{"meta":{"query_hash":"05c698fb275c","filters":{"venue":"Series in bioengineering"},"cohort_total":5,"direct_labels_cover":0,"predictions_cover":5,"exported":5,"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/05c698fb275c","api":"https://metacan.xera.ac/api/v1/cohort?venue=Series+in+bioengineering"},"results":[{"id":"W2605940054","doi":"10.1007/978-981-10-4499-1_5","title":"Flow Cytometry in Multi-center and Longitudinal Studies","year":2017,"lang":"en","type":"book-chapter","venue":"Series in bioengineering","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Flow cytometry; Computer science; Reproducibility; Cytometry; Robustness (evolution); Computational biology; Biology; Statistics; Mathematics; Immunology; Genetics","score_opus":0.04923911941472087,"score_gpt":0.2807856052195148,"score_spread":0.23154648580479392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605940054","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":[0.5094376,0.3828439,0.008787245,0.0006438712,0.011866959,0.0028825405,0.000911512,0.00028393857,0.08234239],"genre_scores_gemma":[0.8774792,0.052127823,0.0062878337,0.00006155374,0.0006009661,0.000033726494,0.00022569855,0.00019955945,0.06298362],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990631,0.0000048300203,0.00023952025,0.00038644992,0.0000745557,0.00023157003],"domain_scores_gemma":[0.9995535,0.000006352497,0.000056626515,0.00030755074,0.00003246091,0.00004350384],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009278513,0.00031028927,0.00034747,0.00016104085,0.000042070595,0.000031485597,0.0001642974,0.000312232,0.000004473193],"category_scores_gemma":[0.000042761512,0.0003215409,0.0000646505,0.000013057139,0.00015536373,0.000010126669,0.00015697195,0.00023905041,0.0000020507161],"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":[0.0033240344,0.0013001778,0.33306393,0.014287561,0.0043410854,0.0030280757,0.004808505,0.008342164,0.4912756,0.0073225684,0.0018480116,0.12705828],"study_design_scores_gemma":[0.017382346,0.0020259563,0.028732108,0.0076180487,0.00023801441,0.00058968354,0.00043556976,0.0052072783,0.05506083,0.0011637683,0.8737675,0.0077788997],"about_ca_topic_score_codex":0.000007460829,"about_ca_topic_score_gemma":0.0004334656,"teacher_disagreement_score":0.8719195,"about_ca_system_score_codex":0.000035022626,"about_ca_system_score_gemma":0.000017244483,"threshold_uncertainty_score":0.99992365},"labels":[],"label_agreement":null},{"id":"W2982999757","doi":"10.1007/978-981-13-9097-5_1","title":"Surface Electromyography (EMG) Signal Processing, Classification, and Practical Considerations","year":2019,"lang":"en","type":"book-chapter","venue":"Series in bioengineering","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Electromyography; Computer science; Gesture recognition; Pattern recognition (psychology); Artificial intelligence; SIGNAL (programming language); Dimensionality reduction; Segmentation; Feature extraction; Signal processing; Gesture; Speech recognition; Feature (linguistics); Digital signal processing; Physical medicine and rehabilitation; Computer hardware; Medicine","score_opus":0.020328548333676266,"score_gpt":0.23440384065341477,"score_spread":0.2140752923197385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982999757","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01101156,0.033442095,0.021178171,0.0041217366,0.0015476275,0.003328294,0.00016140398,0.004383434,0.92082566],"genre_scores_gemma":[0.9703054,0.006410456,0.00906908,0.00011689661,0.00021507741,0.000057438432,0.00009167503,0.0002919473,0.01344205],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99867857,0.0000079576985,0.00040518786,0.00035249424,0.00019414195,0.00036165456],"domain_scores_gemma":[0.9994465,0.00010076303,0.00007217487,0.00022017224,0.00008599805,0.000074407886],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009863156,0.00043173245,0.00041578143,0.00037810204,0.00009126991,0.000107582,0.000047565223,0.00028893634,0.00011051521],"category_scores_gemma":[0.00001751961,0.0004893213,0.00007774576,0.00015130964,0.00012267134,0.00035247413,0.000031867068,0.0006293267,0.0000046851933],"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":[0.00007836568,0.00007725862,0.0014645074,0.0033595618,0.0013205573,0.0001298821,0.001580373,0.01621128,0.027987415,0.90884876,0.020280179,0.018661836],"study_design_scores_gemma":[0.002257639,0.00074862334,0.021729512,0.0021622467,0.0004394087,0.0009396523,0.0005993499,0.079064704,0.0044178087,0.03321739,0.8474964,0.0069272625],"about_ca_topic_score_codex":0.0000019492606,"about_ca_topic_score_gemma":0.0000226289,"teacher_disagreement_score":0.95929384,"about_ca_system_score_codex":0.00008154547,"about_ca_system_score_gemma":0.00007204895,"threshold_uncertainty_score":0.99975586},"labels":[],"label_agreement":null},{"id":"W2985584091","doi":"10.1007/978-981-13-9097-5_11","title":"Novel Methodology for Cardiac Arrhythmias Classification Based on Long-Duration ECG Signal Fragments Analysis","year":2019,"lang":"en","type":"book-chapter","venue":"Series in bioengineering","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":28,"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 du Québec à Montréal","funders":"","keywords":"Duration (music); Normal Sinus Rhythm; Rhythm; Computer science; SIGNAL (programming language); Heart Rhythm; Set (abstract data type); Artificial intelligence; Sinus rhythm; Cardiac arrhythmia; Pattern recognition (psychology); Medicine; Data mining; Cardiology; Internal medicine; Atrial fibrillation","score_opus":0.06454040691598538,"score_gpt":0.3046030131143934,"score_spread":0.24006260619840802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985584091","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002584174,0.00052810984,0.98078924,0.0007067569,0.0015422879,0.0011628288,0.00025108817,0.00020427305,0.0122312615],"genre_scores_gemma":[0.44456485,0.00062845723,0.2723232,0.00025978274,0.0034671002,0.00036790522,0.006242043,0.00048142363,0.27166522],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833417,0.000022267888,0.0005415985,0.0005396317,0.0002945029,0.0002678016],"domain_scores_gemma":[0.99875,0.00028206818,0.0002205222,0.0005291579,0.00013810786,0.0000801705],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004918533,0.00037547396,0.000999372,0.00118171,0.000044850727,0.00002524549,0.0000913697,0.00046630815,0.00006097169],"category_scores_gemma":[0.00011097514,0.00037894692,0.00056694367,0.00024585766,0.00003949353,0.000067483044,0.000020312353,0.0003745563,0.000014446217],"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":[0.0033076457,0.00036276024,0.038813215,0.0052948785,0.021471586,0.00013221105,0.00061960344,0.72615784,0.11018558,0.022349682,0.00044284336,0.07086214],"study_design_scores_gemma":[0.0026341933,0.0012844796,0.019053912,0.001811645,0.01061245,0.000013027573,0.00016140692,0.9269782,0.0111569585,0.00023576025,0.024274863,0.0017831443],"about_ca_topic_score_codex":0.000014296019,"about_ca_topic_score_gemma":0.000012847018,"teacher_disagreement_score":0.708466,"about_ca_system_score_codex":0.00033134417,"about_ca_system_score_gemma":0.0000931666,"threshold_uncertainty_score":0.99986625},"labels":[],"label_agreement":null},{"id":"W4409952253","doi":"10.1007/978-981-96-3916-8_6","title":"Nanocellulose-Based Microneedles for Enhanced Topical Drug Delivery","year":2025,"lang":"en","type":"book-chapter","venue":"Series in bioengineering","topic":"Advancements in Transdermal Drug Delivery","field":"Pharmacology, Toxicology and Pharmaceutics","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 New Brunswick","funders":"","keywords":"Nanocellulose; Drug delivery; Materials science; Nanotechnology; Drug; Medicine; Chemistry; Pharmacology; Cellulose; Organic chemistry","score_opus":0.042465939729250606,"score_gpt":0.34241808179441857,"score_spread":0.29995214206516796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409952253","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031196747,0.04997189,0.1525325,0.0044570873,0.03997035,0.012038082,0.005396501,0.0024023969,0.7020345],"genre_scores_gemma":[0.12612976,0.0057066646,0.022324828,0.0027766658,0.0012119185,0.00063390273,0.00087133324,0.00034875577,0.83999616],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980279,0.00003121507,0.00060783094,0.0005580299,0.00014081964,0.0006341647],"domain_scores_gemma":[0.9989304,0.0004364006,0.000113653514,0.00030450206,0.0000949458,0.000120117154],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021370458,0.0005759326,0.00059292594,0.00033910316,0.00012209482,0.000018201097,0.000425374,0.00074215146,0.0005904566],"category_scores_gemma":[0.00003371245,0.00067542656,0.00023334936,0.00006641524,0.00023696822,0.00011796857,0.00010500218,0.0010605712,0.00002953541],"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":[0.008578116,0.0007893412,0.00027939948,0.01573668,0.0029115237,0.00065471855,0.002196773,0.12869069,0.37967485,0.20478423,0.027078645,0.22862503],"study_design_scores_gemma":[0.0017048973,0.00009459754,0.0000057881625,0.00048549782,0.00017433261,0.0000030853953,0.00003547172,0.0028127858,0.20771585,0.0017495827,0.78441745,0.0008006519],"about_ca_topic_score_codex":0.000004883241,"about_ca_topic_score_gemma":0.000043420052,"teacher_disagreement_score":0.7573388,"about_ca_system_score_codex":0.00030475968,"about_ca_system_score_gemma":0.00016099562,"threshold_uncertainty_score":0.9995697},"labels":[],"label_agreement":null},{"id":"W4409952905","doi":"10.1007/978-981-96-3916-8_5","title":"Combining the Electrospun Nanofibers with Microneedle Arrays Enhance Their Efficacy","year":2025,"lang":"en","type":"book-chapter","venue":"Series in bioengineering","topic":"Advancements in Transdermal Drug Delivery","field":"Pharmacology, Toxicology and Pharmaceutics","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 Toronto","funders":"","keywords":"Nanofiber; Materials science; Electrospinning; Nanotechnology; Composite material; Polymer","score_opus":0.029056030192323588,"score_gpt":0.3260825394908627,"score_spread":0.2970265092985391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409952905","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008093534,0.030151341,0.042019553,0.0031571502,0.009467807,0.0048496206,0.00057520054,0.0012797718,0.900406],"genre_scores_gemma":[0.2437912,0.018139284,0.010192608,0.0038067405,0.0009158021,0.00040866912,0.00038735455,0.0006093924,0.72174895],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998135,0.00005176878,0.0004663843,0.0005122822,0.00016512713,0.0006694776],"domain_scores_gemma":[0.9988793,0.0003892089,0.00015001815,0.0004394341,0.00005899129,0.00008303599],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002686416,0.00064768805,0.00053768785,0.00019930348,0.000236777,0.00002908125,0.00061657035,0.00050098094,0.00029332918],"category_scores_gemma":[0.0000136637545,0.0005102917,0.00011971909,0.00014568082,0.00045240138,0.00014194219,0.00013630833,0.002034769,0.0000301763],"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":[0.0076858127,0.00076489366,0.0006150559,0.003642955,0.008698706,0.0011885157,0.017125888,0.2602768,0.24073093,0.30873337,0.01162445,0.13891265],"study_design_scores_gemma":[0.0014430581,0.00026871215,0.00002967274,0.0008099003,0.00022454116,0.000056086108,0.00019416737,0.0009774022,0.106768906,0.00091677095,0.88721657,0.0010941923],"about_ca_topic_score_codex":0.0000048301117,"about_ca_topic_score_gemma":0.00003106286,"teacher_disagreement_score":0.8755922,"about_ca_system_score_codex":0.00021859223,"about_ca_system_score_gemma":0.00011175412,"threshold_uncertainty_score":0.9997349},"labels":[],"label_agreement":null}]}