{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":25,"total_is_capped":false,"direct_labels_cover":1,"predictions_cover":25,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"b1a9718a1da1","filters":{"venue":"Frontiers in Applied Mathematics and Statistics"}},"results":[{"id":"W2964296502","doi":"10.3389/fams.2017.00002","title":"Extract Fetal ECG from Single-Lead Abdominal ECG by De-Shape Short Time Fourier Transform and Nonlocal Median","year":2017,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Waveform; Fourier transform; Short-time Fourier transform; Computer science; Artificial intelligence; Pattern recognition (psychology); Fetal heart rate; Noise (video); Algorithm; Mathematics; Fourier analysis; Medicine; Heart rate; Internal medicine; Image (mathematics); Telecommunications","authors":[{"name":"Li Su","is_ca":false},{"name":"Hau‐Tieng Wu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01277799565587363,"gpt":0.2527940814017535,"spread":0.2400160857458798,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007624642,0.0007434379,0.0009667465,0.001729899,0.0002735354,0.0007866473,0.0007940449,0.0009528765,0.001333371],"category_scores_gemma":[0.002840709,0.000297148,0.0008620958,0.001366301,0.0003232937,0.001046819,0.0007978589,0.0007512161,0.001052195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002579754,"about_ca_system_score_gemma":0.0005820509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009126637,"about_ca_topic_score_gemma":0.001258686,"domain_scores_codex":[0.9994588,0.00007193587,0.00006497731,0.000167382,0.0002065622,0.00003027171],"domain_scores_gemma":[0.9994001,0.0002455867,0.00009597798,0.0001012231,0.000129954,0.00002698538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003236506,0.00009870606,0.002310831,0.000188297,0.00008316736,0.0002458175,0.0001122072,0.03982311,0.05974876,0.003850973,0.002057518,0.891157],"study_design_scores_gemma":[0.00004600818,0.0001748647,0.005844759,0.00002564734,0.00005892431,0.001041644,0.00009232863,0.9265732,0.05117939,0.007566003,0.007349552,0.00004765042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009016551,0.0002087562,0.9899535,0.00006536493,0.00002273414,0.00002679615,0.00008808153,0.0004046822,0.0002136966],"genre_scores_gemma":[0.08269678,0.0004913967,0.9140702,0.00006405864,0.00007492279,0.00008578586,0.0008948013,0.0001053219,0.001516751],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001729899,"threshold_uncertainty_score":0.004460633,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W2908276952","doi":"10.3389/fams.2018.00064","title":"Continuous Predictors of Pretest-Posttest Change: Highlighting the Impact of the Regression Artifact","year":2019,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"Mental Health Research Topics","field":"Psychology","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Laurentian University; York University","funders":"","keywords":"Regression analysis; Covariate; Regression toward the mean; Regression; Psychology; Statistics; Linear regression; Baseline (sea); Econometrics; Clinical psychology; Mathematics","authors":[{"name":"Linda Farmus","is_ca":true},{"name":"Chantal A. Arpin‐Cribbie","is_ca":true},{"name":"Robert A. Cribbie","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03079845211550845,"gpt":0.3476965278225722,"spread":0.3168980757070637,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2402901,0.001290657,0.00151594,0.002976163,0.001129043,0.003500723,0.00286127,0.002040881,0.004216024],"category_scores_gemma":[0.5722362,0.0007923171,0.004494085,0.004871805,0.003653993,0.003802832,0.003707882,0.004939717,0.0008525833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002030884,"about_ca_system_score_gemma":0.003835179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01035011,"about_ca_topic_score_gemma":0.01320997,"domain_scores_codex":[0.781683,0.1797205,0.009868581,0.01013749,0.01747271,0.001117798],"domain_scores_gemma":[0.2461915,0.6877689,0.01992918,0.03039016,0.01521953,0.0005007262],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002536302,0.0005396194,0.4349932,0.007643774,0.006092267,0.001686102,0.02398669,0.01180979,0.002724225,0.0742599,0.01820742,0.4155208],"study_design_scores_gemma":[0.0005295086,0.004729303,0.6301106,0.008900796,0.005726548,0.003121149,0.0104709,0.1187221,0.01321551,0.126218,0.0775964,0.0006591814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.186803,0.01507774,0.7635745,0.0137262,0.002103943,0.001886959,0.001861729,0.001873275,0.01309262],"genre_scores_gemma":[0.824752,0.00156615,0.1652106,0.002327118,0.0003887212,0.001919353,0.000553176,0.0007474694,0.002535447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7597099,"threshold_uncertainty_score":0.9368576,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3037447448","doi":"10.3389/fams.2022.818799","title":"On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems Tools","year":2022,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données; Fonds de recherche du Québec – Nature et technologies; University of Washington; Canadian Institute for Advanced Research; Netherlands eScience Center; Washington Research Foundation; National Science Foundation","keywords":"Recurrent neural network; Computer science; Dynamical systems theory; Attractor; Lyapunov exponent; Lyapunov function; Initialization; Hyperparameter; Leverage (statistics); Artificial intelligence; Mathematics; Artificial neural network; Chaotic; Nonlinear system","authors":[{"name":"Ryan Vogt","is_ca":false},{"name":"Maximilian Puelma Touzel","is_ca":true},{"name":"Eli Shlizerman","is_ca":false},{"name":"Guillaume Lajoie","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06218042407756191,"gpt":0.2571484869486104,"spread":0.1949680628710485,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001781235,0.001232731,0.0006612385,0.001840579,0.0004350962,0.001575867,0.0008655966,0.0008877242,0.00278541],"category_scores_gemma":[0.01082075,0.0004741369,0.0008361257,0.0006532883,0.001564597,0.003148636,0.001414525,0.002042866,0.0005764109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008394279,"about_ca_system_score_gemma":0.0005453229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002183327,"about_ca_topic_score_gemma":0.001574387,"domain_scores_codex":[0.9995387,0.0001796383,0.00004472455,0.00008430727,0.0001153679,0.00003733792],"domain_scores_gemma":[0.9965715,0.0025071,0.0003140875,0.0001819318,0.000329369,0.00009604593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002362061,0.00002175352,0.001316394,0.0001494357,0.00003824863,0.0001723099,0.0003288279,0.4534099,0.003381023,0.5166711,0.001141968,0.02334529],"study_design_scores_gemma":[0.000002913496,0.00001298403,0.0001772162,0.00003048594,0.000003988092,0.00001802048,0.00001963891,0.7966508,0.0003506089,0.2018426,0.0008800649,0.00001081294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01269118,0.0009273404,0.9832051,0.0003764871,0.00005472547,0.00002557513,0.00008601599,0.0001283339,0.002505263],"genre_scores_gemma":[0.7194531,0.005032324,0.2670829,0.0003562493,0.0005694922,0.0004157547,0.0004268188,0.0004289947,0.006234338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00278541,"threshold_uncertainty_score":0.009420216,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4361271262","doi":"10.3389/fams.2023.1126952","title":"Statistical and clustering analysis of microseismicity from a Saskatchewan potash mine","year":2023,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Potash; Cluster analysis; Magnitude (astronomy); Pareto distribution; Scaling; Rock mass classification; Pareto principle; Geology; Mining engineering; Statistics; Mathematics; Geotechnical engineering; Physics","authors":[{"name":"Mohammadamin Sedghizadeh","is_ca":true},{"name":"Matthew van den Berghe","is_ca":false},{"name":"R. Shcherbakov","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0118266013618667,"gpt":0.2172958237881278,"spread":0.2054692224262611,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003472584,0.0002656279,0.000239124,0.001750858,0.0006502349,0.0005440826,0.0005111716,0.000341068,0.0007753785],"category_scores_gemma":[0.00130789,0.0001656978,0.0002616033,0.002833531,0.0004057122,0.0001745821,0.0005176407,0.0002661737,0.0001899902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002769589,"about_ca_system_score_gemma":0.002580196,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6406361,"about_ca_topic_score_gemma":0.7768945,"domain_scores_codex":[0.9997814,0.00002625269,0.00001722744,0.00006120557,0.00007114442,0.00004273759],"domain_scores_gemma":[0.9986896,0.0002463557,0.0001426089,0.0001137731,0.0007103396,0.00009728845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002652962,0.0001150627,0.7831755,0.00009986232,0.0001942578,0.00136408,0.001342665,0.1464759,0.02237788,0.001969549,0.002345817,0.04027422],"study_design_scores_gemma":[0.000008549573,0.00002905808,0.8628015,0.00001261905,0.00002748649,0.00009856498,0.001257126,0.132176,0.0019886,0.0003858905,0.001169158,0.00004547016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962715,0.00001747891,0.002018891,0.00003372115,0.00000182423,0.00001970878,0.0008392422,0.00002754987,0.0007701312],"genre_scores_gemma":[0.9955031,0.00003318439,0.001656516,0.000009607109,0.000001563062,0.00001481267,0.00197818,0.000007696241,0.0007953287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6406361,"threshold_uncertainty_score":0.7229604,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3166149319","doi":"10.3389/fams.2021.697904","title":"Coherence Resonance in Random Erdös-Rényi Neural Networks: Mean-Field Theory","year":2021,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"stochastic dynamics and bifurcation","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Krembil Foundation; University Health Network","funders":"","keywords":"Coherence (philosophical gambling strategy); Statistical physics; Stochastic resonance; Physics; Mean field theory; Gaussian noise; Network dynamics; Noise (video); Mathematics; Computer science; Quantum mechanics; Algorithm; Artificial intelligence; Discrete mathematics","authors":[{"name":"Axel Hutt","is_ca":false},{"name":"Thomas Wahl","is_ca":false},{"name":"Nicole Voges","is_ca":false},{"name":"Jo Hausmann","is_ca":false},{"name":"Jérémie Lefebvre","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005627027976786434,"gpt":0.2181622214508703,"spread":0.2125351934740838,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001225907,0.0004298823,0.0005164613,0.0009149823,0.0002981895,0.0008131686,0.0006848149,0.0007863891,0.0009468879],"category_scores_gemma":[0.003565932,0.000255211,0.0004672641,0.0005260234,0.00140398,0.001504249,0.0006970712,0.0006368264,0.000102214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008938331,"about_ca_system_score_gemma":0.00037688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001324696,"about_ca_topic_score_gemma":0.001045353,"domain_scores_codex":[0.9996855,0.0001435867,0.00001239781,0.00004853555,0.00007306492,0.00003687491],"domain_scores_gemma":[0.9985833,0.0009198861,0.000245893,0.00006263998,0.0001240487,0.00006415976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004924616,0.0000316234,0.0009513069,0.00006954392,0.00004134732,0.0001293297,0.0001411701,0.5034003,0.005437674,0.4839071,0.0004322446,0.005409172],"study_design_scores_gemma":[0.00000574632,0.00001514661,0.0002352609,0.000006453156,0.000004996142,0.00002330253,0.00001532194,0.8935826,0.0003022319,0.1056241,0.0001758413,0.000008946607],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2311046,0.0009751291,0.7605504,0.0006359409,0.00003687333,0.00003897112,0.0001048782,0.0001323918,0.006420847],"genre_scores_gemma":[0.9809687,0.0005722477,0.01614109,0.00007817614,0.00003556487,0.00006195434,0.00004956479,0.00002670006,0.002065975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001324696,"threshold_uncertainty_score":0.006485224,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2766404600","doi":"10.3389/fams.2017.00020","title":"A Robust and Efficient Numerical Method for RNA-Mediated Viral Dynamics","year":2017,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"Hepatitis C virus research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; Fonds de Recherche du Québec-Société et Culture; Azrieli Foundation; Ben-Gurion University of the Negev; National Institutes of Health; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Hepatitis C virus; Computer science; Interface (matter); Dynamics (music); Variety (cybernetics); Mechanism (biology); RNA; Virology; Computational biology; Virus; Artificial intelligence; Biology; Physics; Genetics","authors":[{"name":"Vladimir Reinharz","is_ca":false},{"name":"Alexander Churkin","is_ca":false},{"name":"Harel Dahari","is_ca":false},{"name":"Danny Barash","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0309601171717048,"gpt":0.3285770106303443,"spread":0.2976168934586395,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00131138,0.0006230007,0.0007538555,0.0005097727,0.0004204944,0.0005660081,0.001385232,0.001318539,0.002997629],"category_scores_gemma":[0.003874362,0.0003031623,0.0009385393,0.0004822292,0.0008267683,0.0007328755,0.001273843,0.001612863,0.001132509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004400245,"about_ca_system_score_gemma":0.001286014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001979123,"about_ca_topic_score_gemma":0.001797998,"domain_scores_codex":[0.9994289,0.0002156385,0.00002873889,0.00005708188,0.0002411743,0.00002846715],"domain_scores_gemma":[0.9989329,0.0005442533,0.0001298676,0.0001095187,0.000227178,0.00005618262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009414534,0.00008353974,0.0005692546,0.0002793538,0.00007847697,0.0001958241,0.0001138793,0.6955515,0.03360815,0.165271,0.004300602,0.0998543],"study_design_scores_gemma":[0.00001237355,0.00002220181,0.0000473064,0.000008174837,0.000005473982,0.00002971599,0.000002637268,0.9881001,0.00110265,0.007236004,0.003421644,0.00001171608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009291121,0.00007797944,0.9981603,0.00006336637,0.00004256989,0.00002113684,0.00002621764,0.0001514826,0.0005277799],"genre_scores_gemma":[0.04476992,0.0002178252,0.9513095,0.0001034694,0.00007343097,0.0002725964,0.00009841587,0.0002700165,0.002884785],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002997629,"threshold_uncertainty_score":0.01002812,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4362672012","doi":"10.3389/fams.2023.1064130","title":"Modeling and numerical analysis for mechanical characterization of soft tissue mechanism applying inverse finite element technique","year":2023,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Finite element method; MATLAB; Materials science; Indentation; Inverse problem; Poisson's ratio; Numerical analysis; Inverse; Elasticity (physics); Biomedical engineering; Computer science; Structural engineering; Mechanical engineering; Poisson distribution; Mathematics; Composite material; Mathematical analysis; Engineering; Geometry","authors":[{"name":"Md. Mansur ul Mulk","is_ca":true},{"name":"Kazi Nusrat Islam","is_ca":false},{"name":"Md. Haider Ali Biswas","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01520468045755401,"gpt":0.2278483520187654,"spread":0.2126436715612114,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005304524,0.0003684827,0.0003913021,0.0004394819,0.0002603368,0.0005014557,0.0006667341,0.000763062,0.002178548],"category_scores_gemma":[0.001106397,0.0002966597,0.0004889586,0.0002558915,0.0003996908,0.0004329712,0.0004038569,0.0005567608,0.0005971572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002642474,"about_ca_system_score_gemma":0.0006683309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001654348,"about_ca_topic_score_gemma":0.001605893,"domain_scores_codex":[0.9997881,0.0000405044,0.0000148369,0.00003215719,0.0001114368,0.00001302319],"domain_scores_gemma":[0.999639,0.000178894,0.00004374009,0.00004852478,0.00008206557,0.000007643865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002734075,0.00004794764,0.0008153536,0.0001531356,0.00001723423,0.0001010483,0.0001372923,0.8922708,0.04455833,0.01892622,0.0005796904,0.04236553],"study_design_scores_gemma":[0.00000149669,0.000008976031,0.0001321177,0.000005204718,0.000002309877,0.00002795731,0.000006933454,0.9950664,0.002526225,0.0009095269,0.001308954,0.000003808779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005983188,0.00005767265,0.9917549,0.0000398621,0.000008708023,0.00002960837,0.00003232771,0.000203517,0.001890266],"genre_scores_gemma":[0.2937942,0.0003026058,0.7006298,0.00005220042,0.00001491709,0.0004243095,0.0001825515,0.0001393107,0.004460119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002178548,"threshold_uncertainty_score":0.007287979,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385318392","doi":"10.3389/fams.2023.1128181","title":"A machine learning framework for neighbor generation in metaheuristic search","year":2023,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"Polytechnique Montréal","keywords":"Metaheuristic; Tabu search; Computer science; Mathematical optimization; Guided Local Search; Artificial intelligence; Heuristic; Local search (optimization); Machine learning; Hyper-heuristic; Mathematics","authors":[{"name":"Defeng Liu","is_ca":true},{"name":"Vincent Perreault","is_ca":true},{"name":"Alain Hertz","is_ca":true},{"name":"Andrea Lodi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03015143558219119,"gpt":0.2872485458323792,"spread":0.2570971102501881,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002844385,0.001110247,0.001606768,0.001453365,0.0007811892,0.001333296,0.003027054,0.001769845,0.002471355],"category_scores_gemma":[0.005833202,0.0005556314,0.00140653,0.00176051,0.001581218,0.001347801,0.001497325,0.002380053,0.0005866172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001456013,"about_ca_system_score_gemma":0.001277002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002531527,"about_ca_topic_score_gemma":0.002504845,"domain_scores_codex":[0.9985188,0.0007799484,0.00007778317,0.0001882691,0.0003581006,0.0000773005],"domain_scores_gemma":[0.9979711,0.001314351,0.0002003848,0.0001968994,0.0002694156,0.00004786358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002059834,0.00005469968,0.0003233037,0.0001282023,0.00006832109,0.00004461755,0.00007318942,0.8146803,0.0007393995,0.1246682,0.001043731,0.05815534],"study_design_scores_gemma":[0.000009890296,0.00002077456,0.00003835685,0.00001576501,0.000007225035,0.000017592,0.000006998765,0.9664964,0.0002190199,0.03147866,0.001682433,0.000006852899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007840138,0.0001633283,0.997908,0.00007896419,0.00002161398,0.00003973194,0.00001279237,0.00007847293,0.0009130833],"genre_scores_gemma":[0.1087706,0.0004566916,0.8877367,0.0002490821,0.0001423616,0.0007175216,0.0001131008,0.0001246894,0.001689103],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003027054,"threshold_uncertainty_score":0.01504266,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3154729970","doi":"10.3389/fams.2021.624456","title":"Tracking Rhythms Coherence From Polysomnographic Records: A Time-Frequency Approach","year":2021,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Center for Research Resources; National Institute of General Medical Sciences; Centre National de la Recherche Scientifique; Agence Nationale de la Recherche; National Institutes of Health; Case Western Reserve University; National Institute of Biomedical Imaging and Bioengineering; Université de Bordeaux; University of Washington; York University; Johns Hopkins University; National Heart, Lung, and Blood Institute; University of California, Davis; University of Minnesota","keywords":"Rhythm; Coherence (philosophical gambling strategy); Obstructive sleep apnea; Polysomnography; Electroencephalography; Computer science; Wavelet; Speech recognition; Pattern recognition (psychology); Artificial intelligence; Neuroscience; Psychology; Medicine; Acoustics; Physics; Mathematics; Cardiology; Statistics","authors":[{"name":"Alexandre Guillet","is_ca":false},{"name":"A. Arnéodo","is_ca":false},{"name":"Françoise Argoul","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0221210955176389,"gpt":0.2387265408430101,"spread":0.2166054453253712,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004616212,0.0006961311,0.0003601335,0.003986306,0.0002474126,0.0006645356,0.0003263468,0.0005042737,0.000965825],"category_scores_gemma":[0.001591279,0.0002242388,0.0006111728,0.002992586,0.0002572283,0.00062895,0.0004928831,0.0003399832,0.0004409798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001848774,"about_ca_system_score_gemma":0.0003481815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002400099,"about_ca_topic_score_gemma":0.002206153,"domain_scores_codex":[0.9997104,0.00004808359,0.00002970186,0.00008636025,0.00009077655,0.00003468276],"domain_scores_gemma":[0.9996169,0.0001483612,0.00008329329,0.00003860487,0.00009100277,0.00002182317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000420282,0.0002945261,0.01932989,0.0004166556,0.0002883849,0.0008490683,0.0004832335,0.07948373,0.1350562,0.006668228,0.002711148,0.7539988],"study_design_scores_gemma":[0.00002957167,0.0003208017,0.07392189,0.00006194584,0.0002406592,0.000780209,0.0003875618,0.8987336,0.01347447,0.005506929,0.006472535,0.0000699005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1469893,0.001134626,0.8488407,0.0001773969,0.00007424918,0.0001282096,0.0006639607,0.0005103642,0.001481042],"genre_scores_gemma":[0.6223115,0.002009368,0.3712866,0.00006731589,0.0002751289,0.0002376537,0.001813167,0.0001540265,0.001845047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003986306,"threshold_uncertainty_score":0.004772246,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4319747656","doi":"10.3389/fams.2023.1110497","title":"Symmetry-breaking bifurcations for compartmental reaction kinetics coupled by two bulk diffusing species with comparable diffusivities in 2-D","year":2023,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Steady state (chemistry); Reaction–diffusion system; Symmetry breaking; Diffusion; Ode; Eigenvalues and eigenvectors; Nonlinear system; Chemistry; Physics; Thermodynamics; Mathematical analysis; Mathematics; Quantum mechanics","authors":[{"name":"Merlin Pelz","is_ca":true},{"name":"Michael J. Ward","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01452474986837469,"gpt":0.2422122307301892,"spread":0.2276874808618145,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003949441,0.0004717004,0.0005297887,0.0005239834,0.0003836457,0.0009043412,0.0004803021,0.0009933008,0.001668136],"category_scores_gemma":[0.001135043,0.0003430854,0.001174812,0.00020775,0.000806832,0.0007239987,0.001050785,0.0006035696,0.0002408958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009652978,"about_ca_system_score_gemma":0.0005026868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003713784,"about_ca_topic_score_gemma":0.001547018,"domain_scores_codex":[0.9998522,0.00004209961,0.000009760641,0.00003251838,0.00003339345,0.00002998712],"domain_scores_gemma":[0.9996145,0.0001768455,0.0001033066,0.00002246134,0.00004432911,0.00003848891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001052726,0.00005902177,0.001390512,0.00008888238,0.00005516044,0.0003695445,0.0002798844,0.7956585,0.05355596,0.1440773,0.0003781706,0.003981746],"study_design_scores_gemma":[0.000008663997,0.00001073381,0.0001183112,0.000003008004,0.000004034635,0.00001960225,0.00001644622,0.9883313,0.0009702883,0.01036804,0.0001418561,0.000007667717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5104438,0.0004322569,0.4766347,0.0004658153,0.0000621883,0.00006958373,0.0001409434,0.0002421393,0.01150847],"genre_scores_gemma":[0.9807783,0.0001815735,0.01471345,0.00005561266,0.00001239294,0.0000836931,0.00005756434,0.00003131083,0.004086067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003713784,"threshold_uncertainty_score":0.00738436,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4308416311","doi":"10.3389/fams.2022.963991","title":"Prey fear of a specialist predator in a tri-trophic food web can eliminate the superpredator","year":2022,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Intraguild predation; Predation; Predator; Food web; Trophic level; Generalist and specialist species; Uniqueness; Ecology; Biology; Psychology; Social psychology","authors":[{"name":"Nabaa Hassain Fakhry","is_ca":false},{"name":"Raid Kamel Naji","is_ca":false},{"name":"Robert J. Smith","is_ca":true},{"name":"Mainul Haque","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01537537016049542,"gpt":0.2436463370219032,"spread":0.2282709668614078,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002807953,0.0002308597,0.0003986172,0.000214286,0.0002895278,0.0003988823,0.0004452066,0.0006209213,0.001179786],"category_scores_gemma":[0.0005838992,0.0001760715,0.0004042778,0.00009667209,0.0005022397,0.000544144,0.0006813019,0.0003797922,0.000167334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002094673,"about_ca_system_score_gemma":0.0002459079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008513968,"about_ca_topic_score_gemma":0.001056621,"domain_scores_codex":[0.999916,0.00002068447,0.000004951715,0.00002028924,0.00001702635,0.00002103095],"domain_scores_gemma":[0.9997124,0.00007276564,0.00009003302,0.00002616809,0.00003133679,0.00006734781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007182134,0.0003144505,0.07138149,0.0005852224,0.000551315,0.008190309,0.001170149,0.1885516,0.5090501,0.15634,0.002847188,0.06030009],"study_design_scores_gemma":[0.00006783935,0.0007332193,0.03568136,0.00006097712,0.0002320757,0.005145151,0.0007655921,0.8554412,0.01317769,0.08589922,0.002709243,0.00008650378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9404138,0.0001902826,0.05316142,0.0004698224,0.00002040924,0.00000922209,0.00002135912,0.00004073038,0.005672884],"genre_scores_gemma":[0.9965544,0.00005679878,0.002620251,0.00007073431,0.0000049265,0.000005233779,0.00000595075,0.00000265398,0.0006792245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001179786,"threshold_uncertainty_score":0.003946781,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389979826","doi":"10.3389/fams.2023.1294540","title":"Mathematical model of physicochemical regulation of precipitation of bone hydroxyapatite","year":2023,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University Health Centre; McGill University; Shriners Hospitals for Children - Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Supersaturation; Mineralization (soil science); Chemistry; Calcium; Phosphate; Precipitation; Aqueous solution; Biomineralization; Ionic strength; Mineralogy; Chemical engineering; Inorganic chemistry; Biochemistry; Nitrogen","authors":[{"name":"Hossein Poorhemati","is_ca":true},{"name":"Svetlana V. Komarova","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02392094226034391,"gpt":0.2986888020400443,"spread":0.2747678597797004,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004762316,0.0009468198,0.001000211,0.000778304,0.0006423974,0.001281942,0.001690639,0.002381442,0.003176454],"category_scores_gemma":[0.001756087,0.0005600151,0.001356074,0.0006024785,0.00105216,0.00103189,0.0008481826,0.0009887927,0.0004922764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001748673,"about_ca_system_score_gemma":0.001579575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01647964,"about_ca_topic_score_gemma":0.004313522,"domain_scores_codex":[0.9996761,0.00007955106,0.00001973565,0.00007401712,0.00008394625,0.00006669051],"domain_scores_gemma":[0.999238,0.0003530508,0.0001444709,0.00002645541,0.0001903199,0.00004760933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002029276,0.00002528724,0.0005392798,0.00005881545,0.00001712883,0.00008658637,0.0000366304,0.9789708,0.003004843,0.01603849,0.0003311016,0.0008707739],"study_design_scores_gemma":[0.00001239523,0.000009231265,0.0001198341,0.000004205362,0.0000060113,0.00001583132,0.00000920563,0.9971966,0.0002419443,0.001999241,0.0003798313,0.000005632115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2963129,0.002811162,0.6240054,0.003372392,0.0005382015,0.0003595271,0.002642739,0.0006137987,0.06934393],"genre_scores_gemma":[0.9481763,0.001217158,0.02397284,0.0003570334,0.0001004883,0.0007492366,0.0006809468,0.00009548238,0.02465055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01647964,"threshold_uncertainty_score":0.03276742,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403745868","doi":"10.3389/fams.2024.1362200","title":"Risk assessment in lithium-ion battery circular economy in sustainable supply chain in automotive industry using gray degree of possibility in game theory and MCDM","year":2024,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Gray (unit); Automotive industry; Supply chain; Multiple-criteria decision analysis; Battery pack; Battery (electricity); Automotive engineering; Computer science; Manufacturing engineering; Business; Mathematics; Mathematical optimization; Engineering; Marketing; Medicine; Physics","authors":[{"name":"Mohsen Alizadeh Afroozi","is_ca":false},{"name":"Mohammad Gramifar","is_ca":true},{"name":"Babak Hazratifar","is_ca":false},{"name":"Samira Jowkar","is_ca":false},{"name":"Seyed Behnam Razavian","is_ca":false},{"name":"Mohammad Mahdi Keshvari","is_ca":false},{"name":"Seyed Amin Tabatabaei","is_ca":false},{"name":"Noushin Sazegar","is_ca":false},{"name":"Ehsan Zohreh Bojnourdi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01004120602209947,"gpt":0.2529216518386454,"spread":0.2428804458165459,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003161688,0.0007093439,0.0005667495,0.002076967,0.0006344589,0.002061197,0.0009110542,0.0009440167,0.001560816],"category_scores_gemma":[0.006376908,0.00039051,0.001183752,0.001080854,0.001548098,0.002076196,0.002028877,0.0007519359,0.00004839836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002964027,"about_ca_system_score_gemma":0.001509896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008502864,"about_ca_topic_score_gemma":0.006381311,"domain_scores_codex":[0.9980457,0.001090956,0.00006576891,0.000200513,0.0003523119,0.0002447614],"domain_scores_gemma":[0.9970251,0.002188666,0.0003164063,0.00007748474,0.0002610274,0.000131369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008828417,0.00004413815,0.006515126,0.0001076058,0.00008461131,0.0002945408,0.0003102555,0.9109992,0.001030224,0.07010535,0.0002453964,0.0101754],"study_design_scores_gemma":[0.000007779212,0.00004701722,0.001114756,0.00002251904,0.00002659718,0.00005405954,0.0002706942,0.9642067,0.0005464391,0.03332722,0.0003555983,0.00002065577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3369614,0.000344966,0.6528278,0.0005131568,0.00002648592,0.0001754635,0.00009226966,0.00004918341,0.009009331],"genre_scores_gemma":[0.9842274,0.0001026303,0.01498199,0.00001944313,0.000002936398,0.00003911678,0.00001746367,0.000003508558,0.0006055554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008502864,"threshold_uncertainty_score":0.02150559,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4383198643","doi":"10.3389/fams.2023.1152476","title":"How many strong earthquakes will there be tomorrow?","year":2023,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Istituto Nazionale di Geofisica e Vulcanologia","keywords":"Poisson distribution; Negative binomial distribution; Akaike information criterion; Binomial distribution; Count data; Beta-binomial distribution; Statistics; Poisson binomial distribution; Mathematics; Distribution (mathematics); Quasi-likelihood; Moment tensor; Compound Poisson distribution; Poisson regression; Magnitude (astronomy); Physics; Mathematical analysis","authors":[{"name":"Matteo Taroni","is_ca":false},{"name":"Ilaria Spassiani","is_ca":false},{"name":"Nick Laskin","is_ca":true},{"name":"Simone Barani","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01871648206608627,"gpt":0.2145868767586522,"spread":0.1958703946925659,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001201031,0.0002094329,0.0003722567,0.001037153,0.0003710261,0.001166945,0.0004428244,0.0005487886,0.003357817],"category_scores_gemma":[0.009523699,0.0001317488,0.0002150798,0.00121136,0.0005887765,0.00150201,0.0003257245,0.0005115792,0.0008220945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005807523,"about_ca_system_score_gemma":0.0002936205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008914619,"about_ca_topic_score_gemma":0.01164356,"domain_scores_codex":[0.999738,0.00004745121,0.00001732638,0.0001111353,0.000038023,0.00004806686],"domain_scores_gemma":[0.997024,0.001521856,0.0008693974,0.0001365322,0.0002339921,0.0002141527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002838363,0.00004695668,0.8603773,0.000157713,0.0002312962,0.0004387408,0.0008092275,0.008139823,0.0007627577,0.0136377,0.01041948,0.1046952],"study_design_scores_gemma":[0.00002385205,0.0001407611,0.905046,0.00009079323,0.0001599947,0.001093488,0.004605504,0.04123274,0.001170903,0.03080278,0.01556372,0.00006944722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647955,0.004158571,0.0152821,0.005402057,0.0002060097,0.00002433562,0.003066185,0.00007316824,0.006992021],"genre_scores_gemma":[0.995137,0.001184205,0.000995633,0.0001496024,0.0001384634,0.000008221616,0.001057857,0.0000147455,0.001314272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008914619,"threshold_uncertainty_score":0.01772547,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1519521172","doi":"10.3389/fams.2015.00003","title":"On macrohedging problem in semimartingale markets","year":2015,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Semimartingale; Portfolio; Quadratic variation; Quadratic equation; Set (abstract data type); Econometrics; Economics; Mathematical economics; Mathematics; Actuarial science; Mathematical optimization; Financial economics; Computer science; Applied mathematics; Statistics; Brownian motion","authors":[{"name":"Mohamed Abdelghani","is_ca":true},{"name":"Alexander Melnikov","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01998691952151253,"gpt":0.2170587273279357,"spread":0.1970718078064232,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004700308,0.0009159676,0.001618409,0.001192729,0.0006796615,0.001945381,0.001185849,0.001802985,0.003248912],"category_scores_gemma":[0.01005879,0.0006002937,0.001072116,0.001064239,0.001951982,0.002974508,0.001447214,0.001843445,0.0002172687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009219333,"about_ca_system_score_gemma":0.001070097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001420714,"about_ca_topic_score_gemma":0.0007743491,"domain_scores_codex":[0.9992354,0.000392056,0.00003593167,0.0001273299,0.0001381833,0.00007109532],"domain_scores_gemma":[0.9958055,0.003180603,0.0003354744,0.0001640904,0.0002864842,0.0002278543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001258438,0.00009306763,0.001419778,0.000323902,0.00008661993,0.0003622108,0.0001765157,0.4322356,0.002547954,0.540026,0.001763618,0.02083893],"study_design_scores_gemma":[0.00002556823,0.00005044073,0.0003936423,0.0000339758,0.0000145821,0.00006217245,0.00002461912,0.7533767,0.0004727876,0.244809,0.0007154358,0.00002094864],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08412163,0.003253967,0.9058636,0.001315153,0.0000992264,0.00005230954,0.0001349648,0.0001129925,0.005046188],"genre_scores_gemma":[0.8698093,0.003717874,0.1169185,0.000314072,0.0003488227,0.0002016708,0.0003031237,0.0001747862,0.008211841],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004700308,"threshold_uncertainty_score":0.02485788,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4380684614","doi":"10.3389/fams.2023.1126511","title":"Testing the forecasting skills of aftershock models using a Bayesian framework","year":2023,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aftershock; Markov chain Monte Carlo; Bayesian probability; Statistics; Statistical hypothesis testing; Bayesian inference; Econometrics; Markov chain; Computer science; Mathematics; Geology; Seismology","authors":[{"name":"Elisa Dong","is_ca":true},{"name":"R. Shcherbakov","is_ca":true},{"name":"Katsuichiro Goda","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04529279953527786,"gpt":0.2366823943466374,"spread":0.1913895948113595,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01431629,0.0007392467,0.0007623294,0.001705636,0.0004002034,0.001162144,0.001146154,0.001066907,0.001182478],"category_scores_gemma":[0.04509817,0.0004371404,0.0008484841,0.0008431664,0.0005774419,0.002595402,0.0010992,0.001116982,0.0001854371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008450545,"about_ca_system_score_gemma":0.001730024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0159387,"about_ca_topic_score_gemma":0.01113843,"domain_scores_codex":[0.9973405,0.001614803,0.0001372391,0.0003658244,0.000363477,0.0001782257],"domain_scores_gemma":[0.9556789,0.03854055,0.002207476,0.00157299,0.001367903,0.0006322834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004867055,0.0003018016,0.07314844,0.00008351639,0.000294236,0.00009540127,0.0002677417,0.8615403,0.001172152,0.008808262,0.0007529304,0.05304869],"study_design_scores_gemma":[0.00001897005,0.000079278,0.005646379,0.000008262855,0.00001689094,0.000008956526,0.00004938569,0.9913391,0.0002896682,0.002448354,0.00008343271,0.00001128828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9334691,0.0001799727,0.06383485,0.0003355667,0.00001825423,0.00005209548,0.0002297969,0.0001681701,0.00171223],"genre_scores_gemma":[0.9895369,0.00008166213,0.009798895,0.00002521222,0.00001702492,0.00002156334,0.0003424398,0.00001198943,0.0001644398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0159387,"threshold_uncertainty_score":0.07571268,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4382654673","doi":"10.3389/fams.2023.1207643","title":"Fusing time-varying mosquito data and continuous mosquito population dynamics models","year":2023,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Los Alamos National Laboratory; Laboratory Directed Research and Development; National Nuclear Security Administration; U.S. Department of Energy","keywords":"Time series; Transmission (telecommunications); Variance (accounting); Population; Climate change; Logistic function; Ecology; Geography; Statistics; Econometrics; Computer science; Environmental science; Biology; Mathematics; Demography","authors":[{"name":"Marina Mancuso","is_ca":false},{"name":"Kaitlyn Martinez","is_ca":false},{"name":"Carrie A. Manore","is_ca":false},{"name":"Fabio Milner","is_ca":false},{"name":"Martha Barnard","is_ca":false},{"name":"H. C. Godinez","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01856308090759594,"gpt":0.2661323890397169,"spread":0.247569308132121,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001716654,0.0005872874,0.0006975134,0.0007434357,0.0002914976,0.0009305798,0.0009239453,0.0007023154,0.0007464411],"category_scores_gemma":[0.006166166,0.0004558694,0.0007189743,0.0008477892,0.0004978983,0.0007770401,0.0008197622,0.0009886901,0.0001093108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307629,"about_ca_system_score_gemma":0.001485826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1079348,"about_ca_topic_score_gemma":0.08475717,"domain_scores_codex":[0.9995166,0.0001800302,0.00003252149,0.000125542,0.00008775359,0.00005763232],"domain_scores_gemma":[0.9984699,0.001034786,0.0001819688,0.0001300894,0.0001236871,0.00005960759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002305659,0.0000180375,0.0053546,0.00001750054,0.00003883976,0.0000348186,0.00002563064,0.986679,0.0002597545,0.001364861,0.0001273207,0.006056624],"study_design_scores_gemma":[0.000002435024,0.000006835247,0.001399489,0.00000231245,0.00000547033,0.000004467428,0.00001204098,0.9973783,0.00008417731,0.0009506903,0.0001490843,0.000004693126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5642273,0.0005622636,0.4293553,0.000747527,0.00008444743,0.00008027519,0.001722999,0.0005738536,0.00264607],"genre_scores_gemma":[0.9707691,0.0001795856,0.02742611,0.00005104725,0.00002636691,0.00003516087,0.0008114049,0.0000317695,0.0006694301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1079348,"threshold_uncertainty_score":0.2146131,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391536396","doi":"10.3389/fams.2023.1259836","title":"Linear to multi-linear algebra and systems using tensors","year":2024,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"Tensor decomposition and applications","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Algebra over a field; Linear algebra; Mathematics; Linear system; Multilinear algebra; Pure mathematics; Algebra representation; Cellular algebra; Mathematical analysis; Geometry","authors":[{"name":"Divyanshu Pandey","is_ca":false},{"name":"Adithya Venugopal","is_ca":false},{"name":"H. Leib","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05267917314048064,"gpt":0.3311761932085994,"spread":0.2784970200681187,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002480272,0.001947535,0.001126479,0.002573834,0.001186758,0.003950693,0.000894703,0.00119438,0.01209052],"category_scores_gemma":[0.00352854,0.0005161118,0.001848617,0.002650642,0.00715417,0.005526782,0.0030509,0.004610948,0.003307828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001723729,"about_ca_system_score_gemma":0.001128916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001611576,"about_ca_topic_score_gemma":0.001079875,"domain_scores_codex":[0.9973748,0.001141898,0.0002212344,0.0005765104,0.0005393149,0.0001462613],"domain_scores_gemma":[0.9975254,0.001050154,0.0003468082,0.0004552091,0.0004873514,0.0001351692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008408328,0.000009024666,0.00008075095,0.0001819761,0.00001894873,0.00009095963,0.000246196,0.002518942,0.000567651,0.981874,0.002761918,0.01164122],"study_design_scores_gemma":[0.000004445416,0.00003567371,0.0001762676,0.00009032677,0.00001028047,0.0001984832,0.0001074795,0.01322649,0.0004159125,0.9434083,0.04230309,0.00002337788],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00717603,0.0247671,0.9120816,0.004134633,0.002321299,0.00009526979,0.0004752608,0.0005049851,0.04844383],"genre_scores_gemma":[0.3125036,0.04664667,0.5834553,0.005492223,0.008188179,0.0006405616,0.00113967,0.0008237644,0.04110994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01209052,"threshold_uncertainty_score":0.04044688,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4394988771","doi":"10.3389/fams.2024.1365184","title":"Mathematical modelling of non-pharmaceutical interventions to control infectious diseases: application to COVID-19 in Kenya","year":2024,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychological intervention; Virology; Medicine; Pharmaceutical sciences; Intensive care medicine; Computer science; Pharmacology; Outbreak; Internal medicine; Disease","authors":[{"name":"Wandera Ogana","is_ca":false},{"name":"Victor Ogesa Juma","is_ca":true},{"name":"Wallace Bulimo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1098088675017468,"gpt":0.423481347271335,"spread":0.3136724797695882,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001202904,0.001011793,0.001140143,0.0009312073,0.0005808931,0.001529239,0.00187293,0.002497956,0.00492306],"category_scores_gemma":[0.004923039,0.0007021523,0.001596504,0.0007840138,0.0008615346,0.0009529722,0.001087801,0.001435942,0.0003288575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002372986,"about_ca_system_score_gemma":0.00281018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05756767,"about_ca_topic_score_gemma":0.02735434,"domain_scores_codex":[0.9995719,0.0001675833,0.00002283625,0.00006017616,0.0000644055,0.0001130666],"domain_scores_gemma":[0.99749,0.001717327,0.00033509,0.00003780784,0.0003033682,0.000116445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009552537,0.00001266796,0.0007557612,0.00002699042,0.000013749,0.00005270783,0.00002010644,0.9925603,0.0001221451,0.005443394,0.0002313915,0.0007513577],"study_design_scores_gemma":[0.000007035921,0.00001035321,0.000171415,0.000008091325,0.000007212074,0.000009992149,0.00001834666,0.9980337,0.00002960011,0.001390778,0.0003083985,0.000004951943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3815297,0.004855371,0.5646108,0.006719949,0.0003468536,0.0004383829,0.003893765,0.0004853618,0.03711984],"genre_scores_gemma":[0.9457279,0.001834699,0.03874325,0.0003631892,0.0000999364,0.0003742256,0.0008102839,0.000100593,0.01194585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05756767,"threshold_uncertainty_score":0.1144652,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4221166243","doi":"10.3389/fams.2022.852040","title":"Transmissibility in Interactive Nanocomposite Diffusion: The Nonlinear Double-Diffusion Model","year":2022,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Medical Research Council; UK Research and Innovation; Horizon 2020 Framework Programme; Deutsche Forschungsgemeinschaft; Canadian Institutes of Health Research; Leverhulme Trust; National Science Foundation","keywords":"Thermal diffusivity; Nonlinear system; Dislocation; Transmissibility (structural dynamics); Mathematical model; Statistical mechanics; Nanocomposite","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01268466951724202,"gpt":0.2347361873805843,"spread":0.2220515178633423,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006829424,0.0005843745,0.0006232897,0.0008360708,0.0004866869,0.001019695,0.001511887,0.001622666,0.001999615],"category_scores_gemma":[0.002566092,0.0002922108,0.0007514865,0.0003594353,0.001707907,0.002004876,0.001283372,0.001082124,0.0002672786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101736,"about_ca_system_score_gemma":0.0005790684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004944184,"about_ca_topic_score_gemma":0.002506253,"domain_scores_codex":[0.9997655,0.00006494414,0.00001051413,0.00005640561,0.00006100088,0.00004169339],"domain_scores_gemma":[0.9990884,0.0004609377,0.0001716305,0.00007315538,0.0000904595,0.0001153961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007733282,0.00008463496,0.001372389,0.0000794077,0.00002927948,0.0003180488,0.000228013,0.6555571,0.005331977,0.3319896,0.0009257729,0.004006492],"study_design_scores_gemma":[0.000006370707,0.000008716431,0.00008659928,0.000002872521,0.000003653832,0.00002903422,0.00001073697,0.9826227,0.0001508667,0.01684035,0.0002314506,0.000006579313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.32502,0.0009969077,0.6362708,0.002527907,0.0001531587,0.0001100241,0.0003891468,0.0002965537,0.03423549],"genre_scores_gemma":[0.9633505,0.0004878938,0.01927254,0.0001843218,0.00005705681,0.0001367871,0.00008930086,0.00006088303,0.01636064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004944184,"threshold_uncertainty_score":0.009830773,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414218087","doi":"10.3389/fams.2025.1617381","title":"Modelling longitudinal cognitive test data with ceiling effects and left skewness","year":2025,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Pfizer; Novartis Pharmaceuticals Corporation; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; European Commission; BioClinica; Alzheimer's Association","keywords":"Skewness; Cognition; Negative binomial distribution; Random effects model; Bayesian probability; Ceiling effect; Binomial distribution; Cognitive decline; Cognitive test","authors":[{"name":"Деница Григорова","is_ca":false},{"name":"Dean Palejev","is_ca":false},{"name":"Ralitza Gueorguieva","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01921787053860528,"gpt":0.2988003798629567,"spread":0.2795825093243514,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07112771,0.002614151,0.002851609,0.003207256,0.000784046,0.003959471,0.004280488,0.003025313,0.005369511],"category_scores_gemma":[0.1313998,0.001526251,0.00727975,0.002824636,0.002167505,0.003491536,0.002870827,0.004365567,0.001259119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0022743,"about_ca_system_score_gemma":0.002553446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01347862,"about_ca_topic_score_gemma":0.01172608,"domain_scores_codex":[0.9776673,0.01597668,0.001642111,0.002513898,0.00145822,0.0007417677],"domain_scores_gemma":[0.8808634,0.09964532,0.007422382,0.006927538,0.004592157,0.0005491903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001302745,0.0004904353,0.152141,0.003497065,0.004809749,0.001789898,0.003154121,0.462464,0.002566714,0.1247725,0.01759018,0.2254215],"study_design_scores_gemma":[0.0003602788,0.0007460393,0.03115839,0.00119471,0.001017989,0.0007286021,0.0005660051,0.7457523,0.00169408,0.2015964,0.01493691,0.0002482543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05723862,0.00207452,0.9289616,0.002065984,0.0004030975,0.0009684683,0.004280423,0.002046852,0.001960317],"genre_scores_gemma":[0.5047783,0.003053895,0.464088,0.002270582,0.0004472571,0.006716431,0.009106581,0.001004415,0.008534448],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07112771,"threshold_uncertainty_score":0.3761638,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3129688198","doi":"10.3389/fams.2020.578614","title":"Estimating Dependence Among Lumber Strength Properties With Copula Models","year":2021,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"Forest ecology and management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations","keywords":"Copula (linguistics); Ultimate tensile strength; Young's modulus; Structural engineering; Materials science; Mathematics; Composite material; Econometrics; Engineering","authors":[{"name":"Yanling Cai","is_ca":true},{"name":"Harry Joe","is_ca":true},{"name":"Shenyi Pan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008850296140009753,"gpt":0.1916590612720864,"spread":0.1828087651320766,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00584416,0.001617219,0.001281997,0.002656174,0.0004212021,0.001222126,0.00169406,0.001150682,0.002425212],"category_scores_gemma":[0.02605878,0.000896422,0.00208309,0.00184358,0.000702791,0.001458169,0.001107433,0.00187676,0.0009845068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007445489,"about_ca_system_score_gemma":0.0007359725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007597884,"about_ca_topic_score_gemma":0.004549598,"domain_scores_codex":[0.9972281,0.001425845,0.00009206768,0.0007307305,0.0003191218,0.0002042991],"domain_scores_gemma":[0.9814321,0.01452069,0.001422805,0.001518716,0.0009159339,0.0001897985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002853994,0.0002938034,0.04165564,0.0001564879,0.0008137363,0.0004141063,0.0003748617,0.8576646,0.008274603,0.01254593,0.001520257,0.07600052],"study_design_scores_gemma":[0.000004191563,0.00003390786,0.005804427,0.000007511193,0.00002782089,0.00003503934,0.00001961926,0.9903064,0.0006651166,0.002832082,0.0002459247,0.00001802175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1353955,0.0001327563,0.8625582,0.0000495521,0.00001122305,0.0001130104,0.0005067177,0.0005589214,0.0006741579],"genre_scores_gemma":[0.8454496,0.0002162493,0.1491286,0.00007428172,0.00002811774,0.0003589728,0.002356947,0.0003405634,0.002046715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007597884,"threshold_uncertainty_score":0.03090727,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407983435","doi":"10.3389/fams.2025.1526541","title":"Mellin convolutions of products and ratios","year":2025,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Mathematics; Algebra over a field; Pure mathematics","authors":[{"name":"A. M. Mathai","is_ca":true},{"name":"H. J. Haubold","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01750587598942933,"gpt":0.2746216724731594,"spread":0.2571157964837301,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002345603,0.001134317,0.0007281721,0.002736906,0.0009026577,0.003837126,0.0007537302,0.001154784,0.01034563],"category_scores_gemma":[0.01104521,0.0003572234,0.00130538,0.001786917,0.0034915,0.007545723,0.002154653,0.002143227,0.00195299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015656,"about_ca_system_score_gemma":0.0005643221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004828564,"about_ca_topic_score_gemma":0.0002366763,"domain_scores_codex":[0.9980433,0.0005681745,0.0001367401,0.000398673,0.0005753247,0.0002777503],"domain_scores_gemma":[0.9962529,0.00178948,0.0006421268,0.000576149,0.0004728108,0.0002665043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002068489,0.000007593323,0.0001174681,0.00003417698,0.000006196261,0.00008459327,0.0001334181,0.0008322918,0.0007970342,0.9898506,0.000649975,0.007465935],"study_design_scores_gemma":[0.000004886931,0.00002946697,0.000285767,0.00002414199,0.000009257993,0.0003333297,0.00008471927,0.0125564,0.0009960374,0.9793291,0.006328428,0.00001847959],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1010064,0.004578552,0.8029965,0.001524359,0.0007224776,0.00007250774,0.0004221544,0.0005284385,0.08814859],"genre_scores_gemma":[0.8332792,0.00592082,0.1201637,0.0009646734,0.001542555,0.0002168728,0.0004177065,0.0005584501,0.03693604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01034563,"threshold_uncertainty_score":0.03460962,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4318041384","doi":"10.3389/fams.2022.1075653","title":"Early childhood learning analytics: A case study of Learning Jungle","year":2023,"lang":"en","type":"article","venue":"Frontiers in Applied Mathematics and Statistics","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"TD Bank Group; York University","funders":"Mitacs","keywords":"Cohort; Psychology; Toddler; Early childhood; Test (biology); Social emotional learning; Developmental psychology; Medicine","authors":[{"name":"Rui Liang","is_ca":true},{"name":"Hongmei Zhu","is_ca":true},{"name":"Grant Lawson","is_ca":true},{"name":"Zhao Lian","is_ca":true},{"name":"Yuqi Huang","is_ca":true},{"name":"Shengyuan Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01742653464744761,"gpt":0.2826017083785306,"spread":0.265175173731083,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001780507,0.0005741119,0.000365018,0.002018173,0.005122528,0.002021768,0.001064818,0.001534271,0.002909162],"category_scores_gemma":[0.005087992,0.0002481279,0.0004981224,0.00133978,0.002418616,0.002105055,0.003823058,0.001995305,0.0005349185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002085942,"about_ca_system_score_gemma":0.002322572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0116719,"about_ca_topic_score_gemma":0.03575649,"domain_scores_codex":[0.9985222,0.0005456383,0.00006985421,0.0001549911,0.0002893132,0.0004179227],"domain_scores_gemma":[0.996624,0.001216538,0.0003667638,0.0003037333,0.0002974115,0.001191602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002347549,0.003096278,0.3026811,0.0003946909,0.00006633417,0.1519747,0.3868722,0.002104646,0.002824073,0.02989104,0.01000828,0.1098519],"study_design_scores_gemma":[0.0000713111,0.001730068,0.1484371,0.0006487772,0.0000825088,0.1702493,0.5318632,0.00966471,0.00824212,0.02414698,0.1046503,0.0002136352],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889471,0.0002764615,0.002252485,0.001512516,0.00002393881,0.00009537276,0.0001080837,0.000076957,0.006707069],"genre_scores_gemma":[0.987985,0.0004193643,0.004530041,0.0003501878,0.00001362494,0.00008350635,0.00009677802,0.00004320374,0.006478213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0116719,"threshold_uncertainty_score":0.0232079,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404117106","doi":"10.3389/fams.2024.1471447","title":"Corrigendum: A scalar Poincaré map for anti-phase bursting in coupled inhibitory neurons with synaptic depression","year":2024,"lang":"en","type":"erratum","venue":"Frontiers in Applied Mathematics and Statistics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Wellcome Trust","keywords":"Bursting; Inhibitory postsynaptic potential; Neuroscience; Scalar (mathematics); Depression (economics); Psychology; Mathematics; Economics; Geometry","authors":[{"name":"Mark Olenik","is_ca":false},{"name":"Conor Houghton","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01876643195030473,"gpt":0.2548507437432072,"spread":0.2360843117929025,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000441474,0.0006817708,0.0006937674,0.0009751692,0.0004100546,0.001029571,0.001067594,0.0009650114,0.06999488],"category_scores_gemma":[0.004812435,0.000224478,0.001171029,0.000631195,0.0008527775,0.001021848,0.0008799458,0.001152238,0.0121936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009762001,"about_ca_system_score_gemma":0.0004878213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002583314,"about_ca_topic_score_gemma":0.001692648,"domain_scores_codex":[0.9997202,0.00008379854,0.00001697932,0.00007456259,0.0000836123,0.00002093679],"domain_scores_gemma":[0.9991891,0.0002796075,0.00005182626,0.00009513147,0.000281293,0.0001029755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001898838,0.00004373087,0.00180208,0.001002429,0.0001379949,0.001812148,0.0003160338,0.06430897,0.005562553,0.5314848,0.3322622,0.0610771],"study_design_scores_gemma":[0.00005102644,0.0001061745,0.004356673,0.0001455306,0.00006235164,0.001075134,0.000140006,0.3636779,0.002766996,0.5333764,0.09414387,0.00009798556],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04029135,0.006544121,0.676975,0.01580215,0.05206808,0.0001932418,0.003144646,0.005621342,0.1993602],"genre_scores_gemma":[0.7180988,0.005407721,0.06167138,0.00374757,0.01144101,0.0003060142,0.002634405,0.00493061,0.1917625],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06999488,"threshold_uncertainty_score":0.2341562,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}