{"meta":{"query_hash":"37b6d171cb16","filters":{"venue":"Current Opinion in Biomedical Engineering"},"cohort_total":20,"direct_labels_cover":0,"predictions_cover":20,"exported":20,"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/37b6d171cb16","api":"https://metacan.xera.ac/api/v1/cohort?venue=Current+Opinion+in+Biomedical+Engineering"},"results":[{"id":"W2765515475","doi":"10.1016/j.cobme.2017.10.004","title":"Building with intent: Technologies and principles for engineering mammalian cell-based therapies to sense and respond","year":2017,"lang":"en","type":"review","venue":"Current Opinion in Biomedical Engineering","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":9,"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":"National Institute of General Medical Sciences; Chemistry of Life Processes Institute; Northwestern University; U.S. Department of Defense; National Cancer Institute; Island Coastal Economic Trust","keywords":"Computer science; Synthetic biology; Biology; Computational biology","score_opus":0.09828330294790764,"score_gpt":0.36594080334607937,"score_spread":0.2676575003981717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765515475","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006663376,0.97820264,0.018279498,0.00030998318,0.0011047088,0.0011647926,0.00004111093,0.00022730525,0.0000035970434],"genre_scores_gemma":[0.00096164754,0.97536194,0.022565454,0.000008106033,0.00027365074,0.0006144645,0.00009916744,0.000092127,0.000023465214],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998508,0.000012360738,0.00044822952,0.00045734577,0.000206836,0.00036726616],"domain_scores_gemma":[0.99891275,0.00038059746,0.00012099416,0.0003242095,0.000036883357,0.00022457317],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033457432,0.00041212,0.0011014566,0.0009323593,0.000051066287,0.00006282231,0.00009560617,0.00026049267,0.0000024831395],"category_scores_gemma":[0.0008244525,0.0002993541,0.00009491266,0.00025416614,0.000099886645,0.00004590508,0.00010409355,0.00040034112,8.189295e-7],"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":[0.0000748429,0.000077261575,0.00005611335,0.09709222,0.00009447465,0.000011610577,0.000072774186,0.00005250364,0.000088998444,0.00088254554,0.00010171253,0.90139496],"study_design_scores_gemma":[0.00095321215,0.00026306283,0.00005516234,0.03957734,0.00010564489,0.000043889384,0.000028127293,0.0045065116,0.000027581942,0.0000027166948,0.9541175,0.00031925953],"about_ca_topic_score_codex":0.0000011891536,"about_ca_topic_score_gemma":7.782757e-8,"teacher_disagreement_score":0.9540158,"about_ca_system_score_codex":0.000093623115,"about_ca_system_score_gemma":0.00010734545,"threshold_uncertainty_score":0.9999459},"labels":[],"label_agreement":null},{"id":"W2776084560","doi":"10.1016/j.cobme.2017.12.003","title":"The use of microfabrication technology to address the challenges of building physiologically relevant vasculature","year":2017,"lang":"en","type":"review","venue":"Current Opinion in Biomedical Engineering","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"CIHR Skin Research Training Centre; Canadian Institutes of Health Research; University of Toronto; Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Microfabrication; Microscale chemistry; Tissue engineering; Computer science; Nanotechnology; Biochemical engineering; Biomedical engineering; Materials science; Engineering; Pathology; Medicine","score_opus":0.20357365842431083,"score_gpt":0.4227895435094909,"score_spread":0.21921588508518006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2776084560","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000024772151,0.99213785,0.0031936073,0.00033620332,0.0033149365,0.0008337756,0.000034607325,0.00011909661,0.0000051559355],"genre_scores_gemma":[0.00038796413,0.997827,0.0011008788,7.107848e-7,0.00033548416,0.00026503758,0.000023144323,0.000057639074,0.000002144883],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971668,0.00010207682,0.0011073606,0.00040184293,0.00064526824,0.0005766581],"domain_scores_gemma":[0.99669737,0.0016075978,0.00026563567,0.0011612272,0.00011300907,0.0001551364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010538221,0.0003994561,0.0011474829,0.0006749163,0.000082362036,0.00004496106,0.001907545,0.000614136,0.0000037366378],"category_scores_gemma":[0.0039050544,0.00022688298,0.00030005779,0.0009685435,0.0004668036,0.000059322687,0.00063978735,0.001554178,0.0000061096157],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019358226,0.000034798675,8.284487e-7,0.017384715,0.00009400465,5.121996e-7,0.000028729039,0.0004914072,0.00016572725,0.002091793,0.00055585563,0.9791497],"study_design_scores_gemma":[0.00009042045,0.00003674557,0.00006171462,0.028007055,0.000025797674,0.000005554483,0.000004765317,0.0038361955,0.000018508144,0.000048126498,0.9676482,0.00021691131],"about_ca_topic_score_codex":0.0000031740083,"about_ca_topic_score_gemma":2.8336984e-7,"teacher_disagreement_score":0.9789328,"about_ca_system_score_codex":0.0001430692,"about_ca_system_score_gemma":0.00009426557,"threshold_uncertainty_score":0.92520195},"labels":[],"label_agreement":null},{"id":"W2954895796","doi":"10.1016/j.cobme.2019.06.002","title":"Advancements in 3D printed scaffolds to mimic matrix complexities for musculoskeletal repair","year":2019,"lang":"en","type":"review","venue":"Current Opinion in Biomedical Engineering","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; McGill University; Shriners Hospitals for Children - Canada","funders":"McGill University Health Centre","keywords":"3D bioprinting; 3D printing; 3d printed; Biomedical engineering; Fused deposition modeling; Polylactic acid; Scaffold; Polycaprolactone; Materials science; Tissue engineering; Matrix (chemical analysis); Computer science; Nanotechnology; Engineering; Polymer; Composite material","score_opus":0.10087245673031488,"score_gpt":0.43741475809512453,"score_spread":0.33654230136480967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954895796","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005728125,0.96358323,0.019159412,0.000028198467,0.013273019,0.0030176993,0.00018117132,0.0006635262,0.000036481888],"genre_scores_gemma":[0.000042441683,0.98819995,0.008172436,0.0000028010977,0.00093967887,0.0015263191,0.00084564474,0.00023045823,0.00004029686],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952552,0.0000706502,0.0016593002,0.0008208897,0.00087604974,0.0013179622],"domain_scores_gemma":[0.99803406,0.00071641826,0.000092110946,0.0006141899,0.000052487147,0.00049072265],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010087786,0.00076756894,0.0018473121,0.0022686918,0.000027658252,0.000048535716,0.0009027258,0.00055106904,0.000089661524],"category_scores_gemma":[0.0007249188,0.00075366214,0.00053717574,0.0018256675,0.00009572235,0.00011008076,0.00045120207,0.0009790797,0.00019317644],"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":[0.000007725497,0.00013469877,0.000013308123,0.20111723,0.00009684191,0.0000031223624,0.000050859548,0.0021092733,0.000007523938,0.00031730742,0.002404231,0.7937379],"study_design_scores_gemma":[0.00057594787,0.00008246455,0.00003499922,0.045154173,0.000025814397,0.0000051758625,0.0000064532237,0.06306239,5.6561476e-7,0.000009892568,0.8903939,0.00064821437],"about_ca_topic_score_codex":0.0000066184066,"about_ca_topic_score_gemma":9.732456e-7,"teacher_disagreement_score":0.8879897,"about_ca_system_score_codex":0.0010910067,"about_ca_system_score_gemma":0.00018890231,"threshold_uncertainty_score":0.99949145},"labels":[],"label_agreement":null},{"id":"W2973606086","doi":"10.1016/j.cobme.2019.09.006","title":"Multiscale models of kidney function and diseases","year":2019,"lang":"en","type":"review","venue":"Current Opinion in Biomedical Engineering","topic":"Ion Transport and Channel Regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Function (biology); Nephron; Computer science; Neuroscience; Kidney; Computational biology; Biology; Evolutionary biology","score_opus":0.04281949025203038,"score_gpt":0.3108819581981158,"score_spread":0.26806246794608546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973606086","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000032263677,0.98242515,0.01433224,0.0000057628286,0.0028543412,0.0002274812,0.000110688394,0.0000092280625,0.0000028654051],"genre_scores_gemma":[0.0005374317,0.99573994,0.00004089794,0.0000017848356,0.00043081277,0.000033362925,0.0031818366,0.000022502094,0.000011438903],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99912816,0.000013645578,0.0003420104,0.00025561254,0.00012800496,0.00013258628],"domain_scores_gemma":[0.999603,0.000009725902,0.00008105357,0.00013726568,0.000016319269,0.00015268588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000058441623,0.00018112222,0.00041623504,0.00014815204,0.00000790239,0.0000044524804,0.000077078475,0.00022621432,0.00000532685],"category_scores_gemma":[0.000031323238,0.00015894587,0.00012984095,0.00012339409,0.000036201483,0.0000044429567,0.000039158043,0.00011526284,0.0000012815744],"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":[0.000018684823,0.00016618542,0.000051582643,0.08204887,0.00007912354,1.9803157e-7,0.000014669,0.00050145236,0.00014118954,0.00031624257,0.0015584265,0.9151034],"study_design_scores_gemma":[0.00028868756,0.00005299547,0.00005451303,0.008160716,0.000061941646,0.0000018777754,0.0000014807974,0.0041948142,0.0000032228288,0.000013736519,0.98698556,0.00018044954],"about_ca_topic_score_codex":9.14228e-7,"about_ca_topic_score_gemma":3.1060377e-8,"teacher_disagreement_score":0.98542714,"about_ca_system_score_codex":0.000012038838,"about_ca_system_score_gemma":0.000091221154,"threshold_uncertainty_score":0.6481624},"labels":[],"label_agreement":null},{"id":"W2981827086","doi":"10.1016/j.cobme.2019.10.004","title":"Single-molecule imaging of the biophysics of molecular interactions with precision and control, in cell-like conditions, and without tethers","year":2019,"lang":"en","type":"review","venue":"Current Opinion in Biomedical Engineering","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Ansys (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nanotechnology; Function (biology); CRISPR; Computer science; Biological system; Biophysics; Chemistry; Biology; Materials science; Cell biology","score_opus":0.01528348845494988,"score_gpt":0.32909360144216093,"score_spread":0.31381011298721107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981827086","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019528377,0.94612294,0.05070282,0.000010420343,0.00046559828,0.0006566933,0.00007636437,0.00000838516,0.0000039462193],"genre_scores_gemma":[0.03718394,0.95971096,0.0027554168,0.000005500967,0.0000455086,0.00007752259,0.00016798465,0.00005117286,0.0000020247317],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99904835,0.00004555015,0.00037245813,0.0002761115,0.00011768374,0.00013984297],"domain_scores_gemma":[0.9994792,0.000037171623,0.00018974465,0.0002256696,0.000028610788,0.00003964819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009119868,0.00020454953,0.00045896787,0.00016286316,0.000009982847,0.000006774769,0.00014357003,0.000103398015,7.072871e-7],"category_scores_gemma":[0.000043724398,0.00015005648,0.000066492976,0.00021956918,0.00019272452,0.0000074963764,0.000119914206,0.0002582885,8.927386e-8],"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":[0.000037505994,0.0003388871,0.0008489257,0.022356212,0.00006517194,0.0000010240572,0.000062086976,0.00013196333,0.8015969,0.000051895157,0.00008064031,0.1744288],"study_design_scores_gemma":[0.004480931,0.0008450987,0.00032577358,0.17503391,0.00039540188,0.00012008274,0.00012268792,0.0049352506,0.118967816,0.00005767581,0.69283843,0.0018769444],"about_ca_topic_score_codex":0.0000029123662,"about_ca_topic_score_gemma":2.2552193e-7,"teacher_disagreement_score":0.6927578,"about_ca_system_score_codex":0.00002908565,"about_ca_system_score_gemma":0.00006377798,"threshold_uncertainty_score":0.61191255},"labels":[],"label_agreement":null},{"id":"W2988831829","doi":"10.1016/j.cobme.2019.10.008","title":"Editorial overview: Biomaterials: On the biocompatibility of biomaterials","year":2019,"lang":"en","type":"review","venue":"Current Opinion in Biomedical Engineering","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; University of Toronto; Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Biocompatibility; Nanotechnology; Biocompatible material; Biomedical engineering; Materials science; Engineering ethics; Engineering; Chemical engineering","score_opus":0.10737327586816986,"score_gpt":0.36015921544380064,"score_spread":0.2527859395756308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2988831829","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000073138726,0.6925279,0.000117839816,0.000006451387,0.3052531,0.0011462454,0.00050347066,0.00036193716,0.0000099285535],"genre_scores_gemma":[0.00007908212,0.9685189,0.00008147856,6.686575e-7,0.030304061,0.0003572472,0.00043778433,0.00021692757,0.0000038619514],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954782,0.00020467049,0.002247756,0.00060047983,0.00076359964,0.0007053032],"domain_scores_gemma":[0.99765784,0.0007320045,0.00031074346,0.0010780309,0.000042893116,0.0001784845],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014045347,0.0009922634,0.0029030633,0.0007965584,0.000024987825,0.00008628075,0.0009812239,0.00077084766,0.00043302533],"category_scores_gemma":[0.0003819081,0.0007203603,0.00044164804,0.0009837017,0.00011729164,0.00010133308,0.0002246635,0.00034115315,0.00047994178],"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":[0.000027546817,0.00042564503,7.0511817e-7,0.4783714,0.0005222643,0.0000023773664,0.00014628153,0.003013597,0.0042281197,0.0011097104,0.14026468,0.37188768],"study_design_scores_gemma":[0.000294356,0.000057132063,0.000003035466,0.03619178,0.000067476016,0.0000040461573,0.0000015735411,0.0009845617,0.0002693014,0.000008714025,0.9614826,0.00063541473],"about_ca_topic_score_codex":0.000008973014,"about_ca_topic_score_gemma":5.6555404e-8,"teacher_disagreement_score":0.82121795,"about_ca_system_score_codex":0.00034042256,"about_ca_system_score_gemma":0.000106487045,"threshold_uncertainty_score":0.9995248},"labels":[],"label_agreement":null},{"id":"W3013392571","doi":"10.1016/j.cobme.2020.03.002","title":"Three-dimensional bioprinting healthy and diseased models of the brain tissue using stem cells","year":2020,"lang":"en","type":"review","venue":"Current Opinion in Biomedical Engineering","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Michael Smith Health Research BC; Alzheimer's Association","keywords":"Neural stem cell; Stem cell; Tissue engineering; Neuroscience; Neural tissue engineering; 3D bioprinting; Brain tissue; Computer science; Biomedical engineering; Biology; Medicine; Cell biology","score_opus":0.10379902029677929,"score_gpt":0.37258262158318634,"score_spread":0.26878360128640705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013392571","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001164487,0.96989715,0.023483442,0.000104102335,0.0052850335,0.0008448177,0.00010206329,0.00016429968,0.0000026237115],"genre_scores_gemma":[0.0004237936,0.9969143,0.0016448802,0.000006280429,0.0007291308,0.000072892355,0.00004245153,0.00016496833,0.0000012874062],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99646324,0.000091193724,0.0012451218,0.00056529674,0.00095831027,0.00067683845],"domain_scores_gemma":[0.9981232,0.0006913442,0.00016675808,0.0004327806,0.00003564759,0.00055023195],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006818614,0.00054090825,0.0013185,0.000501722,0.000054426735,0.00003785872,0.00069044647,0.00040603612,0.000016183103],"category_scores_gemma":[0.00019286192,0.00042219207,0.00024085403,0.0014411459,0.00023518912,0.00008017694,0.00069992844,0.0015270807,0.0000071266977],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030861488,0.000048530866,0.000004722249,0.07746606,0.0000620378,0.000003074843,0.000032964803,0.0055464506,0.00011830289,0.0001619012,0.00037133278,0.9161815],"study_design_scores_gemma":[0.00022254293,0.000018917748,0.0000067421497,0.025200656,0.000028589031,0.000009704888,0.0000017444024,0.5072134,0.00001237966,0.000021631377,0.46695063,0.00031308024],"about_ca_topic_score_codex":0.000012956875,"about_ca_topic_score_gemma":3.426837e-7,"teacher_disagreement_score":0.91586846,"about_ca_system_score_codex":0.00029815687,"about_ca_system_score_gemma":0.0003132218,"threshold_uncertainty_score":0.999823},"labels":[],"label_agreement":null},{"id":"W3028933070","doi":"10.1016/j.cobme.2020.05.006","title":"Engineering the next generation of human skeletal muscle models: From cellular complexity to disease modeling","year":2020,"lang":"en","type":"review","venue":"Current Opinion in Biomedical Engineering","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund; Human Frontier Science Program","keywords":"Biofabrication; Skeletal muscle; Multicellular organism; Human disease; Tissue engineering; Biology; Computer science; Neuroscience; Computational biology; Disease; Anatomy; Pathology; Medicine; Biomedical engineering; Cell","score_opus":0.1996356189273996,"score_gpt":0.3478548016952235,"score_spread":0.1482191827678239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028933070","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012713257,0.9041365,0.09254304,0.00003839609,0.0014634718,0.0003943665,0.00012932763,0.00002182162,0.0000017668413],"genre_scores_gemma":[0.029748296,0.96243125,0.00042154564,0.000012554531,0.0019702548,0.00016694183,0.005185814,0.000062625004,7.406474e-7],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99847156,0.000055706856,0.0005541271,0.00048153548,0.00018655317,0.00025050453],"domain_scores_gemma":[0.9992885,0.000024739524,0.00008492974,0.00034917585,0.000023181628,0.00022944913],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012432561,0.00032105317,0.00056331983,0.00011265335,0.000041742667,0.000016026566,0.00038581953,0.00020453666,0.000012110013],"category_scores_gemma":[0.0001104323,0.00026992935,0.00026125473,0.00023065603,0.000049913742,0.000007705521,0.00025005607,0.00034448603,0.0000044094686],"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":[0.000028854038,0.0004843547,0.0000016561044,0.025031071,0.0003398971,0.0000035579699,0.0002626909,0.36956578,0.032209404,0.0025890453,0.0013129454,0.5681707],"study_design_scores_gemma":[0.00016957377,0.000043266715,0.000003379747,0.002220198,0.00004574673,2.3854793e-7,0.000005845622,0.60545194,0.000011646209,0.000041996944,0.39169586,0.0003103298],"about_ca_topic_score_codex":0.000016739408,"about_ca_topic_score_gemma":6.439456e-7,"teacher_disagreement_score":0.5678604,"about_ca_system_score_codex":0.000029767232,"about_ca_system_score_gemma":0.00009277506,"threshold_uncertainty_score":0.99997526},"labels":[],"label_agreement":null},{"id":"W3095532468","doi":"10.1016/j.cobme.2020.100251","title":"Exploiting noise to engineer adaptability in synthetic multicellular systems","year":2020,"lang":"en","type":"review","venue":"Current Opinion in Biomedical Engineering","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; National Institute of General Medical Sciences; Burroughs Wellcome Fund; National Institutes of Health; National Science Foundation","keywords":"Adaptability; Noise (video); Multicellular organism; Computer science; Engineering; Artificial intelligence; Biology; Ecology","score_opus":0.04302140512634013,"score_gpt":0.3133636522248877,"score_spread":0.2703422470985476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095532468","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00019876739,0.98226196,0.013414238,0.00002331725,0.0032798233,0.00074772607,0.0000327584,0.00003912223,0.0000022788597],"genre_scores_gemma":[0.0025085034,0.9944331,0.00047143165,0.000002073538,0.0015291063,0.00042475358,0.0005247415,0.00010116346,0.0000051336474],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968838,0.0001583987,0.0011189936,0.0009186537,0.00035857336,0.0005615552],"domain_scores_gemma":[0.9987611,0.00007997814,0.00013666472,0.0005593369,0.00003308774,0.00042980802],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00057725306,0.00055707607,0.0013407728,0.0005039172,0.000018426143,0.00003224802,0.000471474,0.00045088056,0.000009308299],"category_scores_gemma":[0.0005724194,0.0005435997,0.00038985623,0.0010889131,0.000036082423,0.0000043886907,0.00031438356,0.000554967,0.00003812342],"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":[0.000016556087,0.00038468227,0.00008452078,0.07070257,0.00034692293,0.00002312357,0.00012343463,0.06882522,0.0006987106,0.00006072149,0.00060871756,0.85812485],"study_design_scores_gemma":[0.00018545047,0.00003609862,0.00001088828,0.012276243,0.00006850509,0.0000093995295,0.000014304828,0.03504069,0.000006398404,2.519789e-7,0.9518451,0.00050667854],"about_ca_topic_score_codex":0.000007068482,"about_ca_topic_score_gemma":6.2005e-7,"teacher_disagreement_score":0.95123637,"about_ca_system_score_codex":0.00021060173,"about_ca_system_score_gemma":0.00016452966,"threshold_uncertainty_score":0.99970156},"labels":[],"label_agreement":null},{"id":"W3132047243","doi":"10.1016/j.cobme.2021.100273","title":"A suite of neurophotonic tools to underpin the contribution of internal brain states in fMRI","year":2021,"lang":"en","type":"review","venue":"Current Opinion in Biomedical Engineering","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","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":"Université Laval","funders":"National Institute on Drug Abuse; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Institute on Alcohol Abuse and Alcoholism; National Institute on Aging; Lundbeckfonden; National Institutes of Health; Novo Nordisk Fonden","keywords":"Suite; Psychology; Neuroscience; Computer science; Cognitive science; Political science; Law","score_opus":0.05120556542517891,"score_gpt":0.408208415786314,"score_spread":0.3570028503611351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132047243","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00019935124,0.9880848,0.0089059975,0.00054885057,0.0013226136,0.00083785807,0.00004633039,0.00004458902,0.000009594945],"genre_scores_gemma":[0.00085717306,0.9980818,0.00052126474,0.000021721058,0.00013430906,0.00010017049,0.0002500847,0.00002959495,0.000003853692],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979258,0.00009560105,0.0010307771,0.00028928302,0.00035171423,0.0003067952],"domain_scores_gemma":[0.99876946,0.0006065313,0.00014194101,0.0002792633,0.000065617976,0.00013720061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005932048,0.00024832154,0.001353975,0.0005401966,0.0000067408337,0.00001562948,0.00021537016,0.00014972009,0.000025775473],"category_scores_gemma":[0.0015340052,0.00017489507,0.00023924922,0.0010271317,0.0000981083,0.000031226748,0.00014349463,0.0008403617,0.0000018177305],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046477435,0.0008325357,0.00010531631,0.048647154,0.00014194586,0.000030253184,0.00028935922,0.000041733703,0.0006460795,0.0042708693,0.0021494122,0.94279885],"study_design_scores_gemma":[0.00049188116,0.00025552986,0.00008570768,0.13140023,0.000055605997,0.000036686622,0.00001541279,0.0027103755,0.00014173218,0.000024381727,0.8645897,0.00019274763],"about_ca_topic_score_codex":0.00001632068,"about_ca_topic_score_gemma":4.992878e-7,"teacher_disagreement_score":0.9426061,"about_ca_system_score_codex":0.0002157187,"about_ca_system_score_gemma":0.0002236003,"threshold_uncertainty_score":0.7132014},"labels":[],"label_agreement":null},{"id":"W3213375106","doi":"10.1016/j.cobme.2022.100387","title":"Micro-haemodynamics at the maternal–fetal interface: Experimental, theoretical and clinical perspectives","year":2022,"lang":"en","type":"review","venue":"Current Opinion in Biomedical Engineering","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Engineering and Physical Sciences Research Council; China Scholarship Council; Fondation Leducq","keywords":"Computer science; Placenta; Bioinformatics; Artificial intelligence; Biology; Fetus; Pregnancy","score_opus":0.06518957814058729,"score_gpt":0.4152434764246696,"score_spread":0.3500538982840823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213375106","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00032592574,0.9929995,0.000268442,0.00016324289,0.0053206095,0.0007336032,0.00006235199,0.0000681615,0.00005818814],"genre_scores_gemma":[0.00057004514,0.99828005,0.00011357496,0.000007267972,0.00061287574,0.00021088823,0.00012733211,0.000055008746,0.000022941485],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99754006,0.00017945444,0.00086192886,0.00060054206,0.0004337465,0.0003842448],"domain_scores_gemma":[0.99867517,0.0006229588,0.00012378811,0.0003604766,0.000012713527,0.00020492346],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006186933,0.0004531108,0.0013125662,0.00020391976,0.00010867938,0.00002453521,0.00027937375,0.00027435986,0.00053245894],"category_scores_gemma":[0.0002566411,0.00029294076,0.0004134638,0.0002742024,0.0008710353,0.000033788816,0.0010615308,0.0016678388,0.000015667894],"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":[0.00010007769,0.00080285507,0.00027340523,0.028756367,0.00069108885,0.000033130873,0.0011737453,0.000003104135,0.000004204809,0.0035609866,0.0017530108,0.962848],"study_design_scores_gemma":[0.0006749104,0.0001862334,0.00010506603,0.017553136,0.00017844448,0.0003262921,0.00019254883,0.00096544,0.0000010611858,0.0000137321085,0.9795025,0.00030064856],"about_ca_topic_score_codex":0.0000021423448,"about_ca_topic_score_gemma":1.3333322e-7,"teacher_disagreement_score":0.97774947,"about_ca_system_score_codex":0.0004128208,"about_ca_system_score_gemma":0.000098042256,"threshold_uncertainty_score":0.99995226},"labels":[],"label_agreement":null},{"id":"W3215260419","doi":"10.1016/j.cobme.2021.100363","title":"Antibacterial and antiviral high-performance nanosystems to mitigate new SARS-CoV-2 variants of concern","year":2021,"lang":"en","type":"review","venue":"Current Opinion in Biomedical Engineering","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Nanotechnology; Medicine; Infectious disease (medical specialty); Materials science; Disease","score_opus":0.07055426338099283,"score_gpt":0.36236457081068474,"score_spread":0.29181030742969194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215260419","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004242784,0.9702209,0.0054042633,0.000038147704,0.01910347,0.0008503508,0.000074507,0.0000574336,0.000008112187],"genre_scores_gemma":[0.020771764,0.97629243,0.00014064029,0.00000504973,0.0023124688,0.000030926793,0.00039373117,0.00004099199,0.00001201741],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981793,0.000043852462,0.00086530426,0.0003566178,0.00028720722,0.00026772812],"domain_scores_gemma":[0.9993807,0.00005832035,0.00018320876,0.00018237396,0.000052551826,0.00014286234],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002347392,0.00030068596,0.001468938,0.00046086745,0.000018429346,0.00002243227,0.000078582256,0.00026816447,0.000015524856],"category_scores_gemma":[0.00013835299,0.00026123342,0.00014512327,0.0005939562,0.000035001485,0.000078455414,0.00007847908,0.00034230924,0.000010922465],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019883308,0.00008924121,0.00008242552,0.042417582,0.000096858224,0.00000432201,0.000047382262,0.000004587636,0.000970063,0.000117821095,0.0005144991,0.9556353],"study_design_scores_gemma":[0.0012403197,0.00015918807,0.00081188645,0.09354224,0.00011510368,0.0000579576,0.0000014199278,0.0020754694,0.00009457294,4.2346443e-7,0.9016406,0.0002608243],"about_ca_topic_score_codex":0.000021815364,"about_ca_topic_score_gemma":2.4027992e-7,"teacher_disagreement_score":0.9553745,"about_ca_system_score_codex":0.00008867376,"about_ca_system_score_gemma":0.00028685675,"threshold_uncertainty_score":0.99998397},"labels":[],"label_agreement":null},{"id":"W4223598938","doi":"10.1016/j.cobme.2022.100395","title":"Antimicrobial polymeric composites for high-touch surfaces in healthcare applications","year":2022,"lang":"en","type":"review","venue":"Current Opinion in Biomedical Engineering","topic":"Antimicrobial agents and applications","field":"Chemistry","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Antimicrobial; Materials science; Nanotechnology; Polymer; Antibiotic resistance; Composite material; Biochemical engineering; Antibiotics; Biology; Engineering; Microbiology","score_opus":0.056653651983202484,"score_gpt":0.35233216948555457,"score_spread":0.2956785175023521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223598938","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000013817702,0.9917644,0.0040706284,0.0002044199,0.0014084302,0.0009673599,0.0014446387,0.00011873442,0.0000075399453],"genre_scores_gemma":[0.000119198354,0.98755693,0.0005861867,0.000008184703,0.0006419685,0.0024236382,0.008570559,0.00007720405,0.000016143113],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99772376,0.00002107826,0.0009567705,0.00061122514,0.00020189339,0.00048527936],"domain_scores_gemma":[0.99899507,0.00028377786,0.00022357378,0.00033058404,0.000015342066,0.00015167512],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012033254,0.00040748043,0.0009925362,0.00038193993,0.00010642107,0.00003566109,0.000564435,0.00026359296,0.00022551537],"category_scores_gemma":[0.000023888939,0.00041346197,0.00023030808,0.0009433304,0.00006434166,0.000040928724,0.00020768895,0.0007903218,0.000012477166],"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":[0.000003915893,0.0005682482,0.000015624822,0.07978118,0.0000395714,7.885346e-7,0.000026858172,0.0001186511,0.0002010101,0.0022833191,0.0020864338,0.9148744],"study_design_scores_gemma":[0.0002974419,0.000007787278,0.0000027399597,0.005973479,0.000027972586,0.000007412253,0.0000046828654,0.00044922865,0.000009652708,0.000010387665,0.9928181,0.0003910772],"about_ca_topic_score_codex":0.00007978758,"about_ca_topic_score_gemma":0.0000011491416,"teacher_disagreement_score":0.9907317,"about_ca_system_score_codex":0.0003250183,"about_ca_system_score_gemma":0.00019080596,"threshold_uncertainty_score":0.99983174},"labels":[],"label_agreement":null},{"id":"W4302363634","doi":"10.1016/j.cobme.2022.100420","title":"Brainy biomaterials: Latest advances in smart biomaterials to develop the next generation of neural interfaces","year":2022,"lang":"en","type":"review","venue":"Current Opinion in Biomedical Engineering","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Neuroscience; Brain implant; Neuromodulation; Computer science; Nanotechnology; Biology; Materials science; Central nervous system","score_opus":0.3079975191508359,"score_gpt":0.40599967308763046,"score_spread":0.09800215393679457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302363634","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011205527,0.9522532,0.00015905687,0.00017877456,0.034590624,0.001325492,0.00013854215,0.0001447803,0.000003952399],"genre_scores_gemma":[0.00664405,0.99233466,0.00005109702,0.000021434458,0.0004133294,0.00041014884,0.00006436715,0.000058507067,0.0000024059816],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964638,0.0002682253,0.0013894489,0.0007558294,0.0005554394,0.00056728895],"domain_scores_gemma":[0.9985859,0.0006495868,0.00026476814,0.000338781,0.000015023125,0.00014593697],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007076607,0.00048670784,0.0010321958,0.0010495716,0.00007363334,0.00011513226,0.0010090404,0.00012897393,0.00007140942],"category_scores_gemma":[0.0021287226,0.00035737018,0.000108109736,0.003623746,0.00011888825,0.0003925262,0.0005389327,0.00025305554,0.000013817187],"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":[0.000010304326,0.00015143113,0.0000021720216,0.013130399,0.000004457469,0.000013948324,0.00024579623,0.0010939831,0.29387072,0.00022650247,0.0001839266,0.6910664],"study_design_scores_gemma":[0.00014851188,0.000086197244,0.0000055910887,0.0046782065,0.000007754902,0.00004188129,0.00000787084,0.0051010177,0.0097268745,0.0000017219246,0.979802,0.00039237636],"about_ca_topic_score_codex":0.000006816066,"about_ca_topic_score_gemma":8.0153904e-7,"teacher_disagreement_score":0.9796181,"about_ca_system_score_codex":0.00015649667,"about_ca_system_score_gemma":0.00012501288,"threshold_uncertainty_score":0.9998878},"labels":[],"label_agreement":null},{"id":"W4309635269","doi":"10.1016/j.cobme.2022.100429","title":"Surface modified NiTi smart biomaterials: Surface engineering and biological compatibility","year":2022,"lang":"en","type":"review","venue":"Current Opinion in Biomedical Engineering","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Biocompatibility; Nickel titanium; Materials science; Coating; Shape-memory alloy; Biocompatible material; Smart material; Elastic modulus; Surface engineering; Compatibility (geochemistry); Surface modification; Tissue engineering; Nanotechnology; Biomedical engineering; Composite material; Metallurgy; Chemical engineering; Engineering","score_opus":0.12857975032867788,"score_gpt":0.3358915766101356,"score_spread":0.2073118262814577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309635269","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042202333,0.9689418,0.0023362706,0.0000069698635,0.021172902,0.0011049933,0.00050267077,0.0017036288,0.000010525569],"genre_scores_gemma":[0.0016951775,0.9948365,0.0012583378,9.2704653e-7,0.0005946317,0.00020545497,0.0011122942,0.00029319376,0.000003445152],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99521947,0.00017662009,0.0019140441,0.0009975884,0.0005577125,0.0011345427],"domain_scores_gemma":[0.99788874,0.0007421474,0.00016165909,0.00069339416,0.00001974766,0.00049432536],"candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0012003031,0.0013104726,0.0029154476,0.0005778333,0.00006859078,0.00014376365,0.00070013147,0.00070477737,0.00032440966],"category_scores_gemma":[0.00030965265,0.0013066446,0.00029908848,0.0011189037,0.00011436945,0.00016965687,0.0005357334,0.0010342756,0.000040642128],"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":[0.000025876798,0.0005237884,0.00003212623,0.27112073,0.00067851716,0.00007094661,0.00041998702,0.3430024,0.0022512155,0.00073127396,0.0021947774,0.37894836],"study_design_scores_gemma":[0.00041019308,0.000049994498,0.000032567863,0.0075175017,0.000053029627,0.000065426386,0.0000055270043,0.08400617,0.000018523033,0.000005063896,0.90656227,0.00127372],"about_ca_topic_score_codex":0.00001898007,"about_ca_topic_score_gemma":1.9030978e-7,"teacher_disagreement_score":0.9043675,"about_ca_system_score_codex":0.000641081,"about_ca_system_score_gemma":0.00007684086,"threshold_uncertainty_score":0.99996465},"labels":[],"label_agreement":null},{"id":"W4313598091","doi":"10.1016/j.cobme.2022.100443","title":"Advances and challenges on hydrogels for wound dressing","year":2023,"lang":"en","type":"review","venue":"Current Opinion in Biomedical Engineering","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Self-healing hydrogels; Wound dressing; Wound healing; Biomedical engineering; Materials science; Medicine; Surgery; Composite material; Polymer chemistry","score_opus":0.2817963809161051,"score_gpt":0.46100482670319537,"score_spread":0.17920844578709028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313598091","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000002997832,0.9943216,0.00017351648,0.00017521331,0.0043227887,0.000809339,0.000039465966,0.00013844104,0.000016632988],"genre_scores_gemma":[0.0000044777294,0.99775606,0.0002624508,0.0000021553399,0.0011369355,0.00038577776,0.00036965855,0.0000696113,0.00001289234],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99842906,0.000018878245,0.0004955727,0.00044547624,0.0002584452,0.00035256892],"domain_scores_gemma":[0.9989955,0.00049109425,0.00009267092,0.00017674264,0.000014656532,0.00022932563],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024784717,0.000339031,0.0011131149,0.0005286696,0.00004122279,0.00001802772,0.00007139866,0.0002589632,0.0000022860813],"category_scores_gemma":[0.00021716219,0.00026000856,0.00016721948,0.00025544927,0.00004777307,0.000033229735,0.000038768663,0.0004107197,0.000016000698],"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":[0.000005272286,0.00009547308,0.0000010787903,0.1584754,0.000047028876,0.000003536425,0.000029656356,0.00000221496,3.1813e-8,0.00019081931,0.000058831054,0.8410907],"study_design_scores_gemma":[0.0006437668,0.00015671813,0.0000063929137,0.13277988,0.00009585427,0.000021512087,0.000007001413,0.00034150897,8.016522e-8,0.000033993238,0.865739,0.00017433053],"about_ca_topic_score_codex":0.0000010199929,"about_ca_topic_score_gemma":1.2378221e-7,"teacher_disagreement_score":0.86568016,"about_ca_system_score_codex":0.00015812319,"about_ca_system_score_gemma":0.0001098818,"threshold_uncertainty_score":0.9999852},"labels":[],"label_agreement":null},{"id":"W4387409042","doi":"10.1016/j.cobme.2023.100508","title":"Biomaterials: Intelligent biomaterials 2023","year":2023,"lang":"en","type":"review","venue":"Current Opinion in Biomedical Engineering","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Nanotechnology; Chemistry; Materials science; Polymer science; Biochemical engineering; Engineering","score_opus":0.12991208554331854,"score_gpt":0.36826492855419707,"score_spread":0.23835284301087853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387409042","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000040758743,0.95626116,0.0025397877,0.000009312576,0.03577521,0.00057620235,0.0003543164,0.0044303737,0.000012867358],"genre_scores_gemma":[0.000026537165,0.9968439,0.00029008766,3.875691e-7,0.0012998664,0.0004493769,0.0008584296,0.00022042195,0.000010991902],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99674433,0.00005624613,0.0014411979,0.0005894353,0.00034839983,0.0008203617],"domain_scores_gemma":[0.9988109,0.00031600997,0.00014349564,0.00053248735,0.000016774042,0.00018032509],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005496848,0.0008248058,0.0017986217,0.001747649,0.000036929407,0.00010875762,0.0008029224,0.0007233378,0.000108607],"category_scores_gemma":[0.00039077003,0.00073316734,0.00032940702,0.0012313463,0.000112630536,0.00007179548,0.00046469943,0.0003569046,0.0010145389],"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":[7.491247e-7,0.000031153195,1.6611816e-7,0.07730577,0.00012486796,0.000008885601,0.000019865081,0.00013325008,0.000029740835,0.00012023666,0.0055658617,0.9166595],"study_design_scores_gemma":[0.00009377993,0.000016898584,0.00000344617,0.04573144,0.0000372436,0.0000136983035,0.0000071597765,0.00093455595,0.00020559343,0.000049878392,0.9522002,0.00070613914],"about_ca_topic_score_codex":0.0000059119093,"about_ca_topic_score_gemma":2.1129784e-7,"teacher_disagreement_score":0.9466343,"about_ca_system_score_codex":0.00031977266,"about_ca_system_score_gemma":0.00004978542,"threshold_uncertainty_score":0.9997633},"labels":[],"label_agreement":null},{"id":"W4404360535","doi":"10.1016/j.cobme.2024.100567","title":"Generalizable and explainable deep learning for medical image computing: An overview","year":2024,"lang":"en","type":"review","venue":"Current Opinion in Biomedical Engineering","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Image (mathematics); Artificial intelligence; Deep learning; Computer vision; Data science","score_opus":0.12411154117453861,"score_gpt":0.42196453021215125,"score_spread":0.29785298903761265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404360535","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[4.676753e-7,0.5877515,0.40707836,0.00006122279,0.0044851927,0.00038328627,0.0000030803408,0.00023195049,0.000004929057],"genre_scores_gemma":[0.0000033752556,0.98429644,0.014085865,0.000009829851,0.0011403826,0.00020719506,0.00016556472,0.000075890595,0.000015430582],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99602526,0.00014869268,0.0011484174,0.0011024661,0.0006953222,0.00087986386],"domain_scores_gemma":[0.9982392,0.00046216612,0.00015547736,0.0004631766,0.00006540424,0.0006145569],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016941117,0.00057626417,0.0012417408,0.0007869146,0.00012617579,0.0004240333,0.0012981982,0.00044406627,0.00002528007],"category_scores_gemma":[0.0007028335,0.00050623575,0.00025482188,0.0013913737,0.00010456839,0.00048256063,0.0008857808,0.0011856504,0.000049488055],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.314943e-7,0.000077399876,3.1526477e-7,0.04666452,0.000024263802,0.000015746908,0.00020022478,0.00023364728,5.7245984e-7,0.02856704,0.00063681765,0.9235788],"study_design_scores_gemma":[0.00006089079,0.00005533017,1.4509828e-7,0.014587531,0.000019876547,0.00003899667,0.000009924729,0.43580008,5.0974e-7,0.00018526404,0.5489425,0.0002989362],"about_ca_topic_score_codex":0.00001561628,"about_ca_topic_score_gemma":9.450429e-7,"teacher_disagreement_score":0.9232799,"about_ca_system_score_codex":0.00022693555,"about_ca_system_score_gemma":0.00030024478,"threshold_uncertainty_score":0.99973893},"labels":[],"label_agreement":null},{"id":"W4408201235","doi":"10.1016/j.cobme.2025.100587","title":"Emerging views of biomechanics via embedded sensors in model tissues: Pathways to the clinic","year":2025,"lang":"en","type":"review","venue":"Current Opinion in Biomedical Engineering","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","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":"McGill University Health Centre; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs","keywords":"Biomechanics; Computer science; Medicine; Physical medicine and rehabilitation; Anatomy","score_opus":0.06573276581707088,"score_gpt":0.3810324121399134,"score_spread":0.3152996463228425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408201235","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000022418673,0.91838574,0.0758726,0.0000336286,0.0049375226,0.00062174164,0.00010003594,0.00001213598,0.000014146428],"genre_scores_gemma":[0.000112298985,0.99822533,0.00042699487,0.000008009727,0.0003215634,0.00017830252,0.0006484964,0.000037362304,0.000041649837],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99786025,0.00007495553,0.0010495228,0.00048098626,0.00020832532,0.00032598377],"domain_scores_gemma":[0.9991212,0.00005976358,0.0001749584,0.0004937943,0.000037526384,0.00011274108],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00051947444,0.00034043717,0.0007846566,0.0005691756,0.000022918239,0.000012104556,0.00038700455,0.00034724895,0.00002124096],"category_scores_gemma":[0.00027513722,0.00027214552,0.00033105226,0.00084306987,0.000017611219,0.000003609014,0.00032847456,0.0004896098,0.000014528573],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006851671,0.00020349164,1.0297701e-7,0.01415933,0.000058946294,0.0000012605487,0.0001223737,0.0011367063,0.0020781825,0.00016207091,0.0021857405,0.9798849],"study_design_scores_gemma":[0.0001392849,0.000056090503,5.1968463e-8,0.011940475,0.000025685906,0.000004715271,0.000016817748,0.07142119,0.00012323438,0.000013023909,0.916019,0.00024040398],"about_ca_topic_score_codex":0.0000034695856,"about_ca_topic_score_gemma":0.0000017026025,"teacher_disagreement_score":0.97964454,"about_ca_system_score_codex":0.00006604934,"about_ca_system_score_gemma":0.00019621177,"threshold_uncertainty_score":0.99997306},"labels":[],"label_agreement":null},{"id":"W4415547515","doi":"10.1016/j.cobme.2025.100629","title":"Engineering the NET-biomaterial interface to treat disease","year":2025,"lang":"en","type":"article","venue":"Current Opinion in Biomedical Engineering","topic":"Neutrophil, Myeloperoxidase and Oxidative Mechanisms","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; National Science Foundation Graduate Research Fellowship Program; Cystic Fibrosis Foundation Therapeutics; Foundation for the National Institutes of Health; Cystic Fibrosis Foundation; National Institutes of Health; National Science Foundation","keywords":"Neutrophil extracellular traps; Drug delivery; Disease; Infectious disease (medical specialty); Drug; Cancer; Function (biology); Drug discovery; Cancer therapy","score_opus":0.014978572679868447,"score_gpt":0.286479070696199,"score_spread":0.2715004980163305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415547515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71472484,0.017784577,0.1811412,0.0069480482,0.07692732,0.001560193,0.0001784048,0.00065132906,0.00008406651],"genre_scores_gemma":[0.9988429,0.00018697807,0.00012886869,0.00006489872,0.00029527408,0.00015890934,0.00012837209,0.00002267636,0.00017114679],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988786,0.00003939125,0.00031397433,0.00031641638,0.000054317155,0.00039731938],"domain_scores_gemma":[0.9995135,0.00010654464,0.00002348555,0.00025786855,0.00001918831,0.00007938791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001721147,0.00022172707,0.00022075357,0.00032218787,0.00005865827,0.000027123426,0.00033772105,0.00009997225,0.00016510708],"category_scores_gemma":[0.00015860006,0.00016349278,0.00006333623,0.0004949147,0.000053424723,0.000053789674,0.00021767564,0.00027398634,0.00015930746],"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":[0.00017197167,0.00020347862,0.00009149238,0.00043985288,0.00005849405,0.000003854575,0.00027026093,0.0016144587,0.9623335,0.008741066,0.009969103,0.016102443],"study_design_scores_gemma":[0.0018346875,0.000100827885,0.003605292,0.0016583902,0.000025609621,0.000006919257,0.00004698333,0.0018082252,0.09936485,0.000068947025,0.8910368,0.0004424607],"about_ca_topic_score_codex":0.000009106222,"about_ca_topic_score_gemma":1.9790713e-7,"teacher_disagreement_score":0.8810677,"about_ca_system_score_codex":0.000091515176,"about_ca_system_score_gemma":0.000044175933,"threshold_uncertainty_score":0.6667042},"labels":[],"label_agreement":null}]}