{"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":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062303157,0.013253769,0.29955465,0.05240002,0.0045437263,0.0031332655,0.0022403675,0.003820185,0.6148237],"genre_scores_gemma":[0.27222827,0.030211102,0.2727441,0.029029699,0.006932378,0.003967455,0.005893419,0.0015095851,0.377484],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97955966,0.005489677,0.0017735967,0.0018287051,0.010257044,0.0010913492],"domain_scores_gemma":[0.97201097,0.008038427,0.0028741779,0.0035266872,0.012201843,0.001347911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01724719,0.001663982,0.0009900857,0.004193173,0.0028320234,0.010565936,0.0044640186,0.0039969375,0.049169138],"category_scores_gemma":[0.050405715,0.00052743015,0.0015818576,0.0019529383,0.0022508458,0.0069572395,0.0066086655,0.0041809,0.022462027],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012807232,0.00019430666,0.003513381,0.0009643415,0.00013873895,0.00055840553,0.0014644079,0.00417924,0.0010166828,0.27855292,0.23986527,0.46942422],"study_design_scores_gemma":[0.000032695425,0.00011300492,0.0011141418,0.0011627863,0.00007493664,0.001098533,0.0010242721,0.003798307,0.001291612,0.12992907,0.8602811,0.00007955903],"about_ca_topic_score_codex":0.0022413863,"about_ca_topic_score_gemma":0.0015064125,"teacher_disagreement_score":0.049169138,"about_ca_system_score_codex":0.0038212766,"about_ca_system_score_gemma":0.008934674,"threshold_uncertainty_score":0.16448718},"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":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022178235,0.87700784,0.00038712317,0.07136587,0.04298622,0.00001894547,0.000058840495,0.00007205102,0.007881346],"genre_scores_gemma":[0.0022717856,0.82821965,0.0010581281,0.11446399,0.030432768,0.000034339137,0.00010748788,0.000025843085,0.023385948],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99945086,0.00010800137,0.000059209506,0.00006142375,0.0002703457,0.000050193456],"domain_scores_gemma":[0.9985771,0.00030490317,0.00013564064,0.00003509516,0.0005792875,0.00036805568],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001319631,0.00087297295,0.001256986,0.0020786605,0.001389923,0.0037992748,0.0009601146,0.0050198566,0.013906426],"category_scores_gemma":[0.0027722572,0.0002943714,0.0005983305,0.003280227,0.0011783538,0.005741173,0.0022002114,0.0054253065,0.0074700844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018721246,0.000025824973,0.00016959115,0.0015184124,0.000013204188,0.00007381433,0.00007549614,0.000045404315,0.000108904125,0.00225175,0.7130682,0.28263077],"study_design_scores_gemma":[0.000009449141,0.000039126473,0.0005976311,0.0024760766,0.000015539677,0.00038475782,0.00023158875,0.000024642351,0.00003163887,0.00197847,0.99419856,0.000012477601],"about_ca_topic_score_codex":0.0029085476,"about_ca_topic_score_gemma":0.019590832,"teacher_disagreement_score":0.99868035,"about_ca_system_score_codex":0.0008574406,"about_ca_system_score_gemma":0.0038772742,"threshold_uncertainty_score":0.046521604},"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":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001877572,0.0031499267,0.0022980864,0.07563784,0.114514366,0.00025494792,0.00097527704,0.0025589438,0.798733],"genre_scores_gemma":[0.004085269,0.0013615602,0.00071755744,0.024545109,0.0062474543,0.000056429686,0.00034363783,0.00044003472,0.9622029],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920064,0.0000776876,0.00003587464,0.00014716305,0.00035429158,0.0001843695],"domain_scores_gemma":[0.9973972,0.00017257537,0.000051026946,0.00014415334,0.0008046064,0.0014304852],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00077102793,0.0010330584,0.0006226016,0.00088365865,0.0030543446,0.00459242,0.0011893094,0.004002644,0.667856],"category_scores_gemma":[0.004485888,0.0003478213,0.00086974975,0.00041179432,0.0007121789,0.0036723153,0.004301395,0.004568277,0.424097],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016834792,0.00002536914,0.00009449881,0.000021762271,0.0000011494928,0.00014300365,0.000031564694,0.000012359982,0.000097289,0.000754395,0.9757446,0.02305722],"study_design_scores_gemma":[0.000007166279,0.000023085868,0.0001767303,0.00005542413,0.0000013151754,0.00021840518,0.00016355266,0.000022854018,0.0000789796,0.00061335147,0.9986331,0.0000059451627],"about_ca_topic_score_codex":0.0021014882,"about_ca_topic_score_gemma":0.0060114176,"teacher_disagreement_score":0.667856,"about_ca_system_score_codex":0.0007136097,"about_ca_system_score_gemma":0.002562897,"threshold_uncertainty_score":0.4737631},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018814128,0.00053510093,0.9780667,0.000073474745,0.00006977518,0.00022371688,0.00010404317,0.00058790925,0.0015251598],"genre_scores_gemma":[0.2149917,0.0013590857,0.7791697,0.00009059719,0.00014952772,0.00039391627,0.0002277168,0.00028858805,0.003329152],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992567,0.00012520164,0.000054150227,0.00022390684,0.000300289,0.000039705166],"domain_scores_gemma":[0.99894255,0.00046777175,0.000070518625,0.00010906078,0.00038319165,0.000026919677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013234742,0.0005589406,0.00070638,0.0010291733,0.00025740592,0.0009195712,0.00087219593,0.00080825994,0.0014225764],"category_scores_gemma":[0.0056897094,0.00046161024,0.00037038166,0.0008247851,0.0003211618,0.0005417632,0.00053642056,0.0006484635,0.0009627838],"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":[0.00029251695,0.00010472483,0.0033110434,0.0004261472,0.000049453836,0.00027333686,0.00026491884,0.012054905,0.30333534,0.0023242796,0.00096771825,0.6765957],"study_design_scores_gemma":[0.0000863867,0.0013353543,0.07979015,0.00025952604,0.00020258695,0.0038852114,0.00044435335,0.52202624,0.34769255,0.0065994347,0.037444748,0.00023346498],"about_ca_topic_score_codex":0.0008415266,"about_ca_topic_score_gemma":0.00091757,"teacher_disagreement_score":0.0014225764,"about_ca_system_score_codex":0.00023313852,"about_ca_system_score_gemma":0.0003809424,"threshold_uncertainty_score":0.006999314},"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":"commentary","genre_gemma":"methods","domain_codex":null,"domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00056347006,0.0017232174,0.0014007586,0.6511696,0.29772198,0.000045278226,0.00006474158,0.00045411548,0.046856917],"genre_scores_gemma":[0.008585964,0.0021574677,0.0014822885,0.6438308,0.12123981,0.00013037142,0.00007377374,0.0004254714,0.22207409],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961098,0.0013145857,0.00028341552,0.000296669,0.0012857914,0.0007097016],"domain_scores_gemma":[0.973278,0.0057799257,0.0010329346,0.0012167499,0.009606892,0.009085497],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006998027,0.0010325512,0.0011390038,0.001188202,0.012029596,0.013812808,0.0014292471,0.017553786,0.114575654],"category_scores_gemma":[0.044930644,0.0005938273,0.00114343,0.0007154564,0.004326411,0.007339598,0.0059047034,0.019337688,0.058786396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000147381825,0.000028717213,0.000086093125,0.00003412287,0.0000047831313,0.00009758551,0.00057279575,0.00000973775,0.00015735503,0.0018088762,0.989233,0.007952243],"study_design_scores_gemma":[0.00001505918,0.000059218964,0.0003585706,0.00026524765,0.000012193981,0.0002552845,0.0044728224,0.000059497936,0.00023421155,0.003706426,0.99053276,0.000028695144],"about_ca_topic_score_codex":0.0036645406,"about_ca_topic_score_gemma":0.0075111105,"teacher_disagreement_score":0.993002,"about_ca_system_score_codex":0.0014499362,"about_ca_system_score_gemma":0.006358392,"threshold_uncertainty_score":0.38329375},"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":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076305517,0.3664566,0.10123155,0.019089382,0.22471291,0.00020056772,0.00038558137,0.001654448,0.2786385],"genre_scores_gemma":[0.06119119,0.29797047,0.04903142,0.012432495,0.11053963,0.00019470417,0.0007117755,0.0007922828,0.4671361],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990087,0.000101239944,0.000059039954,0.000116508345,0.00066714734,0.00004735591],"domain_scores_gemma":[0.99905425,0.00026299086,0.00008324053,0.00006493855,0.00041222677,0.00012237164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007028982,0.0009424058,0.0005491263,0.0013246534,0.0005337025,0.0017582263,0.000963601,0.0019365187,0.015964365],"category_scores_gemma":[0.0016325605,0.00029979178,0.00049203343,0.00060354196,0.0004845931,0.001934204,0.0009756297,0.001400425,0.008723034],"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":[0.00015805422,0.00009383926,0.00035105678,0.0020319265,0.00007495995,0.0007407022,0.000111776426,0.0004639373,0.031267382,0.028464362,0.40376732,0.53247476],"study_design_scores_gemma":[0.0000073516794,0.00007446121,0.0001858723,0.00014722075,0.00001924841,0.0012581818,0.000022950864,0.00035451556,0.007227746,0.0025082687,0.9881769,0.00001729886],"about_ca_topic_score_codex":0.00013304003,"about_ca_topic_score_gemma":0.00036725015,"teacher_disagreement_score":0.015964365,"about_ca_system_score_codex":0.00034494558,"about_ca_system_score_gemma":0.00050668564,"threshold_uncertainty_score":0.05340612},"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":"commentary","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00027526758,0.012013852,0.00060973875,0.77093107,0.20738025,0.000029675866,0.000107595435,0.00014806187,0.008504526],"genre_scores_gemma":[0.0034263362,0.011568011,0.0014575607,0.7609962,0.1960471,0.00007268958,0.00015784347,0.0000874017,0.026186863],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956536,0.0006793795,0.0002548299,0.0004621865,0.0024682516,0.0004816151],"domain_scores_gemma":[0.9877873,0.0033492262,0.00056325534,0.00033508122,0.00427774,0.003687379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008817225,0.001516776,0.0012257082,0.0007211328,0.0032314628,0.006192121,0.0018060524,0.0230036,0.019151755],"category_scores_gemma":[0.018027179,0.0005984825,0.001341257,0.00062360516,0.0025139935,0.00543999,0.0022936906,0.027706593,0.0120487325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000106613725,0.000022099008,0.00006588812,0.00006973495,0.000009547337,0.00008470228,0.0000374806,0.000030928237,0.00012994008,0.001848049,0.98626846,0.011422532],"study_design_scores_gemma":[0.000012962681,0.000025989337,0.00033607552,0.00013718093,0.000009383873,0.00018277668,0.00008543278,0.000048435715,0.000077217934,0.0031249954,0.9959409,0.000018512575],"about_ca_topic_score_codex":0.0025058198,"about_ca_topic_score_gemma":0.0046426808,"teacher_disagreement_score":0.0230036,"about_ca_system_score_codex":0.001844819,"about_ca_system_score_gemma":0.007286176,"threshold_uncertainty_score":0.06406897},"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":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07247848,0.006298514,0.002202837,0.1235318,0.15546143,0.0019604184,0.1339758,0.0044573094,0.49963346],"genre_scores_gemma":[0.091906935,0.004818148,0.0009635652,0.05744804,0.042448357,0.0015722092,0.03272479,0.0021494492,0.7659685],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923134,0.00008520768,0.000048108195,0.00009740279,0.0003067434,0.00023125454],"domain_scores_gemma":[0.99309456,0.00024061861,0.00032035777,0.00021525657,0.0024499015,0.0036793167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014542512,0.0009021922,0.0006031708,0.0022913574,0.0059850262,0.0047082114,0.0012769519,0.0032478045,0.1750999],"category_scores_gemma":[0.005719672,0.00045069456,0.00044387148,0.0035025282,0.00048044103,0.001970045,0.0038507753,0.0047089625,0.10148831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011399232,0.00008223622,0.0014286569,0.000056576264,0.0000030386182,0.00008633154,0.0002204757,0.000016460142,0.00005410833,0.000098179,0.9863399,0.011500043],"study_design_scores_gemma":[0.000039139934,0.00012623458,0.026974866,0.00028946408,0.00001093802,0.000118672055,0.0025175547,0.00006738253,0.00018460113,0.00015724433,0.9694642,0.000049647915],"about_ca_topic_score_codex":0.019620508,"about_ca_topic_score_gemma":0.058253497,"teacher_disagreement_score":0.1750999,"about_ca_system_score_codex":0.0015617142,"about_ca_system_score_gemma":0.0030051514,"threshold_uncertainty_score":0.5857675},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022046061,0.99725133,0.00021120344,0.00016991922,0.00024618916,0.000014349252,0.000018379316,0.000014825091,0.0018532487],"genre_scores_gemma":[0.0022184527,0.9957903,0.00042224606,0.00024606774,0.0001890101,0.000027989041,0.000033335265,0.0000028443674,0.0010697894],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995658,0.00008839864,0.00007990205,0.000057406953,0.00018431224,0.00002414588],"domain_scores_gemma":[0.9994215,0.00032643715,0.00009660974,0.000017488901,0.00011538779,0.00002260598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007248928,0.0010643095,0.0014461515,0.0035107424,0.00037806208,0.0013032467,0.0009380472,0.0013591684,0.005594735],"category_scores_gemma":[0.0015248213,0.00025279916,0.0008019594,0.0027863428,0.00049523066,0.001347945,0.00063157955,0.00091370475,0.00347122],"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":[0.00005959521,0.000086148306,0.0003973653,0.015315634,0.00011727706,0.00021118367,0.00009376493,0.00015403198,0.00050231675,0.0013878362,0.012210863,0.969464],"study_design_scores_gemma":[0.000044310735,0.00027477564,0.00788967,0.0120041175,0.0003904547,0.004502145,0.00024967268,0.00021211199,0.0009987163,0.0026844337,0.97070116,0.000048382793],"about_ca_topic_score_codex":0.0015535272,"about_ca_topic_score_gemma":0.0030251055,"teacher_disagreement_score":0.005594735,"about_ca_system_score_codex":0.0006427232,"about_ca_system_score_gemma":0.00085087575,"threshold_uncertainty_score":0.018716216},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00033729462,0.9916455,0.001607467,0.0003811689,0.00021624376,0.000009485796,0.00001197066,0.000025903126,0.005764903],"genre_scores_gemma":[0.0044336175,0.9905839,0.0014916605,0.00034347278,0.00022896417,0.000029376053,0.000029045166,0.0000057732727,0.0028541572],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99974185,0.000045707213,0.000027759465,0.000042355954,0.000121935656,0.000020431959],"domain_scores_gemma":[0.9997857,0.0000784814,0.000035879933,0.0000114091945,0.00007359396,0.000014970554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005457716,0.0009973529,0.0013347772,0.0027168582,0.00063630583,0.0015258125,0.0011258487,0.00204114,0.0038963435],"category_scores_gemma":[0.00062553596,0.0002789188,0.00047592667,0.0019190045,0.0011555402,0.0022308952,0.0008988544,0.0011342176,0.0037321742],"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":[0.000041687854,0.00008622731,0.00018613557,0.010233528,0.000049130278,0.00041700804,0.00027242262,0.00070533605,0.0040226895,0.017310474,0.0124378,0.95423746],"study_design_scores_gemma":[0.000013689593,0.000095784424,0.00090148847,0.0031337333,0.00004560157,0.0024155402,0.00023454534,0.00023042949,0.001590655,0.009968319,0.9813374,0.000032751646],"about_ca_topic_score_codex":0.0015292007,"about_ca_topic_score_gemma":0.0018097683,"teacher_disagreement_score":0.0038963435,"about_ca_system_score_codex":0.0008632611,"about_ca_system_score_gemma":0.0010192663,"threshold_uncertainty_score":0.013034582},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01095981,0.0012067127,0.9824101,0.00023536623,0.00022081994,0.00017702089,0.00028236056,0.0019974178,0.0025104377],"genre_scores_gemma":[0.055328034,0.000898138,0.9367779,0.00026069616,0.00014758538,0.00032316224,0.0010750452,0.0002082592,0.0049811564],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999193,0.00008289819,0.000066991466,0.0001341918,0.00047155493,0.000051393392],"domain_scores_gemma":[0.9991628,0.00026391493,0.00006762671,0.00019681237,0.00028128532,0.000027499595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053371064,0.0009762071,0.000643562,0.0019110505,0.0006964838,0.00097509346,0.0009314274,0.0012565779,0.0041063474],"category_scores_gemma":[0.0031015908,0.00032568973,0.0005126274,0.0026465205,0.00066229305,0.0014341616,0.00092001643,0.0009654854,0.0020184289],"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":[0.00025974502,0.000058127654,0.0004766479,0.00023335965,0.000044826724,0.00020811969,0.00012919377,0.03197046,0.044996478,0.022496995,0.010392001,0.888734],"study_design_scores_gemma":[0.00017936618,0.00059690455,0.0015437895,0.00017403098,0.00009581251,0.003960522,0.00013033758,0.6654543,0.20895547,0.03963121,0.07917127,0.0001069701],"about_ca_topic_score_codex":0.0013991626,"about_ca_topic_score_gemma":0.0010865803,"teacher_disagreement_score":0.0041063474,"about_ca_system_score_codex":0.00054595113,"about_ca_system_score_gemma":0.0007675677,"threshold_uncertainty_score":0.0137370825},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.448862,0.0006900803,0.5427007,0.0012008649,0.00006622045,0.00024121234,0.00049844605,0.0011600059,0.0045804363],"genre_scores_gemma":[0.9026721,0.0001682317,0.095527835,0.000083572246,0.00002420644,0.00008661412,0.00028410432,0.00006098285,0.0010923618],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9933348,0.0028584227,0.0005246628,0.0008088652,0.0022051618,0.000268164],"domain_scores_gemma":[0.97008103,0.014028353,0.006835527,0.0018922588,0.0066585625,0.0005041958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006214424,0.00064498716,0.00068778003,0.0030879886,0.000597871,0.0013795504,0.0008682825,0.00080884167,0.0016451958],"category_scores_gemma":[0.027945746,0.00029014895,0.0007041989,0.002922866,0.0005038701,0.0013308802,0.0007343125,0.00089908484,0.0007437457],"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":[0.0007357348,0.0007439621,0.28534517,0.0006695138,0.00040473134,0.0001807964,0.001487629,0.15866433,0.021505132,0.0055383774,0.0038282978,0.5208964],"study_design_scores_gemma":[0.000047540027,0.0012791652,0.2997906,0.00014713351,0.00015044038,0.0003777442,0.001120599,0.65495044,0.031992737,0.0060445736,0.003957486,0.00014141152],"about_ca_topic_score_codex":0.0043244003,"about_ca_topic_score_gemma":0.0045877816,"teacher_disagreement_score":0.006214424,"about_ca_system_score_codex":0.0014540657,"about_ca_system_score_gemma":0.0019197344,"threshold_uncertainty_score":0.032865405},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985366,0.00011231761,0.00022255989,0.00001942653,0.000015490587,0.0000177212,0.00014699512,0.00002318466,0.0009056893],"genre_scores_gemma":[0.99902964,0.000094354575,0.0001246292,0.000025783078,0.000016969243,0.000014080225,0.00015949806,0.000007759533,0.0005273241],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996449,0.000055191565,0.00005236702,0.00012538687,0.000061172825,0.000061076404],"domain_scores_gemma":[0.9991015,0.00039422818,0.00006577961,0.000080807586,0.000104846404,0.00025288682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048854935,0.00063089037,0.0008957466,0.0012509384,0.00047517192,0.00039264097,0.0002377547,0.0006825016,0.0027662353],"category_scores_gemma":[0.0018446748,0.0002663265,0.00025848456,0.0003833967,0.001025419,0.00036929868,0.0004184206,0.00046539647,0.00064014277],"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":[0.017316828,0.0029160455,0.4562401,0.0006359739,0.00034776866,0.033682317,0.007081178,0.001109221,0.41025615,0.00070280617,0.0017832809,0.06792839],"study_design_scores_gemma":[0.00018140831,0.0032942006,0.9733472,0.000018762208,0.00010813198,0.012405684,0.0013578054,0.00087256334,0.007595084,0.0002582513,0.00052321603,0.00003769495],"about_ca_topic_score_codex":0.003628416,"about_ca_topic_score_gemma":0.0035272378,"teacher_disagreement_score":0.003628416,"about_ca_system_score_codex":0.00035190646,"about_ca_system_score_gemma":0.00022938727,"threshold_uncertainty_score":0.009253919},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9425201,0.012741712,0.036736615,0.0001136172,0.00014939086,0.00011586207,0.00081865996,0.00039199297,0.006412009],"genre_scores_gemma":[0.9879149,0.0039606593,0.004778679,0.00009167702,0.00015347128,0.00006803794,0.00087329,0.00030643085,0.0018528252],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989537,0.00019144572,0.00013153805,0.00023217218,0.00040345686,0.00008758665],"domain_scores_gemma":[0.9892203,0.008295335,0.000496879,0.00066872797,0.0011439256,0.00017468643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008361401,0.00067650276,0.00074670644,0.00084258127,0.0003962521,0.00078112783,0.00023525939,0.00034400471,0.0030181217],"category_scores_gemma":[0.007538192,0.00026670637,0.0007397185,0.00056532555,0.00032766926,0.0007407558,0.000562083,0.0004010304,0.00081107026],"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":[0.004920824,0.00059326616,0.10072796,0.0018463758,0.0007381901,0.001839367,0.00081652903,0.010460115,0.5100605,0.0002753083,0.0006946655,0.3670269],"study_design_scores_gemma":[0.00006213126,0.0038304578,0.6327862,0.00017174092,0.0016562159,0.0041552037,0.00060040964,0.007156224,0.33846137,0.00051800424,0.010437407,0.00016468726],"about_ca_topic_score_codex":0.0011352267,"about_ca_topic_score_gemma":0.0011698384,"teacher_disagreement_score":0.0030181217,"about_ca_system_score_codex":0.00017563635,"about_ca_system_score_gemma":0.00015742125,"threshold_uncertainty_score":0.01009661},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00046415254,0.99338114,0.0013042288,0.00030666208,0.0001945452,0.000005435225,0.000009690371,0.00001713359,0.00431703],"genre_scores_gemma":[0.006247178,0.9879497,0.0015668848,0.0004873987,0.00039515152,0.0000180269,0.000037436304,0.0000041101325,0.0032941124],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99983287,0.000037293947,0.000012543672,0.000038490114,0.000064115666,0.000014669611],"domain_scores_gemma":[0.9998023,0.00008652293,0.000022004457,0.000010264358,0.00006644118,0.0000124850585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005934437,0.000646384,0.0007062709,0.0021009503,0.00020543956,0.00074673566,0.0008153011,0.0011822867,0.0018903823],"category_scores_gemma":[0.0005621291,0.00017260663,0.00023598972,0.0013753932,0.0006410485,0.001204061,0.00035802255,0.0008090926,0.0026090094],"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":[0.000037611677,0.000056382767,0.00036717302,0.0040897643,0.00003995503,0.00053898257,0.00006332167,0.00027142253,0.0095777735,0.0041493876,0.013047025,0.96776116],"study_design_scores_gemma":[0.000013615722,0.00018659349,0.003413978,0.0015538089,0.000050482715,0.016210629,0.00012401071,0.0003754796,0.0061207972,0.003876211,0.96802807,0.000046374604],"about_ca_topic_score_codex":0.0009844229,"about_ca_topic_score_gemma":0.0012666585,"teacher_disagreement_score":0.0021009503,"about_ca_system_score_codex":0.000513516,"about_ca_system_score_gemma":0.00041772096,"threshold_uncertainty_score":0.006323993},"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":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010700222,0.00018619208,0.98817354,0.000050677965,0.00003343698,0.00003488065,0.000025838835,0.0002856894,0.0005095488],"genre_scores_gemma":[0.11510742,0.000525996,0.88217014,0.00006867012,0.00007537832,0.000089628265,0.00011297251,0.00008376755,0.0017659821],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992453,0.00014347417,0.000052455733,0.00011030676,0.00040344996,0.000045128763],"domain_scores_gemma":[0.99912065,0.0003182741,0.000068365414,0.00010670958,0.00035021472,0.00003579385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007473735,0.0006233877,0.00044208908,0.001734095,0.00021602007,0.00077778765,0.0006718433,0.00077184907,0.0009850374],"category_scores_gemma":[0.0024338851,0.00028478092,0.000580241,0.0010561082,0.00042596884,0.00062481913,0.0005423912,0.0007070589,0.00052138796],"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":[0.00029882338,0.0001685338,0.0029319734,0.00022560533,0.000120528755,0.00039744953,0.00016453759,0.024166808,0.2800949,0.010584614,0.0013104384,0.67953575],"study_design_scores_gemma":[0.000054270582,0.0007280968,0.0064044334,0.000043925982,0.00013054407,0.0019109194,0.0000931572,0.8195686,0.15244494,0.0066845184,0.01185538,0.000081239516],"about_ca_topic_score_codex":0.0010202704,"about_ca_topic_score_gemma":0.00090125314,"teacher_disagreement_score":0.001734095,"about_ca_system_score_codex":0.00023802169,"about_ca_system_score_gemma":0.00042311204,"threshold_uncertainty_score":0.003952503},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013406439,0.048782773,0.0063039777,0.068381816,0.010680551,0.00010614688,0.0011277172,0.0010220141,0.86225426],"genre_scores_gemma":[0.09159465,0.16688521,0.016029296,0.115866385,0.028897343,0.0004892978,0.0056923768,0.0014763549,0.5730691],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9914863,0.001289954,0.0005362715,0.0010717633,0.0047594327,0.0008562511],"domain_scores_gemma":[0.9714883,0.009767123,0.0019460454,0.0052272333,0.008864898,0.0027062984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006343936,0.00087779737,0.0012575885,0.0044722995,0.002977005,0.014211827,0.0036431267,0.007806476,0.16591981],"category_scores_gemma":[0.03988504,0.00053524715,0.0010541988,0.006318108,0.0059347,0.013510893,0.0035034954,0.0074558705,0.07154901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025758596,0.000036159887,0.0002743274,0.0005690637,0.000017368442,0.00058130745,0.00024157325,0.000196559,0.00040614634,0.17960045,0.5647495,0.25330183],"study_design_scores_gemma":[0.0000038754583,0.0000094979405,0.00013439031,0.0004130711,0.0000046059617,0.00032545556,0.00005211293,0.000060863233,0.00008923046,0.015416716,0.98347867,0.000011614181],"about_ca_topic_score_codex":0.0045025074,"about_ca_topic_score_gemma":0.004358544,"teacher_disagreement_score":0.16591981,"about_ca_system_score_codex":0.004169803,"about_ca_system_score_gemma":0.007487651,"threshold_uncertainty_score":0.55505705},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17806786,0.0010942522,0.81663734,0.00038500474,0.00015706812,0.00004611224,0.0003664129,0.00090274576,0.002343255],"genre_scores_gemma":[0.92784214,0.00058396254,0.06624023,0.000065830434,0.00009390566,0.000058385693,0.0006316794,0.00005618465,0.0044276374],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970955,0.00008506995,0.000019802676,0.000058810416,0.00008332453,0.000043466807],"domain_scores_gemma":[0.9991297,0.0006088159,0.000061888626,0.00004180308,0.00014008762,0.000017666825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008717124,0.00029771114,0.000350874,0.0004865507,0.00017878301,0.00043236575,0.00033036055,0.00043205926,0.0012812719],"category_scores_gemma":[0.0023332238,0.00016923882,0.0003494594,0.00034638157,0.00023928772,0.0004564255,0.00022304368,0.00056450034,0.00065203366],"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":[0.0006596606,0.00021227356,0.0082584955,0.00021238036,0.00012485888,0.00042100652,0.00026471965,0.4872341,0.04941191,0.021874256,0.0042054984,0.42712075],"study_design_scores_gemma":[0.000003954503,0.000017644079,0.0012485435,0.000005108491,0.000008086496,0.000020699928,0.000005671456,0.9945334,0.0021884656,0.0017224355,0.00024061014,0.000005266663],"about_ca_topic_score_codex":0.0056795157,"about_ca_topic_score_gemma":0.0056451275,"teacher_disagreement_score":0.0056795157,"about_ca_system_score_codex":0.0004235691,"about_ca_system_score_gemma":0.00035890305,"threshold_uncertainty_score":0.011292934},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011612385,0.00055277545,0.9869201,0.000052730786,0.00004423614,0.000053110612,0.00008352159,0.00015573588,0.0005253713],"genre_scores_gemma":[0.34970543,0.0016525794,0.6448957,0.000173373,0.00017157162,0.00017875999,0.0006106226,0.00013998046,0.0024719513],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993868,0.000107352564,0.000055114153,0.00015026455,0.0002484056,0.00005201469],"domain_scores_gemma":[0.99903655,0.0003373087,0.00020778125,0.000121619996,0.00025632905,0.000040398605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089742703,0.00054617366,0.0005200283,0.0021635084,0.00014739114,0.00084927276,0.00076004205,0.0005488356,0.0007283898],"category_scores_gemma":[0.0026133547,0.00022132753,0.0006764002,0.0017327484,0.0004982781,0.0010499902,0.00067215256,0.00055316766,0.00037301675],"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":[0.00033371794,0.000100804806,0.0046549253,0.00033423313,0.00012786587,0.00015071772,0.00013210632,0.050046932,0.092351645,0.01575477,0.0022095232,0.8338027],"study_design_scores_gemma":[0.000044121203,0.00052834605,0.010122485,0.00008197801,0.00015796613,0.00084835273,0.00009593557,0.90248626,0.056633618,0.015158577,0.013726588,0.00011576255],"about_ca_topic_score_codex":0.001358238,"about_ca_topic_score_gemma":0.0010141042,"teacher_disagreement_score":0.0021635084,"about_ca_system_score_codex":0.00037682947,"about_ca_system_score_gemma":0.0004553684,"threshold_uncertainty_score":0.0047460794},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7366133,0.00029874244,0.26029727,0.00010359378,0.000021820266,0.00008182026,0.0002796596,0.00029989408,0.0020039037],"genre_scores_gemma":[0.96565485,0.00015662497,0.033556517,0.000010398561,0.000012890273,0.000031396532,0.00015070694,0.000021285408,0.00040529302],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99995244,0.000012126841,0.000002929774,0.000012890994,0.000012377891,0.0000071283966],"domain_scores_gemma":[0.99976665,0.00014409644,0.000027432214,0.000013754113,0.000032608263,0.00001539251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013419104,0.0002360003,0.00013771608,0.00078094105,0.00007791307,0.00021552917,0.00013084215,0.00023709236,0.0005081214],"category_scores_gemma":[0.00137401,0.00007630631,0.00012862217,0.00031564117,0.0001524546,0.0002358919,0.00014924564,0.00016344334,0.00010474495],"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":[0.0007114437,0.00011629156,0.024536302,0.0002687808,0.00010351958,0.00077129883,0.00039913706,0.021047369,0.56826127,0.0022506758,0.0007045537,0.3808294],"study_design_scores_gemma":[0.00005391892,0.0005121615,0.3704049,0.00003963969,0.00011516214,0.0024283573,0.00032552826,0.48394468,0.13618585,0.004107202,0.0018129449,0.00006957513],"about_ca_topic_score_codex":0.00082199933,"about_ca_topic_score_gemma":0.0013810904,"teacher_disagreement_score":0.00082199933,"about_ca_system_score_codex":0.000077513636,"about_ca_system_score_gemma":0.00012917144,"threshold_uncertainty_score":0.0016998649},"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":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034899411,0.0043991664,0.033516116,0.67708635,0.1204546,0.0010743319,0.00032699265,0.006129227,0.15352331],"genre_scores_gemma":[0.03323522,0.00899421,0.1239502,0.38577595,0.02991016,0.0019066164,0.0010372654,0.0023237278,0.41286656],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99345607,0.001908507,0.00033920584,0.00027918626,0.002488417,0.0015286253],"domain_scores_gemma":[0.9837892,0.0012586303,0.00061357766,0.00039917164,0.0040153307,0.009924065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007925871,0.0017078593,0.0008295161,0.0014005223,0.012859329,0.009724742,0.0023757876,0.013865982,0.11387012],"category_scores_gemma":[0.027310885,0.0009373481,0.0015779539,0.0008577601,0.0016291235,0.010213126,0.010781779,0.013580854,0.068616316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017919128,0.00011674392,0.0002511641,0.000037276,0.0000072473317,0.0002148642,0.00031931675,0.00009467283,0.00016523931,0.0016098135,0.95177275,0.04539303],"study_design_scores_gemma":[0.000045519064,0.00021051777,0.0013931743,0.0002628322,0.000015289232,0.00059051084,0.004347121,0.00026898683,0.00017680856,0.009484614,0.98309106,0.00011347541],"about_ca_topic_score_codex":0.0040178807,"about_ca_topic_score_gemma":0.011238228,"teacher_disagreement_score":0.11387012,"about_ca_system_score_codex":0.0012520064,"about_ca_system_score_gemma":0.0058128512,"threshold_uncertainty_score":0.38093346},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10221435,0.00059268065,0.89115566,0.00036937173,0.000109706234,0.00010513324,0.00017532679,0.0020177015,0.0032600532],"genre_scores_gemma":[0.38452715,0.0012008004,0.60756224,0.00024392275,0.00012111761,0.0001343372,0.00048080526,0.00014979854,0.005579849],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999082,0.000008558569,0.0000062104023,0.000009335784,0.00006203006,0.0000056950794],"domain_scores_gemma":[0.99988997,0.000039093225,0.000013283573,0.000014993849,0.00003518268,0.0000075548623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011916439,0.00029481374,0.00027292428,0.00039156555,0.00015882177,0.00035448503,0.00027579928,0.00033475313,0.0014012093],"category_scores_gemma":[0.00054061774,0.00014312196,0.00021991144,0.00042437174,0.00017050952,0.00035986834,0.00022587739,0.00031666024,0.0005367924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035511857,0.000094878305,0.0008459435,0.00018907244,0.000031554053,0.0007573572,0.00008506012,0.016631724,0.5966293,0.004469936,0.0036210679,0.376289],"study_design_scores_gemma":[0.00013844967,0.0007366613,0.0042120423,0.000041593372,0.00007211743,0.003938866,0.000048455877,0.47912556,0.47759694,0.0050616884,0.028964628,0.00006294623],"about_ca_topic_score_codex":0.00036053263,"about_ca_topic_score_gemma":0.00039615313,"teacher_disagreement_score":0.0014012093,"about_ca_system_score_codex":0.00014489568,"about_ca_system_score_gemma":0.00016979322,"threshold_uncertainty_score":0.0046875477},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06395233,0.009158284,0.9063798,0.0018880318,0.0015779203,0.000485975,0.00085024163,0.0042374297,0.011469886],"genre_scores_gemma":[0.46015573,0.007844683,0.5159685,0.00050144864,0.0011698881,0.00043221246,0.0014933153,0.00047563572,0.011958599],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996929,0.000083781066,0.000027649072,0.000029285682,0.00015360604,0.000012759946],"domain_scores_gemma":[0.99853194,0.0005608479,0.000104950646,0.00022648055,0.0005278446,0.00004789829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040558018,0.0004950735,0.00020377875,0.0005877323,0.00018534041,0.0006425499,0.0005382526,0.00043134522,0.00658322],"category_scores_gemma":[0.0027682066,0.000108159446,0.00022360859,0.0009344332,0.00018694183,0.0007270652,0.00039523197,0.00047132355,0.0014637957],"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":[0.0005372455,0.000066884684,0.0014504709,0.0005665081,0.0000390232,0.00053228304,0.00014760472,0.0037052217,0.04954667,0.0018136058,0.009527687,0.93206674],"study_design_scores_gemma":[0.000378481,0.002689306,0.05570372,0.0012863857,0.00046711188,0.015041405,0.00075627543,0.38885778,0.31800878,0.01887124,0.19762869,0.0003108243],"about_ca_topic_score_codex":0.0006894121,"about_ca_topic_score_gemma":0.0009941226,"teacher_disagreement_score":0.00658322,"about_ca_system_score_codex":0.00022588386,"about_ca_system_score_gemma":0.00025512098,"threshold_uncertainty_score":0.022023022},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5007584,0.0020805986,0.47165486,0.0005524919,0.0002991578,0.0007575191,0.0029943623,0.010116581,0.010785992],"genre_scores_gemma":[0.63748217,0.00035813442,0.353899,0.00012660795,0.00011114756,0.00031454815,0.0029297129,0.00016264786,0.0046160533],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987979,0.0002100827,0.00020671978,0.00025307867,0.000420374,0.00011182772],"domain_scores_gemma":[0.9953134,0.0021497146,0.0004833275,0.0006201091,0.0012518831,0.0001814493],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0014685596,0.00053229474,0.0007472183,0.006486994,0.00060328975,0.0010810884,0.0009979412,0.0006908963,0.0033098892],"category_scores_gemma":[0.0076162745,0.00013419449,0.0004646068,0.0029917506,0.00031333105,0.0015446175,0.0011711183,0.0004147022,0.0014411673],"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":[0.0004606004,0.00026028516,0.012497209,0.0004279757,0.000087624634,0.0002319468,0.00027279052,0.0038608431,0.053017046,0.001751067,0.0045751072,0.92255753],"study_design_scores_gemma":[0.00012191439,0.00096137304,0.06372374,0.00018568659,0.00037791004,0.0024494892,0.0012618644,0.51198894,0.3713656,0.020267693,0.02707286,0.00022293026],"about_ca_topic_score_codex":0.0014394781,"about_ca_topic_score_gemma":0.0035599251,"teacher_disagreement_score":0.993513,"about_ca_system_score_codex":0.0005862005,"about_ca_system_score_gemma":0.0007875602,"threshold_uncertainty_score":0.011072636},"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":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07933654,0.19211343,0.6843055,0.002274756,0.0006970202,0.0016994848,0.001628467,0.0142605165,0.023684295],"genre_scores_gemma":[0.14021523,0.08334345,0.76003057,0.00079173467,0.00032983045,0.0011260483,0.0050226226,0.0018478095,0.007292633],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99500495,0.0013971147,0.00036398054,0.0008247034,0.0022109603,0.00019831106],"domain_scores_gemma":[0.9882798,0.006280303,0.0006307139,0.0006368742,0.004038789,0.00013343335],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008993155,0.0016433217,0.0015917117,0.0026493175,0.00048117017,0.0020896648,0.0034249038,0.0013856435,0.0037153247],"category_scores_gemma":[0.028116839,0.000778964,0.00087010866,0.0020838145,0.0003420951,0.002463348,0.00088040496,0.0006376171,0.0034995622],"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":[0.0002603215,0.0000857451,0.0015531476,0.0018604881,0.00016834185,0.00009880427,0.00012457909,0.005845234,0.008588513,0.0013061251,0.0060937875,0.97401494],"study_design_scores_gemma":[0.0008192618,0.0031805683,0.028582111,0.0047990605,0.0022896545,0.0043109753,0.0010118501,0.16290563,0.33708182,0.025893211,0.42855534,0.0005705297],"about_ca_topic_score_codex":0.0038985205,"about_ca_topic_score_gemma":0.0043326807,"teacher_disagreement_score":0.99100685,"about_ca_system_score_codex":0.0014480809,"about_ca_system_score_gemma":0.0022002691,"threshold_uncertainty_score":0.04756087},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6979718,0.0008058586,0.29717514,0.00010065333,0.000039273753,0.000120474775,0.00032998365,0.00058813515,0.002868613],"genre_scores_gemma":[0.8984753,0.000573147,0.09970001,0.000025985857,0.000035986282,0.00002773235,0.00038673606,0.00007285086,0.0007023422],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99960405,0.00007317234,0.000036922684,0.00004505937,0.00020377531,0.000037070837],"domain_scores_gemma":[0.99774384,0.0010440027,0.00034395937,0.00021741637,0.00057121686,0.000079521116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004152584,0.0003050719,0.00020997997,0.0023094346,0.00015302317,0.0006227725,0.0002139112,0.00020496272,0.000979368],"category_scores_gemma":[0.0035683569,0.0001634337,0.00015281074,0.0010015005,0.0002695904,0.0004859014,0.00025885203,0.0002365509,0.00027880713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010690127,0.000074253556,0.048276708,0.0003287626,0.00007733994,0.0009464273,0.00036612237,0.025040714,0.5651727,0.002657639,0.00069515395,0.35529524],"study_design_scores_gemma":[0.000037554193,0.0005768761,0.22232269,0.00006599325,0.00014966354,0.008624946,0.00060560403,0.35971922,0.3977325,0.0024220073,0.0076347427,0.00010823177],"about_ca_topic_score_codex":0.0006965788,"about_ca_topic_score_gemma":0.00089700473,"teacher_disagreement_score":0.0023094346,"about_ca_system_score_codex":0.00018414803,"about_ca_system_score_gemma":0.00017407846,"threshold_uncertainty_score":0.0032762885},"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":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053471465,0.16703464,0.008428463,0.17951576,0.017479315,0.00003366254,0.00042468286,0.00021855881,0.5733936],"genre_scores_gemma":[0.6572079,0.20080945,0.00353907,0.036946796,0.013045278,0.000030218254,0.00023294141,0.0001276766,0.08806074],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983846,0.000375515,0.00003452701,0.00012585844,0.00089046493,0.00018902583],"domain_scores_gemma":[0.9979367,0.0010500664,0.00014266616,0.0001295976,0.0004580223,0.0002829819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012080312,0.0005725157,0.00034523936,0.00070411974,0.0016076165,0.005167979,0.00048320906,0.0023635803,0.014838513],"category_scores_gemma":[0.0039007026,0.00020474513,0.00035256916,0.0004915143,0.0037058105,0.0050254776,0.0028234732,0.0025549778,0.0040683057],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002494551,0.0001591191,0.006258578,0.0013837698,0.00016093596,0.0025389178,0.0021469223,0.004316712,0.014593714,0.33797675,0.25216168,0.37805355],"study_design_scores_gemma":[0.000010569197,0.00014382547,0.0077442504,0.0007830681,0.000040093753,0.0014573716,0.0040101553,0.0008352276,0.0019701826,0.29673472,0.6862064,0.00006410936],"about_ca_topic_score_codex":0.0015426171,"about_ca_topic_score_gemma":0.0019590363,"teacher_disagreement_score":0.014838513,"about_ca_system_score_codex":0.0014571748,"about_ca_system_score_gemma":0.0013541747,"threshold_uncertainty_score":0.04963976},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09506966,0.0011093935,0.625924,0.0014396827,0.0006078407,0.0022114029,0.0050093443,0.2527118,0.015916951],"genre_scores_gemma":[0.4147114,0.0007110619,0.5551714,0.0010252071,0.0002658949,0.001267166,0.010517227,0.005405567,0.010925074],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984921,0.00030718342,0.00011762081,0.00035084056,0.00062176085,0.00011037488],"domain_scores_gemma":[0.9973156,0.00095867587,0.00016862062,0.00033459687,0.0008090664,0.00041349247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024547018,0.0011076565,0.0005316419,0.0014980421,0.0003577007,0.0016008333,0.0019529467,0.00067657785,0.007499758],"category_scores_gemma":[0.006331183,0.0004537591,0.0005892593,0.00080254534,0.00058030075,0.0015737158,0.0013913991,0.0010948193,0.0035097734],"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":[0.005203928,0.0010526865,0.035787538,0.0010452727,0.00054614845,0.002268481,0.0020264762,0.049815506,0.12542251,0.011885577,0.10355664,0.66138923],"study_design_scores_gemma":[0.00096598035,0.0017400453,0.02668914,0.00033396538,0.00034017215,0.0014290151,0.0006187402,0.70798147,0.08843368,0.007428374,0.16361201,0.0004274934],"about_ca_topic_score_codex":0.0036924898,"about_ca_topic_score_gemma":0.0032011776,"teacher_disagreement_score":0.007499758,"about_ca_system_score_codex":0.0009229009,"about_ca_system_score_gemma":0.0016830773,"threshold_uncertainty_score":0.025089204},"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":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025552459,0.0009878012,0.04225449,0.008787857,0.0032334765,0.00017568082,0.0007484906,0.005442478,0.91281724],"genre_scores_gemma":[0.21659102,0.00093591545,0.02314894,0.009495341,0.0009093694,0.00023527184,0.0011162348,0.0023360965,0.74523187],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99896157,0.00013612032,0.000029454148,0.00028262538,0.00034741513,0.00024291054],"domain_scores_gemma":[0.99850345,0.000115756186,0.00007628794,0.00027340118,0.0003312356,0.00069990027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077921606,0.00081723905,0.00044915124,0.0006094862,0.0037642012,0.003734157,0.0013035168,0.0011885613,0.16374502],"category_scores_gemma":[0.0032598423,0.0002077127,0.0004383288,0.00050573243,0.0016587693,0.002987383,0.0050573796,0.0020533467,0.0950151],"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":[0.00039920572,0.00024198325,0.006499163,0.0002910482,0.000072210685,0.0016777777,0.009736837,0.0007853791,0.020676583,0.0780369,0.3973525,0.4842304],"study_design_scores_gemma":[0.000011620743,0.0000918808,0.0018455095,0.00006786738,0.000015310647,0.000709273,0.002074888,0.00035878705,0.0013470622,0.008762262,0.98467654,0.00003907706],"about_ca_topic_score_codex":0.0022373663,"about_ca_topic_score_gemma":0.004507935,"teacher_disagreement_score":0.16374502,"about_ca_system_score_codex":0.00077418203,"about_ca_system_score_gemma":0.0010302642,"threshold_uncertainty_score":0.54778165},"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":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0130923195,0.006849017,0.007232683,0.21837056,0.12627877,0.00029882014,0.00053414924,0.003678498,0.6236652],"genre_scores_gemma":[0.023306571,0.001788447,0.0045543895,0.04809238,0.011785236,0.00015019062,0.0002972345,0.001212278,0.90881336],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99932826,0.0001170847,0.000028702638,0.00010743988,0.0002918606,0.00012667784],"domain_scores_gemma":[0.99656004,0.0002999771,0.00013999704,0.00021688997,0.001121116,0.0016620765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013484515,0.00068570144,0.00039540854,0.00058262644,0.0070049036,0.006868974,0.0011759547,0.00292739,0.13333282],"category_scores_gemma":[0.0057159117,0.000578987,0.0004789282,0.0005552846,0.0017442793,0.006309014,0.0054989927,0.0059086657,0.048599217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018742527,0.000042238546,0.000286563,0.0000332926,0.0000026858247,0.000116969546,0.00078262994,0.000024652754,0.00024872983,0.0043025445,0.96573967,0.028401256],"study_design_scores_gemma":[0.0000039646843,0.000024624456,0.000392585,0.00006679663,0.000001335965,0.00010243072,0.0012105738,0.000043968146,0.000081794664,0.0007951795,0.99726796,0.00000879726],"about_ca_topic_score_codex":0.0025268365,"about_ca_topic_score_gemma":0.00965633,"teacher_disagreement_score":0.13333282,"about_ca_system_score_codex":0.00060478115,"about_ca_system_score_gemma":0.001504644,"threshold_uncertainty_score":0.44604272},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005739525,0.996132,0.0008735579,0.00015979681,0.00012906229,0.000007303382,0.0000067308283,0.000021022839,0.002096516],"genre_scores_gemma":[0.003014975,0.9938917,0.0011733357,0.00015805206,0.00017065821,0.000014206586,0.000021636111,0.000002432313,0.0015528853],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99981016,0.000031803134,0.000020497177,0.000031809835,0.00009068125,0.0000150912165],"domain_scores_gemma":[0.9998105,0.00007108314,0.00002924762,0.000006549438,0.00006521948,0.000017532788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048871845,0.0008821381,0.00094288,0.0021514536,0.00018541995,0.000679285,0.000771998,0.00096193625,0.0016584614],"category_scores_gemma":[0.0005501867,0.0002442915,0.0002918911,0.0016089986,0.00031234472,0.0012559994,0.00036307122,0.0006357321,0.0024294944],"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":[0.000036674995,0.00007282927,0.00024224943,0.0044711004,0.000031781332,0.00041419044,0.00003465504,0.00023887293,0.0030599816,0.0009810298,0.0071364264,0.9832803],"study_design_scores_gemma":[0.00002606009,0.0003328373,0.0029039907,0.0022912845,0.00011693242,0.01142828,0.00012504419,0.000533343,0.0037609686,0.0015082832,0.97692513,0.000047881447],"about_ca_topic_score_codex":0.0007941709,"about_ca_topic_score_gemma":0.0013368102,"teacher_disagreement_score":0.0021514536,"about_ca_system_score_codex":0.000274535,"about_ca_system_score_gemma":0.0005917247,"threshold_uncertainty_score":0.0055481195},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31071696,0.04714122,0.61053777,0.0017470474,0.0014828399,0.0007056731,0.00077687216,0.0012777797,0.025613798],"genre_scores_gemma":[0.6554812,0.023056943,0.29219696,0.0004970504,0.00018845772,0.0003716568,0.00089345267,0.00021641863,0.027097836],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997496,0.000051487037,0.000020330792,0.000032665976,0.000121533514,0.000024352203],"domain_scores_gemma":[0.99991727,0.000018656508,0.000014978665,0.000018623055,0.000018158942,0.000012267251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044756237,0.00030627198,0.00027435838,0.0004795232,0.00027533318,0.0006116739,0.00036658466,0.00069646887,0.00056894915],"category_scores_gemma":[0.00028388825,0.00023893343,0.00030378762,0.0003542757,0.00031843156,0.0005865839,0.00029923808,0.00063657336,0.0007574167],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039543265,0.00003116915,0.0001304982,0.00011631016,0.00000907132,0.00014522487,0.00002583762,0.0003012233,0.96939766,0.005826461,0.00038819894,0.023588868],"study_design_scores_gemma":[0.000016520504,0.00036381106,0.0004702187,0.000032472948,0.000024350125,0.0012649351,0.000021539856,0.0024612148,0.91703653,0.0009859846,0.07730616,0.000016302252],"about_ca_topic_score_codex":0.00048217434,"about_ca_topic_score_gemma":0.0004887771,"teacher_disagreement_score":0.00069646887,"about_ca_system_score_codex":0.00030338383,"about_ca_system_score_gemma":0.0004614862,"threshold_uncertainty_score":0.00236696},"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":"editorial","genre_gemma":"methods","domain_codex":null,"domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011461567,0.005457122,0.01897925,0.10716513,0.6418431,0.0010488231,0.0012488225,0.009768153,0.2133434],"genre_scores_gemma":[0.009275266,0.011006487,0.024346374,0.07605346,0.20351416,0.0012515491,0.0014153109,0.006611609,0.6665257],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9926479,0.0011479439,0.0012041208,0.00051103707,0.004007383,0.00048168385],"domain_scores_gemma":[0.9347222,0.009761773,0.0055762,0.0063804667,0.033613846,0.009945653],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007398548,0.0016968611,0.0020471837,0.0026525713,0.002771278,0.010599039,0.0015671215,0.0050544753,0.39528772],"category_scores_gemma":[0.06847257,0.0006883637,0.0015325821,0.00236564,0.0016334535,0.004446743,0.00391271,0.0054966956,0.486846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022417911,0.000016132577,0.00007832557,0.00018769893,0.0000070782066,0.00015370626,0.000058014586,0.000031569667,0.0005351501,0.0006997925,0.9417561,0.05645387],"study_design_scores_gemma":[0.000023018296,0.00006240324,0.00028834803,0.000508761,0.0000054511747,0.00052040257,0.00012945218,0.00011431439,0.00044724235,0.0020028572,0.99587446,0.00002329194],"about_ca_topic_score_codex":0.0004267388,"about_ca_topic_score_gemma":0.0009013853,"teacher_disagreement_score":0.99260145,"about_ca_system_score_codex":0.00081760983,"about_ca_system_score_gemma":0.0052921865,"threshold_uncertainty_score":0.86254865},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966487,0.00012055377,0.0026165352,0.0000138870055,0.0000141419405,0.00002704957,0.000017525797,0.000011425012,0.0005302858],"genre_scores_gemma":[0.9956697,0.00018731134,0.0031393361,0.000021817876,0.000019124856,0.00002392667,0.000048112823,0.000004671808,0.0008858925],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996816,0.00011779945,0.000022062102,0.000046121735,0.000103614984,0.000028845403],"domain_scores_gemma":[0.9991357,0.00039012785,0.00016135281,0.000044048516,0.00017021723,0.00009857347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061260426,0.00028856378,0.0001679899,0.0002107715,0.00012131194,0.00021161603,0.0001239466,0.0003079168,0.0015174544],"category_scores_gemma":[0.0017496353,0.0000793983,0.00014826735,0.00009718609,0.00020569436,0.00018356722,0.00021217992,0.00011570024,0.00014444871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039083133,0.0014035753,0.0362772,0.00042371088,0.00010643971,0.0002027086,0.00059163437,0.0027075375,0.8382579,0.00024458437,0.00034983578,0.11552666],"study_design_scores_gemma":[0.00028755204,0.08843447,0.49085432,0.000064812906,0.00037968473,0.0015412528,0.001083121,0.017101929,0.3970491,0.00037806891,0.0027421354,0.00008355861],"about_ca_topic_score_codex":0.000347448,"about_ca_topic_score_gemma":0.00061433756,"teacher_disagreement_score":0.0015174544,"about_ca_system_score_codex":0.0001015966,"about_ca_system_score_gemma":0.00015657663,"threshold_uncertainty_score":0.005076349},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013666004,0.10241933,0.60440946,0.18598591,0.018999934,0.00012339948,0.0003865113,0.0017557708,0.07225368],"genre_scores_gemma":[0.45303386,0.10516724,0.31103048,0.050725527,0.032943577,0.0006440407,0.00046241007,0.0014384853,0.04455439],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.987717,0.00458824,0.0006682181,0.0019065385,0.004363802,0.00075626257],"domain_scores_gemma":[0.9243254,0.053661577,0.0019445798,0.010600965,0.008322634,0.0011448566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015787117,0.0011677564,0.002255279,0.002673868,0.003645625,0.00643064,0.003536597,0.0074446187,0.0061698454],"category_scores_gemma":[0.06421354,0.00081730605,0.0011700775,0.0018654694,0.023223119,0.023126965,0.005817811,0.013235009,0.0035870352],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004248117,0.000023506911,0.0002626732,0.0003457364,0.000031698142,0.00011512458,0.00047709394,0.0024143672,0.00076225115,0.94764507,0.009060895,0.038819186],"study_design_scores_gemma":[0.0000146318525,0.00003133897,0.000062619474,0.00017866722,0.000009859618,0.00014883328,0.00007895887,0.00283887,0.0008715591,0.9614185,0.034305356,0.000040841536],"about_ca_topic_score_codex":0.0012137614,"about_ca_topic_score_gemma":0.00057717616,"teacher_disagreement_score":0.015787117,"about_ca_system_score_codex":0.0025245657,"about_ca_system_score_gemma":0.0033224737,"threshold_uncertainty_score":0.083491206},"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":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010703471,0.024225574,0.7493008,0.004172008,0.0021981027,0.00016232053,0.0006849655,0.0005759463,0.20797686],"genre_scores_gemma":[0.4605937,0.04825521,0.26991215,0.0048130197,0.0038577705,0.001490573,0.001272285,0.00053030055,0.20927496],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994586,0.0001108657,0.000029584195,0.000091238784,0.00024318743,0.00006661893],"domain_scores_gemma":[0.99960095,0.00015779198,0.00003847128,0.0000507818,0.00012601117,0.00002603842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049214246,0.0010516549,0.0009734951,0.0011642566,0.0007467993,0.001438162,0.0012262027,0.0015991369,0.0072429124],"category_scores_gemma":[0.001053891,0.0003859655,0.0007471521,0.0011306739,0.0024256974,0.0021429698,0.0011089684,0.0015925945,0.0035217432],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069179227,0.0000075279913,0.000057786117,0.0001245253,0.000007630601,0.000087464716,0.00013408028,0.004295705,0.0012746557,0.97919524,0.004415864,0.010392757],"study_design_scores_gemma":[0.000015406767,0.000041293333,0.00023496135,0.00006073508,0.0000063049265,0.0004974084,0.000055563654,0.033585936,0.0012392561,0.837081,0.12715064,0.00003139263],"about_ca_topic_score_codex":0.0010989289,"about_ca_topic_score_gemma":0.00045746722,"teacher_disagreement_score":0.0072429124,"about_ca_system_score_codex":0.00088668393,"about_ca_system_score_gemma":0.0007541228,"threshold_uncertainty_score":0.024230003},"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":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006756719,0.084543824,0.075792,0.34984845,0.009145663,0.00013532685,0.00019736789,0.00024713847,0.47333354],"genre_scores_gemma":[0.3423366,0.20514585,0.12915327,0.09262821,0.034229655,0.0009872116,0.00039112673,0.00028420633,0.19484378],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99855953,0.0005872585,0.000045811914,0.00012864232,0.0004785407,0.00020025074],"domain_scores_gemma":[0.9978157,0.0011380576,0.000102137674,0.00020388463,0.000521038,0.00021912294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002322864,0.00079309096,0.00037727595,0.0009641451,0.0013406273,0.0050410405,0.0012244298,0.005408031,0.019575886],"category_scores_gemma":[0.0029614263,0.0002257721,0.0005678318,0.0007409013,0.0032174292,0.008787014,0.0020272175,0.003372916,0.004271835],"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":[0.000017281815,0.00003289561,0.00019968516,0.00014410914,0.000009225075,0.00010874383,0.00011948118,0.00052579946,0.00038693723,0.9409991,0.025738524,0.0317183],"study_design_scores_gemma":[0.000023172592,0.00007414961,0.00033626062,0.00028362792,0.000010320422,0.0002956487,0.00042477256,0.001549913,0.00049770274,0.45706332,0.53941756,0.00002356491],"about_ca_topic_score_codex":0.0008848517,"about_ca_topic_score_gemma":0.0008966099,"teacher_disagreement_score":0.019575886,"about_ca_system_score_codex":0.0019335614,"about_ca_system_score_gemma":0.0014075416,"threshold_uncertainty_score":0.06548786},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000058259266,0.9922152,0.0009998345,0.0025803957,0.0017333772,0.0000060853613,0.000007986654,0.000019667405,0.0023792696],"genre_scores_gemma":[0.001052021,0.99055886,0.0010165952,0.0016001061,0.0031962271,0.000012989214,0.000018109222,0.0000068857485,0.0025382387],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99921215,0.00020426365,0.000055182092,0.000081649334,0.0004073778,0.000039414714],"domain_scores_gemma":[0.9980617,0.0012605898,0.00009476422,0.00007379907,0.0004143347,0.00009492576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019409852,0.001063015,0.0013975651,0.0031211697,0.00052817876,0.0018652963,0.0010406079,0.0023066688,0.0027829634],"category_scores_gemma":[0.0028186282,0.0004130701,0.000445834,0.003560292,0.0019710297,0.0036681304,0.0010356002,0.0045631044,0.0035657266],"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":[0.000032389846,0.0000738977,0.0001751543,0.0043136245,0.00009095729,0.00015751706,0.00009314457,0.0006817193,0.00056642934,0.027108561,0.17557736,0.7911293],"study_design_scores_gemma":[0.000011433006,0.000033997992,0.00035228854,0.0017597637,0.000021590558,0.0005501814,0.000035003653,0.00026625223,0.00019400119,0.018333416,0.978425,0.000017181448],"about_ca_topic_score_codex":0.001172494,"about_ca_topic_score_gemma":0.0019992809,"teacher_disagreement_score":0.0031211697,"about_ca_system_score_codex":0.0015687174,"about_ca_system_score_gemma":0.0014815277,"threshold_uncertainty_score":0.011381924},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050045725,0.006378045,0.8686799,0.000838042,0.00080268783,0.001456127,0.00057189184,0.014705332,0.05652216],"genre_scores_gemma":[0.2493701,0.0048065595,0.6716056,0.0013291076,0.00037516505,0.0010106679,0.00088003767,0.00036828118,0.07025456],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99958676,0.000052167987,0.000026741483,0.00009735682,0.0002136333,0.000023387149],"domain_scores_gemma":[0.99978715,0.000024364452,0.000028184744,0.00003194585,0.00009302762,0.000035376615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042178456,0.00059863884,0.0005203407,0.0005442693,0.00040232335,0.0006102697,0.0009222931,0.0007841207,0.0048797433],"category_scores_gemma":[0.00047721,0.00029773242,0.0002706213,0.00032795678,0.00029838172,0.0005846416,0.0006589429,0.00055171276,0.003624345],"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":[0.0004012159,0.00017327022,0.0013026766,0.0012753861,0.000045920708,0.0018482193,0.00019780251,0.0034504973,0.46932346,0.008508752,0.02237705,0.4910958],"study_design_scores_gemma":[0.00014934083,0.0033003886,0.0069591156,0.00031882658,0.00019256743,0.01721387,0.000107583604,0.029038144,0.22582228,0.0023079582,0.7143047,0.0002852383],"about_ca_topic_score_codex":0.0006712062,"about_ca_topic_score_gemma":0.00082649663,"teacher_disagreement_score":0.0048797433,"about_ca_system_score_codex":0.00021161018,"about_ca_system_score_gemma":0.0007544398,"threshold_uncertainty_score":0.016324341},"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":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018890563,0.00048391882,0.9396176,0.00039648544,0.00077044097,0.0001920065,0.00048614768,0.027343905,0.011818967],"genre_scores_gemma":[0.46971703,0.00041810542,0.50308806,0.00057517906,0.00026020443,0.0003142882,0.0013427922,0.0048959325,0.019388456],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9925815,0.0010652352,0.00071433757,0.0015931891,0.003437179,0.00060851325],"domain_scores_gemma":[0.98691297,0.004241709,0.001039256,0.0050929156,0.0025368219,0.00017627951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030915237,0.0017463762,0.0012575826,0.0035440712,0.0010898006,0.003954271,0.0026770693,0.0016108089,0.016895648],"category_scores_gemma":[0.03244353,0.00068910734,0.0011791532,0.0020632856,0.0015192919,0.0037672136,0.0036192893,0.0019894966,0.005914379],"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":[0.0012646989,0.00021388412,0.006486107,0.0005913623,0.00014533215,0.0016100692,0.00083798694,0.036338374,0.025133975,0.14613017,0.021001695,0.7602464],"study_design_scores_gemma":[0.000085981286,0.00030467755,0.0018017091,0.0004234929,0.00011458843,0.0023211949,0.0003173065,0.4553465,0.29609558,0.16314703,0.079826176,0.0002158574],"about_ca_topic_score_codex":0.0015349867,"about_ca_topic_score_gemma":0.0008103113,"teacher_disagreement_score":0.016895648,"about_ca_system_score_codex":0.0009750903,"about_ca_system_score_gemma":0.0015288827,"threshold_uncertainty_score":0.056521595},"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":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007216119,0.9787892,0.015785838,0.0017214912,0.00047934693,0.00006181528,0.00006246359,0.000091748916,0.0022864938],"genre_scores_gemma":[0.017997595,0.93759584,0.036860358,0.0027966953,0.0022912046,0.00047880464,0.0001530404,0.00006697065,0.0017595141],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9951374,0.0022969446,0.00047916555,0.00063751824,0.0013754239,0.0000736867],"domain_scores_gemma":[0.9489907,0.046881396,0.0012797635,0.00070384744,0.0019224996,0.00022189911],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.014251483,0.0016310805,0.0038163646,0.0047268234,0.00022914723,0.0012821216,0.002795368,0.0036162054,0.0041724015],"category_scores_gemma":[0.033239223,0.0008441496,0.0014934536,0.0029752206,0.00230765,0.0026975833,0.0009699063,0.0024676577,0.0017765666],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028394934,0.00006109152,0.00061585207,0.013630057,0.0005684961,0.00026210927,0.000064883774,0.0006595412,0.002313883,0.0077183084,0.0072645224,0.9665573],"study_design_scores_gemma":[0.001038683,0.0019109771,0.035154197,0.02221862,0.005041409,0.016582368,0.00029446487,0.0057171388,0.022412345,0.13373645,0.7555028,0.00039047722],"about_ca_topic_score_codex":0.0005250153,"about_ca_topic_score_gemma":0.0007827858,"teacher_disagreement_score":0.9857485,"about_ca_system_score_codex":0.00094195467,"about_ca_system_score_gemma":0.0011111711,"threshold_uncertainty_score":0.075369954},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86637145,0.0009625205,0.12762243,0.00011027829,0.00007120828,0.00015377894,0.000374282,0.00039634152,0.003937779],"genre_scores_gemma":[0.9824639,0.00029038292,0.016323831,0.000044123884,0.000023715203,0.000044005046,0.000140767,0.000029870323,0.0006394992],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992312,0.0002570957,0.00008790743,0.00008523905,0.00029901793,0.000039529303],"domain_scores_gemma":[0.9970696,0.0014892819,0.00025979977,0.0001857899,0.0009146653,0.000080846534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001531291,0.0003034018,0.00039279033,0.0010316903,0.0001066949,0.00049245876,0.00023645259,0.0005613131,0.0014037645],"category_scores_gemma":[0.007596305,0.00009001339,0.00018628348,0.0005752693,0.0002181006,0.0011017969,0.00043104845,0.00030723415,0.00038114053],"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":[0.0025342929,0.00034168703,0.15535326,0.0005984437,0.0002466079,0.0005257693,0.00076253485,0.0055626314,0.2988838,0.0008832152,0.00070441246,0.53360337],"study_design_scores_gemma":[0.0001366865,0.008679403,0.77129036,0.00015180589,0.00028304022,0.006433063,0.0010764028,0.0625357,0.1414457,0.0024898837,0.005306377,0.0001715437],"about_ca_topic_score_codex":0.000393158,"about_ca_topic_score_gemma":0.00068443414,"teacher_disagreement_score":0.001531291,"about_ca_system_score_codex":0.000093537215,"about_ca_system_score_gemma":0.000107181615,"threshold_uncertainty_score":0.008098304},"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":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011195304,0.0004768886,0.84989923,0.0005427806,0.00012645405,0.0007271565,0.014808063,0.12855631,0.0037436096],"genre_scores_gemma":[0.013388063,0.00086459616,0.9149339,0.00079299824,0.00009423264,0.0029711344,0.053539142,0.007572961,0.0058429493],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988433,0.00017550148,0.0002217009,0.00021098655,0.0004736132,0.00007484835],"domain_scores_gemma":[0.9985656,0.0004926452,0.000120709636,0.00037483597,0.00031728653,0.0001290011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023472256,0.001646628,0.0012123383,0.0031634278,0.0006223076,0.0022364384,0.0039482564,0.0012865774,0.024323087],"category_scores_gemma":[0.0070223208,0.0010247207,0.002442686,0.003704874,0.00040713354,0.0018810951,0.0027972348,0.0022608023,0.01565397],"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":[0.000497824,0.00016289549,0.002183789,0.0024337333,0.0004963031,0.0011039895,0.0002715951,0.021008814,0.017660886,0.031808108,0.4625719,0.45980033],"study_design_scores_gemma":[0.00046032728,0.00014134789,0.0034802016,0.00032677458,0.00012981106,0.0026391211,0.00008172805,0.19962725,0.01484556,0.063857816,0.71425354,0.00015638654],"about_ca_topic_score_codex":0.0043013436,"about_ca_topic_score_gemma":0.006019084,"teacher_disagreement_score":0.024323087,"about_ca_system_score_codex":0.0007610806,"about_ca_system_score_gemma":0.0026530912,"threshold_uncertainty_score":0.081368804},"labels":[],"label_agreement":null}]}