0002711386,0.0011812159,0.0023522684,0.00045740898,0.011284833,0.0000067648753,0.00018097785,0.6538447,0.24476258,0.008147602,0.010718032,0.066792466],"study_design_scores_gemma":[0.00031680038,0.0006676792,0.0068910713,0.00003442583,0.00075137004,7.472692e-7,0.000003148772,0.95184433,0.009593383,0.028949572,0.0005601185,0.0003873562],"about_ca_topic_score_codex":0.000012771625,"about_ca_topic_score_gemma":0.0000035993623,"teacher_disagreement_score":0.87120813,"about_ca_system_score_codex":0.0001343654,"about_ca_system_score_gemma":0.000023257762,"threshold_uncertainty_score":0.99999416},"labels":[],"label_agreement":null},{"id":"W4391770869","doi":"10.1088/1361-6579/ad290b","title":"Unsupervised ensembling of multiple software sensors with phase synchronization: a robust approach for electrocardiogram-derived respiration","year":2024,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Non-Invasive Vital Sign Monitoring","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":"York University; University of Washington; Johns Hopkins University; National Heart, Lung, and Blood Institute; University of California, Davis; University of Minnesota; Case Western Reserve University; National Science Foundation","keywords":"Synchronization (alternating current); Computer science; Phase synchronization; sync; Sensitivity (control systems); SIGNAL (programming language); Pattern recognition (psychology); Artificial intelligence; Electronic engineering; Engineering","score_opus":0.07797817041398718,"score_gpt":0.2516036784907967,"score_spread":0.1736255080768095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391770869","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25565615,0.0009323805,0.74215245,0.000005415521,0.00010437978,0.00067322294,0.000011646524,0.000427171,0.00003721645],"genre_scores_gemma":[0.96271664,0.000026724121,0.03656741,0.000005725247,0.00028338685,0.00030156577,0.000049661918,0.000047844816,0.0000010433479],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998625,0.000052556687,0.00027609235,0.00034908022,0.0003885878,0.00030871644],"domain_scores_gemma":[0.99936336,0.00009577597,0.000031781365,0.0001853667,0.00025247902,0.00007123721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002572848,0.0002321647,0.00029979052,0.00009128696,0.00007640542,0.000046652793,0.000108932196,0.000085709944,0.000004646863],"category_scores_gemma":[0.00015777815,0.00017770407,0.0001276057,0.00038614558,0.000038906845,0.000117445656,0.000017507946,0.00013911843,0.0000022027507],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000881214,0.0000776915,0.00008105137,0.00045197544,0.00014730977,0.000002094381,0.000066604334,0.27209118,0.7229171,0.000016425316,0.000038413382,0.0040220404],"study_design_scores_gemma":[0.0019704008,0.0012643454,0.00032338317,0.00035099688,0.0001297926,0.0000052153573,0.00010957078,0.26393098,0.7311805,0.0001508927,0.0000939469,0.00048999715],"about_ca_topic_score_codex":0.0000037593222,"about_ca_topic_score_gemma":0.0000010221395,"teacher_disagreement_score":0.7070605,"about_ca_system_score_codex":0.00020748253,"about_ca_system_score_gemma":0.000033443794,"threshold_uncertainty_score":0.72465616},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992689,0.0065927366,0.00020728404,0.000014486119,0.00007619517,0.00017145956,0.00001113894,0.0001807888,0.00005687617],"genre_scores_gemma":[0.99944174,0.00010979676,0.00031877126,0.000005481777,0.00007843092,0.000025575362,0.000005691324,0.000013248474,0.0000012875095],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985749,0.00005503463,0.00034821525,0.00025815997,0.0004844677,0.00027921365],"domain_scores_gemma":[0.9995749,0.000068339294,0.00004298538,0.0001191567,0.000110148474,0.0000844984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025625265,0.00019270153,0.0003124624,0.00016925992,0.000042210664,0.000014740523,0.00010665726,0.00008969419,0.000025403684],"category_scores_gemma":[0.000041338677,0.00013980358,0.00016621038,0.0006811176,0.0001066042,0.00009746243,0.000035357752,0.00019579203,0.0000025934323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009075602,0.00009687272,0.0042955996,0.00038286898,0.000121589415,0.000003206343,0.000011677159,0.0005442894,0.98361796,0.00012972197,0.000055380664,0.010650089],"study_design_scores_gemma":[0.00019710428,0.00041365306,0.18133669,0.00018108808,0.00006638218,0.0000067636306,0.0000019493734,0.014026223,0.80199504,0.0015236321,0.000012802947,0.00023866762],"about_ca_topic_score_codex":0.000021973236,"about_ca_topic_score_gemma":0.000003254551,"teacher_disagreement_score":0.18162291,"about_ca_system_score_codex":0.000031377764,"about_ca_system_score_gemma":0.000018528483,"threshold_uncertainty_score":0.57010245},"labels":[],"label_agreement":null},{"id":"W4392299301","doi":"10.1088/1361-6579/ad2eb5","title":"Respiratory gating improves correlation between pulse wave transit time and pulmonary artery pressure in experimental pulmonary hypertension","year":2024,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Non-Invasive Vital Sign Monitoring","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":"Medicine; Pulmonary hypertension; Pulmonary artery; Cardiology; Pulse (music); Respiratory system; Pulse wave; Gating; Internal medicine; Blood pressure; Pulse pressure; Anesthesia; Computer science; Telecommunications","score_opus":0.05924459537979716,"score_gpt":0.2325090557162723,"score_spread":0.17326446033647513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392299301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98721707,0.010824129,0.00030359384,0.00002153828,0.00032260997,0.00043945893,0.000008901156,0.00035432362,0.00050838786],"genre_scores_gemma":[0.99925035,0.000024693743,0.00014866678,0.000019845076,0.00041902467,0.000074582145,0.000013926728,0.000041961255,0.0000069212024],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983617,0.00010212323,0.00035557663,0.00045260656,0.0003836637,0.00034429826],"domain_scores_gemma":[0.99957466,0.000096540745,0.000023967623,0.00015843367,0.000036284167,0.00011011437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033975672,0.0002850826,0.00030960937,0.00010419117,0.00007154943,0.000051759744,0.00007230543,0.00015732802,0.000023979543],"category_scores_gemma":[0.000032221575,0.00024362939,0.00007466581,0.00017139957,0.000053320487,0.00028272142,0.00005841173,0.00036915767,0.00003181259],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002106607,0.00005748805,0.0008832663,0.00013312299,0.000046394147,0.000117159005,0.00009014388,0.001217811,0.9842701,0.0000051065895,0.00002389357,0.013134479],"study_design_scores_gemma":[0.00049128965,0.00047665325,0.34767312,0.0012309047,0.000110778215,0.000046264217,0.00016383866,0.088721015,0.5590811,0.0007994453,0.00018959408,0.0010160184],"about_ca_topic_score_codex":0.000010149338,"about_ca_topic_score_gemma":5.817035e-7,"teacher_disagreement_score":0.425189,"about_ca_system_score_codex":0.0001672288,"about_ca_system_score_gemma":0.000012990364,"threshold_uncertainty_score":0.9934918},"labels":[],"label_agreement":null},{"id":"W4394695452","doi":"10.1088/1361-6579/ad3d26","title":"A non-invasive approach to skin cancer diagnosis via graphene electrical tattoos and electrical impedance tomography","year":2024,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"American Cancer Society","keywords":"Skin cancer; Electrical impedance; Electrical impedance tomography; Lesion; Imaging phantom; Biomedical engineering; Cancer; Position (finance); Computer science; Medicine; Radiology; Tomography; Pathology; Internal medicine; Electrical engineering; Engineering","score_opus":0.03652810379404564,"score_gpt":0.2692125795568093,"score_spread":0.23268447576276363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394695452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96884567,0.009540648,0.012003001,0.0016441168,0.0005464174,0.0033928552,0.000014513504,0.00056901295,0.00344379],"genre_scores_gemma":[0.99337614,0.0015583781,0.0007645896,0.0013210346,0.00035300647,0.0025356037,0.0000059835543,0.00002810171,0.00005715904],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9974998,0.00007361185,0.00032097334,0.000849003,0.0007141047,0.00054249784],"domain_scores_gemma":[0.9991013,0.000074422875,0.00003951732,0.00024816417,0.000129421,0.00040717045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027632868,0.00031881497,0.00048125323,0.00043734995,0.000113561786,0.00006077419,0.00011713819,0.00011622251,0.00008444769],"category_scores_gemma":[0.000093775576,0.00022666882,0.00025044242,0.001601883,0.00007271133,0.0000393611,0.000083683284,0.00035524313,0.000039121674],"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":[0.0013080223,0.0033089218,0.005719919,0.00094195304,0.001691868,0.0002630679,0.00046384672,0.0001232362,0.59986186,0.0017849222,0.083290465,0.30124193],"study_design_scores_gemma":[0.005055355,0.015091137,0.7296446,0.0012961887,0.0021632018,0.0007571081,0.00021488074,0.016263215,0.16955355,0.0049470854,0.052083127,0.0029305413],"about_ca_topic_score_codex":0.000072348405,"about_ca_topic_score_gemma":0.000012137434,"teacher_disagreement_score":0.7239247,"about_ca_system_score_codex":0.00021705864,"about_ca_system_score_gemma":0.00005830965,"threshold_uncertainty_score":0.9243286},"labels":[],"label_agreement":null},{"id":"W4396517293","doi":"10.1088/1361-6579/ad45aa","title":"Accelerometer techniques for capturing human movement validated against direct observation: a scoping review","year":2024,"lang":"en","type":"review","venue":"Physiological Measurement","topic":"Non-Invasive Vital Sign Monitoring","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":"Queen's University; McMaster University","funders":"","keywords":"Accelerometer; Movement (music); Computer science; Movement assessment; Acoustics; Biology; Neuroscience; Physics","score_opus":0.33797081545310903,"score_gpt":0.38284230149883325,"score_spread":0.04487148604572422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396517293","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000006372379,0.99051195,0.00057519256,0.000009115936,0.00063921546,0.0061982074,0.00004589658,0.0013004608,0.0007135665],"genre_scores_gemma":[0.0002069184,0.9893841,0.0015138412,0.0001071436,0.00085534196,0.007556073,0.00018130941,0.00018035619,0.000014909385],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9964048,0.00015404726,0.001301655,0.00083763176,0.00066354155,0.0006383018],"domain_scores_gemma":[0.9987517,0.00009594588,0.00022363295,0.0005804101,0.00020482071,0.0001435172],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000959219,0.00094191096,0.0024555894,0.0001700954,0.00013547305,0.00012961723,0.0005594804,0.00029564992,0.000025174682],"category_scores_gemma":[0.00015836243,0.0006827059,0.00095589424,0.00048547162,0.000034207966,0.00012780845,0.00022214006,0.00052775064,0.000053899632],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014184957,0.000059894315,4.6866498e-7,0.5545909,0.0006611265,0.000010586319,0.000008273213,0.000016528003,0.019165928,0.000024866595,0.002483427,0.42297658],"study_design_scores_gemma":[0.00009698037,0.00013984543,0.0000013137616,0.8505352,0.0012640302,0.0000010055934,0.0000019209158,0.0000043052605,0.0057416237,0.0002125621,0.1408734,0.0011277898],"about_ca_topic_score_codex":0.0000030774559,"about_ca_topic_score_gemma":0.0000016264817,"teacher_disagreement_score":0.4218488,"about_ca_system_score_codex":0.0011094522,"about_ca_system_score_gemma":0.000069397014,"threshold_uncertainty_score":0.9995624},"labels":[],"label_agreement":null},{"id":"W4396915073","doi":"10.1088/1361-6579/ad4c36","title":"Wagner diagram for modeling O<sub>2</sub> pathway—calculation and graphical display by the Helsinki O<sub>2</sub> Pathway Tool","year":2024,"lang":"lv","type":"article","venue":"Physiological Measurement","topic":"Cardiovascular and exercise physiology","field":"Medicine","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":"Laurentian University","funders":"Opetus- ja Kulttuuriministeriö","keywords":"Diagram; Graphical display; Computer graphics (images); Computer science; Engineering drawing; Engineering; Database","score_opus":0.04010813876201048,"score_gpt":0.25082126154366996,"score_spread":0.2107131227816595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396915073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94654477,0.023942892,0.022957316,0.0011880508,0.001738867,0.0030490467,0.0002519713,0.00027362327,0.000053476506],"genre_scores_gemma":[0.99130356,0.0042806235,0.000046400502,0.00068080163,0.0019285243,0.0011821976,0.00044726342,0.000121694495,0.000008907706],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99320614,0.0007309819,0.0011677454,0.00190012,0.0015824403,0.0014125892],"domain_scores_gemma":[0.9974028,0.0004444816,0.00015945842,0.0009949185,0.00052739703,0.0004709563],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026289546,0.0010266061,0.0016801464,0.00015387301,0.00067701394,0.00023922765,0.00034918662,0.0007508095,0.00001372341],"category_scores_gemma":[0.00062714185,0.0006363814,0.0017784655,0.0005505123,0.0005152915,0.00021438485,0.00033206918,0.0011701246,0.00012877269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011499291,0.00052789826,0.000007603029,0.00069214933,0.0009575288,0.000028100785,0.00022330032,0.0016767799,0.8546137,0.0016007652,0.0024338884,0.13608833],"study_design_scores_gemma":[0.005114992,0.0031118505,0.004486551,0.0022017432,0.0031814433,0.00010785604,0.00025530806,0.3081279,0.64526373,0.022557868,0.0032636302,0.0023270946],"about_ca_topic_score_codex":0.000032140633,"about_ca_topic_score_gemma":0.0000130946355,"teacher_disagreement_score":0.30645114,"about_ca_system_score_codex":0.0003600557,"about_ca_system_score_gemma":0.00022567496,"threshold_uncertainty_score":0.99960876},"labels":[],"label_agreement":null},{"id":"W4398200019","doi":"10.1088/1361-6579/ad4f4a","title":"Continuous monitoring methods of cerebral compliance and compensatory reserve: a scoping review of human literature","year":2024,"lang":"en","type":"review","venue":"Physiological Measurement","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Intracranial pressure; Context (archaeology); Medicine; Transcranial Doppler; Cerebrospinal fluid; Traumatic brain injury; Internal medicine; Cardiology; Anesthesia; Biology","score_opus":0.421053921142312,"score_gpt":0.4955436898764384,"score_spread":0.07448976873412638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398200019","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001373124,0.9974242,0.000010905432,0.000022583934,0.0002336625,0.0019183768,0.000020519014,0.000040370323,0.00019210318],"genre_scores_gemma":[0.0009209829,0.9966469,0.0020011088,0.000040119474,0.00016994988,0.00015554842,0.000024136963,0.000028303197,0.000012951525],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99642384,0.00092296995,0.0012452338,0.0005890807,0.00059089164,0.00022797252],"domain_scores_gemma":[0.998286,0.0001735002,0.00057324977,0.0005642144,0.00029497404,0.00010806729],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001804052,0.00043062502,0.0038823378,0.00008043555,0.00005069251,0.000015148974,0.0002292192,0.00019259308,0.000023646053],"category_scores_gemma":[0.000472424,0.00025879953,0.00081819104,0.00033702867,0.00022290568,0.00003343612,0.00015688704,0.00063955353,0.0000028662585],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010778163,0.00011283602,0.0000072192165,0.8178176,0.0003867596,0.000010573563,0.000024845202,1.1044517e-8,0.00094724866,0.00010741682,0.00013526673,0.18043938],"study_design_scores_gemma":[0.00021150446,0.00043666607,0.00027485678,0.98962104,0.0021553403,0.00003695521,0.000007793995,3.4134735e-7,0.00029202542,0.00012495795,0.0066314614,0.00020707733],"about_ca_topic_score_codex":0.0000025343293,"about_ca_topic_score_gemma":1.8142029e-7,"teacher_disagreement_score":0.18023232,"about_ca_system_score_codex":0.00005817444,"about_ca_system_score_gemma":0.00010881278,"threshold_uncertainty_score":0.9999864},"labels":[],"label_agreement":null},{"id":"W4400914532","doi":"10.1088/1361-6579/ad66aa","title":"Unveil sleep spindles with concentration of frequency and time (ConceFT)","year":2024,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Sleep and Wakefulness Research","field":"Neuroscience","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":"Sleep (system call); Sleep spindle; Audiology; Computer science; Psychology; Neuroscience; Medicine; Electroencephalography; Slow-wave sleep","score_opus":0.10958813393595615,"score_gpt":0.29164550504523534,"score_spread":0.1820573711092792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400914532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99552983,0.0006234015,0.0003334811,0.00024110796,0.000065752254,0.0002880655,0.000007962006,0.00007559156,0.00283483],"genre_scores_gemma":[0.9997009,0.0000498777,0.000064342385,0.000069186906,0.000053412652,0.000036770238,0.0000012222084,0.0000069989705,0.0000172558],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99852955,0.00014090935,0.0001547977,0.00036872172,0.0005886827,0.00021730963],"domain_scores_gemma":[0.9995935,0.00009312151,0.00002986808,0.0001290774,0.00007862909,0.00007582173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023495658,0.000112005975,0.00015977044,0.000026647122,0.00006451854,0.000044912467,0.00012341842,0.000041970507,0.00015408742],"category_scores_gemma":[0.00021182025,0.00006608208,0.000031982418,0.0001998711,0.0002789637,0.0001087629,0.00003740839,0.00012887514,0.00005558804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038865677,0.000070062844,0.00016421678,0.00004678654,0.000011003621,0.0000115297125,0.000052077958,0.000020575018,0.98555654,0.0065604984,0.000052021664,0.007415826],"study_design_scores_gemma":[0.00032336335,0.0008022999,0.006864194,0.00012641109,0.000015486703,0.000007102407,0.00002006291,0.0024302464,0.98303014,0.0060844356,0.0001412173,0.00015502845],"about_ca_topic_score_codex":0.000011355999,"about_ca_topic_score_gemma":8.3007905e-7,"teacher_disagreement_score":0.0072607975,"about_ca_system_score_codex":0.000043200213,"about_ca_system_score_gemma":0.00004571896,"threshold_uncertainty_score":0.2694749},"labels":[],"label_agreement":null},{"id":"W4402432636","doi":"10.1088/1361-6579/ad79b4","title":"Changes in physiological signal entropy in patients with obstructive sleep apnoea: a systematic review","year":2024,"lang":"en","type":"review","venue":"Physiological Measurement","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","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":"Sleep (system call); Obstructive sleep apnea; Medicine; Computer science; Cardiology","score_opus":0.09039621911531336,"score_gpt":0.30366793012063015,"score_spread":0.21327171100531678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402432636","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004862137,0.9884807,0.0000037755337,0.0001789934,0.00011483791,0.010593538,0.000036090554,0.00007358022,0.00003228661],"genre_scores_gemma":[0.019106282,0.97675806,0.000047663223,0.0004242153,0.00015293535,0.0033351448,0.00011846223,0.000045100016,0.000012151784],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99459,0.0012889864,0.0014924693,0.0011653503,0.00080238166,0.0006608205],"domain_scores_gemma":[0.9984525,0.00017867255,0.000383744,0.000593541,0.00019612639,0.00019544896],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013861915,0.0008385925,0.0066185724,0.00021312422,0.000035075704,0.00002427486,0.00027470375,0.00039594955,0.0001635696],"category_scores_gemma":[0.0005878941,0.00040896717,0.0005751788,0.0006706285,0.00012516584,0.000041994765,0.0001436642,0.0012451903,0.0002039683],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000652594,0.0011845195,0.000021465275,0.9717497,0.00052179274,0.000058042395,0.000028648301,0.0000018548677,0.00004971644,0.00008934756,0.000051708896,0.02617794],"study_design_scores_gemma":[0.0014202998,0.0016888521,0.0031984288,0.98027915,0.0045936317,0.000008546415,0.000013322446,0.000034288227,0.0000014973431,0.00017485178,0.00789374,0.0006934103],"about_ca_topic_score_codex":0.000010854565,"about_ca_topic_score_gemma":0.000013655964,"teacher_disagreement_score":0.02548453,"about_ca_system_score_codex":0.0014149143,"about_ca_system_score_gemma":0.000284287,"threshold_uncertainty_score":0.9998362},"labels":[],"label_agreement":null},{"id":"W4402503402","doi":"10.1088/1361-6579/ad7ad2","title":"Energy expenditure prediction in preschool children: a machine learning approach using accelerometry and external validation","year":2024,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Leibniz-Gemeinschaft; Deutsche Forschungsgemeinschaft; University of Guelph","keywords":"Energy expenditure; Accelerometer; Energy (signal processing); Computer science; Machine learning; Artificial intelligence; Medicine; Statistics; Mathematics","score_opus":0.06978421502764946,"score_gpt":0.2824597093296294,"score_spread":0.2126754943019799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402503402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940638,0.0016352066,0.003385073,0.00003696401,0.000098566496,0.00033015313,0.000006909603,0.00015020867,0.00029309525],"genre_scores_gemma":[0.99869454,0.000071980394,0.0005400123,0.00004153043,0.0005030056,0.00004915237,0.000054096377,0.000021289272,0.000024379045],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99808097,0.00023618081,0.0002447184,0.00055438635,0.0006178393,0.00026593308],"domain_scores_gemma":[0.999587,0.000033690078,0.00005255351,0.00014544492,0.000049186823,0.00013210702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004187821,0.00022214936,0.00034346027,0.0001418199,0.00007562762,0.00006317954,0.00007296411,0.00012627403,0.00007070089],"category_scores_gemma":[0.000086662374,0.00016330204,0.00009152922,0.0002561863,0.000049858798,0.00020312489,0.00011663876,0.00056240376,0.0000070982414],"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":[0.00020201478,0.005960849,0.19661921,0.00038052848,0.0002250858,0.000024715937,0.00010679023,0.002227298,0.77971536,0.00056592445,0.00010696037,0.013865267],"study_design_scores_gemma":[0.0007377511,0.0004951952,0.90576273,0.00033350135,0.000099908146,0.000044583358,0.00001763787,0.078033574,0.012884674,0.0013519388,0.00004261139,0.00019591788],"about_ca_topic_score_codex":0.0001128487,"about_ca_topic_score_gemma":0.0000014298159,"teacher_disagreement_score":0.7668307,"about_ca_system_score_codex":0.0002446381,"about_ca_system_score_gemma":0.000028048362,"threshold_uncertainty_score":0.6659264},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90328884,0.07868773,0.013929286,0.00016905577,0.00058062794,0.0012499599,0.000076947385,0.0008635743,0.0011539772],"genre_scores_gemma":[0.99665123,0.0020277011,0.00093665463,0.000041588082,0.00016417395,0.00013987931,0.0000073807996,0.000029278644,0.0000020999157],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974819,0.00013951589,0.0005893524,0.0004533869,0.0008535868,0.0004822976],"domain_scores_gemma":[0.9990828,0.00014196508,0.00010654413,0.0002596273,0.0002850337,0.00012405422],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00054074766,0.0003424031,0.00061160355,0.00028750696,0.00004764519,0.000014234186,0.00026257295,0.00018287431,0.00004463324],"category_scores_gemma":[0.00009240304,0.00025655588,0.00044495566,0.0018345019,0.00014823707,0.0002183633,0.000033931447,0.00050070137,0.000016391006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002299859,0.0003542923,0.00032310808,0.0007154463,0.00033519516,0.00001605479,0.00014601953,0.00013483313,0.9236569,0.002723698,0.0011215345,0.07024293],"study_design_scores_gemma":[0.0020187623,0.010062265,0.14717713,0.003381953,0.000859243,0.000059435784,0.00053493364,0.1657626,0.6104599,0.05038588,0.0059065805,0.0033912887],"about_ca_topic_score_codex":0.000041066338,"about_ca_topic_score_gemma":0.0000032522291,"teacher_disagreement_score":0.313197,"about_ca_system_score_codex":0.000117510695,"about_ca_system_score_gemma":0.000033640794,"threshold_uncertainty_score":0.9999887},"labels":[],"label_agreement":null},{"id":"W4405036175","doi":"10.1088/1361-6579/ad9af4","title":"Artifact identification and removal methodologies for intracranial pressure signals: a systematic scoping review","year":2024,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","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":"Pan Am Clinic; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artifact (error); Identification (biology); Computer science; Systematic review; Standardization; Artificial intelligence; MEDLINE; Chemistry; Biology","score_opus":0.26825698819244076,"score_gpt":0.4000358523146884,"score_spread":0.13177886412224765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405036175","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03489283,0.89090425,0.05599854,0.0036730545,0.00076610903,0.0130365,0.000018838762,0.00057137024,0.00013853291],"genre_scores_gemma":[0.9834642,0.00813323,0.0062786676,0.00058669964,0.00021023172,0.0012524339,0.000010732598,0.000018454963,0.0000453462],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9980066,0.00041756383,0.00054736034,0.00043863032,0.00040511644,0.00018476351],"domain_scores_gemma":[0.9989293,0.0005235947,0.000100048564,0.00024827506,0.00013262134,0.000066134045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002926021,0.00016944433,0.00067381444,0.00003384957,0.00008199437,0.00005577349,0.00008162325,0.000063105435,0.000032799377],"category_scores_gemma":[0.0029177351,0.00010248539,0.00020865312,0.00011313967,0.00007334899,0.000079926314,0.000025708283,0.00012733479,0.0000125154365],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013758667,0.000098572156,0.000002899189,0.770937,0.0005037423,0.00001961046,0.00008668631,0.0000072682815,0.20875771,0.0007149401,0.0008128956,0.017921079],"study_design_scores_gemma":[0.00097088306,0.0012788695,0.0041904524,0.9514869,0.0047268714,0.00042349246,0.00012308406,0.0028100428,0.022888914,0.010196843,0.000360514,0.00054317457],"about_ca_topic_score_codex":9.0394025e-7,"about_ca_topic_score_gemma":4.7137652e-7,"teacher_disagreement_score":0.9485714,"about_ca_system_score_codex":0.0000263182,"about_ca_system_score_gemma":0.00004620715,"threshold_uncertainty_score":0.4179233},"labels":[],"label_agreement":null},{"id":"W4406898396","doi":"10.1088/1361-6579/adaf73","title":"PhysioEx: a new Python library for explainable sleep staging through deep learning","year":2025,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Obstructive Sleep Apnea Research","field":"Medicine","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":"National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute; University of California, Davis; Dipartimenti di Eccellenza; Università di Pisa; York University; National Institutes of Health; Case Western Reserve University; Fonds Wetenschappelijk Onderzoek; University of Washington; Vlaamse regering; European Commission; Johns Hopkins University; University of Minnesota","keywords":"Computer science; Workflow; Toolbox; Python (programming language); Artificial intelligence; Preprocessor; Modular design; Deep learning; Sleep medicine; Pipeline (software); Sleep (system call); Benchmark (surveying); Machine learning; Programming language; Medicine","score_opus":0.08895725188585488,"score_gpt":0.33242141269409003,"score_spread":0.24346416080823516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406898396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6391954,0.008146863,0.26733595,0.01618583,0.001437688,0.010278485,0.000019242856,0.0024659242,0.054934643],"genre_scores_gemma":[0.9870708,0.0000535381,0.010231659,0.0007789819,0.00038217774,0.00028676615,0.00003758117,0.00004193154,0.0011165858],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99745494,0.00016400647,0.00033364358,0.0006528856,0.00068642996,0.00070810464],"domain_scores_gemma":[0.99896175,0.0001518623,0.00008283575,0.00035925276,0.00025078733,0.0001934952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003417235,0.0002769947,0.00051827467,0.00009987285,0.00028383016,0.000055587785,0.00023183478,0.00011699408,0.000311706],"category_scores_gemma":[0.000721583,0.00020989809,0.0002485618,0.0004577511,0.00009971668,0.0002596095,0.00024563877,0.00047901273,0.000047007266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025753782,0.0009875149,0.003522298,0.000976583,0.0006874797,0.000026694903,0.00047474465,0.0007381702,0.7831936,0.011337566,0.0077372543,0.18774274],"study_design_scores_gemma":[0.020028617,0.006229293,0.15372737,0.0012646733,0.0006878624,0.000011235816,0.0037814965,0.024590794,0.5060668,0.118729934,0.16322982,0.0016520878],"about_ca_topic_score_codex":0.000020432552,"about_ca_topic_score_gemma":7.22779e-7,"teacher_disagreement_score":0.34787542,"about_ca_system_score_codex":0.00028138494,"about_ca_system_score_gemma":0.00010283116,"threshold_uncertainty_score":0.85593957},"labels":[],"label_agreement":null},{"id":"W4407732198","doi":"10.1088/1361-6579/adb82c","title":"In-water electrical impedance tomography: EIT and the sea","year":2025,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","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":"Office of Naval Research","keywords":"Electrical impedance tomography; Tomography; Underwater; Acoustics; Iterative reconstruction; Electrical impedance; Computer science; Engineering; Physics; Electrical engineering; Geology; Computer vision; Oceanography; Optics","score_opus":0.040034223061421584,"score_gpt":0.2596995389261713,"score_spread":0.21966531586474974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407732198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931061,0.00022050628,0.00010475296,0.005180815,0.000098960176,0.00030599337,3.1767303e-7,0.00008885039,0.00089370355],"genre_scores_gemma":[0.9991034,0.000035563793,0.00022880542,0.00046432213,0.000018748156,0.000110759975,2.9080388e-7,0.0000028262396,0.00003524691],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99864125,0.00020946507,0.00018786083,0.00032271093,0.00031309767,0.00032563432],"domain_scores_gemma":[0.9996145,0.00006795977,0.000021633601,0.0002614749,0.000008902422,0.000025558844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009541414,0.00012649225,0.00018674167,0.00003144222,0.00009867261,0.000022806998,0.00032552617,0.00006884766,0.000045885532],"category_scores_gemma":[0.00016276025,0.000058805315,0.000051625622,0.0002450704,0.0005122585,0.000059886905,0.0004175727,0.00021823776,0.00004779743],"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":[0.00078615296,0.0006762204,0.21976212,0.0000497488,0.00010977576,0.000017211898,0.00046992034,0.00043570722,0.7256595,0.014741951,0.010568886,0.026722798],"study_design_scores_gemma":[0.0013638411,0.00012934067,0.6069331,0.0000280533,0.000018288956,0.0000014703264,0.000032642427,0.00031746938,0.18496239,0.20299478,0.0029755577,0.00024306381],"about_ca_topic_score_codex":0.00018709758,"about_ca_topic_score_gemma":0.000012288784,"teacher_disagreement_score":0.5406971,"about_ca_system_score_codex":0.0001407342,"about_ca_system_score_gemma":0.0000030575764,"threshold_uncertainty_score":0.23980112},"labels":[],"label_agreement":null},{"id":"W4409318342","doi":"10.1088/1361-6579/adcb86","title":"Exploring the limitations of blood pressure estimation using the photoplethysmography signal","year":2025,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Non-Invasive Vital Sign Monitoring","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":"Polytechnique Montréal","funders":"","keywords":"Photoplethysmogram; Blood pressure; Diastole; Medicine; Benchmark (surveying); Cardiology; SIGNAL (programming language); Computer science; Internal medicine; Artificial intelligence; Computer vision","score_opus":0.2596373923349522,"score_gpt":0.265533540676429,"score_spread":0.005896148341476781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409318342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96371615,0.0025389986,0.031524483,0.00009963395,0.0006100694,0.00067992305,0.0000053523145,0.00018000654,0.00064537174],"genre_scores_gemma":[0.9985644,0.00010337225,0.0010436838,0.000019146119,0.00007768684,0.00017976573,0.0000010634177,0.000009485657,0.0000013518737],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989907,0.00009597914,0.00023951104,0.00014447625,0.00033677186,0.00019256424],"domain_scores_gemma":[0.99929976,0.0002661339,0.0000456028,0.00022910944,0.00013532955,0.000024079494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032044502,0.0001424665,0.00015205491,0.000054065134,0.00018354038,0.000025477062,0.00025304747,0.000031087766,0.0000041717026],"category_scores_gemma":[0.0001545509,0.0000805263,0.000112647846,0.0004257155,0.000086493645,0.00010836422,0.000054112552,0.0001881125,0.000001430761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005227099,0.000043069376,0.00012611372,0.000043542204,0.00024183576,2.458712e-7,0.00012543816,0.16613765,0.8294284,0.00055570394,0.000025074016,0.0032677029],"study_design_scores_gemma":[0.00029304432,0.00008008088,0.019805783,0.00022454908,0.0005898176,8.624678e-7,0.0003033264,0.01310671,0.96021074,0.0050035445,0.00018105797,0.00020045612],"about_ca_topic_score_codex":0.000014892064,"about_ca_topic_score_gemma":0.0000019722752,"teacher_disagreement_score":0.15303093,"about_ca_system_score_codex":0.000023620205,"about_ca_system_score_gemma":0.000015788226,"threshold_uncertainty_score":0.3283767},"labels":[],"label_agreement":null},{"id":"W4412488771","doi":"10.1088/1361-6579/adf0bd","title":"Automated mean linear intercept measurement: quantifying bias and parameter sensitivity in lung morphometry","year":2025,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Climate variability and models","field":"Environmental Science","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":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Ottawa Hospital Research Institute; University of Ottawa","keywords":"Sensitivity (control systems); Statistics; Mathematics; Computer science; Econometrics; Engineering","score_opus":0.19349480441449787,"score_gpt":0.31882849279554537,"score_spread":0.1253336883810475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412488771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99632293,0.0000913443,0.0017989113,0.00026434002,0.00012698893,0.0004601205,0.000004373868,0.00019694108,0.00073406164],"genre_scores_gemma":[0.99853647,0.000030124962,0.00095091015,0.0004123219,0.000013212151,0.000038971266,0.000003437243,0.000008350843,0.00000618026],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99730045,0.0004834536,0.00042649294,0.0006776377,0.00068018824,0.00043177523],"domain_scores_gemma":[0.9993053,0.00014340728,0.000078861245,0.00032377773,0.00004640412,0.00010227008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033681758,0.00025343822,0.00039311245,0.00008512112,0.0001249163,0.0000372367,0.00014581822,0.0001323868,0.00020082839],"category_scores_gemma":[0.0007904394,0.00019787787,0.00009009562,0.00044193573,0.00021443074,0.00013417652,0.00040393916,0.00027678808,0.000047952803],"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":[0.0002183072,0.0012121649,0.15913866,0.0002252312,0.0000937273,0.000019415755,0.0005706383,0.0133047225,0.81880367,0.00023739658,0.0010118078,0.005164228],"study_design_scores_gemma":[0.00075453834,0.00009787926,0.6752324,0.00023227176,0.000038986374,0.0000023865614,0.00011363715,0.3164248,0.0053401086,0.0012707958,0.00014503436,0.00034717756],"about_ca_topic_score_codex":0.0005339358,"about_ca_topic_score_gemma":0.0005781427,"teacher_disagreement_score":0.81346357,"about_ca_system_score_codex":0.0006673797,"about_ca_system_score_gemma":0.000016080234,"threshold_uncertainty_score":0.80692255},"labels":[],"label_agreement":null},{"id":"W4414192602","doi":"10.1088/1361-6579/ae06ed","title":"Cognitive impairment assessment using eye-tracking: multilevel saccade paradigms with differential analysis and attention-based neural networks","year":2025,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Cognitive Science and Mapping","field":"Computer Science","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":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China","keywords":"Saccade; Eye movement; Cognition; Set (abstract data type); Artificial neural network; Receiver operating characteristic; Feature selection","score_opus":0.07771350536375494,"score_gpt":0.33538511281026806,"score_spread":0.25767160744651313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414192602","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43179646,0.0000379163,0.56754416,0.00015447955,0.00008532175,0.00029245473,0.0000017898302,0.000052629013,0.000034812358],"genre_scores_gemma":[0.99574053,0.000005069307,0.0036939515,0.00043543658,0.00003877466,0.00006901474,0.000008611995,0.000004206619,0.00000437509],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974647,0.00024222147,0.00030888958,0.0008352511,0.000658226,0.0004907107],"domain_scores_gemma":[0.99895513,0.0001199958,0.00015415694,0.00025040153,0.00038076303,0.00013952408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046352518,0.00027992757,0.00040051405,0.0002256989,0.0004002708,0.00026061895,0.00036082434,0.00006456709,0.00001286001],"category_scores_gemma":[0.000042100983,0.000193124,0.00017073125,0.0009873234,0.0001756877,0.00024131525,0.00023629036,0.0002351667,7.4689564e-7],"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":[0.00058741774,0.0045039356,0.4706248,0.00020228031,0.004481544,0.000086425454,0.00047282534,0.11223234,0.20436591,0.005922742,0.00005274146,0.19646704],"study_design_scores_gemma":[0.00055471796,0.00013612713,0.5086256,0.000073187635,0.00018840707,3.6753738e-7,0.000032365937,0.4898098,0.000303087,0.00012828042,0.0000011564437,0.0001468849],"about_ca_topic_score_codex":0.000042398085,"about_ca_topic_score_gemma":0.00001479586,"teacher_disagreement_score":0.5639441,"about_ca_system_score_codex":0.00016677183,"about_ca_system_score_gemma":0.00010043378,"threshold_uncertainty_score":0.7875368},"labels":[],"label_agreement":null},{"id":"W4414192680","doi":"10.1088/1361-6579/ae06ee","title":"Quantifying movement fluency in amputees in key functional tasks","year":2025,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Muscle activation and electromyography studies","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":"Trinity College","funders":"NIHR Cambridge Biomedical Research Centre","keywords":"Fluency; Movement (music); Functional movement; Amputation; Smoothness; Key (lock); Rehabilitation","score_opus":0.08605983290246823,"score_gpt":0.25977507724217797,"score_spread":0.17371524433970975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414192680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98967123,0.0011965,0.0028796117,0.00035161834,0.00038377903,0.00031905514,0.0000012121029,0.0001838378,0.005013145],"genre_scores_gemma":[0.9992826,0.0001360377,0.00013794558,0.00027268648,0.000025298874,0.00013274125,0.0000028848547,0.0000045713396,0.000005226207],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990391,0.000038553924,0.00025301252,0.00019491647,0.00022157365,0.00025283563],"domain_scores_gemma":[0.99979144,0.000027058188,0.00001563731,0.00010152822,0.00004233233,0.000022016544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002302336,0.00013271515,0.00018575466,0.00018019174,0.00003994728,0.000011936086,0.000078968864,0.00004625663,0.000033880176],"category_scores_gemma":[0.00004631378,0.00011186084,0.00005295031,0.00046466244,0.000019353944,0.00005080065,0.000028693707,0.00017014152,0.0000029688454],"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":[0.00010038855,0.0007846104,0.07485951,0.00027824406,0.0002469709,0.0000058022424,0.00029498522,0.07085139,0.7570994,0.016983343,0.0073715383,0.07112381],"study_design_scores_gemma":[0.0004227532,0.00003184311,0.9902589,0.000084384206,0.0000029819983,4.3564437e-8,0.00006028024,0.0015431913,0.0035559807,0.0032920586,0.0006206915,0.00012690532],"about_ca_topic_score_codex":0.000029433866,"about_ca_topic_score_gemma":0.00014538634,"teacher_disagreement_score":0.9153994,"about_ca_system_score_codex":0.00021000406,"about_ca_system_score_gemma":0.000011883955,"threshold_uncertainty_score":0.45615527},"labels":[],"label_agreement":null},{"id":"W4415307057","doi":"10.1088/1361-6579/ae60df","title":"Automatic Sleep Staging from CPAP Airflow using a Dual Fusion Multi-Period Convolutional Neural Network","year":2025,"lang":"en","type":"preprint","venue":"Physiological Measurement","topic":"Obstructive Sleep Apnea Research","field":"Medicine","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":"York University; Yale University","keywords":"Convolutional neural network; Deep learning; Leverage (statistics); Sleep (system call); Continuous positive airway pressure; Polysomnography; Artificial neural network; Feature extraction; Conditional random field","score_opus":0.16599860431007654,"score_gpt":0.3521246314981541,"score_spread":0.18612602718807755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415307057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851883,0.0017814161,0.0076273703,0.0005778235,0.0018547256,0.0023080937,0.00018879442,0.00034198136,0.00013146347],"genre_scores_gemma":[0.9727178,0.000017212486,0.025027141,0.0003033018,0.0013379429,0.00021923563,0.0003207453,0.00003881572,0.000017811912],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99368846,0.00075082015,0.0008911013,0.001428367,0.0022184984,0.0010227594],"domain_scores_gemma":[0.9973671,0.00015200484,0.0003261776,0.00088900473,0.0008828192,0.00038289613],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00089615193,0.0007188831,0.0013295653,0.00016766871,0.0003717062,0.00008482687,0.00041263754,0.00052325684,0.0009148563],"category_scores_gemma":[0.00070294325,0.00057319517,0.00053170463,0.00030766072,0.00032772534,0.00006368695,0.0020437196,0.0019923728,0.00004541904],"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":[0.002285358,0.0042760004,0.03578885,0.0028060847,0.004742529,0.00056207244,0.0007556869,0.16689615,0.69180214,0.00030204543,0.0008777691,0.08890531],"study_design_scores_gemma":[0.0022612864,0.00019491784,0.27285862,0.0010291964,0.0003810862,0.000008271502,0.00008823557,0.7211177,0.0006408385,0.00091619306,0.000032344917,0.0004713509],"about_ca_topic_score_codex":0.00027780244,"about_ca_topic_score_gemma":0.000012752091,"teacher_disagreement_score":0.69116133,"about_ca_system_score_codex":0.0018268594,"about_ca_system_score_gemma":0.00035984005,"threshold_uncertainty_score":0.99999845},"labels":[],"label_agreement":null},{"id":"W4415890419","doi":"10.1088/1361-6579/ae1b70","title":"High-fidelity measurement of pulse arrival time in critically ill children using standard bedside monitoring equipment","year":2025,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Non-Invasive Vital Sign Monitoring","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":"Hospital for Sick Children; Canada Research Chairs; University of Toronto","funders":"","keywords":"Photoplethysmogram; Waveform; Critically ill; Standardization; Intensive care; Arrival time; Temporal resolution; Pulse (music)","score_opus":0.04659741102612281,"score_gpt":0.2681772433490045,"score_spread":0.2215798323228817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415890419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872042,0.0009546014,0.00977305,0.000055608547,0.0007386896,0.000701575,0.000017563278,0.00020060108,0.00035414472],"genre_scores_gemma":[0.99371946,0.000041835934,0.0058743865,0.00003024951,0.00022749955,0.00006946986,0.000003176973,0.00003236784,0.0000015366337],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9961614,0.00018563117,0.0009283429,0.0005216176,0.0014792973,0.0007236958],"domain_scores_gemma":[0.9981617,0.00006471034,0.00007863775,0.00044676967,0.00108656,0.00016164889],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014378874,0.00042792116,0.00075118,0.00019565757,0.000089676854,0.000038458296,0.00039305494,0.00015461243,0.000041818825],"category_scores_gemma":[0.00082948804,0.00039404945,0.0001746093,0.00042459366,0.00010017613,0.00014343233,0.0002102384,0.00039434375,0.000012896554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084505,0.00017158013,0.014073947,0.00014287206,0.0001688779,0.00000608751,0.000022984823,0.01919794,0.9631698,0.000118307085,0.0000347726,0.002808321],"study_design_scores_gemma":[0.0010045313,0.00017663586,0.20844357,0.0010172067,0.000067343695,9.997741e-7,0.000034968933,0.00034568037,0.7855198,0.0029580647,0.000009456786,0.00042178336],"about_ca_topic_score_codex":0.00013246706,"about_ca_topic_score_gemma":0.0000071501713,"teacher_disagreement_score":0.19436961,"about_ca_system_score_codex":0.0021836183,"about_ca_system_score_gemma":0.000104963314,"threshold_uncertainty_score":0.99985117},"labels":[],"label_agreement":null},{"id":"W4416117939","doi":"10.1088/1361-6579/ae1e57","title":"Bioimpedance for peripheral edema assessment in heart failure and clinical practice: a systematic review","year":2025,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Body Composition Measurement Techniques","field":"Medicine","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":"Cegep de Saint Jerome; McGill University; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé","keywords":"Wearable computer; Heart failure; Peripheral edema; Software portability; Telemedicine; Peripheral","score_opus":0.09283758079891466,"score_gpt":0.44888519431855306,"score_spread":0.35604761351963843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416117939","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09957377,0.24642879,0.090128615,0.4433236,0.0017911092,0.10940301,0.000046506197,0.002380959,0.0069236215],"genre_scores_gemma":[0.9165734,0.0020495965,0.06332622,0.015947526,0.00009291887,0.0019630052,0.000010163907,0.000014704148,0.00002245922],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99687284,0.00063820236,0.0010589787,0.00052280165,0.0006230225,0.00028412294],"domain_scores_gemma":[0.99837685,0.0002722983,0.00020535366,0.00041120534,0.0006278393,0.00010645348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044987863,0.000234697,0.0011839214,0.0000666231,0.00007757835,0.000026990254,0.000121403486,0.00012894825,0.000014005112],"category_scores_gemma":[0.0027056893,0.00016335277,0.00022582275,0.00023165811,0.00009169385,0.00008912703,0.00006892289,0.00036641504,0.0000029648024],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011462058,0.007321617,0.011168775,0.669744,0.0013533361,0.000040416606,0.000043524273,0.0000033688577,0.18052053,0.011751012,0.11510291,0.0018042639],"study_design_scores_gemma":[0.012005711,0.008439116,0.22519907,0.7195249,0.005280554,0.00016092807,0.0004769995,0.0015252436,0.003196663,0.005495186,0.017232167,0.0014634613],"about_ca_topic_score_codex":0.0000046375158,"about_ca_topic_score_gemma":0.0000040799127,"teacher_disagreement_score":0.8169997,"about_ca_system_score_codex":0.00037082867,"about_ca_system_score_gemma":0.0001929496,"threshold_uncertainty_score":0.6661333},"labels":[],"label_agreement":null},{"id":"W4417174763","doi":"10.1088/1361-6579/ae2aa8","title":"Relationship between cerebral near-infrared spectroscopy signals and intracranial pressure: a systematic scoping review of the human and animal literature","year":2025,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","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":"Pan Am Clinic; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation; Research Manitoba; Health Sciences Centre Foundation","keywords":"Systematic review; Ischemia; Human studies; MEDLINE; Intracranial pressure; Animal studies; Acquired brain injury; Cerebral perfusion pressure","score_opus":0.06363354056966078,"score_gpt":0.35818501533841407,"score_spread":0.2945514747687533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417174763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8506884,0.13628516,0.0006727556,0.004335807,0.00006919567,0.005826829,0.00001638488,0.00020535784,0.0019001232],"genre_scores_gemma":[0.99694395,0.00036207624,0.0020802156,0.00044402768,0.000052097366,0.000072692514,0.000003518955,0.0000066873927,0.000034733297],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99840987,0.00028708146,0.0004845776,0.0002814039,0.00035165902,0.00018541754],"domain_scores_gemma":[0.9991822,0.00015522355,0.00013985894,0.00028150418,0.0001712165,0.00007000194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007612344,0.00016997645,0.00070222456,0.00003159481,0.0001719863,0.000051201583,0.00010169997,0.00009099643,0.000011581266],"category_scores_gemma":[0.001242182,0.00009506654,0.00009581478,0.00022835088,0.0002134961,0.00005017653,0.0000931197,0.0003490027,4.5209822e-7],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011885877,0.00025565622,0.11619616,0.5580343,0.0002330672,0.0000046666696,0.00014850029,2.6429103e-7,0.31603146,0.007891711,0.0010325495,0.000052804276],"study_design_scores_gemma":[0.0005028304,0.0005211738,0.4792509,0.49664253,0.0007288578,0.000007706,0.000008474712,0.000047792924,0.0153314285,0.006817909,0.000003958303,0.00013644015],"about_ca_topic_score_codex":0.0000032873713,"about_ca_topic_score_gemma":2.8618803e-7,"teacher_disagreement_score":0.36305472,"about_ca_system_score_codex":0.000038512648,"about_ca_system_score_gemma":0.000059566537,"threshold_uncertainty_score":0.3876701},"labels":[],"label_agreement":null},{"id":"W4417174767","doi":"10.1088/1361-6579/ae2aa7","title":"An electrical pulse artifact signal for estimating arterial blood pressure: a proof-of-concept study","year":2025,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Non-Invasive Vital Sign Monitoring","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 Health Network; Toronto Rehabilitation Institute; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Artifact (error); Blood pressure; Cuff; SIGNAL (programming language); Carotid arteries; Convolutional neural network; Modality (human–computer interaction); Pulse (music)","score_opus":0.050441641865162964,"score_gpt":0.2807623402120221,"score_spread":0.23032069834685914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417174767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8721894,0.000456278,0.12374952,0.000010976466,0.0007325498,0.002428974,0.000013733394,0.000308407,0.000110132714],"genre_scores_gemma":[0.99267846,3.7251758e-7,0.0062589585,0.000008925142,0.00045403265,0.00057046086,0.00000489112,0.000021926904,0.0000019665495],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99818045,0.00012344426,0.00046096186,0.00039780585,0.00040705438,0.00043027353],"domain_scores_gemma":[0.99925506,0.0001139425,0.00006580374,0.00027791905,0.00018868613,0.00009856756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004055452,0.0002679533,0.00043524097,0.000069239904,0.0000993646,0.000042102878,0.0002918586,0.00009227968,0.000026624028],"category_scores_gemma":[0.00019733983,0.00022126539,0.00011691131,0.0002362765,0.000041639578,0.00011142293,0.000043440665,0.00019215126,0.0000013934806],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011773926,0.00127281,0.00045002645,0.000107263026,0.00037293287,0.0000022861534,0.00011243958,0.03319689,0.9448955,0.00005483786,0.0000590342,0.01935825],"study_design_scores_gemma":[0.0017829516,0.0025834558,0.0055608265,0.00010667763,0.00040328,7.4976066e-7,0.000053959648,0.03266705,0.9542494,0.0022181054,0.00001593521,0.0003576159],"about_ca_topic_score_codex":0.000006280663,"about_ca_topic_score_gemma":0.0000013774055,"teacher_disagreement_score":0.12048904,"about_ca_system_score_codex":0.00006191206,"about_ca_system_score_gemma":0.000039612336,"threshold_uncertainty_score":0.9022941},"labels":[],"label_agreement":null}]}