{"meta":{"query_hash":"dfe0e143aa08","filters":{"venue":"IEEE Engineering in Medicine and Biology Magazine"},"cohort_total":43,"direct_labels_cover":0,"predictions_cover":43,"exported":43,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/dfe0e143aa08","api":"https://metacan.xera.ac/api/v1/cohort?venue=IEEE+Engineering+in+Medicine+and+Biology+Magazine"},"results":[{"id":"W1511462259","doi":"10.1109/memb.2003.1237528","title":"Risk management","year":2003,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Risk and Safety Analysis","field":"Decision Sciences","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":"Semtech (Canada)","funders":"","keywords":"Traceability; Risk management; Documentation; Risk analysis (engineering); Risk assessment; Audit; Audit risk; IT risk management; Computer science; Control (management); Business; Accounting; Software engineering; Computer security; Finance","score_opus":0.05658779136850564,"score_gpt":0.34448281105544243,"score_spread":0.28789501968693676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1511462259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8339255,0.0056409827,0.10682464,0.0033465063,0.0016876173,0.00028602875,0.0000063312577,0.000102970036,0.048179433],"genre_scores_gemma":[0.99033886,0.004727908,0.0032508732,0.00017689605,0.00010316445,0.000007762267,0.0000021341077,0.0000067071096,0.0013856739],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99877185,0.000111876936,0.00041781837,0.00031931343,0.00016496406,0.00021419393],"domain_scores_gemma":[0.99904585,0.0005116992,0.00006466865,0.00026923424,0.000035302528,0.00007323926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002363925,0.00012171008,0.0003281945,0.00048452243,0.000036152964,0.000009068108,0.00017829827,0.00007075011,0.00017323972],"category_scores_gemma":[0.0011063901,0.00007565009,0.000037165082,0.0007513506,0.00008951533,0.000043588865,0.000020901669,0.00016506089,0.00008686111],"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":[0.00007629183,0.00014204253,0.49658296,0.000049599123,0.00033060394,0.00023205324,0.0011743967,0.030099014,0.0039946837,0.067996226,0.047446866,0.35187528],"study_design_scores_gemma":[0.003204512,0.0004232878,0.17486848,0.00007504597,0.00012369601,0.000048501606,0.00045057386,0.021605985,0.00015242204,0.056014854,0.7425635,0.0004691405],"about_ca_topic_score_codex":0.000016007205,"about_ca_topic_score_gemma":0.000021111866,"teacher_disagreement_score":0.69511664,"about_ca_system_score_codex":0.00001078386,"about_ca_system_score_gemma":0.000004183785,"threshold_uncertainty_score":0.30849212},"labels":[],"label_agreement":null},{"id":"W1965900246","doi":"10.1109/memb.2007.384086","title":"Climbing the ladder in academia [Student's Corner]","year":2007,"lang":"en","type":"review","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University; Cairo University; University of Auckland; Johns Hopkins University; Georgia Institute of Technology","keywords":"Climbing; Engineering; Computer science; Mathematics education; Engineering management; Artificial intelligence; Aeronautics; Medical education; Psychology; Medicine; Structural engineering","score_opus":0.3254290050776984,"score_gpt":0.5212695213275002,"score_spread":0.19584051624980175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965900246","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":[0.0010212933,0.9923546,0.00006853437,0.0039600944,0.0005658269,0.0010870099,0.000003778601,0.00004378736,0.0008951262],"genre_scores_gemma":[0.0004995651,0.9937198,0.000058254944,0.003807533,0.0013938084,0.00008331184,0.000059805276,0.000046406094,0.0003314716],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966437,0.00015584177,0.0010761188,0.0004631563,0.00031073444,0.0013504557],"domain_scores_gemma":[0.99625945,0.0018941163,0.0001174592,0.0003226469,0.000042263084,0.0013640835],"candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0047481135,0.00044191512,0.0020973433,0.000921135,0.000026729815,0.00000559218,0.0002489059,0.0017266925,0.0000626241],"category_scores_gemma":[0.010534455,0.00023147075,0.000101049634,0.0009512425,0.00032115486,0.000029581226,0.000078513214,0.0064132297,0.00003847662],"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":[0.00004336827,0.00007151678,0.0011809412,0.013603611,0.000084342195,0.0005686761,0.00023634099,0.000002571445,0.000026672396,0.00010278341,0.014269166,0.96981],"study_design_scores_gemma":[0.0016832962,0.00051837583,0.0016570792,0.020857772,0.000134585,0.00030241307,0.000022416247,0.000077826815,4.776782e-7,0.0000061807023,0.9745555,0.0001840805],"about_ca_topic_score_codex":0.0000536737,"about_ca_topic_score_gemma":0.000028840968,"teacher_disagreement_score":0.96962595,"about_ca_system_score_codex":0.0002388415,"about_ca_system_score_gemma":0.0008277436,"threshold_uncertainty_score":0.9995693},"labels":[],"label_agreement":null},{"id":"W1968912357","doi":"10.1109/memb.2008.927994","title":"Student's Corner","year":2008,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Innovations in Educational Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Sugar; Computer science; Engineering; Medical education; Medicine; Food science; Chemistry","score_opus":0.09156418184550451,"score_gpt":0.41876410574365486,"score_spread":0.32719992389815034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968912357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97854215,0.00037793533,0.0019731259,0.0040452913,0.0020699466,0.00011312559,6.5649095e-7,0.000055438908,0.012822357],"genre_scores_gemma":[0.9908125,0.0004564143,0.00573901,0.00043469932,0.0013468575,0.000018253486,0.000004428082,0.000006233543,0.0011816357],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994019,0.00006024068,0.00016461626,0.00012624018,0.00007358097,0.0001734055],"domain_scores_gemma":[0.9995207,0.00028163998,0.000024813302,0.00007384883,0.000059720882,0.000039240596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076764025,0.000067294255,0.00013620297,0.0001946927,0.00008996407,0.0000020737168,0.00009765716,0.00007768593,0.00007023922],"category_scores_gemma":[0.00064461527,0.000056392422,0.000008091235,0.00042012485,0.0003423224,0.000040964966,0.000010554796,0.00014327593,0.000010773493],"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":[0.00002013596,0.00020875067,0.66066283,0.00003971237,0.000060982136,0.000049016267,0.03491167,0.00056306436,0.02040488,0.2198207,0.05234767,0.010910621],"study_design_scores_gemma":[0.0009095323,0.00016124273,0.5737155,0.000061317034,0.000009981498,0.00003188796,0.0009311692,0.0002287346,0.00006951395,0.0011561671,0.4224934,0.00023156496],"about_ca_topic_score_codex":0.00010590986,"about_ca_topic_score_gemma":0.00003504541,"teacher_disagreement_score":0.37014574,"about_ca_system_score_codex":0.000037384543,"about_ca_system_score_gemma":0.00004686446,"threshold_uncertainty_score":0.22996162},"labels":[],"label_agreement":null},{"id":"W1969921253","doi":"10.1109/51.982275","title":"Estimation and application of EMG amplitude during dynamic contractions","year":2001,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Geophysics and Sensor Technology","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Amplitude; Biomedical engineering; Electromyography; Computer science; Engineering; Medicine; Physics; Physical medicine and rehabilitation","score_opus":0.007792502496139665,"score_gpt":0.2427839538200307,"score_spread":0.23499145132389104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969921253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94996226,0.0004720887,0.049032077,0.00016130497,0.0000936203,0.000090255024,0.000001631441,0.000106822175,0.000079957215],"genre_scores_gemma":[0.99854904,0.00079256337,0.00057463394,0.0000067048654,0.000032298925,0.000015609268,0.00000957795,0.000009902242,0.000009649806],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999546,0.000003984629,0.00018632448,0.000112323185,0.000022869812,0.00012849996],"domain_scores_gemma":[0.999796,0.00004922081,0.00002200187,0.000093733346,0.0000133164995,0.0000257678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057883317,0.000095375566,0.0001972308,0.00018548247,0.000013654264,0.0000016406965,0.00003571297,0.00009155536,0.000002240728],"category_scores_gemma":[0.00002535131,0.00008764692,0.00000850763,0.00015507442,0.00006423972,0.00003208944,0.0000071114027,0.0001314174,0.0000015721174],"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":[0.00000820497,0.000015256381,0.0061252685,0.00014246005,0.000025826339,0.000004623663,0.00010289508,0.056763247,0.91303,0.0011554743,0.000014627706,0.02261207],"study_design_scores_gemma":[0.0007964354,0.00008043257,0.12742567,0.000050996565,0.000016002157,0.000070148184,0.000019933457,0.8690948,0.0012424076,0.0005687381,0.0005112387,0.00012320875],"about_ca_topic_score_codex":0.000020069627,"about_ca_topic_score_gemma":0.00002049967,"teacher_disagreement_score":0.9117876,"about_ca_system_score_codex":0.000013940465,"about_ca_system_score_gemma":0.0000012893623,"threshold_uncertainty_score":0.35741377},"labels":[],"label_agreement":null},{"id":"W1973195739","doi":"10.1109/memb.2009.932488","title":"Communicating your research in lay language [Student's corner]","year":2009,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Engineering; Engineering ethics","score_opus":0.326485164927359,"score_gpt":0.5814126223470621,"score_spread":0.25492745741970313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973195739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982188,0.001459159,0.0000386264,0.0111139165,0.0003566228,0.000349668,0.0000010095747,0.00003077197,0.004462265],"genre_scores_gemma":[0.9970872,0.00092929916,0.00030589735,0.00080441183,0.0004977317,0.00004738083,0.00001303227,0.0000056684007,0.00030938975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99803954,0.00045973915,0.0004110567,0.00021027574,0.00014289356,0.00073648454],"domain_scores_gemma":[0.99838096,0.0011181049,0.000037982198,0.0002352485,0.00006478785,0.0001629376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052413386,0.00008922894,0.00024025094,0.0005626308,0.00015151568,0.0000033851916,0.00025806171,0.00014311391,0.00005463238],"category_scores_gemma":[0.00091555755,0.00006592019,0.000007842821,0.0008057658,0.00012794395,0.000055427456,0.000053727897,0.0013524648,0.00004696319],"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":[0.00010004951,0.00026557257,0.7821285,0.0005582963,0.000009364596,0.00007149724,0.06488805,0.00024222884,0.081043005,0.0022788031,0.035174575,0.033240013],"study_design_scores_gemma":[0.0018263098,0.00072737236,0.9644239,0.0009949125,0.0000016514159,0.0000056089375,0.00827439,0.0042985054,0.000022037797,0.0002553312,0.01902837,0.00014163497],"about_ca_topic_score_codex":0.0007741504,"about_ca_topic_score_gemma":0.00040761117,"teacher_disagreement_score":0.18229534,"about_ca_system_score_codex":0.00010905516,"about_ca_system_score_gemma":0.00012158554,"threshold_uncertainty_score":0.58758616},"labels":[],"label_agreement":null},{"id":"W1975573189","doi":"10.1109/emb.2007.910273","title":"MRI-Compatible Robotics","year":2008,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Institute of Advanced Industrial Science and Technology; University of Tokyo; Canadian Institute for Advanced Research","keywords":"Robotics; Artificial intelligence; Medical robotics; Focus (optics); Computer science; Medical physics; Robot; Medicine; Physics","score_opus":0.038737858221526644,"score_gpt":0.2622039630285165,"score_spread":0.22346610480698986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975573189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8300253,0.0032285813,0.15980761,0.0014293336,0.0011539432,0.00029577396,0.000005543624,0.00069636037,0.003357538],"genre_scores_gemma":[0.9927629,0.0015382973,0.00520043,0.00007264217,0.00029261448,0.00001808269,0.000014081033,0.000022243703,0.000078656594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940634,0.00000460689,0.00020513499,0.00013431942,0.000036556445,0.00021301638],"domain_scores_gemma":[0.9996813,0.00008858644,0.000011805295,0.00013568527,0.00001535486,0.000067262125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007496055,0.00013727651,0.00022985642,0.00015562907,0.000026157357,0.0000020259927,0.00007963001,0.000084694366,0.00001563797],"category_scores_gemma":[0.00002345486,0.00011810377,0.0000146467,0.00023652978,0.000078283316,0.00002566556,0.000010628095,0.0001844717,0.000021030184],"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":[0.0000029167443,0.000027736354,0.018952833,0.000086912456,0.000034551005,0.000025625128,0.0003023424,0.92107064,0.04106689,0.0026676988,0.014972082,0.00078977586],"study_design_scores_gemma":[0.001966729,0.0002406192,0.06933927,0.00014482021,0.000029892615,0.00021962263,0.00002337315,0.88457876,0.0011295944,0.00043092226,0.041318092,0.0005782879],"about_ca_topic_score_codex":0.000008873515,"about_ca_topic_score_gemma":0.000005453285,"teacher_disagreement_score":0.16273764,"about_ca_system_score_codex":0.000016647533,"about_ca_system_score_gemma":0.0000049403184,"threshold_uncertainty_score":0.48161322},"labels":[],"label_agreement":null},{"id":"W1992449096","doi":"10.1109/memb.2009.935728","title":"grand challenges in biomedical engineering [President's Message","year":2010,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Grand Challenges; Engineering ethics; Field (mathematics); Engineering; Computer science","score_opus":0.02614556346350479,"score_gpt":0.2577515308419934,"score_spread":0.23160596737848863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992449096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839445,0.006499174,0.0021345844,0.002004278,0.004122046,0.00020693702,0.0000049508767,0.0005012986,0.0005822561],"genre_scores_gemma":[0.9944801,0.0036032961,0.0009457115,0.00003400722,0.0007868312,0.0000556947,0.000023644156,0.000047673268,0.000023090908],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857634,0.000012127817,0.00044816989,0.00032693206,0.00011615981,0.00052025466],"domain_scores_gemma":[0.9993115,0.0002143724,0.000019456438,0.00022273527,0.000016145277,0.00021577642],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00052106014,0.00031355247,0.00045602387,0.0007462231,0.000013717883,0.000008528574,0.00018925288,0.00038316532,0.000054460812],"category_scores_gemma":[0.00023236153,0.0002702678,0.00002934968,0.00045714364,0.00012204255,0.000095953335,0.000027518894,0.00091441063,0.000013021883],"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":[0.000029906934,0.0001921466,0.0053315684,0.0028362914,0.00011149446,0.00016377534,0.0020511076,0.012067524,0.93009144,0.0031466323,0.0056453557,0.03833276],"study_design_scores_gemma":[0.0085580805,0.0006894124,0.31009933,0.0019432699,0.00007504881,0.00045704716,0.00017099183,0.4622221,0.004148341,0.0006996532,0.2086428,0.002293931],"about_ca_topic_score_codex":0.000024984445,"about_ca_topic_score_gemma":0.00007701803,"teacher_disagreement_score":0.9259431,"about_ca_system_score_codex":0.000034566903,"about_ca_system_score_gemma":0.000012124818,"threshold_uncertainty_score":0.99997497},"labels":[],"label_agreement":null},{"id":"W1996988463","doi":"10.1109/memb.2008.930029","title":"Retrospective: student events at EMBC'08 [Student's Corner]","year":2009,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Exhibition; Convention; Downtown; Library science; Engineering; Engineering ethics; Medical education; Medicine; Political science; Computer science; Art history; History; Law; Pathology","score_opus":0.01489661512570725,"score_gpt":0.2843440966796258,"score_spread":0.26944748155391857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996988463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920534,0.0019714735,0.001504033,0.00083517085,0.001995527,0.0001740687,0.0000038038636,0.00036844227,0.0010940686],"genre_scores_gemma":[0.9975977,0.0010230655,0.00022980443,0.00016291087,0.00064090115,0.000020239764,0.000030209027,0.000024751673,0.0002704174],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99880844,0.000013131723,0.00034903528,0.00028705626,0.00013438193,0.00040797485],"domain_scores_gemma":[0.9995524,0.00004296799,0.000023894057,0.00019449845,0.000023924558,0.00016225997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024860248,0.0002744083,0.00039920313,0.00026986483,0.000029397397,0.0000056256017,0.00016595253,0.00019200247,0.000075039556],"category_scores_gemma":[0.000048333313,0.00022702641,0.000032082033,0.00034941497,0.00005699137,0.000056952165,0.000025665759,0.00034105533,0.000044463915],"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":[0.000094911185,0.00072257116,0.28566083,0.0011262752,0.00048721003,0.00017154886,0.005133068,0.036634125,0.5508951,0.0030163527,0.088071175,0.027986847],"study_design_scores_gemma":[0.0015228637,0.00043281654,0.9759678,0.00022449784,0.000028000375,0.00004799606,0.000026276306,0.009001835,0.000311695,0.00015353848,0.011907599,0.00037507372],"about_ca_topic_score_codex":0.0000050190592,"about_ca_topic_score_gemma":0.000006077903,"teacher_disagreement_score":0.69030696,"about_ca_system_score_codex":0.0001854506,"about_ca_system_score_gemma":0.0000059408717,"threshold_uncertainty_score":0.9257868},"labels":[],"label_agreement":null},{"id":"W1999693968","doi":"10.1109/memb.2003.1195691","title":"Change-in-support reactions for balance recovery","year":2003,"lang":"en","type":"review","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":153,"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 Guelph; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Balance (ability); Physical medicine and rehabilitation; Perspective (graphical); Fall prevention; Cognition; Trajectory; Ground reaction force; Psychology; Physical therapy; Poison control; Computer science; Injury prevention; Medicine; Neuroscience; Artificial intelligence; Medical emergency; Kinematics","score_opus":0.12009930962438577,"score_gpt":0.43145139238792907,"score_spread":0.3113520827635433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999693968","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":[0.00008392271,0.9915026,0.00055422663,0.00024121854,0.004139587,0.0020114926,0.0000723836,0.00006753752,0.0013270535],"genre_scores_gemma":[0.000037807546,0.9939675,0.0003785734,0.00040365872,0.0014568755,0.0014871495,0.00042459706,0.000045140867,0.0017987526],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977764,0.00019697896,0.0009909808,0.00043335764,0.00004928678,0.0005529904],"domain_scores_gemma":[0.9985969,0.0007600783,0.0002782082,0.00024074125,0.000039663664,0.00008441709],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012120388,0.00034587103,0.0015702063,0.0005019868,0.00006176598,0.0000015779799,0.0001224276,0.0007641975,0.000028173803],"category_scores_gemma":[0.00025564845,0.00026560342,0.00010526633,0.00036714185,0.000050830073,0.000058087822,0.000022128854,0.000996134,0.000044668748],"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":[0.00006601618,0.00034479788,0.0023358567,0.10952114,0.0002489051,0.000054292377,0.00052920764,0.0000025728716,0.0003544025,0.0018564857,0.0676998,0.8169865],"study_design_scores_gemma":[0.0011522447,0.00022852301,0.0012987369,0.013634836,0.000100058256,0.00001851385,0.000010496065,0.00006855966,1.42049155e-8,0.000084137806,0.98317325,0.00023060683],"about_ca_topic_score_codex":0.000049932183,"about_ca_topic_score_gemma":0.00009441955,"teacher_disagreement_score":0.91547346,"about_ca_system_score_codex":0.00013144662,"about_ca_system_score_gemma":0.000099956575,"threshold_uncertainty_score":0.9999796},"labels":[],"label_agreement":null},{"id":"W2007423642","doi":"10.1109/memb.2003.1195695","title":"Strategies for dynamic stability during adaptive human locomotion","year":2003,"lang":"en","type":"review","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":243,"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":"University of Waterloo; Simon Fraser University","keywords":"Stability (learning theory); Kinesthetic learning; Vestibular system; Computer science; Balance (ability); Modalities; Dynamic balance; Control theory (sociology); Artificial intelligence; Control (management); Engineering; Neuroscience; Psychology; Machine learning","score_opus":0.10428177161339451,"score_gpt":0.4251799112138667,"score_spread":0.3208981396004722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007423642","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":[0.0055652703,0.9857682,0.0041415654,0.000043480137,0.0013786999,0.0024076412,0.000057534788,0.00011523409,0.00052237685],"genre_scores_gemma":[0.0051267873,0.99269634,0.0003408151,0.00002495864,0.00048807313,0.0006358211,0.00034753513,0.0000491547,0.00029049508],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.99773216,0.00033047987,0.00091802777,0.00046754663,0.000055824064,0.00049594964],"domain_scores_gemma":[0.99891996,0.00041136827,0.00028608626,0.00023983052,0.00006636132,0.000076400705],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010018701,0.00039111314,0.0014922809,0.00029868525,0.0001565503,0.0000031416116,0.00012510327,0.00066915737,0.000018121216],"category_scores_gemma":[0.00008046448,0.0002927574,0.000109189015,0.00021779515,0.00011253529,0.00006668571,0.000029539706,0.00094977784,0.000010607407],"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":[0.00025725263,0.001300752,0.0017024131,0.6042176,0.0012794642,0.00006339713,0.003849641,0.00004071612,0.022019075,0.02684233,0.006686849,0.33174053],"study_design_scores_gemma":[0.006823482,0.0014887281,0.00852251,0.05738972,0.0008199581,0.000034491313,0.00086327933,0.00096587936,4.4220158e-7,0.0024919934,0.9193171,0.001282384],"about_ca_topic_score_codex":0.000020361555,"about_ca_topic_score_gemma":0.00012325773,"teacher_disagreement_score":0.91263026,"about_ca_system_score_codex":0.00019454281,"about_ca_system_score_gemma":0.000112170215,"threshold_uncertainty_score":0.99995244},"labels":[],"label_agreement":null},{"id":"W2012680439","doi":"10.1109/51.940049","title":"A compression algorithm for DNA sequences","year":2001,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Hong Kong; City University of Hong Kong","keywords":"Data compression; Compression (physics); Algorithm; Benchmark (surveying); Computer science; Matching (statistics); DNA sequencing; DNA; DNA computing; Mathematics; Biology; Genetics; Physics; Computation","score_opus":0.036809861240034644,"score_gpt":0.2978930809314662,"score_spread":0.26108321969143156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012680439","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020000678,0.000979689,0.9769934,0.0009741589,0.0006885107,0.00015064572,0.0000041261887,0.00009985234,0.00010897122],"genre_scores_gemma":[0.3527358,0.0030500516,0.63976055,0.0013903943,0.002237295,0.00017255898,0.00011654185,0.000039001687,0.0004978229],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991498,0.00001855905,0.0002111654,0.00030823157,0.00006002766,0.00025219523],"domain_scores_gemma":[0.9994644,0.00018543293,0.000039354094,0.00020493242,0.0000319522,0.00007394508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002743586,0.00013859713,0.00024193173,0.0001663781,0.000043280546,0.000012702871,0.00029967944,0.000086237735,0.00000663521],"category_scores_gemma":[0.000045048906,0.00009507135,0.000018233646,0.0002223009,0.00006063917,0.00015637574,0.00007936682,0.00011935927,0.0000031870673],"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":[0.000023298517,0.00008699087,0.0024101709,0.00007663673,0.000030014906,0.000094868585,0.0004252522,0.00085200695,0.0836068,0.0045725354,0.0119878305,0.8958336],"study_design_scores_gemma":[0.0013470213,0.00042606148,0.0029066394,0.0001818775,0.000004971056,0.00009515448,0.000008480581,0.9160757,0.00045865503,0.0009460784,0.07736477,0.00018456756],"about_ca_topic_score_codex":0.000021750324,"about_ca_topic_score_gemma":0.0000030022065,"teacher_disagreement_score":0.9152237,"about_ca_system_score_codex":0.000011897581,"about_ca_system_score_gemma":0.000010994454,"threshold_uncertainty_score":0.3876897},"labels":[],"label_agreement":null},{"id":"W2013676876","doi":"10.1109/memb.2007.364931","title":"Improving corrective maintenace efficiency in clinical engineering departments - Multiple Linear Regression and Clustering Techniques for Analyzing Quality and Effectiveness of Technical Services","year":2007,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Quality and Safety in Healthcare","field":"Health Professions","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":"University of Ottawa","keywords":"Cluster analysis; Quality (philosophy); Computer science; Regression analysis; Linear regression; Clinical engineering; Reliability engineering; Regression; Measure (data warehouse); Data mining; Risk analysis (engineering); Health care; Engineering; Statistics; Machine learning; Mathematics; Medicine","score_opus":0.09367828788379282,"score_gpt":0.48303844087383524,"score_spread":0.38936015299004245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013676876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9251062,0.0007761767,0.07256439,0.00013557196,0.00036800498,0.00095883076,0.000010665829,0.00006897188,0.000011170306],"genre_scores_gemma":[0.99391687,0.00033810348,0.005384278,0.00007565954,0.00017662064,0.00007120017,0.00001693897,0.00001805348,0.0000022627073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997526,0.00036133084,0.0011805837,0.0004049719,0.00007054582,0.00045660592],"domain_scores_gemma":[0.9921572,0.0072553908,0.00021774127,0.00015000944,0.000098793,0.00012082101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009619845,0.00021038346,0.00076972565,0.00033761686,0.000085157386,0.0000016205917,0.000085694715,0.0004370175,8.2313187e-7],"category_scores_gemma":[0.0022503315,0.00016388312,0.000030926105,0.0002491845,0.00013305838,0.0000647088,0.00010990732,0.0007255342,1.4757978e-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":[0.00086013065,0.00005851611,0.9214489,0.0072992695,0.000018558865,0.000007779908,0.00086557237,0.00025418814,0.06313495,0.00014514454,0.000002519002,0.005904508],"study_design_scores_gemma":[0.0032690472,0.0008451445,0.91987383,0.0049291165,0.00002233054,0.00000926097,0.00058101746,0.06926481,0.00081179896,0.000045450746,0.000110683126,0.00023749596],"about_ca_topic_score_codex":0.00051014585,"about_ca_topic_score_gemma":0.0007275422,"teacher_disagreement_score":0.069010615,"about_ca_system_score_codex":0.00009119582,"about_ca_system_score_gemma":0.00002852381,"threshold_uncertainty_score":0.668296},"labels":[],"label_agreement":null},{"id":"W2017438457","doi":"10.1109/51.827404","title":"Naso-occipital vestibulo-ocular reflex responses in normal subjects","year":2000,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Vestibular and auditory disorders","field":"Neuroscience","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 Toronto","funders":"","keywords":"Vergence (optics); Eye movement; Reflex; Vestibulo–ocular reflex; Neuroscience; Psychology; Physical medicine and rehabilitation; Computer science; Artificial intelligence; Medicine","score_opus":0.030377307739672288,"score_gpt":0.29027654310946094,"score_spread":0.25989923536978865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017438457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970338,0.00047638261,0.000095170544,0.00071157806,0.00044651603,0.00012921402,0.000004691994,0.000071845716,0.0010308484],"genre_scores_gemma":[0.99808323,0.0004970559,0.00011664272,0.0005421353,0.00028187837,0.000014490167,0.0000061082897,0.000017528118,0.00044091878],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99873596,0.00010066157,0.00028893937,0.00038571333,0.00008860879,0.00040012941],"domain_scores_gemma":[0.9994177,0.00028754058,0.000027435392,0.00017001941,0.000008221015,0.00008906371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031619333,0.00020269168,0.00030281692,0.00031382646,0.000033858734,0.0000070887745,0.00015399676,0.00013205028,0.00017279753],"category_scores_gemma":[0.0006737389,0.00016924432,0.000020114308,0.00041625087,0.00021735746,0.00009588221,0.000019176841,0.00033506344,0.00005601886],"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":[0.00031320777,0.00010832267,0.021318521,0.00007101458,0.00000739449,0.0005891927,0.00061282376,0.012218209,0.9546656,0.00024039915,0.0017091831,0.008146147],"study_design_scores_gemma":[0.025337595,0.0084861135,0.5543218,0.0018570763,0.00009144696,0.0015564198,0.00023435206,0.05069225,0.10133026,0.0011703017,0.25153965,0.0033827156],"about_ca_topic_score_codex":0.000030402143,"about_ca_topic_score_gemma":0.000028275903,"teacher_disagreement_score":0.8533353,"about_ca_system_score_codex":0.000021869342,"about_ca_system_score_gemma":0.000023594506,"threshold_uncertainty_score":0.69015825},"labels":[],"label_agreement":null},{"id":"W2022080122","doi":"10.1109/51.982279","title":"Influences of dynamic factors on myoelectric parameters","year":2001,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Joint (building); Electromyography; Nerve conduction velocity; Biomedical engineering; Computer science; Simulation; Engineering; Physical medicine and rehabilitation; Medicine; Structural engineering; Anatomy","score_opus":0.022809548716099706,"score_gpt":0.2602088840911696,"score_spread":0.2373993353750699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022080122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99769187,0.00080314936,0.00065120566,0.000108856024,0.00019827759,0.00006921119,9.845586e-7,0.00009145865,0.0003849873],"genre_scores_gemma":[0.9977293,0.0020653482,0.00010311868,0.00004320947,0.000025179923,0.000008056954,0.0000047328613,0.000010379121,0.000010650302],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994014,0.000009624984,0.00021099212,0.000122981,0.000046560395,0.00020846775],"domain_scores_gemma":[0.9996699,0.000175376,0.000022326043,0.00008334336,0.00001370136,0.00003536862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008304183,0.00014684294,0.00026859177,0.00046560547,0.000012688936,0.0000016193849,0.000062281164,0.0000694439,0.0000080605],"category_scores_gemma":[0.00006667436,0.000110819085,0.000022367221,0.0005061479,0.00006690665,0.00003168381,0.000004471744,0.00016032196,5.782091e-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":[0.00009708172,0.000107539534,0.23527525,0.0004018302,0.00051378674,0.000023428918,0.0014398412,0.057571266,0.5635316,0.00068724545,0.002289558,0.13806161],"study_design_scores_gemma":[0.0011363595,0.00088722375,0.9670685,0.00017440034,0.000025670119,0.000011046398,0.00006982881,0.024730291,0.002883484,0.00016480319,0.0025260542,0.00032236805],"about_ca_topic_score_codex":0.000015566886,"about_ca_topic_score_gemma":0.000010126099,"teacher_disagreement_score":0.7317932,"about_ca_system_score_codex":0.000017938852,"about_ca_system_score_gemma":0.000002466529,"threshold_uncertainty_score":0.4519071},"labels":[],"label_agreement":null},{"id":"W2023718290","doi":"10.1109/51.844378","title":"Functional infrared imaging of the breast","year":2000,"lang":"en","type":"review","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":167,"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; St Mary's Hospital Centre","funders":"","keywords":"Mammography; Breast cancer; Breast imaging; Medical physics; Medical imaging; Computer science; Breast cancer screening; Medicine; Cancer; Artificial intelligence; Internal medicine","score_opus":0.032274709563436386,"score_gpt":0.2950099889256943,"score_spread":0.26273527936225793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023718290","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":[0.00040575748,0.9956846,0.00006256372,0.0003816564,0.0010218489,0.00066355616,0.000036292928,0.000059180173,0.0016845037],"genre_scores_gemma":[0.0005498685,0.99714524,0.00013546168,0.00027176,0.0011596879,0.000056895078,0.00013188418,0.00006367798,0.0004855488],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978983,0.00009324659,0.0009918665,0.00042383926,0.0002005443,0.0003922312],"domain_scores_gemma":[0.99870527,0.00032784432,0.00023766495,0.0005363315,0.00007217843,0.000120688484],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048576336,0.0005159276,0.0021829768,0.0008512894,0.000031609496,0.0000025691668,0.00022002577,0.0003633783,0.00032272117],"category_scores_gemma":[0.00018182922,0.0002868764,0.00027355194,0.0009931715,0.0005663151,0.000030208144,0.00005201453,0.0010691354,0.000010060368],"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":[0.00010738659,0.000119082,0.00486422,0.018894378,0.0005430997,0.00010584139,0.00016841192,0.0000237506,0.00034991617,0.00020898317,0.015627809,0.9589871],"study_design_scores_gemma":[0.002452059,0.00024938467,0.007042078,0.041396856,0.0012940816,0.004105787,0.0000131615525,0.00011457585,0.000004082651,0.00007779101,0.94289047,0.0003596797],"about_ca_topic_score_codex":0.0000134969505,"about_ca_topic_score_gemma":9.363767e-7,"teacher_disagreement_score":0.95862746,"about_ca_system_score_codex":0.00006129036,"about_ca_system_score_gemma":0.00014538091,"threshold_uncertainty_score":0.99995834},"labels":[],"label_agreement":null},{"id":"W2028676318","doi":"10.1109/memb.2006.1657791","title":"A wavelet approach to detecting electrocautery noise in the ECG","year":2006,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"ECG Monitoring and Analysis","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 British Columbia; University of Ottawa; University of British Columbia Hospital","funders":"","keywords":"Noise (video); Computer science; Software; Wavelet; SIGNAL (programming language); Wavelet transform; Artificial intelligence; Pattern recognition (psychology); Real-time computing","score_opus":0.022232325900474505,"score_gpt":0.2694603212743771,"score_spread":0.24722799537390258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028676318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883192,0.0006215992,0.007737847,0.0017775659,0.000117831194,0.00018117868,5.187798e-7,0.00004723054,0.001196994],"genre_scores_gemma":[0.99548167,0.00006565898,0.0029280416,0.0004486727,0.0008666008,0.000038007605,0.000012958372,0.000013570825,0.00014482083],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989867,0.000036663194,0.00029639015,0.0002646499,0.00008350644,0.00033207098],"domain_scores_gemma":[0.9995659,0.00015382898,0.000028076827,0.00017769042,0.000021374428,0.000053119475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006204162,0.00016409514,0.0003795668,0.00043612896,0.000024834164,0.000005503388,0.0000880425,0.00010062738,0.0000023891607],"category_scores_gemma":[0.00016684085,0.00010169578,0.00003301969,0.0006687169,0.000040681003,0.000019724721,0.000013985371,0.00037879648,0.000004124545],"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":[0.00018369047,0.00042789403,0.29970056,0.00044527382,0.0001092299,0.00025308732,0.0016604343,0.0054744408,0.6639363,0.00027896758,0.0038484852,0.023681622],"study_design_scores_gemma":[0.009357349,0.002972146,0.75439817,0.001335563,0.00036362844,0.0011458537,0.0007959779,0.2041582,0.0061737904,0.00026139678,0.018031659,0.0010062883],"about_ca_topic_score_codex":0.00021428247,"about_ca_topic_score_gemma":0.000034476518,"teacher_disagreement_score":0.6577625,"about_ca_system_score_codex":0.00003495832,"about_ca_system_score_gemma":0.000011231673,"threshold_uncertainty_score":0.41470337},"labels":[],"label_agreement":null},{"id":"W2038567765","doi":"10.1109/memb.2007.364933","title":"The expanding world of prior art [Patents]","year":2007,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"License; Engineering; Common ground; Ground floor; Forensic engineering; Mechanical engineering; Civil engineering; Law; Political science","score_opus":0.09604390753372043,"score_gpt":0.2683153500277526,"score_spread":0.17227144249403215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038567765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97988665,0.00075449335,0.0024207882,0.0009206378,0.0013718499,0.00020168388,3.7796582e-7,0.000055651726,0.01438785],"genre_scores_gemma":[0.99757594,0.000085230924,0.000051723433,0.00037730663,0.0007706021,0.0000036985602,0.0000059409276,0.000010588745,0.001118963],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923015,0.0000047733006,0.00030637046,0.00013398628,0.00006306666,0.00026165217],"domain_scores_gemma":[0.99956775,0.0002098818,0.0000693687,0.000097065604,0.000045359277,0.000010595263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089727965,0.00011848383,0.00019647206,0.0003185585,0.00007304458,0.000013304761,0.00012170902,0.000052334977,0.00005368882],"category_scores_gemma":[0.00026020792,0.000067413974,0.00002108387,0.00039654764,0.00013909322,0.00008777065,0.000039841587,0.00016819382,0.000043814543],"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":[0.0016098537,0.00029603404,0.32283768,0.0016275314,0.000332799,0.00017994076,0.0013703445,0.0012000719,0.41129982,0.031127453,0.091689765,0.13642868],"study_design_scores_gemma":[0.004326302,0.00029811537,0.10754034,0.0010607353,0.00009070193,0.000028805269,0.00026132294,0.019340478,0.0036917133,0.0011367433,0.8615714,0.00065336603],"about_ca_topic_score_codex":0.000057240133,"about_ca_topic_score_gemma":0.00012105124,"teacher_disagreement_score":0.7698816,"about_ca_system_score_codex":0.000008936769,"about_ca_system_score_gemma":0.0000035867863,"threshold_uncertainty_score":0.27490622},"labels":[],"label_agreement":null},{"id":"W2045503624","doi":"10.1109/memb.2002.1044184","title":"Hidden Markov model classification of myoelectric signals in speech","year":2002,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Hidden Markov model; Speech recognition; Classifier (UML); Computer science; Pattern recognition (psychology); Linear discriminant analysis; Quadratic classifier; Artificial intelligence; Robustness (evolution)","score_opus":0.042037494758414985,"score_gpt":0.27056558780879736,"score_spread":0.22852809305038238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045503624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82277536,0.002557249,0.17130333,0.0020243893,0.00014598822,0.000117125106,5.7405276e-7,0.00006214218,0.0010138542],"genre_scores_gemma":[0.97522163,0.00040225792,0.024103107,0.00011254633,0.000064444306,0.0000062521735,0.0000013534699,0.0000051831385,0.00008323912],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991866,0.000019316063,0.00028613687,0.00022831207,0.00006679547,0.00021286473],"domain_scores_gemma":[0.99963015,0.00009636249,0.00005754416,0.0001485357,0.000027835104,0.000039552746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003221952,0.00010709308,0.00024234256,0.00043252166,0.000009984951,0.000005140866,0.00021665213,0.000086300584,0.000009283349],"category_scores_gemma":[0.000108148604,0.00008713261,0.000012660108,0.00065404834,0.000042809646,0.000102514285,0.00002402911,0.00016304819,0.000003401334],"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":[0.000006196005,0.000056085686,0.007193466,0.00008408241,0.000007566142,0.000018696124,0.00036564493,0.0018252307,0.7537145,0.0002546403,0.0010880205,0.23538586],"study_design_scores_gemma":[0.00072687643,0.00016266365,0.0102427,0.00012144918,0.000003312688,0.0000223296,0.0000048382417,0.9745189,0.013497865,0.000488813,0.00008977561,0.000120466466],"about_ca_topic_score_codex":0.000006348358,"about_ca_topic_score_gemma":0.0000050873405,"teacher_disagreement_score":0.9726937,"about_ca_system_score_codex":0.000020213954,"about_ca_system_score_gemma":0.000010342935,"threshold_uncertainty_score":0.3553165},"labels":[],"label_agreement":null},{"id":"W2047709238","doi":"10.1109/memb.2009.935727","title":"Image-Based Motion Detection: Using the Concept of Weighted Directional Descriptors","year":2010,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Medical Image Segmentation Techniques","field":"Computer 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":"Simon Fraser University","funders":"","keywords":"Robustness (evolution); Artificial intelligence; Computer science; Computer vision; Medical imaging; Feature (linguistics); Magnetic resonance imaging; Food and drug administration; Feature extraction; Medicine; Radiology; Risk analysis (engineering)","score_opus":0.024453501531503326,"score_gpt":0.28715363927872395,"score_spread":0.2627001377472206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047709238","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13629794,0.00006328419,0.8622452,0.00042750058,0.0007719806,0.00008983474,5.7445027e-7,0.00007826502,0.000025399384],"genre_scores_gemma":[0.8580892,0.000009894115,0.14147627,0.000193902,0.00020372216,0.000010689961,0.00000293329,0.0000053074177,0.000008076492],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993602,0.000041896776,0.00022759772,0.0001636522,0.000085961095,0.00012066561],"domain_scores_gemma":[0.9995031,0.00016921748,0.00006223982,0.00015462744,0.00006826617,0.000042554966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038771247,0.000091534894,0.00014724159,0.00017411725,0.000031825413,0.0000067168476,0.0001704911,0.00007632996,0.000030059391],"category_scores_gemma":[0.00017478099,0.000059738024,0.00001745821,0.00032108495,0.00026321542,0.00009728274,0.000022186856,0.00025534106,6.977085e-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":[0.0000029688924,0.000013331137,0.00053127727,0.000011043242,0.0000053004446,0.0000020037767,0.00008902595,0.00005800794,0.9860133,0.00018765595,0.00012271125,0.012963408],"study_design_scores_gemma":[0.00085137616,0.00021409702,0.0055132257,0.000058325768,0.000010954563,0.000039446168,0.000011565343,0.4467818,0.5456711,0.00020609496,0.0005188934,0.0001231011],"about_ca_topic_score_codex":0.000041218176,"about_ca_topic_score_gemma":0.000008265623,"teacher_disagreement_score":0.72179127,"about_ca_system_score_codex":0.000013909901,"about_ca_system_score_gemma":0.00001732778,"threshold_uncertainty_score":0.24360459},"labels":[],"label_agreement":null},{"id":"W2050143051","doi":"10.1109/memb.2006.1657785","title":"Estimation of the cortical connectivity patterns during the intention of limb movements","year":2006,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","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":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Electroencephalography; Computer science; Neuroscience; Neurophysiology; Cognition; Artificial intelligence; Spinal cord; Psychology","score_opus":0.02133132255767437,"score_gpt":0.26831190021890783,"score_spread":0.24698057766123346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050143051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944735,0.000033110628,0.004742767,0.00030453753,0.00029173895,0.00009490564,0.0000030953008,0.000010665459,0.00004567068],"genre_scores_gemma":[0.9998182,0.000016176675,0.00002247681,0.000054403507,0.000049049246,0.0000035671117,7.781916e-7,0.0000031871973,0.00003214956],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994688,0.000051109342,0.000213522,0.000113840644,0.000057189412,0.00009555995],"domain_scores_gemma":[0.9995427,0.0002725242,0.000065076034,0.00009804761,0.000012372911,0.000009257094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001723678,0.000067028144,0.00013258154,0.000054956763,0.000021239179,0.0000019659965,0.00010336472,0.000033635184,0.000004691476],"category_scores_gemma":[0.00023294086,0.000034531364,0.000018682209,0.000113059235,0.00013729028,0.000026396008,0.0000358093,0.00012315004,3.265557e-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":[0.000012029807,0.000029089117,0.04196055,0.00006153487,0.0000029571677,9.0163275e-7,0.000073637755,0.0045093372,0.9525372,0.0003348772,0.000020359037,0.00045757234],"study_design_scores_gemma":[0.00049614464,0.0001697073,0.60039973,0.00015319204,0.0000058706514,0.000012427143,0.000012092481,0.062371533,0.33617932,0.00012999539,0.000026726737,0.000043262728],"about_ca_topic_score_codex":0.000054080574,"about_ca_topic_score_gemma":0.000016998281,"teacher_disagreement_score":0.61635786,"about_ca_system_score_codex":0.000008005759,"about_ca_system_score_gemma":0.0000027545964,"threshold_uncertainty_score":0.14081483},"labels":[],"label_agreement":null},{"id":"W2050454915","doi":"10.1109/memb.2009.935719","title":"looking ahead! tips on putting together a five-year career plan [Student's Corner","year":2010,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Health and Medical Research Impacts","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":"Western University","funders":"","keywords":"Plan (archaeology); Medical education; Career planning; Engineering management; Engineering; Computer science; Mathematics education; Psychology; Medicine; Geography","score_opus":0.08663440326429696,"score_gpt":0.3781988362062385,"score_spread":0.29156443294194156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050454915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98361313,0.0002534707,0.00017553024,0.011172774,0.000837473,0.0003684963,0.000004148322,0.000082065206,0.0034929197],"genre_scores_gemma":[0.99229544,0.00021599994,0.0005713586,0.0047180397,0.0015133903,0.000024933237,0.000026280226,0.000031542673,0.00060300797],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981279,0.000039894243,0.00035286034,0.00034265907,0.00026609932,0.0008706324],"domain_scores_gemma":[0.99775726,0.00051252026,0.00004162246,0.00024444595,0.0000675973,0.001376547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014131584,0.00022198318,0.0004949833,0.00036714773,0.00004329317,0.000006711329,0.00011195042,0.00028359276,0.0001877082],"category_scores_gemma":[0.007784834,0.00014952541,0.000032969627,0.00024279668,0.0001896412,0.000033361368,0.00003480615,0.001369478,0.0000525202],"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":[0.0009437381,0.0004876004,0.36550793,0.0013213604,0.00021348838,0.001322428,0.0036798746,0.00008247876,0.44543326,0.0017450352,0.09561404,0.08364878],"study_design_scores_gemma":[0.025485564,0.009665767,0.39755085,0.0038755871,0.0001515638,0.0010099767,0.0005501506,0.0067837364,0.0028818094,0.00019227465,0.55093503,0.00091771234],"about_ca_topic_score_codex":0.00008144365,"about_ca_topic_score_gemma":0.000044733064,"teacher_disagreement_score":0.45532095,"about_ca_system_score_codex":0.000050511906,"about_ca_system_score_gemma":0.00020747707,"threshold_uncertainty_score":0.9319736},"labels":[],"label_agreement":null},{"id":"W2052793745","doi":"10.1109/memb.2002.1032646","title":"MRI data compression using a 3-D discrete wavelet transform","year":2002,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"University of Washington; U.S. Department of Energy","keywords":"Computer science; Adder; Discrete wavelet transform; Computer hardware; Multiplier (economics); Cache; 16-bit; Memory bandwidth; Data compression; Wavelet; Parallel computing; Wavelet transform; Algorithm; Artificial intelligence; Telecommunications","score_opus":0.09259540186273586,"score_gpt":0.3336700293471869,"score_spread":0.24107462748445108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052793745","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0052338582,0.0012623988,0.99111843,0.0015111963,0.0002790635,0.00015295054,0.000014551174,0.00023375101,0.00019380766],"genre_scores_gemma":[0.5803465,0.0026098345,0.4159051,0.00051973155,0.0003858477,0.00001833376,0.0000926036,0.000030474881,0.00009155164],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988121,0.000031468855,0.0003014196,0.00047767325,0.000089447276,0.00028789634],"domain_scores_gemma":[0.9989189,0.00013195524,0.000049692077,0.00079540466,0.000018184786,0.00008584375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026481142,0.00018527258,0.00030983283,0.00022696969,0.000040469513,0.000011716236,0.0008851399,0.000097577795,0.0000228485],"category_scores_gemma":[0.00006513398,0.00013351512,0.000012589654,0.0002963052,0.0000929692,0.00042962297,0.00030781934,0.00026717683,0.0000039025813],"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":[0.000043068543,0.00020844533,0.0015285722,0.00037996308,0.00007580378,0.00028449998,0.0015405334,0.0045338087,0.60696524,0.007256154,0.056785837,0.32039806],"study_design_scores_gemma":[0.000682945,0.00013944639,0.00028893823,0.00028554138,0.0000058707133,0.000073031726,0.0000035791866,0.96195126,0.0013941994,0.00042034773,0.03456187,0.00019295748],"about_ca_topic_score_codex":0.000015864056,"about_ca_topic_score_gemma":0.0000032923315,"teacher_disagreement_score":0.9574175,"about_ca_system_score_codex":0.000017224986,"about_ca_system_score_gemma":0.000004605415,"threshold_uncertainty_score":0.54445887},"labels":[],"label_agreement":null},{"id":"W2058654644","doi":"10.1109/51.956816","title":"Long-term EEG compression for intensive-care settings","year":2001,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","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":"McGill University; Montreal Neurological Institute and Hospital; Concordia University","funders":"","keywords":"Electroencephalography; Computer science; Coma (optics); Identification (biology); Adaptation (eye); Artificial intelligence; Pattern recognition (psychology); Psychology; Neuroscience","score_opus":0.041187382618435214,"score_gpt":0.3116186076734119,"score_spread":0.27043122505497663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058654644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882437,0.0006866994,0.007882134,0.001824622,0.00087489205,0.00022978835,0.0000049753207,0.00009331929,0.000159865],"genre_scores_gemma":[0.9968192,0.00023690185,0.0002950982,0.002141818,0.0003152684,0.000018983686,0.000012446639,0.000014755742,0.00014555233],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99904966,0.000026053607,0.00023232622,0.00035267673,0.00005044954,0.00028884568],"domain_scores_gemma":[0.99926406,0.00042112992,0.0000461066,0.00012841888,0.00007570781,0.0000645881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011988773,0.00017191515,0.0002826289,0.00017414436,0.00004021856,0.000008888911,0.0001628344,0.000097412776,0.000015077327],"category_scores_gemma":[0.0004530843,0.000122725,0.000026911326,0.00014607413,0.00012293132,0.0000547155,0.000046513505,0.0001929312,0.000005632338],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000691822,0.0000150468195,0.016353294,0.00016725587,0.000005890859,0.000053946835,0.0009611305,0.00026398106,0.9692452,0.000088246125,0.0038941868,0.008882624],"study_design_scores_gemma":[0.023189876,0.008585109,0.2509382,0.0069029513,0.0001422745,0.002204386,0.0012034249,0.107864596,0.40307298,0.00052840885,0.19274582,0.002621936],"about_ca_topic_score_codex":0.0000028054899,"about_ca_topic_score_gemma":0.0000034788363,"teacher_disagreement_score":0.56617224,"about_ca_system_score_codex":0.000014345827,"about_ca_system_score_gemma":0.000005472214,"threshold_uncertainty_score":0.500458},"labels":[],"label_agreement":null},{"id":"W2066207574","doi":"10.1109/memb.2007.335581","title":"Multilabel associative classification categorization of MEDLINE aticles into MeSH keywords","year":2007,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Text and Document Classification Technologies","field":"Computer Science","cited_by":20,"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":"Computer science; Categorization; Classifier (UML); Associative property; Document classification; Data mining; Macro; Scalability; Artificial intelligence; Information retrieval; Pattern recognition (psychology); Machine learning; Database; Mathematics","score_opus":0.03913872556567612,"score_gpt":0.3145223526739983,"score_spread":0.2753836271083222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066207574","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":[0.3060151,0.0003789392,0.6900499,0.0026603395,0.0002952886,0.00014304364,7.2067127e-7,0.00018919053,0.0002674709],"genre_scores_gemma":[0.98007816,0.0002469177,0.019484218,0.000056797046,0.000060113194,0.000009015201,0.000011882792,0.0000052757296,0.000047633774],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990738,0.000021569114,0.00040031236,0.00023320265,0.00009192156,0.00017917651],"domain_scores_gemma":[0.99923027,0.0002899737,0.00015093466,0.00020154977,0.00009022382,0.000037072117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007174116,0.00011908298,0.0002341958,0.0003703037,0.000024613328,0.0000059631207,0.00025393112,0.00013827266,0.0000034265836],"category_scores_gemma":[0.00042477122,0.0000944394,0.0000149453435,0.00060521753,0.00012547562,0.00014277126,0.000045459423,0.00013828425,0.0000027678716],"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":[0.000016826178,0.000096221476,0.054148156,0.00007739329,0.000036336303,0.0000037151642,0.0020896674,0.00008127627,0.64224225,0.1837096,0.00063041254,0.116868116],"study_design_scores_gemma":[0.0036865696,0.0009503293,0.5362325,0.0002093495,0.000033656775,0.000010092067,0.00075695914,0.36896256,0.07237802,0.012674215,0.0035302136,0.0005755661],"about_ca_topic_score_codex":0.000022454322,"about_ca_topic_score_gemma":0.00002300111,"teacher_disagreement_score":0.674063,"about_ca_system_score_codex":0.000049115486,"about_ca_system_score_gemma":0.000014182194,"threshold_uncertainty_score":0.38511267},"labels":[],"label_agreement":null},{"id":"W2066954980","doi":"10.1109/memb.2006.1607667","title":"Evaluating fMRI preprocessing pipelines","year":2006,"lang":"en","type":"review","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":175,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Baycrest Hospital","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Preprocessor; Pipeline (software); Computer science; Pipeline transport; Workflow; Software; Implementation; Neuroimaging; Functional magnetic resonance imaging; Focus (optics); Artificial intelligence; Data pre-processing; Data mining; Machine learning; Software engineering; Engineering; Programming language; Medicine","score_opus":0.1720730834341042,"score_gpt":0.47874950745263994,"score_spread":0.30667642401853573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066954980","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":[0.000072479066,0.97765994,0.020492664,0.00017866114,0.00012936963,0.0007353019,0.0000062386966,0.00020104188,0.00052428606],"genre_scores_gemma":[0.000045702658,0.9747521,0.023002028,0.00007795011,0.0010637152,0.00025328773,0.00021985454,0.000060246042,0.0005250983],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99826175,0.000027872233,0.0007755999,0.0005292504,0.000087203574,0.0003183296],"domain_scores_gemma":[0.99908924,0.00024333072,0.00019339319,0.00032137113,0.00006571558,0.00008696984],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044772102,0.00041099294,0.0016675076,0.00042301486,0.00003470167,0.000004873227,0.00010619534,0.00038082973,0.000015620135],"category_scores_gemma":[0.00025627072,0.00028405085,0.00009673133,0.00047910717,0.00012411094,0.000030104064,0.000040271178,0.00061097037,0.000007942266],"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":[0.000005608327,0.000040074632,0.000032473356,0.009550818,0.00002035096,0.00002033391,0.000016048274,0.00013194379,0.0004054614,0.00011827227,0.0016252063,0.9880334],"study_design_scores_gemma":[0.000621563,0.00031083726,0.000027079035,0.019294024,0.00046234136,0.00030902645,0.0000029806502,0.0025165416,0.000010742744,0.000076926386,0.97607964,0.00028831483],"about_ca_topic_score_codex":0.000013819324,"about_ca_topic_score_gemma":0.0000026370983,"teacher_disagreement_score":0.9877451,"about_ca_system_score_codex":0.00006387522,"about_ca_system_score_gemma":0.00007423855,"threshold_uncertainty_score":0.99996114},"labels":[],"label_agreement":null},{"id":"W2067136649","doi":"10.1109/memb.2005.1384102","title":"Characterization of architectural distortion in mammograms","year":2005,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"AI in cancer detection","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Characterization (materials science); Distortion (music); Mammography; Medical imaging; Computer science; Biomedical engineering; Artificial intelligence; Medical physics; Engineering; Medicine; Materials science; Breast cancer; Nanotechnology; Electronic engineering; Internal medicine; Cancer","score_opus":0.017245158297575527,"score_gpt":0.25394253676901063,"score_spread":0.2366973784714351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067136649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.778982,0.00010446949,0.21975093,0.00077733,0.00026900374,0.00006067119,3.7700244e-7,0.00003073339,0.000024514953],"genre_scores_gemma":[0.99724865,0.00007875404,0.002411602,0.000057600177,0.00017141999,0.000009344301,0.0000055343708,0.0000035759547,0.000013544893],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99945,0.000017786275,0.0002171062,0.00015282515,0.00004101688,0.000121212484],"domain_scores_gemma":[0.9997812,0.000033590943,0.000044960878,0.00010571054,0.000012694263,0.000021863203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018334585,0.000073940515,0.00014949332,0.0002489649,0.000006022652,0.0000022155898,0.00010180524,0.000053175547,0.0000027741737],"category_scores_gemma":[0.000027675424,0.00006131391,0.000009097492,0.00029803472,0.000040800023,0.00009107517,0.00001927831,0.00011405004,0.0000011757267],"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":[0.000014868432,0.00002181342,0.016798254,0.000044829412,0.0000045844376,0.0000027982733,0.000656381,0.0028905303,0.7423919,0.00041194187,0.000012018233,0.2367501],"study_design_scores_gemma":[0.0019262334,0.0007308115,0.7031159,0.00026254245,0.000005791099,0.000067073626,0.0000061022424,0.2679856,0.020259425,0.00020835642,0.0051733125,0.00025883203],"about_ca_topic_score_codex":0.000024104793,"about_ca_topic_score_gemma":0.000060013113,"teacher_disagreement_score":0.72213244,"about_ca_system_score_codex":0.000038703776,"about_ca_system_score_gemma":0.0000058073115,"threshold_uncertainty_score":0.25003088},"labels":[],"label_agreement":null},{"id":"W2074240253","doi":"10.1109/memb.2002.1044180","title":"The far-reaching impact of bioterrorism","year":2002,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Bacillus and Francisella bacterial research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"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":"Harm; European commission; Member states; Commission; European union; Biological warfare; Occupational safety and health; Political science; Business; Radiological weapon; Medical emergency; Environmental health; Medicine; Environmental planning; International trade; Law; Geography","score_opus":0.032399756383620616,"score_gpt":0.303569922533171,"score_spread":0.27117016614955036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074240253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99408174,0.0041531795,0.00070964015,0.00034156843,0.00021030552,0.00008309436,0.000004407486,0.0000057064835,0.00041035062],"genre_scores_gemma":[0.9960158,0.003391805,0.000055568762,0.000027125094,0.00030572,0.0000052152436,0.0000101573805,0.000009375424,0.00017925004],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993378,0.00003139961,0.00019551138,0.0001603521,0.000042082724,0.00023285061],"domain_scores_gemma":[0.99965525,0.000055958422,0.00003404055,0.00017156918,0.000029493973,0.000053662956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033640687,0.00011349886,0.00017308697,0.00006458797,0.00003250119,0.000004460558,0.000120303725,0.00011981794,0.000021166343],"category_scores_gemma":[0.0002061659,0.00006478851,0.00004084755,0.000099553894,0.000155946,0.0000022069526,0.00003517601,0.00014204357,0.0000025816112],"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":[0.000033875454,0.000013629552,0.0044012847,0.000012542073,0.000033298424,0.0000018185632,0.00006394548,0.00008895224,0.9816265,0.000045087698,0.0013877332,0.01229133],"study_design_scores_gemma":[0.014620515,0.016701268,0.39434007,0.00047676827,0.000103579994,0.0003401581,0.00014902702,0.05990806,0.07321239,0.00037997446,0.43798175,0.0017864207],"about_ca_topic_score_codex":0.00006252387,"about_ca_topic_score_gemma":0.000018543496,"teacher_disagreement_score":0.9084141,"about_ca_system_score_codex":0.000009099756,"about_ca_system_score_gemma":0.000007108989,"threshold_uncertainty_score":0.26419985},"labels":[],"label_agreement":null},{"id":"W2080579909","doi":"10.1109/memb.2010.936454","title":"Real-Time Analysis for Intensive Care: Development and Deployment of the Artemis Analytic System","year":2010,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":134,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Vital signs; Software deployment; Analytics; Intensive care; Workflow; Computer science; Purchasing; Medical record; Health care; Medicine; Medical emergency; Data science; Intensive care medicine; Engineering; Operations management","score_opus":0.030296645958883886,"score_gpt":0.30009807360343205,"score_spread":0.2698014276445482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080579909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979842,0.00028665166,0.00032708232,0.0006693461,0.00031123002,0.00032563932,0.0000028366555,0.000046360063,0.000046692287],"genre_scores_gemma":[0.9984389,0.000060943825,0.0012542253,0.0000538531,0.000101410355,0.00003444227,0.000012766652,0.000008746914,0.000034702494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992038,0.000014615263,0.00034351513,0.00020102867,0.000055434946,0.00018159996],"domain_scores_gemma":[0.9993247,0.00016962524,0.000073608506,0.0001911667,0.00017414949,0.00006677267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030147185,0.00012590217,0.0004812311,0.00031675876,0.000033139375,9.4763686e-7,0.00005658523,0.00017696207,0.000002143854],"category_scores_gemma":[0.00028792513,0.00007846946,0.000035451892,0.000348764,0.00012724956,0.000009861469,0.000024417164,0.00024355346,5.2214506e-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":[0.00009664657,0.000019644644,0.76047367,0.0012757867,0.00056402886,0.0000126874365,0.002496711,0.00008984575,0.22868472,0.00034769732,0.0001300552,0.005808515],"study_design_scores_gemma":[0.0059827147,0.0017537989,0.9177161,0.0018736483,0.0018544253,0.0001836031,0.0029943658,0.01877495,0.043684382,0.000016871363,0.0047100703,0.00045507128],"about_ca_topic_score_codex":0.00004795346,"about_ca_topic_score_gemma":0.000048386933,"teacher_disagreement_score":0.18500033,"about_ca_system_score_codex":0.000038378454,"about_ca_system_score_gemma":0.000038805596,"threshold_uncertainty_score":0.31998914},"labels":[],"label_agreement":null},{"id":"W2082231036","doi":"10.1109/memb.2008.925478","title":"Staying in Tune","year":2008,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Sensory system; Gaze; Object (grammar); Computer science; Motor system; Computer vision; Balance (ability); Psychology; Artificial intelligence; Communication; Human–computer interaction; Neuroscience","score_opus":0.06602221880084286,"score_gpt":0.2798162367444206,"score_spread":0.21379401794357772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082231036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967024,0.00025288027,0.0014644021,0.0007385251,0.00025932057,0.00008806825,7.912699e-7,0.000035319536,0.00045834092],"genre_scores_gemma":[0.9988545,0.00041866105,0.00011036477,0.00034810216,0.0001377741,0.000009810394,0.000001375571,0.0000059558256,0.00011343773],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993827,0.00002636432,0.00018134816,0.00018743788,0.000042394026,0.0001797711],"domain_scores_gemma":[0.9996954,0.00017666839,0.000021252132,0.00006470473,0.0000059924114,0.000035973862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014343759,0.00008787105,0.0001791916,0.00021049063,0.000018059938,0.0000012878729,0.000055586734,0.000050611805,0.00001441362],"category_scores_gemma":[0.00036655608,0.000067797744,0.000008785275,0.00021599035,0.000070289076,0.00004595204,0.0000096656295,0.00015312548,0.0000068043732],"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":[0.00001855883,0.00001634256,0.0075462004,0.000015460444,9.727429e-7,0.000110284825,0.00033138174,0.0012290042,0.98861516,0.0005142249,0.00008087949,0.0015215599],"study_design_scores_gemma":[0.013396538,0.0013429126,0.7132079,0.00045126834,0.000013827595,0.0005536133,0.00007998908,0.21619797,0.015009231,0.0006082183,0.0383242,0.00081435154],"about_ca_topic_score_codex":0.00002868119,"about_ca_topic_score_gemma":0.000013771806,"teacher_disagreement_score":0.9736059,"about_ca_system_score_codex":0.000012158709,"about_ca_system_score_gemma":0.0000070286032,"threshold_uncertainty_score":0.2764712},"labels":[],"label_agreement":null},{"id":"W2083301184","doi":"10.1109/memb.2009.931794","title":"The nuts and bolts of EMBS student chapters! [Student's Corner]","year":2009,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Biomedical and Engineering Education","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":"Western University; Robarts Clinical Trials","funders":"","keywords":"Nuts and bolts; Engineering ethics; Medical education; Engineering; Medicine","score_opus":0.014989549926896155,"score_gpt":0.27416083926275353,"score_spread":0.25917128933585737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083301184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99001694,0.0060925847,0.0010939344,0.0011305985,0.0009895689,0.00012734505,0.0000016068944,0.00010637285,0.00044105022],"genre_scores_gemma":[0.9964056,0.0030722301,0.00013214741,0.00006853808,0.0002542548,0.0000091441625,0.0000049956457,0.00001075224,0.00004233745],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99924624,0.000008993378,0.00028322026,0.00014562103,0.000077633944,0.00023830062],"domain_scores_gemma":[0.9996256,0.000118419965,0.000022160346,0.00012982711,0.000017658751,0.00008632954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002629199,0.00016033709,0.00025460098,0.00013171445,0.000023399378,0.000006345414,0.00011607987,0.00010104302,0.0000042671754],"category_scores_gemma":[0.000040610797,0.0001057895,0.000015667896,0.00017436803,0.00011430481,0.000032397278,0.000014895519,0.00020063484,0.0000017097182],"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":[0.00011700167,0.00041221536,0.041340202,0.0017626209,0.0005131482,0.000066771194,0.0104175685,0.018878255,0.61780196,0.014137651,0.021640014,0.27291256],"study_design_scores_gemma":[0.0025544355,0.0011062231,0.926513,0.00055621,0.000057998583,0.00007246682,0.00025558902,0.038268253,0.0011344167,0.0004021407,0.028566023,0.00051322684],"about_ca_topic_score_codex":0.000005909685,"about_ca_topic_score_gemma":0.000004839409,"teacher_disagreement_score":0.8851728,"about_ca_system_score_codex":0.000017881695,"about_ca_system_score_gemma":0.000004066753,"threshold_uncertainty_score":0.43139705},"labels":[],"label_agreement":null},{"id":"W2114678653","doi":"10.1109/emb.2007.910272","title":"Integrating an Image-Guided Robot with Intraoperative MRI","year":2008,"lang":"en","type":"review","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":114,"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":"National Research Council Canada; National Aeronautics and Space Administration","keywords":"Magnetic resonance imaging; Microsurgery; Robot; Robotics; Image-guided surgery; Haptic technology; Computer science; Instrumentation (computer programming); Interventional magnetic resonance imaging; Medicine; Medical physics; Stereotaxy; Robot end effector; Artificial intelligence; Radiology; Surgery","score_opus":0.07374243984405202,"score_gpt":0.398010316471564,"score_spread":0.324267876627512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114678653","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":[0.00007775818,0.89220077,0.10525167,0.00035197474,0.000084772975,0.0011748275,0.00001138838,0.000233929,0.000612909],"genre_scores_gemma":[0.0000411567,0.92007947,0.078499615,0.00012240201,0.000507275,0.000277335,0.00027397383,0.00006412494,0.00013466457],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99839413,0.000041338408,0.0006193948,0.00054062024,0.00007623505,0.0003282555],"domain_scores_gemma":[0.99907964,0.0001544196,0.00014444838,0.00036197217,0.000093967756,0.00016556647],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001589364,0.0005085414,0.0018375877,0.0003929084,0.00004602476,0.0000051798092,0.00012888377,0.00033126236,0.00002244604],"category_scores_gemma":[0.00010476247,0.00029945563,0.00006765254,0.00048561284,0.00028994548,0.00006739295,0.000028455695,0.00091169914,0.0000063235684],"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":[0.00005192639,0.00025095185,0.00008486968,0.0070172637,0.00020883724,0.0005244135,0.0005124115,0.0002582664,0.0027847425,0.0018046797,0.006479959,0.98002166],"study_design_scores_gemma":[0.0011679564,0.0018224791,0.000029910663,0.014851608,0.0003197774,0.003208551,0.00003414803,0.0013702435,0.000039548053,0.000026687596,0.97662467,0.00050442567],"about_ca_topic_score_codex":0.000022378757,"about_ca_topic_score_gemma":0.000012028879,"teacher_disagreement_score":0.9795173,"about_ca_system_score_codex":0.0000820343,"about_ca_system_score_gemma":0.00010062098,"threshold_uncertainty_score":0.99994576},"labels":[],"label_agreement":null},{"id":"W2121200335","doi":"10.1109/memb.2006.1657790","title":"A viral envelope as a vehicle for tracer, drug, and gene delivery","year":2006,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","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":"National Center for Research Resources; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Biodistribution; Positron emission tomography; Drug delivery; Biomedical engineering; Gene delivery; Medicine; Drug; Radioactive tracer; Viral vector; Medical physics; Nuclear medicine; Genetic enhancement; Pharmacology; Nanotechnology; Materials science; Chemistry; Recombinant DNA; Gene","score_opus":0.01529596600480328,"score_gpt":0.28271226402034516,"score_spread":0.2674162980155419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121200335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99179757,0.006832072,0.00037609972,0.0005777231,0.00009515982,0.00022095497,0.0000091835445,0.000014717321,0.00007651263],"genre_scores_gemma":[0.99674857,0.0013005179,0.00051173824,0.0002710725,0.0005562766,0.00005271159,0.00007949762,0.000021840924,0.00045777098],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99914473,0.000027686272,0.0001881653,0.00030717722,0.000045014986,0.00028724398],"domain_scores_gemma":[0.9996989,0.000047607147,0.000024588007,0.0001313218,0.000035599365,0.00006199272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003074927,0.000155755,0.00020439245,0.0001124376,0.000031888867,0.0000052535215,0.000083124505,0.00012789866,0.000008074703],"category_scores_gemma":[0.000047041078,0.00013122344,0.000024153018,0.00007763319,0.00012843269,0.0000033834388,0.000031370542,0.00010560702,0.000002549311],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004757062,0.000022420374,0.0028044868,0.000031342555,0.00002206645,0.0000058158457,0.000026323029,0.00019675781,0.99198866,0.000031716318,0.0017108939,0.0026837976],"study_design_scores_gemma":[0.014642136,0.012803126,0.034091573,0.00012300562,0.00006198107,0.00016615378,0.000054713713,0.007909522,0.835455,0.0006160101,0.09312674,0.00095004396],"about_ca_topic_score_codex":0.000066894274,"about_ca_topic_score_gemma":0.00012623791,"teacher_disagreement_score":0.15653367,"about_ca_system_score_codex":0.000009627894,"about_ca_system_score_gemma":0.00002641651,"threshold_uncertainty_score":0.53511363},"labels":[],"label_agreement":null},{"id":"W2128133648","doi":"10.1109/memb.2008.922348","title":"Writing for publication in biomedical engineering [Student's Corner]","year":2008,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"","keywords":"Punctuation; Structuring; Computer science; Grammar; Scientific writing; Technical writing; Engineering ethics; Scientific article; Medical writing; Engineering; Publishing; Linguistics; Medical education; Medicine; Artificial intelligence; Higher education; Political science","score_opus":0.030491839366593002,"score_gpt":0.27756093763337714,"score_spread":0.24706909826678414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128133648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.972965,0.0015483986,0.022082929,0.00091351056,0.0015639302,0.0003312913,0.0000083097675,0.0004256249,0.00016101862],"genre_scores_gemma":[0.996163,0.0005522383,0.0021159437,0.00008766009,0.0007274086,0.0001662406,0.000109484885,0.000043384967,0.000034652545],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986041,0.00000908703,0.0005287384,0.00028349148,0.000098114426,0.00047646495],"domain_scores_gemma":[0.99938005,0.00025004728,0.000025259897,0.00015040765,0.00003801021,0.0001562439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041712972,0.0002484708,0.00038757108,0.0006924845,0.000023909142,0.0000071045883,0.00015002329,0.00024664446,0.000016832573],"category_scores_gemma":[0.00028379643,0.00022774587,0.00003080344,0.00061802246,0.0000964212,0.00010112,0.000018827732,0.00035403468,0.000006967907],"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":[0.000098882374,0.00071857,0.13576068,0.005888389,0.0003261057,0.0001711999,0.006296618,0.10055524,0.6407934,0.0042689582,0.069240205,0.035881747],"study_design_scores_gemma":[0.0049785823,0.0004684147,0.27190396,0.0008648477,0.000028545306,0.00023768136,0.00007311358,0.6774038,0.00075082417,0.000065759516,0.04228507,0.0009393778],"about_ca_topic_score_codex":0.0000147635565,"about_ca_topic_score_gemma":0.000003655481,"teacher_disagreement_score":0.6400426,"about_ca_system_score_codex":0.000088636465,"about_ca_system_score_gemma":0.000016155895,"threshold_uncertainty_score":0.9287207},"labels":[],"label_agreement":null},{"id":"W2132455635","doi":"10.1109/memb.2003.1237514","title":"Evaluating optical stabilization of the beating heart","year":2003,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Surgical Simulation and Training","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 British Columbia","funders":"University of Waterloo","keywords":"Illusion; Bypass grafting; Fibrous joint; Artery; Test (biology); Computer science; Biomedical engineering; Medicine; Computer vision; Surgery; Simulation; Medical physics; Psychology; Cognitive psychology","score_opus":0.09290320290356602,"score_gpt":0.3750858391695403,"score_spread":0.2821826362659743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132455635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99607587,0.00023243511,0.0010155219,0.000525247,0.00017633398,0.00014570307,2.6375423e-7,0.000018856117,0.0018097744],"genre_scores_gemma":[0.99792486,0.000013159696,0.0017396801,0.00020531373,0.0000707409,0.000004238909,0.0000027405197,0.000006904813,0.000032373177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993526,0.000044928132,0.0002670736,0.00012426077,0.00008122703,0.0001299403],"domain_scores_gemma":[0.9994249,0.00035616494,0.0000335474,0.00009578187,0.000044553373,0.000045099834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063127215,0.00007863703,0.00023502845,0.00007449698,0.000018990655,0.0000011374839,0.000023579998,0.000067182365,0.000060113925],"category_scores_gemma":[0.0018342171,0.000047022026,0.00002375443,0.0002537662,0.00009064354,0.000014824082,0.000007890799,0.00015641915,9.380326e-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":[0.00008619464,0.000097467186,0.62283576,0.000261358,0.000047023837,0.0000055847086,0.0006972369,0.018820094,0.3369042,0.008930811,0.000062401334,0.011251899],"study_design_scores_gemma":[0.017356973,0.0019523731,0.75892115,0.0015110311,0.00016435164,0.00018340244,0.00032015258,0.19332477,0.0139976265,0.00045226104,0.011467663,0.00034827253],"about_ca_topic_score_codex":0.0000031544564,"about_ca_topic_score_gemma":0.0000014302747,"teacher_disagreement_score":0.32290658,"about_ca_system_score_codex":0.000013189843,"about_ca_system_score_gemma":0.000019069166,"threshold_uncertainty_score":0.21958616},"labels":[],"label_agreement":null},{"id":"W2132713666","doi":"10.1109/memb.2006.1578663","title":"The quest for error correction in biology","year":2006,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","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":"Queen's University","funders":"Howard Hughes Medical Institute","keywords":"Systems biology; Coding (social sciences); Computational biology; Computer science; Error detection and correction; Biology; Data science; Algorithm; Mathematics","score_opus":0.018634289169360062,"score_gpt":0.29572710698552385,"score_spread":0.2770928178161638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132713666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895512,0.002195178,0.005772223,0.0008006172,0.001049397,0.00020992856,0.0000028247714,0.000019332478,0.00039931055],"genre_scores_gemma":[0.9982352,0.00024390753,0.00025891152,0.00014147577,0.0007722046,0.00003398407,0.00008250214,0.000007944922,0.00022386016],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991653,0.00003833881,0.00024743736,0.00026086258,0.000016474407,0.000271577],"domain_scores_gemma":[0.99965173,0.00015894185,0.00003989476,0.00010024428,0.000025675085,0.000023527171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045441426,0.00012806464,0.00017673704,0.00006712365,0.000042008312,0.000004069723,0.000096145275,0.00018312545,0.0000012959247],"category_scores_gemma":[0.00025918425,0.00007727156,0.000025051564,0.000105815416,0.00013127638,0.0000015383295,0.000029130999,0.00012047675,8.966173e-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":[0.0001179036,0.000035990277,0.05653344,0.000019474743,0.000012713401,0.0000023466177,0.000012556549,0.00096707453,0.927426,0.0012623034,0.0046454663,0.008964732],"study_design_scores_gemma":[0.0069744657,0.0057780044,0.23892125,0.00020886336,0.00003232173,0.00010380839,0.00008328331,0.03873021,0.023657933,0.0029032861,0.6816826,0.00092396804],"about_ca_topic_score_codex":0.00006722386,"about_ca_topic_score_gemma":0.00032712505,"teacher_disagreement_score":0.90376806,"about_ca_system_score_codex":0.00001098179,"about_ca_system_score_gemma":0.000009177202,"threshold_uncertainty_score":0.31510425},"labels":[],"label_agreement":null},{"id":"W2136692545","doi":"10.1109/memb.2003.1304999","title":"Basic theory of dielectrophoresis and electrorotation","year":2003,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":444,"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":"University of Calgary","keywords":"Dielectrophoresis; Range (aeronautics); Torque; Electrokinetic phenomena; Physics; Dipole; Electromechanics; Dielectric; Particle (ecology); Nanotechnology; Classical mechanics; Materials science; Engineering; Aerospace engineering; Optoelectronics; Microfluidics","score_opus":0.01570902220455352,"score_gpt":0.22514052569504156,"score_spread":0.20943150349048803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136692545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795951,0.011302305,0.008316201,0.00008122146,0.00012460313,0.00007585459,9.819519e-7,0.00013654125,0.0003671636],"genre_scores_gemma":[0.99316293,0.0059695025,0.00077892985,0.000021995145,0.000028704126,0.0000041605135,0.000002681355,0.000011897588,0.000019175974],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99945635,0.00002065597,0.00018432608,0.00012494618,0.000026826976,0.00018691353],"domain_scores_gemma":[0.9997323,0.000121293,0.000017226388,0.000090950925,0.000014156447,0.000024062598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025650044,0.00012686143,0.00023785884,0.00020971792,0.000010915294,0.000001661633,0.000040555442,0.00011821889,0.000008166801],"category_scores_gemma":[0.00016075022,0.00009845903,0.000010929734,0.00018994947,0.00012565842,0.00002001052,0.000006435584,0.00015127759,7.8307585e-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":[0.000009148862,0.0000055627247,0.0019134043,0.000082123115,0.000019909463,0.0000034481545,0.00008005553,0.00007965811,0.9854094,0.005405726,0.00070341147,0.0062881876],"study_design_scores_gemma":[0.004095618,0.0019766889,0.044365585,0.0005629975,0.0001347477,0.0002846523,0.0002860391,0.0116827665,0.90088487,0.013479372,0.021241434,0.0010052283],"about_ca_topic_score_codex":0.0000033263227,"about_ca_topic_score_gemma":0.0000023323387,"teacher_disagreement_score":0.0845245,"about_ca_system_score_codex":0.000012794045,"about_ca_system_score_gemma":0.000004489257,"threshold_uncertainty_score":0.40150428},"labels":[],"label_agreement":null},{"id":"W2139662895","doi":"10.1109/memb.2008.923955","title":"Perspectives on High Technologies for Low-Cost Healthcare","year":2008,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Health care; Wearable computer; Service (business); Business; China; Key (lock); Architecture; Telemedicine; Healthcare system; Risk analysis (engineering); Computer science; Computer security; Marketing; Economic growth; Geography; Economics","score_opus":0.02429686761219693,"score_gpt":0.26032588785039656,"score_spread":0.23602902023819963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139662895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9758817,0.0054842187,0.013016915,0.002534299,0.0010449268,0.00058086106,0.000019021638,0.00123731,0.00020073699],"genre_scores_gemma":[0.99505997,0.0033084669,0.00095724897,0.00005760729,0.00040382292,0.00012889513,0.000021463971,0.00003651119,0.000026011005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906915,0.000009209246,0.00023324999,0.0002647426,0.000048117632,0.00037555076],"domain_scores_gemma":[0.9994829,0.00022559482,0.00002025868,0.00018838016,0.000033498756,0.000049324717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012764748,0.00022850597,0.0003810443,0.0003153025,0.000041406918,0.000002386583,0.0001232002,0.00023135506,0.0000042768443],"category_scores_gemma":[0.00012534077,0.00018854628,0.00002504605,0.00024520545,0.00016917338,0.00003715207,0.000014916367,0.00035038203,0.0000049823243],"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":[0.0005250418,0.00032858117,0.026821166,0.002891248,0.00052238256,0.00047878403,0.010777472,0.63935703,0.097390905,0.039397374,0.10152437,0.079985656],"study_design_scores_gemma":[0.024363726,0.007025352,0.1198017,0.004781657,0.00013101479,0.0008065708,0.004919269,0.73145485,0.01841701,0.0029836404,0.080557324,0.004757869],"about_ca_topic_score_codex":0.000011581828,"about_ca_topic_score_gemma":0.000012604356,"teacher_disagreement_score":0.092980534,"about_ca_system_score_codex":0.00006595305,"about_ca_system_score_gemma":0.000007726523,"threshold_uncertainty_score":0.76886946},"labels":[],"label_agreement":null},{"id":"W2142201329","doi":"10.1109/memb.2007.335579","title":"Machine learning in the life sciences","year":2007,"lang":"en","type":"review","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Engineering; Artificial intelligence; Engineering ethics","score_opus":0.07224022114110802,"score_gpt":0.3697398333412372,"score_spread":0.2974996122001292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142201329","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":[0.000403977,0.9976755,0.00031930718,0.00025541824,0.00026015477,0.0003107473,0.0000059176127,0.000010253823,0.00075871986],"genre_scores_gemma":[0.0010178706,0.9974511,0.00021753147,0.00029762284,0.00066951633,0.000025479192,0.00016482941,0.000017111985,0.00013893288],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981778,0.00013859481,0.0006353939,0.00036438875,0.00017408784,0.00050973333],"domain_scores_gemma":[0.99927807,0.00027634113,0.00010177402,0.00020435653,0.000026124588,0.00011332732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00262937,0.00031908366,0.0007500748,0.0004910377,0.000049780938,0.000010444213,0.00047389293,0.00047584804,0.000011042254],"category_scores_gemma":[0.0012112325,0.00017674084,0.00007813773,0.000512723,0.00053792464,0.000002733115,0.000109872104,0.0007662661,0.000010579319],"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":[0.000022671647,0.00007394031,0.0008295038,0.0058991876,0.00009971045,0.000042933487,0.0002019546,0.00009377654,0.0005445184,0.00011333963,0.0039129797,0.9881655],"study_design_scores_gemma":[0.00041498413,0.00076154986,0.00010017381,0.001194756,0.000035769037,0.00005712445,0.000035456767,0.00053252943,0.000004760298,0.000008454349,0.99664545,0.00020898478],"about_ca_topic_score_codex":0.000031251286,"about_ca_topic_score_gemma":0.0000488235,"teacher_disagreement_score":0.99273247,"about_ca_system_score_codex":0.0000129427235,"about_ca_system_score_gemma":0.00012639104,"threshold_uncertainty_score":0.7207282},"labels":[],"label_agreement":null},{"id":"W2147612083","doi":"10.1109/emb.2007.910270","title":"A General-Purpose MR-Compatible Robotic System","year":2008,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Advanced MRI Techniques and Applications","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":"University of Calgary","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute; National Institutes of Health; National and Kapodistrian University of Athens","keywords":"Modalities; Computer science; Interface (matter); Rapid prototyping; Medical robotics; General purpose; Control system; Manipulator (device); Systems engineering; Medical physics; Robot; Artificial intelligence; Engineering; Medicine; Operating system; Mechanical engineering; Computer architecture","score_opus":0.04491845710119464,"score_gpt":0.3109723575293146,"score_spread":0.26605390042812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147612083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81153286,0.0021364419,0.18134373,0.0017700117,0.00025589802,0.00065959,0.0000030668612,0.00047807003,0.0018203568],"genre_scores_gemma":[0.9729909,0.000924152,0.024672259,0.00027769723,0.0004236259,0.00008722853,0.000028768156,0.00002246958,0.00057292776],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917084,0.000010349414,0.0002850004,0.00024180379,0.000055221913,0.00023680467],"domain_scores_gemma":[0.9995464,0.00005459849,0.000039719245,0.00021048539,0.00003811815,0.00011066667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000111832764,0.00016111233,0.0004351018,0.00021276023,0.000038181963,0.0000011277859,0.000058031557,0.00010745692,0.00001399799],"category_scores_gemma":[0.000038727565,0.00012049391,0.000027140455,0.00027897742,0.0001180779,0.000026359556,0.000017367303,0.0002207152,0.000012720097],"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":[0.00016389377,0.00032678858,0.054423228,0.0009856644,0.000077397046,0.0007377915,0.0006641467,0.016781097,0.8787898,0.01856822,0.022534477,0.005947538],"study_design_scores_gemma":[0.02145887,0.007017421,0.20381853,0.0044463123,0.0004852727,0.015262599,0.00028312043,0.48967096,0.025636138,0.00064419676,0.22908859,0.0021880062],"about_ca_topic_score_codex":0.000028517126,"about_ca_topic_score_gemma":0.0000023616394,"teacher_disagreement_score":0.85315365,"about_ca_system_score_codex":0.000046199155,"about_ca_system_score_gemma":0.000017906172,"threshold_uncertainty_score":0.49135992},"labels":[],"label_agreement":null},{"id":"W2157281548","doi":"10.1109/memb.2009.932477","title":"Error detection and unit conversion","year":2009,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Heart, Lung, and Blood Institute; U.S. Food and Drug Administration; University of Toronto; University of Oxford; National Institutes of Health; National Science Foundation","keywords":"Computer science; Biomedicine; Ode; Programming language; Bioinformatics; Applied mathematics; Mathematics","score_opus":0.01491471949119318,"score_gpt":0.25449458968750827,"score_spread":0.23957987019631508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157281548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957919,0.0018114673,0.0018414197,0.00030511883,0.00010380433,0.000053500546,5.7057656e-7,0.000012505372,0.00007970113],"genre_scores_gemma":[0.9985927,0.00069874496,0.00013556403,0.00019405014,0.0002508943,0.0000020367825,0.000021035967,0.0000057683087,0.00009923348],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99947894,0.000021711308,0.0001260117,0.00020456196,0.00002619263,0.00014258153],"domain_scores_gemma":[0.9997866,0.000011743955,0.00002454348,0.00010502299,0.000017499146,0.000054604385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016108234,0.00010917562,0.00015577029,0.000107407,0.000020465755,0.0000020940754,0.00003983698,0.00014077712,0.000005487955],"category_scores_gemma":[0.000037186426,0.000090689435,0.000014019529,0.00011017395,0.0000600638,0.000002087192,0.000013986497,0.000087508706,0.0000013431833],"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":[0.000026981092,0.0000078105895,0.007136353,0.000011651634,0.000018675491,0.000002932134,0.000018112398,0.0006188366,0.9869587,0.000014078317,0.0002994381,0.004886466],"study_design_scores_gemma":[0.0073706065,0.0060356185,0.63005763,0.00018510137,0.00023419122,0.0003244614,0.00012929605,0.05851157,0.13891529,0.00021453248,0.15691754,0.0011041623],"about_ca_topic_score_codex":0.000005869074,"about_ca_topic_score_gemma":0.0000142624185,"teacher_disagreement_score":0.8480434,"about_ca_system_score_codex":0.0000044636226,"about_ca_system_score_gemma":0.0000046037803,"threshold_uncertainty_score":0.36982077},"labels":[],"label_agreement":null},{"id":"W2157917050","doi":"10.1109/memb.2006.1607673","title":"Increasing the effect size in event-related fMRI studies","year":2006,"lang":"en","type":"review","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Blind Source Separation Techniques","field":"Computer Science","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; University of British Columbia Hospital","funders":"","keywords":"Functional magnetic resonance imaging; Voxel; Independent component analysis; Computer science; Artificial intelligence; Pattern recognition (psychology); Neuroimaging; Communication noise; Noise (video); Psychology; Neuroscience; Image (mathematics)","score_opus":0.0400669426045037,"score_gpt":0.35889016519130473,"score_spread":0.318823222586801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157917050","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":[0.0007655614,0.9939657,0.0035676856,0.0004606479,0.00041255564,0.0005359846,7.826801e-7,0.0001660832,0.00012501169],"genre_scores_gemma":[0.002065283,0.99647,0.001007404,0.00009106863,0.00015091138,0.00011422459,0.00001044846,0.000019667199,0.00007102819],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979725,0.00056178874,0.00070489757,0.00040005744,0.000082974984,0.0002778164],"domain_scores_gemma":[0.99641037,0.0030377237,0.00016101418,0.0003359302,0.00002339277,0.000031585936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025546057,0.00036604237,0.0013652721,0.00043187148,0.00002917661,0.000015117807,0.000459001,0.00030243341,0.0000015044984],"category_scores_gemma":[0.00079683046,0.0002017252,0.00007485125,0.0008518999,0.00013128454,0.00007144854,0.00012763645,0.00074861007,0.0000051983325],"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":[0.000009814177,0.00004811152,0.0006374077,0.0073140827,0.00028723406,0.00016181097,0.0010164537,0.0006465519,0.00014125767,0.0036247396,0.004757416,0.98135513],"study_design_scores_gemma":[0.0015080533,0.0009306464,0.0006543199,0.021295132,0.00018245255,0.0004414994,0.000008893123,0.0053752353,0.000011946071,0.00052511814,0.9683276,0.0007391196],"about_ca_topic_score_codex":0.000045016877,"about_ca_topic_score_gemma":0.000024305707,"teacher_disagreement_score":0.980616,"about_ca_system_score_codex":0.000071103386,"about_ca_system_score_gemma":0.00003313877,"threshold_uncertainty_score":0.82261145},"labels":[],"label_agreement":null},{"id":"W2161117546","doi":"10.1109/51.982280","title":"Assessing fatigue with electromyographic spike parameters","year":2001,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Muscle activation and electromyography studies","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":"Brock University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institutes of Health; Lehigh University; Mayo Foundation for Medical Education and Research; Mayo Clinic","keywords":"Spike (software development); Electromyography; Spectral analysis; Computer science; Equivalence (formal languages); Signal processing; SIGNAL (programming language); Constant (computer programming); Pattern recognition (psychology); Neurophysiology; Speech recognition; Artificial intelligence; Mathematics; Physical medicine and rehabilitation; Medicine; Neuroscience; Physics; Psychology; Telecommunications","score_opus":0.03912971667309293,"score_gpt":0.2780788631157869,"score_spread":0.23894914644269397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161117546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9760619,0.0012222903,0.02055009,0.0003848201,0.00018231137,0.000116767136,3.7957244e-7,0.00027125707,0.0012102129],"genre_scores_gemma":[0.99680483,0.0016582131,0.0012435648,0.0001148051,0.000104331775,0.000030369458,0.00000828463,0.000024628453,0.000010956806],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99912137,0.000014925994,0.0002171175,0.00020469903,0.000061978775,0.00037989914],"domain_scores_gemma":[0.9996523,0.000113458234,0.000023073942,0.00012114471,0.000022560373,0.0000674106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000149097,0.00022275685,0.00031843525,0.0005001685,0.000034031484,0.0000137802435,0.00007193393,0.000087566994,0.000010631239],"category_scores_gemma":[0.000029508263,0.00016740744,0.000022926431,0.0007639422,0.00010329155,0.00012699062,0.0000064258957,0.00028248242,5.4842036e-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":[0.00011511667,0.00011429437,0.3352911,0.0005033721,0.000797567,0.00018784257,0.0009884484,0.040620677,0.46127167,0.0013237506,0.0051083597,0.15367779],"study_design_scores_gemma":[0.006289459,0.002147476,0.9013377,0.0009030246,0.0001416117,0.00041967616,0.00031163427,0.05163664,0.004255072,0.00041230334,0.030505888,0.0016395056],"about_ca_topic_score_codex":0.000017338074,"about_ca_topic_score_gemma":0.000029270988,"teacher_disagreement_score":0.5660466,"about_ca_system_score_codex":0.000020210031,"about_ca_system_score_gemma":0.0000049277373,"threshold_uncertainty_score":0.68266773},"labels":[],"label_agreement":null},{"id":"W2164744718","doi":"10.1109/memb.2007.335583","title":"A pattern recognition application framework for biomedical datasets","year":2007,"lang":"en","type":"article","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Scientific Computing and Data Management","field":"Decision Sciences","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":"National Research Council Institute for Biodiagnostics","funders":"Natural Sciences and Engineering Research Council of Canada; Princeton University","keywords":"Computer science; Serialization; Scripting language; Software engineering; Plug-in; Visualization; Source code; Open source; Operating system; Python (programming language); Programming language; Graphical user interface; Codebase; Software; Distributed computing; Data mining","score_opus":0.13948983393184433,"score_gpt":0.41513180935523386,"score_spread":0.27564197542338953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164744718","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":[0.066899225,0.00009074236,0.93021196,0.0014184923,0.001018399,0.00019567201,0.00007163639,0.000038536444,0.000055329077],"genre_scores_gemma":[0.97369987,0.000031314365,0.023678472,0.0007239283,0.0009418397,0.000029751953,0.00084819226,0.000009766308,0.000036852038],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985568,0.0000230359,0.0004887139,0.00048645417,0.00019488888,0.00025009154],"domain_scores_gemma":[0.99748427,0.0019221397,0.0000823711,0.00036932956,0.000050318977,0.000091569425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005992393,0.00010179867,0.000208244,0.0004942853,0.00003834184,0.000020128466,0.00027465844,0.00009846033,0.000030071873],"category_scores_gemma":[0.0031096954,0.00007056647,0.00001877472,0.00059717166,0.00010910589,0.00005304333,0.00006593752,0.00013101299,0.000044608165],"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":[0.000025698953,0.00005052441,0.0028928602,0.00002479752,0.000009362334,0.0000060957764,0.00013783616,0.00004390436,0.0024559777,0.0005683615,0.039897643,0.9538869],"study_design_scores_gemma":[0.0027815744,0.0008803024,0.047510404,0.00031619825,0.000038678238,0.00003893104,0.00029359915,0.15552036,0.00022474387,0.042214874,0.74970317,0.00047718297],"about_ca_topic_score_codex":0.000019232675,"about_ca_topic_score_gemma":0.000021026308,"teacher_disagreement_score":0.95340973,"about_ca_system_score_codex":0.0000138624,"about_ca_system_score_gemma":0.000005670619,"threshold_uncertainty_score":0.37228206},"labels":[],"label_agreement":null}]}