{"meta":{"query_hash":"a10034ea202f","filters":{"venue":"Mathematical Biosciences & Engineering"},"cohort_total":228,"direct_labels_cover":0,"predictions_cover":228,"exported":228,"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/a10034ea202f","api":"https://metacan.xera.ac/api/v1/cohort?venue=Mathematical+Biosciences+%26+Engineering"},"results":[{"id":"W101578874","doi":"10.3934/mbe.2011.8.1i","title":"Preface","year":2011,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Strain (injury); Geography; Demography; Incidence (geometry); Virus strain; Period (music); Virology; Socioeconomics; History; Coronavirus disease 2019 (COVID-19); Virus; Medicine; Pathology; Sociology; Internal medicine; Philosophy; Mathematics","score_opus":0.1437883267615943,"score_gpt":0.3372750770862907,"score_spread":0.19348675032469637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W101578874","genre_codex":"other","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019117942,0.011427289,0.006479688,0.050013583,0.4178432,0.0004795982,0.012598137,0.0014084141,0.49783823],"genre_scores_gemma":[0.010360928,0.00708801,0.0023999969,0.011454304,0.08629228,0.0002678336,0.009299716,0.0009776137,0.8718594],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99927634,0.00011472359,0.00006186519,0.00012448402,0.00035729937,0.000065343535],"domain_scores_gemma":[0.9946873,0.00085323415,0.00019912656,0.0003931309,0.0030160968,0.0008511004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014024669,0.0009432017,0.0005968761,0.0019210998,0.0020299002,0.0025030714,0.0011178396,0.0009965906,0.3728894],"category_scores_gemma":[0.009224937,0.00024964727,0.00041290894,0.001265959,0.00055437605,0.0024404922,0.001691663,0.0033252633,0.2535003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019122688,0.000010005826,0.00007325277,0.000046433295,0.000001125678,0.000038090806,0.000050714487,0.00003823369,0.00010784981,0.002331402,0.97933257,0.01795136],"study_design_scores_gemma":[0.0000022239547,0.0000090043195,0.00021796774,0.000051479525,6.020702e-7,0.000046455967,0.000044018325,0.000019279874,0.0000488751,0.0011369991,0.9984205,0.000002679482],"about_ca_topic_score_codex":0.0027144589,"about_ca_topic_score_gemma":0.0025942407,"teacher_disagreement_score":0.3728894,"about_ca_system_score_codex":0.00142024,"about_ca_system_score_gemma":0.0013257981,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W1483110735","doi":"10.3934/mbe.2015.12.1289","title":"Algebraic and topological indices of molecular pathway networks in human cancers","year":2015,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Tufts University School of Medicine; Allard Foundation; Montana State University; Division of Mathematical Sciences; National Science Foundation","keywords":"KEGG; Encyclopedia; Computational biology; Identification (biology); Biology; Gene; Interaction network; Topology (electrical circuits); Computer science; Genetics; Mathematics; Combinatorics; Gene ontology; Ecology","score_opus":0.010199154539789217,"score_gpt":0.2268073640673153,"score_spread":0.21660820952752607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1483110735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9597301,0.00046677006,0.034812763,0.000278635,0.0000074787445,0.00002569996,0.00076108205,0.00007423938,0.0038432789],"genre_scores_gemma":[0.9939248,0.00020476308,0.005148092,0.00001128896,0.000010065727,0.00001728515,0.0003910332,0.000005339025,0.0002873488],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996642,0.00011079537,0.000022771676,0.00007842592,0.000090541595,0.000033251355],"domain_scores_gemma":[0.9970611,0.0013548955,0.0010079297,0.00016355189,0.00022995876,0.00018254756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005465861,0.0001471489,0.00022640632,0.002871097,0.0002954201,0.0009678224,0.00021560193,0.00016136614,0.0010916117],"category_scores_gemma":[0.005042882,0.00012961884,0.0002942942,0.0016978201,0.00075494,0.0011749638,0.00056212186,0.0002768734,0.00009867555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048295892,0.00011225517,0.13528831,0.0003581703,0.00025335565,0.0006961681,0.0010700752,0.28177533,0.018730806,0.47271094,0.002398984,0.08612266],"study_design_scores_gemma":[0.000043227046,0.00016679608,0.13240495,0.000048112044,0.00010079732,0.0013329638,0.0005225091,0.48369688,0.0037748816,0.3728879,0.0049467455,0.000074135896],"about_ca_topic_score_codex":0.000922464,"about_ca_topic_score_gemma":0.0009420082,"teacher_disagreement_score":0.002871097,"about_ca_system_score_codex":0.00073716755,"about_ca_system_score_gemma":0.00038150515,"threshold_uncertainty_score":0.0053485036},"labels":[],"label_agreement":null},{"id":"W1964273550","doi":"10.3934/mbe.2006.3.513","title":"Global dynamics of a staged progression model for infectious diseases","year":2006,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Basic reproduction number; Stability theory; Infectious disease (medical specialty); Applied mathematics; Biology; Dynamics (music); Disease; Mathematics; Human immunodeficiency virus (HIV); Mathematical economics; Epidemic model; Virology; Demography; Physics; Medicine; Nonlinear system; Population; Internal medicine; Sociology","score_opus":0.011595919792575326,"score_gpt":0.28579677468252496,"score_spread":0.2742008548899496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964273550","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25326684,0.0013435947,0.708603,0.0023655163,0.00015094373,0.00012115317,0.0005464274,0.00025381707,0.033348627],"genre_scores_gemma":[0.9637376,0.00088004355,0.023302918,0.00016291485,0.00010294351,0.00018640484,0.00019630042,0.000044739034,0.011386145],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997818,0.00007502872,0.000008049118,0.00004930443,0.00004997452,0.000035825466],"domain_scores_gemma":[0.99946684,0.00022326916,0.00014100694,0.000030352578,0.000064959975,0.000073681855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005931954,0.0007898976,0.00063012395,0.00052424346,0.00043410962,0.0009975999,0.0010014332,0.0009876912,0.0036895862],"category_scores_gemma":[0.0016162297,0.00023812563,0.00070781534,0.0005043746,0.0010617373,0.0014591431,0.0010361508,0.00095357356,0.00037769208],"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":[0.00007604663,0.00005777741,0.00201198,0.0001200267,0.00006689952,0.0005052889,0.00045493152,0.4986785,0.0058868416,0.48270488,0.0021690638,0.0072677373],"study_design_scores_gemma":[0.000041525156,0.00008237144,0.0004684637,0.000013638855,0.00002648279,0.00015610467,0.000041957384,0.8807325,0.00028973934,0.11535821,0.002769931,0.00001907233],"about_ca_topic_score_codex":0.0022668377,"about_ca_topic_score_gemma":0.0013325404,"teacher_disagreement_score":0.0036895862,"about_ca_system_score_codex":0.0007696075,"about_ca_system_score_gemma":0.00053331885,"threshold_uncertainty_score":0.01234287},"labels":[],"label_agreement":null},{"id":"W1971205687","doi":"10.3934/mbe.2006.3.485","title":"An sveir model for assessing potential impact of an imperfect anti-SARS vaccine","year":2006,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":152,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; Wilfrid Laurier University; University of Manitoba","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; 2019-20 coronavirus outbreak; Biology; Medicine; Infectious disease (medical specialty); Outbreak; Disease","score_opus":0.027959787474325277,"score_gpt":0.36604267020928155,"score_spread":0.3380828827349563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971205687","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2999891,0.0020426102,0.59870595,0.0024503865,0.00033113043,0.0003155399,0.00238152,0.00061139255,0.09317242],"genre_scores_gemma":[0.9535868,0.0008615623,0.01433143,0.00018674825,0.0000669987,0.00034642557,0.0006863745,0.000045919343,0.029887794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950683,0.00018483488,0.000025911992,0.00008316887,0.000095354124,0.000104038554],"domain_scores_gemma":[0.99865663,0.0007431658,0.00026852454,0.00003410913,0.00021180807,0.00008566647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000880701,0.0009303795,0.0012778698,0.0009340197,0.0004352935,0.0013856066,0.001231091,0.0021437563,0.0045845406],"category_scores_gemma":[0.002590939,0.00043300015,0.0009328613,0.0005815424,0.00087788596,0.00078548514,0.001118525,0.0010583855,0.00051842525],"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":[0.000033134926,0.000015684,0.00035317437,0.000028179047,0.000017867469,0.000081063175,0.000025740128,0.9845516,0.0004891792,0.013320104,0.000243885,0.0008403412],"study_design_scores_gemma":[0.0000081221115,0.000021328726,0.00010500379,0.0000043003415,0.00000622431,0.0000062449835,0.000012324945,0.99778736,0.00004545951,0.0017272744,0.00027227032,0.0000042030765],"about_ca_topic_score_codex":0.020700578,"about_ca_topic_score_gemma":0.0076487726,"teacher_disagreement_score":0.020700578,"about_ca_system_score_codex":0.0013602414,"about_ca_system_score_gemma":0.0012676234,"threshold_uncertainty_score":0.041160166},"labels":[],"label_agreement":null},{"id":"W1976166148","doi":"10.3934/mbe.2008.5.389","title":"SEIR epidemiological model with varying infectivity and infinite delay","year":2008,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Basic reproduction number; Infectivity; Stability theory; Stability (learning theory); Mathematics; Applied mathematics; Computer science; Biology; Physics; Demography; Virology; Population","score_opus":0.040410802591722465,"score_gpt":0.2648058458146206,"score_spread":0.2243950432228981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976166148","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3381146,0.003742909,0.618063,0.003930629,0.00070269825,0.0002446648,0.002228458,0.0009084199,0.03206464],"genre_scores_gemma":[0.93316954,0.0025149446,0.022633335,0.00037283084,0.00031910176,0.00025887502,0.00059680734,0.00006402542,0.040070526],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990783,0.00027361547,0.000075992946,0.0002171798,0.00017266143,0.0001822524],"domain_scores_gemma":[0.99813926,0.0006268896,0.0005980023,0.00013389364,0.00029826735,0.00020356054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017916126,0.0015289155,0.0025517703,0.001847608,0.0005955813,0.0020127161,0.00319723,0.0032777165,0.0029142948],"category_scores_gemma":[0.003286274,0.00076342357,0.001632684,0.0011926781,0.0014560616,0.0025420033,0.0014844884,0.0017515586,0.00089984114],"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":[0.0003740698,0.0002763132,0.005141836,0.00041403936,0.00035657958,0.0058906404,0.0007478004,0.5832316,0.015410649,0.37367457,0.0032911107,0.011190686],"study_design_scores_gemma":[0.00008597565,0.0001282861,0.0005091817,0.000021773463,0.00009929968,0.0007284623,0.0000665857,0.9722605,0.00048562879,0.02406715,0.0014940149,0.00005321697],"about_ca_topic_score_codex":0.005779454,"about_ca_topic_score_gemma":0.0029209019,"teacher_disagreement_score":0.005779454,"about_ca_system_score_codex":0.0016037563,"about_ca_system_score_gemma":0.0010258665,"threshold_uncertainty_score":0.011636078},"labels":[],"label_agreement":null},{"id":"W1976224428","doi":"10.3934/mbe.2010.7.421","title":"Wave fronts in neuronal fields with nonlocalpost-synaptic axonal connections and delayed nonlocal feedbackconnections","year":2010,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"stochastic dynamics and bifurcation","field":"Physics and Astronomy","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Coupling (piping); Kernel (algebra); Physics; Front (military); Coupling strength; Mathematical analysis; Neuroscience; Control theory (sociology); Mathematics; Computer science; Psychology; Pure mathematics; Artificial intelligence; Engineering","score_opus":0.005520525753988109,"score_gpt":0.19621646469916562,"score_spread":0.1906959389451775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976224428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6961556,0.001012976,0.28963953,0.00080403604,0.00007007128,0.00007985619,0.00010998997,0.0001904219,0.01193754],"genre_scores_gemma":[0.98482424,0.0004514156,0.008182137,0.000054221273,0.000023869248,0.000047027504,0.000046234254,0.00002101003,0.0063499217],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998735,0.00003583063,0.0000062785866,0.0000142656445,0.000032397056,0.00003758235],"domain_scores_gemma":[0.9993782,0.00025610195,0.00014567515,0.00003335292,0.00010249076,0.000084104475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054127077,0.00066005293,0.000538638,0.0009863521,0.00048306838,0.0010386513,0.0009496074,0.0015065316,0.0013897748],"category_scores_gemma":[0.0015369949,0.0003607721,0.00080610707,0.000519122,0.0012172033,0.001604753,0.0009183042,0.00076794747,0.00019732627],"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":[0.00030381128,0.00010142027,0.0017579803,0.00014437456,0.000062918894,0.0013802283,0.00031323562,0.7046006,0.020207737,0.26261237,0.00071196025,0.0078033227],"study_design_scores_gemma":[0.000017415006,0.000022978364,0.00022793643,0.0000054547227,0.00000773559,0.000048956033,0.000024833738,0.9831251,0.0006421812,0.015760489,0.0001065676,0.000010329264],"about_ca_topic_score_codex":0.004103367,"about_ca_topic_score_gemma":0.0025038694,"teacher_disagreement_score":0.004103367,"about_ca_system_score_codex":0.0011923391,"about_ca_system_score_gemma":0.00045066793,"threshold_uncertainty_score":0.008651137},"labels":[],"label_agreement":null},{"id":"W1985321986","doi":"10.3934/mbe.2013.10.1281","title":"Influence of environmental factors on college alcohol drinking patterns","year":2013,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Psychological intervention; Environmental health; Extinction (optical mineralogy); Population; Alcohol abuse; Intervention (counseling); Demography; Psychology; Medicine; Biology; Psychiatry","score_opus":0.014207849329793456,"score_gpt":0.23118771807175834,"score_spread":0.21697986874196487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985321986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99816704,0.00017271926,0.00046558634,0.0001113217,0.000005113912,0.0000056722515,0.000127502,0.000009918948,0.0009351386],"genre_scores_gemma":[0.99959964,0.00005252124,0.000088831286,0.0000117931695,0.000003856047,0.0000024164883,0.000046086207,0.0000034446653,0.00019152423],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987985,0.0007539494,0.000044929464,0.00014773279,0.00009715016,0.0001577554],"domain_scores_gemma":[0.9930568,0.004181297,0.0011257393,0.0005180636,0.0002914069,0.00082670746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008257444,0.00022458869,0.00029351158,0.00045563176,0.0003003336,0.00075511844,0.00022385328,0.00038530893,0.0027022066],"category_scores_gemma":[0.006629754,0.00015010295,0.0005781518,0.0005502459,0.00035395552,0.00028118832,0.00060768315,0.0005295971,0.00015809697],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002724065,0.00017311625,0.9920974,0.000011381671,0.00025447994,0.00011209762,0.00009743688,0.00093452074,0.0009622786,0.00015244943,0.000066926405,0.0048654857],"study_design_scores_gemma":[0.0000016842024,0.00009603511,0.99827886,0.0000028847196,0.000043789605,0.000034450633,0.000112741334,0.0011155509,0.00010492705,0.00012211493,0.00008285173,0.0000042296047],"about_ca_topic_score_codex":0.008103701,"about_ca_topic_score_gemma":0.008145262,"teacher_disagreement_score":0.008103701,"about_ca_system_score_codex":0.00036270727,"about_ca_system_score_gemma":0.00039137222,"threshold_uncertainty_score":0.016113043},"labels":[],"label_agreement":null},{"id":"W1992354070","doi":"10.3934/mbe.2010.7.603","title":"Mechanisms for stable coexistence in an insect community","year":2010,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Acyrthosiphon pisum; Parasitoid; Biology; Aphid; Trait; Predation; Predator; Ecology; Extinction (optical mineralogy); Insect; Community; Functional response; Host (biology); Evolutionary biology; Aphididae; Homoptera; Botany; PEST analysis; Habitat; Computer science","score_opus":0.08266325968487176,"score_gpt":0.2352211089455823,"score_spread":0.15255784926071053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992354070","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38514492,0.00077320484,0.59161943,0.0020827681,0.00006326433,0.000084636515,0.00011664388,0.000390165,0.019724967],"genre_scores_gemma":[0.968014,0.00022962355,0.028992446,0.00014894287,0.000047953803,0.00018348715,0.00004980998,0.00003434842,0.0022993376],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995396,0.0001670507,0.000028444301,0.00008514518,0.000112164525,0.00006765376],"domain_scores_gemma":[0.99868435,0.0005045122,0.00036002396,0.00012412004,0.00017261674,0.00015432677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010183235,0.00037658153,0.00046801523,0.00074433675,0.0012612753,0.0013412909,0.0013492833,0.0014373098,0.0034821485],"category_scores_gemma":[0.0033847548,0.00030692908,0.0009233961,0.0002713773,0.0014681353,0.0025864781,0.0018365652,0.0006319998,0.00043676305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003474667,0.000053890763,0.0027392101,0.00014735393,0.00010365371,0.00066135917,0.00076658925,0.117693484,0.008890819,0.85952616,0.0011038075,0.008278931],"study_design_scores_gemma":[0.000060484792,0.000066351044,0.0011616457,0.00003062833,0.00003436362,0.00043240777,0.00024568485,0.49750596,0.00067476014,0.49735415,0.0023912345,0.000042322634],"about_ca_topic_score_codex":0.00084908464,"about_ca_topic_score_gemma":0.00089841516,"teacher_disagreement_score":0.0034821485,"about_ca_system_score_codex":0.0009823261,"about_ca_system_score_gemma":0.0007570862,"threshold_uncertainty_score":0.011649013},"labels":[],"label_agreement":null},{"id":"W1993304237","doi":"10.3934/mbe.2009.6.301","title":"Culling structured hosts to eradicate vector-borne diseases","year":2009,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Culling; Vector (molecular biology); Disease control; Differential equation; Applied mathematics; Control theory (sociology); Biology; Mathematics; Toxicology; Computer science; Ecology; Control (management); Artificial intelligence; Biotechnology; Mathematical analysis","score_opus":0.013843752821903029,"score_gpt":0.27013494182750286,"score_spread":0.25629118900559983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993304237","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48330623,0.0004828427,0.50418323,0.0010072028,0.0001316934,0.00010542246,0.00032238883,0.00019420018,0.010266725],"genre_scores_gemma":[0.97739947,0.00031737273,0.012921614,0.00007521158,0.000026848531,0.00007000015,0.00006451521,0.00001584133,0.009109286],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997838,0.000062716594,0.000010293066,0.000046218218,0.000029370747,0.00006771936],"domain_scores_gemma":[0.99918526,0.00037729787,0.00021285495,0.00006037013,0.00006437199,0.00009989583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070936076,0.0004660093,0.0005940373,0.0003423406,0.00026502833,0.0007428614,0.0014805954,0.0009331173,0.0027449708],"category_scores_gemma":[0.0024385497,0.00028062967,0.00044460114,0.0002567571,0.0007362966,0.0010853424,0.00060914905,0.0006411032,0.00037977012],"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":[0.00014585258,0.000093799514,0.004004791,0.00013349358,0.000062546904,0.00036414788,0.00023536215,0.85322404,0.012292338,0.11799259,0.0009142523,0.010536878],"study_design_scores_gemma":[0.00003776385,0.0001438973,0.00072810997,0.000011591437,0.000038389026,0.00011299153,0.00004696467,0.98622847,0.000846065,0.010677185,0.0011163666,0.000012289426],"about_ca_topic_score_codex":0.0033273627,"about_ca_topic_score_gemma":0.0035856566,"teacher_disagreement_score":0.0033273627,"about_ca_system_score_codex":0.00066300575,"about_ca_system_score_gemma":0.00076207926,"threshold_uncertainty_score":0.00918287},"labels":[],"label_agreement":null},{"id":"W1993397183","doi":"10.3934/mbe.2006.3.205","title":"The effect of global travel on the spread of SARS","year":2006,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Beijing; Outbreak; Coronavirus disease 2019 (COVID-19); Geography; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Economic geography; 2019-20 coronavirus outbreak; Meteorology; Regional science; China; Virology; Infectious disease (medical specialty); Disease; Biology; Medicine","score_opus":0.07373582555556892,"score_gpt":0.352633536591805,"score_spread":0.2788977110362361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993397183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97568345,0.0025799575,0.011406659,0.001788293,0.000034246044,0.000012708518,0.0001513129,0.000026591782,0.008316804],"genre_scores_gemma":[0.9974136,0.0012487392,0.0004535546,0.00006443692,0.000021762577,0.0000037620775,0.000020346057,0.0000065465724,0.000767327],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996809,0.0001919322,0.000007784671,0.000031861095,0.000027895316,0.000059710346],"domain_scores_gemma":[0.99867153,0.00076378137,0.00034392293,0.00005802632,0.000074702075,0.000088040695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005599545,0.00038104499,0.00030601633,0.0003941728,0.00026970095,0.0007029742,0.00022543139,0.0005591194,0.0025014398],"category_scores_gemma":[0.003077069,0.00016558029,0.00050515454,0.00051959476,0.0008489292,0.0011706583,0.0008544644,0.0005650413,0.00015737157],"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":[0.0007611155,0.00015186075,0.18124458,0.00044705815,0.0007262919,0.0028195432,0.0014100514,0.66831136,0.009495031,0.09308238,0.0022492171,0.03930153],"study_design_scores_gemma":[0.0002006605,0.0012426982,0.24749385,0.00020919926,0.0010858534,0.0018847955,0.003590197,0.6465666,0.0029270495,0.08690459,0.007739842,0.00015458536],"about_ca_topic_score_codex":0.010518242,"about_ca_topic_score_gemma":0.009331641,"teacher_disagreement_score":0.010518242,"about_ca_system_score_codex":0.0005562588,"about_ca_system_score_gemma":0.0003535323,"threshold_uncertainty_score":0.020914078},"labels":[],"label_agreement":null},{"id":"W1998456744","doi":"10.3934/mbe.2012.9.785","title":"The impact of migrant workers on the tuberculosis transmission: General models and a case study forChina","year":2012,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Memorial University of Newfoundland","funders":"","keywords":"Basic reproduction number; Tuberculosis; China; Transmission (telecommunications); Disease; Disease transmission; Demography; Floating population; Population; Epidemic model; Econometrics; Geography; Environmental health; Medicine; Mathematics; Computer science; Sociology; Virology","score_opus":0.03745267165685188,"score_gpt":0.3124794299978152,"score_spread":0.2750267583409633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998456744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94559747,0.0030701319,0.03423558,0.0027695694,0.00014003318,0.0001345994,0.0004952705,0.00011677703,0.013440699],"genre_scores_gemma":[0.98595494,0.001663548,0.0046751965,0.00014243288,0.000060906947,0.00012523233,0.00013780339,0.000025847072,0.007214101],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995951,0.00023219766,0.00001557196,0.000037321228,0.000018079543,0.00010172369],"domain_scores_gemma":[0.9989693,0.0005858956,0.00017441265,0.00006206444,0.00009387507,0.0001143872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010155549,0.0010630505,0.001597218,0.0010760034,0.0014437613,0.0020404418,0.0015515966,0.0029558295,0.0032445057],"category_scores_gemma":[0.0024999124,0.0005074404,0.0021733502,0.00096662715,0.0010435072,0.0011572455,0.0023385154,0.0013448981,0.0004359777],"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":[0.00039052925,0.00077264983,0.02972364,0.00028069064,0.0003667186,0.007789226,0.0013076372,0.8586895,0.0030313,0.082430795,0.0037033947,0.011513931],"study_design_scores_gemma":[0.00011106258,0.0002598872,0.0031013805,0.000048836067,0.000184733,0.0006378064,0.00062000134,0.9794317,0.00019066833,0.013601562,0.001751935,0.000060432307],"about_ca_topic_score_codex":0.033508398,"about_ca_topic_score_gemma":0.016130783,"teacher_disagreement_score":0.033508398,"about_ca_system_score_codex":0.0012498987,"about_ca_system_score_gemma":0.0008754256,"threshold_uncertainty_score":0.06662673},"labels":[],"label_agreement":null},{"id":"W2000118227","doi":"10.3934/mbe.2011.8.113","title":"Evaluation of vaccination strategies during pandemic outbreaks","year":2011,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; National Research Council Canada; National Research Council Institute for Biodiagnostics","funders":"","keywords":"Vaccination; Outbreak; Pandemic; Medicine; Population; Vaccine efficacy; Pandemic influenza; Coronavirus disease 2019 (COVID-19); Environmental health; Immunology; Virology; Disease; Infectious disease (medical specialty); Internal medicine","score_opus":0.1806266188691809,"score_gpt":0.38303870810733864,"score_spread":0.20241208923815773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000118227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9693405,0.0005476525,0.023586733,0.00044773007,0.00004730562,0.00027,0.00016225239,0.00006721298,0.005530691],"genre_scores_gemma":[0.9947693,0.00015819372,0.0042460137,0.000038399452,0.000007178023,0.00008617132,0.00005799416,0.0000069373223,0.0006298537],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991792,0.00050145417,0.000022541177,0.00007852,0.00007237894,0.00014594186],"domain_scores_gemma":[0.99636936,0.002674734,0.00039093598,0.00010892851,0.00025965399,0.00019641923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032019261,0.00085218454,0.0011603296,0.00069204555,0.00027592972,0.0008674733,0.0009954429,0.0010800662,0.0021220956],"category_scores_gemma":[0.011665836,0.00036181023,0.00049902365,0.0002714694,0.00038640952,0.0011595688,0.00069371646,0.0005622563,0.00012784242],"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":[0.0007755922,0.000368297,0.0055647907,0.00015154868,0.00009829921,0.000106218395,0.00006421958,0.96783644,0.002939259,0.004722887,0.00030862022,0.017063802],"study_design_scores_gemma":[0.0001555959,0.0018523203,0.0032506909,0.000037720773,0.000101827834,0.00003441417,0.0001729583,0.98883367,0.0014940164,0.0036104685,0.0004386142,0.000017659555],"about_ca_topic_score_codex":0.0043615783,"about_ca_topic_score_gemma":0.0017986223,"teacher_disagreement_score":0.0043615783,"about_ca_system_score_codex":0.001477231,"about_ca_system_score_gemma":0.0014739858,"threshold_uncertainty_score":0.01693362},"labels":[],"label_agreement":null},{"id":"W2003384337","doi":"10.3934/mbe.2013.10.1399","title":"Bifurcation analysis of a discrete SIS model with bilinear incidence depending on new infection","year":2013,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Education Department of Shaanxi Province; National Natural Science Foundation of China; International Development Research Centre","keywords":"Bifurcation; Mathematics; Saddle-node bifurcation; Transcritical bifurcation; Stability (learning theory); Hopf bifurcation; Incidence (geometry); Applied mathematics; Bilinear interpolation; Pitchfork bifurcation; Bogdanov–Takens bifurcation; Bifurcation diagram; Control theory (sociology); Nonlinear system; Computer science; Physics; Geometry; Statistics; Control (management)","score_opus":0.019477320539969055,"score_gpt":0.27362854802616604,"score_spread":0.254151227486197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003384337","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32462597,0.0012327085,0.64323914,0.0010142096,0.00022068483,0.000099206605,0.0002949419,0.00024501473,0.02902813],"genre_scores_gemma":[0.9912759,0.0004061111,0.0037935157,0.000034485813,0.000035141213,0.000056872515,0.00006655199,0.000011566635,0.00431982],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998115,0.000057905047,0.000011605731,0.000035070945,0.00003959415,0.000044438002],"domain_scores_gemma":[0.9996107,0.00015417322,0.00012189641,0.000018362056,0.00005562562,0.000039208753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004936198,0.0005870918,0.00084072835,0.0007407954,0.00047063257,0.00100267,0.00063676684,0.0007803689,0.0021992172],"category_scores_gemma":[0.000858417,0.0003151922,0.00093412877,0.00045581008,0.00076916174,0.0006732181,0.0009232246,0.00070318027,0.00014476903],"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":[0.00009556054,0.00004817364,0.0019972865,0.00012277074,0.00007735437,0.0005556188,0.0001735938,0.9060098,0.008108154,0.0782424,0.0005097391,0.0040595224],"study_design_scores_gemma":[0.000008699761,0.000026807216,0.00027712627,0.000006621484,0.000016182208,0.00004671496,0.000022034641,0.99086285,0.00020795366,0.008261702,0.00025529214,0.000008029964],"about_ca_topic_score_codex":0.0042653373,"about_ca_topic_score_gemma":0.0016188733,"teacher_disagreement_score":0.0042653373,"about_ca_system_score_codex":0.00085124193,"about_ca_system_score_gemma":0.0006299774,"threshold_uncertainty_score":0.008481026},"labels":[],"label_agreement":null},{"id":"W2003580285","doi":"10.3934/mbe.2008.5.145","title":"Mathematical analysis of the transmission dynamics of HIV/TB coinfection in the presence of treatment","year":2008,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":215,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Coinfection; Basic reproduction number; Human immunodeficiency virus (HIV); Tuberculosis; Transmission (telecommunications); Antiretroviral treatment; Medicine; Disease; Biology; Virology; Antiretroviral therapy; Computer science; Viral load; Environmental health; Internal medicine; Population; Pathology","score_opus":0.02125053062998323,"score_gpt":0.26507736240577096,"score_spread":0.24382683177578773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003580285","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3686633,0.005831737,0.5288208,0.010619893,0.0004267157,0.00028471218,0.00093926495,0.00029736734,0.08411622],"genre_scores_gemma":[0.9665559,0.0015241138,0.010844528,0.00028071363,0.000120746314,0.00018536829,0.00011732055,0.00003246355,0.02033895],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996258,0.00015815477,0.00001440251,0.000043047025,0.00007376036,0.00008481059],"domain_scores_gemma":[0.9986059,0.00088534906,0.00026916547,0.000033654174,0.00013099112,0.00007499703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008682362,0.00057431194,0.0007513174,0.0007053179,0.00063324947,0.0011057752,0.0011449329,0.0015778788,0.004903658],"category_scores_gemma":[0.0040915404,0.00044811753,0.0007346576,0.000504605,0.00090885634,0.0013653758,0.000889888,0.0011656703,0.0003995011],"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":[0.000079503196,0.00007883862,0.0033788856,0.0001589716,0.000073046875,0.0011582042,0.00024341645,0.8013792,0.0024103287,0.18204036,0.0022179012,0.0067814006],"study_design_scores_gemma":[0.000009691293,0.000038073405,0.0005167303,0.000016800752,0.000023589415,0.00015342557,0.000051282637,0.98816526,0.000102038386,0.010072087,0.00084054767,0.000010532569],"about_ca_topic_score_codex":0.011021791,"about_ca_topic_score_gemma":0.0050005713,"teacher_disagreement_score":0.011021791,"about_ca_system_score_codex":0.001994819,"about_ca_system_score_gemma":0.0015576562,"threshold_uncertainty_score":0.021915257},"labels":[],"label_agreement":null},{"id":"W2012013073","doi":"10.3934/mbe.2010.7.187","title":"An extension of the formula for spreading speeds","year":2010,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Extension (predicate logic); Recursion (computer science); Class (philosophy); Mathematics; Applied mathematics; Statistical physics; Computer science; Physics; Algorithm; Artificial intelligence","score_opus":0.0196912577258745,"score_gpt":0.29449654236272843,"score_spread":0.27480528463685394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012013073","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013845157,0.0013076748,0.9458512,0.0015957676,0.00072808954,0.00005504991,0.0001964675,0.00017968247,0.036240973],"genre_scores_gemma":[0.57300866,0.0061338306,0.3617181,0.0022142767,0.0028770177,0.0004233657,0.00043716942,0.0006883657,0.0524994],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988061,0.0002741727,0.00008254656,0.0002598009,0.00042306166,0.0001543506],"domain_scores_gemma":[0.9939382,0.0039282115,0.00035586956,0.00064238824,0.00097120187,0.0001640744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025807987,0.00088494224,0.000709014,0.0023590939,0.0010524342,0.001993979,0.0022897949,0.0024030933,0.011621032],"category_scores_gemma":[0.02141033,0.00047194888,0.0018172519,0.0016877564,0.0019323794,0.006862098,0.0020214452,0.004118487,0.002263455],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069819944,0.000011898516,0.0002772993,0.000058901005,0.000007815385,0.000079065714,0.00011487122,0.01074471,0.00074244494,0.9721672,0.0016248549,0.014163885],"study_design_scores_gemma":[0.000007724251,0.000021993625,0.00018868789,0.000053499203,0.000014390289,0.00025961513,0.000035145946,0.13536964,0.0004885028,0.8531419,0.0104006175,0.00001822673],"about_ca_topic_score_codex":0.0023655207,"about_ca_topic_score_gemma":0.001131254,"teacher_disagreement_score":0.011621032,"about_ca_system_score_codex":0.0013070138,"about_ca_system_score_gemma":0.0011078544,"threshold_uncertainty_score":0.038876235},"labels":[],"label_agreement":null},{"id":"W2015330880","doi":"10.3934/mbe.2014.11.1395","title":"A new model with delay for mosquito population dynamics","year":2014,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Blood meal; Hopf bifurcation; Population; Population model; Reproduction; Biology; Resource (disambiguation); Ecology; Bifurcation; Demography; Computer science; Physics; Nonlinear system","score_opus":0.014015173458183507,"score_gpt":0.2564652743112003,"score_spread":0.2424501008530168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015330880","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16585158,0.002709999,0.79492974,0.0034767804,0.0009722262,0.00016748413,0.0009996763,0.0002338595,0.030658728],"genre_scores_gemma":[0.9090782,0.0024753015,0.03688473,0.00063476764,0.00066353526,0.00034484724,0.00044086404,0.00006186179,0.049415894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999729,0.00006583838,0.000015597443,0.00008684651,0.000053240718,0.000049448223],"domain_scores_gemma":[0.9996964,0.0000987486,0.00007989984,0.000020553034,0.00005198041,0.000052586973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004058743,0.000691444,0.00082708825,0.00044398784,0.00032933633,0.00097428425,0.0014484851,0.0014791476,0.00387619],"category_scores_gemma":[0.001264139,0.00025810924,0.0008136298,0.0004375323,0.000533146,0.0018979297,0.0008988257,0.0013655383,0.0005038336],"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":[0.00012071158,0.000113691276,0.0026583928,0.00036455182,0.00010277235,0.0015633826,0.00049489574,0.6321781,0.018556153,0.3282941,0.004093661,0.01145952],"study_design_scores_gemma":[0.000065337284,0.00011062272,0.000417982,0.000016171463,0.000041158575,0.00038472956,0.00006460282,0.960256,0.0004875056,0.031110503,0.0070155263,0.000029876837],"about_ca_topic_score_codex":0.0029943732,"about_ca_topic_score_gemma":0.0019183992,"teacher_disagreement_score":0.00387619,"about_ca_system_score_codex":0.0008000817,"about_ca_system_score_gemma":0.00070643355,"threshold_uncertainty_score":0.01296711},"labels":[],"label_agreement":null},{"id":"W2021396682","doi":"10.3934/mbe.2007.4.239","title":"A mathematical model for M-phase specific chemotherapy including the $G_0$-phase and immunoresponse","year":2007,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Interphase; Hopf bifurcation; Cancer cell; Phase (matter); Synchronization (alternating current); Mitosis; Biological system; Bifurcation; Cancer; Mathematics; Physics; Biology; Cell biology; Nonlinear system; Topology (electrical circuits); Quantum mechanics; Combinatorics","score_opus":0.07696778149236669,"score_gpt":0.3703321676062434,"score_spread":0.2933643861138767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021396682","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06587719,0.0022627823,0.89252806,0.003391816,0.00033767434,0.00016255342,0.00044930703,0.00020481591,0.03478572],"genre_scores_gemma":[0.87156254,0.0028205572,0.07997132,0.00090589,0.00034311332,0.00086100714,0.00032787156,0.00008846764,0.043119267],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997776,0.00005966426,0.00001221907,0.000050772862,0.00006204876,0.000037623246],"domain_scores_gemma":[0.99972993,0.00011307396,0.00007419363,0.00001849575,0.000040013278,0.000024142753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039254047,0.00066409155,0.00075929024,0.0004912892,0.00054577005,0.00072598545,0.0012066931,0.0017900637,0.0036296386],"category_scores_gemma":[0.0009992064,0.00030987314,0.00096857006,0.00046822897,0.0008340274,0.001593444,0.00064192404,0.0012112337,0.0007835627],"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":[0.00007440594,0.00007159052,0.0005351739,0.00020307582,0.00004277577,0.00052021106,0.0001741277,0.6272336,0.0112178065,0.35048804,0.0020847486,0.007354446],"study_design_scores_gemma":[0.00007728203,0.00011561745,0.00024468184,0.000023386892,0.00003891024,0.00024829904,0.000024894693,0.9275986,0.0010231247,0.06357081,0.0070086042,0.000025831738],"about_ca_topic_score_codex":0.003094469,"about_ca_topic_score_gemma":0.0020747997,"teacher_disagreement_score":0.0036296386,"about_ca_system_score_codex":0.0010194101,"about_ca_system_score_gemma":0.0010151007,"threshold_uncertainty_score":0.012142301},"labels":[],"label_agreement":null},{"id":"W2022067587","doi":"10.3934/mbe.2011.8.1","title":"Pandemic influenza: Modelling and public health perspectives","year":2011,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Pandemic; Public health; Outbreak; Context (archaeology); Influenza pandemic; Disease; H1N1 influenza; Coronavirus disease 2019 (COVID-19); Management science; Virology; Infectious disease (medical specialty); Computer science; Geography; Medicine; Engineering; Pathology","score_opus":0.4836090018859755,"score_gpt":0.40474493425290886,"score_spread":0.07886406763306664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022067587","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026753273,0.20056099,0.24994583,0.3826208,0.004910287,0.00009819511,0.0011618858,0.00037380762,0.13357493],"genre_scores_gemma":[0.5569361,0.31086195,0.08817819,0.012491007,0.011925352,0.00039331036,0.0008335883,0.0001581558,0.018222459],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991486,0.00055715087,0.0000331102,0.00006550919,0.00013743834,0.000058178965],"domain_scores_gemma":[0.99866366,0.0008600499,0.0001093032,0.00011518951,0.00016945896,0.00008245832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025071716,0.0011356685,0.00087868486,0.0010129199,0.00061492686,0.0027925833,0.0016083515,0.0031449222,0.0041299243],"category_scores_gemma":[0.003666808,0.00044071063,0.0009425562,0.00074895815,0.0014939893,0.0034513434,0.0015430151,0.003289588,0.000680188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004483804,0.000139553,0.0010080611,0.00043521833,0.00005246875,0.00025129385,0.00018130284,0.05876654,0.0006709947,0.8959921,0.017928932,0.02452858],"study_design_scores_gemma":[0.000013532491,0.000078151694,0.00062717526,0.00027164357,0.00002533546,0.00028973533,0.00027858923,0.06705314,0.00023094116,0.8756458,0.05545342,0.000032388416],"about_ca_topic_score_codex":0.004117755,"about_ca_topic_score_gemma":0.0031625694,"teacher_disagreement_score":0.0041299243,"about_ca_system_score_codex":0.0014564868,"about_ca_system_score_gemma":0.0014277399,"threshold_uncertainty_score":0.013815939},"labels":[],"label_agreement":null},{"id":"W2030386659","doi":"10.3934/mbe.2013.10.1691","title":"Optimal isolation strategies of emerging infectious diseases with limited resources","year":2013,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National University of Defense Technology; Canada Research Chairs; International Development Research Centre","keywords":"Isolation (microbiology); Optimal control; Limited resources; Mathematical optimization; Population; Control (management); Patient isolation; Computer science; Outbreak; Mathematics; Biology; Statistics; Virology; Medicine; Artificial intelligence; Bioinformatics","score_opus":0.051055095924953615,"score_gpt":0.31750361276253336,"score_spread":0.26644851683757975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030386659","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26454356,0.0015647166,0.7192887,0.0012364571,0.000095182804,0.0001299182,0.00013147783,0.00019114651,0.0128188785],"genre_scores_gemma":[0.9752965,0.00047636274,0.021318486,0.00012921981,0.000030074703,0.00010150727,0.000058649486,0.000023975588,0.0025650868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992293,0.00033471594,0.000041411502,0.00013086281,0.00009539541,0.00016825664],"domain_scores_gemma":[0.99826884,0.0009952073,0.0003705539,0.00008244301,0.00014419279,0.00013869187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011619395,0.0008723609,0.00093327824,0.0007072291,0.00031268585,0.0010357117,0.0012713125,0.00097500806,0.0017563499],"category_scores_gemma":[0.004554025,0.00055277755,0.00064172054,0.00033460572,0.0010113785,0.0012504369,0.0014170246,0.0007031122,0.00019570808],"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":[0.00015533734,0.00010493344,0.0008183616,0.00014891282,0.00007482124,0.00021424619,0.000102456244,0.9115986,0.004322408,0.06781416,0.0010308542,0.013614831],"study_design_scores_gemma":[0.000036094734,0.000080042715,0.00033202264,0.000021297743,0.00002713426,0.000039217175,0.00006250931,0.9699276,0.0007424623,0.028163748,0.0005530798,0.000014824979],"about_ca_topic_score_codex":0.001987271,"about_ca_topic_score_gemma":0.0010008072,"teacher_disagreement_score":0.001987271,"about_ca_system_score_codex":0.0008928202,"about_ca_system_score_gemma":0.00093380036,"threshold_uncertainty_score":0.0064778924},"labels":[],"label_agreement":null},{"id":"W2035688920","doi":"10.3934/mbe.2010.7.837","title":"Global stability of an $SIR$ epidemic model with delay and general nonlinear incidence","year":2010,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Epidemic model; Stability theory; Mathematics; Stability (learning theory); Lyapunov function; Applied mathematics; Incidence (geometry); Nonlinear system; A priori and a posteriori; Exponential stability; Mathematical proof; Function (biology); Control theory (sociology); Computer science; Control (management); Demography; Physics; Population","score_opus":0.01795451911595707,"score_gpt":0.28032216415126565,"score_spread":0.26236764503530857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035688920","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.422266,0.0014532348,0.542809,0.001936608,0.00021501885,0.00008288917,0.0005382343,0.00033745536,0.03036147],"genre_scores_gemma":[0.9833413,0.00070696045,0.0048597143,0.00005980886,0.000067552275,0.000054819768,0.00011620585,0.000023767234,0.010770072],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970883,0.00008657617,0.00001291268,0.00007585903,0.00004320838,0.00007256698],"domain_scores_gemma":[0.99912006,0.0004044352,0.00026387649,0.000032893036,0.00012234108,0.00005640367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000777109,0.0008649457,0.001135357,0.0007310309,0.00047839322,0.0013011966,0.001302215,0.0010972291,0.002310659],"category_scores_gemma":[0.0020271605,0.00038154388,0.00070229685,0.00058867555,0.0012760339,0.0012417855,0.001092866,0.00076504116,0.0003401158],"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":[0.0001373172,0.00004410795,0.0020152575,0.00010419906,0.0000792567,0.0005833065,0.00019352109,0.8713668,0.0048872014,0.11553423,0.00085635984,0.0041983714],"study_design_scores_gemma":[0.00001957303,0.00004577845,0.00034392043,0.0000072052894,0.000023405304,0.00007472803,0.00003812983,0.98488927,0.0002207997,0.013767993,0.0005542411,0.000014957868],"about_ca_topic_score_codex":0.0053972006,"about_ca_topic_score_gemma":0.0026608736,"teacher_disagreement_score":0.0053972006,"about_ca_system_score_codex":0.001086084,"about_ca_system_score_gemma":0.00068957964,"threshold_uncertainty_score":0.010731578},"labels":[],"label_agreement":null},{"id":"W2037969341","doi":"10.3934/mbe.2010.7.675","title":"Global stability of an HIV-1 model with distributed intracellular delays and a combination therapy","year":2010,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Clearance; Basic reproduction number; Protease inhibitor (pharmacology); Human immunodeficiency virus (HIV); Stability (learning theory); Population; Intracellular; Viral load; Virology; Constant (computer programming); Biology; Antiretroviral therapy; Reproduction; Pathogenesis; Mathematics; Immunology; Applied mathematics; Computer science; Cell biology; Medicine; Genetics","score_opus":0.01515740558987669,"score_gpt":0.2502420746407193,"score_spread":0.2350846690508426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037969341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50804394,0.0015441991,0.46443558,0.0023746984,0.00015062965,0.00012667438,0.0006478572,0.00034720218,0.022329172],"genre_scores_gemma":[0.9898572,0.00032620283,0.0041214004,0.000055283577,0.000029270946,0.000072833805,0.00006663215,0.000018196699,0.0054530576],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973136,0.0000836883,0.000010074458,0.00006964647,0.000046409685,0.00005875088],"domain_scores_gemma":[0.9989687,0.0005277145,0.00024188634,0.00003723003,0.00013442039,0.00008999694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080331735,0.0012853831,0.001329208,0.0006942099,0.0006427318,0.0014793391,0.0011095083,0.001832874,0.0020398893],"category_scores_gemma":[0.002435925,0.0004084062,0.00097513397,0.00038682413,0.0015833729,0.0010339898,0.0012438631,0.0010399603,0.00019849662],"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":[0.00016014065,0.00003794696,0.0010084372,0.00005696828,0.00007716576,0.0003680842,0.00010956739,0.95102715,0.003638535,0.040888403,0.00054356613,0.0020840159],"study_design_scores_gemma":[0.000026758615,0.000050085204,0.00022842815,0.000005351784,0.00002550784,0.000033828022,0.000018976996,0.9922984,0.00014413297,0.006938519,0.0002182083,0.0000118350035],"about_ca_topic_score_codex":0.0067345584,"about_ca_topic_score_gemma":0.0024889638,"teacher_disagreement_score":0.0067345584,"about_ca_system_score_codex":0.0015622497,"about_ca_system_score_gemma":0.00087085855,"threshold_uncertainty_score":0.01339072},"labels":[],"label_agreement":null},{"id":"W2042077492","doi":"10.3934/mbe.2013.10.1173","title":"The impact of an imperfect vaccine and pap cytologyscreening on the transmission of human papillomavirus and occurrenceof associated cervical dysplasia and cancer","year":2013,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Cervical cancer; Dysplasia; Population; Transmission (telecommunications); Cancer; Disease; Basic reproduction number; HPV infection; Demography; Medicine; Internal medicine; Computer science; Environmental health","score_opus":0.024435335856556595,"score_gpt":0.3366405974902837,"score_spread":0.3122052616337271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042077492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91074866,0.000550163,0.072639234,0.0021953403,0.00006884938,0.00008960286,0.00033620544,0.000059485043,0.013312448],"genre_scores_gemma":[0.99484825,0.00022914949,0.0025154082,0.00006220804,0.00001054189,0.00003867901,0.000036354002,0.000005549478,0.002253787],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950945,0.00023669,0.000014575339,0.000059967897,0.00006395059,0.000115395414],"domain_scores_gemma":[0.9971,0.0019676029,0.0005993209,0.000077536395,0.000115341965,0.00014030526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011805221,0.00061283895,0.00062901026,0.00058783626,0.00044158872,0.0010866248,0.0009112135,0.0011004453,0.002479467],"category_scores_gemma":[0.0073309843,0.0003024144,0.0007279467,0.00033396768,0.0012292379,0.0012067287,0.0009792924,0.000709668,0.00012284466],"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":[0.000127762,0.00013441287,0.009034969,0.00006577114,0.0000856681,0.00044481765,0.000089629175,0.9460791,0.0024720388,0.03653788,0.00041300827,0.004515014],"study_design_scores_gemma":[0.000052947653,0.00028925744,0.0037270105,0.000015471225,0.00009207115,0.00020432724,0.00010422358,0.9824255,0.00051006867,0.012093342,0.00046088776,0.000024839435],"about_ca_topic_score_codex":0.008609571,"about_ca_topic_score_gemma":0.0052974555,"teacher_disagreement_score":0.008609571,"about_ca_system_score_codex":0.0025001182,"about_ca_system_score_gemma":0.0016694791,"threshold_uncertainty_score":0.01813972},"labels":[],"label_agreement":null},{"id":"W2047397430","doi":"10.3934/mbe.2008.5.681","title":"Age-of-infection and the final size relation","year":2008,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Population size; Constant (computer programming); Demography; Mathematics; Population; Statistics; Epidemic model; Relation (database); Computer science; Sociology","score_opus":0.17556306511349656,"score_gpt":0.352235921781306,"score_spread":0.17667285666780946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047397430","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37176883,0.002056121,0.5602557,0.0064699706,0.00034050268,0.00014433707,0.0005501027,0.00033203687,0.058082428],"genre_scores_gemma":[0.949103,0.0012547246,0.021056868,0.0006904459,0.00021355995,0.00018007234,0.00033816107,0.00008942011,0.027073761],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937564,0.00015896914,0.0000374878,0.0001275656,0.0001245585,0.00017571646],"domain_scores_gemma":[0.9942101,0.0030321663,0.0008625272,0.00054481375,0.0008295539,0.0005208168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022096806,0.0004937683,0.0005635459,0.0010138409,0.0006253858,0.0010812357,0.0015124069,0.0010692267,0.007031491],"category_scores_gemma":[0.0108104395,0.0002673905,0.0009409398,0.00038595873,0.0016167761,0.0033340792,0.0020693187,0.0018702861,0.0012052694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006193703,0.000068939764,0.010009215,0.000099058205,0.0000331404,0.0004891754,0.00086557295,0.02420806,0.0048847566,0.94081527,0.0034573474,0.015007395],"study_design_scores_gemma":[0.000038534145,0.00017526983,0.0082430625,0.000103943516,0.00006292119,0.0010925174,0.00027898035,0.21320282,0.0025241396,0.7664601,0.007753402,0.000064321066],"about_ca_topic_score_codex":0.0019316522,"about_ca_topic_score_gemma":0.0014080529,"teacher_disagreement_score":0.007031491,"about_ca_system_score_codex":0.00084129605,"about_ca_system_score_gemma":0.00062998314,"threshold_uncertainty_score":0.023522735},"labels":[],"label_agreement":null},{"id":"W2055895796","doi":"10.3934/mbe.2009.6.363","title":"Examination of a simple model of condom usage and individual withdrawal for the HIV epidemic","year":2009,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Adolescent Sexual and Reproductive Health","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Condom; Epidemic model; Transmission (telecommunications); Action (physics); Human immunodeficiency virus (HIV); Demography; Simple (philosophy); Outbreak; Basic reproduction number; Computer science; Statistics; Econometrics; Population; Medicine; Environmental health; Virology; Mathematics; Telecommunications; Sociology","score_opus":0.12566622892760643,"score_gpt":0.3939545114338211,"score_spread":0.26828828250621467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055895796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.674366,0.0023876322,0.22915196,0.01353338,0.00043117552,0.00041686,0.0014823717,0.0005801285,0.07765047],"genre_scores_gemma":[0.9677118,0.0013354796,0.009504939,0.0006435984,0.00031382308,0.00023551313,0.00026045245,0.000057032674,0.019937338],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991111,0.000466808,0.0000244676,0.00010206391,0.00010792214,0.00018769201],"domain_scores_gemma":[0.9965149,0.002293939,0.00046657515,0.00013186072,0.0002267844,0.00036587098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002236195,0.0012054915,0.0018140621,0.0014281532,0.001175195,0.0018721547,0.0030512952,0.003968429,0.01012348],"category_scores_gemma":[0.011089927,0.0007481702,0.0018355987,0.0010567332,0.001860249,0.0026087898,0.0015687422,0.0020423275,0.0009552681],"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":[0.00028551946,0.00037689414,0.004977331,0.00017576074,0.00011282099,0.0010453882,0.00048538443,0.7173597,0.0016631767,0.26396582,0.003558768,0.0059934696],"study_design_scores_gemma":[0.0001067252,0.00010092126,0.0012942064,0.000019011215,0.00005106447,0.00014083818,0.00006630631,0.9580236,0.000055474487,0.039328754,0.0007791368,0.000034019646],"about_ca_topic_score_codex":0.01910637,"about_ca_topic_score_gemma":0.007155465,"teacher_disagreement_score":0.01910637,"about_ca_system_score_codex":0.0025335709,"about_ca_system_score_gemma":0.0023397696,"threshold_uncertainty_score":0.037990272},"labels":[],"label_agreement":null},{"id":"W2058939898","doi":"10.3934/mbe.2007.4.739","title":"The utility of preemptive mass influenza vaccination in controlling a SARS outbreak during flu season","year":2007,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Outbreak; Flu season; Vaccination; Quarantine; Medicine; Mass vaccination; Transmission (telecommunications); Population; Human mortality from H5N1; Environmental health; Pneumonia; Pandemic; Demography; Virology; Disease; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty)","score_opus":0.042246837509625976,"score_gpt":0.3486956513651085,"score_spread":0.3064488138554825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058939898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9409532,0.0003691992,0.05440088,0.00041320873,0.000021400943,0.00007052603,0.000102010206,0.00007609598,0.0035934795],"genre_scores_gemma":[0.9980242,0.00008143933,0.0015729764,0.000014254354,0.0000032511705,0.000009121099,0.000011957087,0.0000016886679,0.000281184],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999691,0.00015261109,0.0000067077126,0.000040717736,0.000028592498,0.00008046121],"domain_scores_gemma":[0.99846894,0.0011181039,0.00024292739,0.00003595454,0.00006949898,0.00006453192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011043904,0.00043507593,0.0005756944,0.0002301288,0.00032952664,0.0006077943,0.0005734012,0.00047279426,0.0005901623],"category_scores_gemma":[0.0039637308,0.00030499947,0.00039094768,0.00013107178,0.00054247933,0.00041180666,0.00039639638,0.00034568153,0.000049197588],"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":[0.00020253392,0.00004530617,0.0045461184,0.000023877838,0.000023844183,0.00007551363,0.000032330816,0.9883273,0.0014743203,0.0027743103,0.000101495185,0.0023730474],"study_design_scores_gemma":[0.000028335999,0.00016425719,0.0015630235,0.0000048849606,0.000025166268,0.000021561556,0.00002951036,0.9969072,0.00032629172,0.0008203982,0.00010408035,0.0000053295253],"about_ca_topic_score_codex":0.0357033,"about_ca_topic_score_gemma":0.019561464,"teacher_disagreement_score":0.0357033,"about_ca_system_score_codex":0.0016104386,"about_ca_system_score_gemma":0.0019254521,"threshold_uncertainty_score":0.07099098},"labels":[],"label_agreement":null},{"id":"W2059350891","doi":"10.3934/mbe.2009.6.333","title":"Mathematical analysis of a model for HIV-malaria co-infection","year":2009,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":186,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Malaria; Basic reproduction number; Human immunodeficiency virus (HIV); Reproduction; Biology; Competitive exclusion; Immunology; Mathematics; Medicine; Ecology; Population; Environmental health","score_opus":0.03250866531500815,"score_gpt":0.31430195297562863,"score_spread":0.2817932876606205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059350891","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20686233,0.0027268797,0.7273282,0.0056149126,0.00027775974,0.0002493441,0.00091489835,0.00035667265,0.05566907],"genre_scores_gemma":[0.94662124,0.0013748275,0.028125193,0.00028344206,0.00017001861,0.00037648185,0.00022256853,0.000052060906,0.02277417],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996456,0.000113151575,0.00001746049,0.000051129686,0.00009864776,0.000073885734],"domain_scores_gemma":[0.99902284,0.0005712043,0.00017453532,0.000045867622,0.00009879413,0.000086649874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006040383,0.00058875635,0.0008353187,0.00069034635,0.00088594,0.0011906589,0.0016481064,0.0015825913,0.0046129515],"category_scores_gemma":[0.0025169237,0.00037201104,0.00074092805,0.00064284477,0.0010952151,0.0014104618,0.0013614771,0.0012768753,0.0004935191],"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":[0.00004448796,0.00005994851,0.0010760294,0.00011115262,0.00005591717,0.00089420174,0.00017670396,0.57057697,0.0018363112,0.41952708,0.0018468285,0.0037943965],"study_design_scores_gemma":[0.000021314087,0.000034276243,0.00023525512,0.00001123632,0.000021427384,0.00024093098,0.000026619624,0.9521245,0.00012077741,0.04520946,0.0019397624,0.00001436484],"about_ca_topic_score_codex":0.0067376075,"about_ca_topic_score_gemma":0.0029605043,"teacher_disagreement_score":0.0067376075,"about_ca_system_score_codex":0.0016655735,"about_ca_system_score_gemma":0.0014377875,"threshold_uncertainty_score":0.015431881},"labels":[],"label_agreement":null},{"id":"W2076326718","doi":"10.3934/mbe.2009.6.603","title":"Global stability for an SEIR epidemiological model with varying infectivity and infinite delay","year":2009,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":117,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Infectivity; Stability (learning theory); Applied mathematics; Mathematics; Lyapunov function; Econometrics; Mathematical economics; Computer science; Biology; Physics; Virology; Nonlinear system","score_opus":0.052237658922237924,"score_gpt":0.31084257934226084,"score_spread":0.2586049204200229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076326718","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4191373,0.0012083445,0.56125575,0.0025227054,0.00011586347,0.00010084418,0.00037745462,0.00036212013,0.014919739],"genre_scores_gemma":[0.9824898,0.0004463222,0.008770442,0.00011906915,0.00003254617,0.000093263094,0.00008293085,0.00003080134,0.007934802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999526,0.00014945763,0.000024283821,0.00012512793,0.00007573364,0.00009927127],"domain_scores_gemma":[0.998487,0.00073239376,0.00039594944,0.000086877204,0.00018109837,0.000116788935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018879467,0.0010936289,0.0015150295,0.0010153092,0.0006786657,0.0015993249,0.0014594066,0.0017167422,0.0022129368],"category_scores_gemma":[0.0037563113,0.0005004021,0.0013240215,0.00038132188,0.0018522171,0.0015696425,0.0017049805,0.0012954768,0.00038611126],"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":[0.00034540435,0.00009231215,0.0031981643,0.00021326046,0.000222497,0.0014493304,0.00080741424,0.6858933,0.027102064,0.27132067,0.0013722691,0.007983342],"study_design_scores_gemma":[0.00004297956,0.00007444148,0.0004174793,0.000013544072,0.000038556584,0.00012457975,0.00007820895,0.9689956,0.0006474121,0.02907378,0.0004647462,0.000028735105],"about_ca_topic_score_codex":0.0048146485,"about_ca_topic_score_gemma":0.0021093294,"teacher_disagreement_score":0.0048146485,"about_ca_system_score_codex":0.0017954226,"about_ca_system_score_gemma":0.0008054751,"threshold_uncertainty_score":0.013026774},"labels":[],"label_agreement":null},{"id":"W2076668465","doi":"10.3934/mbe.2006.3.603","title":"Lyapunov functions for tuberculosis models with fast and slow progression","year":2006,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":133,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Lyapunov function; Stability theory; Tuberculosis; Basic reproduction number; Mathematics; Applied mathematics; Class (philosophy); Control theory (sociology); Mathematical economics; Computer science; Demography; Physics; Medicine; Control (management); Sociology; Artificial intelligence; Pathology","score_opus":0.013909200088784303,"score_gpt":0.24975319696897683,"score_spread":0.23584399688019253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076668465","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4331001,0.0054903063,0.52057064,0.004354481,0.00026060568,0.00009354261,0.0005826581,0.00049223966,0.035055455],"genre_scores_gemma":[0.9812965,0.0012246117,0.005353863,0.0001021783,0.00006544502,0.000107782325,0.00014206374,0.000034381428,0.011673242],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997044,0.00013640354,0.000014534107,0.00002547735,0.000058914695,0.0000603094],"domain_scores_gemma":[0.99868983,0.0007344907,0.00026821278,0.000045401972,0.00017254164,0.000089557994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096531113,0.00095867435,0.000825239,0.0009149418,0.00052266876,0.0014306518,0.0009303418,0.001273736,0.0020864427],"category_scores_gemma":[0.0045807036,0.0003369727,0.0006525002,0.0006039606,0.0007773304,0.0010591173,0.0010612907,0.0009559823,0.00038463072],"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":[0.000066933266,0.000029208313,0.0009496488,0.00006817332,0.000044515404,0.0003416565,0.00024132668,0.81771034,0.0014864509,0.17330202,0.0014787083,0.004281019],"study_design_scores_gemma":[0.000016721644,0.0000231257,0.00021227743,0.000009962245,0.00000849535,0.00003069864,0.000033843557,0.96406287,0.00006767527,0.034953345,0.00056879455,0.000012198423],"about_ca_topic_score_codex":0.0095321955,"about_ca_topic_score_gemma":0.004116631,"teacher_disagreement_score":0.0095321955,"about_ca_system_score_codex":0.0013947589,"about_ca_system_score_gemma":0.00091333437,"threshold_uncertainty_score":0.018953383},"labels":[],"label_agreement":null},{"id":"W2077708532","doi":"10.3934/mbe.2006.3.1","title":"Some simple epidemic models","year":2006,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Epidemic model; Simple (philosophy); Mathematical economics; Mathematics; Applied mathematics; Calculus (dental); Demography; Epistemology; Sociology; Population; Medicine","score_opus":0.16798245606447207,"score_gpt":0.3678291421594172,"score_spread":0.19984668609494513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077708532","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29623103,0.019636324,0.28126308,0.022939268,0.0018110698,0.00046776637,0.0029136075,0.00073297386,0.3740048],"genre_scores_gemma":[0.8941298,0.013306722,0.02725188,0.0029340822,0.0014544075,0.00032188083,0.0010158446,0.00008647543,0.059498917],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952924,0.00014540774,0.000037255828,0.00006693762,0.00014210618,0.00007895999],"domain_scores_gemma":[0.99937266,0.00024182981,0.00011593133,0.00006893254,0.00009698359,0.000103710976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007821602,0.000746656,0.000845059,0.0011267951,0.001117313,0.0018915514,0.0012372814,0.0021758284,0.005958408],"category_scores_gemma":[0.0030519194,0.00030823462,0.001286891,0.0011741589,0.0011783319,0.0023764702,0.0017537269,0.001445305,0.0010732587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019810961,0.00005247308,0.0005359696,0.00013122104,0.000032534048,0.000361206,0.00030029524,0.023723712,0.00076533045,0.9628488,0.0060089924,0.00521968],"study_design_scores_gemma":[0.000046857553,0.000040601095,0.000472848,0.00004043914,0.00002934881,0.00035902238,0.000093264636,0.07603689,0.00012794949,0.90025955,0.022463327,0.000030028412],"about_ca_topic_score_codex":0.005005596,"about_ca_topic_score_gemma":0.0026025255,"teacher_disagreement_score":0.005958408,"about_ca_system_score_codex":0.0010819276,"about_ca_system_score_gemma":0.0006606719,"threshold_uncertainty_score":0.019932866},"labels":[],"label_agreement":null},{"id":"W2079067287","doi":"10.3934/mbe.2007.4.205","title":"Modeling diseases with latency and relapse","year":2007,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Stability theory; Tuberculosis; Basic reproduction number; Extinction (optical mineralogy); Applied mathematics; Disease; Population; Bovine tuberculosis; Mathematics; Latency (audio); Population model; Biology; Statistics; Computer science; Physics; Mycobacterium tuberculosis; Medicine; Environmental health; Internal medicine","score_opus":0.01386989486538249,"score_gpt":0.2502400095786288,"score_spread":0.23637011471324632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079067287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5066337,0.003265316,0.4618813,0.005292695,0.00037426053,0.00016453766,0.00097473816,0.0005642436,0.02084916],"genre_scores_gemma":[0.9713846,0.0011816416,0.013790826,0.00022124604,0.00015953166,0.00014225404,0.0001830514,0.000036224603,0.012900616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958044,0.00011344414,0.000035163604,0.0001038531,0.000054537508,0.00011255444],"domain_scores_gemma":[0.99917114,0.00033253172,0.00024220963,0.000062504696,0.000081374375,0.00011040055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081988715,0.00072877755,0.0009001014,0.00074041495,0.0004470241,0.0015550761,0.0015426868,0.0020061561,0.00248254],"category_scores_gemma":[0.003042289,0.00043335606,0.0010985987,0.0005814108,0.00094000524,0.0018919125,0.0013830324,0.0012221291,0.00048593775],"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":[0.00015288356,0.00018583893,0.008655205,0.00015611018,0.000114740375,0.001072372,0.00047551625,0.83994246,0.005877162,0.12909654,0.0014746868,0.012796445],"study_design_scores_gemma":[0.000038257633,0.00009310238,0.0006440191,0.000017132306,0.000048239974,0.0002813734,0.00006937288,0.9599542,0.0002758769,0.036432058,0.0021251321,0.000021211234],"about_ca_topic_score_codex":0.0067980858,"about_ca_topic_score_gemma":0.0031076209,"teacher_disagreement_score":0.0067980858,"about_ca_system_score_codex":0.0011638082,"about_ca_system_score_gemma":0.0010676439,"threshold_uncertainty_score":0.013517022},"labels":[],"label_agreement":null},{"id":"W2092765595","doi":"10.3934/mbe.2006.3.445","title":"Stochastic epidemic models with a backward bifurcation","year":2006,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Stochastic modelling; Mathematics; Bistability; Bimodality; Population; Markov chain; Statistical physics; Bifurcation; Epidemic model; Applied mathematics; Stochastic differential equation; Population model; Parameter space; Nonlinear system; Statistics; Physics","score_opus":0.01692948712786582,"score_gpt":0.2366975066031954,"score_spread":0.2197680194753296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092765595","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22338149,0.0010690314,0.7535757,0.0023141683,0.00029979437,0.000109310495,0.0004451966,0.00031103156,0.018494243],"genre_scores_gemma":[0.9572653,0.00078241137,0.032645997,0.00025025336,0.00016606979,0.00020736386,0.00025304055,0.00003901829,0.008390656],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946064,0.00017550413,0.00004573141,0.00007086411,0.00016005122,0.00008729379],"domain_scores_gemma":[0.99885094,0.0005621309,0.00026038956,0.00008724161,0.0001640359,0.00007514904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000817313,0.0005212069,0.00080217834,0.00069598056,0.00035549674,0.0011576556,0.00080795307,0.0013927028,0.0012690477],"category_scores_gemma":[0.0027229178,0.00041664776,0.0012385614,0.0003854816,0.00074160984,0.0014051093,0.0011566262,0.00097431993,0.00021598773],"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":[0.000058368063,0.000063899504,0.0014275017,0.000058897927,0.000063632,0.0003566143,0.00016805473,0.6277694,0.0046062307,0.35836723,0.0011387544,0.0059213093],"study_design_scores_gemma":[0.00002337793,0.000015853442,0.0002056743,0.000007325368,0.000012990044,0.00006358739,0.000010075956,0.95205986,0.00027651808,0.046257034,0.0010554473,0.000012347263],"about_ca_topic_score_codex":0.0024017652,"about_ca_topic_score_gemma":0.0012308805,"teacher_disagreement_score":0.0024017652,"about_ca_system_score_codex":0.0010795627,"about_ca_system_score_gemma":0.00083459186,"threshold_uncertainty_score":0.007832766},"labels":[],"label_agreement":null},{"id":"W2095553384","doi":"10.3934/mbe.2007.4.1","title":"Response of equilibrium states to spatial environmental heterogeneity in advective systems","year":2007,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Alberta","funders":"","keywords":"Biological dispersal; Density dependence; Abiotic component; Population; Advection; Ecology; Population density; Functional response; Spatial ecology; Lag; Spatial heterogeneity; Predation; Perturbation (astronomy); Environmental science; Predator; Statistical physics; Biology; Physics","score_opus":0.006476281224215034,"score_gpt":0.21576438490368918,"score_spread":0.20928810367947415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095553384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.973664,0.00016237613,0.021545488,0.00089137553,0.000019139072,0.000039447244,0.00018745483,0.00016456476,0.0033261832],"genre_scores_gemma":[0.99863166,0.000051722316,0.0008430245,0.000041352683,0.0000066940643,0.000027481885,0.00006119585,0.000015466774,0.0003212837],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992331,0.0003295622,0.000041542666,0.00011925745,0.00008964381,0.00018683392],"domain_scores_gemma":[0.98888236,0.007106137,0.002018372,0.0005224795,0.00069319806,0.00077744375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018045212,0.00040811003,0.00064835657,0.0011490176,0.00097468065,0.0018633114,0.0006311812,0.00088418333,0.0026844074],"category_scores_gemma":[0.016781706,0.00052498427,0.00060592673,0.00038053334,0.0019902438,0.0022046051,0.0020378248,0.001008309,0.00015026935],"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":[0.0006169952,0.00028820848,0.06275063,0.00020519008,0.00036987438,0.000607111,0.0013197237,0.79343873,0.009613617,0.11396876,0.0024811337,0.014340069],"study_design_scores_gemma":[0.00007117051,0.00019651426,0.01992612,0.000025880416,0.000045456905,0.00009599322,0.00083056756,0.8602071,0.0011082337,0.11679091,0.00062807865,0.000073874384],"about_ca_topic_score_codex":0.0047964845,"about_ca_topic_score_gemma":0.0027237285,"teacher_disagreement_score":0.0047964845,"about_ca_system_score_codex":0.001583878,"about_ca_system_score_gemma":0.00056320167,"threshold_uncertainty_score":0.011491895},"labels":[],"label_agreement":null},{"id":"W2109959694","doi":"10.3934/mbe.2004.1.131","title":"Coexistence in a metapopulation model with explicit local dynamics","year":2004,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Purdue University; James S. McDonnell Foundation; National Science Foundation","keywords":"Metapopulation; Occupancy; Statistical physics; Extinction (optical mineralogy); Patch dynamics; Dynamics (music); Local extinction; Competition (biology); Population; Ecology; Biological system; Computer science; Physics; Biology; Biological dispersal; Habitat; Demography","score_opus":0.009539734979957543,"score_gpt":0.2118758392327723,"score_spread":0.20233610425281476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109959694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83891505,0.0011382978,0.1472574,0.00093523745,0.00006855426,0.000030805495,0.00020011014,0.0002713976,0.011183148],"genre_scores_gemma":[0.99332523,0.00020085016,0.0038144717,0.000059872065,0.000038460865,0.000033330336,0.00003812729,0.000029118963,0.0024605098],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996201,0.00017206612,0.000022612436,0.00006760426,0.00005023893,0.00006726483],"domain_scores_gemma":[0.99905044,0.00044123988,0.00019234915,0.00009203471,0.000083693136,0.00014022272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070895895,0.0005149274,0.0008639613,0.00077622785,0.0008088336,0.0016548714,0.0013937458,0.0015472281,0.0016242872],"category_scores_gemma":[0.002298252,0.0006111789,0.0010414326,0.0005887078,0.0011444521,0.002115158,0.0015813246,0.00087086926,0.00041155863],"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":[0.00020761279,0.00013011468,0.010378364,0.00011998553,0.0002360814,0.001371472,0.0008618284,0.8272646,0.0046537314,0.14714092,0.0011592468,0.006476072],"study_design_scores_gemma":[0.00004589943,0.00004825326,0.00084037083,0.000009963731,0.000041542793,0.0001268764,0.000068082605,0.96863145,0.00010640646,0.029621163,0.0004398899,0.000020014091],"about_ca_topic_score_codex":0.00623151,"about_ca_topic_score_gemma":0.0034661503,"teacher_disagreement_score":0.00623151,"about_ca_system_score_codex":0.0008706448,"about_ca_system_score_gemma":0.0005853968,"threshold_uncertainty_score":0.012390494},"labels":[],"label_agreement":null},{"id":"W2117739253","doi":"10.3934/mbe.2009.6.117","title":"An <em>in vivo</em> intermediate filament assembly model","year":2008,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Skin and Cellular Biology Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Protein filament; Biophysics; Intermediate filament; Model system; Solubilization; In vivo; Chemistry; Biology; Biological system; Cytoskeleton; Biochemistry; Cell","score_opus":0.01636361229532272,"score_gpt":0.2596195538223723,"score_spread":0.24325594152704957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117739253","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0955993,0.00070637773,0.8562384,0.0009872471,0.00016961846,0.00010140443,0.0010359595,0.000472772,0.044688955],"genre_scores_gemma":[0.86606747,0.00068776007,0.061982468,0.0002548523,0.000094756004,0.0005158921,0.0007020101,0.00012225802,0.069572516],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981207,0.00004350137,0.0000067273095,0.00005433799,0.000046427685,0.00003701065],"domain_scores_gemma":[0.9997539,0.00005115318,0.000079332225,0.000027445783,0.000044717333,0.000043410157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037508784,0.00084406027,0.0008616795,0.00042347016,0.00047883688,0.00082426926,0.0016215066,0.0018633336,0.0049548787],"category_scores_gemma":[0.00054439926,0.0003751107,0.00085921655,0.00032114648,0.00086671027,0.000852217,0.0008363374,0.0009206148,0.0011275816],"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":[0.00012816675,0.00008796449,0.00046136332,0.000118987686,0.000039143186,0.00051155745,0.00007578039,0.814158,0.031236988,0.14701723,0.0017066514,0.0044581466],"study_design_scores_gemma":[0.000022121221,0.00003573698,0.00020528,0.0000051661154,0.000010589924,0.000058225152,0.0000081719045,0.9854687,0.0013422298,0.01105342,0.0017788662,0.0000114928225],"about_ca_topic_score_codex":0.0034357654,"about_ca_topic_score_gemma":0.0013300678,"teacher_disagreement_score":0.0049548787,"about_ca_system_score_codex":0.00090957846,"about_ca_system_score_gemma":0.0005645891,"threshold_uncertainty_score":0.016575694},"labels":[],"label_agreement":null},{"id":"W2123518395","doi":"10.3934/mbe.2006.3.527","title":"Sensitivity and uncertainty analyses for a SARS model with time-varying inputs and outputs","year":2006,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Island University; University of Manitoba; University of Winnipeg","funders":"","keywords":"Sensitivity (control systems); Statistics; Basic reproduction number; Population; Econometrics; Isolation (microbiology); Transmission (telecommunications); Computer science; Mathematics; Control theory (sociology); Control (management); Medicine; Biology; Engineering; Artificial intelligence","score_opus":0.14477264688884867,"score_gpt":0.37567259350762994,"score_spread":0.23089994661878127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123518395","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2459957,0.0014592544,0.7431106,0.0018500377,0.00007312903,0.00020496483,0.00070514303,0.00036628646,0.006234809],"genre_scores_gemma":[0.9785822,0.00075164664,0.018416058,0.00013831841,0.000056892794,0.0001530473,0.00027651087,0.00006069876,0.0015646088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960848,0.0025629553,0.000120535675,0.00034484337,0.0005404801,0.0003463641],"domain_scores_gemma":[0.94358337,0.05151221,0.0023471587,0.00075453793,0.001541477,0.00026120886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010869601,0.0018905542,0.0021674547,0.0027019046,0.00090111874,0.0020499278,0.0012198536,0.0018909142,0.001598015],"category_scores_gemma":[0.035849877,0.00094693486,0.0027857213,0.0014721173,0.002052952,0.001834777,0.0021867622,0.002360184,0.00011184587],"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":[0.000029068608,0.000012373093,0.00043388354,0.00002184138,0.00004380568,0.00003992629,0.00001810835,0.9933329,0.00023049492,0.0051168385,0.00006439964,0.0006563231],"study_design_scores_gemma":[0.000006314835,0.000031754516,0.00028004576,0.000008526862,0.00002265088,0.000015400137,0.000021669613,0.992939,0.0002081161,0.0063624186,0.00008802321,0.000015937841],"about_ca_topic_score_codex":0.017122136,"about_ca_topic_score_gemma":0.004384757,"teacher_disagreement_score":0.017122136,"about_ca_system_score_codex":0.0025591857,"about_ca_system_score_gemma":0.0016466265,"threshold_uncertainty_score":0.057484686},"labels":[],"label_agreement":null},{"id":"W2124950058","doi":"10.3934/mbe.2007.4.159","title":"A final size relation for epidemic models","year":2007,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":146,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of British Columbia; University of Victoria; University of New Brunswick; University of Manitoba","funders":"","keywords":"Basic reproduction number; Relation (database); Transmission (telecommunications); Class (philosophy); Mathematics; Reproduction; Epidemic model; Mathematical model; Disease transmission; Applied mathematics; Computer science; Statistics; Biology; Ecology; Artificial intelligence; Demography; Virology","score_opus":0.29842285042989736,"score_gpt":0.41256461619718093,"score_spread":0.11414176576728358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124950058","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.069428965,0.002748945,0.801322,0.0027951135,0.00055734563,0.00012636461,0.00043788773,0.0010395837,0.12154385],"genre_scores_gemma":[0.84812295,0.0030230542,0.0720208,0.0012267072,0.0009586759,0.00044560674,0.0013442589,0.0009080019,0.07194985],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991825,0.00019330607,0.00004434124,0.00013332948,0.00027106793,0.00017540979],"domain_scores_gemma":[0.99458885,0.0027810512,0.00032273203,0.0006288728,0.0011326234,0.00054583047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017565932,0.0008422811,0.000767872,0.0017189967,0.0013072679,0.0021416405,0.0016981614,0.0016429886,0.009927861],"category_scores_gemma":[0.009098307,0.00046785641,0.0014573067,0.00056183635,0.0017442171,0.0047129802,0.0020963496,0.0026724355,0.0021731353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010919598,0.000014309993,0.00029607437,0.000048099413,0.000008220493,0.00010300199,0.00014373986,0.009046214,0.0015478499,0.9801311,0.003233991,0.0054164426],"study_design_scores_gemma":[0.000008317613,0.000029225997,0.00032674507,0.00003099364,0.000010223426,0.00016119033,0.000045767512,0.10583051,0.00089629635,0.8856441,0.006994808,0.000021769869],"about_ca_topic_score_codex":0.0016000317,"about_ca_topic_score_gemma":0.0010568504,"teacher_disagreement_score":0.009927861,"about_ca_system_score_codex":0.0013479039,"about_ca_system_score_gemma":0.00071856304,"threshold_uncertainty_score":0.033212006},"labels":[],"label_agreement":null},{"id":"W2126538698","doi":"10.3934/mbe.2008.5.403","title":"Modeling and prediction of HIV in China: transmission rates structured by infection ages","year":2008,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Transmission (telecommunications); Human immunodeficiency virus (HIV); Statistics; Disease transmission; Regression analysis; Set (abstract data type); Econometrics; Demography; Computer science; Medicine; Immunology; Virology; Mathematics; Telecommunications","score_opus":0.021566253735778345,"score_gpt":0.27546274381826674,"score_spread":0.2538964900824884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126538698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8862335,0.00040545381,0.109026454,0.0014391243,0.00003223888,0.00008239281,0.0008066107,0.0001735346,0.0018007808],"genre_scores_gemma":[0.99245524,0.00038395953,0.0046590352,0.00005037558,0.00002557523,0.0000624165,0.0002570778,0.0000179902,0.0020883332],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940634,0.0002420971,0.000027379523,0.00012787439,0.0000591197,0.00013716539],"domain_scores_gemma":[0.99746394,0.0013522893,0.0006437378,0.00012926631,0.00027579622,0.00013496392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003310235,0.0007249781,0.0008248955,0.0011358794,0.0004195891,0.00085026387,0.0017347975,0.0009997331,0.0010588231],"category_scores_gemma":[0.006364593,0.00060173526,0.00091879745,0.00079867215,0.0009517246,0.0014499024,0.00072632794,0.0007363194,0.00021832928],"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":[0.000036436515,0.000025956026,0.016673457,0.000016519438,0.00003133329,0.00008148066,0.00006479035,0.9727411,0.00022211712,0.0065823277,0.00023203559,0.0032925608],"study_design_scores_gemma":[0.0000042243014,0.000007614068,0.0015583816,0.0000017524019,0.000006151741,0.000006751883,0.000006857876,0.9969331,0.00003952665,0.0013869894,0.00004511421,0.00000351535],"about_ca_topic_score_codex":0.066172585,"about_ca_topic_score_gemma":0.022439431,"teacher_disagreement_score":0.066172585,"about_ca_system_score_codex":0.0020224797,"about_ca_system_score_gemma":0.0019471722,"threshold_uncertainty_score":0.13157487},"labels":[],"label_agreement":null},{"id":"W2135617989","doi":"10.3934/mbe.2004.1.1","title":"Critical Role of Nosocomial Transmission in the Toronto SARS Outbreak","year":2004,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; National Institutes of Health; National Science Foundation","keywords":"Outbreak; Quarantine; Transmission (telecommunications); Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Key (lock); Containment (computer programming); 2019-20 coronavirus outbreak; Medicine; Intensive care medicine; Virology; Environmental health; Geography; Computer science; Disease; Computer security; Infectious disease (medical specialty); Pathology; Telecommunications","score_opus":0.08002885464667185,"score_gpt":0.3755258914250753,"score_spread":0.29549703677840344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135617989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95573395,0.0016586138,0.013543158,0.008822186,0.00006178895,0.000038686605,0.00044264618,0.00006821155,0.01963076],"genre_scores_gemma":[0.9984646,0.00039892516,0.0003344349,0.00006970059,0.00001835094,0.0000065267513,0.0000409515,0.000004260636,0.0006622339],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997142,0.00010609392,0.00001030161,0.00003285176,0.000040195504,0.00009644461],"domain_scores_gemma":[0.99869967,0.00061986037,0.00036817283,0.000046050773,0.000079590995,0.00018666811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006011666,0.00048173187,0.0003867539,0.00042228884,0.00079165446,0.0018098163,0.0005461661,0.00083995995,0.002055663],"category_scores_gemma":[0.004391542,0.00029887998,0.00030367004,0.00029666224,0.001343048,0.0013732302,0.0010311248,0.0005972451,0.0001351566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010481788,0.0001440205,0.06895,0.0003154833,0.00023050455,0.004593623,0.003019021,0.5642389,0.01165547,0.32089415,0.009425839,0.015484756],"study_design_scores_gemma":[0.0002138696,0.0002098002,0.047978174,0.00015916252,0.00025463075,0.00067245384,0.0027325866,0.8504924,0.0018889422,0.0893254,0.005925517,0.00014713797],"about_ca_topic_score_codex":0.18675356,"about_ca_topic_score_gemma":0.109772615,"teacher_disagreement_score":0.8132464,"about_ca_system_score_codex":0.005694122,"about_ca_system_score_gemma":0.003074582,"threshold_uncertainty_score":0.37133306},"labels":[],"label_agreement":null},{"id":"W2146797230","doi":"10.3934/mbe.2008.5.277","title":"The role of feedback in the formation of morphogen territories","year":2008,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Neurobiology and Insect Physiology Research","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Institute of General Medical Sciences; National Cancer Institute","keywords":"Morphogen; Decapentaplegic; Biology; Computer science; Cell biology; Gene; Drosophila melanogaster; Genetics; Imaginal disc","score_opus":0.023011956530706448,"score_gpt":0.24769097371434942,"score_spread":0.22467901718364297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146797230","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37704903,0.00053394085,0.5952501,0.0013041398,0.00008569385,0.00007589151,0.00016621282,0.0004833783,0.025051638],"genre_scores_gemma":[0.98806083,0.00018001602,0.007219564,0.00005364508,0.000018420247,0.00006541703,0.000023386858,0.000045877103,0.00433292],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997204,0.000068518166,0.000010107731,0.000058690424,0.00007938285,0.00006291191],"domain_scores_gemma":[0.99914944,0.00045298564,0.00015748052,0.000039650433,0.000107336586,0.00009312091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006498865,0.00054819306,0.0005471668,0.00037730217,0.00070619525,0.0009982064,0.0013132303,0.0010567921,0.003330872],"category_scores_gemma":[0.0023616639,0.0004907135,0.0006364963,0.00017682236,0.0013033443,0.0019182347,0.00080612325,0.00074221956,0.00036954103],"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":[0.00012214849,0.00006533033,0.0012323249,0.00008422817,0.000038243437,0.00045163254,0.00017884342,0.8284971,0.015844824,0.14819622,0.0004965064,0.0047926],"study_design_scores_gemma":[0.000033295964,0.000035296336,0.00019575584,0.000004812327,0.000010720598,0.000044439796,0.000016714537,0.97995764,0.00070745865,0.018580845,0.00040197742,0.000010952224],"about_ca_topic_score_codex":0.0066124573,"about_ca_topic_score_gemma":0.0037541098,"teacher_disagreement_score":0.0066124573,"about_ca_system_score_codex":0.0013663046,"about_ca_system_score_gemma":0.0010029108,"threshold_uncertainty_score":0.01314795},"labels":[],"label_agreement":null},{"id":"W2312624650","doi":"10.3934/mbe.2009.6.743","title":"Novel stability results for traveling wavefronts in an age-structured reaction-diffusion equation","year":2009,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Champlain Regional College","funders":"","keywords":"Wavefront; Reaction–diffusion system; Stability (learning theory); Mathematics; Diffusion; Traveling wave; Linear stability; Single point; Population; Diffusion equation; Nonlinear system; Mathematical analysis; Applied mathematics; Physics; Computer science; Thermodynamics; Optics; Engineering","score_opus":0.062423991339313825,"score_gpt":0.30510215046750994,"score_spread":0.24267815912819612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2312624650","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0907305,0.0018438962,0.88090026,0.0017971569,0.00024118517,0.00013780981,0.00020601194,0.00016772901,0.023975505],"genre_scores_gemma":[0.8840342,0.0020641193,0.08585646,0.0004935156,0.00032705066,0.0002724658,0.00017295971,0.00009835381,0.02668091],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99976116,0.000050248127,0.00001476505,0.00004744602,0.000092334994,0.00003404245],"domain_scores_gemma":[0.9986852,0.0004996247,0.00022060165,0.000053715357,0.00043913317,0.00010165347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010263093,0.00076011877,0.0004838864,0.0008374717,0.00066073175,0.0010650798,0.0010592877,0.0012659759,0.0030362988],"category_scores_gemma":[0.0034599872,0.00025174208,0.00092997047,0.00032637914,0.0011289192,0.0014153833,0.0012446246,0.0014326662,0.00045993438],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016072037,0.00007155577,0.0019265995,0.00029378923,0.00009954793,0.000891142,0.00084369734,0.13710146,0.077825256,0.7560508,0.0033282083,0.02140717],"study_design_scores_gemma":[0.000031358402,0.000057997953,0.0006179031,0.000026127866,0.000031209885,0.00021991286,0.00009190082,0.90943366,0.0038275104,0.08310797,0.0025123581,0.00004208578],"about_ca_topic_score_codex":0.0027164447,"about_ca_topic_score_gemma":0.0008907617,"teacher_disagreement_score":0.0030362988,"about_ca_system_score_codex":0.0010612655,"about_ca_system_score_gemma":0.0008082634,"threshold_uncertainty_score":0.010157406},"labels":[],"label_agreement":null},{"id":"W2314494319","doi":"10.3934/mbe.2006.3.283","title":"Competition and Dispersal Delays in Patchy Environments","year":2006,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Biological dispersal; Competition (biology); Extinction (optical mineralogy); Competition model; Steady state (chemistry); Stability (learning theory); Statistical physics; Ecology; Physics; Biology; Computer science; Population; Chemistry; Economics","score_opus":0.008219630978589626,"score_gpt":0.22038805334911998,"score_spread":0.21216842237053035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2314494319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94385684,0.00042422686,0.051889293,0.0005807293,0.000036019,0.000013975321,0.000038569473,0.00002496241,0.003135406],"genre_scores_gemma":[0.997563,0.00008734352,0.001617003,0.00001866997,0.000011911098,0.0000096328295,0.000007359815,0.0000043427012,0.0006808622],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998173,0.000067862115,0.000011381886,0.00003125382,0.000032097887,0.00004020659],"domain_scores_gemma":[0.9975291,0.0013071736,0.00080920337,0.00006555631,0.00009376924,0.00019521991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004432706,0.00040739327,0.0002878307,0.0002842311,0.000288749,0.00062221213,0.0006174425,0.0006942142,0.0012118131],"category_scores_gemma":[0.0033174339,0.00018607099,0.00027959133,0.00027728762,0.00087514834,0.0011204734,0.0007623059,0.00056348275,0.00009561137],"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":[0.00047601675,0.0001692775,0.021049503,0.00015521902,0.00011175539,0.0028040898,0.00067149545,0.62990487,0.022799008,0.30733308,0.0009702479,0.013555507],"study_design_scores_gemma":[0.00015508718,0.00039489646,0.0067788837,0.000020949152,0.000059008344,0.00095108437,0.0002325485,0.89252615,0.0013987836,0.09526578,0.0021652516,0.00005146024],"about_ca_topic_score_codex":0.0017306932,"about_ca_topic_score_gemma":0.001556119,"teacher_disagreement_score":0.0017306932,"about_ca_system_score_codex":0.00080886594,"about_ca_system_score_gemma":0.00032665994,"threshold_uncertainty_score":0.005868733},"labels":[],"label_agreement":null},{"id":"W2315229382","doi":"10.3934/mbe.2013.10.xxv","title":"Preface to Special Issue in Honor of Carlos Castillo-Chavez","year":2013,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Honor; Population; Quarter (Canadian coin); Mathematics; Sociology; Computer science; History; Demography","score_opus":0.014323918132102636,"score_gpt":0.2581433967265162,"score_spread":0.24381947859441358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2315229382","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015139475,0.007982883,0.0003145321,0.055259887,0.92419565,0.000044849916,0.00019836478,0.000116731695,0.011735711],"genre_scores_gemma":[0.0019343686,0.01025067,0.00026285817,0.024265332,0.8691869,0.00006638101,0.0002893804,0.00020814069,0.09353588],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99856853,0.00018991923,0.00013556228,0.00030858023,0.00064224156,0.00015518224],"domain_scores_gemma":[0.99211055,0.0014018305,0.00042604972,0.00026020437,0.0035449117,0.0022565625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019069684,0.0019646594,0.0019751356,0.0015983033,0.002071219,0.005922371,0.0016497328,0.004510887,0.097528756],"category_scores_gemma":[0.012794469,0.00047839395,0.0010274143,0.0007627059,0.0007795503,0.003501593,0.0022429032,0.007382422,0.07452121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001551057,0.000009569839,0.000027970515,0.000056429617,0.0000022798658,0.000047347785,0.00001220596,0.000014182988,0.000043423624,0.00024653017,0.9938811,0.005643376],"study_design_scores_gemma":[0.000009689762,0.000020516767,0.00023662504,0.00016186747,0.00000514019,0.00023799288,0.00004659539,0.00005670174,0.00007263636,0.00060870446,0.9985349,0.000008679288],"about_ca_topic_score_codex":0.0011274854,"about_ca_topic_score_gemma":0.0017296943,"teacher_disagreement_score":0.097528756,"about_ca_system_score_codex":0.0020127506,"about_ca_system_score_gemma":0.0021126864,"threshold_uncertainty_score":0.32626617},"labels":[],"label_agreement":null},{"id":"W2316401804","doi":"10.3934/mbe.2011.8.325","title":"A model of competing saturable kinetic processes with application to thepharmacokinetics of the anticancer drug paclitaxel","year":2011,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge; University of Alberta","funders":"","keywords":"Pharmacokinetics; Exponent; Power law; Paclitaxel; Statistical physics; Crossover; Distribution (mathematics); Compartment (ship); Mathematics; Chemistry; Law; Physics; Pharmacology; Computer science; Cancer; Medicine; Statistics; Mathematical analysis; Internal medicine","score_opus":0.033860196427874224,"score_gpt":0.256565465270551,"score_spread":0.2227052688426768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316401804","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11849135,0.004270251,0.8701308,0.0014816199,0.00019155064,0.0002487083,0.0009476085,0.00035745575,0.003880684],"genre_scores_gemma":[0.89467645,0.0054841354,0.08121161,0.0005672646,0.00027339757,0.0010053529,0.0011074175,0.00019278088,0.015481657],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936014,0.000246606,0.000042727523,0.00013917213,0.00010949371,0.000101834776],"domain_scores_gemma":[0.9979761,0.0013641288,0.0003360898,0.000084000254,0.00015853441,0.000081118305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025604763,0.0014403592,0.0021715197,0.0013428918,0.00047040248,0.001837221,0.0031347882,0.0022602677,0.00232635],"category_scores_gemma":[0.0048490735,0.0007236666,0.0038832407,0.0013776991,0.00080089446,0.0018704872,0.00087708834,0.0017169784,0.00050262676],"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":[0.00020873045,0.000086411674,0.0018183045,0.00026606038,0.00040137,0.0003932813,0.00013839065,0.9414404,0.0041540843,0.04310134,0.0006425341,0.007349144],"study_design_scores_gemma":[0.000055268265,0.00014386006,0.0007401211,0.000018648816,0.00019378973,0.0001577771,0.00001876413,0.9772569,0.0005775839,0.01955703,0.0012485454,0.000031796335],"about_ca_topic_score_codex":0.008495892,"about_ca_topic_score_gemma":0.003991457,"teacher_disagreement_score":0.008495892,"about_ca_system_score_codex":0.0016771987,"about_ca_system_score_gemma":0.0016823908,"threshold_uncertainty_score":0.01689291},"labels":[],"label_agreement":null},{"id":"W2317033753","doi":"10.3934/mbe.2006.3.145","title":"Modeling spatial spread of west nile virus and impact of directional dispersal of birds","year":2006,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Viral Infections and Vectors","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Agency of Canada; York University","funders":"","keywords":"Biological dispersal; West Nile virus; Geography; Ecology; Environmental science; Biology; Virus; Virology; Demography","score_opus":0.011969837835787934,"score_gpt":0.2664447268388507,"score_spread":0.25447488900306275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317033753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7736612,0.00055950845,0.21925697,0.00072674255,0.000050882813,0.00004814457,0.0003062151,0.00011404695,0.0052762874],"genre_scores_gemma":[0.9884488,0.00029031513,0.007681644,0.00003617959,0.0000261745,0.00005357123,0.00007118469,0.000023725119,0.0033684147],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985206,0.00004782026,0.0000068347476,0.000034724344,0.000018566974,0.00003994644],"domain_scores_gemma":[0.999231,0.00046522,0.0001588537,0.000028148388,0.00005099149,0.00006580897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042876048,0.00046243297,0.0005519528,0.0003915299,0.00028650614,0.00072740926,0.0012343787,0.0013256655,0.0011566366],"category_scores_gemma":[0.0019250535,0.00045131365,0.0006329589,0.00036778112,0.0007417582,0.0010910772,0.00070335984,0.0005994116,0.00017478233],"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":[0.0000122778365,0.000009780813,0.0011971892,0.000010282249,0.000015167367,0.00005201454,0.000021261007,0.9946241,0.00047947685,0.002879227,0.00005493013,0.0006443202],"study_design_scores_gemma":[0.000004198493,0.000012420794,0.0002977561,0.000001401939,0.000004654627,0.000010224611,0.000009776472,0.9989575,0.00003602751,0.00061968877,0.000044370165,0.0000019632243],"about_ca_topic_score_codex":0.026002498,"about_ca_topic_score_gemma":0.011411037,"teacher_disagreement_score":0.026002498,"about_ca_system_score_codex":0.0010242806,"about_ca_system_score_gemma":0.0006954263,"threshold_uncertainty_score":0.05170226},"labels":[],"label_agreement":null},{"id":"W2317046588","doi":"10.3934/mbe.2008.5.585","title":"Calculation of $R_0$ for age-of-infection models","year":2008,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Basic reproduction number; Compartment (ship); Reproduction; Expression (computer science); Mathematics; Epidemic model; Statistics; Applied mathematics; Biology; Demography; Computer science; Ecology; Geology; Population","score_opus":0.306983965980373,"score_gpt":0.3952081367535623,"score_spread":0.08822417077318934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317046588","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08365912,0.0009805219,0.87968236,0.0009993167,0.00020189503,0.00013265804,0.0005423274,0.0008855013,0.032916192],"genre_scores_gemma":[0.76255506,0.0015659129,0.21516474,0.0005159269,0.0001948861,0.00048422517,0.00078512664,0.00076354423,0.017970536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991373,0.00040593572,0.000043928358,0.0000874998,0.00021580579,0.00010947347],"domain_scores_gemma":[0.99540305,0.0028060204,0.0005149994,0.0005476873,0.0004988516,0.00022943346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002659999,0.00091360643,0.0012501434,0.0015809746,0.0006421795,0.00096442166,0.003272852,0.0017664109,0.0059278565],"category_scores_gemma":[0.015791193,0.0005386991,0.0012135989,0.0007964612,0.00071885716,0.0024017103,0.0015538713,0.0016103734,0.0015478891],"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":[0.00003571968,0.00005339899,0.0011979735,0.000105132465,0.000043009553,0.000337892,0.00009408379,0.79233086,0.0015598437,0.19218801,0.0017542227,0.010299864],"study_design_scores_gemma":[0.0000059158424,0.000015493955,0.00014859489,0.000013769496,0.00001037081,0.000068761525,0.000013692839,0.9626187,0.00029105734,0.03570406,0.001092322,0.000017307026],"about_ca_topic_score_codex":0.005608595,"about_ca_topic_score_gemma":0.0037955355,"teacher_disagreement_score":0.0059278565,"about_ca_system_score_codex":0.0016667648,"about_ca_system_score_gemma":0.001367992,"threshold_uncertainty_score":0.019830644},"labels":[],"label_agreement":null},{"id":"W2317360997","doi":"10.3934/mbe.2013.10.1335","title":"Dynamics of an age-of-infection cholera model","year":2013,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cholera; Basic reproduction number; Outbreak; Dynamics (music); Biology; Mathematics; Demography; Virology; Psychology; Sociology; Population","score_opus":0.11594644190425794,"score_gpt":0.3597926677520907,"score_spread":0.24384622584783272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317360997","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.417957,0.0013350386,0.48263565,0.0069121635,0.0006191725,0.00031262363,0.0024188561,0.00059930136,0.08721014],"genre_scores_gemma":[0.9453137,0.0009273969,0.011451797,0.00038899007,0.00012471406,0.00022751928,0.00046034425,0.000045052882,0.04106045],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966145,0.00009659304,0.000019669185,0.000056685756,0.00007881739,0.00008688579],"domain_scores_gemma":[0.9994728,0.00014274793,0.00011655557,0.000044796478,0.00010019023,0.00012295974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006521443,0.00047505822,0.0008494443,0.0004749256,0.0004932083,0.0013402585,0.0018377677,0.0014095146,0.0041307067],"category_scores_gemma":[0.0019695368,0.00026850638,0.0006159633,0.0003856608,0.00096725684,0.0012490953,0.0014353135,0.0011444564,0.00059529586],"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":[0.000105549836,0.00007470741,0.0021404512,0.00008352928,0.00005079776,0.00054597954,0.00037010477,0.6607132,0.0045029246,0.32437372,0.0031068479,0.0039320216],"study_design_scores_gemma":[0.00005232393,0.00007557221,0.00047782465,0.000013925377,0.000024685522,0.00012086222,0.00007192071,0.95804495,0.00022798557,0.037213992,0.003650915,0.000025177778],"about_ca_topic_score_codex":0.012222758,"about_ca_topic_score_gemma":0.0053381594,"teacher_disagreement_score":0.012222758,"about_ca_system_score_codex":0.0013312014,"about_ca_system_score_gemma":0.0014166766,"threshold_uncertainty_score":0.024303257},"labels":[],"label_agreement":null},{"id":"W2318388350","doi":"10.3934/mbe.2015.12.661","title":"Stability and persistence in ODE modelsfor populations with many stages","year":2015,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Persistence (discontinuity); Ode; Uniqueness; Ordinary differential equation; Mathematics; Applied mathematics; Stability (learning theory); Extinction (optical mineralogy); Population; Basic reproduction number; Mathematical economics; Differential equation; Mathematical analysis; Biology; Computer science; Demography","score_opus":0.11121834728974396,"score_gpt":0.2931694679764237,"score_spread":0.18195112068667973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318388350","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33890286,0.0026891842,0.64270264,0.0024688097,0.00014170118,0.00010715096,0.00037404636,0.00016168112,0.012451971],"genre_scores_gemma":[0.96980894,0.0013081161,0.018392287,0.00011370546,0.0001466261,0.00015379918,0.00014846318,0.00003687166,0.009891181],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964607,0.0001178972,0.00002897827,0.00007138453,0.00007497248,0.000060697537],"domain_scores_gemma":[0.9989674,0.000527553,0.00026183442,0.000048843423,0.000117932155,0.00007638579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078653416,0.00091693335,0.0009417058,0.0008105881,0.00062009244,0.0016934526,0.0010278799,0.0013970308,0.001268661],"category_scores_gemma":[0.003050267,0.00040587605,0.0010336776,0.0005657373,0.0011888898,0.0015683052,0.002211984,0.001080129,0.00017759757],"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":[0.00007544193,0.000085338324,0.003604495,0.00018076741,0.00009813214,0.0005392439,0.0005099491,0.5081484,0.0115065705,0.46723905,0.001087406,0.0069252257],"study_design_scores_gemma":[0.00001610224,0.000041639047,0.0004201991,0.00001495376,0.000019267483,0.000075404685,0.00004496397,0.9094606,0.00035269093,0.08861002,0.00092573185,0.000018420404],"about_ca_topic_score_codex":0.0027783343,"about_ca_topic_score_gemma":0.002029931,"teacher_disagreement_score":0.0027783343,"about_ca_system_score_codex":0.001139058,"about_ca_system_score_gemma":0.00071498746,"threshold_uncertainty_score":0.008264482},"labels":[],"label_agreement":null},{"id":"W2318740705","doi":"10.3934/mbe.2015.12.699","title":"Bifurcation analysis and transient spatio-temporal dynamics for a diffusive plant-herbivore system with Dirichlet boundary conditions","year":2015,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Transient (computer programming); Dirichlet boundary condition; Steady state (chemistry); Bifurcation; Dirichlet distribution; Boundary (topology); Stability (learning theory); Homogeneous; State space; Boundary value problem; Mathematics; Mathematical analysis; Space (punctuation); Biological system; Control theory (sociology); Statistical physics; Physics; Computer science; Nonlinear system; Biology; Chemistry","score_opus":0.017673933140686042,"score_gpt":0.2546929087364092,"score_spread":0.23701897559572316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318740705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4979409,0.0010206676,0.48651686,0.0006116672,0.000051688745,0.00007431561,0.00011834989,0.00012133952,0.013544136],"genre_scores_gemma":[0.9876659,0.00023875346,0.0102785155,0.000024677587,0.000011591837,0.00004273993,0.00003389236,0.000010004937,0.0016940186],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998808,0.000039975872,0.00000696089,0.00002270766,0.00002613015,0.000023471617],"domain_scores_gemma":[0.9993957,0.0003676853,0.000120611745,0.000024784496,0.000052959786,0.000038167265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004224517,0.00026953156,0.0004206414,0.0007175468,0.00054927706,0.0007545642,0.00035578967,0.0006856942,0.0016708307],"category_scores_gemma":[0.0014576024,0.00017188823,0.0006429211,0.00021005205,0.00089661893,0.00055420253,0.00067882997,0.0004674176,0.00012888674],"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":[0.00017609584,0.00007918949,0.005801927,0.0002851855,0.000117014286,0.0012594758,0.00074112153,0.7133887,0.07346241,0.18931769,0.0007820345,0.014589103],"study_design_scores_gemma":[0.000009987131,0.000027154416,0.000977311,0.0000116522915,0.000017580896,0.0001302962,0.000101578386,0.9737067,0.002480347,0.022083897,0.00043688095,0.000016509128],"about_ca_topic_score_codex":0.0018174257,"about_ca_topic_score_gemma":0.00074158644,"teacher_disagreement_score":0.0018174257,"about_ca_system_score_codex":0.00064515596,"about_ca_system_score_gemma":0.00037502917,"threshold_uncertainty_score":0.005589485},"labels":[],"label_agreement":null},{"id":"W2319826935","doi":"10.3934/mbe.2014.11.1045","title":"Optimal control of vaccination dynamics during an influenza epidemic","year":2014,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; McGill University","funders":"","keywords":"Vaccination; Vaccine efficacy; Herd immunity; Population; Epidemic model; Immunization; Medicine; Influenza vaccine; Immunology; Environmental health; Immune system","score_opus":0.030029021323234532,"score_gpt":0.334821742609268,"score_spread":0.30479272128603346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319826935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67076355,0.00068771903,0.32034662,0.00086593017,0.00007584771,0.00011004616,0.00012810824,0.00022130791,0.0068008234],"genre_scores_gemma":[0.99143183,0.00016825413,0.007396108,0.000056114855,0.000014029692,0.000040705505,0.000036305875,0.000014115273,0.0008425071],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995498,0.0001583575,0.000020681355,0.00010531725,0.000050017126,0.00011570445],"domain_scores_gemma":[0.9980348,0.0011206248,0.00046314253,0.000064605694,0.00018147736,0.0001353373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013724845,0.0006342959,0.00095818314,0.00052067783,0.00038780834,0.0010321391,0.0007784387,0.0009320128,0.001048753],"category_scores_gemma":[0.005348773,0.00050720875,0.00056004815,0.00021992403,0.0010565313,0.0010459522,0.00074445695,0.0007464834,0.00011716878],"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":[0.000078897036,0.000043310913,0.001483152,0.000043517928,0.000038830167,0.000063828214,0.00006282319,0.9784853,0.0051489305,0.009889326,0.00027722513,0.0043848455],"study_design_scores_gemma":[0.00002192198,0.00006310596,0.00059450936,0.0000067757674,0.000014093712,0.000010012598,0.000024362458,0.9945209,0.0004948689,0.0040560905,0.0001846448,0.000008779146],"about_ca_topic_score_codex":0.011185876,"about_ca_topic_score_gemma":0.004813776,"teacher_disagreement_score":0.011185876,"about_ca_system_score_codex":0.0014966932,"about_ca_system_score_gemma":0.0016295003,"threshold_uncertainty_score":0.022241533},"labels":[],"label_agreement":null},{"id":"W2319899473","doi":"10.3934/mbe.2008.5.437","title":"Existence of multiple-stable equilibria for a multi-drug-resistant model of mycobacterium tuberculosis","year":2008,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Basic reproduction number; Bifurcation; Stability theory; Tuberculosis; Mycobacterium tuberculosis; Stability (learning theory); Strain (injury); Mathematical economics; Mathematics; Applied mathematics; Statistical physics; Biology; Physics; Computer science; Demography; Population; Medicine; Nonlinear system","score_opus":0.07013859244534824,"score_gpt":0.28710811008926024,"score_spread":0.21696951764391198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319899473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5964361,0.00202638,0.34864786,0.0040198085,0.00016744697,0.00015404828,0.00049936847,0.00033994886,0.047709033],"genre_scores_gemma":[0.98196006,0.00036940712,0.0071163336,0.00009800878,0.00003004297,0.00012077459,0.00008118452,0.000022933324,0.010201185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997192,0.00010570874,0.000016464364,0.00005070902,0.000057632296,0.000050220442],"domain_scores_gemma":[0.9991703,0.00032518015,0.00023910833,0.000045439327,0.00010733832,0.00011274907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005721415,0.00062895246,0.0008922483,0.0007055582,0.00078744977,0.0015524189,0.0016778056,0.002087846,0.0032890802],"category_scores_gemma":[0.0024429893,0.0003836354,0.00081622147,0.0004039705,0.0010862149,0.001207383,0.0019023011,0.00087767193,0.00053835264],"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":[0.00028116937,0.00014140429,0.0037493038,0.00015384918,0.00012401995,0.0014241899,0.000731047,0.79834497,0.009508663,0.18052569,0.001041149,0.0039745565],"study_design_scores_gemma":[0.00006776567,0.00006583745,0.00038011587,0.00001545163,0.000020757136,0.000102198275,0.00007075308,0.98432654,0.00022004309,0.013777892,0.00093714363,0.00001546018],"about_ca_topic_score_codex":0.0084933145,"about_ca_topic_score_gemma":0.004688362,"teacher_disagreement_score":0.0084933145,"about_ca_system_score_codex":0.0014525446,"about_ca_system_score_gemma":0.0007917997,"threshold_uncertainty_score":0.016887724},"labels":[],"label_agreement":null},{"id":"W2320114104","doi":"10.3934/mbe.2004.1.267","title":"An Age-Structured Model of HIV Infection that Allows for Variations in the Production Rate of Viral Particles and the Death Rate of Productively Infected Cells","year":2004,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":164,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Viral load; Production (economics); Human immunodeficiency virus (HIV); Stability (learning theory); Ordinary differential equation; Virology; Production rate; Function (biology); Generalization; Viral infection; Biology; Mortality rate; Virus; Mathematics; Immunology; Statistical physics; Applied mathematics; Physics; Computer science; Differential equation; Medicine; Cell biology; Mathematical analysis","score_opus":0.029887899245578577,"score_gpt":0.26753796922144696,"score_spread":0.23765006997586838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320114104","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43228263,0.0013246483,0.5420143,0.0020216405,0.00022661984,0.00021829698,0.0015737407,0.00024784933,0.020090248],"genre_scores_gemma":[0.9469619,0.0012010598,0.027868092,0.00029138167,0.00016221529,0.0002904924,0.00043660426,0.00003819392,0.022750061],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963665,0.00009539325,0.000020796087,0.00009653539,0.0000780874,0.00007247149],"domain_scores_gemma":[0.9991098,0.0003649471,0.0002462705,0.00008159147,0.00011013719,0.000087204244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005759886,0.00064962206,0.0007759646,0.00058175944,0.00039285942,0.00095653307,0.0017250428,0.0019226484,0.0021132003],"category_scores_gemma":[0.0018279604,0.0003721909,0.0009773267,0.0005741152,0.00091468997,0.0014267097,0.0007593366,0.0011783656,0.0004964794],"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":[0.00009415865,0.0001604022,0.0034546673,0.000093234084,0.00006597411,0.00066556456,0.00026678905,0.8718108,0.014716626,0.10209288,0.0008505572,0.0057284115],"study_design_scores_gemma":[0.000041167852,0.00008584471,0.000965603,0.00000830936,0.000034243945,0.00021548514,0.000026171398,0.9749317,0.00059899705,0.021797342,0.0012704165,0.000024679837],"about_ca_topic_score_codex":0.0049765897,"about_ca_topic_score_gemma":0.0026808695,"teacher_disagreement_score":0.0049765897,"about_ca_system_score_codex":0.0009432736,"about_ca_system_score_gemma":0.0009820777,"threshold_uncertainty_score":0.009895265},"labels":[],"label_agreement":null},{"id":"W2320932010","doi":"10.3934/mbe.2014.11.1175","title":"Disease dynamics for the hometown of migrant workers","year":2014,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Dynamics (music); Constant (computer programming); Population; Stability theory; Work (physics); Differential equation; Mathematics; Disease; Applied mathematics; Mathematical analysis; Demography; Computer science; Physics; Nonlinear system; Sociology; Medicine","score_opus":0.015541623441931333,"score_gpt":0.25678804951284867,"score_spread":0.24124642607091734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320932010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9649353,0.0010167616,0.029244782,0.0011372907,0.0000618466,0.000018795405,0.00013672233,0.000030124187,0.0034184044],"genre_scores_gemma":[0.9920425,0.00050099636,0.0019030144,0.000049734055,0.000022923778,0.000013558102,0.000054965018,0.0000047369726,0.005407588],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999485,0.000009861534,0.000001925292,0.000017646213,0.0000063999337,0.00001563195],"domain_scores_gemma":[0.99983346,0.00004798117,0.000047989455,0.000008322029,0.00002678303,0.000035394518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001860866,0.000239041,0.00031472047,0.00037426862,0.00035361957,0.0007239067,0.0004492617,0.00061991403,0.002402781],"category_scores_gemma":[0.0008261588,0.00014140016,0.00046949158,0.00017998542,0.00047499393,0.00070139696,0.0006525802,0.00047579056,0.00018659992],"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":[0.00061781105,0.00027781675,0.15586834,0.00047576433,0.00034522594,0.0072704237,0.004218093,0.38249588,0.072383605,0.30501372,0.010000211,0.061033063],"study_design_scores_gemma":[0.00010765395,0.00031860848,0.025550226,0.00006113555,0.00015555689,0.0020842135,0.0015418789,0.89903665,0.0037124716,0.058927204,0.008435042,0.00006933501],"about_ca_topic_score_codex":0.007047176,"about_ca_topic_score_gemma":0.0032557393,"teacher_disagreement_score":0.007047176,"about_ca_system_score_codex":0.0005056397,"about_ca_system_score_gemma":0.00027356905,"threshold_uncertainty_score":0.014012337},"labels":[],"label_agreement":null},{"id":"W2321237113","doi":"10.3934/mbe.2013.10.399","title":"Competition of motile and immotile bacterial strains in a petri dish","year":2013,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Petri dish; Motility; Competition (biology); Chemotaxis; Biology; Bacteria; Biological system; Strain (injury); Microbiology; Ecology; Cell biology; Receptor; Anatomy; Genetics","score_opus":0.015992171121618985,"score_gpt":0.23965083382085617,"score_spread":0.22365866269923718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321237113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8916191,0.0006092075,0.0954844,0.00040940844,0.00013667924,0.000084010084,0.000386653,0.00011650437,0.011154111],"genre_scores_gemma":[0.96642405,0.00040238333,0.026645346,0.00011166261,0.000020554462,0.00008144246,0.00020884493,0.000017890758,0.006087865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950683,0.000056409037,0.000030675412,0.00012782421,0.0001687772,0.000109491084],"domain_scores_gemma":[0.9986671,0.0006148564,0.00033554752,0.00008681369,0.00012559332,0.00016996227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042386496,0.00093965506,0.000908317,0.00068831805,0.00068043085,0.0010530179,0.0014911281,0.0012957125,0.0018918513],"category_scores_gemma":[0.0010358533,0.00041304476,0.00081881287,0.0003969349,0.0008036596,0.0006273671,0.0011538573,0.0008804674,0.0003401849],"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":[0.0004375603,0.00032089162,0.010744173,0.000423821,0.00014978196,0.0017838341,0.00025793075,0.4927317,0.44205126,0.042294737,0.0008308774,0.007973583],"study_design_scores_gemma":[0.000048083464,0.00026204344,0.0028561377,0.000015536689,0.00005079541,0.00018301397,0.00009527166,0.947485,0.044008974,0.004107262,0.00083060534,0.000057323956],"about_ca_topic_score_codex":0.006896924,"about_ca_topic_score_gemma":0.004905552,"teacher_disagreement_score":0.006896924,"about_ca_system_score_codex":0.0009201247,"about_ca_system_score_gemma":0.0008075671,"threshold_uncertainty_score":0.013713539},"labels":[],"label_agreement":null},{"id":"W2321270711","doi":"10.3934/mbe.2013.10.1687","title":"Carlos is a Canadian","year":2013,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"HIV/AIDS Impact and Responses","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Environmental science","score_opus":0.018415033566456948,"score_gpt":0.1910161258354829,"score_spread":0.17260109226902592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321270711","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026620133,0.007509015,0.006860216,0.21269563,0.008053302,0.00007190726,0.0015905434,0.00033083177,0.73626834],"genre_scores_gemma":[0.39712536,0.007054128,0.00455464,0.04536105,0.0011446825,0.000036729147,0.0004460434,0.00021333204,0.544064],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99791795,0.00018488667,0.000048686274,0.0004906904,0.00078995526,0.0005679336],"domain_scores_gemma":[0.99521023,0.00036794198,0.00021561787,0.0001855832,0.002517933,0.0015027188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015691695,0.00033946146,0.0006484808,0.0010358621,0.012323348,0.0066647697,0.000573213,0.0023346029,0.03396297],"category_scores_gemma":[0.005716299,0.00029094424,0.0005510545,0.0011882161,0.003463254,0.0017932439,0.0015936224,0.0031681587,0.0042599374],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010298509,0.000024769515,0.0060839895,0.00009666041,0.000044640645,0.00068034435,0.0016660864,0.0003620114,0.0006142127,0.6905066,0.2653818,0.034435987],"study_design_scores_gemma":[0.000011949608,0.000010405253,0.0027874717,0.000104543746,0.00002216572,0.00036422082,0.001118588,0.0003382211,0.0003052637,0.021119017,0.97376764,0.000050451657],"about_ca_topic_score_codex":0.8863896,"about_ca_topic_score_gemma":0.90681475,"teacher_disagreement_score":0.11361039,"about_ca_system_score_codex":0.025847362,"about_ca_system_score_gemma":0.053901188,"threshold_uncertainty_score":0.2285589},"labels":[],"label_agreement":null},{"id":"W2321622596","doi":"10.3934/mbe.2006.3.161","title":"Epidemic threshold conditions for seasonally forced SEIR models","year":2006,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":157,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Basic reproduction number; Extinction (optical mineralogy); Reproduction; Outbreak; Mathematics; Biology; Bar (unit); Statistics; Applied mathematics; Demography; Ecology; Physics; Meteorology; Virology; Population","score_opus":0.1922931694678726,"score_gpt":0.38799742139089843,"score_spread":0.19570425192302585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321622596","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40493733,0.0012890842,0.5339179,0.0019296105,0.00015858872,0.00014824828,0.0005319116,0.0008037575,0.056283653],"genre_scores_gemma":[0.98570687,0.00040010404,0.008670391,0.00020886284,0.00005690965,0.00008933247,0.00016763405,0.000065885906,0.004634017],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993548,0.00011500054,0.000057749687,0.000097589545,0.00016907243,0.00020574688],"domain_scores_gemma":[0.9977188,0.0009584819,0.0005302845,0.00016969127,0.0003332704,0.00028943134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010996489,0.0004738288,0.0008467138,0.001077518,0.00051834696,0.0012961482,0.0012255528,0.0010309588,0.004496482],"category_scores_gemma":[0.0058101844,0.00028548038,0.0011155003,0.0002922503,0.0008488581,0.0018630363,0.0017141144,0.001198971,0.0005766549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010322151,0.00013088428,0.004570757,0.00019113853,0.00008445158,0.0011013906,0.000790465,0.17430127,0.019209703,0.7858598,0.003909486,0.009747368],"study_design_scores_gemma":[0.00003952784,0.00005744535,0.0013056025,0.00003949988,0.000035679997,0.00041938174,0.00019427139,0.76306236,0.001789131,0.23095307,0.0020641277,0.00003984964],"about_ca_topic_score_codex":0.002144045,"about_ca_topic_score_gemma":0.0010998343,"teacher_disagreement_score":0.004496482,"about_ca_system_score_codex":0.0008924179,"about_ca_system_score_gemma":0.0008107685,"threshold_uncertainty_score":0.015042245},"labels":[],"label_agreement":null},{"id":"W2321729336","doi":"10.3934/mbe.2008.5.85","title":"Nonlinear stability of traveling wavefronts in an age-structured reaction-diffusion population model","year":2008,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Champlain Regional College; University of Alberta","funders":"","keywords":"Wavefront; Reaction–diffusion system; Perturbation (astronomy); Nonlinear system; Exponential stability; Exponential growth; Mathematics; Population; Population model; Applied mathematics; Mathematical analysis; Stability (learning theory); Exponential function; Linear stability; Statistical physics; Physics; Computer science; Optics","score_opus":0.04401339612973136,"score_gpt":0.28379423464756165,"score_spread":0.23978083851783027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321729336","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38548225,0.0009256826,0.600122,0.001663034,0.000094860436,0.00009428402,0.00021307995,0.00015401875,0.011250892],"genre_scores_gemma":[0.9646439,0.00076712196,0.021590497,0.00013907823,0.00005986993,0.00013173527,0.0001080227,0.000031518983,0.0125282435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972075,0.00007547719,0.000013881499,0.0000677406,0.00006729162,0.000054805718],"domain_scores_gemma":[0.9992742,0.00029427998,0.00020327997,0.000031262472,0.00013294339,0.00006411756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008503432,0.0007885897,0.0007307568,0.0007616988,0.0005822038,0.001137786,0.0017811958,0.0019554296,0.0015482495],"category_scores_gemma":[0.002259701,0.0004075174,0.0009283074,0.0004594835,0.0014032519,0.0015138901,0.0011334108,0.0009390595,0.00024216634],"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":[0.00013926708,0.000056400884,0.0027015258,0.00013608146,0.00010451672,0.0006321177,0.00048325234,0.77821213,0.022078454,0.18901034,0.0006924631,0.0057534142],"study_design_scores_gemma":[0.000014857699,0.000017173918,0.00017621498,0.0000037950465,0.000011531023,0.000035165674,0.000025832715,0.98986524,0.00039155263,0.009242119,0.00020316718,0.000013333492],"about_ca_topic_score_codex":0.0077220113,"about_ca_topic_score_gemma":0.0019602505,"teacher_disagreement_score":0.0077220113,"about_ca_system_score_codex":0.001210875,"about_ca_system_score_gemma":0.00085227715,"threshold_uncertainty_score":0.0153541565},"labels":[],"label_agreement":null},{"id":"W2322364640","doi":"10.3934/mbe.2011.8.695","title":"Persistent high incidence of tuberculosis among immigrants in a low-incidence country: Impact of immigrants with early or late latency","year":2011,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Immigration; Tuberculosis; Incidence (geometry); Latency (audio); Demography; Medicine; Public health; Developing country; New immigrants; Environmental health; Demographic economics; Geography; Economic growth; Computer science; Economics; Sociology; Pathology; Telecommunications","score_opus":0.01645231977966472,"score_gpt":0.24606692695447363,"score_spread":0.22961460717480892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322364640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98598576,0.0008086704,0.008872504,0.0011398307,0.000064859465,0.000027545851,0.00015156707,0.000023801535,0.002925548],"genre_scores_gemma":[0.9976139,0.00047317691,0.00070469273,0.00007238288,0.000024489857,0.000015745482,0.000059985596,0.000004340372,0.001031274],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967086,0.00016650448,0.000011390729,0.0000410372,0.00002081178,0.00008936991],"domain_scores_gemma":[0.9986065,0.0008089942,0.00027766934,0.000049910628,0.00008991455,0.00016704635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007307676,0.0005520307,0.0006657201,0.00037154744,0.00051919994,0.0016852602,0.00072167657,0.0010442043,0.0020421953],"category_scores_gemma":[0.003333141,0.00024486677,0.00092203566,0.0003045114,0.0008687981,0.0009307154,0.0015462472,0.00071763265,0.00014071165],"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":[0.0010147083,0.0005587627,0.14973205,0.00030673112,0.0004499547,0.0040446813,0.0005449211,0.7845106,0.0059680874,0.0381256,0.0015252302,0.013218631],"study_design_scores_gemma":[0.00014908848,0.0005788853,0.020658143,0.000057350273,0.0003051416,0.0005732488,0.0010544332,0.9632324,0.00083626946,0.011821081,0.000669928,0.00006401828],"about_ca_topic_score_codex":0.015828766,"about_ca_topic_score_gemma":0.0085879695,"teacher_disagreement_score":0.015828766,"about_ca_system_score_codex":0.0007926709,"about_ca_system_score_gemma":0.0012862367,"threshold_uncertainty_score":0.03147328},"labels":[],"label_agreement":null},{"id":"W2322943543","doi":"10.3934/mbe.2011.8.889","title":"Controlling malaria with indoor residual spraying in spatially heterogenous environments","year":2011,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Indoor residual spraying; Residual; Malaria; Advection; Environmental science; Meteorology; Computer science; Geography; Biology; Physics","score_opus":0.027480039457464214,"score_gpt":0.2280081616711637,"score_spread":0.20052812221369948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322943543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7112958,0.0005968791,0.28277978,0.00055234996,0.00003270417,0.000041795578,0.00005698549,0.00012300277,0.0045206454],"genre_scores_gemma":[0.99148095,0.00024740907,0.0073029655,0.000028101249,0.000011862549,0.000014486447,0.000011813237,0.000005880374,0.00089659484],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970335,0.00010751671,0.00001385207,0.000050269,0.00006534939,0.00005966728],"domain_scores_gemma":[0.9992623,0.00032950955,0.00028072932,0.00005290991,0.000034991728,0.000039545386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004927978,0.00030308837,0.00052740576,0.0004561089,0.00016695067,0.00060593593,0.00079750776,0.0006326154,0.00037733364],"category_scores_gemma":[0.0017939396,0.00029135673,0.00065402495,0.00024088412,0.0009634946,0.0007316944,0.0008914868,0.00040949095,0.00007525746],"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":[0.00009204836,0.00014517717,0.0048041195,0.00010261061,0.00007068774,0.00036922176,0.00016516722,0.9103448,0.021223998,0.047723092,0.0002851804,0.014673917],"study_design_scores_gemma":[0.000024489058,0.00012256352,0.0012886546,0.0000054735624,0.000023830644,0.00006805209,0.00003244304,0.9830073,0.0016394706,0.013590185,0.00018492162,0.00001254403],"about_ca_topic_score_codex":0.0021232176,"about_ca_topic_score_gemma":0.0018389462,"teacher_disagreement_score":0.0021232176,"about_ca_system_score_codex":0.0005788755,"about_ca_system_score_gemma":0.0003903061,"threshold_uncertainty_score":0.0042217374},"labels":[],"label_agreement":null},{"id":"W2323457491","doi":"10.3934/mbe.2011.8.1099","title":"Dynamics of a delay Schistosomiasis model in snail infections","year":2011,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Parasites and Host Interactions","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Hopf bifurcation; Delay differential equation; Schistosomiasis; Bifurcation; Transmission (telecommunications); Saddle-node bifurcation; Mathematics; Control theory (sociology); Dynamics (music); Applied mathematics; Differential equation; Physics; Mathematical analysis; Computer science; Biology; Nonlinear system; Control (management); Telecommunications; Immunology","score_opus":0.0211720932110882,"score_gpt":0.24766439948256358,"score_spread":0.22649230627147537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2323457491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86540407,0.00086880045,0.10866621,0.0015175897,0.00010110391,0.00009545643,0.0007072027,0.00023418352,0.022405442],"genre_scores_gemma":[0.98621297,0.00041456337,0.0032018558,0.000049186056,0.000024404866,0.00007463169,0.00013111817,0.000015965206,0.009875323],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988675,0.000032940385,0.000007001157,0.000025993357,0.000021673903,0.000025600426],"domain_scores_gemma":[0.99975544,0.0000581972,0.000080070706,0.000011597956,0.000035802113,0.000058871086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024264914,0.00044184853,0.00070284965,0.00041807033,0.00047515423,0.00094104564,0.0008094519,0.00093444024,0.0032174534],"category_scores_gemma":[0.0006837852,0.00025632785,0.00050274626,0.00026935895,0.0007493504,0.0008723601,0.00086002215,0.0005818781,0.00026095932],"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":[0.0002387011,0.000101580605,0.004316735,0.00012884956,0.000102355145,0.0013431261,0.00031387774,0.89406466,0.01657254,0.07942891,0.00086617575,0.002522491],"study_design_scores_gemma":[0.00006425814,0.000100596,0.0007927096,0.000009365839,0.00003158982,0.00012445972,0.00005460221,0.98957217,0.00040846327,0.008031449,0.00078893115,0.000021588683],"about_ca_topic_score_codex":0.009224589,"about_ca_topic_score_gemma":0.0033359001,"teacher_disagreement_score":0.009224589,"about_ca_system_score_codex":0.0008817171,"about_ca_system_score_gemma":0.0007915315,"threshold_uncertainty_score":0.01834178},"labels":[],"label_agreement":null},{"id":"W2324250247","doi":"10.3934/mbe.2014.11.1295","title":"Epidemic models for complex networks with demographics","year":2014,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Basic reproduction number; Demographics; Stability theory; Reproduction; Epidemic model; Population; Transmission (telecommunications); Demography; Mathematics; Applied mathematics; Statistics; Econometrics; Biology; Computer science; Ecology; Physics","score_opus":0.22525640247630077,"score_gpt":0.36953237527296473,"score_spread":0.14427597279666396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2324250247","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07323161,0.003964782,0.89639944,0.0036416347,0.00029725785,0.00014813824,0.00054480566,0.00016730916,0.021605063],"genre_scores_gemma":[0.8864817,0.010689369,0.076611675,0.0011018587,0.00089270057,0.0005769774,0.0005402232,0.00006835717,0.023037145],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996542,0.00014790027,0.000017233024,0.0000731094,0.00007834268,0.000029293513],"domain_scores_gemma":[0.99925977,0.00034394243,0.0001972174,0.00004206115,0.00011373874,0.000043223958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000661711,0.0006369863,0.00050204375,0.0008019052,0.0005182274,0.00095175504,0.00065146753,0.0010586178,0.0016433211],"category_scores_gemma":[0.0026322862,0.00026831165,0.0006256871,0.00069782493,0.0007109176,0.0022870393,0.0008852953,0.00096312654,0.00035800054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012615044,0.000040989304,0.0017370089,0.00014799564,0.000055937006,0.0003734312,0.0003274872,0.2710248,0.0026600247,0.712705,0.0031573381,0.0077574127],"study_design_scores_gemma":[0.000018684741,0.00003385852,0.0006951605,0.000028905815,0.000025801892,0.00032044208,0.0000975018,0.7053675,0.00019604621,0.28304592,0.010145295,0.000024789952],"about_ca_topic_score_codex":0.0024313014,"about_ca_topic_score_gemma":0.0017839236,"teacher_disagreement_score":0.0024313014,"about_ca_system_score_codex":0.00083628716,"about_ca_system_score_gemma":0.0005770939,"threshold_uncertainty_score":0.0060676932},"labels":[],"label_agreement":null},{"id":"W2325225978","doi":"10.3934/mbe.2014.11.1091","title":"Dynamics of evolutionary competition between budding and lytic viral release strategies","year":2014,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Lytic cycle; Budding; Virus; Biology; Competition (biology); Virology; Cell biology; Ecology","score_opus":0.004393565661676119,"score_gpt":0.21549650365081785,"score_spread":0.21110293798914173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325225978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8491975,0.0005736268,0.13054875,0.0013327922,0.000060135157,0.00007816386,0.00013927439,0.0000719806,0.017997889],"genre_scores_gemma":[0.9874077,0.0002152293,0.00555621,0.00008775846,0.000021206037,0.00006149093,0.000049485083,0.000014965499,0.006585888],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953425,0.000115416435,0.000019056348,0.0000904519,0.00009867968,0.00014216002],"domain_scores_gemma":[0.99890935,0.0004734352,0.0002283488,0.000041604962,0.00011076822,0.00023650279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092577515,0.00053470687,0.0008942875,0.00060973136,0.0007310525,0.0016893196,0.0013005084,0.0017806989,0.0039072926],"category_scores_gemma":[0.003282646,0.00034697284,0.0007433819,0.00032050844,0.0010615689,0.0020984625,0.0013278377,0.000924316,0.00031832382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027602864,0.00011912354,0.011693686,0.00017295816,0.0001312763,0.0015987268,0.00048487037,0.41198432,0.035919406,0.5256061,0.0012111141,0.010802435],"study_design_scores_gemma":[0.00006208109,0.00010917184,0.0020512294,0.000013973194,0.000038104914,0.0003215107,0.00014155694,0.9477547,0.0011951138,0.04691471,0.0013529762,0.000044904213],"about_ca_topic_score_codex":0.0034102385,"about_ca_topic_score_gemma":0.0017597291,"teacher_disagreement_score":0.0039072926,"about_ca_system_score_codex":0.0014922674,"about_ca_system_score_gemma":0.000898464,"threshold_uncertainty_score":0.013071179},"labels":[],"label_agreement":null},{"id":"W2326120174","doi":"10.3934/mbe.2008.5.429","title":"The effect of patterns of infectiousness on epidemic size","year":2008,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Population size; Infectious disease (medical specialty); Epidemic model; Population; Mathematics; Demography; Statistics; Disease; Medicine","score_opus":0.0779289457941946,"score_gpt":0.3531576764433137,"score_spread":0.2752287306491191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326120174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838022,0.00038560075,0.008098441,0.00047628031,0.000023418703,0.000016642174,0.00012731442,0.000060439077,0.0070096394],"genre_scores_gemma":[0.9987231,0.000105138155,0.0006749643,0.000030297408,0.000013608736,0.000008372091,0.000043730615,0.000018981904,0.00038182174],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885464,0.00046782763,0.00009931305,0.00027974986,0.00014596585,0.0001525234],"domain_scores_gemma":[0.97036284,0.02110587,0.0034636124,0.0027410917,0.0011851306,0.0011414856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018314273,0.00033874833,0.00039681417,0.0008585913,0.0003541717,0.0016989867,0.00061441807,0.00096402294,0.002050401],"category_scores_gemma":[0.03196188,0.0004423829,0.00034815804,0.0005050277,0.0012950394,0.0020515714,0.0010887687,0.0008371175,0.00032590248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00315536,0.0009793498,0.42293736,0.0005433573,0.0008771897,0.002233225,0.00266041,0.11195936,0.20019662,0.11185421,0.002826264,0.1397773],"study_design_scores_gemma":[0.00024045928,0.0009794172,0.6444775,0.00012434075,0.00043729687,0.0025325017,0.0012035056,0.17549255,0.027179126,0.14433488,0.0027868133,0.00021157289],"about_ca_topic_score_codex":0.0006464026,"about_ca_topic_score_gemma":0.00052481267,"teacher_disagreement_score":0.002050401,"about_ca_system_score_codex":0.00055235415,"about_ca_system_score_gemma":0.00034989446,"threshold_uncertainty_score":0.009685636},"labels":[],"label_agreement":null},{"id":"W2326765266","doi":"10.3934/mbe.2011.8.711","title":"Modeling the effects of carriers on transmission dynamics of infectious diseases","year":2011,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Manitoba","funders":"","keywords":"Basic reproduction number; Transmission (telecommunications); Infectious disease (medical specialty); Disease transmission; Dynamics (music); Epidemic model; Mathematical modelling of infectious disease; Statistical physics; Disease; Virology; Computer science; Biology; Physics; Medicine; Telecommunications; Environmental health; Population","score_opus":0.06429973098038118,"score_gpt":0.3139408710501676,"score_spread":0.24964114006978644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326765266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.551887,0.0015816544,0.40432042,0.0022745554,0.00022363146,0.00015250267,0.00046086748,0.0003141889,0.038785167],"genre_scores_gemma":[0.97943544,0.0008630106,0.009362791,0.00008036195,0.000060675717,0.00006270639,0.000099165365,0.000031491596,0.01000425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996575,0.0001454537,0.000014399617,0.000051442443,0.000043920434,0.00008718384],"domain_scores_gemma":[0.9990163,0.0005696635,0.00020769265,0.000043890122,0.00008197746,0.000080488826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068803603,0.0009599339,0.000884799,0.00069030793,0.0004719039,0.0012532616,0.0014736763,0.0017725546,0.0021543845],"category_scores_gemma":[0.0033469845,0.00037344728,0.00078001065,0.0006915695,0.0009983035,0.0018276749,0.0011268712,0.00079710054,0.00039754758],"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":[0.00006848365,0.00008569866,0.002363959,0.00005740267,0.000030925337,0.00042965502,0.00017201738,0.92748034,0.0019875215,0.061786916,0.00071247626,0.0048245904],"study_design_scores_gemma":[0.000008676192,0.000051709856,0.00015685815,0.0000064468672,0.000013660701,0.000048688966,0.00002801644,0.9932769,0.00011081109,0.005981345,0.00030874787,0.000008170015],"about_ca_topic_score_codex":0.010325687,"about_ca_topic_score_gemma":0.0039520534,"teacher_disagreement_score":0.010325687,"about_ca_system_score_codex":0.0008407575,"about_ca_system_score_gemma":0.0010497936,"threshold_uncertainty_score":0.020531178},"labels":[],"label_agreement":null},{"id":"W2328982500","doi":"10.3934/mbe.2012.9.819","title":"Global stability for an SEI epidemiological model with continuous age-structure in the exposed and infectious classes","year":2012,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":119,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Basic reproduction number; Stability theory; Smoothness; Lyapunov function; Epidemic model; Exponential stability; Applied mathematics; Mathematics; Stability (learning theory); Infectious disease (medical specialty); Persistence (discontinuity); Tuberculosis; Pure mathematics; Disease; Mathematical analysis; Computer science; Medicine; Physics; Population; Environmental health","score_opus":0.05023541719411402,"score_gpt":0.3013454650089933,"score_spread":0.2511100478148793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328982500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66908395,0.0010405412,0.30038142,0.0025917727,0.00008744109,0.000070184,0.00054961594,0.0002572923,0.02593773],"genre_scores_gemma":[0.98079336,0.00043162,0.004463207,0.000102879996,0.00005152147,0.00008418678,0.00013080379,0.000032260014,0.013910116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997228,0.00008439642,0.0000142577,0.0000593795,0.00004277773,0.00007629745],"domain_scores_gemma":[0.99882513,0.0005806694,0.00029035035,0.00005602451,0.00010952134,0.00013824923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009019266,0.0008383999,0.0010951421,0.0011377931,0.00058224093,0.0014086987,0.0013030259,0.001467943,0.0035246813],"category_scores_gemma":[0.0037169273,0.00042437052,0.0008439095,0.0006279393,0.0014192273,0.001394727,0.0015328462,0.0011042258,0.0005773811],"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":[0.00023872782,0.0001334692,0.008576312,0.00012738805,0.00014882554,0.0008554873,0.001045136,0.6624456,0.0055956193,0.310036,0.0018660986,0.008931316],"study_design_scores_gemma":[0.00003744531,0.000065616485,0.0011132393,0.000016777127,0.000030206951,0.00010969815,0.00013582937,0.95516795,0.0001871355,0.042375132,0.0007404099,0.000020549003],"about_ca_topic_score_codex":0.006740889,"about_ca_topic_score_gemma":0.0028186792,"teacher_disagreement_score":0.006740889,"about_ca_system_score_codex":0.0012000576,"about_ca_system_score_gemma":0.00054653344,"threshold_uncertainty_score":0.0134032965},"labels":[],"label_agreement":null},{"id":"W2329380957","doi":"10.3934/mbe.2013.10.463","title":"On latencies in malaria infections and their impact on the disease dynamics","year":2013,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Malaria; Basic reproduction number; Ode; Novelty; Epidemic model; Disease; Applied mathematics; Mathematics; Dynamics (music); Mathematical economics; Function (biology); Meaning (existential); Biology; Demography; Evolutionary biology; Psychology; Population; Immunology; Medicine; Social psychology; Internal medicine","score_opus":0.012771611096594835,"score_gpt":0.24572817022294036,"score_spread":0.23295655912634552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329380957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8149939,0.00648787,0.14673932,0.005123276,0.00030474414,0.000048323498,0.00046436168,0.00021673866,0.02562135],"genre_scores_gemma":[0.9871208,0.0027431224,0.0030988287,0.00016424489,0.00015099524,0.00003244319,0.00006040446,0.00005452895,0.0065746503],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996551,0.000115515635,0.000016065027,0.00006179416,0.000063348256,0.000088082044],"domain_scores_gemma":[0.9952644,0.0026737775,0.0012735726,0.00014971636,0.00019623921,0.0004422639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095122104,0.0007716814,0.0005109118,0.0005628204,0.00040179404,0.0010914666,0.0005469955,0.00077732967,0.0051562586],"category_scores_gemma":[0.0075356383,0.00029707263,0.00049120025,0.0003892495,0.0010196388,0.0029810825,0.0016549393,0.0010640672,0.00061753986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071333535,0.00020412817,0.0336007,0.0005574956,0.00013397027,0.002106291,0.0012775015,0.43081197,0.03837939,0.44104543,0.0031891305,0.04798063],"study_design_scores_gemma":[0.00010407893,0.0009668485,0.031567477,0.00015747946,0.00017172599,0.001244869,0.0009986076,0.65582263,0.004936731,0.29373446,0.010078099,0.0002169938],"about_ca_topic_score_codex":0.0028938542,"about_ca_topic_score_gemma":0.0016882978,"teacher_disagreement_score":0.0051562586,"about_ca_system_score_codex":0.0006382951,"about_ca_system_score_gemma":0.0006620911,"threshold_uncertainty_score":0.017249346},"labels":[],"label_agreement":null},{"id":"W2330029841","doi":"10.3934/mbe.2005.2.675","title":"Spatial Buffering Mechanism: Mathematical Model and Computer Simulations","year":2005,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for the Mathematical Sciences; York University; University of Toronto","funders":"","keywords":"Cellular automaton; Mechanism (biology); Biological system; Computer science; Extracellular; Lattice (music); Pattern formation; Computer simulation; Brain Cell; Statistical physics; Neuroscience; Simulation; Biophysics; Physics; Chemistry; Algorithm; Biology","score_opus":0.022142842800042018,"score_gpt":0.23304603321939443,"score_spread":0.2109031904193524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330029841","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14383768,0.0025286737,0.7974257,0.0017579421,0.00021975671,0.0002499358,0.0015096341,0.00074022426,0.0517304],"genre_scores_gemma":[0.8377654,0.0025099998,0.1398504,0.00034188072,0.0001317045,0.0016087746,0.0008061118,0.00024456778,0.01674108],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981064,0.0000621806,0.0000120276645,0.000023473149,0.000056012388,0.00003563819],"domain_scores_gemma":[0.99936885,0.00037313846,0.00008317722,0.000040054256,0.000099040815,0.000035842306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004378836,0.000498572,0.0010250107,0.0007515871,0.00075313787,0.00090112607,0.0017483484,0.001982482,0.0037738623],"category_scores_gemma":[0.0020216405,0.0003682328,0.0008002663,0.0009932233,0.00090563076,0.0010478313,0.0010054595,0.0008691719,0.0005446261],"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":[0.0000137648,0.000019153355,0.00023627485,0.000039929528,0.000008007602,0.000050946885,0.00003341752,0.97225654,0.0005674871,0.025173778,0.0003625463,0.0012381357],"study_design_scores_gemma":[0.000006232958,0.000004472018,0.000041485127,0.0000047419608,0.0000025026202,0.000009451926,0.000006784653,0.9947706,0.000088408975,0.0045358823,0.00052513357,0.0000042920524],"about_ca_topic_score_codex":0.014839392,"about_ca_topic_score_gemma":0.0052773654,"teacher_disagreement_score":0.014839392,"about_ca_system_score_codex":0.0012105677,"about_ca_system_score_gemma":0.0011909821,"threshold_uncertainty_score":0.029506028},"labels":[],"label_agreement":null},{"id":"W2330431953","doi":"10.3934/mbe.2005.2.111","title":"Modelling Population Growth with Delayed Nonlocal Reaction in 2-Dimensions","year":2005,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Reaction–diffusion system; Steady state (chemistry); Bounded function; Domain (mathematical analysis); Population; Mathematics; Boundary (topology); Mathematical analysis; Population model; Dynamics (music); Boundary value problem; Stability theory; Diffusion; Statistical physics; Physics; Chemistry; Thermodynamics; Nonlinear system","score_opus":0.017817290575779313,"score_gpt":0.24938196379180877,"score_spread":0.23156467321602947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330431953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6415664,0.0012593782,0.34666353,0.00117717,0.00015933924,0.000087301196,0.00025180384,0.00014124133,0.008693771],"genre_scores_gemma":[0.9724893,0.000588057,0.01945539,0.00010714472,0.00003748128,0.000103832775,0.00006414809,0.00002814762,0.0071264952],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973816,0.000119151366,0.000013209453,0.000055093587,0.000029221223,0.000045141074],"domain_scores_gemma":[0.99886787,0.00069169287,0.00024369634,0.000054255725,0.00006522631,0.00007724904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006374749,0.00076510344,0.0007738674,0.00055207673,0.00037111557,0.0013669912,0.0013705525,0.0022588326,0.0015514208],"category_scores_gemma":[0.0023631363,0.0005472322,0.000850402,0.00042388414,0.0014540303,0.0017082138,0.00135435,0.0009802142,0.00021456568],"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":[0.000039982126,0.000026889156,0.0012637295,0.000056485176,0.000023466406,0.0002383014,0.00012490216,0.96547306,0.0036427653,0.0279003,0.00011201786,0.001098129],"study_design_scores_gemma":[0.000013071811,0.000012384914,0.00013214974,0.0000034881855,0.0000046571918,0.000026271126,0.000028295492,0.9960063,0.0002601144,0.0032773677,0.00022744731,0.000008462458],"about_ca_topic_score_codex":0.006857154,"about_ca_topic_score_gemma":0.0030011267,"teacher_disagreement_score":0.006857154,"about_ca_system_score_codex":0.0011052275,"about_ca_system_score_gemma":0.0006250794,"threshold_uncertainty_score":0.013634503},"labels":[],"label_agreement":null},{"id":"W2331868049","doi":"10.3934/mbe.2012.9.393","title":"Impact of heterogeneity on the dynamics of an SEIR epidemic model","year":2012,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Basic reproduction number; Epidemic model; Stability theory; Lyapunov function; Mathematics; Applied mathematics; Dynamics (music); Statistical physics; Mathematical economics; Demography; Physics; Population; Sociology","score_opus":0.04583060248753371,"score_gpt":0.32911195910689967,"score_spread":0.28328135661936593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331868049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85967994,0.0013352213,0.11780596,0.0026447633,0.00014324574,0.00008439014,0.00041314596,0.00020043242,0.017692894],"genre_scores_gemma":[0.99430263,0.00029094142,0.0020336346,0.000088141904,0.000042438984,0.000023598563,0.000051649695,0.000011878409,0.003155013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931777,0.0002633554,0.00003426948,0.00010838059,0.00011345824,0.00016280657],"domain_scores_gemma":[0.99738115,0.0012616352,0.000697264,0.00017396756,0.0002050619,0.00028090156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013891323,0.00050545513,0.0012106847,0.0010148943,0.00049448304,0.0015315645,0.0012233503,0.0013910765,0.0019807299],"category_scores_gemma":[0.004592357,0.00032929613,0.0008339841,0.0005246841,0.000976958,0.0017415001,0.0011566151,0.0009314505,0.000277523],"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":[0.000367077,0.000257528,0.01072749,0.00018378152,0.00021498474,0.0037370168,0.0007192521,0.70871335,0.015022394,0.24772985,0.0022623297,0.010065006],"study_design_scores_gemma":[0.00005655402,0.00014766758,0.0016261034,0.000020722588,0.00006011951,0.0003100015,0.00014039046,0.97014904,0.00050622976,0.026376734,0.0005592114,0.00004714737],"about_ca_topic_score_codex":0.0061465716,"about_ca_topic_score_gemma":0.0021105986,"teacher_disagreement_score":0.0061465716,"about_ca_system_score_codex":0.0010330628,"about_ca_system_score_gemma":0.00058098644,"threshold_uncertainty_score":0.012221634},"labels":[],"label_agreement":null},{"id":"W2332172300","doi":"10.3934/mbe.2014.11.1139","title":"On optimization of substrate removal in a bioreactor with wall attached and suspended bacteria","year":2014,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Bioreactor; Bacteria; Substrate (aquarium); Chemistry; Biochemical engineering; Chemical engineering; Microbiology; Biology; Ecology; Engineering; Organic chemistry","score_opus":0.011166082454739872,"score_gpt":0.23043624801650825,"score_spread":0.21927016556176837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2332172300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76528347,0.0016122328,0.22505665,0.0006970692,0.00006266209,0.00015476067,0.00014225183,0.00014058167,0.006850264],"genre_scores_gemma":[0.96616244,0.0008049421,0.02890366,0.00010350481,0.000015529875,0.00013746374,0.00008911728,0.00004283604,0.0037403917],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962866,0.00010024705,0.000018237464,0.000086118394,0.000090329915,0.00007639475],"domain_scores_gemma":[0.99879277,0.0008704809,0.000154374,0.000030929466,0.000101009966,0.000050449646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012572255,0.0012901764,0.0013133129,0.0005371909,0.00045174814,0.001283303,0.0006828523,0.0017982613,0.00091349974],"category_scores_gemma":[0.002238673,0.0004050991,0.0011117407,0.00048176316,0.0009561554,0.0005140302,0.0008506139,0.0008284623,0.00019341003],"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":[0.00015814134,0.00013843607,0.00033638478,0.00014641746,0.000030931093,0.00009189147,0.000038056998,0.96612185,0.026962306,0.0010410672,0.000075748634,0.004858783],"study_design_scores_gemma":[0.000022081407,0.0004259279,0.00038143955,0.000009864121,0.000018668217,0.000012856126,0.00001963843,0.9896353,0.008567045,0.0007190211,0.00017569483,0.000012475507],"about_ca_topic_score_codex":0.006113952,"about_ca_topic_score_gemma":0.0025938165,"teacher_disagreement_score":0.006113952,"about_ca_system_score_codex":0.001096506,"about_ca_system_score_gemma":0.0008976754,"threshold_uncertainty_score":0.012156725},"labels":[],"label_agreement":null},{"id":"W2333478117","doi":"10.3934/mbe.2012.9.215","title":"Longtime behavior of one-dimensional biofilm models with shear dependent detachment rates","year":2012,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Slime Mold and Myxomycetes Research","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Hagen–Poiseuille equation; Biofilm; Mechanics; Flow (mathematics); Couette flow; Reynolds number; Volumetric flow rate; Pressure drop; Shear stress; Shear (geology); Mathematics; Statistical physics; Materials science; Physics; Turbulence; Geology; Composite material","score_opus":0.02806741101059481,"score_gpt":0.2534590106894376,"score_spread":0.22539159967884279,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333478117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93294424,0.001179566,0.05688364,0.0012621625,0.00010797248,0.000038062877,0.00019850508,0.00017140657,0.0072144293],"genre_scores_gemma":[0.9921409,0.00038713295,0.0022665018,0.00008307437,0.000025018517,0.00004653122,0.00012576256,0.00002703184,0.0048979325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981517,0.00004535748,0.000013316901,0.00003942316,0.000034557295,0.00005214931],"domain_scores_gemma":[0.9985629,0.00045725185,0.0004605367,0.0000886686,0.00014905522,0.00028167324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006378651,0.001255341,0.000816528,0.00080381933,0.0008346631,0.0017032737,0.0013649234,0.0026277045,0.0013885014],"category_scores_gemma":[0.0026284344,0.0006435755,0.0014472834,0.00034648163,0.001628907,0.0016360163,0.001384726,0.001465147,0.00022626581],"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":[0.00007626372,0.00010249378,0.002638802,0.00007429267,0.000052140684,0.00029540778,0.00019192767,0.96170497,0.012303395,0.020863745,0.00037518673,0.001321405],"study_design_scores_gemma":[0.000007848075,0.000040031802,0.00045903694,0.0000081085755,0.000013239151,0.000020709545,0.0000294037,0.9959163,0.0006397379,0.0027358432,0.00011307087,0.000016600516],"about_ca_topic_score_codex":0.009021861,"about_ca_topic_score_gemma":0.005387633,"teacher_disagreement_score":0.009021861,"about_ca_system_score_codex":0.0016491958,"about_ca_system_score_gemma":0.0007980779,"threshold_uncertainty_score":0.017938673},"labels":[],"label_agreement":null},{"id":"W2334762949","doi":"10.3934/mbe.2007.4.699","title":"Global analysis of discrete-time SI and SIS epidemic models","year":2007,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Chaotic; Discretization; Discrete time and continuous time; Period-doubling bifurcation; Applied mathematics; Continuous modelling; Mathematics; Statistical physics; Computer science; Mathematical analysis; Nonlinear system; Statistics; Bifurcation; Physics","score_opus":0.01632134351056231,"score_gpt":0.2849619971525632,"score_spread":0.2686406536420009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334762949","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2170699,0.0011008425,0.756452,0.0006864756,0.00007784453,0.000054073655,0.00033434937,0.00027729137,0.023947176],"genre_scores_gemma":[0.9781352,0.00060554233,0.0132603245,0.00007854561,0.00007230552,0.00007570179,0.00027334597,0.000070029266,0.007429021],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998317,0.00005419291,0.0000068971394,0.00003392949,0.000042269567,0.000030959334],"domain_scores_gemma":[0.99915767,0.00039467448,0.00019600183,0.000043246997,0.00013202042,0.00007636312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006360654,0.0006098653,0.0005916982,0.00084170507,0.00024829732,0.00079646276,0.00076669524,0.00048329638,0.0027242117],"category_scores_gemma":[0.0019484264,0.00022756762,0.0007899292,0.0004220918,0.0007268902,0.0011287131,0.0008298169,0.0006544165,0.00019711828],"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":[0.000039979783,0.000025415606,0.002098439,0.00008718458,0.0000735822,0.00018955221,0.00013496175,0.7260022,0.0036533417,0.25917518,0.0013366166,0.0071834535],"study_design_scores_gemma":[0.0000031745299,0.0000119462775,0.0004548972,0.0000038766248,0.000008105023,0.000023423272,0.000018299248,0.966442,0.00014273239,0.032440327,0.00044628273,0.0000050093054],"about_ca_topic_score_codex":0.0022375262,"about_ca_topic_score_gemma":0.0012693541,"teacher_disagreement_score":0.0027242117,"about_ca_system_score_codex":0.000712934,"about_ca_system_score_gemma":0.0003808224,"threshold_uncertainty_score":0.009113371},"labels":[],"label_agreement":null},{"id":"W2395344614","doi":"10.3934/mbe.2015008","title":"Global stability for an $SEI$ model of infectious disease with age structure and immigration of infecteds","year":2015,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Age structure; Immigration; Epidemic model; Infectious disease (medical specialty); Stability (learning theory); Lyapunov function; Tuberculosis; Disease; Econometrics; Demography; Medicine; Mathematics; Computer science; Geography; Sociology; Physics; Population","score_opus":0.02988769561506645,"score_gpt":0.2775225867539135,"score_spread":0.24763489113884704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2395344614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6358025,0.0012249377,0.3199776,0.003003785,0.00020145495,0.000040251278,0.0005262433,0.00035647038,0.038866732],"genre_scores_gemma":[0.98234665,0.00041311383,0.004290625,0.00010162724,0.000043101587,0.000056638248,0.00012855908,0.00003351736,0.012586194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997875,0.000065470806,0.000011167711,0.00004148786,0.00003979034,0.000054521657],"domain_scores_gemma":[0.99925977,0.0002837876,0.00019899674,0.000037173533,0.00011495617,0.00010522967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064844306,0.00072921696,0.0009228262,0.00090140634,0.00053103466,0.0013569877,0.0010174264,0.0010394893,0.0024968488],"category_scores_gemma":[0.0020830699,0.00031545013,0.00077185605,0.0005311278,0.0012266261,0.00095456163,0.0012085515,0.0007455386,0.0004586],"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":[0.0002100695,0.000086842214,0.0045086914,0.000116963674,0.0001595052,0.0009853998,0.0006002909,0.6391149,0.007944857,0.33757547,0.0024656714,0.0062313583],"study_design_scores_gemma":[0.000024619447,0.000057005716,0.00053418404,0.000012501397,0.000020849626,0.00008868754,0.000086369284,0.9643199,0.00021136829,0.033986706,0.0006432017,0.000014626825],"about_ca_topic_score_codex":0.007464091,"about_ca_topic_score_gemma":0.003202069,"teacher_disagreement_score":0.007464091,"about_ca_system_score_codex":0.0010662184,"about_ca_system_score_gemma":0.00068710453,"threshold_uncertainty_score":0.0148412585},"labels":[],"label_agreement":null},{"id":"W2395385299","doi":"10.3934/mbe.2016.13.135","title":"A delayed HIV-1 model with virus waning term","year":2015,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Basic reproduction number; Virus; Clearance; Viral load; Population; CTL*; Immune system; Virology; Viral replication; Biology; Term (time); Human immunodeficiency virus (HIV); Hopf bifurcation; Steady state (chemistry); Viral infection; CD8; Immunology; Control theory (sociology); Bifurcation; Physics; Medicine; Computer science; Control (management); Chemistry","score_opus":0.035931340465853716,"score_gpt":0.26941743503895416,"score_spread":0.23348609457310043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2395385299","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28662807,0.0027701152,0.67988884,0.0022685695,0.00048590198,0.00018390182,0.0008761526,0.0003274997,0.026570939],"genre_scores_gemma":[0.95738155,0.0011637527,0.015488116,0.00020362153,0.00011917053,0.00019438486,0.00019694913,0.000028220793,0.02522423],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998036,0.000041126026,0.000008639281,0.000057472607,0.000039307153,0.000049959926],"domain_scores_gemma":[0.9997459,0.000075247015,0.00006800919,0.00001433114,0.000056204917,0.000040232368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032115105,0.0007702862,0.00085507205,0.00035754265,0.00036724805,0.001219662,0.0017437255,0.0014069665,0.003319418],"category_scores_gemma":[0.00071277947,0.00032755933,0.0007824517,0.0003271851,0.0006502105,0.0011282316,0.0008200395,0.0012311209,0.00037443868],"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":[0.00013776867,0.0000767335,0.0017064391,0.00020983664,0.00007312876,0.0007641114,0.000146148,0.89902246,0.011705457,0.080351464,0.0008700507,0.0049363775],"study_design_scores_gemma":[0.000043627562,0.000081119906,0.00020072525,0.000009249957,0.00003196198,0.000077307544,0.0000337459,0.9896666,0.00041246405,0.008114222,0.0013120193,0.000016987187],"about_ca_topic_score_codex":0.0074813035,"about_ca_topic_score_gemma":0.0032220786,"teacher_disagreement_score":0.0074813035,"about_ca_system_score_codex":0.00089717266,"about_ca_system_score_gemma":0.0010687114,"threshold_uncertainty_score":0.014875531},"labels":[],"label_agreement":null},{"id":"W2402054237","doi":"10.3934/mbe.2016015","title":"A toxin-mediated size-structured population model: Finite difference approximation and well-posedness","year":2016,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Uniqueness; Finite difference; Mathematics; Partial differential equation; Applied mathematics; Nonlinear system; Convergence (economics); Finite difference method; Population model; Population; Variety (cybernetics); Ordinary differential equation; Mathematical optimization; Differential equation; Mathematical analysis; Physics; Statistics","score_opus":0.014903175889238205,"score_gpt":0.24271862014048445,"score_spread":0.22781544425124625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2402054237","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12800048,0.0014558035,0.8481459,0.0027195346,0.00025743307,0.000120075616,0.00047376018,0.00018756592,0.018639458],"genre_scores_gemma":[0.9191034,0.0012361511,0.04747141,0.0005182012,0.00015671672,0.00034759275,0.00031443613,0.00006542246,0.030786766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959165,0.00015439157,0.000017166827,0.00008770605,0.00009496217,0.000054119584],"domain_scores_gemma":[0.998733,0.00071131956,0.00021078346,0.00004862146,0.00017506187,0.00012132081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009911512,0.00069577596,0.0010825626,0.0006128635,0.000581,0.0011919877,0.0025917608,0.0029974338,0.0017086521],"category_scores_gemma":[0.0028846131,0.0004257833,0.00089286483,0.0006284129,0.0021895117,0.0013479064,0.0016126075,0.0013817535,0.00031568087],"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":[0.000027135307,0.000043663535,0.0010623396,0.00006748232,0.000033536533,0.00025071073,0.00015847877,0.8817183,0.0029441507,0.110853635,0.00061624567,0.0022243313],"study_design_scores_gemma":[0.000010566037,0.000013024426,0.00010244085,0.000003959442,0.0000055259447,0.000026706197,0.000010397792,0.9903858,0.00008862279,0.009045117,0.00030040144,0.0000075015932],"about_ca_topic_score_codex":0.010004329,"about_ca_topic_score_gemma":0.003916343,"teacher_disagreement_score":0.010004329,"about_ca_system_score_codex":0.0013110659,"about_ca_system_score_gemma":0.0013111487,"threshold_uncertainty_score":0.019892216},"labels":[],"label_agreement":null},{"id":"W2408850569","doi":"10.3934/mbe.2015007","title":"Flocking and invariance of velocity angles","year":2015,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Flocking (texture); Monotonic function; Mathematics; Property (philosophy); Mathematical analysis; Physics","score_opus":0.02688033508144088,"score_gpt":0.21944938690080595,"score_spread":0.19256905181936507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2408850569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49225742,0.0005924965,0.4793361,0.0004908693,0.000095251,0.000073274256,0.00012849476,0.00010523916,0.02692075],"genre_scores_gemma":[0.98203045,0.00017346175,0.013401849,0.000064129395,0.000029395767,0.00004375022,0.000045914294,0.000025563464,0.0041855127],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996762,0.00008055952,0.000009713149,0.00007668715,0.000073178606,0.00008363734],"domain_scores_gemma":[0.9992755,0.00018094831,0.00018726249,0.0001102185,0.00013568245,0.00011041682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005851447,0.0004905849,0.00048803247,0.00068692875,0.0005830989,0.0009326475,0.0009080829,0.0006793795,0.0015152609],"category_scores_gemma":[0.0030220828,0.0003155479,0.0006907449,0.00025014288,0.0015895148,0.0014640369,0.0011193729,0.0011077747,0.00022398499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014051909,0.00008558344,0.002730243,0.00008821926,0.000054328753,0.000494171,0.00031897242,0.3718933,0.036066867,0.57067174,0.0010489018,0.016407222],"study_design_scores_gemma":[0.00002105937,0.000084305066,0.0010354809,0.00001269698,0.000006517564,0.000091668815,0.000042342603,0.9483504,0.0013164054,0.047800742,0.001217318,0.000020977588],"about_ca_topic_score_codex":0.0038898275,"about_ca_topic_score_gemma":0.0012143857,"teacher_disagreement_score":0.0038898275,"about_ca_system_score_codex":0.0005840862,"about_ca_system_score_gemma":0.00041111518,"threshold_uncertainty_score":0.0077343583},"labels":[],"label_agreement":null},{"id":"W2471662707","doi":"10.3934/mbe.2015.12.983","title":"Multi-host transmission dynamics of schistosomiasis and its optimal control","year":2015,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Schistosomiasis; Transmission (telecommunications); Constant (computer programming); Stability theory; Basic reproduction number; Host (biology); Stability (learning theory); Control theory (sociology); Equilibrium point; Optimal control; Mathematics; Biology; Mathematical optimization; Control (management); Computer science; Ecology; Physics; Immunology; Helminths; Mathematical analysis; Medicine; Population; Environmental health; Differential equation","score_opus":0.024662698648651896,"score_gpt":0.2755961073563483,"score_spread":0.2509334087076964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2471662707","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3200062,0.0031243016,0.64272624,0.0044502257,0.0002453456,0.00011422222,0.00043576604,0.0001586272,0.028739057],"genre_scores_gemma":[0.98494905,0.00082727685,0.0095926495,0.00011747959,0.00004990264,0.000083531915,0.000059901733,0.00001328876,0.0043068742],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996532,0.0001290094,0.000015663456,0.00007941659,0.000059680337,0.00006304528],"domain_scores_gemma":[0.99962807,0.0001309701,0.00012823631,0.000015571883,0.000059049915,0.000038006347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052329764,0.00059091626,0.0006908067,0.00040559057,0.00044385222,0.001031338,0.00085879094,0.0010492261,0.0022151468],"category_scores_gemma":[0.0013795038,0.0003140353,0.0006295462,0.00028996175,0.00085060013,0.0012888979,0.0008427094,0.0008276855,0.00017370307],"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":[0.0000377645,0.00005831313,0.0025519999,0.00010576156,0.000077263256,0.00044550424,0.00013664833,0.8810524,0.0024494794,0.10648642,0.0010410451,0.0055574505],"study_design_scores_gemma":[0.000014487988,0.00003982425,0.0007736822,0.000008823619,0.00001666743,0.000047263835,0.0000421646,0.9822713,0.00009935134,0.016064394,0.00061251014,0.000009500512],"about_ca_topic_score_codex":0.009333868,"about_ca_topic_score_gemma":0.0044113826,"teacher_disagreement_score":0.009333868,"about_ca_system_score_codex":0.0011961306,"about_ca_system_score_gemma":0.0009878832,"threshold_uncertainty_score":0.018559098},"labels":[],"label_agreement":null},{"id":"W2485300473","doi":"10.3934/mbe.2016025","title":"Modeling the spread of bed bug infestation and optimal resource allocation for disinfestation","year":2016,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Dermatological diseases and infestations","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Infestation; Bed bug; Resource allocation; Resource (disambiguation); Statistics; Environmental science; Ecology; Biology; Computer science; Mathematical optimization; Mathematics; Toxicology; Agronomy","score_opus":0.021475699333508527,"score_gpt":0.2743070557874485,"score_spread":0.25283135645394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2485300473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5031622,0.00061907555,0.47904554,0.0013239242,0.00011424956,0.00013870365,0.0005513781,0.00018254129,0.01486235],"genre_scores_gemma":[0.9772943,0.00034411697,0.0150088975,0.000064752785,0.000025462483,0.000114894065,0.00011235035,0.00001934427,0.007015823],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998134,0.00007107874,0.000008016585,0.00003813845,0.000021905373,0.000047469228],"domain_scores_gemma":[0.9993319,0.00036903762,0.00013955361,0.00002425196,0.000057615845,0.00007758096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048910454,0.0005886677,0.00080508104,0.00046656514,0.0002965316,0.0008436414,0.0013127708,0.0018257292,0.003410339],"category_scores_gemma":[0.0014777045,0.0004310002,0.00076199794,0.0005065162,0.00070429256,0.0008978627,0.00069819205,0.00083258946,0.0003273096],"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":[0.000028512215,0.000021383154,0.0007836461,0.000025759451,0.000017501672,0.000080661164,0.000027838745,0.98911405,0.0009584448,0.0076749003,0.00017885923,0.0010883937],"study_design_scores_gemma":[0.000008936949,0.000024262352,0.0002207178,0.000002544544,0.000008735988,0.000014878353,0.0000158609,0.99799585,0.00006294322,0.0015199059,0.000121953584,0.000003478928],"about_ca_topic_score_codex":0.009115053,"about_ca_topic_score_gemma":0.005600654,"teacher_disagreement_score":0.009115053,"about_ca_system_score_codex":0.0008071774,"about_ca_system_score_gemma":0.0007619641,"threshold_uncertainty_score":0.018123984},"labels":[],"label_agreement":null},{"id":"W2512454623","doi":"10.3934/mbe.2016033","title":"Classification of Alzheimer's disease using unsupervised diffusion component analysis","year":2016,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Aging; Canadian Institutes of Health Research","keywords":"Component (thermodynamics); Component analysis; Disease; Psychology; Artificial intelligence; Computer science; Medicine; Pathology; Physics","score_opus":0.0648029816279267,"score_gpt":0.27415450894985827,"score_spread":0.20935152732193157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2512454623","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31995857,0.0015103952,0.6732731,0.00052868814,0.00013065684,0.00034330584,0.00062486244,0.0011873654,0.002443022],"genre_scores_gemma":[0.74693054,0.0008340538,0.24880368,0.00008216016,0.00011670966,0.00018473364,0.0012396831,0.00008970288,0.0017187698],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995127,0.00013019415,0.00004773064,0.000110658955,0.0001401106,0.000058601836],"domain_scores_gemma":[0.99898666,0.00037885297,0.00012731277,0.00009554439,0.00036596908,0.000045605088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008494055,0.0006620709,0.0005776547,0.0034925235,0.00038956988,0.0009765327,0.00045704094,0.0005670035,0.00048320333],"category_scores_gemma":[0.0027702346,0.00015762943,0.00062602054,0.0014397468,0.00042582327,0.00059804204,0.0004217355,0.0005487535,0.0002635565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060780346,0.0004191802,0.038918268,0.00022214914,0.000340471,0.00045930632,0.00029983427,0.095280714,0.050459255,0.0075181904,0.006044378,0.7994305],"study_design_scores_gemma":[0.000027346623,0.00011617665,0.027589075,0.00003350009,0.00007266379,0.00048185585,0.00012355635,0.948599,0.012313888,0.007875982,0.002709731,0.000057158933],"about_ca_topic_score_codex":0.0060070683,"about_ca_topic_score_gemma":0.0057865195,"teacher_disagreement_score":0.0060070683,"about_ca_system_score_codex":0.00046900756,"about_ca_system_score_gemma":0.0008074624,"threshold_uncertainty_score":0.011944234},"labels":[],"label_agreement":null},{"id":"W2517294285","doi":"10.3934/mbe.2017023","title":"Multiplayer games and HIV transmission via casual encounters","year":2016,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Casual; Transmission (telecommunications); Human immunodeficiency virus (HIV); Computer science; Psychology; Communication; Social psychology; Biology; Virology; Telecommunications; Political science","score_opus":0.008218111447721674,"score_gpt":0.2398802270879874,"score_spread":0.23166211564026573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2517294285","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45742732,0.001675285,0.49057886,0.003798785,0.00029044758,0.0004974124,0.0006564579,0.00034400704,0.044731352],"genre_scores_gemma":[0.96286935,0.00055812515,0.023017123,0.00029199984,0.00008982505,0.00026693539,0.000112032314,0.000022906426,0.012771762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978393,0.0013043357,0.00007204211,0.00029922198,0.00022029481,0.00026482713],"domain_scores_gemma":[0.99475574,0.0035345228,0.00095928,0.00021584048,0.00020129004,0.00033340018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015488857,0.0013035708,0.0009901107,0.0006729766,0.00076837454,0.001663008,0.0014691952,0.001559045,0.0068358965],"category_scores_gemma":[0.008532567,0.0004923806,0.0009112478,0.00043321314,0.0014727602,0.0025909767,0.0017296664,0.0015320254,0.0004206883],"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":[0.00042849305,0.0002582062,0.004863398,0.00021014968,0.00023883562,0.00069832685,0.0011089251,0.5299395,0.00201877,0.43849358,0.0026374357,0.019104393],"study_design_scores_gemma":[0.00008348747,0.00017729365,0.0008515506,0.000027400696,0.000036134996,0.00013795008,0.00018282548,0.79649884,0.00026238363,0.19926156,0.0024431818,0.000037434173],"about_ca_topic_score_codex":0.0055964994,"about_ca_topic_score_gemma":0.0036874972,"teacher_disagreement_score":0.0068358965,"about_ca_system_score_codex":0.0011802522,"about_ca_system_score_gemma":0.00070813653,"threshold_uncertainty_score":0.022868395},"labels":[],"label_agreement":null},{"id":"W2530155642","doi":"10.3934/mbe.2017029","title":"Population models with quasi-constant-yield harvest rates","year":2016,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Constant (computer programming); Dimensionless quantity; Mathematics; Population; Yield (engineering); Statistics; Boundary (topology); Population model; Logistic function; Population size; Applied mathematics; Sustainable yield; Mathematical analysis; Ecology; Econometrics; Computer science; Demography; Biology; Physics; Mechanics","score_opus":0.03088080547930788,"score_gpt":0.260365198783931,"score_spread":0.2294843933046231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2530155642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5134286,0.0018704819,0.46316633,0.0034974508,0.00022469019,0.000086903434,0.00067462755,0.00022530225,0.016825639],"genre_scores_gemma":[0.9818673,0.0007780987,0.0062861852,0.000118170195,0.00008261947,0.00006335681,0.00014623208,0.000022583998,0.0106353285],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935037,0.00026152667,0.00003425537,0.00012930641,0.00008387489,0.00014065919],"domain_scores_gemma":[0.9970361,0.0013382931,0.000809217,0.00022336774,0.00031233134,0.00028069864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018471964,0.0008411426,0.0010309996,0.000804089,0.00052680715,0.0019995396,0.002797948,0.0016623568,0.0027154477],"category_scores_gemma":[0.005150035,0.00047441313,0.0010267074,0.0010389215,0.0020892443,0.0032242353,0.0016509773,0.0016306388,0.0004960979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011157004,0.000099943994,0.0054716766,0.00014043687,0.000073461124,0.000669942,0.00046599997,0.46081987,0.0018858949,0.5245967,0.0012650129,0.004399466],"study_design_scores_gemma":[0.00003156746,0.000037714486,0.0006098669,0.000012884105,0.00002355451,0.00014007087,0.00011136581,0.91947335,0.000116261785,0.07878411,0.00063180213,0.00002746303],"about_ca_topic_score_codex":0.0037732152,"about_ca_topic_score_gemma":0.0022292836,"teacher_disagreement_score":0.0037732152,"about_ca_system_score_codex":0.0012976576,"about_ca_system_score_gemma":0.00059552456,"threshold_uncertainty_score":0.009769022},"labels":[],"label_agreement":null},{"id":"W2563055839","doi":"10.3934/mbe.2017038","title":"Moments of von mises and fisher distributions and applications","year":2017,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; von Mises yield criterion; von Mises distribution; Moment (physics); Population; Applied mathematics; Spherical harmonics; Divergence (linguistics); Distribution (mathematics); Computation; Unit sphere; Covariance; Mathematical analysis; Trigonometric functions; Covariance matrix; Statistics; Geometry; Algorithm; Physics; Classical mechanics","score_opus":0.033891281405619214,"score_gpt":0.29024458426038174,"score_spread":0.25635330285476254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563055839","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013159721,0.009798421,0.95432365,0.0011563299,0.0003287043,0.000028260532,0.00023676023,0.00026444573,0.020703735],"genre_scores_gemma":[0.70403427,0.024627706,0.24890786,0.00069497334,0.0023585698,0.00019183168,0.000541771,0.00038023517,0.018262742],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992211,0.0002247891,0.00005638436,0.00012944575,0.0002774997,0.00009083211],"domain_scores_gemma":[0.9963786,0.0022725249,0.00032737452,0.00024557524,0.000612155,0.00016381287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00150577,0.00086305046,0.00079309626,0.0029740625,0.00054797396,0.001758874,0.0008000893,0.0010906901,0.0036190108],"category_scores_gemma":[0.012196781,0.00041326688,0.0010522386,0.0021344025,0.0019365547,0.0025049436,0.0017653898,0.0019619807,0.00091736193],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016543107,0.000012976007,0.0005153109,0.00008261234,0.000017393899,0.00011479261,0.00010360921,0.04648535,0.0008809042,0.9189596,0.0019162945,0.030894676],"study_design_scores_gemma":[0.000004119706,0.000012698364,0.00046147188,0.000041590098,0.00000611992,0.00022824871,0.00004023684,0.13938275,0.00041235835,0.85211635,0.007267152,0.000026930064],"about_ca_topic_score_codex":0.002575434,"about_ca_topic_score_gemma":0.0013204721,"teacher_disagreement_score":0.0036190108,"about_ca_system_score_codex":0.0014600952,"about_ca_system_score_gemma":0.0009498698,"threshold_uncertainty_score":0.012106836},"labels":[],"label_agreement":null},{"id":"W2563600868","doi":"10.3934/mbe.2017034","title":"Modeling and simulation for toxicity assessment","year":2017,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Health; University of Calgary; University of Alberta; MacEwan University","funders":"","keywords":"Toxicant; Biological system; Toxicity; Computer science; Maximization; Cytotoxicity; Chemistry; Intracellular; Applied mathematics; Statistics; In vitro; Mathematics; Biology; Mathematical optimization; Biochemistry","score_opus":0.018667492934862685,"score_gpt":0.29742593198629963,"score_spread":0.27875843905143693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563600868","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012520751,0.00077372685,0.9642895,0.00092532975,0.00018405513,0.0002026656,0.0014266169,0.0014557982,0.018221458],"genre_scores_gemma":[0.44142833,0.003032586,0.5220539,0.0005913453,0.0002376048,0.0027563495,0.0035814098,0.00090895285,0.025409512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957937,0.00014791785,0.00003290364,0.0000644152,0.00012753978,0.000047960377],"domain_scores_gemma":[0.99874914,0.0007221947,0.00012340174,0.00008902172,0.00026740987,0.00004886853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081906805,0.0010815462,0.0010741461,0.00076983165,0.0006862891,0.0012554013,0.0016070916,0.0023300347,0.008683379],"category_scores_gemma":[0.002976286,0.0005394164,0.0014346807,0.000951207,0.0005483846,0.0010261695,0.0010623898,0.0015384239,0.0017210526],"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":[0.000015388501,0.00001944556,0.00034628206,0.00006185541,0.000016170965,0.00004032612,0.000021334135,0.981727,0.0007040966,0.011876263,0.0010216266,0.004150222],"study_design_scores_gemma":[0.0000051668685,0.0000052812015,0.000041285213,0.000007073974,0.000003848695,0.0000103901975,0.000005258746,0.9939633,0.00018654716,0.00354634,0.002221429,0.000004103358],"about_ca_topic_score_codex":0.013029698,"about_ca_topic_score_gemma":0.0059600603,"teacher_disagreement_score":0.013029698,"about_ca_system_score_codex":0.0011193473,"about_ca_system_score_gemma":0.0016544525,"threshold_uncertainty_score":0.0290488},"labels":[],"label_agreement":null},{"id":"W2564841414","doi":"10.3934/mbe.2017036","title":"Mathematical analysis of a quorum sensing induced biofilm dispersal model and numerical simulation of hollowing effects","year":2017,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"","keywords":"Quorum sensing; Uniqueness; Reaction–diffusion system; Diffusion; Bounded function; Biofilm; Degeneracy (biology); Autoinducer; Biological system; Mathematics; Applied mathematics; Physics; Mathematical analysis; Thermodynamics; Biology","score_opus":0.015313120245543047,"score_gpt":0.26715724684622005,"score_spread":0.251844126600677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564841414","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3729554,0.0014257012,0.60155845,0.0017763947,0.00014763269,0.00013352075,0.0003546276,0.00027094857,0.021377265],"genre_scores_gemma":[0.95879877,0.0005243324,0.032749005,0.00017190598,0.000041004783,0.00022679647,0.00014775884,0.00005035456,0.0072901426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998344,0.00004278169,0.000013397511,0.00003195217,0.000045808672,0.000031649866],"domain_scores_gemma":[0.9993931,0.00026900257,0.00016393613,0.000034843655,0.00008314442,0.000055925335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043207034,0.0005444231,0.0008217569,0.0005591393,0.00054821005,0.00087153254,0.001066799,0.0019686157,0.0013715324],"category_scores_gemma":[0.001352653,0.00034872474,0.000866125,0.00035161607,0.0009664559,0.00093995506,0.0010544439,0.0007882265,0.00015916758],"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":[0.000017508888,0.000029586248,0.0005395497,0.000047347046,0.000018901028,0.00018663435,0.000049275368,0.96567273,0.007939626,0.024342412,0.0001893873,0.0009670273],"study_design_scores_gemma":[0.000006138196,0.000010379175,0.00009806083,0.0000029373743,0.0000036533004,0.000013771275,0.00000636607,0.9978155,0.0003436983,0.0015235122,0.00017141677,0.0000045219795],"about_ca_topic_score_codex":0.0063026766,"about_ca_topic_score_gemma":0.0019835841,"teacher_disagreement_score":0.0063026766,"about_ca_system_score_codex":0.0011491791,"about_ca_system_score_gemma":0.0008629498,"threshold_uncertainty_score":0.012531996},"labels":[],"label_agreement":null},{"id":"W2566513576","doi":"10.3934/mbe.2017044","title":"A note on the global properties of an age-structured viral dynamic model with multiple target cell populations","year":2017,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Semigroup; Coinfection; Lyapunov function; Basic reproduction number; Ordinary differential equation; Dynamics (music); Function (biology); Stability theory; Steady state (chemistry); Mathematics; Applied mathematics; Biology; Viral infection; Virology; Differential equation; Virus; Population; Mathematical analysis; Evolutionary biology; Physics; Demography","score_opus":0.033184690142433367,"score_gpt":0.2779744246830865,"score_spread":0.24478973454065311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2566513576","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17228268,0.001592946,0.8034651,0.0018596716,0.00016651198,0.00005399525,0.00018328532,0.00013979335,0.020256026],"genre_scores_gemma":[0.9747362,0.0010545502,0.017109655,0.000251,0.0001334142,0.000074920856,0.000105033076,0.000045091478,0.006490161],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983084,0.00005301671,0.000008244041,0.00004978588,0.000033041862,0.000025136062],"domain_scores_gemma":[0.9992693,0.00033860528,0.0001536237,0.00006942825,0.00009590624,0.00007309498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006890538,0.0004986497,0.00065739424,0.00042861482,0.00040573545,0.0007268985,0.0005214576,0.0008858256,0.001535073],"category_scores_gemma":[0.001924667,0.00020990332,0.0011852013,0.00028872202,0.00083042006,0.0013845752,0.0010174235,0.0009399734,0.00016552361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052498777,0.00003729223,0.005889104,0.00020093232,0.00011032876,0.0017249141,0.0007304784,0.45809394,0.02732544,0.4932684,0.0018131676,0.010753533],"study_design_scores_gemma":[0.000013455388,0.000114684146,0.001509697,0.000017417782,0.000054248398,0.0005499752,0.00006790827,0.86919665,0.0012802029,0.124651305,0.0025174038,0.00002701707],"about_ca_topic_score_codex":0.0016330843,"about_ca_topic_score_gemma":0.0009240399,"teacher_disagreement_score":0.0016330843,"about_ca_system_score_codex":0.0004386504,"about_ca_system_score_gemma":0.00044517,"threshold_uncertainty_score":0.0051353574},"labels":[],"label_agreement":null},{"id":"W2594368235","doi":"10.3934/mbe.2017051","title":"Stability analysis on an economic epidemiological model with vaccination","year":2017,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University; Western University","funders":"","keywords":"Vaccination; Epidemiology; Bifurcation; Saddle point; Stability (learning theory); Qualitative analysis; Epidemic model; Disease; Mathematics; Bifurcation theory; Demography; Econometrics; Virology; Biology; Medicine; Physics; Computer science; Nonlinear system; Population; Qualitative research; Sociology; Pathology","score_opus":0.053294209820530396,"score_gpt":0.32216062975741067,"score_spread":0.26886641993688026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594368235","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44894895,0.001889584,0.49938932,0.003964481,0.00017376007,0.00015019851,0.00036566213,0.00019420957,0.04492383],"genre_scores_gemma":[0.98645276,0.00046318772,0.0049819243,0.000106162275,0.000048993643,0.00009501996,0.000069681366,0.000017220525,0.007764954],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995968,0.00019726681,0.000014374429,0.000061120314,0.00006320064,0.00006724132],"domain_scores_gemma":[0.99909484,0.00052594393,0.00016703787,0.00003436898,0.00011613001,0.00006172838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091376394,0.0005858659,0.00092422747,0.0006466623,0.0006080884,0.0011860665,0.000726473,0.0012148311,0.0026039283],"category_scores_gemma":[0.0030887753,0.00029149064,0.0007566646,0.000338789,0.0009950403,0.0008358076,0.0010766402,0.00071371574,0.00029734804],"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":[0.00010514866,0.000058743022,0.0018377628,0.00008498178,0.00007916853,0.0004895273,0.00019328644,0.8495425,0.0045875376,0.13845378,0.0008000277,0.0037675141],"study_design_scores_gemma":[0.000016663313,0.00003830499,0.00035405063,0.000008684525,0.000016260705,0.000046981782,0.00003060678,0.9836548,0.0001748931,0.015062272,0.0005874205,0.000009091259],"about_ca_topic_score_codex":0.006908626,"about_ca_topic_score_gemma":0.0019476801,"teacher_disagreement_score":0.006908626,"about_ca_system_score_codex":0.0012378284,"about_ca_system_score_gemma":0.0008537312,"threshold_uncertainty_score":0.013736844},"labels":[],"label_agreement":null},{"id":"W2617819805","doi":"10.3934/mbe.2017079","title":"Onset and termination of oscillation of disease spread through contaminated environment","year":2017,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Nonlinear system; Boundary value problem; Dirichlet boundary condition; Oscillation (cell signaling); Control theory (sociology); Mathematics; Applied mathematics; Statistical physics; Physics; Computer science; Mathematical analysis; Biology","score_opus":0.022448687338323108,"score_gpt":0.2775178862442045,"score_spread":0.25506919890588137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617819805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8597187,0.00034572097,0.12844238,0.00081350026,0.000052885967,0.000060904014,0.000103835046,0.000094638955,0.010367377],"genre_scores_gemma":[0.9942847,0.000085720196,0.0037602428,0.000025753243,0.000010821844,0.000031807194,0.000018597579,0.000011124795,0.0017712541],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981946,0.00005531519,0.0000083340165,0.00004164593,0.00002861472,0.00004661659],"domain_scores_gemma":[0.99881446,0.00059840083,0.0002812846,0.000041073312,0.00011985839,0.00014492718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004876774,0.00037380596,0.00042823522,0.00038744768,0.00037187434,0.00084649347,0.00047913534,0.0010690392,0.0013370082],"category_scores_gemma":[0.0030650191,0.00023887171,0.00051526644,0.00013718723,0.0011482548,0.0007625922,0.0008962892,0.0007552235,0.00014515842],"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":[0.00092343206,0.00026477178,0.018441467,0.00035933816,0.00012350376,0.0029151978,0.0013618702,0.5523073,0.19508936,0.21288069,0.0012470655,0.0140860835],"study_design_scores_gemma":[0.00006800299,0.00010971259,0.002611402,0.000019360234,0.000026838654,0.00020165114,0.00016053359,0.9723272,0.005816172,0.018147517,0.000481239,0.000030350178],"about_ca_topic_score_codex":0.0019077756,"about_ca_topic_score_gemma":0.00059687893,"teacher_disagreement_score":0.0019077756,"about_ca_system_score_codex":0.00051910296,"about_ca_system_score_gemma":0.0004908637,"threshold_uncertainty_score":0.004472792},"labels":[],"label_agreement":null},{"id":"W2618094610","doi":"10.3934/mbe.2018052","title":"A stochastic model for water-vegetation systems and the effect of decreasing precipitation on semi-arid environments","year":2018,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Precipitation; Desertification; Vegetation (pathology); Arid; Environmental science; Climatology; Climate change; Atmospheric sciences; Physical geography; Ecology; Meteorology; Geography; Geology","score_opus":0.004577696562021825,"score_gpt":0.20268512050139786,"score_spread":0.19810742393937603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618094610","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2949988,0.0013206528,0.67236817,0.0036177603,0.0002746747,0.00013689518,0.0017465224,0.00040948822,0.025127077],"genre_scores_gemma":[0.96900225,0.0007963321,0.014782071,0.000224284,0.000097344986,0.00023608867,0.00045462948,0.00006249168,0.014344495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962497,0.00014037926,0.000021452292,0.00007623697,0.000054980177,0.00008199338],"domain_scores_gemma":[0.9986777,0.00072228967,0.00028473043,0.000041886262,0.00012417097,0.00014914134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094102544,0.00075233483,0.0011221846,0.0007492144,0.00076946564,0.0016560915,0.002221548,0.0023308452,0.003971472],"category_scores_gemma":[0.0026073908,0.00049704075,0.0010381488,0.0010272685,0.0017119469,0.0012742068,0.0013429737,0.0014930833,0.00043875145],"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":[0.000023277096,0.000030504227,0.00080767047,0.000028178103,0.000025191499,0.00013037838,0.00004936972,0.93442607,0.0006312574,0.06259544,0.00041683318,0.00083584286],"study_design_scores_gemma":[0.000013203399,0.00001350459,0.00019275476,0.0000035742369,0.00000743414,0.000012840339,0.000014552438,0.99176544,0.000030400372,0.0076892963,0.00025046896,0.0000064275855],"about_ca_topic_score_codex":0.026670313,"about_ca_topic_score_gemma":0.016380006,"teacher_disagreement_score":0.026670313,"about_ca_system_score_codex":0.0017401635,"about_ca_system_score_gemma":0.001545615,"threshold_uncertainty_score":0.053030133},"labels":[],"label_agreement":null},{"id":"W2618881890","doi":"10.3934/mbe.2017057","title":"Effect of seasonal changing temperature on the growth of phytoplankton","year":2017,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Phytoplankton; Environmental science; Biomass (ecology); Nutrient; Atmospheric sciences; Algal bloom; Ecology; Physics; Biology","score_opus":0.01268329141434786,"score_gpt":0.2690544404907006,"score_spread":0.2563711490763527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618881890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9437382,0.00064975873,0.047334556,0.0005217637,0.00011371653,0.00002163552,0.0002304646,0.00013062032,0.00725927],"genre_scores_gemma":[0.9979292,0.00017661753,0.0006622712,0.000014440839,0.000008960357,0.000007873949,0.000029333212,0.000007164978,0.0011641682],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989104,0.000030768228,0.0000069126686,0.000030961884,0.000014361872,0.000025965077],"domain_scores_gemma":[0.9997366,0.00010047161,0.00008312034,0.000017731383,0.000029509456,0.000032514312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020578693,0.000493865,0.00042441036,0.00018618688,0.000344278,0.0007576235,0.00061404984,0.000630738,0.00087564747],"category_scores_gemma":[0.00080183253,0.00020491231,0.00058724266,0.00021318858,0.0005632505,0.0005823741,0.0006274122,0.00046558236,0.000093355615],"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":[0.00011386624,0.0000583361,0.008869983,0.000077174736,0.00007686286,0.0006487086,0.00008251515,0.9644498,0.014212222,0.00838466,0.00035689148,0.002668964],"study_design_scores_gemma":[0.000010150538,0.00004988571,0.0024992768,0.0000032638734,0.000032050226,0.000059629983,0.000022434277,0.9951663,0.0006632698,0.0013043634,0.00017744103,0.0000118992875],"about_ca_topic_score_codex":0.009867791,"about_ca_topic_score_gemma":0.003969769,"teacher_disagreement_score":0.009867791,"about_ca_system_score_codex":0.00060032145,"about_ca_system_score_gemma":0.0005208672,"threshold_uncertainty_score":0.019620717},"labels":[],"label_agreement":null},{"id":"W2618986821","doi":"10.3934/mbe.2018012","title":"A frailty model for intervention effectiveness against disease transmission
when implemented with unobservable heterogeneity","year":2017,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Unobservable; Intervention (counseling); Disease; Econometrics; Population; Infectious disease (medical specialty); Communicable disease; Computer science; Medicine; Mathematics; Public health; Environmental health; Pathology","score_opus":0.2711122112429947,"score_gpt":0.43241926165807926,"score_spread":0.16130705041508453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618986821","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13275214,0.0025831184,0.8367086,0.007880008,0.00042667263,0.00031126486,0.001135211,0.00042488868,0.017778087],"genre_scores_gemma":[0.9305691,0.0019693128,0.038661532,0.0009952523,0.00033875403,0.0006602222,0.00041836925,0.00007836983,0.026309116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968348,0.0018007599,0.00011201921,0.00043941278,0.00033158084,0.0004813824],"domain_scores_gemma":[0.9813405,0.015202479,0.0014639264,0.0006602056,0.0006461031,0.0006867013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014366021,0.0014970624,0.0025070691,0.001302044,0.00060481485,0.0017377713,0.0034664895,0.0031380618,0.0076955087],"category_scores_gemma":[0.033477604,0.00051853596,0.0018950963,0.0007641452,0.0030158756,0.002966107,0.0019242046,0.0028384943,0.0008549172],"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":[0.00046331287,0.00015002678,0.0023650778,0.00034262502,0.00024541994,0.00032023768,0.00036287756,0.5527875,0.001123232,0.42146307,0.0032549237,0.01712173],"study_design_scores_gemma":[0.00026000018,0.00040764548,0.0013867271,0.0000966291,0.00016503039,0.00010114396,0.00007551363,0.8273502,0.00021368294,0.1682141,0.0016789909,0.00005036427],"about_ca_topic_score_codex":0.0072437427,"about_ca_topic_score_gemma":0.0023194575,"teacher_disagreement_score":0.014366021,"about_ca_system_score_codex":0.0024800403,"about_ca_system_score_gemma":0.0021377362,"threshold_uncertainty_score":0.07597566},"labels":[],"label_agreement":null},{"id":"W2619744039","doi":"10.3934/mbe.2017077","title":"Asymptotic behavior of a delayed stochastic logistic model with impulsive perturbations","year":2017,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Uniqueness; Mathematics; Stationary distribution; Impulse (physics); Applied mathematics; White noise; Perturbation (astronomy); Markov chain; Population model; Markov process; Population; Statistical physics; Mathematical analysis; Statistics; Physics","score_opus":0.03771880159440149,"score_gpt":0.302005701771737,"score_spread":0.2642869001773355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619744039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6198287,0.001002684,0.35698307,0.0022419863,0.0001105881,0.000063930405,0.00020765944,0.00025195096,0.01930933],"genre_scores_gemma":[0.9917936,0.00024799127,0.002805881,0.000048896683,0.000033160144,0.00003634629,0.000048990787,0.000015634327,0.004969427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973994,0.00009226051,0.00001053069,0.00005068198,0.000052310956,0.000054307653],"domain_scores_gemma":[0.99852186,0.0005973538,0.0004434187,0.000050981405,0.00018910629,0.000197219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007505514,0.00057610276,0.0006627344,0.0008988172,0.00051913515,0.0012384906,0.0008294501,0.0011068186,0.002466252],"category_scores_gemma":[0.0035199062,0.0003509145,0.00066634506,0.00034882448,0.0014530503,0.0012644394,0.0015453398,0.0009210325,0.00019146781],"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":[0.00018437338,0.00008299761,0.0063443547,0.00017217017,0.00014226428,0.0016142856,0.00041663653,0.7240453,0.012740114,0.24872866,0.0013157203,0.004213221],"study_design_scores_gemma":[0.000021606083,0.000042126085,0.00058804505,0.00000986602,0.000018463576,0.00014858831,0.00007026852,0.98023474,0.00033899772,0.018133288,0.00037455585,0.000019425543],"about_ca_topic_score_codex":0.0055961893,"about_ca_topic_score_gemma":0.0019304217,"teacher_disagreement_score":0.0055961893,"about_ca_system_score_codex":0.0010957076,"about_ca_system_score_gemma":0.0008625663,"threshold_uncertainty_score":0.0111272335},"labels":[],"label_agreement":null},{"id":"W2627021029","doi":"10.3934/mbe.2018021","title":"Spatially-implicit modelling of disease-behaviour interactions in the context of non-pharmaceutical interventions","year":2017,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Context (archaeology); Psychological intervention; Basic reproduction number; Disease; Infectious disease (medical specialty); Attack rate; Social learning; Vaccination; Biology; Demography; Computer science; Immunology; Psychology; Medicine; Outbreak; Environmental health; Population; Virology","score_opus":0.3780466225150143,"score_gpt":0.4729058987702134,"score_spread":0.09485927625519908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2627021029","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45087713,0.0017186082,0.50612724,0.004425342,0.00041650416,0.00015906483,0.001303621,0.00047932984,0.03449319],"genre_scores_gemma":[0.96019685,0.0005989431,0.014464894,0.0002890264,0.00008926507,0.00017647923,0.00023457287,0.00006826323,0.023881625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938166,0.00028577968,0.000024297804,0.000103623526,0.00007253943,0.00013201979],"domain_scores_gemma":[0.997592,0.0013899574,0.00044653608,0.0001233353,0.00019321547,0.00025495907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008616085,0.0009552126,0.0012971386,0.00074898807,0.00066440995,0.0018902663,0.0027694546,0.003592737,0.0070379055],"category_scores_gemma":[0.0045593716,0.0009295355,0.0015468723,0.0008687294,0.0020556962,0.0019503653,0.0020941722,0.0017606163,0.0008116288],"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":[0.000033372267,0.00004098069,0.0015206857,0.00003087882,0.000029746407,0.00017696305,0.00010671347,0.969564,0.000457769,0.026586955,0.00026854232,0.0011834713],"study_design_scores_gemma":[0.000014900335,0.000017596614,0.0003346053,0.0000050124427,0.000010710551,0.000021994048,0.00003418556,0.9922231,0.000044693013,0.006917676,0.00036766048,0.000007919775],"about_ca_topic_score_codex":0.034897856,"about_ca_topic_score_gemma":0.013117012,"teacher_disagreement_score":0.034897856,"about_ca_system_score_codex":0.0018160586,"about_ca_system_score_gemma":0.0014556526,"threshold_uncertainty_score":0.06938946},"labels":[],"label_agreement":null},{"id":"W2772743256","doi":"10.3934/mbe.2018046","title":"Role of white-tailed deer in geographic spread of the black-legged tick <i>Ixodes scapularis</i> : Analysis of a spatially nonlocal model","year":2018,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Ixodes scapularis; Biological dispersal; Tick; Physics; Wave speed; Population; Steady state (chemistry); Dispersion (optics); Extinction (optical mineralogy); Statistical physics; Mechanics; Biology; Ecology; Optics; Demography; Ixodidae","score_opus":0.005800978778713875,"score_gpt":0.20805079343178554,"score_spread":0.20224981465307165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772743256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9092533,0.00057696353,0.078684375,0.001449789,0.000030383462,0.00003637014,0.00009018779,0.00005211735,0.009826571],"genre_scores_gemma":[0.9929403,0.00029471458,0.0030048804,0.000057763227,0.0000209556,0.000026287344,0.000026840042,0.000010609284,0.0036175484],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998919,0.0000397984,0.0000044027215,0.000024351371,0.000014389784,0.000025112891],"domain_scores_gemma":[0.9995586,0.00018348593,0.00013397809,0.000018373923,0.00004756792,0.000058052166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038466172,0.00036544073,0.0004677748,0.00058054336,0.0004900285,0.0012047092,0.00083910406,0.0010289855,0.0019288264],"category_scores_gemma":[0.0010023696,0.00026570234,0.0006748411,0.00023880864,0.0010617287,0.0012318991,0.001007643,0.0004932616,0.00018508805],"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":[0.00004222495,0.00009063233,0.006138887,0.00005301421,0.00004947711,0.00049483695,0.00019508316,0.93745774,0.0068377783,0.045857843,0.00041523582,0.0023673],"study_design_scores_gemma":[0.000013534309,0.000032882774,0.0004949583,0.000005541655,0.000015679065,0.00004585629,0.00006884297,0.99534434,0.00019385442,0.003608351,0.00016980628,0.000006281937],"about_ca_topic_score_codex":0.009414555,"about_ca_topic_score_gemma":0.0047876635,"teacher_disagreement_score":0.009414555,"about_ca_system_score_codex":0.00088927854,"about_ca_system_score_gemma":0.0007490334,"threshold_uncertainty_score":0.018719494},"labels":[],"label_agreement":null},{"id":"W2778887427","doi":"10.3934/mbe.2018027","title":"Delay induced spatiotemporal patterns in a diffusive intraguild predation model with Beddington-DeAngelis functional response","year":2018,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Functional response; Intraguild predation; Hopf bifurcation; Predation; Stability (learning theory); Statistical physics; Biological system; Diffusion; Homogeneous; Dynamics (music); Bifurcation; Mathematics; Computer science; Physics; Ecology; Biology; Predator; Thermodynamics","score_opus":0.0276224758600743,"score_gpt":0.26792988968553766,"score_spread":0.24030741382546336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2778887427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9037408,0.0010298737,0.08216,0.001075547,0.00008574333,0.000033490713,0.0002531306,0.00010573742,0.011515641],"genre_scores_gemma":[0.9944253,0.0002855039,0.0014572778,0.000030179432,0.000011576634,0.000019670595,0.000033558437,0.000009028402,0.0037278337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989736,0.000028940392,0.000005800506,0.00002167467,0.000012541752,0.000033676846],"domain_scores_gemma":[0.9995871,0.00012475869,0.00013119263,0.000016016773,0.000040524545,0.00010042977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026387078,0.0006508007,0.0007291353,0.0004954273,0.0005821177,0.0010971166,0.0012518651,0.0014262471,0.0016049196],"category_scores_gemma":[0.00075528794,0.00034121503,0.00066792656,0.00031830257,0.0009765513,0.0009113546,0.0010629593,0.00070965756,0.00013550994],"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":[0.00023625337,0.00009825362,0.0062375595,0.00017050872,0.0001304241,0.001477808,0.00037015625,0.85654396,0.015676947,0.11496575,0.0010644494,0.003027958],"study_design_scores_gemma":[0.000028829641,0.00005761116,0.00078640133,0.0000064352657,0.00003310237,0.00011089422,0.000059879512,0.9897635,0.0003227337,0.0085166115,0.00029264897,0.000021250427],"about_ca_topic_score_codex":0.011415385,"about_ca_topic_score_gemma":0.0048141666,"teacher_disagreement_score":0.011415385,"about_ca_system_score_codex":0.0010788954,"about_ca_system_score_gemma":0.0006490453,"threshold_uncertainty_score":0.022697866},"labels":[],"label_agreement":null},{"id":"W2779714426","doi":"10.3934/mbe.2018034","title":"Analyzing the causes of alpine meadow degradation and the efficiency of restoration strategies through a mathematical modelling exercise","year":2018,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Livestock; Ecosystem; Environmental science; Vegetation (pathology); Forage; Population; Land degradation; Climate change; Restoration ecology; Ecology; Agroforestry; Biology; Land use","score_opus":0.014622811106753028,"score_gpt":0.225888791092048,"score_spread":0.21126597998529498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2779714426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75400555,0.0011157999,0.22451459,0.001488828,0.00004110292,0.0000547581,0.00018009299,0.00012350573,0.018475754],"genre_scores_gemma":[0.9894629,0.00040181694,0.008259449,0.00003522595,0.000013236881,0.000038504204,0.0000370434,0.0000122544725,0.0017395173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997814,0.00009767088,0.00001110206,0.00002787525,0.0000271509,0.000054737586],"domain_scores_gemma":[0.99882966,0.0006804202,0.00029784723,0.00003522288,0.0001092131,0.000047676553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009731469,0.00065241347,0.0005230628,0.0008006693,0.0005043095,0.0010859708,0.0005849883,0.00076791854,0.0012049106],"category_scores_gemma":[0.0028814548,0.00023713554,0.0010342721,0.00044661178,0.00060993445,0.0009808373,0.0006447742,0.00053202617,0.000070020644],"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":[0.000012254559,0.000023051924,0.003285131,0.00003481042,0.000028105696,0.00009021364,0.000038872844,0.98025227,0.00050377,0.013420902,0.00015712905,0.0021534013],"study_design_scores_gemma":[0.0000022351323,0.000010394772,0.000536868,0.000004319673,0.00001567024,0.0000139682315,0.000037644157,0.99644095,0.0000881112,0.0027051487,0.00014119489,0.0000034227032],"about_ca_topic_score_codex":0.017689424,"about_ca_topic_score_gemma":0.008188549,"teacher_disagreement_score":0.017689424,"about_ca_system_score_codex":0.0011295544,"about_ca_system_score_gemma":0.0011529048,"threshold_uncertainty_score":0.03517294},"labels":[],"label_agreement":null},{"id":"W2780055677","doi":"10.3934/mbe.2018035","title":"Pattern formation of a predator-prey model with the cost of anti-predator behaviors","year":2018,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Predation; Predator; Functional response; Ecology; Numerical response; Biology; Biological system","score_opus":0.023514070532234563,"score_gpt":0.2720738201953023,"score_spread":0.24855974966306774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2780055677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69784784,0.0010350683,0.26516804,0.0024984966,0.00018227784,0.000121968806,0.00048331195,0.0003199076,0.032342996],"genre_scores_gemma":[0.97861403,0.0002792782,0.009355568,0.000109908324,0.000028375507,0.000097410346,0.00009180662,0.000041216015,0.011382534],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997948,0.00005905424,0.000012329618,0.00005167945,0.000037206595,0.00004505499],"domain_scores_gemma":[0.99937075,0.0002112502,0.00016633628,0.000039304374,0.00008279899,0.00012965492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044759182,0.0007660515,0.0010383516,0.0005583421,0.0005456723,0.001359153,0.002134163,0.0021427497,0.0024927906],"category_scores_gemma":[0.0013612164,0.0005295206,0.0011972158,0.0003999149,0.001125712,0.0010658558,0.0013319687,0.0009786866,0.0004113537],"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":[0.00013539725,0.00007997395,0.00298363,0.000103278646,0.00011585249,0.0007286014,0.00014168512,0.91819584,0.008802334,0.065839104,0.0006471706,0.0022270319],"study_design_scores_gemma":[0.000036834233,0.000025104351,0.0003197775,0.0000040949103,0.000022168144,0.00006533151,0.000018854129,0.99281037,0.00017914642,0.0063185296,0.00018814532,0.000011647972],"about_ca_topic_score_codex":0.008224165,"about_ca_topic_score_gemma":0.0030826707,"teacher_disagreement_score":0.008224165,"about_ca_system_score_codex":0.0010176285,"about_ca_system_score_gemma":0.00072765193,"threshold_uncertainty_score":0.016352594},"labels":[],"label_agreement":null},{"id":"W2780573926","doi":"10.3934/mbe.2018033","title":"Dynamics of a Filippov epidemic model with limited hospital beds","year":2018,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Bifurcation; Basic reproduction number; Mathematics; Saddle; Population; Boundary (topology); Saddle-node bifurcation; Bifurcation diagram; Control theory (sociology); Transcritical bifurcation; Epidemic model; Computer science; Mathematical optimization; Control (management); Mathematical analysis; Nonlinear system; Medicine; Physics; Artificial intelligence","score_opus":0.013938320917195953,"score_gpt":0.2518699453106041,"score_spread":0.23793162439340812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2780573926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63385475,0.0023848272,0.2786402,0.008019481,0.0005110839,0.00026088135,0.0023200833,0.00037547247,0.07363323],"genre_scores_gemma":[0.9726456,0.0008040503,0.005022639,0.00023614251,0.00010921175,0.00017088048,0.000309708,0.000024606332,0.020677192],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940526,0.00017699283,0.000029692226,0.00011702697,0.000082110404,0.00018898338],"domain_scores_gemma":[0.9988494,0.00041634994,0.00033504335,0.000029877216,0.00015073975,0.0002184948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082224136,0.0010160886,0.0015013003,0.0012266512,0.0011440667,0.0018610414,0.0023315838,0.003115571,0.0067241997],"category_scores_gemma":[0.0026603674,0.0005099312,0.001119599,0.00091873656,0.0013771915,0.0021102822,0.001571288,0.0016607913,0.0005641534],"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":[0.00016483049,0.00011171533,0.003772964,0.000110692454,0.0001026858,0.000992281,0.00026391432,0.8660416,0.0012026839,0.12029496,0.002804567,0.004137143],"study_design_scores_gemma":[0.00003848382,0.00004599063,0.0005762854,0.000016733045,0.000029442452,0.00007713911,0.00008946997,0.98803127,0.00007962755,0.010178486,0.00081661413,0.000020476295],"about_ca_topic_score_codex":0.024278967,"about_ca_topic_score_gemma":0.008571592,"teacher_disagreement_score":0.024278967,"about_ca_system_score_codex":0.0019742064,"about_ca_system_score_gemma":0.0016529409,"threshold_uncertainty_score":0.048275292},"labels":[],"label_agreement":null},{"id":"W2789438287","doi":"10.3934/mbe.2018045","title":"Probability of <i>Escherichia coli</i> contamination spread in ground beef production","year":2018,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Contamination; Escherichia coli; Beef industry; Environmental science; Food safety; Production (economics); Contaminated food; Salmonella; Outbreak; Food science; Biology; Agricultural science; Microbiology; Ecology; Economics; Bacteria","score_opus":0.02651393696667055,"score_gpt":0.22782171457555572,"score_spread":0.20130777760888519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789438287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92344534,0.0005878034,0.067843005,0.0018612257,0.000061182385,0.00011273487,0.0009367501,0.00022511405,0.0049267486],"genre_scores_gemma":[0.9935027,0.00030926726,0.0022878752,0.00007690954,0.000041434625,0.00003247322,0.00029371982,0.000022087172,0.0034335165],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989266,0.00036013534,0.000055423818,0.0002566964,0.00016920867,0.00023198903],"domain_scores_gemma":[0.98639673,0.008192475,0.0034452912,0.0006708993,0.00054325175,0.000751325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027336474,0.00045390363,0.0006839667,0.00083385466,0.00038724235,0.0016802275,0.001432302,0.0015019845,0.008462815],"category_scores_gemma":[0.011981221,0.00039570098,0.0006502495,0.00059614156,0.0014767711,0.001670724,0.0010741692,0.0012401225,0.00090423087],"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":[0.0022550449,0.0006280685,0.41962388,0.00039232575,0.00026202272,0.0038221187,0.0013916903,0.43699688,0.009139859,0.05582987,0.011232565,0.0584256],"study_design_scores_gemma":[0.00011564629,0.0006784243,0.08461627,0.00014281488,0.00015039556,0.0018941012,0.0012918464,0.8781545,0.003609758,0.026938414,0.0022975458,0.00011016278],"about_ca_topic_score_codex":0.0078016426,"about_ca_topic_score_gemma":0.003400524,"teacher_disagreement_score":0.008462815,"about_ca_system_score_codex":0.0008318563,"about_ca_system_score_gemma":0.00039626588,"threshold_uncertainty_score":0.028310955},"labels":[],"label_agreement":null},{"id":"W2803935153","doi":"10.3934/mbe.2018048","title":"Stochastic dynamics and survival analysis of a cell population model with random perturbations","year":2018,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MacEwan University","funders":"","keywords":"Logistic function; Statistical physics; Population; Applied mathematics; Monte Carlo method; Mathematics; Stationary distribution; Population model; Dynamics (music); Stochastic modelling; Extinction (optical mineralogy); Quadratic equation; Persistence (discontinuity); Stochastic dynamics; Stochastic process; Statistics; Physics; Demography; Engineering","score_opus":0.013704491680583547,"score_gpt":0.25267523780770534,"score_spread":0.2389707461271218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803935153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52472484,0.001268931,0.4568085,0.0026466066,0.00015254036,0.00011195302,0.00047490996,0.00028971516,0.013521983],"genre_scores_gemma":[0.9833709,0.0005515781,0.0061789523,0.00015853213,0.000059085665,0.00012739762,0.00017536615,0.000041684267,0.00933658],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996363,0.00011890574,0.000014025351,0.00006555073,0.000083048224,0.000082058854],"domain_scores_gemma":[0.99872357,0.00053800375,0.0003343239,0.000042705804,0.00020815937,0.00015325395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079104933,0.00085557083,0.0010545453,0.0009278662,0.0006154378,0.0011808121,0.0012729112,0.0016091197,0.0018358801],"category_scores_gemma":[0.0026741785,0.00035467197,0.0007929897,0.0004990596,0.0014097361,0.001048796,0.00114658,0.001048839,0.00027359696],"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":[0.000053864216,0.00003784685,0.0020738381,0.000052261585,0.000054608874,0.00030597052,0.00017289017,0.9049512,0.0055455486,0.08425798,0.00063014415,0.0018637527],"study_design_scores_gemma":[0.000006591176,0.000014971669,0.00018545137,0.000003320145,0.000008133429,0.000026801374,0.00001521234,0.9942918,0.0001567028,0.0051218024,0.00016034287,0.00000887841],"about_ca_topic_score_codex":0.011394557,"about_ca_topic_score_gemma":0.0031376174,"teacher_disagreement_score":0.011394557,"about_ca_system_score_codex":0.0014327316,"about_ca_system_score_gemma":0.0010981263,"threshold_uncertainty_score":0.0226565},"labels":[],"label_agreement":null},{"id":"W2891856591","doi":"10.3934/mbe.2018060","title":"Dynamical analysis for a hepatitis B transmission model with immigration and infection age","year":2018,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Hepatitis B Virus Studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Transmission (telecommunications); Immigration; Basic reproduction number; Hepatitis B virus; Smoothness; Attractiveness; Lyapunov function; Demography; Disease transmission; Virology; Immunology; Biology; Geography; Physics; Computer science; Population; Sociology; Mathematics; Virus; Psychology","score_opus":0.014993658152291712,"score_gpt":0.26167855637811327,"score_spread":0.24668489822582157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891856591","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40612805,0.002543218,0.54471433,0.0040547648,0.00028323173,0.00018511534,0.0009539291,0.00030186196,0.040835544],"genre_scores_gemma":[0.9641204,0.001130051,0.009622005,0.00020421424,0.00013463643,0.0002274777,0.00032039962,0.00004339617,0.024197452],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999806,0.00006465693,0.00001115474,0.000047057358,0.000028813001,0.00004229457],"domain_scores_gemma":[0.9992223,0.00031227522,0.00024002735,0.000022850085,0.00012117577,0.00008141472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005747388,0.0008288027,0.00096232304,0.00083577004,0.0007901272,0.0013044538,0.0007987837,0.0015614213,0.003344003],"category_scores_gemma":[0.0018363206,0.00034829768,0.0012351142,0.00040124307,0.00091959443,0.0009113221,0.0013660782,0.0009814323,0.00033881853],"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":[0.00009839157,0.00009948285,0.0045588594,0.00014477031,0.00012166525,0.0011799424,0.0004957277,0.8418399,0.006610491,0.1375028,0.0026030426,0.0047449414],"study_design_scores_gemma":[0.000011192811,0.000026754919,0.00042438213,0.000006755013,0.000015864332,0.000054396285,0.00004053294,0.99312603,0.000056754252,0.0057275584,0.0005009057,0.00000883646],"about_ca_topic_score_codex":0.015929203,"about_ca_topic_score_gemma":0.0062907874,"teacher_disagreement_score":0.015929203,"about_ca_system_score_codex":0.0010249189,"about_ca_system_score_gemma":0.0008983129,"threshold_uncertainty_score":0.031672955},"labels":[],"label_agreement":null},{"id":"W2891870311","doi":"10.3934/mbe.2019186","title":"Parameterizing a dynamic influenza model using longitudinal versus age-stratified case notifications yields different predictions of vaccine impacts","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; University of Guelph","funders":"","keywords":"Vaccination; Longitudinal data; Demography; Longitudinal study; Statistics; Age groups; Influenza vaccine; Medicine; Population; Variance (accounting); Set (abstract data type); Mathematics; Environmental health; Computer science; Immunology","score_opus":0.13961506051023173,"score_gpt":0.3853185498593946,"score_spread":0.2457034893491629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891870311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9078014,0.00013525088,0.08847551,0.00054202456,0.000033265496,0.00010842744,0.001111605,0.00018896579,0.0016037404],"genre_scores_gemma":[0.98520064,0.00008810056,0.012074463,0.00009785016,0.0000086283935,0.00008430611,0.0011306431,0.000025989257,0.0012895324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896586,0.00047994865,0.0000583662,0.00027999378,0.000083070285,0.00013278266],"domain_scores_gemma":[0.99621576,0.0025558667,0.00041221795,0.00035072057,0.0003484035,0.00011698994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052019996,0.0008487788,0.00055133505,0.0005609647,0.00030748794,0.0009605793,0.0012165525,0.0010697076,0.0015771285],"category_scores_gemma":[0.014758078,0.0004582089,0.0015981795,0.0005012918,0.00039267744,0.0012036676,0.0005559879,0.0011330227,0.00033056026],"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":[0.00010562305,0.00008524177,0.04417475,0.000024633071,0.00014382896,0.000048563645,0.0001378545,0.94743407,0.0007414821,0.0014007875,0.0002479879,0.0054552625],"study_design_scores_gemma":[0.00002018282,0.00010951322,0.015813986,0.000014512774,0.00006000692,0.000027629323,0.00011551634,0.98065144,0.00051152456,0.002275996,0.00036449565,0.00003526579],"about_ca_topic_score_codex":0.08406853,"about_ca_topic_score_gemma":0.06570583,"teacher_disagreement_score":0.08406853,"about_ca_system_score_codex":0.001940834,"about_ca_system_score_gemma":0.0016045535,"threshold_uncertainty_score":0.16715842},"labels":[],"label_agreement":null},{"id":"W2891946908","doi":"10.3934/mbe.2019004","title":"Growth on two limiting essential resources in a self-cycling fermentor","year":2018,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; McMaster University","funders":"","keywords":"Limiting; Cycling; Population; Process (computing); Control theory (sociology); Impulse (physics); Environmental science; Steady state (chemistry); Mathematics; Process engineering; Mechanics; Computer science; Engineering; Chemistry; Physics; Mechanical engineering","score_opus":0.014627801368635585,"score_gpt":0.2793685706022409,"score_spread":0.26474076923360534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891946908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8355203,0.00030477534,0.15218519,0.0009221666,0.00007434977,0.00008433341,0.00022636111,0.0001593728,0.010523196],"genre_scores_gemma":[0.9868798,0.00015019084,0.0056823776,0.000069509995,0.000011258804,0.000076491626,0.000046097524,0.000011262477,0.0070729395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975425,0.000057260564,0.000018215766,0.000052489857,0.000056621964,0.00006114358],"domain_scores_gemma":[0.9993524,0.00030641363,0.00014977592,0.000027356331,0.000068333684,0.000095691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005823386,0.0006685647,0.000993317,0.0006009028,0.0007315557,0.0014763043,0.0012766528,0.0020567295,0.0014534032],"category_scores_gemma":[0.0012987321,0.00048137477,0.00089389394,0.00047367957,0.0016466358,0.00083236094,0.0016123818,0.001039838,0.00015196911],"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":[0.00017552612,0.00009302725,0.0029261494,0.000092108974,0.000059366215,0.0006658495,0.00034314895,0.9309774,0.021228941,0.04034616,0.0001967112,0.002895586],"study_design_scores_gemma":[0.000026978005,0.000055356013,0.00027941362,0.000006844012,0.000021013699,0.000039220922,0.000060229573,0.9947649,0.0014843545,0.003018027,0.00022644314,0.000017129876],"about_ca_topic_score_codex":0.013131316,"about_ca_topic_score_gemma":0.005149107,"teacher_disagreement_score":0.013131316,"about_ca_system_score_codex":0.0014411268,"about_ca_system_score_gemma":0.0012727233,"threshold_uncertainty_score":0.026109755},"labels":[],"label_agreement":null},{"id":"W2900523842","doi":"10.3934/mbe.2019270","title":"Equivalences between age structured models and state dependent distributed delay differential equations","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Delay differential equation; Distributed parameter system; Differential equation; Ordinary differential equation; State dependent; State (computer science); Stability (learning theory); Variable (mathematics)","score_opus":0.01859354284836055,"score_gpt":0.2305828099255982,"score_spread":0.21198926707723767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900523842","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06053091,0.00035274785,0.9113284,0.001179451,0.00014519438,0.00007346944,0.00045972326,0.00011890426,0.025811259],"genre_scores_gemma":[0.9148666,0.00067743723,0.05387671,0.00047402483,0.00019189421,0.00024721943,0.0004136143,0.00009147809,0.029160889],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992192,0.00019030776,0.0000462732,0.0001549944,0.0002566656,0.00013255971],"domain_scores_gemma":[0.9984421,0.00070893846,0.00031929245,0.00014263038,0.00026799543,0.00011892758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013082986,0.0005178884,0.00050134247,0.0006429823,0.00040375107,0.0013782476,0.0013114186,0.0012023058,0.0044041523],"category_scores_gemma":[0.0051042116,0.00035894325,0.0009029132,0.0005029725,0.001239011,0.0022040042,0.0020448684,0.0018062631,0.0004130605],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010315345,0.000028360098,0.0005944351,0.00002182959,0.000012391489,0.00010330925,0.00017475159,0.14566047,0.001091069,0.84683144,0.00073463056,0.0047370223],"study_design_scores_gemma":[0.00001831407,0.000021325706,0.00037682065,0.0000094027,0.000009126917,0.000058259084,0.000043158394,0.63498485,0.00029928892,0.36163476,0.0025302842,0.000014387003],"about_ca_topic_score_codex":0.0072623994,"about_ca_topic_score_gemma":0.0035819393,"teacher_disagreement_score":0.0072623994,"about_ca_system_score_codex":0.0018728328,"about_ca_system_score_gemma":0.0013279167,"threshold_uncertainty_score":0.014733374},"labels":[],"label_agreement":null},{"id":"W2903330699","doi":"10.3934/mbe.2019001","title":"Stochastic modeling of algal bloom dynamics with delayed nutrient recycling","year":2018,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Algal bloom; Markov chain; Bloom; Population; White noise; Noise (video); Environmental noise; Uniqueness; Nutrient; Food chain; Detritus; Mathematics; Applied mathematics; Phytoplankton; Environmental science; Computer science; Ecology; Statistics; Biology; Physics; Mathematical analysis","score_opus":0.004618225760530552,"score_gpt":0.1902272230024143,"score_spread":0.18560899724188373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903330699","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19007522,0.00061243935,0.8017638,0.0008978389,0.00018418198,0.000056639674,0.00030827208,0.0002099372,0.0058916765],"genre_scores_gemma":[0.9747625,0.00069128186,0.016327636,0.00009865855,0.000082174774,0.000112165995,0.00017176435,0.00002876307,0.007724993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966204,0.00009259796,0.000021736463,0.000083255916,0.000073841096,0.00006656568],"domain_scores_gemma":[0.9994548,0.00019908475,0.00016144685,0.00003281543,0.00009765173,0.000054202614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006211394,0.0006390434,0.00073835754,0.0004970723,0.000475718,0.0009717677,0.0013070157,0.0010423671,0.001142541],"category_scores_gemma":[0.0013785319,0.00045912858,0.0008697266,0.00052049,0.0010280806,0.0012822046,0.00085930136,0.00096824986,0.00014443934],"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":[0.000022048302,0.000021207405,0.0010598078,0.000027775026,0.000028966857,0.00012801832,0.00005074174,0.9402142,0.002743838,0.054239962,0.00016683462,0.0012966325],"study_design_scores_gemma":[0.0000055460578,0.0000069863854,0.00011383924,0.0000017674628,0.0000057038565,0.000010429956,0.0000047938206,0.99604493,0.000113468224,0.0035419653,0.00014567746,0.0000048551788],"about_ca_topic_score_codex":0.014331911,"about_ca_topic_score_gemma":0.007731671,"teacher_disagreement_score":0.014331911,"about_ca_system_score_codex":0.0011580985,"about_ca_system_score_gemma":0.0012413758,"threshold_uncertainty_score":0.02849698},"labels":[],"label_agreement":null},{"id":"W2904529276","doi":"10.3934/mbe.2019006","title":"Dynamics of a periodic stoichiometric model with application in predicting and controlling algal bloom in Bohai Sea off China","year":2018,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Bloom; Algal bloom; Algae; Nutrient; Light intensity; Environmental science; China; Dynamics (music); Ecology; Oceanography; Phytoplankton; Biology; Geology; Physics; Geography","score_opus":0.004008301296601534,"score_gpt":0.17531984645740253,"score_spread":0.171311545160801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904529276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93788725,0.00018511813,0.05457961,0.000582336,0.00003249366,0.000039044786,0.00019451327,0.00009521226,0.006404404],"genre_scores_gemma":[0.997054,0.000081955586,0.0017135303,0.000020685427,0.000006394884,0.00002950497,0.00004595245,0.000008044178,0.0010400494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999913,0.0000218612,0.000006021275,0.000024378794,0.0000151994545,0.000019391682],"domain_scores_gemma":[0.99981517,0.000054123324,0.000057948073,0.0000073833,0.00003613335,0.000029313545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000342033,0.0005572517,0.0004857356,0.00038842103,0.00067023555,0.00061855186,0.0008007513,0.0006587737,0.0009981295],"category_scores_gemma":[0.0007049399,0.00033251647,0.00056235306,0.00028854152,0.0008122923,0.000640108,0.0007252777,0.00034226864,0.00005102098],"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":[0.000020032297,0.000012039289,0.0026966587,0.000014821195,0.000013392029,0.000079998244,0.00003981737,0.9912941,0.0011476362,0.003669462,0.00011492073,0.00089712755],"study_design_scores_gemma":[0.000005824387,0.0000067154606,0.00047078656,8.819594e-7,0.000004583894,0.000004107463,0.000009593765,0.99872714,0.00006175087,0.00065471325,0.00005087104,0.000003081222],"about_ca_topic_score_codex":0.06397489,"about_ca_topic_score_gemma":0.027133273,"teacher_disagreement_score":0.06397489,"about_ca_system_score_codex":0.00114667,"about_ca_system_score_gemma":0.001267996,"threshold_uncertainty_score":0.12720501},"labels":[],"label_agreement":null},{"id":"W2904799185","doi":"10.3934/mbe.2019005","title":"Stoichiometric food chain model on discrete time scale","year":2018,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Discretization; Stoichiometry; Statistical physics; Population; Scale (ratio); Biological system; Mathematics; Applied mathematics; Computer science; Econometrics; Mathematical optimization; Physics; Mathematical analysis; Chemistry; Biology","score_opus":0.009506040608326612,"score_gpt":0.18482778535198327,"score_spread":0.17532174474365667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904799185","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33821663,0.001056453,0.5964775,0.0018911719,0.0003252573,0.00012837783,0.0009720567,0.00036490825,0.060567588],"genre_scores_gemma":[0.9579622,0.0006701002,0.023111453,0.00015427415,0.000082339204,0.00016884322,0.00026753134,0.0000469574,0.017536188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978846,0.000052552914,0.000013733336,0.00005265616,0.00006080393,0.000031906184],"domain_scores_gemma":[0.99948716,0.00016690644,0.00013362043,0.000049938688,0.00007577794,0.0000866613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045460594,0.0005443741,0.00061669707,0.00060479925,0.00057422515,0.001158717,0.0014034162,0.0010284646,0.0044808313],"category_scores_gemma":[0.0016545729,0.00029616625,0.0007196461,0.00058804185,0.0011660047,0.002103473,0.0008537052,0.00093408464,0.00049321016],"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":[0.00005574038,0.00005117567,0.0015159424,0.000085498374,0.000041329095,0.00038621633,0.00015431843,0.58120304,0.0038786924,0.4080067,0.00093708857,0.0036842967],"study_design_scores_gemma":[0.00001788642,0.000017687835,0.00029694225,0.0000051888146,0.000011521916,0.00005677531,0.000026137335,0.9180842,0.00017984847,0.08014719,0.0011465276,0.000010007894],"about_ca_topic_score_codex":0.005659742,"about_ca_topic_score_gemma":0.0025388747,"teacher_disagreement_score":0.005659742,"about_ca_system_score_codex":0.0010743999,"about_ca_system_score_gemma":0.0006907765,"threshold_uncertainty_score":0.0149899125},"labels":[],"label_agreement":null},{"id":"W2909794724","doi":"10.3934/mbe.2019026","title":"Identifying candidate diagnostic markers for tuberculosis: A critical role of co-expression and pathway analysis","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Biology; Gene; Mycobacterium tuberculosis; Tuberculosis; Computational biology; Gene expression; Genetics; Gene expression profiling; DNA microarray; Medicine","score_opus":0.013714842097887103,"score_gpt":0.31480831084619354,"score_spread":0.30109346874830645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909794724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9022342,0.0055875964,0.088611245,0.00076953485,0.000029080049,0.0001497793,0.0013140435,0.00029558016,0.0010089602],"genre_scores_gemma":[0.95899004,0.0010395445,0.03873453,0.000056992794,0.00001984347,0.00009964654,0.0007413867,0.000026909478,0.00029101703],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990637,0.00038419027,0.00006140927,0.00023419214,0.00015418264,0.00010223265],"domain_scores_gemma":[0.9987929,0.00066775776,0.00020463292,0.00011577715,0.00013007682,0.000088843444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012213716,0.0004913906,0.00080895924,0.0021600802,0.00051832275,0.001108397,0.00031963663,0.00027529223,0.0009919051],"category_scores_gemma":[0.0020968674,0.00016854923,0.0006778945,0.002182357,0.00038823468,0.0006859266,0.00058122486,0.0005070821,0.00021304065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015704265,0.0004467054,0.4399157,0.0013672145,0.0010025074,0.0011005875,0.000601783,0.011621781,0.33048043,0.003348467,0.000737743,0.20780668],"study_design_scores_gemma":[0.00007974448,0.0008123425,0.78595,0.00016056818,0.0010920176,0.002201484,0.001351218,0.12711821,0.05762513,0.015355489,0.008123557,0.0001302284],"about_ca_topic_score_codex":0.0008139411,"about_ca_topic_score_gemma":0.0014938989,"teacher_disagreement_score":0.0021600802,"about_ca_system_score_codex":0.00040504563,"about_ca_system_score_gemma":0.0008295386,"threshold_uncertainty_score":0.0064592957},"labels":[],"label_agreement":null},{"id":"W2916029497","doi":"10.3934/mbe.2019060","title":"Angle aided circle detection based on randomized Hough transform and its application in welding spots detection","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Ontario Tech University","funders":"","keywords":"Hough transform; Artificial intelligence; Computer vision; Computation; Computer science; Algorithm; Image processing; Image (mathematics); Sampling (signal processing); Mathematics; Filter (signal processing)","score_opus":0.004138504762609974,"score_gpt":0.20225080245814184,"score_spread":0.19811229769553187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916029497","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013113888,0.00041267573,0.9848713,0.00007348876,0.000047881833,0.000024485053,0.000017157701,0.00054431235,0.00089478976],"genre_scores_gemma":[0.38555825,0.0008286115,0.6113777,0.00008244122,0.00009764384,0.00008169745,0.00011529133,0.00010478341,0.00175358],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987446,0.00023470797,0.000058997164,0.00031744147,0.0005736721,0.000070542104],"domain_scores_gemma":[0.998855,0.00047103543,0.00012575825,0.00015820231,0.00035355383,0.00003650401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006484471,0.0005585055,0.00069675007,0.0015286802,0.00036794733,0.0007907957,0.0008972372,0.00086970127,0.0013618027],"category_scores_gemma":[0.0027162046,0.00043380907,0.00065241224,0.0015014475,0.00068522326,0.0014255967,0.0006188496,0.00050472596,0.00054695195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039573657,0.00008623512,0.003025816,0.0002378797,0.000101099926,0.00035174147,0.00022606782,0.110504314,0.14606066,0.019074721,0.0021526753,0.71778303],"study_design_scores_gemma":[0.0000324908,0.00014920418,0.0015219914,0.000011730614,0.000043639917,0.0008357174,0.000050497245,0.91281366,0.07409503,0.0035958518,0.006776765,0.00007336593],"about_ca_topic_score_codex":0.0015089659,"about_ca_topic_score_gemma":0.0009132134,"teacher_disagreement_score":0.0015286802,"about_ca_system_score_codex":0.00035446018,"about_ca_system_score_gemma":0.00065653207,"threshold_uncertainty_score":0.004555762},"labels":[],"label_agreement":null},{"id":"W2917322753","doi":"10.3934/mbe.2019064","title":"Sex-structured wild and sterile mosquito population models with different release strategies","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Insect symbiosis and bacterial influences","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Sterile insect technique; Population; Stability (learning theory); Population model; Applied mathematics; Biology; Computer science; Mathematics; Biological system; Demography; PEST analysis; Machine learning","score_opus":0.008714893657440824,"score_gpt":0.18023159872229477,"score_spread":0.17151670506485395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917322753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70162845,0.0010139883,0.27898064,0.0010540521,0.00014096418,0.000101018675,0.00049229775,0.00014414941,0.016444393],"genre_scores_gemma":[0.98283285,0.00043735703,0.0080391085,0.00009346424,0.00004191296,0.000104921935,0.00013373549,0.000021697799,0.008295032],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997806,0.00007504859,0.000013349399,0.000049195027,0.000042114953,0.000039806157],"domain_scores_gemma":[0.99941623,0.00017371828,0.00020356805,0.00003616367,0.000079720674,0.00009054607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004267502,0.0005236389,0.00076174346,0.0005040159,0.00035502817,0.00087870774,0.0017180953,0.0011460481,0.001998365],"category_scores_gemma":[0.0011316404,0.00031729575,0.0008955056,0.00035707734,0.00090349966,0.001121004,0.0007650622,0.000711725,0.00026094317],"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":[0.0001133544,0.00010841531,0.0053326287,0.00010703866,0.00014354149,0.0011145262,0.00040682603,0.81935203,0.010291785,0.15752664,0.0010237949,0.0044794176],"study_design_scores_gemma":[0.000036604135,0.00004590242,0.00063328637,0.000005436575,0.000029562474,0.000103661936,0.0000672791,0.9909073,0.00023772349,0.007473823,0.00044348132,0.000015992719],"about_ca_topic_score_codex":0.0037867455,"about_ca_topic_score_gemma":0.00229021,"teacher_disagreement_score":0.0037867455,"about_ca_system_score_codex":0.0004904636,"about_ca_system_score_gemma":0.0005550936,"threshold_uncertainty_score":0.007529378},"labels":[],"label_agreement":null},{"id":"W2922209213","doi":"10.3934/mbe.2019104","title":"Stochastic sensitivity analysis of noise-induced transitions in a predator-prey model with environmental toxins","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"stochastic dynamics and bifurcation","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Bistability; Predation; Environmental noise; Predator; Noise (video); Biological system; Sensitivity (control systems); Ecology; Statistical physics; Control theory (sociology); Physics; Biology; Computer science; Engineering; Artificial intelligence","score_opus":0.005851668428232111,"score_gpt":0.19988195345786589,"score_spread":0.19403028502963376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922209213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5285576,0.0008628489,0.45959744,0.00083166413,0.000059360988,0.00008353282,0.00021961065,0.00026872972,0.009519227],"genre_scores_gemma":[0.99550617,0.00015585667,0.0030711254,0.000036462174,0.00000920772,0.000030243542,0.000040912488,0.000017007758,0.0011328929],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999665,0.00011874302,0.000016559381,0.0000634918,0.000074449206,0.00006166355],"domain_scores_gemma":[0.99855524,0.0008666984,0.00026374814,0.000055704993,0.00016091681,0.00009764176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009226126,0.0006488109,0.00073342293,0.0011551221,0.0004718969,0.0008303701,0.0009968699,0.0010304006,0.001127407],"category_scores_gemma":[0.003664436,0.00045708756,0.0009608123,0.00038545445,0.0011994342,0.00089730474,0.0011015544,0.0007884458,0.000073737596],"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":[0.00005014429,0.000022273982,0.0016535824,0.00004975378,0.00006767294,0.00019722282,0.00008332889,0.94678664,0.004521078,0.044992197,0.00019161541,0.0013845076],"study_design_scores_gemma":[0.0000023799892,0.000006861743,0.00028471055,0.0000023601463,0.000007811398,0.000014950151,0.000006782047,0.9954919,0.00017075115,0.0039555277,0.00004940219,0.0000066114717],"about_ca_topic_score_codex":0.0057591596,"about_ca_topic_score_gemma":0.0013229746,"teacher_disagreement_score":0.0057591596,"about_ca_system_score_codex":0.0011588521,"about_ca_system_score_gemma":0.0005543982,"threshold_uncertainty_score":0.011451244},"labels":[],"label_agreement":null},{"id":"W2923491714","doi":"10.3934/mbe.2019130","title":"Hopf bifurcation in a CTL-inclusive HIV-1 infection model with two time delays","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Hopf bifurcation; Steady state (chemistry); Transcritical bifurcation; Mathematics; Bifurcation; Stability (learning theory); Basic reproduction number; Stability theory; Dynamics (music); Control theory (sociology); Bifurcation diagram; Applied mathematics; Physics; Computer science; Nonlinear system; Demography; Population; Chemistry","score_opus":0.007392373644615795,"score_gpt":0.249638662668189,"score_spread":0.2422462890235732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923491714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70878035,0.0016806901,0.24848641,0.002253915,0.00019482267,0.000094720344,0.00036976856,0.0002940018,0.037845306],"genre_scores_gemma":[0.9889591,0.00027232745,0.002729417,0.000050622617,0.000023728584,0.000043061347,0.000031488915,0.000011079633,0.00787912],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983263,0.000048239348,0.000008825994,0.000036894267,0.000027644499,0.00004567711],"domain_scores_gemma":[0.999731,0.000099883684,0.00008104873,0.0000102359545,0.000031627224,0.000046227855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031064398,0.00056895864,0.00066856534,0.0005565096,0.0006947695,0.0010850783,0.0008002224,0.0013329808,0.002522343],"category_scores_gemma":[0.00072680955,0.00029306897,0.0006910919,0.00033937732,0.0007446911,0.0010758697,0.0009930411,0.0007300013,0.00021259322],"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":[0.00020033706,0.00010348665,0.0033485817,0.00014541468,0.000105383115,0.0020998567,0.0004350793,0.870832,0.011351298,0.10536329,0.0009626139,0.0050525777],"study_design_scores_gemma":[0.00004207547,0.000045693097,0.00044047492,0.0000084824205,0.00003045184,0.00011340805,0.000055954246,0.9855978,0.0002849632,0.01294268,0.0004224293,0.000015598554],"about_ca_topic_score_codex":0.00871929,"about_ca_topic_score_gemma":0.004068219,"teacher_disagreement_score":0.00871929,"about_ca_system_score_codex":0.0011019396,"about_ca_system_score_gemma":0.00080771407,"threshold_uncertainty_score":0.017337084},"labels":[],"label_agreement":null},{"id":"W2924626094","doi":"10.3934/mbe.2019135","title":"The survival analysis of a stochastic Lotka-Volterra competition model with a coexistence equilibrium","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Competition (biology); Applied mathematics; Statistical physics; Mathematics; Convergence (economics); Exponent; Lyapunov exponent; Competition model; Lyapunov function; Mathematical optimization; Ecology; Economics; Physics; Nonlinear system; Biology","score_opus":0.021107268485851427,"score_gpt":0.26226239761557785,"score_spread":0.24115512912972642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924626094","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.433401,0.0011045926,0.54987514,0.0022349758,0.00014281184,0.00006882313,0.0001468557,0.0001836889,0.012842051],"genre_scores_gemma":[0.98838925,0.00023448854,0.006126942,0.00009772737,0.000044320885,0.00005693536,0.00004206847,0.000015516767,0.004992866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966717,0.00012843324,0.000013799673,0.000052641983,0.00007272572,0.00006520795],"domain_scores_gemma":[0.99907327,0.0004344088,0.00020408923,0.000035184396,0.00012757676,0.00012546741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096521503,0.00067133666,0.000664064,0.00082169153,0.0007915134,0.00089773786,0.0011456459,0.0014508615,0.0021957282],"category_scores_gemma":[0.0022800895,0.00037313913,0.00099391,0.00031098028,0.001511381,0.0012276272,0.0010444267,0.0008099442,0.00023942647],"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":[0.000068010995,0.000052838568,0.0027593242,0.000108472,0.000089381545,0.0005050373,0.0002658113,0.6681588,0.0068006977,0.3168753,0.00094204134,0.003374143],"study_design_scores_gemma":[0.000008038745,0.000022147606,0.00032601677,0.0000050796525,0.000011117912,0.00006880137,0.000024558758,0.9807115,0.00014231552,0.018450096,0.00021752491,0.000012814542],"about_ca_topic_score_codex":0.0050072093,"about_ca_topic_score_gemma":0.00226178,"teacher_disagreement_score":0.0050072093,"about_ca_system_score_codex":0.0013078431,"about_ca_system_score_gemma":0.0010189081,"threshold_uncertainty_score":0.009956121},"labels":[],"label_agreement":null},{"id":"W2935708879","doi":"10.3934/mbe.2019134","title":"The impacts of dispersal on the competition outcome of multi-patch competition models","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Biological dispersal; Competition (biology); Homogeneous; Competition model; Instability; Coexistence theory; Ecology; Statistical physics; Biology; Physics; Mechanics; Economics; Microeconomics","score_opus":0.03409554374404049,"score_gpt":0.28427962813483576,"score_spread":0.25018408439079526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2935708879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9315109,0.001379085,0.053791124,0.0016259932,0.00006721736,0.000033269833,0.00011526197,0.000045039073,0.011432183],"genre_scores_gemma":[0.9978077,0.0001784054,0.00089133356,0.000032361455,0.000018222254,0.000009691685,0.000015575206,0.000007074323,0.0010397759],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996673,0.00014635667,0.000013980489,0.000052860425,0.000040040126,0.000079570535],"domain_scores_gemma":[0.99821764,0.0007482209,0.00049628294,0.00007306556,0.0001669743,0.00029772831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006875127,0.0005045369,0.0006270524,0.0005170474,0.0006850786,0.0010170058,0.0010510355,0.0009380065,0.001960297],"category_scores_gemma":[0.0028849726,0.0002242521,0.00058737275,0.0003134843,0.0008468485,0.0015447909,0.0011490822,0.00057312945,0.00013332082],"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":[0.00024113162,0.00018103585,0.017858673,0.00021708543,0.00019359696,0.0018434532,0.00041432408,0.80562824,0.010135407,0.1553155,0.0016386196,0.006332965],"study_design_scores_gemma":[0.000034210472,0.00006892565,0.0029816204,0.000010513731,0.000038248887,0.0001452834,0.00009629672,0.9738699,0.0002462527,0.022173477,0.00031465245,0.000020614885],"about_ca_topic_score_codex":0.0062021413,"about_ca_topic_score_gemma":0.00389498,"teacher_disagreement_score":0.0062021413,"about_ca_system_score_codex":0.0008103479,"about_ca_system_score_gemma":0.0004426263,"threshold_uncertainty_score":0.012332082},"labels":[],"label_agreement":null},{"id":"W2937206478","doi":"10.3934/mbe.2019151","title":"Dynamics of a general model of host-symbiont interaction","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Host (biology); Dynamics (music); Bistability; Parameter space; Population; Statistical physics; Biology; Ecology; Biological system; Physics; Mathematics; Geometry","score_opus":0.012639145369621626,"score_gpt":0.2596471588067631,"score_spread":0.24700801343714146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937206478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6455806,0.0011205826,0.25370118,0.0038994073,0.00013424162,0.00018504032,0.000996672,0.00037937894,0.09400299],"genre_scores_gemma":[0.9707248,0.00060317223,0.010726381,0.00020896347,0.00004215154,0.00018586412,0.0002538681,0.000037274276,0.017217595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999713,0.00008223201,0.00001075583,0.000069085814,0.00005539017,0.00006946463],"domain_scores_gemma":[0.99963224,0.0001480171,0.00006894057,0.00003119706,0.000038021222,0.000081475155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038536402,0.00068717205,0.0011830751,0.0005475972,0.0009378958,0.0023442954,0.0021797193,0.0026966021,0.0076463944],"category_scores_gemma":[0.00144459,0.0003835341,0.00095177226,0.00091084157,0.0013426809,0.0024080286,0.0016602783,0.0011806571,0.0006540674],"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":[0.00011194614,0.00008890736,0.0015995528,0.00010624959,0.000078913574,0.00090729276,0.00038078535,0.79889953,0.0057913656,0.18712255,0.001696749,0.0032161644],"study_design_scores_gemma":[0.00010067135,0.00007574682,0.0005846975,0.000013646193,0.00002490814,0.00024923435,0.00013594022,0.9304118,0.00024163464,0.065244325,0.0028885466,0.000028887363],"about_ca_topic_score_codex":0.007578467,"about_ca_topic_score_gemma":0.0030919444,"teacher_disagreement_score":0.0076463944,"about_ca_system_score_codex":0.001265499,"about_ca_system_score_gemma":0.0009495463,"threshold_uncertainty_score":0.025579691},"labels":[],"label_agreement":null},{"id":"W2938241264","doi":"10.3934/mbe.2019152","title":"Using cultural, historical, and epidemiological data to inform, calibrate, and verify model structures in agent-based simulations","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Calibration; Replication (statistics); Process (computing); Variety (cybernetics); Agent-based model; Econometrics; Data mining; Data science; Machine learning; Artificial intelligence; Statistics; Mathematics","score_opus":0.48593366136005606,"score_gpt":0.44781387638065867,"score_spread":0.038119784979397386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938241264","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74373925,0.00024192914,0.24527775,0.0009911293,0.000055925662,0.00063944777,0.0012190831,0.00038966243,0.0074457726],"genre_scores_gemma":[0.90243006,0.00016200313,0.095891275,0.00008902099,0.000009231368,0.00040107666,0.0006367096,0.00004876943,0.00033188556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99172497,0.0064745652,0.00040140864,0.0005070853,0.0006102144,0.00028177505],"domain_scores_gemma":[0.9334603,0.05355327,0.0034022157,0.005071414,0.0040867883,0.00042613017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013514999,0.0008824609,0.00080668944,0.0013067966,0.0010495436,0.0023836473,0.002106103,0.0012934709,0.0014016558],"category_scores_gemma":[0.07314183,0.0007185678,0.0008232657,0.0014554668,0.0016095564,0.0025235084,0.0017068613,0.0021940158,0.0002123716],"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":[0.000035733417,0.000052602572,0.01038915,0.000032211632,0.00004499697,0.00003693592,0.00020389173,0.98128843,0.00019654262,0.004157208,0.00011334634,0.0034487909],"study_design_scores_gemma":[0.000041647036,0.00006426172,0.0024433662,0.000041495234,0.000037197366,0.000011009916,0.00023889086,0.9892055,0.0008991382,0.006285913,0.00069797,0.000033656943],"about_ca_topic_score_codex":0.05230525,"about_ca_topic_score_gemma":0.04653823,"teacher_disagreement_score":0.05230525,"about_ca_system_score_codex":0.004117675,"about_ca_system_score_gemma":0.002610304,"threshold_uncertainty_score":0.10400158},"labels":[],"label_agreement":null},{"id":"W2945573959","doi":"10.3934/mbe.2019219","title":"Establishing <em>Wolbachia</em> in the wild mosquito population: The effects of wind and critical patch size","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Insect symbiosis and bacterial influences","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Wolbachia; Biology; Population; Ecology; Demography; Host (biology)","score_opus":0.007384594946488991,"score_gpt":0.20587346792746647,"score_spread":0.19848887298097748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945573959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79615355,0.00060842506,0.19769403,0.00040774967,0.00005138186,0.000060015303,0.000054765544,0.00006402314,0.0049060746],"genre_scores_gemma":[0.98823404,0.00031308905,0.010329993,0.000032943593,0.000011014745,0.000029170795,0.000018339106,0.000007884227,0.001023503],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999105,0.000019244671,0.000005267205,0.000033787754,0.000012979838,0.000018223338],"domain_scores_gemma":[0.9997583,0.00007074111,0.000080866885,0.000022198325,0.000025319461,0.000042588097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031342782,0.00034031546,0.0003066793,0.00017461707,0.00032447575,0.0005267175,0.00033072388,0.00032116452,0.00083918485],"category_scores_gemma":[0.0006295306,0.00015109999,0.0003294943,0.0000637023,0.000602988,0.0007948262,0.00053283334,0.00040611057,0.000118993405],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020091746,0.00020597024,0.013925737,0.00031436275,0.00006380186,0.0009887072,0.0002750437,0.13605814,0.73370963,0.08314636,0.0008449137,0.030266428],"study_design_scores_gemma":[0.00006824869,0.00030644168,0.0071596806,0.00002454632,0.00004983719,0.0003515037,0.00030729917,0.9160879,0.060757957,0.013153537,0.0016905647,0.000042419968],"about_ca_topic_score_codex":0.0011693548,"about_ca_topic_score_gemma":0.0008705905,"teacher_disagreement_score":0.0011693548,"about_ca_system_score_codex":0.00028876716,"about_ca_system_score_gemma":0.00033856538,"threshold_uncertainty_score":0.0028073192},"labels":[],"label_agreement":null},{"id":"W2947307208","doi":"10.3934/mbe.2019251","title":"On an age structured population model with density-dependent dispersals between two patches","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Geography; Population model; Population density; Population; Demography; Biology","score_opus":0.019459910601274572,"score_gpt":0.274781999372046,"score_spread":0.25532208877077145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947307208","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3789746,0.0018931286,0.5949594,0.0022115805,0.00025589147,0.0001400027,0.0009888337,0.00019608106,0.020380432],"genre_scores_gemma":[0.9475177,0.0017403356,0.025125777,0.00033140567,0.00022404362,0.0001877155,0.0004529925,0.000047701913,0.024372319],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965525,0.000120370016,0.00001677888,0.00008625228,0.00005271682,0.00006871453],"domain_scores_gemma":[0.999014,0.00036241213,0.00029538665,0.00005131391,0.0001351565,0.0001417751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000679588,0.000726046,0.0013698322,0.0009847549,0.00064414955,0.0013340819,0.002337809,0.0023311735,0.0035951668],"category_scores_gemma":[0.0018158186,0.00039741633,0.0011942254,0.001192497,0.0010713133,0.0015248474,0.0011931333,0.0012132764,0.00075847737],"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":[0.000066770786,0.00008600834,0.0035381422,0.000101850484,0.00008276289,0.0010809114,0.00023167372,0.8739763,0.0025702117,0.11259217,0.0011459732,0.004527263],"study_design_scores_gemma":[0.000025336672,0.000043999808,0.00057486614,0.000011940506,0.000026124872,0.00011663198,0.000034434288,0.98524886,0.000057813824,0.013376426,0.00046684968,0.000016702003],"about_ca_topic_score_codex":0.0116697885,"about_ca_topic_score_gemma":0.0072204005,"teacher_disagreement_score":0.0116697885,"about_ca_system_score_codex":0.00091345405,"about_ca_system_score_gemma":0.0007701533,"threshold_uncertainty_score":0.02320373},"labels":[],"label_agreement":null},{"id":"W2947556667","doi":"10.3934/mbe.2019256","title":"Implication of sexual transmission of Zika on dengue and Zika outbreaks","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Zika virus; Dengue fever; Sexual transmission; Transmission (telecommunications); Flavivirus; Aedes aegypti; Dengue virus; Virology; Basic reproduction number; Biology; Medicine; Population; Environmental health; Virus; Ecology; Computer science; Telecommunications; Human immunodeficiency virus (HIV)","score_opus":0.006585048357216952,"score_gpt":0.23983243816532707,"score_spread":0.2332473898081101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947556667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97689724,0.000639554,0.0063632624,0.0011823617,0.000041832303,0.00003232873,0.00015062005,0.000032969034,0.014659887],"genre_scores_gemma":[0.9992323,0.00020571756,0.00019967296,0.000032977587,0.000006940174,0.000003974555,0.000019332609,0.0000016366421,0.00029737767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997714,0.00009526745,0.000008829174,0.000026829965,0.00002746035,0.00007026445],"domain_scores_gemma":[0.9991154,0.00047630994,0.00021336746,0.00003786605,0.00006500412,0.00009210234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043039705,0.00025022015,0.000275584,0.0004404471,0.0004769217,0.00072755344,0.00035064545,0.0005065251,0.003967826],"category_scores_gemma":[0.0036329613,0.00016285175,0.00048677687,0.0001920421,0.00047777986,0.0011106784,0.00084079965,0.00037538778,0.00014194295],"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":[0.0006768582,0.00044860342,0.28349867,0.00054132653,0.0004836351,0.006135867,0.00078576704,0.49520698,0.037380222,0.13343313,0.004385738,0.03702321],"study_design_scores_gemma":[0.00011253319,0.00040908903,0.08753127,0.00010507036,0.00030026998,0.0009431062,0.0011446355,0.85829836,0.0041321577,0.044773594,0.0021722566,0.00007765778],"about_ca_topic_score_codex":0.00600221,"about_ca_topic_score_gemma":0.0035693287,"teacher_disagreement_score":0.00600221,"about_ca_system_score_codex":0.0005925758,"about_ca_system_score_gemma":0.0006154214,"threshold_uncertainty_score":0.013273656},"labels":[],"label_agreement":null},{"id":"W2950027039","doi":"10.3934/mbe.2019269","title":"Numerical simulation of submerged flow bridge scour under dam-break flow using multi-phase SPH method","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Smoothed-particle hydrodynamics; Geotechnical engineering; Flow (mathematics); Sediment transport; Geology; Mechanics; Bridge (graph theory); Newtonian fluid; Sediment; Engineering; Physics; Geomorphology","score_opus":0.03137217960079053,"score_gpt":0.3236947546833322,"score_spread":0.29232257508254167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950027039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71501756,0.00042610665,0.26509115,0.00044555988,0.00014664714,0.00014676577,0.0005178112,0.0007291484,0.017479355],"genre_scores_gemma":[0.9837145,0.00013475628,0.013608297,0.000026037886,0.000017328683,0.00007642377,0.00013560778,0.00002647015,0.0022604852],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999881,0.000026566033,0.0000072728203,0.000017124861,0.00004012752,0.000027861151],"domain_scores_gemma":[0.9997712,0.0000803144,0.00004039894,0.000017099203,0.000044190638,0.000046789864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020742751,0.0005088794,0.00074558123,0.00038734075,0.0005129346,0.0005797142,0.00097230024,0.0011525842,0.0012748775],"category_scores_gemma":[0.00047352246,0.0003036026,0.0006825497,0.00041813968,0.00062371755,0.00046113154,0.0007226611,0.0005172086,0.0001410046],"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":[0.000034536406,0.000025923544,0.000719572,0.00002181768,0.000013657504,0.00011722768,0.000030752137,0.99314016,0.003207854,0.0011027104,0.000088935136,0.001496896],"study_design_scores_gemma":[0.0000053115773,0.000009393054,0.00011611862,0.0000010220622,0.000001518125,0.000004873903,0.000004583239,0.99948287,0.00021586622,0.00008867331,0.00006743099,0.000002263862],"about_ca_topic_score_codex":0.013078415,"about_ca_topic_score_gemma":0.0041871304,"teacher_disagreement_score":0.013078415,"about_ca_system_score_codex":0.00051016477,"about_ca_system_score_gemma":0.00086417457,"threshold_uncertainty_score":0.026004612},"labels":[],"label_agreement":null},{"id":"W2950778219","doi":"10.3934/mbe.2019268","title":"Nearcasting forwarding behaviors and information propagation in Chinese Sina-Microblog","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Microblogging; Social media; Computer science; Event (particle physics); China; Information Dissemination; Summative assessment; Simple (philosophy); Data science; World Wide Web; History; Statistics; Mathematics","score_opus":0.002948865908071848,"score_gpt":0.2156280045161526,"score_spread":0.21267913860808077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950778219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99638003,0.00012390975,0.0020767092,0.0001245912,0.000011421737,0.000009173747,0.00024757674,0.000021001519,0.0010056465],"genre_scores_gemma":[0.99911946,0.00006934895,0.00026309583,0.0000065832346,0.000007742144,0.0000049555147,0.00014918583,0.0000025704262,0.0003769745],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998721,0.000025703235,0.000007610531,0.000033067186,0.000030998286,0.000030519594],"domain_scores_gemma":[0.9980921,0.0009660867,0.00040044362,0.00010140919,0.00031939487,0.00012053428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083765324,0.00021812723,0.00019950434,0.0016213746,0.00065197586,0.0007129843,0.00031672002,0.00032876915,0.0013424775],"category_scores_gemma":[0.003092262,0.000159804,0.00024262833,0.0013760247,0.00037107946,0.0012163208,0.00035035808,0.00033237287,0.00013628094],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033303333,0.0001957226,0.8289442,0.00022241312,0.00019974798,0.001414694,0.005633493,0.07368381,0.0066801454,0.01945902,0.0046065296,0.058627214],"study_design_scores_gemma":[0.000011103301,0.00008505881,0.54969144,0.000027620295,0.00010444847,0.00023944282,0.0018025868,0.43740553,0.002082041,0.0056567653,0.0028268471,0.000067119145],"about_ca_topic_score_codex":0.04530113,"about_ca_topic_score_gemma":0.047187403,"teacher_disagreement_score":0.04530113,"about_ca_system_score_codex":0.0014024709,"about_ca_system_score_gemma":0.0005094048,"threshold_uncertainty_score":0.0900749},"labels":[],"label_agreement":null},{"id":"W2951993308","doi":"10.3934/mbe.2019266","title":"An IPVO-based reversible data hiding scheme using floating predictors","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Information hiding; Pixel; Embedding; Block (permutation group theory); Histogram; Algorithm; Value (mathematics); Image (mathematics); Mathematics; Fidelity; Arithmetic underflow; Block size; Computer science; Statistics; Artificial intelligence; Key (lock); Combinatorics","score_opus":0.03191674290199548,"score_gpt":0.272346860349342,"score_spread":0.24043011744734655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951993308","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15214598,0.0010149548,0.8418755,0.00016120494,0.00011774652,0.00009703779,0.00008424753,0.00078790827,0.0037154935],"genre_scores_gemma":[0.79909784,0.00068810553,0.19443223,0.00006251223,0.000040815823,0.000059962196,0.00013441306,0.000048008795,0.005436173],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99982053,0.000020426885,0.000010834699,0.000036953687,0.00008679435,0.00002453359],"domain_scores_gemma":[0.999846,0.000037797152,0.000030629217,0.000041378615,0.000032524847,0.000011615786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001661167,0.00034659344,0.0004345429,0.00033002466,0.0002745515,0.00024996907,0.00070451474,0.00031362125,0.0009688483],"category_scores_gemma":[0.00038913338,0.0001999393,0.00031335553,0.00034234484,0.00032594567,0.0011981804,0.0005720477,0.0005567425,0.0002463512],"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":[0.00042983962,0.00012894739,0.0013111781,0.00034950898,0.00006354727,0.00044108398,0.00019918522,0.09732459,0.5198958,0.02045808,0.0012654845,0.35813275],"study_design_scores_gemma":[0.000047088746,0.00043025956,0.0009097366,0.000031339307,0.000070314876,0.0009278388,0.00003669437,0.7306267,0.25701138,0.0027854973,0.007036221,0.00008690102],"about_ca_topic_score_codex":0.00075441465,"about_ca_topic_score_gemma":0.0009029679,"teacher_disagreement_score":0.0009688483,"about_ca_system_score_codex":0.00022503667,"about_ca_system_score_gemma":0.00044135368,"threshold_uncertainty_score":0.0032411218},"labels":[],"label_agreement":null},{"id":"W2952825315","doi":"10.3934/mbe.2019263","title":"Analysis on recurrence behavior in oscillating networks of biologically relevant organic reactions","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Bifurcation diagram; Saddle-node bifurcation; Bifurcation; Bifurcation theory; Hopf bifurcation; Transcritical bifurcation; Bogdanov–Takens bifurcation; Mathematics; Singular perturbation; Perturbation (astronomy); Saddle point; Biological applications of bifurcation theory; Equilibrium point; Dynamical systems theory; Pitchfork bifurcation; Statistical physics; Diagram; Applied mathematics; Infinite-period bifurcation; Mathematical analysis; Physics; Nonlinear system; Geometry; Differential equation","score_opus":0.01060871025744459,"score_gpt":0.23011186782452114,"score_spread":0.21950315756707656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952825315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5582773,0.0009443056,0.43599674,0.00020877447,0.000029237171,0.000038039187,0.000058822603,0.00017008228,0.004276765],"genre_scores_gemma":[0.98155344,0.00029300133,0.016828798,0.000020287182,0.000016523369,0.00003428858,0.000040481813,0.000021298469,0.0011918271],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989545,0.000026040629,0.00000635213,0.000022700979,0.0000335806,0.000015862943],"domain_scores_gemma":[0.9995883,0.00019093681,0.00012281198,0.000024996447,0.000049709473,0.000023180104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033474644,0.00025085916,0.00031884623,0.00064388255,0.00023357416,0.00031558008,0.00044608698,0.00035688642,0.0009481758],"category_scores_gemma":[0.0014513666,0.00012614601,0.00035684917,0.0003021294,0.0004776266,0.0006462119,0.0002850615,0.0002860634,0.00009496867],"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":[0.00014647124,0.00006866382,0.007144711,0.00026623477,0.000114719725,0.0013660473,0.00062462984,0.5895768,0.12864888,0.24058592,0.0006952203,0.030761713],"study_design_scores_gemma":[0.000005988744,0.00003218942,0.0009022814,0.0000049201026,0.000015315634,0.000112413094,0.000026421942,0.9797649,0.0032645839,0.015383169,0.00047828694,0.000009414952],"about_ca_topic_score_codex":0.0008847538,"about_ca_topic_score_gemma":0.0004916249,"teacher_disagreement_score":0.0009481758,"about_ca_system_score_codex":0.000305383,"about_ca_system_score_gemma":0.00018030715,"threshold_uncertainty_score":0.0031719208},"labels":[],"label_agreement":null},{"id":"W2953739647","doi":"10.3934/mbe.2019299","title":"Dynamic analysis of the recurrent epidemic model","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Hopf bifurcation; Stability (learning theory); Epidemic model; Mathematics; Bifurcation; Applied mathematics; Population; Mathematical economics; Age structure; Population model; Computer science; Medicine; Physics; Nonlinear system","score_opus":0.01547616130305975,"score_gpt":0.27566765410141425,"score_spread":0.2601914927983545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953739647","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23839268,0.0016688538,0.7257559,0.001683065,0.00016723046,0.0000711128,0.0004214076,0.00026747904,0.03157224],"genre_scores_gemma":[0.9698197,0.00085641345,0.012191868,0.000101281206,0.00009871063,0.00008764063,0.00022073169,0.000040774874,0.016582808],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972206,0.000083830906,0.000015104976,0.00005805773,0.00006733087,0.000053523097],"domain_scores_gemma":[0.9997434,0.000060772207,0.00008555654,0.000018022865,0.00006187227,0.000030329486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041854865,0.00052126055,0.00076320797,0.0006754668,0.0003577348,0.0008463225,0.0010625867,0.0008271679,0.002643391],"category_scores_gemma":[0.0009969828,0.00030612253,0.00094327185,0.00036936032,0.0005678764,0.0012123996,0.0008773834,0.00063602877,0.00033825036],"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":[0.000036539535,0.00003156894,0.0014322134,0.000073211646,0.00007765636,0.0006047186,0.00019131787,0.7223337,0.004731186,0.26361158,0.0013789529,0.0054973024],"study_design_scores_gemma":[0.0000053312483,0.000013058789,0.00018410955,0.0000041257917,0.000010441533,0.000063392035,0.000016943044,0.98411894,0.00011157016,0.014746811,0.0007171941,0.0000081188555],"about_ca_topic_score_codex":0.0070100427,"about_ca_topic_score_gemma":0.002544724,"teacher_disagreement_score":0.0070100427,"about_ca_system_score_codex":0.0007657267,"about_ca_system_score_gemma":0.00072613906,"threshold_uncertainty_score":0.013938487},"labels":[],"label_agreement":null},{"id":"W2955359424","doi":"10.3934/mbe.2019312","title":"Role of hypoxia-activated prodrugs in combination with radiation therapy: An <i>in silico</i> approach","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Health Foundation Limburg","keywords":"Hypoxia (environmental); Prodrug; Radiation therapy; Drug; Pharmacology; Combination therapy; Cancer research; Tirapazamine; Medicine; Biology; Chemistry; Internal medicine; Cytotoxicity; Biochemistry; Oxygen","score_opus":0.006042450142978059,"score_gpt":0.2067562470368028,"score_spread":0.20071379689382474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955359424","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4188482,0.0025967013,0.5604914,0.000868175,0.00014621044,0.00023966221,0.00084339787,0.0006654916,0.015300831],"genre_scores_gemma":[0.9101029,0.001512992,0.083321616,0.00018406175,0.000033644526,0.00024837384,0.0003469842,0.00011726744,0.004132213],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998709,0.000048311867,0.000007346373,0.000024774132,0.000031468237,0.000017099213],"domain_scores_gemma":[0.9994868,0.000361768,0.00007369569,0.000024513614,0.00003947819,0.000013741767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005276839,0.00047377954,0.00074494275,0.00032324353,0.00015394329,0.00061114546,0.0005097431,0.00066900416,0.0016722963],"category_scores_gemma":[0.001061215,0.00041215387,0.0007581178,0.00028837158,0.00028009986,0.00042705092,0.0002617797,0.0005675539,0.00030763895],"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":[0.00014152743,0.00013654932,0.001069889,0.00033961225,0.0000609639,0.000140397,0.000028844526,0.9452943,0.03938898,0.005272425,0.00036036532,0.0077660102],"study_design_scores_gemma":[0.000016447702,0.00012707987,0.00017815414,0.000007758519,0.000027231808,0.000036907724,0.0000061642368,0.98503256,0.013084521,0.00066603476,0.0008071701,0.000010011967],"about_ca_topic_score_codex":0.0022683535,"about_ca_topic_score_gemma":0.0013965353,"teacher_disagreement_score":0.0022683535,"about_ca_system_score_codex":0.00050043745,"about_ca_system_score_gemma":0.00057525944,"threshold_uncertainty_score":0.0055943727},"labels":[],"label_agreement":null},{"id":"W2963272865","doi":"10.3934/mbe.2010.7.825","title":"A stoichiometrically derived algal growth model and its global analysis","year":2010,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Algal biology and biofuel production","field":"Energy","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Trophic level; Ecological stoichiometry; Nutrient; Phosphorus; Energy flow; Algae; Population; Environmental science; Ecology; Scarcity; Biology; Mathematics; Energy (signal processing); Chemistry; Economics","score_opus":0.010825376466784584,"score_gpt":0.22973891945515032,"score_spread":0.21891354298836574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963272865","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06867434,0.0006425418,0.89141136,0.0009961752,0.00008052223,0.000065765904,0.0009876819,0.00028062784,0.03686095],"genre_scores_gemma":[0.89227295,0.0010999311,0.08769033,0.00033028473,0.00007857851,0.00037980385,0.00080744695,0.00019161956,0.017149098],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998801,0.000031722448,0.000006065199,0.000032388183,0.000033811066,0.000015863607],"domain_scores_gemma":[0.9998585,0.00004553689,0.00003494616,0.000010900759,0.000032517873,0.000017561277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028916777,0.0009347688,0.0006807888,0.0004516048,0.00041126646,0.00080174126,0.0009359444,0.0010315276,0.0016449264],"category_scores_gemma":[0.0006863274,0.0003522075,0.0007839297,0.0006685427,0.0006651734,0.0008312307,0.0014003376,0.0007910527,0.00031487443],"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":[0.000012419114,0.00001087006,0.0002998392,0.000033629156,0.000012390059,0.00008364212,0.000027416265,0.9288746,0.004126014,0.064161964,0.00041394008,0.0019432618],"study_design_scores_gemma":[0.0000055716246,0.000008226587,0.00012488397,0.0000025493168,0.0000061808864,0.000015613614,0.000007451322,0.98579514,0.0002929361,0.01287373,0.0008606522,0.0000069590274],"about_ca_topic_score_codex":0.0071247406,"about_ca_topic_score_gemma":0.004172158,"teacher_disagreement_score":0.0071247406,"about_ca_system_score_codex":0.001112653,"about_ca_system_score_gemma":0.0009051373,"threshold_uncertainty_score":0.014166534},"labels":[],"label_agreement":null},{"id":"W2964099927","doi":"10.3934/mbe.2014.11.1181","title":"Impact of delay on HIV-1 dynamics of fighting a virus withanother virus","year":2014,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Stability theory; Basic reproduction number; Equilibrium point; Stability (learning theory); Hopf bifurcation; Constant (computer programming); Mathematics; Amplitude; Applied mathematics; Statistical physics; Human immunodeficiency virus (HIV); Range (aeronautics); Control theory (sociology); Bifurcation; Physics; Mathematical analysis; Computer science; Biology; Virology; Control (management); Nonlinear system; Quantum mechanics; Differential equation; Medicine; Population; Materials science","score_opus":0.014152552715253458,"score_gpt":0.27403704483426855,"score_spread":0.2598844921190151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964099927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.853559,0.0020881216,0.12656105,0.002031955,0.00021249487,0.000083589846,0.0002447901,0.0001626609,0.015056508],"genre_scores_gemma":[0.9918315,0.0005510581,0.0037642638,0.00006944982,0.000025689455,0.000050098075,0.000041149782,0.000012249157,0.003654664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987376,0.000030557214,0.000005802593,0.000030177285,0.00002476362,0.000034851768],"domain_scores_gemma":[0.9997329,0.000084646264,0.00009256047,0.000011865175,0.00003223143,0.00004579293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002481014,0.0005829736,0.000628858,0.00040239564,0.0006426491,0.0010544695,0.0007575019,0.0011421987,0.0024541449],"category_scores_gemma":[0.0009643206,0.0002231262,0.0006150183,0.00019120984,0.0007584214,0.0011937988,0.0007838106,0.0005974387,0.00013388442],"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":[0.00013607733,0.00006963963,0.004163949,0.00011656007,0.000057734607,0.00086568226,0.00019467414,0.9189665,0.018993165,0.05314867,0.00045377476,0.0028336106],"study_design_scores_gemma":[0.000041329426,0.000094295865,0.00059548696,0.00000972915,0.000025279334,0.0001050657,0.000056493973,0.9906827,0.00072370615,0.0069001326,0.00074715953,0.000018665427],"about_ca_topic_score_codex":0.0074412124,"about_ca_topic_score_gemma":0.0034699223,"teacher_disagreement_score":0.0074412124,"about_ca_system_score_codex":0.0010309721,"about_ca_system_score_gemma":0.0008207365,"threshold_uncertainty_score":0.01479584},"labels":[],"label_agreement":null},{"id":"W2964403318","doi":"10.3934/mbe.2019336","title":"Mathematical modeling and analysis of harmful algal blooms in flowing habitats","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Compact space; Attractor; Eigenvalues and eigenvectors; Mathematical model; Computer science; Applied mathematics; Mathematics; Mathematical analysis; Physics","score_opus":0.017302014276769008,"score_gpt":0.2649606213901195,"score_spread":0.2476586071133505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964403318","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055013854,0.005685088,0.92612463,0.0016902733,0.00011953082,0.000028880235,0.00018691037,0.00007654198,0.0110743],"genre_scores_gemma":[0.88794994,0.012738201,0.084599294,0.00022938372,0.00044827754,0.00014589683,0.00026091252,0.00006149229,0.013566645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999819,0.000060797265,0.000013164791,0.000024590847,0.00006500555,0.000017544497],"domain_scores_gemma":[0.9996165,0.00016325299,0.00012499257,0.000019961195,0.00005622118,0.000019032961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045305464,0.0005314,0.00042225403,0.0007248306,0.00040349906,0.0008375416,0.0007775794,0.0007529982,0.00072525657],"category_scores_gemma":[0.0012162414,0.00023324213,0.0006506956,0.00048617477,0.0009721479,0.0013565982,0.00088713644,0.00080317,0.00017726092],"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":[0.000010840636,0.000024611634,0.0016378491,0.00016065648,0.00003532094,0.0002501846,0.00021296508,0.52160466,0.0052125,0.4607073,0.0009933915,0.0091497805],"study_design_scores_gemma":[0.0000036108456,0.000015677084,0.00050769193,0.000019241425,0.000011694411,0.000113296024,0.0000491369,0.8630707,0.000454387,0.13269155,0.0030489347,0.000014127841],"about_ca_topic_score_codex":0.0024643876,"about_ca_topic_score_gemma":0.0014282953,"teacher_disagreement_score":0.0024643876,"about_ca_system_score_codex":0.0006200836,"about_ca_system_score_gemma":0.0006022806,"threshold_uncertainty_score":0.0049001575},"labels":[],"label_agreement":null},{"id":"W2965715355","doi":"10.3934/mbe.2019338","title":"Rapidly forming, slowly evolving, spatial patterns from quasi-cycle Mexican Hat coupling","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Amplitude; Physics; Coupling (piping); Statistical physics; Synchronization (alternating current); Phase synchronization; Pattern formation; Spatial ecology; Phase (matter); Mathematics; Topology (electrical circuits); Quantum mechanics; Combinatorics; Materials science","score_opus":0.01185341307153615,"score_gpt":0.22029139839762757,"score_spread":0.20843798532609142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965715355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84688044,0.00029468955,0.14500535,0.0003101512,0.000049175575,0.000052717853,0.00010521036,0.00033789274,0.006964437],"genre_scores_gemma":[0.9901231,0.00011905634,0.008258988,0.000036509162,0.000012897433,0.000033320055,0.00006692482,0.000027162918,0.0013221104],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998909,0.000022879378,0.000004991793,0.0000218282,0.000035055175,0.000024317653],"domain_scores_gemma":[0.99964917,0.0000898628,0.000098453944,0.00006423173,0.000043922537,0.000054358214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019590654,0.00020393696,0.00018438151,0.00041764427,0.0002490622,0.0005697466,0.00039364686,0.00041843258,0.0015368287],"category_scores_gemma":[0.0012958803,0.00023528944,0.00025357382,0.00023380031,0.00080900046,0.0006049033,0.00042587382,0.00039743696,0.00020626822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035763002,0.00014771681,0.010951633,0.000272379,0.00011230921,0.0014088834,0.0012075322,0.1683,0.5076111,0.26438877,0.003281588,0.041960523],"study_design_scores_gemma":[0.00004332481,0.00010851143,0.013100353,0.000016161424,0.000021185726,0.00071814726,0.00015241507,0.8853997,0.03246438,0.06531434,0.0026012731,0.000060147966],"about_ca_topic_score_codex":0.00056952075,"about_ca_topic_score_gemma":0.00039214813,"teacher_disagreement_score":0.0015368287,"about_ca_system_score_codex":0.00033682177,"about_ca_system_score_gemma":0.00022742403,"threshold_uncertainty_score":0.005141139},"labels":[],"label_agreement":null},{"id":"W2969098368","doi":"10.3934/mbe.2019376","title":"Combined effect of M/A constituent and grain boundary on the impact toughness of CGHAZ and ICCGHAZ of E550 grade offshore engineering steel","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Charpy impact test; Materials science; Bainite; Grain boundary; Microstructure; Toughness; Brittleness; Nucleation; Fracture toughness; Metallurgy; Composite material; Austenite; Chemistry","score_opus":0.00570580590027293,"score_gpt":0.20279810677390442,"score_spread":0.1970923008736315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969098368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99927086,0.00008830862,0.00030564444,0.000005264312,0.0000020302257,0.0000034954658,0.000048300975,0.000011691769,0.00026446805],"genre_scores_gemma":[0.999321,0.00004067042,0.0002688398,0.000005034928,9.0643186e-7,0.0000034405928,0.0000616411,0.0000068671466,0.00029166925],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990296,0.000005014546,0.0000052280698,0.000030633535,0.000035005116,0.000021051328],"domain_scores_gemma":[0.9998946,0.000014395643,0.000027791048,0.000008678616,0.000035444653,0.000019157533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000080300524,0.00017759757,0.00015271983,0.00024850146,0.00017275117,0.00017338154,0.00013590032,0.00017377679,0.0010031783],"category_scores_gemma":[0.00020505753,0.0001616996,0.00014612917,0.00013499972,0.00024589477,0.00014325073,0.00014442406,0.0002073589,0.00009256905],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009828306,0.0000055885475,0.002277766,0.000028294724,0.000005102552,0.00005077284,0.000030838077,0.00046662972,0.9959745,0.000020844447,0.000014887098,0.0010264998],"study_design_scores_gemma":[0.00001035981,0.0003265469,0.11311292,0.000006279301,0.000030587773,0.00012349641,0.00013160286,0.003603756,0.881843,0.000027286502,0.0007705152,0.000013633528],"about_ca_topic_score_codex":0.0036725437,"about_ca_topic_score_gemma":0.008903415,"teacher_disagreement_score":0.0036725437,"about_ca_system_score_codex":0.0002158926,"about_ca_system_score_gemma":0.00011072304,"threshold_uncertainty_score":0.007302344},"labels":[],"label_agreement":null},{"id":"W2971862287","doi":"10.3934/mbe.2019407","title":"Effect of adaptive rewiring delay in an SIS network epidemic model","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Limit cycle; Limit (mathematics); Computer science; State space; Steady state (chemistry); Parameter space; Network model; Control theory (sociology); Term (time); Process (computing); State (computer science); Mathematics; Physics; Statistics; Algorithm; Mathematical analysis; Artificial intelligence; Control (management)","score_opus":0.008902651799058437,"score_gpt":0.26052263032357587,"score_spread":0.25161997852451745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971862287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85912764,0.0009008324,0.12949848,0.0009326857,0.00019023403,0.0000611127,0.0001833403,0.00021952359,0.0088862395],"genre_scores_gemma":[0.99672914,0.0002511494,0.0015813404,0.00003231227,0.000015472533,0.000015971726,0.000021807911,0.0000073068327,0.0013455321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998273,0.00005517501,0.000011210113,0.000038139962,0.000027726359,0.000040436444],"domain_scores_gemma":[0.9992041,0.00034363838,0.00022690724,0.000044789987,0.000086699656,0.00009380772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046620079,0.00061324594,0.0005216246,0.0005798725,0.0003741384,0.00079336803,0.0007868449,0.00087852863,0.0014692317],"category_scores_gemma":[0.0020799243,0.00026343163,0.00056478963,0.0002857829,0.000742186,0.0012665023,0.0006219272,0.00058348477,0.00009072363],"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":[0.00016992415,0.00006545446,0.003350584,0.00010016112,0.00008482149,0.00057203125,0.00010978109,0.95303106,0.009094569,0.029328592,0.0005764342,0.0035166384],"study_design_scores_gemma":[0.000021948572,0.000062357554,0.00043049327,0.00000655693,0.000030632298,0.000049918544,0.000033790788,0.9939626,0.00049001,0.004683293,0.000216742,0.00001164199],"about_ca_topic_score_codex":0.0048908563,"about_ca_topic_score_gemma":0.0021459698,"teacher_disagreement_score":0.0048908563,"about_ca_system_score_codex":0.0005434971,"about_ca_system_score_gemma":0.00038309707,"threshold_uncertainty_score":0.009724796},"labels":[],"label_agreement":null},{"id":"W2996034604","doi":"10.3934/mbe.2020087","title":"Dynamics of a reaction-diffusion SIRI model with relapse and free boundary","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Uniqueness; Dichotomy; Diffusion; Reaction–diffusion system; Bilinear interpolation; Mathematics; Boundary (topology); Free boundary problem; Incidence (geometry); Boundary value problem; Applied mathematics; Mathematical analysis; Physics; Thermodynamics; Geometry; Statistics","score_opus":0.00892650268912338,"score_gpt":0.2272369649719605,"score_spread":0.21831046228283713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996034604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6326427,0.00238309,0.32258642,0.007880982,0.0004036396,0.00018940501,0.0005393599,0.0004065622,0.03296784],"genre_scores_gemma":[0.9812336,0.00044838834,0.0058170734,0.0001792647,0.00008202422,0.0001033992,0.00011421348,0.000030889132,0.011991213],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995047,0.00015160907,0.000028549297,0.000119938704,0.000078057514,0.00011717508],"domain_scores_gemma":[0.99894136,0.00036684808,0.00028306883,0.000047566435,0.000112949325,0.0002482629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011101131,0.00086570217,0.0016453776,0.00083601545,0.0008175705,0.0018563918,0.0019836295,0.0032375278,0.0037165547],"category_scores_gemma":[0.002786221,0.0005058166,0.0012393265,0.0004799814,0.0018781618,0.0020053822,0.0018704721,0.0017829363,0.0003981937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004498793,0.00021316699,0.00557221,0.00037617705,0.00016940088,0.003568839,0.001069167,0.4325884,0.020015616,0.52634335,0.0029150483,0.0067188167],"study_design_scores_gemma":[0.00007670482,0.000097346354,0.0005598478,0.000026416716,0.000045355693,0.00036847888,0.00019885965,0.95388633,0.0007265949,0.043102816,0.00086505915,0.000046112713],"about_ca_topic_score_codex":0.0052175536,"about_ca_topic_score_gemma":0.0016136582,"teacher_disagreement_score":0.0052175536,"about_ca_system_score_codex":0.0010893357,"about_ca_system_score_gemma":0.0009060472,"threshold_uncertainty_score":0.012433112},"labels":[],"label_agreement":null},{"id":"W2996570652","doi":"10.3934/mbe.2020099","title":"The spread of influenza-like-illness within the household in Shanghai, China","year":2019,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Outbreak; China; Transmission (telecommunications); Shanghai china; Environmental health; Geography; Disease transmission; Infectious disease (medical specialty); Incidence (geometry); Demography; Socioeconomics; Medicine; Disease; Virology; Economics","score_opus":0.03853001883115543,"score_gpt":0.3100231053301313,"score_spread":0.27149308649897586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996570652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99967337,0.0000608853,0.00008833374,0.000023408991,0.000001183516,0.0000030365984,0.000054966793,0.0000013013226,0.00009358847],"genre_scores_gemma":[0.99975806,0.00005406338,0.000044744695,0.0000055371825,0.0000013449529,0.0000017564963,0.000061540864,2.4828145e-7,0.00007271333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978906,0.000063410596,0.000016936405,0.000040880368,0.000029852237,0.00005990618],"domain_scores_gemma":[0.9995703,0.000061097715,0.00014887203,0.000024760922,0.00006746049,0.00012749582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037496322,0.0003022942,0.00017549339,0.0010405752,0.00057636335,0.00038633952,0.00023007746,0.00016320351,0.000523061],"category_scores_gemma":[0.0004650745,0.00019266715,0.00028287346,0.0010889284,0.0003542732,0.00030505183,0.00036735312,0.0001501167,0.000057780715],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024086474,0.000018692348,0.99559575,0.000021259604,0.00005263218,0.00025545844,0.0009320251,0.0005239237,0.0007064066,0.00010593643,0.000105031264,0.0016588735],"study_design_scores_gemma":[0.000001672493,0.000028132115,0.9977252,0.000002768988,0.000020434507,0.000063307525,0.00094876066,0.0010404573,0.000065648666,0.000029747944,0.00007003824,0.0000038110131],"about_ca_topic_score_codex":0.14189026,"about_ca_topic_score_gemma":0.14769459,"teacher_disagreement_score":0.14189026,"about_ca_system_score_codex":0.0011287867,"about_ca_system_score_gemma":0.00087927986,"threshold_uncertainty_score":0.28212875},"labels":[],"label_agreement":null},{"id":"W2999514669","doi":"10.3934/mbe.2020116","title":"Information theoretic measures of perinatal cardiotocography synchronization","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Mutual information; Transfer entropy; Information transfer; Cardiotocography; Pathological; Conditional entropy; Bivariate analysis; Fetal heart rate; Synchronization (alternating current); Entropy (arrow of time); Fetus; Statistics; Mathematics; Medicine; Internal medicine; Heart rate; Pregnancy; Principle of maximum entropy; Blood pressure; Biology; Physics","score_opus":0.01192413819958176,"score_gpt":0.21780854624383722,"score_spread":0.20588440804425545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999514669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7175821,0.0010149959,0.2763712,0.00022276564,0.0000303129,0.00004561424,0.0005093239,0.00011233464,0.0041113663],"genre_scores_gemma":[0.98986465,0.000120960765,0.009594443,0.000010893977,0.00001877119,0.000020141948,0.00012324232,0.0000100192765,0.00023685137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992249,0.00030800223,0.000059090646,0.0001334079,0.00021850897,0.000056179164],"domain_scores_gemma":[0.992416,0.005194928,0.0013002366,0.0004017219,0.00049488706,0.00019210632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018505272,0.0003746229,0.00030011922,0.002280479,0.0001792866,0.00087124197,0.000311973,0.00036128235,0.0006391643],"category_scores_gemma":[0.012694134,0.0001538391,0.0003019244,0.0009871644,0.0007314403,0.0010252695,0.0007656545,0.00033615675,0.00008433875],"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":[0.0010121061,0.00020795171,0.17374456,0.0004073575,0.00061254826,0.0008566952,0.00085393334,0.46613002,0.04938208,0.1245009,0.0007761027,0.18151578],"study_design_scores_gemma":[0.000021158505,0.0006098906,0.16609377,0.00005938421,0.00012199218,0.0007989566,0.0002585759,0.7556184,0.012331083,0.06296381,0.0009991664,0.00012386378],"about_ca_topic_score_codex":0.00055312726,"about_ca_topic_score_gemma":0.00031065522,"teacher_disagreement_score":0.002280479,"about_ca_system_score_codex":0.00069639424,"about_ca_system_score_gemma":0.000349354,"threshold_uncertainty_score":0.009786665},"labels":[],"label_agreement":null},{"id":"W2999562475","doi":"10.3934/mbe.2020115","title":"Complexity dynamics and simulations in a discrete switching ecosystem induced by an intermittent threshold control strategy","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Complex dynamics; Computer science; Economic threshold; Chaotic; Control theory (sociology); Controller (irrigation); Control (management); Integrated pest management; Ecology; PEST analysis; Mathematics; Biology; Artificial intelligence","score_opus":0.04598989496807127,"score_gpt":0.2929940462925842,"score_spread":0.24700415132451292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999562475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9707199,0.00017998504,0.018017337,0.00065676327,0.000040840907,0.000024964163,0.00018530758,0.000088622124,0.010086228],"genre_scores_gemma":[0.996518,0.00006661692,0.002238898,0.000041782492,0.000007881966,0.00002536405,0.00006369787,0.000009736485,0.0010280041],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987626,0.000038544393,0.0000071349195,0.00001920295,0.00002024583,0.000038564318],"domain_scores_gemma":[0.99937916,0.00030501682,0.00011038626,0.00003825482,0.000053656142,0.00011353622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025077522,0.0002995415,0.0004921394,0.0006348193,0.00056692486,0.00077741855,0.00065048505,0.0009318561,0.0022889103],"category_scores_gemma":[0.0012250225,0.00019655206,0.0007805415,0.00029570214,0.0007101694,0.00083035236,0.0007206639,0.00068154157,0.000104639934],"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":[0.00011341607,0.00015113615,0.0069429902,0.00006149401,0.00007524601,0.00036101934,0.00022258073,0.95423084,0.003932872,0.030606112,0.0006787763,0.0026233988],"study_design_scores_gemma":[0.000015747648,0.00002019192,0.0007508565,0.0000032498474,0.00000808824,0.000013989122,0.00003790801,0.99518543,0.0001142244,0.0037090275,0.00013562401,0.000005598731],"about_ca_topic_score_codex":0.010005793,"about_ca_topic_score_gemma":0.00531186,"teacher_disagreement_score":0.010005793,"about_ca_system_score_codex":0.00067949895,"about_ca_system_score_gemma":0.00046104103,"threshold_uncertainty_score":0.019895136},"labels":[],"label_agreement":null},{"id":"W2999712996","doi":"10.3934/mbe.2020119","title":"Discrete attachment to a cellulolytic biofilm modeled by an Itô stochastic differential equation","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Ode; Stochastic differential equation; Applied mathematics; Ordinary differential equation; Mathematics; Nonlinear system; Convergence (economics); Stochastic process; Biological system; Sensitivity (control systems); Statistical physics; Differential equation; Mathematical analysis; Physics; Statistics; Engineering","score_opus":0.02932267088554698,"score_gpt":0.2564304610295455,"score_spread":0.22710779014399848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999712996","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2825897,0.00092393893,0.6947886,0.0017657855,0.00026426872,0.00008295362,0.0003385478,0.00020110102,0.019045116],"genre_scores_gemma":[0.94253504,0.0007963609,0.033799004,0.0003441877,0.000099483375,0.00021518739,0.0001773126,0.000052669555,0.02198075],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997017,0.000067151996,0.000015946256,0.00007339084,0.00009602498,0.000045729004],"domain_scores_gemma":[0.9995028,0.00021857684,0.00012882156,0.00003273761,0.00006480564,0.00005231645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005899264,0.00060352904,0.0009405033,0.00046940093,0.00049595133,0.0012194332,0.0016415226,0.0021981555,0.0018632546],"category_scores_gemma":[0.0012160185,0.00047046505,0.0009377492,0.00052691036,0.0015742561,0.00084582873,0.0014056888,0.0011791184,0.0003108564],"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":[0.000029578869,0.00006307144,0.0013155276,0.000062417006,0.000031023053,0.00031327215,0.00012943678,0.9060281,0.012397558,0.07660553,0.00036794652,0.0026565986],"study_design_scores_gemma":[0.00000770881,0.00001245475,0.0001394288,0.0000030038484,0.000004359937,0.000020376981,0.000009306053,0.99676275,0.00022736947,0.002566136,0.00024057983,0.0000064853366],"about_ca_topic_score_codex":0.011558313,"about_ca_topic_score_gemma":0.0045584696,"teacher_disagreement_score":0.011558313,"about_ca_system_score_codex":0.0012963925,"about_ca_system_score_gemma":0.00086410786,"threshold_uncertainty_score":0.02298212},"labels":[],"label_agreement":null},{"id":"W3006378815","doi":"10.3934/mbe.2020363","title":"Rich dynamics of a three-tiered anaerobic food-web in a chemostat with multiple substrate inflow","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Chemostat; Hopf bifurcation; Inflow; Biological system; Bifurcation; Mathematics; Substrate (aquarium); Food web; Control theory (sociology); Applied mathematics; Computer science; Ecology; Biochemical engineering; Mechanics; Biology; Physics; Engineering","score_opus":0.017560309309426755,"score_gpt":0.22357780106712496,"score_spread":0.2060174917576982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006378815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97555155,0.00012686016,0.01784314,0.00048680717,0.000021413838,0.000030095369,0.00023985529,0.000095264564,0.0056049493],"genre_scores_gemma":[0.9961367,0.0000738001,0.0019160298,0.000035003646,0.000005374089,0.000027998298,0.000048504317,0.000008440449,0.001748119],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991596,0.000021274456,0.0000063191733,0.000021031454,0.000014520445,0.000020851276],"domain_scores_gemma":[0.999728,0.00008331033,0.000065429085,0.000011751794,0.000027729238,0.000083693136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021919886,0.0003338725,0.0005028577,0.0005702616,0.00075499894,0.0011830144,0.000603113,0.0012391548,0.0016269882],"category_scores_gemma":[0.0005489421,0.000329121,0.00056971674,0.00032960204,0.0010653853,0.00089533324,0.001133237,0.0005210137,0.00012663024],"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":[0.00022407604,0.00011276765,0.010470617,0.00008603538,0.00008771891,0.0011032382,0.00017827134,0.93409973,0.024920417,0.02624058,0.0004984972,0.001978066],"study_design_scores_gemma":[0.000023625535,0.000040070896,0.0023611502,0.000005404791,0.000011488192,0.000060641116,0.000052231808,0.9939043,0.00041688068,0.0029709886,0.00013536304,0.000017898268],"about_ca_topic_score_codex":0.015083632,"about_ca_topic_score_gemma":0.008653135,"teacher_disagreement_score":0.015083632,"about_ca_system_score_codex":0.0010163515,"about_ca_system_score_gemma":0.00084973656,"threshold_uncertainty_score":0.029991686},"labels":[],"label_agreement":null},{"id":"W3006662660","doi":"10.3934/mbe.2020126","title":"Application of control theory in a delayed-infection and immune-evading oncolytic virotherapy","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Oncolytic virus; Virotherapy; Immune system; Virus; Infectivity; Virology; Biology; Cancer research; Immunology","score_opus":0.008886100821742841,"score_gpt":0.26410935812971537,"score_spread":0.2552232573079725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006662660","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07177606,0.0014988469,0.9056207,0.0018044601,0.0001992064,0.00010161648,0.00007023172,0.00010142139,0.018827325],"genre_scores_gemma":[0.91254556,0.0011182056,0.073426135,0.00043271063,0.00012520235,0.00023033813,0.00003927025,0.00006898325,0.012013633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996216,0.00013265193,0.000011391103,0.000071488656,0.000113458766,0.000049302504],"domain_scores_gemma":[0.99943644,0.00033790618,0.000106782,0.0000238669,0.00006313749,0.000031859687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008837613,0.0006177023,0.0006087695,0.0005745241,0.00038328647,0.00082942395,0.0006787608,0.0009594091,0.0015837981],"category_scores_gemma":[0.0015407036,0.00032547087,0.00076776015,0.00023523672,0.0017566051,0.0007218695,0.0007693153,0.0010924647,0.00012713938],"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":[0.000052080715,0.00007877043,0.00036575596,0.00014784945,0.000026705406,0.00015193336,0.00011096437,0.59745365,0.027303971,0.36810786,0.0005820869,0.005618453],"study_design_scores_gemma":[0.000017996597,0.00005215549,0.00009873823,0.0000086021655,0.000007102654,0.000018834819,0.000010179633,0.96455216,0.0014514646,0.03302423,0.0007477701,0.000010724186],"about_ca_topic_score_codex":0.0036582195,"about_ca_topic_score_gemma":0.0016721969,"teacher_disagreement_score":0.0036582195,"about_ca_system_score_codex":0.002083738,"about_ca_system_score_gemma":0.00092849677,"threshold_uncertainty_score":0.015118599},"labels":[],"label_agreement":null},{"id":"W3010408744","doi":"10.3934/mbe.2020146","title":"COVID-19 information propagation dynamics in the Chinese Sina-microblog","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Microblogging; Social media; Public opinion; Coronavirus disease 2019 (COVID-19); Computer science; Data science; Basic reproduction number; Epidemic model; Information Dissemination; Public health; China; Pandemic; Internet privacy; Geography; Political science; World Wide Web; Sociology; Medicine; Demography; Infectious disease (medical specialty)","score_opus":0.009044022888653074,"score_gpt":0.25213291277570327,"score_spread":0.24308888988705019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010408744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99140584,0.00017672672,0.0045537385,0.00061639526,0.000029869941,0.000027470833,0.00039047704,0.000052693144,0.0027466863],"genre_scores_gemma":[0.99829596,0.00007919131,0.0004682822,0.00003622708,0.000013265091,0.000016588796,0.00021045347,0.000004783236,0.00087541796],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973196,0.000057683785,0.000010956041,0.00006334303,0.00006407882,0.000071870214],"domain_scores_gemma":[0.99863166,0.00060465967,0.00027176467,0.00006778674,0.000305678,0.00011841954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001116705,0.00031317843,0.0003010652,0.0009987492,0.00065906165,0.0007506447,0.000567154,0.0005807583,0.0017708981],"category_scores_gemma":[0.0033594703,0.00015305777,0.00043337012,0.0006539352,0.00046034207,0.0014146765,0.00046583032,0.0005452579,0.00026529227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006753293,0.00036830633,0.5667624,0.0004653282,0.0002743874,0.0024960896,0.006765755,0.26101565,0.016836602,0.060859587,0.018090378,0.06539022],"study_design_scores_gemma":[0.000030202747,0.00008433821,0.11365668,0.000021670257,0.000067806184,0.00016682809,0.00082435686,0.8754062,0.0011878217,0.005864341,0.0026419486,0.000047820897],"about_ca_topic_score_codex":0.04245295,"about_ca_topic_score_gemma":0.02493664,"teacher_disagreement_score":0.04245295,"about_ca_system_score_codex":0.0014825651,"about_ca_system_score_gemma":0.0006633979,"threshold_uncertainty_score":0.08441174},"labels":[],"label_agreement":null},{"id":"W3018615083","doi":"10.3934/mbe.2020188","title":"A novel approach to modelling the spatial spread of airborne diseases: an epidemic model with indirect transmission","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ode; Ordinary differential equation; Transmission (telecommunications); Epidemic model; Partial differential equation; Population; Applied mathematics; Mathematics; Basic reproduction number; Diffusion; Nonlinear system; Differential equation; Mathematical analysis; Biological system; Biology; Physics; Computer science; Telecommunications; Medicine","score_opus":0.20351016297027694,"score_gpt":0.33561586177102315,"score_spread":0.1321056988007462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018615083","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08213839,0.0007785284,0.9081125,0.00059805805,0.00012590685,0.0000765466,0.00020484914,0.00006931164,0.007895903],"genre_scores_gemma":[0.8466598,0.0018950636,0.13919324,0.00019521468,0.00023967295,0.00026680366,0.00022217914,0.00005993641,0.01126795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978274,0.00007117036,0.00001593581,0.000047019745,0.000054737393,0.000028407896],"domain_scores_gemma":[0.99972516,0.00011583826,0.000055084987,0.000024184625,0.00005337605,0.000026372107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034213733,0.00081021554,0.00073282106,0.0006699309,0.00029838827,0.0009087655,0.0013398157,0.0013406364,0.0009864988],"category_scores_gemma":[0.0011938972,0.00032818574,0.0014001335,0.00052235177,0.0005398819,0.0010386241,0.0012637428,0.0010212443,0.00019528178],"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":[0.00002101557,0.00008397102,0.0024146861,0.000118411794,0.00009311353,0.0005004744,0.00018300771,0.90081584,0.008210832,0.078508675,0.00054046005,0.008509439],"study_design_scores_gemma":[0.000008819442,0.000033764238,0.00024003597,0.0000073087513,0.000024711677,0.00009168946,0.000015104707,0.9900476,0.00034199515,0.008064234,0.0011163938,0.000008314988],"about_ca_topic_score_codex":0.0036012253,"about_ca_topic_score_gemma":0.0022263275,"teacher_disagreement_score":0.0036012253,"about_ca_system_score_codex":0.000438911,"about_ca_system_score_gemma":0.0007106416,"threshold_uncertainty_score":0.0071605444},"labels":[],"label_agreement":null},{"id":"W3019597059","doi":"10.3934/mbe.2020182","title":"Robust table recognition for printed document images","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Alberta","funders":"","keywords":"Computer science; Artificial intelligence; Robustness (evolution); Table (database); Preprocessor; Pattern recognition (psychology); Distortion (music); Computer vision; Data mining","score_opus":0.038069203800892876,"score_gpt":0.24124769122178588,"score_spread":0.203178487420893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019597059","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05653618,0.0011632808,0.9238552,0.00020728221,0.00027289693,0.00012940513,0.00074871694,0.01258479,0.00450222],"genre_scores_gemma":[0.46377996,0.0009791178,0.5206068,0.00029014962,0.00015252893,0.00010701795,0.002667584,0.0005455498,0.010871342],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993907,0.00004876952,0.00004133036,0.00017844066,0.00028138058,0.0000593424],"domain_scores_gemma":[0.99944085,0.00012432096,0.00008232079,0.00013650408,0.00019032766,0.000025675101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034309368,0.0006767981,0.0007011102,0.0011451265,0.00020775094,0.0009659441,0.00083939114,0.00064530014,0.006320189],"category_scores_gemma":[0.0014766762,0.00023867389,0.00070583465,0.0008765687,0.00032769612,0.0011618935,0.0004961629,0.0005982638,0.0035026963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005272497,0.000059387305,0.001002114,0.00029375814,0.000082187806,0.0003983896,0.00006300608,0.022481479,0.2594543,0.0017565741,0.009385766,0.7044957],"study_design_scores_gemma":[0.000028699915,0.00022731377,0.0049561993,0.000041037052,0.00006308026,0.0008748382,0.000084116444,0.67904764,0.29906294,0.0018741604,0.013672787,0.000067188055],"about_ca_topic_score_codex":0.0017560316,"about_ca_topic_score_gemma":0.0020421972,"teacher_disagreement_score":0.006320189,"about_ca_system_score_codex":0.00038093567,"about_ca_system_score_gemma":0.00031840726,"threshold_uncertainty_score":0.021143079},"labels":[],"label_agreement":null},{"id":"W3021747529","doi":"10.3934/mbe.2020191","title":"Achieving better connections between deposited lines in additive manufacturing via machine learning","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Connection (principal bundle); Fused deposition modeling; Process (computing); Computer science; Artificial intelligence; Artificial neural network; Path (computing); Layer (electronics); Machine learning; Industrial engineering; Mechanical engineering; Algorithm; Engineering; 3D printing; Materials science; Nanotechnology","score_opus":0.015604926648858907,"score_gpt":0.21125589247090965,"score_spread":0.19565096582205074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021747529","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2951228,0.00058159756,0.70048136,0.0002935524,0.000050800816,0.0000520333,0.000099027035,0.001267343,0.0020514093],"genre_scores_gemma":[0.9071052,0.00020197933,0.09109757,0.00007385536,0.000013409026,0.000047834823,0.00013663621,0.000034425128,0.0012890183],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997098,0.000056194367,0.000018917199,0.000097771896,0.00008339434,0.00003388403],"domain_scores_gemma":[0.9988446,0.00067121786,0.00019115028,0.000117806725,0.00015011142,0.000025054433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061382836,0.000778967,0.0005331425,0.00062439946,0.0003853361,0.00078181556,0.00075488095,0.00094770564,0.0009484257],"category_scores_gemma":[0.0025654205,0.0005298096,0.00065096264,0.0005725316,0.000588666,0.001314697,0.0004068926,0.0010400143,0.00030527147],"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":[0.00007632827,0.00010379952,0.0028292807,0.000072594055,0.000033698034,0.00009816067,0.000062218,0.89692765,0.009249133,0.0011999533,0.00034570138,0.08900143],"study_design_scores_gemma":[0.0000017568836,0.000019977833,0.0003916433,0.0000035050641,0.000004613378,0.000010817816,0.0000047799563,0.99604106,0.002599074,0.00079776946,0.00012105602,0.000004029482],"about_ca_topic_score_codex":0.004678926,"about_ca_topic_score_gemma":0.0052599614,"teacher_disagreement_score":0.004678926,"about_ca_system_score_codex":0.00078819,"about_ca_system_score_gemma":0.00062881305,"threshold_uncertainty_score":0.009303391},"labels":[],"label_agreement":null},{"id":"W3039110806","doi":"10.3934/mbe.2020257","title":"Global dynamics of a delayed diffusive virus infection model with cell-mediated immunity and cell-to-cell transmission","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Uniqueness; Basic reproduction number; Lyapunov function; Steady state (chemistry); Stability theory; Transmission (telecommunications); Mathematics; Dynamics (music); Immunity; Applied mathematics; Control theory (sociology); Mathematical analysis; Physics; Biology; Computer science; Immune system; Control (management); Immunology; Nonlinear system; Chemistry; Telecommunications","score_opus":0.01087855097905035,"score_gpt":0.2306321418467732,"score_spread":0.21975359086772284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039110806","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37745315,0.0013827473,0.6044154,0.0011814336,0.00015590178,0.000072580966,0.00027049705,0.00019955875,0.014868665],"genre_scores_gemma":[0.9801783,0.0005749076,0.008699008,0.000074562326,0.000042402735,0.00009168368,0.00008203382,0.000019340374,0.010237861],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984074,0.00003842598,0.0000072709317,0.00005036315,0.00003100908,0.00003223515],"domain_scores_gemma":[0.99979764,0.000052409097,0.000064681124,0.000010402839,0.000043081243,0.000031766576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028442816,0.00076248933,0.00073251873,0.00044169417,0.0004130325,0.0010038825,0.0008668371,0.0009404795,0.0014327023],"category_scores_gemma":[0.0005355635,0.00032274958,0.00083670835,0.00026260913,0.0007252994,0.0010626875,0.00092920166,0.0006451922,0.00015794057],"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":[0.00008197197,0.000046735633,0.0026607406,0.00012396643,0.000084089326,0.0007053069,0.00022390825,0.8841977,0.018853955,0.08823497,0.00057817675,0.0042086006],"study_design_scores_gemma":[0.0000146965085,0.000043319367,0.0002952872,0.000004895177,0.000022861099,0.00006604451,0.00002968666,0.9929,0.000426573,0.0056711747,0.00051453523,0.00001100344],"about_ca_topic_score_codex":0.006748093,"about_ca_topic_score_gemma":0.0027621305,"teacher_disagreement_score":0.006748093,"about_ca_system_score_codex":0.00095799833,"about_ca_system_score_gemma":0.0007771993,"threshold_uncertainty_score":0.013417602},"labels":[],"label_agreement":null},{"id":"W3043430581","doi":"10.3934/mbe.2020268","title":"Some new mathematical models of the fractional-order system of human immune against IAV infection","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Fractional Differential Equations Solutions","field":"Mathematics","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Fractional calculus; Lagrange polynomial; Mathematics; Nonlinear system; Applied mathematics; Integer (computer science); Interpolation (computer graphics); Polynomial; Exponential function; Mathematical analysis; Computer science; Physics","score_opus":0.057775110947009815,"score_gpt":0.2824000940260527,"score_spread":0.22462498307904288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043430581","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14837582,0.0014455748,0.831193,0.0010514935,0.00026603142,0.00010672381,0.0002197177,0.000193883,0.0171478],"genre_scores_gemma":[0.9433107,0.001184088,0.04657362,0.0001872222,0.00012194941,0.00019688235,0.0001375672,0.000026282816,0.008261797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984586,0.000041188643,0.000011261444,0.000028761466,0.000045028766,0.000027945456],"domain_scores_gemma":[0.99984264,0.00005072911,0.00004128474,0.0000125361885,0.00003707834,0.000015792297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003588851,0.0004676785,0.0005652856,0.0005118862,0.0005535302,0.0006814756,0.0009084473,0.0011334972,0.0012704518],"category_scores_gemma":[0.0008247269,0.00019322202,0.0008725829,0.00035108413,0.0007030546,0.0010656096,0.0005423966,0.0007192701,0.00011749583],"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":[0.000024527306,0.000042583248,0.0010720778,0.00008470046,0.00003348127,0.00020816701,0.00022127837,0.8435048,0.008995032,0.13957441,0.00057990174,0.005659127],"study_design_scores_gemma":[0.000006091217,0.000015500225,0.00016410384,0.000004086299,0.0000072135144,0.000037523696,0.000016580509,0.98469514,0.00029299821,0.014159047,0.0005949499,0.000006877416],"about_ca_topic_score_codex":0.003482294,"about_ca_topic_score_gemma":0.0016409734,"teacher_disagreement_score":0.003482294,"about_ca_system_score_codex":0.0005603328,"about_ca_system_score_gemma":0.0007454111,"threshold_uncertainty_score":0.006924033},"labels":[],"label_agreement":null},{"id":"W3047143193","doi":"10.3934/mbe.2020284","title":"A mathematical study of the impact of cell plasticity on tumour control probability","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Radiation therapy; Cancer; Cancer stem cell; Cancer cell; Tumour heterogeneity; Cancer research; Medicine; Biology; Oncology; Internal medicine","score_opus":0.03647979950571208,"score_gpt":0.2759711041572649,"score_spread":0.23949130465155283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047143193","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13499084,0.00375683,0.81816906,0.004300227,0.00021069754,0.0001405965,0.00051484647,0.0002132664,0.037703693],"genre_scores_gemma":[0.9631498,0.0018419306,0.02008438,0.00043216776,0.00015552016,0.0002940648,0.0001703711,0.00009629117,0.013775466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993949,0.00019043148,0.000023386763,0.000099112476,0.00013063857,0.00016147766],"domain_scores_gemma":[0.9933466,0.0048558996,0.0008546566,0.0001646639,0.00050369353,0.00027454624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001472374,0.0009117163,0.0012650273,0.0008943817,0.00067023106,0.0014753451,0.0011811339,0.0020401077,0.0033711465],"category_scores_gemma":[0.00927538,0.00056155556,0.0015330345,0.0006826355,0.0018490447,0.0016409087,0.00112427,0.0020303812,0.00033244482],"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":[0.00002388834,0.000025356116,0.0004922646,0.00006430892,0.000021438236,0.00011652739,0.000035116536,0.93559664,0.0017743947,0.059602696,0.0005880176,0.001659427],"study_design_scores_gemma":[0.000006226325,0.000019178631,0.00018843096,0.000007824022,0.000011527571,0.00003620784,0.000007493968,0.9911725,0.00019895253,0.007980392,0.0003640131,0.0000072937505],"about_ca_topic_score_codex":0.007979879,"about_ca_topic_score_gemma":0.0026622126,"teacher_disagreement_score":0.007979879,"about_ca_system_score_codex":0.002543302,"about_ca_system_score_gemma":0.0016414477,"threshold_uncertainty_score":0.018453002},"labels":[],"label_agreement":null},{"id":"W3048715049","doi":"10.3934/mbe.2020401","title":"A dynamical framework for modeling fear of infection and frustration with social distancing in COVID-19 spread","year":2020,"lang":"en","type":"preprint","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Outbreak; Social distance; Coronavirus disease 2019 (COVID-19); Distancing; Epidemic model; Perception; Pandemic; Disease; Psychology; Virology; Demography; Geography; Medicine; Environmental health; Sociology; Infectious disease (medical specialty); Neuroscience","score_opus":0.19267887000331274,"score_gpt":0.41237398517093804,"score_spread":0.2196951151676253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048715049","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13405369,0.000484981,0.8363327,0.0040651015,0.0001795046,0.00011485665,0.00049068657,0.00019523356,0.024083218],"genre_scores_gemma":[0.9422838,0.0005548279,0.042414878,0.00034012116,0.00016218223,0.0002701224,0.00016350506,0.000055423694,0.013755106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996525,0.00014522707,0.000015313914,0.0000710835,0.000051042396,0.00006479705],"domain_scores_gemma":[0.99911326,0.00037970982,0.00027692807,0.00003759359,0.00007291468,0.00011958159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000967226,0.00073636643,0.0006135973,0.0009904702,0.00068852806,0.0012490555,0.0015609389,0.0018095762,0.0041126413],"category_scores_gemma":[0.003112649,0.00040308113,0.0010887288,0.00045705598,0.0014076874,0.0014683952,0.0014909968,0.0014159301,0.0003687763],"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":[0.00002325129,0.00006468721,0.0034432088,0.000044133252,0.000060613125,0.00024779295,0.00042409825,0.6827122,0.001810999,0.30532163,0.0014640462,0.00438342],"study_design_scores_gemma":[0.000009884667,0.000025813975,0.0004729513,0.00000781685,0.000008545463,0.00003645635,0.00007882972,0.96033317,0.000039253206,0.03809688,0.0008762722,0.000014164966],"about_ca_topic_score_codex":0.014911616,"about_ca_topic_score_gemma":0.010136395,"teacher_disagreement_score":0.014911616,"about_ca_system_score_codex":0.0015028943,"about_ca_system_score_gemma":0.00125848,"threshold_uncertainty_score":0.029649675},"labels":[],"label_agreement":null},{"id":"W3049647926","doi":"10.3934/mbe.2020297","title":"Poisson integral type quarantine in a stochastic SIR system","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Poisson distribution; Term (time); Quarantine; Stability (learning theory); Mathematics; Applied mathematics; Epidemic model; Statistical physics; Stochastic modelling; Measure (data warehouse); Mathematical economics; Statistics; Computer science; Physics; Biology; Demography; Ecology","score_opus":0.029689221119718483,"score_gpt":0.2640923081897947,"score_spread":0.2344030870700762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049647926","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28705037,0.00070295116,0.6863895,0.0019497151,0.0002938214,0.000073771815,0.00016324857,0.00029306216,0.023083625],"genre_scores_gemma":[0.97929746,0.0003337474,0.010793985,0.00019615413,0.00013657431,0.00007084199,0.00005290727,0.000037265054,0.009081081],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887544,0.00036341237,0.000047544796,0.0002452283,0.00026737305,0.00020111114],"domain_scores_gemma":[0.9979577,0.0008329874,0.0005471948,0.00010853086,0.00033239688,0.0002211685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001606397,0.00052551646,0.0016192896,0.0005670408,0.0008977524,0.0015744885,0.0020174407,0.001927042,0.003085547],"category_scores_gemma":[0.00346574,0.00054484257,0.0011981775,0.00053430896,0.0022409726,0.0016096921,0.0016688132,0.001529214,0.00037795975],"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":[0.00014782496,0.00010595772,0.002614826,0.00012126605,0.000112599024,0.0012430582,0.00039427358,0.6207183,0.010309021,0.35741866,0.0013324061,0.005481838],"study_design_scores_gemma":[0.000027586122,0.000080272504,0.00034754697,0.000006313217,0.000031156702,0.0001428514,0.00003324873,0.9721761,0.00037943927,0.026213834,0.0005372468,0.000024471996],"about_ca_topic_score_codex":0.003987427,"about_ca_topic_score_gemma":0.002064845,"teacher_disagreement_score":0.003987427,"about_ca_system_score_codex":0.0011735354,"about_ca_system_score_gemma":0.0008902475,"threshold_uncertainty_score":0.010322213},"labels":[],"label_agreement":null},{"id":"W3085214130","doi":"10.3934/mbe.2020324","title":"Dynamics of an epidemic model with relapse over a two-patch environment","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Irreducibility; Eigenvalues and eigenvectors; Mathematics; Dynamics (music); Epidemic model; Delay differential equation; Leslie matrix; Population; Applied mathematics; Term (time); Econometrics; Differential equation; Statistics; Demography; Mathematical analysis; Pure mathematics; Physics","score_opus":0.019758001853424263,"score_gpt":0.26064911348296005,"score_spread":0.24089111162953578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3085214130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8224684,0.00070212875,0.16189066,0.0029105397,0.00010918277,0.000106284766,0.0004854537,0.0002667757,0.011060451],"genre_scores_gemma":[0.9852299,0.00027091557,0.006037998,0.00012626976,0.00003774483,0.000056882007,0.00011666767,0.000024786712,0.008098878],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998049,0.000058039343,0.000012696588,0.000054060656,0.000024566663,0.000045685647],"domain_scores_gemma":[0.99964833,0.00011834909,0.000078219644,0.00003257348,0.000043873853,0.00007874934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042015006,0.00042028606,0.0007921797,0.000452916,0.00041439294,0.0009739144,0.0011412058,0.0013476132,0.0029005997],"category_scores_gemma":[0.0011974599,0.00027142337,0.00085391506,0.00031447003,0.00074712356,0.0013695016,0.0010768618,0.001086762,0.00042283465],"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":[0.00031298053,0.00022308381,0.010119181,0.00014567263,0.00014450564,0.0027977042,0.0010784218,0.8301429,0.012486884,0.13218278,0.0025472015,0.007818685],"study_design_scores_gemma":[0.00005586556,0.00007772825,0.001118502,0.000010953221,0.00003477489,0.00028687975,0.0001564086,0.9826149,0.00032978415,0.014485712,0.00080187124,0.000026522688],"about_ca_topic_score_codex":0.010224079,"about_ca_topic_score_gemma":0.0033467012,"teacher_disagreement_score":0.010224079,"about_ca_system_score_codex":0.00068873307,"about_ca_system_score_gemma":0.00045405029,"threshold_uncertainty_score":0.020329118},"labels":[],"label_agreement":null},{"id":"W3086110515","doi":"10.3934/mbe.2020323","title":"Analyzing the effect of duration on the daily new cases of COVID-19 infections and deaths using bivariate Poisson regression: a marginal conditional approach","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Saint Vincent University; University of New Brunswick","funders":"","keywords":"Poisson regression; Bivariate analysis; Coronavirus disease 2019 (COVID-19); Pandemic; Poisson distribution; Covariate; Demography; Duration (music); Socioeconomic status; Count data; Statistics; Regression analysis; Population; Econometrics; Multivariate statistics; Geography; Medicine; Mathematics; Sociology; Disease; Internal medicine","score_opus":0.2001189040728114,"score_gpt":0.389209842859123,"score_spread":0.1890909387863116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086110515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8026899,0.0026191936,0.18918918,0.0016265182,0.00013977532,0.00009477671,0.0009973049,0.00014639823,0.0024968921],"genre_scores_gemma":[0.9871349,0.0009392838,0.009059637,0.0001248941,0.00012569754,0.00006814818,0.00057154323,0.00003394363,0.0019420101],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955402,0.002996634,0.00015991433,0.00062294165,0.0002642986,0.00041608728],"domain_scores_gemma":[0.9685509,0.025107596,0.0031691315,0.0015317597,0.0009819205,0.00065868796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010357335,0.00065528246,0.0011183305,0.0014329965,0.00037885868,0.0010023634,0.0013810542,0.00077485363,0.00426944],"category_scores_gemma":[0.030167293,0.0003378852,0.0025914193,0.0011575012,0.001117503,0.0012100731,0.0019744376,0.0016752381,0.0003017618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011842746,0.0005218364,0.6403472,0.0005410844,0.0030809573,0.0016106869,0.0011014056,0.19248782,0.0030020364,0.07677184,0.0028855274,0.07646539],"study_design_scores_gemma":[0.000057012916,0.0007918205,0.24581057,0.00019748372,0.0016303163,0.00072590186,0.0011024541,0.7022803,0.0020195062,0.041317765,0.003921192,0.00014569536],"about_ca_topic_score_codex":0.013257983,"about_ca_topic_score_gemma":0.008490761,"teacher_disagreement_score":0.013257983,"about_ca_system_score_codex":0.00075204665,"about_ca_system_score_gemma":0.0013137663,"threshold_uncertainty_score":0.054775476},"labels":[],"label_agreement":null},{"id":"W3094348106","doi":"10.3934/mbe.2020373","title":"Feature extraction and process planning of integrated hybrid additive-subtractive system for remanufacturing","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Remanufacturing; Subtractive color; Computer science; Process (computing); Context (archaeology); Feature (linguistics); Benchmark (surveying); Manufacturing engineering; Engineering","score_opus":0.012072752270093606,"score_gpt":0.22910864678600437,"score_spread":0.21703589451591077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094348106","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022537345,0.00013412184,0.9739984,0.000071231574,0.000009483496,0.00006595136,0.00006770653,0.0003414736,0.002774242],"genre_scores_gemma":[0.69275415,0.00023874441,0.30372965,0.000036047455,0.000008783842,0.0002355613,0.00022583657,0.000051023613,0.0027202044],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996741,0.00004052196,0.00001863853,0.00007850302,0.00013944412,0.000048891314],"domain_scores_gemma":[0.9997973,0.000081322934,0.000038553553,0.000018583565,0.000052532178,0.0000118065645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034814127,0.0007158042,0.0005588159,0.00065149885,0.00052456936,0.00087978103,0.0007519274,0.0005456166,0.0019564778],"category_scores_gemma":[0.0005783067,0.0004672445,0.0009729832,0.0005566444,0.00037132192,0.00057360105,0.00063628674,0.0005164903,0.0002481617],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004787471,0.00003395447,0.0008078673,0.0001048001,0.00001825195,0.0001643257,0.00009524447,0.92857057,0.012531655,0.0069268867,0.00045735898,0.050241306],"study_design_scores_gemma":[0.000003406985,0.00002624468,0.00020741193,0.000004015953,0.000009211597,0.00002936037,0.0000129944,0.9945862,0.0029024626,0.001593159,0.00061887165,0.0000066061116],"about_ca_topic_score_codex":0.008714086,"about_ca_topic_score_gemma":0.0065387296,"teacher_disagreement_score":0.008714086,"about_ca_system_score_codex":0.0009871451,"about_ca_system_score_gemma":0.0015913183,"threshold_uncertainty_score":0.017326713},"labels":[],"label_agreement":null},{"id":"W3095656729","doi":"10.3934/mbe.2020380","title":"Studying social awareness of physical distancing in mitigating COVID-19 transmission","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Trent University","funders":"","keywords":"Social distance; Outbreak; Distancing; Transmission (telecommunications); Disease; Asymptomatic; Coronavirus disease 2019 (COVID-19); Pandemic; Intervention (counseling); Basic reproduction number; Computer science; Psychology; Medicine; Environmental health; Virology; Infectious disease (medical specialty); Telecommunications","score_opus":0.24049274167684814,"score_gpt":0.4160936817253923,"score_spread":0.17560094004854415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095656729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893629,0.00034627822,0.0035668116,0.0011643136,0.000012623471,0.000039330982,0.000057915546,0.00000805405,0.0054418477],"genre_scores_gemma":[0.99913186,0.00014299131,0.00036845583,0.000033071803,0.000003709538,0.000007147867,0.000010031975,5.6001375e-7,0.0003021424],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995758,0.00022193481,0.000006639747,0.00004094839,0.00003290079,0.00012180941],"domain_scores_gemma":[0.99745363,0.0013312716,0.000781415,0.00006439024,0.00016474439,0.00020444722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010628236,0.0003770334,0.0002585186,0.0005301514,0.00038780188,0.00067854766,0.00051990664,0.00060631667,0.0018063947],"category_scores_gemma":[0.006573893,0.00013808715,0.00029003058,0.0003071428,0.0006953673,0.0006918009,0.00075300294,0.0005148906,0.00007820308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050997594,0.0016546409,0.6028666,0.0004300461,0.0005816376,0.0011857455,0.0061339363,0.24333306,0.0054003405,0.05663447,0.002723942,0.07854554],"study_design_scores_gemma":[0.00012637553,0.0016342422,0.3976689,0.00021914925,0.00042914663,0.00028557272,0.011445002,0.5579496,0.0014762607,0.022802157,0.0058781966,0.00008542739],"about_ca_topic_score_codex":0.085230894,"about_ca_topic_score_gemma":0.08377728,"teacher_disagreement_score":0.085230894,"about_ca_system_score_codex":0.002417427,"about_ca_system_score_gemma":0.002043313,"threshold_uncertainty_score":0.1694696},"labels":[],"label_agreement":null},{"id":"W3095850453","doi":"10.3934/mbe.2020394","title":"Retinal blood vessel segmentation from fundus image using an efficient multiscale directional representation technique Bendlets","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Artificial intelligence; Computer science; Segmentation; Fundus (uterus); Computer vision; Robustness (evolution); Hypertensive retinopathy; Retinal; Macular degeneration; Diabetic retinopathy; Biometrics; Benchmark (surveying); Image segmentation; Blood vessel; Pattern recognition (psychology); Feature (linguistics); Ophthalmology; Medicine","score_opus":0.034050697571948146,"score_gpt":0.30316777797894234,"score_spread":0.2691170804069942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095850453","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048519153,0.00024448434,0.9494795,0.00011113248,0.00003839369,0.000043089858,0.00013466449,0.00063003966,0.00079950516],"genre_scores_gemma":[0.31162462,0.00095195876,0.6840333,0.000097363045,0.00008498427,0.00007035848,0.0009207065,0.00012117257,0.0020955591],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997495,0.000033633765,0.000017839351,0.000059998198,0.000105263076,0.000033798882],"domain_scores_gemma":[0.9997131,0.000058255377,0.00004396961,0.000049801576,0.00011572578,0.000019089646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004408388,0.00047000672,0.0005895265,0.0013529564,0.00021168646,0.00067077356,0.00040435,0.00051973766,0.0007033649],"category_scores_gemma":[0.0009527253,0.00026737855,0.0007879745,0.00089671754,0.0001507645,0.00072479126,0.00044190665,0.0006931488,0.00056375004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033414754,0.00013937886,0.0033226553,0.00013088151,0.00010805931,0.00023272951,0.00013001826,0.04827922,0.2359041,0.0031221812,0.0035796547,0.704717],"study_design_scores_gemma":[0.000011421244,0.00013608066,0.0047223927,0.000014194625,0.00007041321,0.00036681353,0.000043158976,0.94051844,0.050080072,0.001695476,0.002316651,0.000024814532],"about_ca_topic_score_codex":0.0014223441,"about_ca_topic_score_gemma":0.0015769387,"teacher_disagreement_score":0.0014223441,"about_ca_system_score_codex":0.00021953078,"about_ca_system_score_gemma":0.00044790722,"threshold_uncertainty_score":0.0028281212},"labels":[],"label_agreement":null},{"id":"W3097887867","doi":"10.3934/mbe.2020390","title":"Impact of variability of reproductive ageing and rate on childhood infectious disease prevention and control: insights from stage-structured population models","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Population; Basic reproduction number; Disease; Population growth; Population model; Demography; Infectious disease (medical specialty); Vital rates; Biology; Medicine","score_opus":0.061143593387390734,"score_gpt":0.33330636482750015,"score_spread":0.2721627714401094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097887867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57322073,0.000802916,0.41298455,0.0017174624,0.00008998747,0.00010282137,0.0004965971,0.00010707169,0.010477798],"genre_scores_gemma":[0.9902575,0.0004685719,0.00601565,0.00009180945,0.000036430225,0.00004687862,0.0000736648,0.0000139601725,0.002995543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995334,0.0002362023,0.000015453805,0.0000886154,0.000056038047,0.00007029671],"domain_scores_gemma":[0.9974356,0.0014292236,0.000630917,0.00016260208,0.00018346029,0.00015821784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014619569,0.0004046099,0.0006458536,0.00044870874,0.00026549722,0.0007661288,0.0009177786,0.0008098203,0.001720811],"category_scores_gemma":[0.0055214334,0.00028130418,0.0007937359,0.00024587812,0.00087415654,0.0009258699,0.00076585583,0.00067436014,0.00016238997],"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":[0.0000783936,0.00009782021,0.015045777,0.00008301806,0.00012155046,0.00033698103,0.00041073665,0.81573546,0.0042004376,0.15348043,0.0010451563,0.00936425],"study_design_scores_gemma":[0.000017697403,0.00008604122,0.003407858,0.000014477257,0.000042708605,0.000092899216,0.000058790505,0.96393967,0.00022182187,0.031560842,0.00053860375,0.000018571553],"about_ca_topic_score_codex":0.005130281,"about_ca_topic_score_gemma":0.0038914406,"teacher_disagreement_score":0.005130281,"about_ca_system_score_codex":0.0007443034,"about_ca_system_score_gemma":0.0006499057,"threshold_uncertainty_score":0.010200858},"labels":[],"label_agreement":null},{"id":"W3101850547","doi":"10.3934/mbe.2020403","title":"Stability, bifurcation and phase-locking of time-delayed excitatory-inhibitory neural networks","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Excitatory postsynaptic potential; Bistability; Inhibitory postsynaptic potential; Coupling (piping); Bifurcation; Hopf bifurcation; Biological neuron model; Population; Physics; Control theory (sociology); Neuron; Neuroscience; Equilibrium point; Biological system; Computer science; Nonlinear system; Biology; Materials science; Artificial intelligence","score_opus":0.02749098859866212,"score_gpt":0.23687406583740273,"score_spread":0.2093830772387406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3101850547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7291954,0.0007927015,0.25576168,0.0005054014,0.000043564254,0.000051441784,0.000096828466,0.00013526558,0.013417663],"genre_scores_gemma":[0.9945093,0.000116420124,0.0039319443,0.000019283612,0.000007434686,0.00003237254,0.000014134925,0.000008682302,0.0013603871],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990785,0.000033830518,0.0000047090907,0.000016618718,0.00002107019,0.000015861911],"domain_scores_gemma":[0.9997032,0.00014321832,0.00008648046,0.000015401312,0.000028489576,0.000023156981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023848236,0.00031556597,0.00027144613,0.0003642286,0.00033092068,0.0005720431,0.00052990334,0.0005605214,0.0007722526],"category_scores_gemma":[0.0012464509,0.00018004191,0.00028623012,0.00021551049,0.0007456804,0.0005856086,0.0005586591,0.00031966282,0.000113855],"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":[0.00010866362,0.00004607219,0.0022692403,0.000054409564,0.000053222815,0.00029356588,0.00015940228,0.8911157,0.0352315,0.065862544,0.00026862742,0.0045369896],"study_design_scores_gemma":[0.000013553158,0.000020569045,0.00028655023,0.0000042184715,0.000005179356,0.00004132516,0.000016293907,0.98357487,0.00094435184,0.014892695,0.00019563368,0.0000048518477],"about_ca_topic_score_codex":0.0023810284,"about_ca_topic_score_gemma":0.0014367001,"teacher_disagreement_score":0.0023810284,"about_ca_system_score_codex":0.0005961248,"about_ca_system_score_gemma":0.00030026547,"threshold_uncertainty_score":0.0047343373},"labels":[],"label_agreement":null},{"id":"W3112232165","doi":"10.3934/mbe.2021019","title":"The honeymoon period after mass vaccination","year":2020,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Compute Canada","funders":"","keywords":"Honeymoon; Measles; Vaccination; Incidence (geometry); Mass vaccination; Demography; Medicine; Immunology; Mathematics; Political science","score_opus":0.005011180053370975,"score_gpt":0.20492815636850953,"score_spread":0.19991697631513855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112232165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69463235,0.0046225004,0.257122,0.001942786,0.0006435977,0.00015732199,0.0007038996,0.00046013732,0.039715476],"genre_scores_gemma":[0.988037,0.00054341037,0.006364658,0.00015519117,0.00006864816,0.00006678509,0.00014035469,0.000030838128,0.0045930194],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980706,0.000048407983,0.000008305715,0.00006354535,0.0000278597,0.000044783217],"domain_scores_gemma":[0.99947625,0.00017753964,0.00014330562,0.00008473186,0.000047730307,0.00007034338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034755497,0.00030233746,0.0003754803,0.00022969102,0.00047378795,0.00089454785,0.00047684123,0.000674788,0.0034175683],"category_scores_gemma":[0.0025715234,0.00014322122,0.00041631292,0.00014052192,0.000905352,0.0011824697,0.00084258727,0.00080650084,0.0004322817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040301078,0.00010648184,0.019839143,0.0005153254,0.00015784598,0.001654704,0.00087167375,0.04123132,0.08296426,0.7943569,0.007501549,0.050397903],"study_design_scores_gemma":[0.00010620086,0.001105815,0.045364365,0.00048021128,0.00020242567,0.0030930897,0.00073534745,0.38232297,0.02211375,0.49487102,0.04949642,0.0001084348],"about_ca_topic_score_codex":0.0011470993,"about_ca_topic_score_gemma":0.00067284197,"teacher_disagreement_score":0.0034175683,"about_ca_system_score_codex":0.00052799354,"about_ca_system_score_gemma":0.00034104183,"threshold_uncertainty_score":0.011432946},"labels":[],"label_agreement":null},{"id":"W3136304796","doi":"10.3934/mbe.2021131","title":"Linking dynamic patterns of COVID-19 spreads in Italy with regional characteristics: a two level longitudinal modelling approach","year":2021,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Poisson regression; Coronavirus disease 2019 (COVID-19); Geography; Regression; Regression analysis; Case fatality rate; Poisson distribution; Regional development; Demography; Statistics; Econometrics; Physical geography; Regional science; Mathematics; Medicine","score_opus":0.26615677577015345,"score_gpt":0.3791218383827903,"score_spread":0.11296506261263684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136304796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93660575,0.0006486517,0.055563934,0.0013057146,0.000032137283,0.00006405823,0.0017182266,0.00021919142,0.0038423429],"genre_scores_gemma":[0.989739,0.00033868488,0.005536039,0.0000468745,0.000025396352,0.000084293184,0.0008101412,0.000024294364,0.0033952328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995629,0.00018123284,0.000017274706,0.00012538256,0.000024012941,0.000089158086],"domain_scores_gemma":[0.99881446,0.00049291365,0.00038968492,0.00011779688,0.000112814625,0.00007232444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015772269,0.000482881,0.0004677503,0.0012187039,0.000272301,0.0011562146,0.0012064639,0.0010065314,0.0031759765],"category_scores_gemma":[0.0031606606,0.00034927775,0.0013631384,0.0009380226,0.00043599575,0.000696227,0.0009873238,0.00067579135,0.00053753046],"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":[0.00020673977,0.00018172897,0.39187393,0.000090204805,0.00041961338,0.0007168531,0.0006684948,0.563365,0.001292836,0.01977628,0.0027782733,0.01863018],"study_design_scores_gemma":[0.000017617813,0.00007591001,0.062149856,0.00002335936,0.000102893886,0.00010928685,0.00018403128,0.93204737,0.00012208514,0.0036868898,0.0014484294,0.000032153508],"about_ca_topic_score_codex":0.039215043,"about_ca_topic_score_gemma":0.02009947,"teacher_disagreement_score":0.039215043,"about_ca_system_score_codex":0.0011504786,"about_ca_system_score_gemma":0.0007438996,"threshold_uncertainty_score":0.077973545},"labels":[],"label_agreement":null},{"id":"W3138862056","doi":"10.3934/mbe.2021137","title":"A mathematical model for Vibrio-phage interactions","year":2021,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Vibrio bacteria research studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; York University","funders":"","keywords":"Vibrio; Cholera; Vibrio cholerae; Bacteria; Biology; Stability (learning theory); Sensitivity (control systems); Microbiology; Genetics; Computer science; Engineering","score_opus":0.02542528757980506,"score_gpt":0.3039255650201896,"score_spread":0.2785002774403845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138862056","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05463959,0.0039703893,0.8558717,0.0043485723,0.0005934176,0.00032373096,0.0025822404,0.0004540588,0.07721643],"genre_scores_gemma":[0.8045061,0.0055874493,0.0931254,0.00092714577,0.0004647714,0.0016929734,0.0015896341,0.00012792225,0.09197865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994955,0.00012535344,0.000035938447,0.00010124746,0.00015004273,0.00009191078],"domain_scores_gemma":[0.9994887,0.00023995561,0.00012043813,0.000024422985,0.00008311455,0.00004326797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006384164,0.0009905938,0.0010848297,0.0007961763,0.00090927555,0.0016589597,0.0025026822,0.0026629865,0.005797758],"category_scores_gemma":[0.001483473,0.00042433938,0.0009528756,0.0010098149,0.00094589434,0.0014724111,0.0015237551,0.0016849483,0.001212153],"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":[0.00003582944,0.0000628445,0.00061406306,0.00023933359,0.00004664629,0.00074717327,0.00023630232,0.5375899,0.004303944,0.44620627,0.0034278443,0.0064898357],"study_design_scores_gemma":[0.000071917486,0.00012285393,0.00041800638,0.000052989144,0.000049891954,0.00044607508,0.00007335048,0.8717933,0.0004786767,0.10512061,0.021329766,0.000042504664],"about_ca_topic_score_codex":0.0061299787,"about_ca_topic_score_gemma":0.0035252941,"teacher_disagreement_score":0.0061299787,"about_ca_system_score_codex":0.0016258385,"about_ca_system_score_gemma":0.0018666532,"threshold_uncertainty_score":0.019395411},"labels":[],"label_agreement":null},{"id":"W3155816154","doi":"10.3934/mbe.2021163","title":"Power-series solution of compartmental epidemiological models","year":2021,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Fractional Differential Equations Solutions","field":"Mathematics","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Agencia Estatal de Investigación; Instituto de Salud Carlos III","keywords":"Series (stratigraphy); Nonlinear system; Applied mathematics; Simple (philosophy); Power series; Work (physics); Computer science; Power (physics); Mathematics; Mathematical optimization; Mathematical analysis; Physics; Biology","score_opus":0.09802524874076292,"score_gpt":0.3214548184437043,"score_spread":0.22342956970294142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155816154","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015569073,0.00062255503,0.97620934,0.00036040344,0.00010772129,0.000029171568,0.00008370353,0.00008536616,0.0069326595],"genre_scores_gemma":[0.79369736,0.0034289255,0.16761829,0.00038183416,0.00033033334,0.00034078155,0.00040203807,0.00018883441,0.033611614],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996474,0.00016429984,0.00001936853,0.00005529096,0.00008258947,0.000031013376],"domain_scores_gemma":[0.99892175,0.0006284023,0.00015861414,0.00005815821,0.00018989023,0.000043219265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010460982,0.00091712514,0.00072604977,0.00085548,0.00035329862,0.0009844562,0.0010023558,0.0012822016,0.002186369],"category_scores_gemma":[0.004798689,0.00033863413,0.0010477842,0.00070151687,0.00082091405,0.0011034828,0.000939442,0.0012839645,0.00039332372],"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":[0.00002298079,0.000031189706,0.00053440226,0.00013829432,0.00005144408,0.00024183352,0.00017031122,0.7807418,0.002650071,0.20427674,0.0010686775,0.01007221],"study_design_scores_gemma":[0.0000025863455,0.0000063304014,0.00003341018,0.000005412237,0.0000055850733,0.000023911245,0.000013462164,0.9797537,0.00017604089,0.019337947,0.0006373186,0.000004245797],"about_ca_topic_score_codex":0.0036046752,"about_ca_topic_score_gemma":0.0019581555,"teacher_disagreement_score":0.0036046752,"about_ca_system_score_codex":0.00059831544,"about_ca_system_score_gemma":0.0007720874,"threshold_uncertainty_score":0.007314086},"labels":[],"label_agreement":null},{"id":"W3157531239","doi":"10.3934/mbe.2021189","title":"Defect detection in code characters with complex backgrounds based on BBE","year":2021,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Robustness (evolution); Code (set theory); Artificial intelligence; Set (abstract data type); Source code; Transferability; Object detection; Process (computing); Computer engineering; Pattern recognition (psychology); Data mining; Computer vision; Machine learning; Programming language","score_opus":0.0207169744252643,"score_gpt":0.23825333884602365,"score_spread":0.21753636442075935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157531239","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26159346,0.0004291987,0.73234516,0.00018833565,0.0000781564,0.000075310156,0.0001483551,0.002342044,0.0027999913],"genre_scores_gemma":[0.870266,0.00024273388,0.12552258,0.00013742496,0.000019315416,0.00003981169,0.00032237876,0.00007222468,0.0033776115],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996488,0.000034416345,0.000016052201,0.00009291812,0.00014841634,0.00005936922],"domain_scores_gemma":[0.99930704,0.00016046612,0.00010716172,0.00007100284,0.00030327833,0.00005103541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048708974,0.000778964,0.00061049865,0.0013351198,0.00019847447,0.00054016756,0.0007249052,0.0006416396,0.0007989458],"category_scores_gemma":[0.0013871461,0.00022308453,0.00037835664,0.00049890025,0.0004656967,0.0010621465,0.0007942705,0.0005686786,0.00039213468],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006854597,0.00026543267,0.017276257,0.00026044474,0.00012566811,0.0008791654,0.00018790626,0.15303846,0.21712214,0.002707333,0.002752699,0.6046991],"study_design_scores_gemma":[0.000005960822,0.00010033164,0.00452266,0.00001260756,0.000023267005,0.00022758401,0.000029266695,0.9452364,0.04816982,0.0007223809,0.00093483436,0.000014868433],"about_ca_topic_score_codex":0.002488656,"about_ca_topic_score_gemma":0.0029390096,"teacher_disagreement_score":0.002488656,"about_ca_system_score_codex":0.0004223941,"about_ca_system_score_gemma":0.00035597544,"threshold_uncertainty_score":0.0049483776},"labels":[],"label_agreement":null},{"id":"W3160372375","doi":"10.3934/mbe.2021206","title":"Dynamics induced by environmental stochasticity in a phytoplankton-zooplankton system with toxic phytoplankton","year":2021,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Phytoplankton; Zooplankton; Plankton; Environmental science; Marine ecosystem; Extinction (optical mineralogy); Biomass (ecology); Ecosystem; Ecology; Biology; Oceanography; Nutrient","score_opus":0.009516516217993133,"score_gpt":0.21962537244161942,"score_spread":0.2101088562236263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160372375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94128907,0.00022108511,0.054461546,0.00077326805,0.000034856268,0.000032550743,0.00012619016,0.0000777846,0.0029836018],"genre_scores_gemma":[0.9978382,0.00008585149,0.0011734783,0.00003741061,0.000013188977,0.00001573437,0.000029582407,0.0000042274028,0.00080228946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964905,0.000105476276,0.000023105806,0.000074122,0.00006764549,0.00008054511],"domain_scores_gemma":[0.998779,0.00041247945,0.00050227955,0.000033710665,0.000108625674,0.00016387369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005656287,0.00040741853,0.00069418474,0.00042531436,0.0007682702,0.00093020446,0.0006529426,0.0010319508,0.0008498406],"category_scores_gemma":[0.0018719069,0.00032463018,0.0006539097,0.0002812988,0.0010794434,0.000853998,0.0012477534,0.000717121,0.000062178915],"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":[0.00020895658,0.00011371936,0.032416727,0.00014764907,0.00028364346,0.0032432342,0.00051754847,0.8661982,0.023594562,0.06778146,0.00088492257,0.0046093743],"study_design_scores_gemma":[0.000044563676,0.00008504222,0.0054393606,0.000006297225,0.000048425198,0.00021141276,0.00011382142,0.9836738,0.0004072263,0.009697337,0.00024162981,0.00003107046],"about_ca_topic_score_codex":0.008592397,"about_ca_topic_score_gemma":0.0054027527,"teacher_disagreement_score":0.008592397,"about_ca_system_score_codex":0.00094753556,"about_ca_system_score_gemma":0.0008822583,"threshold_uncertainty_score":0.017084777},"labels":[],"label_agreement":null},{"id":"W3172747666","doi":"10.3934/mbe.2021224","title":"Numerical assessment of directional energy performance for 3D printed midsole structures","year":2021,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Energy (signal processing); Measure (data warehouse); Computer science; Energy transfer; Topology (electrical circuits); Efficient energy use; Energy transformation; Mechanical engineering; Simulation; Engineering; Physics; Electrical engineering; Engineering physics","score_opus":0.011528955368307545,"score_gpt":0.23658311318225558,"score_spread":0.22505415781394805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172747666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8562259,0.00064566836,0.10497436,0.0006149054,0.0001090187,0.0000720268,0.00059125794,0.00046064038,0.03630618],"genre_scores_gemma":[0.980184,0.00011687568,0.017724697,0.000029999786,0.0000048188303,0.00003592844,0.00012953811,0.000026487423,0.0017477374],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998374,0.000030369216,0.000010518216,0.000023144567,0.00007190399,0.000026714462],"domain_scores_gemma":[0.9992205,0.00051352114,0.0000796196,0.00006354884,0.000092923045,0.00002990377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041669028,0.0003739421,0.0003386808,0.0006622627,0.00034871895,0.0009872608,0.0005001299,0.0013419318,0.0032325583],"category_scores_gemma":[0.0015015226,0.00019407987,0.00048922666,0.00052337296,0.00072413223,0.00042583118,0.00042391728,0.0003919564,0.00028513113],"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":[0.000111017835,0.00007930327,0.002290774,0.00013039421,0.000021766427,0.00019377019,0.00012335497,0.9701322,0.012790127,0.004952302,0.00043774777,0.008737215],"study_design_scores_gemma":[0.000007869973,0.00004362489,0.000555605,0.000011326614,0.000005079333,0.00004106837,0.00004146542,0.99533975,0.0028417227,0.00071246346,0.00039039794,0.000009692584],"about_ca_topic_score_codex":0.0015490442,"about_ca_topic_score_gemma":0.0014722022,"teacher_disagreement_score":0.0032325583,"about_ca_system_score_codex":0.00042273046,"about_ca_system_score_gemma":0.00029189052,"threshold_uncertainty_score":0.010814011},"labels":[],"label_agreement":null},{"id":"W3182918474","doi":"10.3934/mbe.2021295","title":"Mathematical modeling of intervention and low medical resource availability with delays: Applications to COVID-19 outbreaks in Spain and Italy","year":2021,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Basic reproduction number; Hopf bifurcation; Transcritical bifurcation; Intervention (counseling); Outbreak; Bifurcation; Center manifold; Mathematics; Epidemic model; Stability (learning theory); Applied mathematics; Coronavirus disease 2019 (COVID-19); Control theory (sociology); Computer science; Biology; Infectious disease (medical specialty); Disease; Medicine; Physics; Virology; Control (management); Artificial intelligence; Environmental health; Population; Nonlinear system","score_opus":0.022349537441350324,"score_gpt":0.2923971914256835,"score_spread":0.27004765398433317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182918474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8423043,0.0016557622,0.12225883,0.0028348835,0.000115416144,0.0000802793,0.0007389645,0.00020989586,0.02980164],"genre_scores_gemma":[0.98901284,0.00038940195,0.0044674156,0.00006884984,0.000023022782,0.00005025215,0.00008258168,0.000017089935,0.005888551],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998369,0.00005840423,0.000008209493,0.00002859176,0.000014533719,0.000053284562],"domain_scores_gemma":[0.99944097,0.00024113148,0.0001869111,0.000017934954,0.00006908717,0.000043950553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006166988,0.0006028937,0.0005001964,0.00059219945,0.0003035676,0.0008371251,0.0009991513,0.001148983,0.0019429374],"category_scores_gemma":[0.0014756086,0.000247087,0.000697234,0.0003797229,0.0006044771,0.00041700937,0.00085879664,0.0005812612,0.0001381638],"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":[0.00004954512,0.000036260673,0.0043716705,0.000031690917,0.000019840712,0.0003571684,0.00007454312,0.97717935,0.00080308114,0.014317747,0.00062029884,0.0021387956],"study_design_scores_gemma":[0.000021050482,0.000020661095,0.001388119,0.000007162708,0.000016153484,0.000040446983,0.000064720436,0.9946491,0.0000970827,0.0030495266,0.00063709,0.000008938429],"about_ca_topic_score_codex":0.03424221,"about_ca_topic_score_gemma":0.01450497,"teacher_disagreement_score":0.03424221,"about_ca_system_score_codex":0.0019826896,"about_ca_system_score_gemma":0.0010605883,"threshold_uncertainty_score":0.06808579},"labels":[],"label_agreement":null},{"id":"W3197475923","doi":"10.3934/mbe.2021365","title":"The role of proactive behavior on COVID-19 infordemic in the Chinese Sina-Microblog: a modeling study","year":2021,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Microblogging; Parameterized complexity; Social media; Computer science; Coronavirus disease 2019 (COVID-19); Sensitivity (control systems); World Wide Web; Algorithm; Engineering; Medicine","score_opus":0.013133660336190449,"score_gpt":0.293606688041515,"score_spread":0.28047302770532456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197475923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.964373,0.0007129186,0.0238347,0.00208166,0.000079452824,0.00009737363,0.0005297535,0.00011574879,0.00817548],"genre_scores_gemma":[0.9959709,0.0003123835,0.0012407509,0.00006612178,0.000032286673,0.0000463358,0.000112637084,0.0000105431345,0.0022079735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971575,0.00009347282,0.000010049984,0.000065634515,0.000033147764,0.00008196971],"domain_scores_gemma":[0.99799323,0.0011645864,0.00036493613,0.00006968808,0.00024260172,0.00016506239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012321896,0.000724341,0.0004893995,0.0013181336,0.0008539024,0.0011052496,0.0013439269,0.0012264474,0.0023405855],"category_scores_gemma":[0.003182237,0.000328207,0.00072289736,0.0008286226,0.00088787306,0.002104993,0.0009536894,0.00096747937,0.00021767472],"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":[0.00012020601,0.00026865967,0.06082085,0.00015694919,0.00011179776,0.00092371623,0.0010803355,0.87047696,0.0022734406,0.050500605,0.0041217133,0.009144699],"study_design_scores_gemma":[0.0000075729677,0.000019464509,0.0028544017,0.0000060812736,0.00001770963,0.000026161682,0.00012435677,0.9945821,0.00008408545,0.0019664976,0.00030079318,0.000010712747],"about_ca_topic_score_codex":0.07312193,"about_ca_topic_score_gemma":0.043439418,"teacher_disagreement_score":0.07312193,"about_ca_system_score_codex":0.0022454988,"about_ca_system_score_gemma":0.001351541,"threshold_uncertainty_score":0.14539266},"labels":[],"label_agreement":null},{"id":"W3204903595","doi":"10.3934/ctr.2021005","title":"Assessing the long term effects on climate change of metallurgical slags valorization as construction material: a comparison between static and dynamic global warming impacts","year":2021,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Vlaamse regering; Fonds Wetenschappelijk Onderzoek; KU Leuven; Polytechnique Montréal","keywords":"Portland cement; Environmental science; Global warming; Slag (welding); Carbon footprint; Ecological footprint; Global-warming potential; Ranking (information retrieval); Life-cycle assessment; Greenhouse gas; Climate change; Cement; Environmental engineering; Civil engineering; Waste management; Engineering; Sustainability; Production (economics); Computer science; Materials science; Metallurgy","score_opus":0.013404997637886688,"score_gpt":0.29883794617793236,"score_spread":0.2854329485400457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204903595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971198,0.00016583964,0.00083327957,0.000019915897,0.000011722789,0.00001357342,0.00041712838,0.000015867785,0.0014030074],"genre_scores_gemma":[0.99875224,0.00010882164,0.0005144627,0.0000063409725,0.000005276771,0.000013282232,0.00033549021,0.000008542008,0.00025551792],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997559,0.00005746734,0.00001480921,0.000057013494,0.000075704906,0.0000391616],"domain_scores_gemma":[0.99968994,0.00010688295,0.000046099165,0.000033335466,0.00010486014,0.000018922668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007394782,0.0004851163,0.00037345279,0.0008365366,0.00028311356,0.0006428846,0.00028533128,0.0007156275,0.00088159647],"category_scores_gemma":[0.00042702834,0.00011696294,0.0010839443,0.0012070322,0.00027169625,0.0006355688,0.0003862948,0.0003000328,0.00017169035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031770854,0.00060665066,0.5346299,0.0005948211,0.0011156735,0.0012067024,0.0003641478,0.20066682,0.18684357,0.00094520615,0.00059177756,0.06925763],"study_design_scores_gemma":[0.000038256658,0.0015597413,0.87858975,0.000030735162,0.0004463872,0.00015253604,0.0009335205,0.056904946,0.058727395,0.000527239,0.0020272695,0.00006222723],"about_ca_topic_score_codex":0.007696623,"about_ca_topic_score_gemma":0.008541782,"teacher_disagreement_score":0.007696623,"about_ca_system_score_codex":0.0005104603,"about_ca_system_score_gemma":0.00026751062,"threshold_uncertainty_score":0.015303671},"labels":[],"label_agreement":null},{"id":"W3205536725","doi":"10.3934/mbe.2021439","title":"Assessing the impact of adherence to Non-pharmaceutical interventions and indirect transmission on the dynamics of COVID-19: a mathematical modelling study","year":2021,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of British Columbia","funders":"","keywords":"Psychological intervention; Coronavirus disease 2019 (COVID-19); Basic reproduction number; Transmission (telecommunications); Public health; Public health interventions; Disease; Population; Order (exchange); Pandemic; Econometrics; Environmental health; Computer science; Risk analysis (engineering); Medicine; Business; Infectious disease (medical specialty); Mathematics; Telecommunications","score_opus":0.3613831742487881,"score_gpt":0.5067245110597643,"score_spread":0.14534133681097627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205536725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8556661,0.0012518652,0.12988639,0.0024325645,0.00009431878,0.00016554946,0.000662592,0.00011107704,0.009729483],"genre_scores_gemma":[0.984023,0.00051101507,0.01181488,0.00013964351,0.00004272755,0.00012683804,0.00019839588,0.00002016533,0.0031233253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914813,0.00048446492,0.00004064993,0.000105506406,0.00006830955,0.00015294903],"domain_scores_gemma":[0.9875822,0.010199069,0.0013388854,0.00025471253,0.00039880976,0.00022622843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026043504,0.00090118265,0.0014441754,0.0011118969,0.0004611223,0.0014336059,0.0013905294,0.0024215356,0.0026065686],"category_scores_gemma":[0.011427848,0.00039962528,0.002124016,0.00076134177,0.0010527496,0.001329194,0.0013809621,0.0015178502,0.00017581547],"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":[0.000076327946,0.00015599348,0.0052112085,0.000074582495,0.00010282837,0.00013018958,0.00006732892,0.98093814,0.0006164715,0.010309689,0.00025771616,0.0020595577],"study_design_scores_gemma":[0.000015744235,0.00005209195,0.0007186547,0.0000092237315,0.000032317093,0.00001876686,0.000022845028,0.9973658,0.000106886866,0.0015477169,0.00010077729,0.000009298166],"about_ca_topic_score_codex":0.017586164,"about_ca_topic_score_gemma":0.0067411605,"teacher_disagreement_score":0.017586164,"about_ca_system_score_codex":0.0014075991,"about_ca_system_score_gemma":0.0015411532,"threshold_uncertainty_score":0.0349676},"labels":[],"label_agreement":null},{"id":"W3211570745","doi":"10.3934/mbe.2022001","title":"Models to assess imported cases on the rebound of COVID-19 and design a long-term border control strategy in Heilongjiang Province, China","year":2021,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"China; Government (linguistics); Pandemic; Business; Population; Closure (psychology); Control (management); Quarantine; Coronavirus disease 2019 (COVID-19); Transmission (telecommunications); Port (circuit theory); Economic growth; Geography; Development economics; Economics; Environmental health; Computer science; Engineering; Medicine; Disease; Infectious disease (medical specialty)","score_opus":0.2921603141124204,"score_gpt":0.4120233243555063,"score_spread":0.11986301024308593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211570745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8557333,0.00094073976,0.12688088,0.001654657,0.00019695633,0.00017132895,0.0016658265,0.0003088399,0.012447424],"genre_scores_gemma":[0.99417937,0.00017539781,0.0021547002,0.000038542796,0.000016667263,0.000071726754,0.00034955816,0.000009854668,0.003004176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996536,0.00008050194,0.000024797204,0.000096285745,0.00003508156,0.00010980353],"domain_scores_gemma":[0.9991762,0.0003469975,0.00018099193,0.000021965276,0.00019783893,0.00007587858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094776443,0.0011059332,0.0007711807,0.0007230589,0.0005477635,0.0012462004,0.0014016671,0.0011781871,0.0029202367],"category_scores_gemma":[0.001961714,0.00039379156,0.00092620123,0.0003690492,0.0005539337,0.0006425814,0.0009395633,0.0008986296,0.00017009025],"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":[0.00004051853,0.000036535548,0.0072112884,0.000028754832,0.00003314446,0.00010881651,0.000046073434,0.9877291,0.000331886,0.0020631815,0.00042252295,0.0019481707],"study_design_scores_gemma":[0.0000068202626,0.000015428528,0.00095534173,0.0000030600781,0.000013075517,0.000004610993,0.000018965726,0.9984755,0.00003108059,0.0003783792,0.000093561146,0.0000042247084],"about_ca_topic_score_codex":0.11717954,"about_ca_topic_score_gemma":0.045955326,"teacher_disagreement_score":0.11717954,"about_ca_system_score_codex":0.0016219706,"about_ca_system_score_gemma":0.0018907053,"threshold_uncertainty_score":0.23299497},"labels":[],"label_agreement":null},{"id":"W3215362846","doi":"10.3934/mbe.2022039","title":"Analysis of medical diagnosis based on variation co-efficient similarity measures under picture hesitant fuzzy sets and their application","year":2021,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centennial College","funders":"","keywords":"Singleton; Data mining; Computer science; Fuzzy logic; Similarity (geometry); Set (abstract data type); Variation (astronomy); Fuzzy set; Artificial intelligence; Mathematics","score_opus":0.07988576445181808,"score_gpt":0.37314105065787867,"score_spread":0.29325528620606056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215362846","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06428038,0.0008298648,0.931844,0.00029452745,0.000044979104,0.00004936286,0.000064784734,0.00006367441,0.002528337],"genre_scores_gemma":[0.92423946,0.00044220753,0.07387321,0.000049344028,0.00007146382,0.000055741602,0.00008354648,0.000014838614,0.0011701694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976706,0.0007306429,0.00018631115,0.0004724665,0.0007904323,0.00014944731],"domain_scores_gemma":[0.9965209,0.0019911104,0.00046937776,0.00017943977,0.0007137393,0.0001254828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031990511,0.0005303194,0.0008148716,0.003489022,0.0005222813,0.0019991915,0.0009465529,0.0008237832,0.001187944],"category_scores_gemma":[0.0098553635,0.0002203085,0.000936886,0.001830724,0.0012577334,0.0022722376,0.0009949352,0.0008302899,0.000115945324],"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":[0.00025567578,0.00011372659,0.011449074,0.000428343,0.00039759837,0.0007107597,0.0009650631,0.46595836,0.006660965,0.3464554,0.0015767639,0.16502832],"study_design_scores_gemma":[0.000004495935,0.00006788605,0.0017440534,0.000026487787,0.000033741875,0.00016772373,0.00011791097,0.9556886,0.0012454985,0.04026327,0.0006119792,0.000028464796],"about_ca_topic_score_codex":0.0019659316,"about_ca_topic_score_gemma":0.00087074237,"teacher_disagreement_score":0.003489022,"about_ca_system_score_codex":0.0014596032,"about_ca_system_score_gemma":0.00067775627,"threshold_uncertainty_score":0.01691842},"labels":[],"label_agreement":null},{"id":"W3215646830","doi":"10.3934/mbe.2022037","title":"Fuzzy-interval inequalities for generalized preinvex fuzzy interval valued functions","year":2021,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical Inequalities and Applications","field":"Mathematics","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Mathematics; Interval (graph theory); Hermite polynomials; Hadamard transform; Type (biology); Fuzzy logic; Inequality; Pure mathematics; Fuzzy set; Relation (database); Applied mathematics; Algebra over a field; Mathematical analysis; Computer science; Combinatorics; Artificial intelligence; Data mining","score_opus":0.09611435323444807,"score_gpt":0.32906498034904597,"score_spread":0.2329506271145979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215646830","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06665028,0.0016724969,0.880062,0.00057739014,0.00030696383,0.00006532154,0.00021809216,0.00008947907,0.05035802],"genre_scores_gemma":[0.8299398,0.0015498314,0.14441454,0.00031868494,0.00034767485,0.00012875373,0.00026885606,0.00005144158,0.022980459],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99923646,0.00016877035,0.00004678112,0.00013141918,0.00034214134,0.0000744224],"domain_scores_gemma":[0.9993375,0.0002767745,0.000074198106,0.000049089682,0.00022351337,0.000038920713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010644747,0.0005597998,0.00032402348,0.0008928585,0.00045484654,0.0014179184,0.00056434545,0.00050970545,0.005783311],"category_scores_gemma":[0.0018467974,0.00013665519,0.0005868968,0.00072960276,0.001006626,0.0017682894,0.0006498351,0.0017239224,0.00037568153],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011761188,0.000048900725,0.00055335823,0.0002102764,0.000047934875,0.0004056037,0.00046055787,0.027909461,0.01426703,0.90684134,0.0022599243,0.046877984],"study_design_scores_gemma":[0.000043624696,0.00018013707,0.0026134597,0.0001286871,0.00005739085,0.0006252183,0.00038000583,0.39508706,0.011915319,0.55392736,0.034979258,0.000062521685],"about_ca_topic_score_codex":0.0021090184,"about_ca_topic_score_gemma":0.0017851178,"teacher_disagreement_score":0.005783311,"about_ca_system_score_codex":0.0012498999,"about_ca_system_score_gemma":0.0005572384,"threshold_uncertainty_score":0.019347131},"labels":[],"label_agreement":null},{"id":"W3217806805","doi":"10.3934/mbe.2022050","title":"Complex pythagorean fuzzy aggregation operators based on confidence levels and their applications","year":2021,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centennial College","funders":"","keywords":"Pythagorean theorem; Closeness; Confidence interval; Computer science; Sensitivity (control systems); Fuzzy logic; Fuzzy set; CLs upper limits; Mathematics; Artificial intelligence; Algorithm; Data mining; Statistics; Medicine; Engineering","score_opus":0.15022240821364852,"score_gpt":0.37318635824427143,"score_spread":0.22296395003062291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217806805","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015894672,0.0018909,0.97567874,0.000420629,0.00009343808,0.000035347384,0.00008737381,0.000058742688,0.0058401227],"genre_scores_gemma":[0.57175875,0.0035735448,0.42103043,0.00019412566,0.00033074463,0.00020899667,0.00014149556,0.00005853125,0.0027033982],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99610704,0.001420111,0.0003612616,0.00062109815,0.0013093109,0.00018126317],"domain_scores_gemma":[0.996452,0.002099982,0.00043653377,0.00032501624,0.0005688347,0.00011762679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056216493,0.000995164,0.0008082338,0.0025466103,0.00063985545,0.003163279,0.0011351153,0.00090910756,0.0016613511],"category_scores_gemma":[0.011872344,0.00037678442,0.0015250411,0.0035707564,0.0028957853,0.004616846,0.001999376,0.0027413762,0.00022822472],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006521857,0.000027627211,0.0010390028,0.00022411265,0.0000982931,0.00016954979,0.00048888556,0.069062866,0.0024494054,0.854194,0.0011516346,0.071029484],"study_design_scores_gemma":[0.000014347166,0.000096797165,0.000750208,0.000102120954,0.00005045841,0.00024724787,0.00015627434,0.45838144,0.0019887853,0.5316542,0.0064942557,0.0000640085],"about_ca_topic_score_codex":0.0012826376,"about_ca_topic_score_gemma":0.00049520214,"teacher_disagreement_score":0.0056216493,"about_ca_system_score_codex":0.0015475095,"about_ca_system_score_gemma":0.0007807513,"threshold_uncertainty_score":0.029730499},"labels":[],"label_agreement":null},{"id":"W4205151331","doi":"10.3934/mbe.2022094","title":"A mathematical model for the dynamics of happiness","year":2021,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Happiness; Eudaimonia; Positive psychology; Psychology; Well-being; Set (abstract data type); Social psychology; Mathematics; Cognitive psychology; Computer science; Epistemology","score_opus":0.03678911720718451,"score_gpt":0.31206392958080664,"score_spread":0.2752748123736221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205151331","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040642183,0.0021276348,0.8489465,0.0074447114,0.0003246328,0.00007739156,0.00064987736,0.00024670016,0.099540204],"genre_scores_gemma":[0.84492105,0.0029311497,0.07857681,0.0009581383,0.00037191555,0.0006788913,0.00054390763,0.00012943332,0.07088876],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997944,0.000066650144,0.000011699947,0.00004214048,0.000056174154,0.00002896983],"domain_scores_gemma":[0.99968135,0.00013612697,0.000058120124,0.000020320796,0.00007560843,0.000028498354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005026243,0.0004742038,0.00044723702,0.0006559057,0.0006246768,0.0015041778,0.0009517101,0.001104466,0.008477584],"category_scores_gemma":[0.0017473657,0.00022791071,0.00080766715,0.0004343764,0.0009950276,0.0018622732,0.0011697046,0.0012993284,0.0015450205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011254712,0.000014209675,0.00029328582,0.00005190446,0.000013284824,0.00010261062,0.00018434311,0.09338969,0.0009977063,0.8982626,0.0023728756,0.004306219],"study_design_scores_gemma":[0.00001888005,0.000026740792,0.00024095688,0.000029099809,0.000011066086,0.000100360885,0.00007142108,0.63877285,0.00017201691,0.34839594,0.012138873,0.000021754839],"about_ca_topic_score_codex":0.0036810334,"about_ca_topic_score_gemma":0.0017777813,"teacher_disagreement_score":0.008477584,"about_ca_system_score_codex":0.0012012658,"about_ca_system_score_gemma":0.00091417023,"threshold_uncertainty_score":0.028360367},"labels":[],"label_agreement":null},{"id":"W4205294733","doi":"10.3934/mbe.2022064","title":"Discrete epidemic modelling of COVID-19 transmission in Shaanxi Province with media reporting and imported cases","year":2021,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Contact tracing; Outbreak; Coronavirus disease 2019 (COVID-19); China; Social distance; Transmission (telecommunications); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Environmental health; Geography; Medicine; Socioeconomics; Business; Computer science; Economics; Virology; Telecommunications; Infectious disease (medical specialty)","score_opus":0.2470536865616891,"score_gpt":0.3873714834020405,"score_spread":0.14031779684035137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205294733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89472026,0.0010050024,0.08276115,0.0018456093,0.00016026455,0.00017064872,0.0021261924,0.00018853601,0.017022345],"genre_scores_gemma":[0.9876725,0.0003946163,0.0038704446,0.00006494118,0.000023881415,0.00010199383,0.0005548456,0.00001248527,0.0073042917],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996131,0.00012970589,0.00001924216,0.00007491504,0.000043885993,0.00011923182],"domain_scores_gemma":[0.99919456,0.00040339716,0.0001337728,0.000023009648,0.00016332764,0.000081993094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008917536,0.0010291816,0.0008299881,0.0008792949,0.00062580785,0.0015778397,0.0017661891,0.0016714105,0.0028684894],"category_scores_gemma":[0.0018753301,0.0006349667,0.0013155995,0.00063653936,0.0008634758,0.0008057024,0.0011987477,0.001075092,0.00023052012],"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":[0.00005494718,0.00003315119,0.0050472044,0.0000366953,0.000030554726,0.0002891127,0.00008644166,0.98822546,0.00046567182,0.0044427663,0.0003186503,0.0009693146],"study_design_scores_gemma":[0.000011975078,0.000011849004,0.0006103721,0.0000044726653,0.000011943167,0.000012067366,0.000038016853,0.9986332,0.00003164997,0.00047125973,0.00015655154,0.0000065599806],"about_ca_topic_score_codex":0.15352589,"about_ca_topic_score_gemma":0.052951913,"teacher_disagreement_score":0.15352589,"about_ca_system_score_codex":0.0021722873,"about_ca_system_score_gemma":0.0024989923,"threshold_uncertainty_score":0.30526453},"labels":[],"label_agreement":null},{"id":"W4205729662","doi":"10.3934/mbe.2022116","title":"The effect of landscape fragmentation on Turing-pattern formation","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Turing; Pattern formation; Spatial ecology; Population; Fragmentation (computing); Ecology; Spatial heterogeneity; Statistical physics; Computer science; Physics; Biology","score_opus":0.008822645274168008,"score_gpt":0.2501401331325907,"score_spread":0.2413174878584227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205729662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9603561,0.00064018386,0.026366074,0.0006414642,0.000026902873,0.000020396852,0.000060260183,0.00010058092,0.011787969],"genre_scores_gemma":[0.9991345,0.00006364375,0.0005107322,0.00001286287,0.0000042971715,0.000003931853,0.0000055821056,0.0000046406644,0.00025992995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977976,0.00009240173,0.000013456705,0.000028455805,0.00003102612,0.000054909717],"domain_scores_gemma":[0.99701524,0.0016363852,0.00060015154,0.00032585286,0.00014539974,0.00027694152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000575543,0.00023483382,0.00027073637,0.00045264474,0.00050476636,0.0009103353,0.00030718464,0.0004882877,0.0012965212],"category_scores_gemma":[0.0061333845,0.00017258538,0.00048080017,0.00021869825,0.0013197956,0.0009006145,0.00090668624,0.00038814306,0.00013601767],"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":[0.00069712166,0.00013756809,0.07283951,0.00039384275,0.00030159223,0.0040624123,0.0021468252,0.5235379,0.10269753,0.24293393,0.0025634032,0.0476883],"study_design_scores_gemma":[0.00009544291,0.0002937192,0.070013806,0.000058445778,0.00013498866,0.0013408189,0.00047581966,0.80368406,0.01157821,0.10961843,0.0026198837,0.00008640848],"about_ca_topic_score_codex":0.0020714516,"about_ca_topic_score_gemma":0.0012643719,"teacher_disagreement_score":0.0020714516,"about_ca_system_score_codex":0.0007616335,"about_ca_system_score_gemma":0.0003093123,"threshold_uncertainty_score":0.005526006},"labels":[],"label_agreement":null},{"id":"W4205886197","doi":"10.3934/mbe.2022136","title":"Cross immunity protection and antibody-dependent enhancement in a distributed delay dynamic model","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Dengue fever; Delay differential equation; Immunity; Stability (learning theory); Transmission (telecommunications); Basic reproduction number; Epidemic model; Lyapunov function; Bifurcation; Control theory (sociology); Applied mathematics; Biology; Mathematics; Computer science; Virology; Immunology; Differential equation; Physics; Immune system; Mathematical analysis; Medicine; Telecommunications; Artificial intelligence; Nonlinear system","score_opus":0.01822171389642224,"score_gpt":0.2973379368080754,"score_spread":0.27911622291165317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205886197","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45628673,0.0014766146,0.50296724,0.0021903464,0.00027871225,0.00016724116,0.0006073822,0.00020173844,0.035824064],"genre_scores_gemma":[0.98217654,0.00047205423,0.0067143966,0.000088647656,0.00004539158,0.00012633686,0.00007195864,0.000014614712,0.010289936],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999778,0.00006542961,0.000013285265,0.00005820179,0.000038284976,0.000046886624],"domain_scores_gemma":[0.9994666,0.00021083571,0.00016097752,0.00002275797,0.00007393961,0.0000648449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005592105,0.0008320656,0.0009695936,0.0005778265,0.00045289184,0.0011885075,0.0012579784,0.001626162,0.0024630562],"category_scores_gemma":[0.0012139942,0.00034087378,0.00075989106,0.00039630817,0.0009224293,0.00092469255,0.0011379361,0.0008469163,0.00022987375],"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":[0.00009029664,0.000099597215,0.0022271771,0.00012003399,0.00008389806,0.0006752713,0.00023844032,0.89962643,0.007899984,0.08523151,0.0005188582,0.0031885018],"study_design_scores_gemma":[0.00002534387,0.000041814,0.00027712574,0.0000060861084,0.000024708192,0.000042251086,0.000020980751,0.9936108,0.00016811716,0.005413707,0.00035895617,0.000010094304],"about_ca_topic_score_codex":0.005421947,"about_ca_topic_score_gemma":0.002608369,"teacher_disagreement_score":0.005421947,"about_ca_system_score_codex":0.0009043795,"about_ca_system_score_gemma":0.0007421407,"threshold_uncertainty_score":0.010780752},"labels":[],"label_agreement":null},{"id":"W4205992844","doi":"10.3934/mbe.2022134","title":"Coverage control of mobile sensor networks with directional sensing","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Control theory (sociology); Mobile robot; Controller (irrigation); Position (finance); Invariant (physics); Orientation (vector space); Wireless sensor network; Control (management); Artificial intelligence; Mathematics; Robot","score_opus":0.00488757924057895,"score_gpt":0.18373305746777688,"score_spread":0.17884547822719793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205992844","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09094698,0.00083142414,0.90154165,0.00020763562,0.00005611417,0.000039483097,0.000034821685,0.00015039003,0.0061914907],"genre_scores_gemma":[0.9927181,0.0002509624,0.006180891,0.000025260273,0.000013436924,0.000029351513,0.000019983625,0.0000060305597,0.00075593084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978584,0.000047720376,0.0000075071503,0.000055427812,0.00006366756,0.000039874983],"domain_scores_gemma":[0.99977666,0.000074674055,0.000068032554,0.000012283318,0.0000515979,0.00001667954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027959052,0.0005698481,0.000303536,0.0002796393,0.00022497146,0.00046788275,0.00045710782,0.0003486546,0.00042658974],"category_scores_gemma":[0.0007787554,0.00013490913,0.00026190776,0.00027620635,0.00043069234,0.0003961839,0.0006266993,0.000312412,0.00006094274],"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":[0.00013227935,0.000035889334,0.0010789558,0.0001546287,0.0000338747,0.00019490591,0.00016185905,0.8989667,0.024302922,0.022015544,0.0007705469,0.05215192],"study_design_scores_gemma":[0.0000070235433,0.00008720687,0.00027408625,0.000005238374,0.0000066169437,0.000024990977,0.000022271444,0.9949856,0.0011620001,0.0028912695,0.00052956253,0.000004128503],"about_ca_topic_score_codex":0.00275128,"about_ca_topic_score_gemma":0.0013793587,"teacher_disagreement_score":0.00275128,"about_ca_system_score_codex":0.0003419174,"about_ca_system_score_gemma":0.00027009854,"threshold_uncertainty_score":0.005470574},"labels":[],"label_agreement":null},{"id":"W4206374656","doi":"10.3934/mbe.2022117","title":"Dynamic analysis of a malaria reaction-diffusion model with periodic delays and vector bias","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Malaria; Vector (molecular biology); Diffusion; Transmission (telecommunications); Basic reproduction number; Epidemic model; Econometrics; Disease transmission; Biology; Statistics; Statistical physics; Mathematics; Computer science; Applied mathematics; Physics; Demography; Immunology; Virology; Population; Telecommunications","score_opus":0.01821982313623801,"score_gpt":0.24950107874618987,"score_spread":0.23128125560995186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206374656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48221636,0.0040543145,0.473824,0.0047812113,0.00034166678,0.00021161641,0.0012087647,0.00029150097,0.03307057],"genre_scores_gemma":[0.9744196,0.0009728084,0.0098117115,0.00016061276,0.00005877787,0.0001399294,0.0002166025,0.000031682164,0.014188202],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973136,0.00009530026,0.000013585176,0.00006157896,0.00003982576,0.00005839388],"domain_scores_gemma":[0.99914587,0.0004005664,0.00023018153,0.000024031462,0.000114802846,0.000084488194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007006273,0.00089875254,0.0009387817,0.0006215095,0.0004101553,0.0008850014,0.0011173685,0.0015441056,0.0025890258],"category_scores_gemma":[0.0024849914,0.00039596832,0.001001741,0.00041387515,0.0007158035,0.001016861,0.00083242846,0.0010116199,0.00027903263],"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":[0.000089775494,0.00005062843,0.002161051,0.00010771292,0.00008788229,0.00038030106,0.00013088231,0.93304414,0.004388277,0.056592118,0.0006900675,0.0022772783],"study_design_scores_gemma":[0.000014458298,0.000019714245,0.00021312066,0.0000044236504,0.000017501452,0.000027826765,0.000015212385,0.9961739,0.00012171456,0.0030891588,0.00029528124,0.000007670166],"about_ca_topic_score_codex":0.014513288,"about_ca_topic_score_gemma":0.0051905476,"teacher_disagreement_score":0.014513288,"about_ca_system_score_codex":0.0011781192,"about_ca_system_score_gemma":0.0010289688,"threshold_uncertainty_score":0.028857589},"labels":[],"label_agreement":null},{"id":"W4211001189","doi":"10.3934/mbe.2022168","title":"Immuno-epidemiological co-affection model of HIV infection and opioid addiction","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Opioid; Addiction; Epidemiology; Morphine; Population; Affection; Medicine; Immunology; Psychology; Psychiatry; Internal medicine; Environmental health; Social psychology","score_opus":0.02555437087937564,"score_gpt":0.2744949299286052,"score_spread":0.24894055904922954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211001189","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4061933,0.0019774258,0.5159182,0.011292849,0.000571591,0.00025289343,0.0013117644,0.00030165887,0.062180288],"genre_scores_gemma":[0.9503897,0.0009928402,0.010619161,0.00046839405,0.00025299814,0.00023895728,0.00021259951,0.00002943557,0.036795963],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992331,0.00029780818,0.000029881625,0.00014722481,0.00013601404,0.00015588985],"domain_scores_gemma":[0.99879104,0.00046781145,0.0003061627,0.00006681015,0.00018257329,0.00018568413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092101365,0.0008417319,0.00088233897,0.0009082482,0.0006666616,0.0013248489,0.0018908143,0.0015429284,0.005034902],"category_scores_gemma":[0.0025409732,0.0003448994,0.0009408887,0.0006491777,0.00118461,0.0019722814,0.0014512187,0.0014288533,0.0007753012],"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":[0.000108944514,0.00022242047,0.009586744,0.0001408695,0.00017015473,0.0022798127,0.0005690164,0.5341443,0.0029718915,0.4390047,0.0030221688,0.0077790897],"study_design_scores_gemma":[0.000047339803,0.0000893669,0.0019304429,0.000014395698,0.00004727574,0.00051669165,0.00011464982,0.94454926,0.000113257825,0.05061081,0.001940444,0.000026068186],"about_ca_topic_score_codex":0.006897316,"about_ca_topic_score_gemma":0.0031930262,"teacher_disagreement_score":0.006897316,"about_ca_system_score_codex":0.0009975196,"about_ca_system_score_gemma":0.0008792718,"threshold_uncertainty_score":0.016843379},"labels":[],"label_agreement":null},{"id":"W4214863235","doi":"10.3934/mbe.2022203","title":"Temperature dependent developmental time for the larva stage of Aedes aegypti","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Pupa; Larva; Aedes aegypti; Biology; Developmental stage; Stage (stratigraphy); Statistics; Mathematics; Ecology","score_opus":0.009349405477388904,"score_gpt":0.23152560701723285,"score_spread":0.22217620153984394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214863235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9395983,0.000616009,0.05530183,0.0002262438,0.00002013616,0.000025394942,0.0011115219,0.00012834459,0.0029721765],"genre_scores_gemma":[0.9954075,0.00021086985,0.0032228676,0.000018681954,0.0000026797322,0.000017620743,0.00041467848,0.000023116218,0.00068187225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987626,0.000019910593,0.000007889506,0.000050727485,0.000019628622,0.000025591175],"domain_scores_gemma":[0.99941945,0.0002557301,0.00018373369,0.000047457037,0.00006760152,0.000026146006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039686263,0.00020311822,0.00017036796,0.0003400933,0.00015640279,0.00024446158,0.00025081562,0.00026386653,0.0017364201],"category_scores_gemma":[0.0017673555,0.00014890463,0.00046161198,0.00020180861,0.00023753018,0.00035705502,0.0001516774,0.00041429853,0.00035143676],"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":[0.0005358281,0.00008149193,0.08927749,0.00035477584,0.00014801412,0.00035130398,0.000318455,0.6034199,0.26843888,0.015381867,0.0012088757,0.020483155],"study_design_scores_gemma":[0.00003212027,0.00028908078,0.14210393,0.000049570444,0.00008497655,0.0007940437,0.00011713306,0.79186404,0.05519329,0.0069333953,0.002445512,0.00009286628],"about_ca_topic_score_codex":0.002683468,"about_ca_topic_score_gemma":0.0026257758,"teacher_disagreement_score":0.002683468,"about_ca_system_score_codex":0.0007202447,"about_ca_system_score_gemma":0.00032342138,"threshold_uncertainty_score":0.0058089495},"labels":[],"label_agreement":null},{"id":"W4220719371","doi":"10.3934/mbe.2022250","title":"A patchy model for tick population dynamics with patch-specific developmental delays","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Tick; Population; Delay differential equation; Basic reproduction number; Biology; Perturbation (astronomy); Dynamical systems theory; Ecology; Mathematics; Differential equation; Physics; Mathematical analysis","score_opus":0.008607170228861993,"score_gpt":0.20409433328457735,"score_spread":0.19548716305571537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220719371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65350753,0.0006161143,0.3330308,0.0011288328,0.000083423125,0.00006183656,0.00056722155,0.0001472116,0.010857069],"genre_scores_gemma":[0.9810817,0.00028370184,0.008625013,0.000063182895,0.00003495186,0.00007115126,0.00010111428,0.00002501883,0.009714126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998913,0.0000235366,0.0000056753834,0.000038893286,0.00001775435,0.00002276614],"domain_scores_gemma":[0.999678,0.000118810836,0.000093606126,0.000023485843,0.00003445824,0.000051675583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020550577,0.00041009355,0.0005075705,0.00035752886,0.00023736875,0.000570434,0.0011117752,0.0010128273,0.0026538293],"category_scores_gemma":[0.0010257399,0.00026760728,0.0006211456,0.00034444805,0.0006396284,0.0009779428,0.0006342893,0.0007321282,0.00028162054],"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":[0.00006480794,0.00004445531,0.003529279,0.00006541522,0.0000664711,0.0005964457,0.00020853171,0.9075322,0.015253008,0.06882842,0.00059473683,0.0032161658],"study_design_scores_gemma":[0.000024689545,0.000030239185,0.0008767528,0.0000026087541,0.000017180611,0.00007856527,0.000023173516,0.99198544,0.00017710782,0.006435471,0.00033960142,0.000009145461],"about_ca_topic_score_codex":0.007990957,"about_ca_topic_score_gemma":0.003643502,"teacher_disagreement_score":0.007990957,"about_ca_system_score_codex":0.0005943445,"about_ca_system_score_gemma":0.0004181363,"threshold_uncertainty_score":0.01588887},"labels":[],"label_agreement":null},{"id":"W4224246366","doi":"10.3934/mbe.2022239","title":"Positivity and monotonicity results for discrete fractional operators involving the exponential kernel","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Fractional Differential Equations Solutions","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Mathematics; Monotonic function; Nabla symbol; Convexity; Exponential function; Applied mathematics; Kernel (algebra); Fractional calculus; Mathematical analysis; Pure mathematics","score_opus":0.036895811703282315,"score_gpt":0.2949632167271765,"score_spread":0.2580674050238942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224246366","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3718968,0.0015504993,0.52840173,0.0022991528,0.0002418365,0.0001007177,0.00019096282,0.00012327122,0.09519506],"genre_scores_gemma":[0.96445084,0.000614279,0.025270319,0.00024196162,0.00019249402,0.00006216649,0.000073901174,0.00006671806,0.009027445],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991787,0.00032714283,0.0000331908,0.000111898735,0.00022830279,0.00012068634],"domain_scores_gemma":[0.9969896,0.0014350467,0.00037539806,0.00025605012,0.0006164517,0.000327317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022674191,0.00068136136,0.0005928786,0.0019273564,0.001212462,0.0019250133,0.0009906277,0.0008243501,0.0032947531],"category_scores_gemma":[0.0053240806,0.0003381891,0.0017764237,0.00054235215,0.003486614,0.0033433186,0.0019432978,0.0024881363,0.00030251447],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034275843,0.00003470767,0.0007772412,0.00008191768,0.000016041648,0.00025799748,0.00018904539,0.009954034,0.0054026167,0.9785816,0.00070675364,0.003963673],"study_design_scores_gemma":[0.000010327621,0.0000596795,0.0011626185,0.000040513325,0.00001830806,0.00061765045,0.00017016713,0.31755275,0.00313581,0.67475456,0.0024346102,0.000043027572],"about_ca_topic_score_codex":0.0014686203,"about_ca_topic_score_gemma":0.0010310182,"teacher_disagreement_score":0.0032947531,"about_ca_system_score_codex":0.0011747456,"about_ca_system_score_gemma":0.00084329053,"threshold_uncertainty_score":0.011991382},"labels":[],"label_agreement":null},{"id":"W4224255597","doi":"10.3934/mbe.2022227","title":"A new perspective on infection forces with demonstration by a DDE infectious disease model","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Perspective (graphical); Bifurcation; Disease; Hopf bifurcation; Infectious disease (medical specialty); Epidemic model; Disease control; Computer science; Mathematics; Medicine; Physics; Virology; Artificial intelligence; Environmental health; Pathology","score_opus":0.011200496954610588,"score_gpt":0.25478271995191126,"score_spread":0.24358222299730067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224255597","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038214654,0.0105401,0.8820352,0.013816237,0.0012820183,0.00006605897,0.0002637583,0.00011946059,0.053662542],"genre_scores_gemma":[0.85653985,0.012372961,0.0991166,0.002461643,0.0028970328,0.00026782454,0.00014138919,0.000114989045,0.026087781],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923813,0.00034119777,0.000039938823,0.00012245348,0.00017743692,0.00008086366],"domain_scores_gemma":[0.9987546,0.00068354816,0.00017923536,0.00012700079,0.00013221733,0.00012332924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015245236,0.001083437,0.0011133845,0.0014860944,0.0007667851,0.0019034892,0.0014326703,0.0025432403,0.004338236],"category_scores_gemma":[0.0034919395,0.0004613054,0.0013897463,0.00072851015,0.0024096658,0.0051638205,0.0020984535,0.0030606263,0.0005441746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017976528,0.00002605171,0.0005313223,0.00010190702,0.000020826128,0.00020640473,0.00017542636,0.022091817,0.0015089744,0.9693927,0.0009817852,0.0049448563],"study_design_scores_gemma":[0.000026046571,0.00011423806,0.00036497164,0.000091021386,0.00003608533,0.000377542,0.00011864691,0.2444883,0.00040566118,0.73491746,0.019014655,0.000045352393],"about_ca_topic_score_codex":0.0013877288,"about_ca_topic_score_gemma":0.00061532843,"teacher_disagreement_score":0.004338236,"about_ca_system_score_codex":0.0010041738,"about_ca_system_score_gemma":0.00084972923,"threshold_uncertainty_score":0.014512837},"labels":[],"label_agreement":null},{"id":"W4225611092","doi":"10.3934/mbe.2022310","title":"A mathematical model of discrete attachment to a cellulolytic biofilm using random DEs","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Biocrusts and Microbial Ecology","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Ode; Discretization; Ordinary differential equation; Applied mathematics; Convergence (economics); Computer science; Solver; Mathematical optimization; Mathematics; Differential equation; Mathematical analysis","score_opus":0.029223662947528803,"score_gpt":0.22985669735559736,"score_spread":0.20063303440806857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225611092","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10311119,0.0007407838,0.8729821,0.0012419147,0.00016598878,0.00009200359,0.00033164123,0.00018612391,0.021148186],"genre_scores_gemma":[0.85647315,0.0013871104,0.09323803,0.00042517856,0.00014816092,0.00043489225,0.0002666757,0.00010644776,0.04752042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960154,0.000094558076,0.000029611178,0.0001090185,0.00012001876,0.000045319466],"domain_scores_gemma":[0.9995592,0.00016321344,0.00011140108,0.000050903713,0.0000652233,0.000050042123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006697339,0.0007806821,0.00071828265,0.00084121356,0.0005195081,0.0013944622,0.0019731545,0.002151896,0.0020671072],"category_scores_gemma":[0.0011512898,0.00055769295,0.001103847,0.0006088971,0.0014668795,0.0015640797,0.0013839575,0.0011610122,0.00051451084],"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":[0.000026695549,0.00006214636,0.0006739799,0.000096247386,0.000026300278,0.00039802265,0.00013660075,0.6629443,0.014212442,0.3173725,0.0005829613,0.0034677852],"study_design_scores_gemma":[0.000010050692,0.000027132808,0.00013487118,0.000005549117,0.000007241037,0.00006526027,0.000014318193,0.98394716,0.000609227,0.014059338,0.0011048754,0.0000149511425],"about_ca_topic_score_codex":0.005138597,"about_ca_topic_score_gemma":0.0024603584,"teacher_disagreement_score":0.005138597,"about_ca_system_score_codex":0.0014203367,"about_ca_system_score_gemma":0.00073711236,"threshold_uncertainty_score":0.010305285},"labels":[],"label_agreement":null},{"id":"W4226101468","doi":"10.3934/mbe.2022305","title":"Threshold dynamics of a viral infection model with defectively infected cells","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Viral infection; Basic reproduction number; Lyapunov function; Biology; Virus; Dynamics (music); Viral matrix protein; Stability (learning theory); Matrix (chemical analysis); Reproduction; Virology; Viral load; Applied mathematics; Expression (computer science); Mathematics; Biological system; Computer science; Physics; Ecology; Chemistry; Population","score_opus":0.013483154188686376,"score_gpt":0.2370040283419292,"score_spread":0.22352087415324284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226101468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72598374,0.0007635869,0.25654244,0.0012415509,0.00011672588,0.000074775126,0.00022569863,0.00021825593,0.014833229],"genre_scores_gemma":[0.9894155,0.00023763014,0.0044444,0.00006367794,0.00002028928,0.000047320704,0.000052860687,0.00001545769,0.0057028816],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976486,0.00005846521,0.000011084695,0.000050791,0.000055615994,0.000059177008],"domain_scores_gemma":[0.9995078,0.00015314334,0.00013176362,0.000028626979,0.000076610864,0.00010201293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041665515,0.000553664,0.0008668607,0.0005029123,0.0004497699,0.0012300835,0.0010390651,0.0010528554,0.0020705676],"category_scores_gemma":[0.001310735,0.00023463662,0.00078104786,0.00026588683,0.0011177821,0.0012513394,0.0010019118,0.0008563934,0.0002522187],"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":[0.00016374339,0.00008753568,0.0038781632,0.000098581055,0.00008911782,0.0012792356,0.0006013907,0.7755181,0.03849784,0.17514461,0.0008914736,0.003750151],"study_design_scores_gemma":[0.000020437603,0.000051642746,0.0004157627,0.0000063142816,0.000018907425,0.0001315892,0.000052059302,0.98638713,0.0007332925,0.011797189,0.00036881302,0.000016845344],"about_ca_topic_score_codex":0.0062866597,"about_ca_topic_score_gemma":0.0016479566,"teacher_disagreement_score":0.0062866597,"about_ca_system_score_codex":0.0010034407,"about_ca_system_score_gemma":0.0007095464,"threshold_uncertainty_score":0.012500107},"labels":[],"label_agreement":null},{"id":"W4226217608","doi":"10.3934/mbe.2022272","title":"A machine learning approach to differentiate between COVID-19 and influenza infection using synthetic infection and immune response data","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; National Research Council Canada; York University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Immune system; Virology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Immunology; Viral infection; Medicine; Virus; Infectious disease (medical specialty); Pathology; Outbreak; Disease","score_opus":0.08491085373943266,"score_gpt":0.3435286874086572,"score_spread":0.25861783366922453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226217608","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7221796,0.00036638716,0.2716841,0.0007980906,0.00011881929,0.00037423076,0.0021122796,0.00094630645,0.0014202667],"genre_scores_gemma":[0.94986784,0.000061641236,0.048368342,0.00009402251,0.000021085987,0.00013833732,0.0011901557,0.0000128020865,0.00024579937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921453,0.00040466484,0.0000759565,0.00015145769,0.00010364592,0.000049741528],"domain_scores_gemma":[0.9954194,0.0032800033,0.00043216633,0.00036290006,0.00037494212,0.00013056342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028783442,0.00063945184,0.00039729718,0.0010664876,0.00024401586,0.00064748275,0.0006068904,0.0007799578,0.0005385643],"category_scores_gemma":[0.00825232,0.0001932865,0.0007949118,0.000414599,0.00043178233,0.00039372663,0.00050473824,0.00081363326,0.00016937926],"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":[0.0006788577,0.0009059113,0.08585646,0.00018502826,0.00029880647,0.00038461573,0.00022993694,0.81283396,0.011818533,0.0033997486,0.0016476298,0.08176045],"study_design_scores_gemma":[0.000011664264,0.00017809872,0.004127675,0.000007168841,0.000012814232,0.000087281405,0.00002751108,0.99147594,0.0023039368,0.0014345814,0.00032278866,0.000010543133],"about_ca_topic_score_codex":0.0018140778,"about_ca_topic_score_gemma":0.0016094445,"teacher_disagreement_score":0.0028783442,"about_ca_system_score_codex":0.00060877093,"about_ca_system_score_gemma":0.0006672385,"threshold_uncertainty_score":0.015222311},"labels":[],"label_agreement":null},{"id":"W4246881755","doi":"10.3934/mbe.2006.3.1i","title":"From the Guest Editors","year":2006,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of British Columbia","funders":"","keywords":"Courage; Curiosity; Field (mathematics); Mathematics education; Computer science; Mathematics; Psychology; Political science; Law","score_opus":0.0038225061996176495,"score_gpt":0.19554714349036406,"score_spread":0.1917246372907464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246881755","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00043793913,0.022217518,0.0010508957,0.054028008,0.7708984,0.0001513035,0.0009552958,0.00063324586,0.14962742],"genre_scores_gemma":[0.0030562056,0.015925542,0.0007378771,0.028147561,0.27526286,0.00011837064,0.0010164706,0.0005663033,0.6751688],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99825436,0.0002203253,0.00018869752,0.00036091104,0.00080820004,0.000167391],"domain_scores_gemma":[0.9910715,0.0011675252,0.00044778595,0.0005875091,0.0046278206,0.002097773],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018920709,0.001307378,0.0010960668,0.002066006,0.0017135513,0.0065268204,0.0018980164,0.002948085,0.33495045],"category_scores_gemma":[0.012159983,0.0005072907,0.0007208047,0.0016033181,0.00065650267,0.0041573,0.0029583909,0.004289682,0.31614515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001872527,0.00001140957,0.00004180478,0.00009780697,0.0000021384205,0.000040516188,0.000017038516,0.000013720123,0.000097316275,0.00067312166,0.9766569,0.022329483],"study_design_scores_gemma":[0.0000035358369,0.0000067182277,0.0000787116,0.00006491976,0.000001632995,0.000071148046,0.000017653745,0.000014194303,0.000042497937,0.00023734006,0.99945885,0.0000027868423],"about_ca_topic_score_codex":0.00066711736,"about_ca_topic_score_gemma":0.0013216729,"teacher_disagreement_score":0.33495045,"about_ca_system_score_codex":0.0011759222,"about_ca_system_score_gemma":0.0016940573,"threshold_uncertainty_score":0.94861245},"labels":[],"label_agreement":null},{"id":"W4248514831","doi":"10.3934/mbe.2013.10.5xxv","title":"Preface to Special Issue in Honor of Carlos Castillo-Chavez","year":2013,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Honor; Population; Quarter (Canadian coin); Mathematics; Sociology; Computer science; History; Demography","score_opus":0.014323918132102636,"score_gpt":0.2581433967265162,"score_spread":0.24381947859441358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248514831","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017046464,0.0076215933,0.0003820414,0.05134981,0.9245528,0.00005238394,0.00025458913,0.00014789379,0.0154684],"genre_scores_gemma":[0.0020885565,0.010170753,0.00031068115,0.022038579,0.84181285,0.00007296378,0.00036999476,0.0002496905,0.12288587],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987025,0.00016911118,0.00012297236,0.00027080157,0.00059508183,0.00013954169],"domain_scores_gemma":[0.9925673,0.0012975613,0.00040771565,0.0002589502,0.0033490327,0.0021194129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018145683,0.0018970437,0.0018833731,0.0016170248,0.0019590391,0.0056773648,0.0015663145,0.0040221727,0.11985803],"category_scores_gemma":[0.011868035,0.00046487642,0.0009934414,0.0007726416,0.0007069835,0.003320297,0.0021466613,0.006570104,0.09084481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014502229,0.000009098505,0.000026360385,0.00005161487,0.0000020392788,0.000043367687,0.000010345276,0.000013602578,0.000042400545,0.00023713986,0.9939156,0.0056340485],"study_design_scores_gemma":[0.000008988204,0.00001985681,0.00022960012,0.00014856351,0.0000047435387,0.00021597483,0.00004091162,0.000057322184,0.00007056601,0.00059341086,0.998602,0.0000080265045],"about_ca_topic_score_codex":0.0010626651,"about_ca_topic_score_gemma":0.0016736359,"teacher_disagreement_score":0.11985803,"about_ca_system_score_codex":0.0018715924,"about_ca_system_score_gemma":0.0019388692,"threshold_uncertainty_score":0.40096503},"labels":[],"label_agreement":null},{"id":"W4283328486","doi":"10.3934/mbe.2022323","title":"Optimal control and Bayes inference applied to complex microbial communities","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Georgian College","funders":"","keywords":"Mutualism (biology); Biology; Ecosystem; Competition (biology); Extinction (optical mineralogy); Antimicrobial; Bacteria; Population; Ecology; Microbiology; Genetics","score_opus":0.009213933811891558,"score_gpt":0.2279628770229178,"score_spread":0.21874894321102623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283328486","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0068722875,0.0007099764,0.99088204,0.00031673763,0.00008699767,0.000056691937,0.000061299535,0.00018948274,0.00082451483],"genre_scores_gemma":[0.50966936,0.0015770827,0.48090157,0.00041382763,0.0005126323,0.0007597147,0.00052043155,0.00023297836,0.0054124687],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958996,0.0025374964,0.00023989631,0.00067465665,0.00040247012,0.00024576404],"domain_scores_gemma":[0.96876794,0.027904099,0.0010541047,0.0005769727,0.0013470182,0.00034985304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011848809,0.0014081394,0.0024749048,0.0023853933,0.0010004382,0.0021355909,0.0018347383,0.0021590022,0.003230216],"category_scores_gemma":[0.030713497,0.0011933118,0.0016462478,0.001489077,0.0023871616,0.0018533461,0.0018575497,0.0027750703,0.0003924207],"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":[0.00010950181,0.000055307948,0.0012409387,0.00019276021,0.00018126427,0.00009039005,0.00008135885,0.90175855,0.00036275559,0.0623249,0.0005488285,0.033053305],"study_design_scores_gemma":[0.000009264941,0.000011641127,0.000067577115,0.000009414298,0.000007843992,0.0000067785627,0.0000058687965,0.97312826,0.00009983412,0.026450133,0.00019646857,0.0000067792867],"about_ca_topic_score_codex":0.015642533,"about_ca_topic_score_gemma":0.009177155,"teacher_disagreement_score":0.015642533,"about_ca_system_score_codex":0.003044549,"about_ca_system_score_gemma":0.0037453633,"threshold_uncertainty_score":0.06266326},"labels":[],"label_agreement":null},{"id":"W4285048905","doi":"10.3934/mbe.2022462","title":"A nonlocal population model for the invasion of Canada goldenrod","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; National Science Foundation","keywords":"Biological dispersal; Exponential growth; Bounded function; Kernel (algebra); Population; Coincidence; Traveling wave; Mathematics; Applied mathematics; Mathematical analysis; Ecology; Statistical physics; Physics; Biology; Demography; Pure mathematics","score_opus":0.025153348121580443,"score_gpt":0.24831107056188664,"score_spread":0.2231577224403062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285048905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6913085,0.00151016,0.23801471,0.0029280519,0.0001507381,0.000101606354,0.0005985426,0.00022223449,0.065165415],"genre_scores_gemma":[0.97577375,0.00042489867,0.004961688,0.000091301015,0.000018655903,0.00004246568,0.00009604294,0.000015402418,0.018575756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984777,0.000025369201,0.0000047149324,0.000036232497,0.000038912924,0.00004695124],"domain_scores_gemma":[0.9998386,0.000025913105,0.000049811057,0.000007619986,0.00003845233,0.00003947397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019484361,0.00051095657,0.0005770122,0.0004993596,0.00091980206,0.00093722256,0.0018531915,0.0008664222,0.0023863374],"category_scores_gemma":[0.0004222172,0.00018308233,0.00044304738,0.00052708987,0.0013152612,0.0007827944,0.00083284976,0.0008777128,0.00019773006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006732294,0.000050521176,0.00398899,0.0001069464,0.000045224482,0.0009820801,0.0006004747,0.6791396,0.008501725,0.2986942,0.0025072698,0.005315763],"study_design_scores_gemma":[0.000033703705,0.00003920365,0.0018589512,0.000013413442,0.000030932504,0.00019778055,0.00019890297,0.9714804,0.00027321084,0.023119947,0.002719165,0.000034407345],"about_ca_topic_score_codex":0.28523356,"about_ca_topic_score_gemma":0.267684,"teacher_disagreement_score":0.71476644,"about_ca_system_score_codex":0.0042152116,"about_ca_system_score_gemma":0.0030407105,"threshold_uncertainty_score":0.56714666},"labels":[],"label_agreement":null},{"id":"W4285197185","doi":"10.3934/mbe.2022404","title":"Statistical modelling for a new family of generalized distributions with real data applications","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Kurtosis; Weibull distribution; Skewness; Trigonometry; Statistical inference; Trigonometric functions; Mathematics; Robustness (evolution); Algorithm; Algebraic number; Applied mathematics; Computer science; Theoretical computer science; Statistics; Mathematical analysis","score_opus":0.13800746068647202,"score_gpt":0.35623580067946586,"score_spread":0.21822833999299385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285197185","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011333708,0.00036956038,0.9866996,0.0002577901,0.00004278812,0.000031961423,0.00010591889,0.00013123067,0.0010275209],"genre_scores_gemma":[0.64337486,0.002975928,0.34242794,0.0004624988,0.0004285099,0.000597149,0.00078960834,0.00023158807,0.008712036],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99805117,0.00087795994,0.0000938568,0.0004881839,0.00036468595,0.0001241841],"domain_scores_gemma":[0.9946253,0.00340093,0.0007337722,0.0005395106,0.00056642236,0.00013408916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004740302,0.0010151917,0.0009435531,0.0020433404,0.0006093165,0.0021100803,0.0017232184,0.0011039532,0.002708485],"category_scores_gemma":[0.011652511,0.00042985255,0.0015158412,0.0021837177,0.0024957862,0.003769768,0.001326314,0.0019501119,0.00056616566],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053569114,0.000036775156,0.0053841104,0.00019990445,0.00010722149,0.00039563724,0.00041463613,0.19699226,0.0016912393,0.7444915,0.0024671669,0.047765926],"study_design_scores_gemma":[0.000010172093,0.000050479786,0.001017877,0.000038130784,0.000020902238,0.00024642894,0.00009303915,0.7053478,0.0003218743,0.28822693,0.004588739,0.00003766104],"about_ca_topic_score_codex":0.002766605,"about_ca_topic_score_gemma":0.0017792883,"teacher_disagreement_score":0.004740302,"about_ca_system_score_codex":0.0012179636,"about_ca_system_score_gemma":0.0011730118,"threshold_uncertainty_score":0.025069416},"labels":[],"label_agreement":null},{"id":"W4285270357","doi":"10.3934/mbe.2022416","title":"Coupling analysis between functional and structural brain networks in Alzheimer's disease","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Correlation; Montreal Cognitive Assessment; White matter; Clinical Dementia Rating; Diffusion MRI; Psychology; Dementia; Cognitive impairment; Neuroscience; Cognition; Internal medicine; Nuclear medicine; Medicine; Disease; Magnetic resonance imaging; Mathematics","score_opus":0.032946390571047306,"score_gpt":0.25130718237891103,"score_spread":0.21836079180786372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285270357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992847,0.0001994052,0.006363407,0.00001951963,0.0000024339006,0.000014824338,0.00010716218,0.000020265463,0.0004259338],"genre_scores_gemma":[0.99876595,0.00004983721,0.0010062214,0.0000025422028,0.000003829894,0.000009672318,0.000091950256,0.0000022984418,0.00006775443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996275,0.00015930747,0.000025623314,0.00009515505,0.000052498417,0.000039842707],"domain_scores_gemma":[0.99937785,0.00027015843,0.00016175264,0.000058725058,0.000060599596,0.00007080609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011206879,0.00025397545,0.00020910826,0.0015835705,0.00019077952,0.00029280112,0.00023868412,0.000179113,0.00067118474],"category_scores_gemma":[0.0027750663,0.00015051028,0.00030149234,0.00067981856,0.00022141259,0.0003401307,0.0003863171,0.00015848003,0.000075490774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000827099,0.0001266048,0.89196384,0.00016286594,0.0008328955,0.00065379957,0.0014130234,0.013980517,0.02454594,0.0015745852,0.00046197543,0.06345679],"study_design_scores_gemma":[0.000009571702,0.00014620325,0.96600103,0.000009376862,0.00013101588,0.00043127165,0.00023619141,0.029673478,0.0010278402,0.00210128,0.00021853491,0.000014286965],"about_ca_topic_score_codex":0.0032469572,"about_ca_topic_score_gemma":0.0031994113,"teacher_disagreement_score":0.0032469572,"about_ca_system_score_codex":0.00024628825,"about_ca_system_score_gemma":0.00013728262,"threshold_uncertainty_score":0.0064561367},"labels":[],"label_agreement":null},{"id":"W4285413029","doi":"10.3934/mbe.2022469","title":"Spatiotemporal and kinematic characteristics augmentation using Dual-GAN for ankle instability detection","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Diabetic Foot Ulcer Assessment and Management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Kinematics; Artificial intelligence; Gait; Dual (grammatical number); Process (computing); Deep learning; Data set; Embedding; Pattern recognition (psychology); Convolutional neural network; Stability (learning theory); Machine learning","score_opus":0.024798748384716622,"score_gpt":0.2810028427117426,"score_spread":0.25620409432702596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285413029","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07138263,0.00049435,0.9239353,0.0002998024,0.00010637877,0.000042639716,0.0004906142,0.0016421613,0.0016062171],"genre_scores_gemma":[0.87247247,0.0003760962,0.121674605,0.00029667464,0.00007847224,0.000100945785,0.0017058143,0.000110447334,0.003184605],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979943,0.000039266637,0.000011702797,0.00007555104,0.000042920074,0.0000311665],"domain_scores_gemma":[0.9997048,0.0001274461,0.000044251126,0.000044432923,0.000059761216,0.00001945048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042147766,0.0008240482,0.00042894608,0.0003960729,0.00010359399,0.00035089644,0.00066428934,0.00046115505,0.00082732167],"category_scores_gemma":[0.0013236047,0.00029726728,0.000648985,0.00033458148,0.00027613342,0.00044159187,0.00057883386,0.0009083373,0.00035868463],"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":[0.00041435324,0.00023595992,0.009082489,0.00015101419,0.00017403589,0.0003574344,0.00010329582,0.57982796,0.04068443,0.0035674735,0.005155296,0.36024627],"study_design_scores_gemma":[0.0000031598177,0.000028111923,0.00095568004,0.000003991962,0.00001001405,0.000043986714,0.0000050310896,0.9952003,0.0023816586,0.00101677,0.0003460988,0.000005217554],"about_ca_topic_score_codex":0.002666447,"about_ca_topic_score_gemma":0.0037697754,"teacher_disagreement_score":0.002666447,"about_ca_system_score_codex":0.0003109945,"about_ca_system_score_gemma":0.00041765382,"threshold_uncertainty_score":0.0053018928},"labels":[],"label_agreement":null},{"id":"W4291520290","doi":"10.3934/mbe.2022544","title":"The Beverton–Hold model on isolated time scales","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Conjecture; Upper and lower bounds; Generalization; Mathematics; Applied mathematics; Discrete time and continuous time; Quantum; Mathematical economics; Pure mathematics; Statistical physics; Mathematical analysis; Statistics; Physics; Quantum mechanics","score_opus":0.023602130564665185,"score_gpt":0.2618736547314102,"score_spread":0.23827152416674505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291520290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4934132,0.0011929051,0.41185248,0.0045675533,0.0005291606,0.00009092946,0.00043572942,0.00022295839,0.087694995],"genre_scores_gemma":[0.96333563,0.0003309204,0.014288006,0.00036293923,0.00016998505,0.00008409351,0.000089643516,0.000049640308,0.021289157],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975413,0.000042350333,0.000010763005,0.00007842715,0.000059077807,0.000055235458],"domain_scores_gemma":[0.9993513,0.00019401456,0.00017268785,0.00007892531,0.000057800396,0.00014517637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005787712,0.00041472647,0.0006684128,0.0004072698,0.00080250605,0.0012400333,0.0013190617,0.001506094,0.0062156525],"category_scores_gemma":[0.0017620643,0.00024028408,0.00072442903,0.0003097411,0.0016771522,0.0028577691,0.0014149555,0.0013310665,0.0004240284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028460012,0.000028061539,0.000571166,0.000044727363,0.000022197448,0.00029665462,0.00015955328,0.049799483,0.0026075898,0.9433462,0.001079958,0.0020159145],"study_design_scores_gemma":[0.000038245857,0.000046189616,0.00070950936,0.000014908393,0.000020292435,0.00013357699,0.00016322319,0.52358377,0.00042557577,0.47207934,0.002752846,0.000032525928],"about_ca_topic_score_codex":0.0025447637,"about_ca_topic_score_gemma":0.001713912,"teacher_disagreement_score":0.0062156525,"about_ca_system_score_codex":0.00091169553,"about_ca_system_score_gemma":0.0006930656,"threshold_uncertainty_score":0.020793438},"labels":[],"label_agreement":null},{"id":"W4294081767","doi":"10.3934/mbe.2022597","title":"A comparison and calibration of integer and fractional-order models of COVID-19 with stratified public response","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Identifiability; Fractional calculus; Basic reproduction number; Coronavirus disease 2019 (COVID-19); Integer (computer science); Sensitivity (control systems); Mathematics; Econometrics; Operator (biology); Order (exchange); Pandemic; Computer science; Statistics; Operations research; Mathematical optimization; Applied mathematics; Medicine; Economics; Biology; Engineering; Demography; Sociology","score_opus":0.2233298600179173,"score_gpt":0.39487600028802883,"score_spread":0.17154614027011153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294081767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88673913,0.0005340389,0.09479217,0.0021111458,0.000101882535,0.00011953927,0.0014442068,0.00028991431,0.01386796],"genre_scores_gemma":[0.99177927,0.000120381475,0.0053565544,0.00010480061,0.000013677579,0.000035313464,0.0003664905,0.000023727634,0.0021998032],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993697,0.00026911483,0.000028110604,0.00010572633,0.000078376725,0.00014897095],"domain_scores_gemma":[0.9961515,0.0024284122,0.0005153267,0.00030921915,0.0004680541,0.0001274617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023945132,0.0006228954,0.0005823072,0.00076135196,0.00056797685,0.0011966571,0.0014551356,0.0016527363,0.0019736316],"category_scores_gemma":[0.011065546,0.00032694158,0.0009773499,0.0006330452,0.0009491131,0.000927742,0.0007205276,0.0009791389,0.00021070799],"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":[0.00007785401,0.000035777564,0.0060549933,0.000032833814,0.000026085412,0.000078643825,0.00012173151,0.9738308,0.00044147953,0.01575802,0.0006331451,0.0029085872],"study_design_scores_gemma":[0.000018668552,0.0000245964,0.00255945,0.000013574706,0.000011408571,0.000017919707,0.000089241235,0.9914725,0.00019428012,0.0048984876,0.00067912973,0.00002073262],"about_ca_topic_score_codex":0.18813814,"about_ca_topic_score_gemma":0.08536567,"teacher_disagreement_score":0.18813814,"about_ca_system_score_codex":0.0038423506,"about_ca_system_score_gemma":0.0023047337,"threshold_uncertainty_score":0.37408608},"labels":[],"label_agreement":null},{"id":"W4296802455","doi":"10.3934/mbe.2022530","title":"External intervention model with direct and indirect propagation behaviors on social media platforms","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Psychological intervention; Social media; Microblogging; Public opinion; Pandemic; Intervention (counseling); Computer science; Macro; Information Dissemination; Public health interventions; Internet privacy; Data science; Psychology; Coronavirus disease 2019 (COVID-19); Medicine; Political science; World Wide Web; Law","score_opus":0.03308644405134239,"score_gpt":0.28075426378029694,"score_spread":0.24766781972895455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296802455","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39780283,0.000866244,0.53669274,0.0045990967,0.00039217915,0.0004246635,0.0014294187,0.0006216046,0.057171296],"genre_scores_gemma":[0.9729326,0.00033388226,0.00767281,0.00015060077,0.0000690248,0.00027671468,0.00013869548,0.000027443968,0.018398251],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993075,0.00020910564,0.00002679453,0.00017696319,0.0001253161,0.00015430618],"domain_scores_gemma":[0.9979765,0.0011104636,0.00035017484,0.00009154259,0.00031965435,0.00015167567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009620416,0.0010947176,0.00086672103,0.0009523855,0.0008365434,0.0015004355,0.0016238387,0.002072908,0.0071649454],"category_scores_gemma":[0.0035646358,0.00037439459,0.00093846244,0.00047046278,0.0013034615,0.002351552,0.0013384949,0.0014984987,0.0005846443],"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":[0.00024075405,0.00023154591,0.0054688766,0.00020035841,0.00009001703,0.0009457092,0.0005976303,0.7976445,0.0035233365,0.17560713,0.002880858,0.012569217],"study_design_scores_gemma":[0.000033212415,0.00006376774,0.00062728627,0.000009591647,0.000036043482,0.000042048658,0.00007089755,0.98680973,0.00022104844,0.011311638,0.0007555186,0.000019244282],"about_ca_topic_score_codex":0.010782727,"about_ca_topic_score_gemma":0.005089703,"teacher_disagreement_score":0.010782727,"about_ca_system_score_codex":0.0013255917,"about_ca_system_score_gemma":0.001241371,"threshold_uncertainty_score":0.023969173},"labels":[],"label_agreement":null},{"id":"W4297105714","doi":"10.3934/mbe.2022658","title":"Thermal boundary layer analysis of MHD nanofluids across a thin needle using non-linear thermal radiation","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Nanofluid; Eckert number; Prandtl number; Magnetohydrodynamics; Thermal conductivity; Boundary layer; Mechanics; Hartmann number; Laminar flow; Thermal radiation; Thermodynamics; Materials science; Viscosity; Physics; Heat transfer; Magnetohydrodynamic drive; Magnetic field; Nusselt number; Reynolds number; Turbulence","score_opus":0.017210064461423386,"score_gpt":0.253436949593331,"score_spread":0.23622688513190762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297105714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7360355,0.0012450817,0.25707877,0.00023851731,0.0000551691,0.00008980571,0.00008204289,0.00018028458,0.004994686],"genre_scores_gemma":[0.9833687,0.00033038025,0.014630994,0.000018987517,0.00000956244,0.00003822445,0.000037204623,0.000017774699,0.0015480822],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999925,0.000014081734,0.00000565827,0.000013229422,0.000029241739,0.000012844916],"domain_scores_gemma":[0.9998534,0.00006462732,0.00003452353,0.000008319576,0.000029619629,0.000009413013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023362674,0.00032545443,0.00031828132,0.0003034602,0.00024660735,0.0004355359,0.00032984535,0.00053890963,0.00038469196],"category_scores_gemma":[0.00053411117,0.00015172803,0.00049180206,0.00013222883,0.000506367,0.00046784038,0.00039672438,0.00025795773,0.000071359245],"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":[0.00013832499,0.000067427456,0.0030595066,0.00033435324,0.000045664357,0.0004537602,0.0003217737,0.6112281,0.363188,0.009397921,0.00014931726,0.01161586],"study_design_scores_gemma":[0.000008632151,0.000040410858,0.0007289089,0.00000627979,0.0000068146583,0.000029517152,0.000029409337,0.9872891,0.011081507,0.0004987715,0.0002721976,0.000008581948],"about_ca_topic_score_codex":0.0029722024,"about_ca_topic_score_gemma":0.0010830784,"teacher_disagreement_score":0.0029722024,"about_ca_system_score_codex":0.0003748778,"about_ca_system_score_gemma":0.00035750517,"threshold_uncertainty_score":0.00590986},"labels":[],"label_agreement":null},{"id":"W4308717692","doi":"10.3934/mbe.2023074","title":"Ultrasound carotid plaque segmentation via image reconstruction-based self-supervised learning with limited training labels","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Segmentation; Artificial intelligence; Pattern recognition (psychology); Deep learning; Computer science; Similarity (geometry); Ultrasound; Computer vision; Image (mathematics); Medicine; Radiology","score_opus":0.00844029282210204,"score_gpt":0.20700911777938377,"score_spread":0.19856882495728173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308717692","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18611091,0.0005540527,0.80396855,0.0003159507,0.00006086268,0.00021653822,0.00024193081,0.0065246606,0.0020065666],"genre_scores_gemma":[0.6868964,0.00023695627,0.30680293,0.0003754794,0.00006358498,0.00032156362,0.0013828188,0.00025714553,0.0036631147],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907696,0.00022583033,0.00005667963,0.00036748213,0.00019031751,0.00008269954],"domain_scores_gemma":[0.9982956,0.00061201025,0.0002511194,0.00029755343,0.00047807625,0.00006565438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022805398,0.0010710118,0.0011319973,0.0009282274,0.0003913424,0.00066481694,0.0016930478,0.0012883455,0.0009196295],"category_scores_gemma":[0.003935953,0.0006571787,0.0010089446,0.0005687642,0.0007057139,0.0008740924,0.000939549,0.0010902253,0.0007306026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00097567064,0.00067763304,0.009691749,0.00024182083,0.000328972,0.0003003244,0.00037616244,0.30489346,0.032596182,0.0020281202,0.005839643,0.6420504],"study_design_scores_gemma":[0.000018322284,0.00008139748,0.00072853983,0.0000066583007,0.000017673163,0.000049751394,0.0000107646765,0.9928929,0.00522261,0.0007259345,0.00023652203,0.0000088517245],"about_ca_topic_score_codex":0.0038312075,"about_ca_topic_score_gemma":0.005992488,"teacher_disagreement_score":0.0038312075,"about_ca_system_score_codex":0.00078730314,"about_ca_system_score_gemma":0.0013233318,"threshold_uncertainty_score":0.012060761},"labels":[],"label_agreement":null},{"id":"W4312527298","doi":"10.3934/mbe.2023151","title":"Applying machine learning techniques to detect the deployment of spatial working memory from the spiking activity of MT neurons","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Eye Institute","keywords":"Support vector machine; Computer science; Artificial intelligence; Pattern recognition (psychology); Working memory; Particle swarm optimization; Machine learning; Neuroscience; Psychology; Cognition","score_opus":0.027831961775544572,"score_gpt":0.24932060008613324,"score_spread":0.22148863831058868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312527298","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44660282,0.0008286816,0.5494053,0.00013211458,0.000069676345,0.000077322286,0.00020653696,0.0009222772,0.0017552769],"genre_scores_gemma":[0.8846878,0.00029423094,0.11426064,0.000027014612,0.00001764502,0.000060140024,0.00013718444,0.00001728292,0.0004980729],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99981505,0.000036120597,0.000022302758,0.000045778695,0.000059928934,0.000020863888],"domain_scores_gemma":[0.99937135,0.00029891302,0.00014318689,0.00004746277,0.000120141114,0.000018995566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006573757,0.00046257424,0.000455655,0.001135761,0.00014834074,0.0004510474,0.00032297953,0.00045102095,0.00048145046],"category_scores_gemma":[0.002439775,0.00013543165,0.00035931368,0.0008748952,0.00022404308,0.00054853153,0.00022918679,0.00034006734,0.00023448568],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003762942,0.00023615354,0.03158137,0.0002631321,0.0002330891,0.00030793872,0.00018837611,0.08113179,0.101240024,0.0014157848,0.00091143005,0.7821146],"study_design_scores_gemma":[0.000011602333,0.00015976206,0.024387917,0.000025793684,0.000038800456,0.000326868,0.00006767951,0.94902396,0.023557475,0.0018804988,0.00049343664,0.000026137957],"about_ca_topic_score_codex":0.000667889,"about_ca_topic_score_gemma":0.00080780144,"teacher_disagreement_score":0.001135761,"about_ca_system_score_codex":0.00019439361,"about_ca_system_score_gemma":0.00022490347,"threshold_uncertainty_score":0.0034766197},"labels":[],"label_agreement":null},{"id":"W4312969233","doi":"10.3934/mbe.2023216","title":"Estimating the time-dependent effective reproduction number and vaccination rate for COVID-19 in the USA and India","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Vaccination; Coronavirus disease 2019 (COVID-19); Demography; Basic reproduction number; Reproduction; Pandemic; Epidemic model; Medicine; Statistics; Mathematics; Biology; Virology; Environmental health; Infectious disease (medical specialty); Population; Internal medicine","score_opus":0.0759979788212055,"score_gpt":0.37911927054543887,"score_spread":0.30312129172423335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312969233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98040533,0.0002925523,0.013324662,0.0003056594,0.000024156383,0.000023887864,0.002806035,0.00013658206,0.00268107],"genre_scores_gemma":[0.99191076,0.00019165271,0.0042955303,0.0000491497,0.0000099566505,0.00002030492,0.0028830012,0.000010373282,0.0006292995],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997539,0.000057689063,0.000017893135,0.00007266914,0.000038791524,0.000059084217],"domain_scores_gemma":[0.9989453,0.00049860356,0.0002273544,0.000077530545,0.0002022429,0.000049058857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006912809,0.0002816745,0.0002777586,0.0007334813,0.00014445024,0.00053869653,0.0006116608,0.00042118243,0.00046310763],"category_scores_gemma":[0.0027750717,0.00021668615,0.0006567229,0.0006632152,0.00017202152,0.0005131072,0.00040853862,0.0005227191,0.00019146946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017205716,0.000081421604,0.54495716,0.00012291237,0.00021744278,0.00033661918,0.00022421595,0.42367157,0.0026038766,0.0028112885,0.0034769103,0.021324553],"study_design_scores_gemma":[0.000015633226,0.00006246728,0.21568449,0.000044275916,0.0001269282,0.0001412446,0.00039613596,0.77799505,0.002248167,0.0009483456,0.0022689416,0.00006832429],"about_ca_topic_score_codex":0.08296111,"about_ca_topic_score_gemma":0.05197774,"teacher_disagreement_score":0.08296111,"about_ca_system_score_codex":0.0005522402,"about_ca_system_score_gemma":0.0009117155,"threshold_uncertainty_score":0.16495645},"labels":[],"label_agreement":null},{"id":"W4313068060","doi":"10.3934/mbe.2023176","title":"Higuchi fractal dimension is a unique indicator of working memory content represented in spiking activity of visual neurons in extrastriate cortex","year":2022,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Eye Institute","keywords":"Extrastriate cortex; Neuroscience; Visual cortex; Fractal dimension; Dimension (graph theory); Content (measure theory); Psychology; Cortex (anatomy); Fractal; Mathematics; Mathematical analysis; Combinatorics","score_opus":0.04528642637097699,"score_gpt":0.26132888577300717,"score_spread":0.21604245940203018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313068060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9547445,0.0009522432,0.042241357,0.00008941339,0.000026097026,0.000010166704,0.00018282511,0.00012188329,0.0016315861],"genre_scores_gemma":[0.996552,0.00014984202,0.0030293958,0.000009186178,0.000013396182,0.00000595963,0.00005370592,0.000007200968,0.00017939009],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999378,0.000010410698,0.000005753475,0.000018321964,0.000017411343,0.000010365939],"domain_scores_gemma":[0.9994524,0.00019871097,0.00017460652,0.000060853676,0.0000734721,0.000039845152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022120032,0.00018998206,0.00023569068,0.0009301977,0.00017334385,0.00038715694,0.0001526124,0.00024129053,0.00030008118],"category_scores_gemma":[0.0010563638,0.00008912358,0.00024720223,0.0003830927,0.00045917567,0.00045590353,0.00022420015,0.00023341765,0.0000551463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005150894,0.00013225463,0.13966742,0.0004128945,0.0003575912,0.0008679573,0.0013587518,0.028164351,0.60629237,0.023857778,0.0020894376,0.19628407],"study_design_scores_gemma":[0.000026080295,0.00030132607,0.69522667,0.000043999527,0.00012498011,0.0018700815,0.00035070386,0.20348878,0.051665224,0.044176415,0.0025226378,0.00020303733],"about_ca_topic_score_codex":0.0003670214,"about_ca_topic_score_gemma":0.0002725371,"teacher_disagreement_score":0.0009301977,"about_ca_system_score_codex":0.00020605554,"about_ca_system_score_gemma":0.00009160627,"threshold_uncertainty_score":0.0014950037},"labels":[],"label_agreement":null},{"id":"W4313490645","doi":"10.3934/mbe.2023223","title":"Effects of vaccination on mitigating COVID-19 outbreaks: a conceptual modeling approach","year":2023,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Vaccination; Basic reproduction number; Outbreak; Pandemic; Epidemic model; Homogeneous; Coronavirus disease 2019 (COVID-19); Ordinary differential equation; Demography; Population; Transmission (telecommunications); Birth–death process; Mathematics; Computer science; Disease; Medicine; Differential equation; Virology; Sociology; Infectious disease (medical specialty); Combinatorics; Mathematical analysis","score_opus":0.18403936540050708,"score_gpt":0.38772891117502406,"score_spread":0.20368954577451698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313490645","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14147773,0.0015104507,0.7933391,0.0052635735,0.00016793689,0.00020761933,0.0003595962,0.0002014468,0.05747252],"genre_scores_gemma":[0.95151114,0.0015362996,0.037815318,0.0003158332,0.00006909824,0.0002599212,0.00007587004,0.000026171469,0.008390331],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997253,0.0001415984,0.000011816945,0.000044837117,0.00003651742,0.00004002538],"domain_scores_gemma":[0.9994898,0.00030795168,0.00007303474,0.000025620957,0.00007100784,0.0000325955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000748536,0.0005742079,0.0004589759,0.0006472492,0.00032515952,0.0012770254,0.001307378,0.001475749,0.004289173],"category_scores_gemma":[0.0014658079,0.00026774383,0.0009221573,0.00039530883,0.00081817014,0.0015682082,0.0012861945,0.0007932811,0.00025665847],"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":[0.0000614295,0.000172629,0.0017775096,0.00017723265,0.000077893805,0.0003316358,0.000250411,0.57856745,0.0047261682,0.40288895,0.0008959403,0.010072794],"study_design_scores_gemma":[0.000017320699,0.00013062093,0.00046124242,0.0000451929,0.0000579303,0.00006005048,0.00013853118,0.9455426,0.00058045966,0.04979959,0.0031482377,0.000018153478],"about_ca_topic_score_codex":0.0036623061,"about_ca_topic_score_gemma":0.0020177998,"teacher_disagreement_score":0.004289173,"about_ca_system_score_codex":0.001024935,"about_ca_system_score_gemma":0.0013705016,"threshold_uncertainty_score":0.014348745},"labels":[],"label_agreement":null},{"id":"W4313891994","doi":"10.3934/mbe.2023239","title":"An optimal control problem without control costs","year":2023,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Bellman equation; Optimal control; Differential equation; Dynamic programming; Mathematics; Partial differential equation; Function (biology); First-order partial differential equation; Value (mathematics); Applied mathematics; Mathematical optimization; Boundary value problem; Differential (mechanical device); Order (exchange); Similarity (geometry); Diffusion equation; Control (management); Computer science; Mathematical analysis; Statistics; Physics","score_opus":0.014190280768932863,"score_gpt":0.2233223020679472,"score_spread":0.20913202129901434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313891994","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13195683,0.0027513695,0.8098395,0.00693378,0.00034927035,0.00033924577,0.0006650198,0.00021945235,0.04694557],"genre_scores_gemma":[0.8920761,0.0009666567,0.072806135,0.00049600605,0.00022781195,0.00069746823,0.0003824669,0.00010796641,0.032239348],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99873775,0.00045884194,0.00005516994,0.00042573057,0.0001577583,0.00016475651],"domain_scores_gemma":[0.9967043,0.0025110699,0.0002579422,0.000080153135,0.000249466,0.00019707771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002421257,0.0015385814,0.0022734164,0.0011381969,0.0008500933,0.0025789042,0.0014657562,0.004509262,0.00540448],"category_scores_gemma":[0.0067933416,0.0009519531,0.0011219382,0.00091843115,0.0030521862,0.0023175373,0.0021365972,0.0022577173,0.0002974728],"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":[0.00015018377,0.00009527943,0.00042328326,0.0002114195,0.00007409783,0.00020271647,0.00012325267,0.8444617,0.0014315263,0.1444118,0.001170356,0.007244462],"study_design_scores_gemma":[0.00008732809,0.000098252945,0.00022812623,0.000027170778,0.000025935835,0.000025957117,0.000034933146,0.94511944,0.00038045,0.052713,0.0012330577,0.000026395897],"about_ca_topic_score_codex":0.012761543,"about_ca_topic_score_gemma":0.0045852433,"teacher_disagreement_score":0.012761543,"about_ca_system_score_codex":0.0033312852,"about_ca_system_score_gemma":0.002984168,"threshold_uncertainty_score":0.025374532},"labels":[],"label_agreement":null},{"id":"W4315701374","doi":"10.3934/mbe.2023249","title":"A generalized distributed delay model of COVID-19: An endemic model with immunity waning","year":2023,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of British Columbia","funders":"","keywords":"Immunity; Pandemic; Coronavirus disease 2019 (COVID-19); Population; Epidemic model; Virology; Ode; Disease; Infectious disease (medical specialty); Immunology; Biology; Medicine; Mathematics; Immune system; Applied mathematics; Environmental health; Internal medicine","score_opus":0.23790705930155684,"score_gpt":0.39240582316751094,"score_spread":0.1544987638659541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315701374","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24890581,0.0013499103,0.7137775,0.0024004823,0.00034282,0.00015195711,0.0008587837,0.0003174998,0.03189522],"genre_scores_gemma":[0.9662457,0.00068119925,0.011190487,0.00017840715,0.000072289185,0.00013223557,0.0001974352,0.000032859425,0.021269297],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968743,0.00007115883,0.000017438006,0.000103866696,0.000055132525,0.00006493387],"domain_scores_gemma":[0.99943095,0.00019934635,0.00016140759,0.000021412385,0.0001277397,0.00005911241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049991085,0.00083169184,0.0008901284,0.0006670274,0.00050629437,0.0012222328,0.0013561617,0.0020231255,0.0026908463],"category_scores_gemma":[0.0014932937,0.00037479543,0.001126583,0.000473233,0.0010893065,0.0012745308,0.0012203796,0.0011841226,0.00034558348],"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":[0.0000695743,0.000050214152,0.0015845953,0.000110488145,0.000055342338,0.0005149987,0.00017828662,0.9181463,0.005709316,0.069540545,0.00074646465,0.0032938013],"study_design_scores_gemma":[0.00001794088,0.000030315412,0.00020200151,0.0000068484446,0.000018476136,0.0000478795,0.000023974857,0.992396,0.00019346646,0.006352781,0.00069702516,0.000013368894],"about_ca_topic_score_codex":0.013094488,"about_ca_topic_score_gemma":0.005422076,"teacher_disagreement_score":0.013094488,"about_ca_system_score_codex":0.0012776563,"about_ca_system_score_gemma":0.0012200391,"threshold_uncertainty_score":0.02603656},"labels":[],"label_agreement":null},{"id":"W4316037635","doi":"10.3934/mbe.2023252","title":"Investigation of the evolution of tumor-induced microvascular network under the inhibitory effect of anti-angiogenic factor, angiostatin: A mathematical study","year":2023,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research","keywords":"Angiostatin; Angiogenesis; Neovascularization; Function (biology); Cancer research; Biology; Cell biology","score_opus":0.025373459326712918,"score_gpt":0.2577589544398209,"score_spread":0.23238549511310796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316037635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6976219,0.002079567,0.28807607,0.00095480855,0.00006644804,0.00004783325,0.00015990528,0.000101661855,0.010891841],"genre_scores_gemma":[0.9790445,0.0010134027,0.014446719,0.000060651266,0.00003918443,0.000060708608,0.000066568566,0.000027818904,0.0052404297],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999192,0.000025658108,0.0000031925683,0.000018031778,0.000016402937,0.000017514207],"domain_scores_gemma":[0.9996251,0.00014531091,0.00013954796,0.000015645459,0.000039613395,0.000034775847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026045027,0.0003773351,0.00036466672,0.0005163148,0.0002976359,0.00047137606,0.000484561,0.0006852716,0.00075808103],"category_scores_gemma":[0.0008740704,0.00021797462,0.00069567945,0.00023526522,0.00073489384,0.0007534071,0.00047007302,0.00041499757,0.000067976594],"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":[0.00004386858,0.00005783003,0.0019796751,0.00011228769,0.000045368506,0.0003016264,0.000075975404,0.8949507,0.029688422,0.06953944,0.00031078525,0.0028939792],"study_design_scores_gemma":[0.000004019244,0.000024402056,0.00041590095,0.0000025794645,0.000008741909,0.000036013415,0.000008214221,0.9962865,0.0006568173,0.0023435964,0.00020898925,0.000004250783],"about_ca_topic_score_codex":0.0030856263,"about_ca_topic_score_gemma":0.0013343284,"teacher_disagreement_score":0.0030856263,"about_ca_system_score_codex":0.0008480602,"about_ca_system_score_gemma":0.0005116811,"threshold_uncertainty_score":0.0061531067},"labels":[],"label_agreement":null},{"id":"W4319869504","doi":"10.3934/mbe.2023310","title":"Patch model for border reopening and control to prevent new outbreaks of COVID-19","year":2023,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Outbreak; Basic reproduction number; Transmission (telecommunications); Control (management); Boundary (topology); Epidemic model; Computer science; Mathematics; Biology; Virology; Telecommunications; Environmental health; Medicine; Mathematical analysis; Artificial intelligence","score_opus":0.18848027992297237,"score_gpt":0.4331722868787038,"score_spread":0.24469200695573143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319869504","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3698101,0.0023787238,0.58904546,0.0029871815,0.00067185215,0.00024148324,0.00092521793,0.00056739856,0.033372495],"genre_scores_gemma":[0.96939397,0.0006149171,0.013474381,0.00018122098,0.00009800913,0.00019398,0.00017845735,0.00004434908,0.015820755],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996118,0.000097860255,0.000017717726,0.00014431958,0.00003918749,0.0000890767],"domain_scores_gemma":[0.999423,0.00020290849,0.00013864845,0.00003792911,0.0000863188,0.000111062174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041807792,0.00085105735,0.0013195204,0.0006237381,0.00069325784,0.0013982974,0.002661834,0.0021335038,0.007406294],"category_scores_gemma":[0.0015350605,0.0004758178,0.0015503118,0.00035384687,0.0011300693,0.0018812107,0.0013172069,0.0015340077,0.00054993085],"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":[0.0002131059,0.00014872961,0.0039109564,0.00015227581,0.00014408743,0.0006936026,0.00021422088,0.9112042,0.004704624,0.07061247,0.0021868022,0.005814859],"study_design_scores_gemma":[0.00006100973,0.0001053831,0.0007186815,0.000010506986,0.000065992106,0.000086285836,0.000059170965,0.98935425,0.00017028312,0.008327178,0.001021221,0.0000200724],"about_ca_topic_score_codex":0.013265821,"about_ca_topic_score_gemma":0.0049597807,"teacher_disagreement_score":0.013265821,"about_ca_system_score_codex":0.0010057933,"about_ca_system_score_gemma":0.0008990505,"threshold_uncertainty_score":0.026377201},"labels":[],"label_agreement":null},{"id":"W4321123803","doi":"10.3934/mbe.2023323","title":"A method for demand-accurate one-dimensional cutting problems with pattern reduction","year":2023,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Benchmark (surveying); Reduction (mathematics); Computer science; Mathematical optimization; Focus (optics); Variable (mathematics); Software; Integer (computer science); Constant (computer programming); Mathematics","score_opus":0.026678454616831854,"score_gpt":0.2563763116623132,"score_spread":0.22969785704548137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321123803","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016439358,0.00014642644,0.99574214,0.00006434851,0.000051086772,0.000060858558,0.000040905248,0.0003272275,0.0019230255],"genre_scores_gemma":[0.041020654,0.00030123882,0.9544786,0.000085464126,0.000057445246,0.00033901702,0.00026898342,0.00025073113,0.0031978267],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994537,0.000096299824,0.000031408857,0.00008457688,0.00029096645,0.000042953998],"domain_scores_gemma":[0.9994929,0.00023129764,0.000044354034,0.000087835484,0.00011932566,0.000024394081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052850985,0.0010564432,0.00097362767,0.0012539995,0.00046147406,0.00077270204,0.0016106601,0.0008293857,0.004970016],"category_scores_gemma":[0.001680749,0.0006115481,0.0016046964,0.0016101343,0.00045254483,0.000998942,0.0012309777,0.0019090218,0.0013207807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008530689,0.00019719715,0.00049209036,0.0005081653,0.000086225584,0.00018289975,0.000116546995,0.44371873,0.01411346,0.04026021,0.010130447,0.4901086],"study_design_scores_gemma":[0.000030015568,0.00005616718,0.00012665258,0.000023906363,0.000019325264,0.00012601572,0.000017930857,0.9752807,0.0024363084,0.013264997,0.008604613,0.000013456566],"about_ca_topic_score_codex":0.0019930843,"about_ca_topic_score_gemma":0.0022286621,"teacher_disagreement_score":0.004970016,"about_ca_system_score_codex":0.00047381595,"about_ca_system_score_gemma":0.001142474,"threshold_uncertainty_score":0.016626358},"labels":[],"label_agreement":null},{"id":"W4321366629","doi":"10.3934/mbe.2023332","title":"Modeling the impact of public health education on tungiasis dynamics with saturated treatment: Insight through the Caputo fractional derivative","year":2023,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Viral Infections and Vectors","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Basic reproduction number; Public health; Population; Fractional calculus; Susceptible individual; Disease; Mathematics; Medicine; Health education; Environmental health; Applied mathematics; Pathology","score_opus":0.0656705260528704,"score_gpt":0.34483231137041453,"score_spread":0.27916178531754415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321366629","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39056697,0.0016700586,0.55703306,0.003528168,0.00025034102,0.00012302706,0.0004076786,0.00019176134,0.046228886],"genre_scores_gemma":[0.9788912,0.0004888955,0.008015577,0.00016437219,0.000041663094,0.00007860615,0.00005588121,0.000022123728,0.0122417575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979347,0.00007111902,0.000007197063,0.00003258464,0.00003352147,0.000062194245],"domain_scores_gemma":[0.9994948,0.0002865937,0.00009365666,0.000019703526,0.00005696866,0.000048298483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005440553,0.0005789823,0.0007820029,0.0005422736,0.00059740164,0.0011333039,0.00085262023,0.0018010408,0.0028166308],"category_scores_gemma":[0.0018731134,0.00033827746,0.0009978452,0.00041304808,0.0010692007,0.0008168226,0.0011332943,0.0009053111,0.00018659208],"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":[0.000028820274,0.000034933044,0.0018890193,0.0000416384,0.00001894895,0.00015787818,0.00011167983,0.9696069,0.00097473006,0.024065802,0.00036097236,0.002708681],"study_design_scores_gemma":[0.0000052213963,0.000017488595,0.00023917406,0.0000056054123,0.00000898265,0.000021236936,0.000031776483,0.9944507,0.000083275634,0.004724728,0.00040637163,0.0000054622788],"about_ca_topic_score_codex":0.019303396,"about_ca_topic_score_gemma":0.00712829,"teacher_disagreement_score":0.019303396,"about_ca_system_score_codex":0.0013058989,"about_ca_system_score_gemma":0.0012335964,"threshold_uncertainty_score":0.038382053},"labels":[],"label_agreement":null},{"id":"W4366811010","doi":"10.3934/mbe.2023486","title":"Dynamic behaviors of a Leslie-Gower model with strong Allee effect and fear effect in prey","year":2023,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Allee effect; Bogdanov–Takens bifurcation; Hopf bifurcation; Mathematics; Limit cycle; Bifurcation; Attractor; Heteroclinic bifurcation; Biological applications of bifurcation theory; Homoclinic bifurcation; Saddle-node bifurcation; Limit (mathematics); Degenerate energy levels; Homoclinic orbit; Pitchfork bifurcation; Applied mathematics; Mathematical analysis; Physics; Nonlinear system; Population; Demography","score_opus":0.009608374568034575,"score_gpt":0.2736364646770217,"score_spread":0.2640280901089871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366811010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92888427,0.00041340728,0.041437354,0.0016817665,0.000079754034,0.00004410081,0.0002512636,0.0001392395,0.027068933],"genre_scores_gemma":[0.9887503,0.00019265116,0.0020950544,0.00008895835,0.000019048544,0.000052047548,0.00006799943,0.000013949257,0.0087200245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989545,0.000035144574,0.0000053294875,0.00002249862,0.00001454178,0.000026988639],"domain_scores_gemma":[0.99970347,0.00007843364,0.00007715875,0.000016286527,0.00004025737,0.00008442513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028058284,0.000598846,0.00078790315,0.0005298104,0.0007681696,0.0012723433,0.001110851,0.0018771815,0.0035379988],"category_scores_gemma":[0.00077560387,0.00036733382,0.00083074294,0.00034808437,0.00094930344,0.0013685426,0.0012998099,0.000777293,0.0002786134],"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":[0.00020235892,0.00018680173,0.007615869,0.00009784187,0.00018979066,0.0013676028,0.0005061386,0.8722761,0.008152153,0.104733355,0.0016684784,0.0030034971],"study_design_scores_gemma":[0.000043076867,0.00004712709,0.00071405835,0.000008781569,0.000041362193,0.00006149533,0.000079683625,0.9894589,0.00013373033,0.009034169,0.00035482706,0.000022869224],"about_ca_topic_score_codex":0.020779943,"about_ca_topic_score_gemma":0.011699474,"teacher_disagreement_score":0.020779943,"about_ca_system_score_codex":0.0009820561,"about_ca_system_score_gemma":0.0006658394,"threshold_uncertainty_score":0.041318},"labels":[],"label_agreement":null},{"id":"W4376853053","doi":"10.3934/mbe.2023540","title":"A framework for long-lasting, slowly varying transient dynamics","year":2023,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University; Queen's University; York University","funders":"","keywords":"Transient (computer programming); Dynamics (music); Statistical physics; Mathematics; Computer science; Control theory (sociology); Mechanics; Physics; Artificial intelligence","score_opus":0.011301978567211183,"score_gpt":0.23811608102239878,"score_spread":0.2268141024551876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376853053","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018773282,0.0007950326,0.96235895,0.00065224065,0.00009594355,0.00003975663,0.00013132601,0.00020119887,0.016952235],"genre_scores_gemma":[0.8881193,0.0013279566,0.096676536,0.0002685537,0.0002401636,0.00029769962,0.00017849501,0.00013282575,0.012758503],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995158,0.00014996337,0.000029670004,0.00012677608,0.0001028217,0.00007504911],"domain_scores_gemma":[0.9983747,0.0007212908,0.00028245398,0.00021415504,0.00023843469,0.00016897847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011682237,0.00068177085,0.0005669759,0.0010763453,0.00081959035,0.0018628326,0.0014922204,0.0011509461,0.0045480975],"category_scores_gemma":[0.004077427,0.00031350585,0.00087906455,0.0006154686,0.0021592018,0.0027933444,0.0019103932,0.0021276737,0.0005404117],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000076255283,0.000010864957,0.00030463847,0.000026672958,0.000010184981,0.00012983102,0.0001592189,0.037747286,0.00089188165,0.9575853,0.00044299845,0.0026835592],"study_design_scores_gemma":[0.0000131217475,0.0000325388,0.00025202622,0.000024720051,0.00001541657,0.00011938917,0.000086144726,0.4181242,0.0002678157,0.57407707,0.0069707627,0.00001672518],"about_ca_topic_score_codex":0.0025153607,"about_ca_topic_score_gemma":0.0014590409,"teacher_disagreement_score":0.0045480975,"about_ca_system_score_codex":0.001358271,"about_ca_system_score_gemma":0.0008138306,"threshold_uncertainty_score":0.01521492},"labels":[],"label_agreement":null},{"id":"W4381249890","doi":"10.3934/mbe.2023616","title":"The effects of disease control measures on the reproduction number of COVID-19 in British Columbia, Canada","year":2023,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Reproduction; Coronavirus disease 2019 (COVID-19); Pandemic; Basic reproduction number; Transmission (telecommunications); Influenza pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Disease control; 2019-20 coronavirus outbreak; Demography; Statistics; Geography; Biology; Infectious disease (medical specialty); Disease; Mathematics; Ecology; Medicine; Computer science; Virology","score_opus":0.05733600759711574,"score_gpt":0.3216253084522685,"score_spread":0.2642893008551528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381249890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96232986,0.0015648347,0.024374379,0.0017011061,0.00005172225,0.00008162327,0.0017707684,0.00021565474,0.007909921],"genre_scores_gemma":[0.9931607,0.00027171223,0.0049449196,0.000076218515,0.000007839104,0.000018330968,0.00044741115,0.000016405766,0.0010564146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942756,0.00017119243,0.000020593649,0.00010621473,0.00015103602,0.00012336008],"domain_scores_gemma":[0.9968741,0.0016096049,0.00029896566,0.0001824171,0.0008645357,0.00017038237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020044863,0.00043699812,0.0004366227,0.0010560126,0.00078564836,0.00089427823,0.0011301129,0.0003580765,0.0008903841],"category_scores_gemma":[0.012575495,0.00020164839,0.00030843567,0.0008611562,0.00097356417,0.00036983864,0.00056975527,0.00065213774,0.00007866485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024434045,0.00005352868,0.17054851,0.00013673044,0.0001528421,0.0001680412,0.00024523947,0.7655868,0.0018414041,0.007887997,0.003435386,0.04969921],"study_design_scores_gemma":[0.000038434475,0.000038194958,0.12037611,0.00004325023,0.0000424783,0.00003290103,0.00021886454,0.8744307,0.00091155875,0.0019359993,0.0018847019,0.00004667598],"about_ca_topic_score_codex":0.95877475,"about_ca_topic_score_gemma":0.93191844,"teacher_disagreement_score":0.041225255,"about_ca_system_score_codex":0.011918233,"about_ca_system_score_gemma":0.011002072,"threshold_uncertainty_score":0.08647323},"labels":[],"label_agreement":null},{"id":"W4383422837","doi":"10.3934/mbe.2023655","title":"Scalable computational algorithms for geospatial COVID-19 spread using high performance computing","year":2023,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Numerical methods for differential equations","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ottawa Hospital; Ottawa Heart Institute; University of Ottawa; Carleton University","funders":"","keywords":"Solver; Scalability; Computer science; Multigrid method; Domain decomposition methods; Discretization; Algorithm; Domain (mathematical analysis); Partial differential equation; Nonlinear system; Mathematical optimization; Parallel computing; Applied mathematics; Computational science; Mathematics; Finite element method","score_opus":0.1266259486521409,"score_gpt":0.3847853506777518,"score_spread":0.25815940202561094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383422837","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033873267,0.0004260697,0.95860624,0.000573188,0.00007692977,0.00011973814,0.0003305551,0.001063302,0.004930605],"genre_scores_gemma":[0.42536172,0.0004034803,0.5687297,0.00012941739,0.0000815357,0.000449654,0.0007431574,0.00027406102,0.0038272454],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997042,0.0000745496,0.000017613542,0.00005432006,0.000105946754,0.00004339504],"domain_scores_gemma":[0.99907696,0.0005081119,0.000105983025,0.0000849991,0.00015668146,0.00006717086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072308374,0.0009560565,0.0008349562,0.00055353256,0.00088895025,0.0011111341,0.0015431157,0.0011589885,0.0027243658],"category_scores_gemma":[0.002232913,0.00046255285,0.0008195196,0.00091449515,0.00076182734,0.00088018767,0.0016459149,0.0012328969,0.00049635634],"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":[0.000030677038,0.000031299103,0.0010637782,0.0000491574,0.000024435767,0.00010597947,0.00005684055,0.97393507,0.0011442837,0.009073791,0.001331949,0.013152724],"study_design_scores_gemma":[0.000008006321,0.0000036015458,0.00005627913,0.000001828619,0.0000013038537,0.0000072242706,0.000009884149,0.99716586,0.00013696575,0.0022743617,0.0003324158,0.000002172842],"about_ca_topic_score_codex":0.03067609,"about_ca_topic_score_gemma":0.026146699,"teacher_disagreement_score":0.03067609,"about_ca_system_score_codex":0.0011665784,"about_ca_system_score_gemma":0.002378273,"threshold_uncertainty_score":0.060995102},"labels":[],"label_agreement":null},{"id":"W4385273333","doi":"10.3934/mbe.2023692","title":"Investigation of a nutrient-plankton model with stochastic fluctuation and impulsive control","year":2023,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Plankton; Nutrient; Environmental science; Applied mathematics; Mathematics; Econometrics; Ecology; Control theory (sociology); Biological system; Control (management); Biology; Computer science","score_opus":0.018343207718497005,"score_gpt":0.2416538975445109,"score_spread":0.22331068982601388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385273333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5572124,0.0020351203,0.41239676,0.003216589,0.0002885754,0.00008528555,0.0002995211,0.00020100863,0.024264667],"genre_scores_gemma":[0.98952127,0.00035595335,0.004108004,0.00010954608,0.00006549035,0.000049178205,0.000048466678,0.000013627139,0.0057285284],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996081,0.00011909406,0.000019412038,0.00008570116,0.00009274064,0.00007503479],"domain_scores_gemma":[0.9991423,0.00035116714,0.0002362243,0.000028413831,0.0001090312,0.00013297745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006407382,0.00079780497,0.0010700154,0.00064700504,0.0007603586,0.0010427679,0.0014126222,0.0017637393,0.0015021532],"category_scores_gemma":[0.0019825196,0.00040771262,0.0008745456,0.0004585351,0.0012696692,0.0012502333,0.001147899,0.0009315312,0.00011005274],"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":[0.000086543325,0.00007190085,0.003830386,0.00015561108,0.00012740896,0.0015242539,0.00021862982,0.85560536,0.0051864902,0.13011718,0.0006399655,0.002436349],"study_design_scores_gemma":[0.000018155846,0.000029964718,0.00041394535,0.0000050790486,0.000024070738,0.00006681351,0.000030403868,0.99117696,0.000106526844,0.0078934925,0.0002226049,0.000011947753],"about_ca_topic_score_codex":0.013104752,"about_ca_topic_score_gemma":0.0054155407,"teacher_disagreement_score":0.013104752,"about_ca_system_score_codex":0.0009360277,"about_ca_system_score_gemma":0.0010752677,"threshold_uncertainty_score":0.026056945},"labels":[],"label_agreement":null},{"id":"W4385472056","doi":"10.3934/mbe.2023703","title":"Modelling the transmission and control of COVID-19 in Yangzhou city with the implementation of Zero-COVID policy","year":2023,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Transmission (telecommunications); Outbreak; Pandemic; Duration (music); Isolation (microbiology); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Statistics; Epidemic model; Control (management); Tracking (education); Investment (military); Demography; Econometrics; Computer science; Disease; Mathematics; Environmental health; Medicine; Biology; Virology; Psychology; Political science; Telecommunications; Internal medicine; Law; Infectious disease (medical specialty)","score_opus":0.14259152869589692,"score_gpt":0.406788083866399,"score_spread":0.26419655517050206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385472056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9664265,0.00042289493,0.023980511,0.0015222257,0.000059463986,0.000055051238,0.000728993,0.0000694347,0.006735053],"genre_scores_gemma":[0.9956743,0.00018244113,0.0014923892,0.000030948762,0.00001489529,0.000033804008,0.0001597668,0.000009188316,0.0024022546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997501,0.00008056585,0.000013220474,0.000046470348,0.000017294955,0.00009242005],"domain_scores_gemma":[0.9993864,0.00027202535,0.00014628694,0.00002016444,0.00010252681,0.0000724944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063130696,0.00059759215,0.0004882493,0.0005878121,0.0004645207,0.0011802668,0.0009634844,0.0012863182,0.0026957777],"category_scores_gemma":[0.0016426188,0.00037252365,0.00075184857,0.0005149897,0.00066791987,0.0008475868,0.0010245279,0.0007552573,0.00015478225],"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":[0.00004209521,0.000042287866,0.010446174,0.000030003579,0.000025951205,0.00023225391,0.00008181846,0.97888136,0.00045540615,0.008222091,0.0004912589,0.0010492537],"study_design_scores_gemma":[0.000014117006,0.000019183699,0.0019616634,0.000005180851,0.000012551831,0.0000094349725,0.00007926225,0.9967063,0.000037516613,0.0009632661,0.0001826184,0.000008981654],"about_ca_topic_score_codex":0.13514718,"about_ca_topic_score_gemma":0.053324156,"teacher_disagreement_score":0.13514718,"about_ca_system_score_codex":0.0018864727,"about_ca_system_score_gemma":0.0018917711,"threshold_uncertainty_score":0.2687211},"labels":[],"label_agreement":null},{"id":"W4385900898","doi":"10.3934/mbe.2023711","title":"Twitter-based gender recognition using transformers","year":2023,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Global Health Research; Response Biomedical (Canada); York University","funders":"","keywords":"Transformer; Computer science; Demographics; Artificial intelligence; Encoder; Social media; Machine learning; World Wide Web; Engineering","score_opus":0.13604176979913948,"score_gpt":0.30398903951138634,"score_spread":0.16794726971224685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385900898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5796447,0.0024697443,0.23423448,0.0013249053,0.0011436265,0.00088544824,0.10107735,0.03515346,0.044066224],"genre_scores_gemma":[0.8722808,0.0009382874,0.052618805,0.00025769754,0.00014329575,0.00026807166,0.049098928,0.00028447638,0.024109714],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984133,0.000015583048,0.000008826913,0.000049576032,0.00004688155,0.000037810063],"domain_scores_gemma":[0.99985015,0.000026384561,0.000020816902,0.000018871846,0.00006778511,0.00001594619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019372988,0.0010550618,0.00037814135,0.0013565569,0.0001758879,0.00050766586,0.0005203499,0.00041471364,0.0056874705],"category_scores_gemma":[0.0007404551,0.00015442919,0.000573381,0.0005868099,0.00013697364,0.0008507298,0.00045050535,0.00028927007,0.004650078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019437695,0.0004335186,0.075314224,0.00046880843,0.00012434761,0.00072135165,0.0002595619,0.020686096,0.03955726,0.0032470701,0.07391944,0.78332466],"study_design_scores_gemma":[0.00008670671,0.0006336836,0.07925537,0.00011103831,0.000112918424,0.0012701156,0.00079396344,0.7812299,0.077049375,0.00500091,0.054344475,0.00011146898],"about_ca_topic_score_codex":0.007381479,"about_ca_topic_score_gemma":0.015597726,"teacher_disagreement_score":0.007381479,"about_ca_system_score_codex":0.00054514356,"about_ca_system_score_gemma":0.0003887856,"threshold_uncertainty_score":0.019026518},"labels":[],"label_agreement":null},{"id":"W4385991138","doi":"10.3934/mbe.2023740","title":"A mathematical model between keystone species: Bears, salmon and vegetation","year":2023,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"","keywords":"Vegetation (pathology); Extinction (optical mineralogy); Trophic level; Predation; Ecology; Ecosystem; Environmental science; Population; Abundance (ecology); Biology","score_opus":0.040860745938133484,"score_gpt":0.28545902410032176,"score_spread":0.24459827816218827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385991138","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29351693,0.0027500165,0.64594346,0.008125739,0.0004665118,0.00021567325,0.0023394874,0.00029183098,0.046350323],"genre_scores_gemma":[0.9219691,0.0018613943,0.036497597,0.0005993965,0.00028493154,0.0004653902,0.00063205033,0.000057669156,0.037632495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999585,0.00012505204,0.00002574948,0.00011347409,0.00006573799,0.00008502367],"domain_scores_gemma":[0.99892694,0.0004995229,0.00028360268,0.000038161477,0.00012930155,0.00012239059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083080074,0.000890847,0.0009204096,0.000732679,0.00088153523,0.0015351833,0.0021287927,0.0018373757,0.0059772753],"category_scores_gemma":[0.002699702,0.000469946,0.00092627003,0.0009862925,0.000954976,0.0027643326,0.0016483284,0.0014277236,0.00086660055],"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":[0.00006773992,0.00014680448,0.0049705114,0.00023760372,0.00012996783,0.0009649081,0.00044782087,0.5448645,0.002321469,0.43405792,0.0048602573,0.0069305007],"study_design_scores_gemma":[0.000056437435,0.00007944508,0.0008913908,0.000023155251,0.000061117586,0.00029839887,0.00014916409,0.9222835,0.00014216664,0.07101149,0.0049750395,0.00002874548],"about_ca_topic_score_codex":0.009988596,"about_ca_topic_score_gemma":0.006821961,"teacher_disagreement_score":0.009988596,"about_ca_system_score_codex":0.0014680849,"about_ca_system_score_gemma":0.0014702518,"threshold_uncertainty_score":0.019995987},"labels":[],"label_agreement":null},{"id":"W4386137084","doi":"10.3934/mbe.2023752","title":"Modeling and analyzing an opinion network dynamics considering the environmental factor","year":2023,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Public opinion; The Internet; Computer science; Variety (cybernetics); Data science; Opinion leadership; Opposition (politics); Public participation; Social network (sociolinguistics); Dissenting opinion; Social media; Internet privacy; World Wide Web; Artificial intelligence; Public relations; Political science; Law","score_opus":0.016501134967756046,"score_gpt":0.2507554235693395,"score_spread":0.23425428860158345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386137084","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43575364,0.0006644409,0.54753745,0.0015158841,0.00013275746,0.000106080945,0.000381185,0.0001406893,0.013767917],"genre_scores_gemma":[0.9842238,0.00038455386,0.01105759,0.000068729736,0.000053659915,0.00007502646,0.000117346965,0.000021074253,0.0039983005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973804,0.00008418235,0.000009630163,0.00006490756,0.000043119944,0.000060099563],"domain_scores_gemma":[0.99895155,0.0005977588,0.0002118082,0.00003584299,0.00014592432,0.000057128338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000758528,0.0004764911,0.0004419709,0.00069414807,0.00050355034,0.0008027393,0.00076447334,0.0011498497,0.0014469775],"category_scores_gemma":[0.0032241312,0.00023604668,0.0007487529,0.0005010651,0.0006471666,0.0013086811,0.00058102026,0.00062180933,0.00016373207],"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":[0.0000346387,0.000034040884,0.00520247,0.00005174774,0.000039904848,0.00024287806,0.00019440366,0.95271856,0.00258679,0.031168927,0.0007341463,0.0069915173],"study_design_scores_gemma":[0.0000016438928,0.000004684654,0.0002610894,0.000001356106,0.000003918115,0.000008943765,0.00001629538,0.99750817,0.000069124224,0.0019741084,0.00014792179,0.0000026960263],"about_ca_topic_score_codex":0.01368328,"about_ca_topic_score_gemma":0.005678183,"teacher_disagreement_score":0.01368328,"about_ca_system_score_codex":0.00095249753,"about_ca_system_score_gemma":0.00064907497,"threshold_uncertainty_score":0.027207315},"labels":[],"label_agreement":null},{"id":"W4389494036","doi":"10.3934/mbe.2024001","title":"Fear effect in a three-species food chain model with generalist predator","year":2023,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Generalist and specialist species; Predation; Predator; Foraging; Apex predator; Food chain; Trophic level; Ecology; Food web; Biology; Competition (biology); Ecosystem; Optimal foraging theory; Habitat","score_opus":0.021647221902819955,"score_gpt":0.24783363738986738,"score_spread":0.22618641548704743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389494036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85383743,0.0006817165,0.12476475,0.0011491055,0.00008687285,0.00006268619,0.00028343117,0.00011837511,0.019015646],"genre_scores_gemma":[0.9932024,0.00020295766,0.0022478707,0.000054845023,0.000016204182,0.000048784357,0.000041654712,0.000010252523,0.0041751475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980813,0.000057049867,0.00000917279,0.00004428099,0.000027052143,0.000054284534],"domain_scores_gemma":[0.9994116,0.0001922899,0.00016834495,0.00002240241,0.00008365667,0.00012177174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048887474,0.0007830958,0.00090949825,0.0006245328,0.0009745767,0.0013304073,0.0013505098,0.0017555302,0.0028818673],"category_scores_gemma":[0.0012409509,0.0003804472,0.0010620129,0.00041288434,0.0012033696,0.001227854,0.0015724719,0.00084555,0.00022450754],"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":[0.0001326049,0.00007844451,0.0056334618,0.000114052535,0.00013748967,0.0011656368,0.00034274382,0.93148434,0.005034939,0.052513897,0.0007466139,0.002615745],"study_design_scores_gemma":[0.000021724769,0.000057501235,0.00079192116,0.0000086168775,0.00003553122,0.000067779314,0.00008495879,0.98971283,0.0000745938,0.008917822,0.00020999847,0.000016614946],"about_ca_topic_score_codex":0.016151318,"about_ca_topic_score_gemma":0.008240761,"teacher_disagreement_score":0.016151318,"about_ca_system_score_codex":0.00091405085,"about_ca_system_score_gemma":0.00082423823,"threshold_uncertainty_score":0.032114625},"labels":[],"label_agreement":null},{"id":"W4394845607","doi":"10.3934/mbe.2024247","title":"Population mobility, well-mixed clustering and disease spread: a look at COVID-19 Spread in the United States and preventive policy insights","year":2024,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sanofi (Canada); University of Guelph","funders":"","keywords":"Population; Cluster analysis; Pandemic; Jurisdiction; Epidemiology; State (computer science); Geography; Public health; Demography; Computer science; Coronavirus disease 2019 (COVID-19); Disease; Political science; Medicine; Sociology; Artificial intelligence; Algorithm; Law","score_opus":0.08333545301743588,"score_gpt":0.37598028968009967,"score_spread":0.2926448366626638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394845607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94252986,0.0024274455,0.04192844,0.0066218995,0.000040184117,0.000022409427,0.0003266416,0.00003528024,0.0060677426],"genre_scores_gemma":[0.9947385,0.00052579766,0.004110024,0.000100682686,0.000025277912,0.00000931298,0.0000882694,0.0000048895586,0.00039727593],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997156,0.00015803041,0.000010442349,0.000045724064,0.000035347308,0.000034710538],"domain_scores_gemma":[0.9988794,0.00052729686,0.00031927574,0.00007987124,0.00012670357,0.00006748089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073158316,0.00016273609,0.0001880933,0.0013644828,0.00057767343,0.0009859214,0.00029374563,0.0004635588,0.00097649964],"category_scores_gemma":[0.0034813492,0.00011745907,0.00031834262,0.0014065211,0.0008198281,0.0010284254,0.0006466515,0.00047682648,0.000051688774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017714636,0.00016082697,0.42833754,0.00015819457,0.0002525349,0.0006332138,0.0033361185,0.18493892,0.0022726085,0.3056045,0.0077794064,0.066348985],"study_design_scores_gemma":[0.000019020725,0.00010221391,0.33790958,0.00014830877,0.000073295385,0.0003898081,0.0064163925,0.4819839,0.0005708629,0.162146,0.010183492,0.000057079946],"about_ca_topic_score_codex":0.028829738,"about_ca_topic_score_gemma":0.03654599,"teacher_disagreement_score":0.028829738,"about_ca_system_score_codex":0.0011576865,"about_ca_system_score_gemma":0.00062821404,"threshold_uncertainty_score":0.057323873},"labels":[],"label_agreement":null},{"id":"W4399607148","doi":"10.3934/mbe.2024273","title":"Analytic delay distributions for a family of gene transcription models","year":2024,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Transcription (linguistics); Gene; Genetics; Biology; Mathematics; Computational biology; Computer science","score_opus":0.015452207436859738,"score_gpt":0.23901801110295007,"score_spread":0.22356580366609033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399607148","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05690339,0.0014061525,0.92925555,0.001143032,0.00007915369,0.00008256019,0.00044378865,0.0004949385,0.010191542],"genre_scores_gemma":[0.87297446,0.0035717252,0.09678866,0.000527871,0.00029900897,0.00038502848,0.0010828209,0.00042686783,0.023943575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994173,0.00014459497,0.000023448727,0.00012702536,0.00016721227,0.00012048088],"domain_scores_gemma":[0.99589324,0.002792292,0.00045281855,0.00016571843,0.00048722408,0.00020873747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017717462,0.0012229931,0.00095296226,0.0018075402,0.0006465569,0.0017135114,0.0017112886,0.0017564252,0.0047353287],"category_scores_gemma":[0.012197074,0.00056065037,0.0014525786,0.0011927867,0.0013902521,0.0023875432,0.0010329988,0.0021980645,0.0010939487],"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":[0.00003907714,0.000026843343,0.0009597888,0.00008144872,0.000025777228,0.0002119175,0.00023972763,0.6012255,0.0025012433,0.38637373,0.002110242,0.0062046237],"study_design_scores_gemma":[0.000008684985,0.000009511457,0.00012287282,0.00001013784,0.0000057585626,0.000050227438,0.000026311385,0.91963035,0.0002076682,0.07880506,0.0011105718,0.0000128873],"about_ca_topic_score_codex":0.0059330543,"about_ca_topic_score_gemma":0.0021945366,"teacher_disagreement_score":0.0059330543,"about_ca_system_score_codex":0.0031989112,"about_ca_system_score_gemma":0.0011913923,"threshold_uncertainty_score":0.02320981},"labels":[],"label_agreement":null},{"id":"W4403305536","doi":"10.3934/mbe.2024321","title":"Modeling sub-exponential epidemic growth dynamics through unobserved individual heterogeneity: a frailty model approach","year":2024,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Actua; University of Waterloo","funders":"","keywords":"Econometrics; Dynamics (music); Exponential growth; Epidemic model; Growth model; Exponential function; Statistics; Computer science; Mathematics; Mathematical economics; Demography; Psychology; Population; Sociology","score_opus":0.3144280477536664,"score_gpt":0.3875980587564109,"score_spread":0.0731700110027445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403305536","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11854794,0.00054059684,0.87436926,0.0018205411,0.00010223814,0.00005941925,0.00038635344,0.00015216625,0.004021415],"genre_scores_gemma":[0.9477462,0.0010497213,0.04082994,0.00029426138,0.00014848029,0.00015831305,0.00027122386,0.000056466994,0.009445383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999206,0.00031655218,0.00003578752,0.00015869239,0.00010691306,0.00017605748],"domain_scores_gemma":[0.995691,0.0027651116,0.00068436255,0.00029215732,0.0002971396,0.00027022764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033958894,0.00087064743,0.0011481647,0.0011135266,0.0005112903,0.0015025852,0.0030580421,0.0017568651,0.0019445255],"category_scores_gemma":[0.008998788,0.0006528868,0.0016757724,0.0007842641,0.0012889876,0.0024475744,0.0020836776,0.0020288378,0.00030182453],"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":[0.000054532684,0.000060915143,0.0057771704,0.00004921884,0.00011948567,0.00025613554,0.00028051552,0.8706467,0.0008637245,0.11424238,0.000962248,0.0066869515],"study_design_scores_gemma":[0.000009364881,0.00001762801,0.00048640548,0.000008915254,0.000023018927,0.000032163716,0.000021933874,0.9729532,0.000059393915,0.026046287,0.00033057472,0.000011109517],"about_ca_topic_score_codex":0.014725604,"about_ca_topic_score_gemma":0.008261544,"teacher_disagreement_score":0.014725604,"about_ca_system_score_codex":0.0014355042,"about_ca_system_score_gemma":0.0015997833,"threshold_uncertainty_score":0.029279768},"labels":[],"label_agreement":null},{"id":"W4403567759","doi":"10.3934/mbe.2024323","title":"A holistic physics-informed neural network solution for precise destruction of breast tumors using focused ultrasound on a realistic breast model","year":2024,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Finite element method; Discretization; Transducer; Ultrasound; Artificial neural network; Computer science; Ultrasonic sensor; Process (computing); Breast tumor; Focused ultrasound; Biomedical engineering; Acoustics; Physics; Breast cancer; Artificial intelligence; Engineering; Mathematics; Medicine; Cancer; Mathematical analysis","score_opus":0.033780071395325253,"score_gpt":0.2624338446393399,"score_spread":0.22865377324401465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403567759","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10437648,0.0006508317,0.8788529,0.00069563393,0.00007782603,0.000066382,0.00020857081,0.00036259953,0.014708634],"genre_scores_gemma":[0.88370913,0.00054245826,0.10589586,0.00022650666,0.000038649632,0.00022600284,0.00026941745,0.00007746771,0.009014506],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999206,0.00001742161,0.0000029612086,0.000021066922,0.000024987448,0.0000129229675],"domain_scores_gemma":[0.9998617,0.00007443375,0.000016707547,0.000006637201,0.000030638606,0.000009873117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021563297,0.0005399246,0.00044312575,0.00024043028,0.00023305917,0.0004177992,0.0005529694,0.0011876278,0.0016058206],"category_scores_gemma":[0.00063206826,0.00036421593,0.0005067801,0.00021781756,0.00039491657,0.00046436238,0.0005571396,0.00064525433,0.00018276785],"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":[0.00000748346,0.000005014029,0.0001182629,0.000013607452,0.0000036335239,0.000025350913,0.000008069017,0.99630016,0.0008149761,0.00071097043,0.00007889315,0.0019136103],"study_design_scores_gemma":[0.0000011467469,0.0000033907359,0.000027086919,0.000001021846,8.5391133e-7,0.0000036282665,0.0000020054415,0.9996013,0.000075688,0.00019153074,0.00009139874,0.0000010381318],"about_ca_topic_score_codex":0.00866123,"about_ca_topic_score_gemma":0.0073237354,"teacher_disagreement_score":0.00866123,"about_ca_system_score_codex":0.0005768245,"about_ca_system_score_gemma":0.00089635234,"threshold_uncertainty_score":0.01722163},"labels":[],"label_agreement":null},{"id":"W4405484540","doi":"10.3934/mbe.2025002","title":"Probabilistic prediction intervals of short-term wind speed using selected features and time shift dependent machine learning models","year":2024,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wind Energy Institute of Canada","funders":"","keywords":"Wind speed; Probabilistic logic; Prediction interval; Daytime; Computer science; Parametric statistics; Wind power; Probabilistic forecasting; Meteorology; Machine learning; Statistics; Artificial intelligence; Mathematics; Engineering","score_opus":0.017545855552738073,"score_gpt":0.22064198329759982,"score_spread":0.20309612774486174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405484540","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14444834,0.0003331256,0.853917,0.00009958062,0.00003039477,0.000025738991,0.00014174495,0.00030587782,0.0006983019],"genre_scores_gemma":[0.9713013,0.0001601414,0.027803965,0.00001643607,0.000028133834,0.000043717762,0.00022770865,0.00001737681,0.00040109124],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999258,0.00017191164,0.000052759326,0.00022340739,0.00021256901,0.00008145599],"domain_scores_gemma":[0.99682814,0.002030373,0.00052033673,0.0001777482,0.00038550753,0.000057852412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020324925,0.0005217571,0.0005603018,0.0007427209,0.0002503187,0.0007068238,0.0009807878,0.0005623091,0.0004351408],"category_scores_gemma":[0.0076789185,0.00032206415,0.00067612244,0.0006677614,0.00036464966,0.0011196582,0.0005689049,0.00082180585,0.000102879974],"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":[0.000054587934,0.000024080191,0.0021165535,0.000024854675,0.000025506939,0.00003980445,0.000028091768,0.9738623,0.00064337725,0.002674156,0.00013622362,0.020370457],"study_design_scores_gemma":[7.654467e-7,0.000005164271,0.00030292317,0.0000010448955,0.0000022388147,0.0000028793538,0.0000011937304,0.99915874,0.00009700148,0.0004061365,0.000019897197,0.0000020179993],"about_ca_topic_score_codex":0.0059948317,"about_ca_topic_score_gemma":0.0031471173,"teacher_disagreement_score":0.0059948317,"about_ca_system_score_codex":0.00053238985,"about_ca_system_score_gemma":0.00058183237,"threshold_uncertainty_score":0.011919856},"labels":[],"label_agreement":null},{"id":"W4405759104","doi":"10.3934/mbe.2025003","title":"Mathematical modeling of microtube-driven regrowth of gliomas after local resection","year":2024,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Resection; Computer science; Medicine; Surgery","score_opus":0.02260720363673085,"score_gpt":0.2730027657547511,"score_spread":0.2503955621180202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405759104","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.350689,0.0037326496,0.5911261,0.0029929564,0.0002605372,0.00017829261,0.0010567694,0.0005022903,0.049461365],"genre_scores_gemma":[0.9492713,0.0015310483,0.016586708,0.00021074724,0.000054448563,0.00029955964,0.00026930036,0.00013580717,0.031641074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998648,0.000035410147,0.000006924244,0.000029628469,0.000032647065,0.000030537332],"domain_scores_gemma":[0.99961746,0.0001408254,0.000115781266,0.000015902087,0.000058280246,0.000051738625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038602587,0.00076284655,0.0006947983,0.0007466129,0.00043811093,0.0010048351,0.0010916584,0.0020386386,0.002043877],"category_scores_gemma":[0.0011260969,0.00045709827,0.00090679084,0.00038132333,0.0009989048,0.0008226144,0.00095794135,0.00073826814,0.00038224616],"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":[0.000034864766,0.000028946444,0.00052412343,0.000076104974,0.000020253023,0.00018386579,0.00009994093,0.955586,0.0062165563,0.03478679,0.0004992417,0.0019432985],"study_design_scores_gemma":[0.0000059388753,0.000011834406,0.00013261371,0.0000044050926,0.000004864256,0.00002566327,0.000011099513,0.9970348,0.00021738622,0.002208141,0.00033729422,0.000005924122],"about_ca_topic_score_codex":0.011032039,"about_ca_topic_score_gemma":0.004895716,"teacher_disagreement_score":0.011032039,"about_ca_system_score_codex":0.0013854166,"about_ca_system_score_gemma":0.0009293376,"threshold_uncertainty_score":0.021935642},"labels":[],"label_agreement":null},{"id":"W4406035971","doi":"10.3934/mbe.2025005","title":"Computational physics and imaging in medicine","year":2025,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","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":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Medical physics; Medical imaging; Medicine; Computer science; Radiology","score_opus":0.007463828576908736,"score_gpt":0.28968269658714557,"score_spread":0.2822188680102368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406035971","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009380935,0.10904267,0.74441946,0.04993043,0.0057831476,0.00010345572,0.00052591617,0.0005853268,0.08022873],"genre_scores_gemma":[0.4095214,0.112469405,0.3867822,0.008892121,0.012160522,0.000605233,0.0008503451,0.00063997076,0.068078764],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991726,0.00032604075,0.000049723218,0.00012243201,0.0002894705,0.00003975093],"domain_scores_gemma":[0.99735534,0.0016813412,0.00019475415,0.0003427632,0.000307859,0.00011800321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013541701,0.00057947997,0.0012310329,0.0014534483,0.00053362723,0.0036867964,0.0010663454,0.0018068607,0.0062309164],"category_scores_gemma":[0.006008418,0.00039964885,0.0005991357,0.0012239652,0.003180306,0.0026544554,0.0022203478,0.0029814355,0.0015746669],"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":[0.000010045662,0.00002124214,0.00047752695,0.00041448043,0.000038238624,0.000047534802,0.00010758707,0.0077428976,0.00060299993,0.9082866,0.014185846,0.0680651],"study_design_scores_gemma":[0.000008165961,0.000012658464,0.00043555777,0.00016990563,0.000019301318,0.00019219314,0.00006881812,0.03800471,0.0005810922,0.8750833,0.085408285,0.000016141057],"about_ca_topic_score_codex":0.001407591,"about_ca_topic_score_gemma":0.00093100686,"teacher_disagreement_score":0.0062309164,"about_ca_system_score_codex":0.0011376808,"about_ca_system_score_gemma":0.0017146546,"threshold_uncertainty_score":0.02084452},"labels":[],"label_agreement":null},{"id":"W4406068318","doi":"10.3934/mbe.2025008","title":"Traveling waves in a free boundary problem for the spread of ecosystem engineers","year":2025,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Toronto Metropolitan University; University of Ottawa","funders":"","keywords":"Boundary (topology); Ecosystem; Traveling wave; Telecommunications; Computer science; Mathematics; Biology; Ecology; Mathematical analysis","score_opus":0.015449602134991561,"score_gpt":0.26519884088771467,"score_spread":0.24974923875272312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406068318","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19167559,0.0023919563,0.7813495,0.0047072438,0.0002887218,0.00021154857,0.00023307613,0.00012476905,0.019017616],"genre_scores_gemma":[0.85451806,0.0018546348,0.11910352,0.0006173417,0.00039707386,0.000535417,0.00040805974,0.00017368558,0.02239218],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915373,0.00043942008,0.000045416564,0.00012475743,0.00010897216,0.00012767005],"domain_scores_gemma":[0.9945628,0.0041688583,0.00043702577,0.00011227968,0.0003519362,0.000367145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029472415,0.0011968958,0.0013275406,0.002067735,0.0014279017,0.0026013996,0.0018076685,0.0037560274,0.0037651043],"category_scores_gemma":[0.013103173,0.00090101524,0.0016036686,0.0007419145,0.003027701,0.003491221,0.0017319948,0.002127189,0.00029466988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022865948,0.00011581694,0.0017776077,0.00017528144,0.0001086524,0.0008066957,0.0006582963,0.3058906,0.0036094424,0.6748551,0.0030447731,0.0087290555],"study_design_scores_gemma":[0.00007444802,0.000038014576,0.0002455027,0.0000324636,0.000024095214,0.000067796296,0.000120949,0.8886418,0.00035057394,0.10940476,0.0009742048,0.000025372432],"about_ca_topic_score_codex":0.009410696,"about_ca_topic_score_gemma":0.0028033692,"teacher_disagreement_score":0.009410696,"about_ca_system_score_codex":0.0021447632,"about_ca_system_score_gemma":0.0012706049,"threshold_uncertainty_score":0.018711865},"labels":[],"label_agreement":null},{"id":"W4406676182","doi":"10.3934/mbe.2025010","title":"Dynamics of Mpox in an HIV endemic community: A mathematical modelling approach","year":2025,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Poxvirus research and outbreaks","field":"Immunology and Microbiology","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University; University of Toronto; York University","funders":"","keywords":"Basic reproduction number; Transmission (telecommunications); Population; Public health; Human immunodeficiency virus (HIV); Demography; Biology; Virology; Medicine; Sociology; Computer science","score_opus":0.027790937796801127,"score_gpt":0.27312196415056844,"score_spread":0.2453310263537673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406676182","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3983147,0.004385575,0.5282863,0.0069950917,0.00029718055,0.0002946042,0.0009613395,0.00024160526,0.060223572],"genre_scores_gemma":[0.9558286,0.0023809213,0.027139442,0.00040508408,0.00017229852,0.00035836714,0.00024189318,0.00004806684,0.013425267],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997446,0.000111657464,0.000011143083,0.00003853983,0.000034224828,0.000059952035],"domain_scores_gemma":[0.99906844,0.0005340245,0.00020446032,0.00002211596,0.00010213169,0.0000688263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060767157,0.0007642949,0.0008524931,0.0009566885,0.00085602945,0.0015673252,0.0015235535,0.0024604346,0.0029222784],"category_scores_gemma":[0.0021351755,0.00043420543,0.0013638261,0.00062851055,0.0008652045,0.001257483,0.0018836153,0.0012701288,0.0003057346],"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":[0.000028893246,0.00007467712,0.003584191,0.00010173711,0.00006922746,0.0005716961,0.00027013407,0.92746127,0.001190435,0.06271124,0.001017719,0.0029186977],"study_design_scores_gemma":[0.0000059746676,0.000016480093,0.00022455768,0.0000127912435,0.000015533746,0.00003930508,0.00006253452,0.99334913,0.000031176256,0.005658707,0.00057579624,0.000007875062],"about_ca_topic_score_codex":0.01495899,"about_ca_topic_score_gemma":0.007860198,"teacher_disagreement_score":0.01495899,"about_ca_system_score_codex":0.0013292832,"about_ca_system_score_gemma":0.0015597577,"threshold_uncertainty_score":0.02974379},"labels":[],"label_agreement":null},{"id":"W4408315742","doi":"10.3934/mbe.2025033","title":"Behaviour quantification of public health policy adoption - the case of non-pharmaceutical measures during COVID-19","year":2025,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Sanofi (Canada); University of Guelph","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Public health; Pandemic; Public health policy; Business; Health policy; Virology; Medicine; Nursing; Infectious disease (medical specialty)","score_opus":0.3261043156881166,"score_gpt":0.48458767439284084,"score_spread":0.15848335870472424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408315742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91646534,0.0009210314,0.065917015,0.0017919645,0.000020268575,0.0002005818,0.0044941823,0.00010116598,0.010088359],"genre_scores_gemma":[0.99059933,0.00020720341,0.0071730847,0.00004674237,0.0000058441474,0.000052985946,0.00075005967,0.0000052534583,0.0011595251],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984748,0.0007783558,0.000074452175,0.00027183627,0.00022319566,0.00017729426],"domain_scores_gemma":[0.9885666,0.00722183,0.002712979,0.000632345,0.00071966357,0.00014666462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035035335,0.00034115338,0.00042625985,0.000820577,0.0002994082,0.0011764085,0.00092930306,0.0006479649,0.0022221885],"category_scores_gemma":[0.015578213,0.0002456546,0.0005290756,0.001293987,0.00080550776,0.00093508064,0.0006784976,0.00069092656,0.00015402447],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002712866,0.00022171761,0.5487112,0.00043620105,0.0005076159,0.00028627177,0.0016265225,0.34865117,0.0016465981,0.055568065,0.0021610132,0.03991229],"study_design_scores_gemma":[0.00004072188,0.0003230178,0.46308744,0.00014059979,0.00018207073,0.00012238995,0.00225037,0.5013977,0.0014924724,0.021981675,0.008893044,0.0000885822],"about_ca_topic_score_codex":0.3820094,"about_ca_topic_score_gemma":0.34466505,"teacher_disagreement_score":0.3820094,"about_ca_system_score_codex":0.0063622952,"about_ca_system_score_gemma":0.0028515577,"threshold_uncertainty_score":0.7595717},"labels":[],"label_agreement":null},{"id":"W4410520839","doi":"10.3934/mbe.2025059","title":"Physics-informed neural networks for optimal vaccination plan in SIR epidemic models","year":2025,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Vaccination; Epidemic model; Artificial neural network; Computer science; Virology; Operations research; Demography; Medicine; Artificial intelligence; Mathematics; Sociology; Population","score_opus":0.024703687298314857,"score_gpt":0.2746028412469691,"score_spread":0.24989915394865425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410520839","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06797763,0.00052825385,0.9258577,0.000619812,0.000054383425,0.00003887631,0.000082482664,0.00022453765,0.004616293],"genre_scores_gemma":[0.9385905,0.00036226434,0.056223016,0.00020269085,0.000052057698,0.00014821658,0.00013622303,0.00008058088,0.004204463],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985635,0.00005415431,0.0000066685843,0.000027985781,0.000032405827,0.000022348178],"domain_scores_gemma":[0.99935085,0.0004477912,0.00008333802,0.000024819146,0.000060853003,0.000032258493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079696835,0.00062738475,0.0008646424,0.00041722806,0.00033384038,0.00057852827,0.00094185513,0.0010755566,0.0016476937],"category_scores_gemma":[0.0024906264,0.00049649854,0.00051533396,0.0002747982,0.0008683247,0.000999845,0.0009064659,0.00133969,0.00015459316],"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":[0.0000093262925,0.0000073807655,0.000115882816,0.00001257719,0.000005722477,0.000009079181,0.000008274986,0.99217355,0.00019686914,0.0052155578,0.00009477737,0.0021508925],"study_design_scores_gemma":[9.122517e-7,0.0000019444228,0.0000126017285,9.3234206e-7,7.3381364e-7,7.8018604e-7,7.7732676e-7,0.9984132,0.00002548918,0.0015158547,0.000025960351,7.8256846e-7],"about_ca_topic_score_codex":0.007475156,"about_ca_topic_score_gemma":0.006037945,"teacher_disagreement_score":0.007475156,"about_ca_system_score_codex":0.001119069,"about_ca_system_score_gemma":0.0011957632,"threshold_uncertainty_score":0.014863312},"labels":[],"label_agreement":null},{"id":"W4412636643","doi":"10.3934/mbe.2025090","title":"Targeting stem cells with oncolytic viruses: a mathematical modelling approach","year":2025,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Oncolytic virus; Computational biology; Virology; Stem cell; Biology; Computer science; Virus; Cell biology","score_opus":0.02119269978038919,"score_gpt":0.26631481989954736,"score_spread":0.24512212011915818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412636643","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07930245,0.003315612,0.8757964,0.001854998,0.0002198801,0.00014244672,0.00060943695,0.0002155709,0.038543258],"genre_scores_gemma":[0.79360807,0.005222084,0.15960096,0.0008015752,0.0003266558,0.0012165888,0.0008756778,0.00035818896,0.03799012],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979836,0.000068798,0.000010664015,0.000027505228,0.00005187493,0.00004287155],"domain_scores_gemma":[0.9992404,0.0004380696,0.00014587386,0.000026653865,0.00009914036,0.000049896276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054604013,0.0010409863,0.0009946385,0.001072952,0.0006741195,0.0013415477,0.0012098022,0.0023751063,0.0024033915],"category_scores_gemma":[0.0017029048,0.0006543919,0.001901938,0.0008774649,0.00095778296,0.000998595,0.0012666272,0.0013102669,0.00043199208],"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":[0.000011061893,0.000023289851,0.0003877077,0.000048614438,0.000020319914,0.000059788454,0.000036767808,0.9706699,0.0013871402,0.025752896,0.0003319266,0.001270455],"study_design_scores_gemma":[0.000005716963,0.0000075217613,0.0000620188,0.000008051729,0.0000074355626,0.000012844891,0.000008937681,0.99306834,0.0001355224,0.005919626,0.0007572515,0.0000067563346],"about_ca_topic_score_codex":0.011413506,"about_ca_topic_score_gemma":0.0067016315,"teacher_disagreement_score":0.011413506,"about_ca_system_score_codex":0.0014189138,"about_ca_system_score_gemma":0.0013438553,"threshold_uncertainty_score":0.02269417},"labels":[],"label_agreement":null},{"id":"W4412694339","doi":"10.3934/mbe.2025091","title":"Investigating glucose-lactate metabolism in glioblastoma multiforme via universal physics-informed neural networks","year":2025,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Glioblastoma; Artificial neural network; Carbohydrate metabolism; Medicine; Cancer research; Oncology; Internal medicine; Computer science; Artificial intelligence","score_opus":0.00506379579150523,"score_gpt":0.23608776079877225,"score_spread":0.23102396500726702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412694339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61200154,0.0006151187,0.38447475,0.00033528358,0.000027797334,0.00003884712,0.0003814718,0.0003475494,0.0017776261],"genre_scores_gemma":[0.9822635,0.00017715289,0.016761322,0.00003922346,0.000005824167,0.000030481871,0.00022510278,0.000013247838,0.00048419292],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992514,0.000019666608,0.0000034421084,0.000026277778,0.000012221782,0.000013171981],"domain_scores_gemma":[0.9998659,0.000063520856,0.00003243941,0.000011336636,0.000016373528,0.00001050393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041701295,0.0005101662,0.0003340734,0.00030684864,0.00017229156,0.0003283788,0.00056993857,0.00039206367,0.000341055],"category_scores_gemma":[0.0008879462,0.00021460046,0.0004807312,0.00031751607,0.0003666869,0.0005044333,0.0005886548,0.0004763365,0.000040136885],"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":[0.000043011903,0.000021943017,0.0026867052,0.000032654207,0.000024689014,0.000048532147,0.000016907596,0.98214424,0.0050034467,0.0017089499,0.00009372229,0.008175135],"study_design_scores_gemma":[7.223294e-7,0.000004873467,0.0002987401,8.325894e-7,0.0000023697553,0.000004139384,0.0000026046687,0.99820375,0.0006731901,0.0007713843,0.000035673802,0.0000017708139],"about_ca_topic_score_codex":0.008565305,"about_ca_topic_score_gemma":0.008916797,"teacher_disagreement_score":0.008565305,"about_ca_system_score_codex":0.0009444755,"about_ca_system_score_gemma":0.00054178486,"threshold_uncertainty_score":0.017030895},"labels":[],"label_agreement":null},{"id":"W4413991486","doi":"10.3934/mbe.2025101","title":"Forecasting infectious disease outbreak risks from vaccine sentiments on social media: A data-driven dynamical systems approach","year":2025,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Outbreak; Infectious disease (medical specialty); Social media; Disease; Data science; Computer science; Virology; Econometrics; Medicine; Economics; World Wide Web; Internal medicine","score_opus":0.23936939784609973,"score_gpt":0.3878839753027034,"score_spread":0.14851457745660368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413991486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8068963,0.000727481,0.18541479,0.0026038347,0.00013605437,0.000085012136,0.0015325325,0.0002959257,0.002308038],"genre_scores_gemma":[0.9880931,0.00017422829,0.010429158,0.00008550611,0.00006668501,0.000030180227,0.0005169002,0.000011874241,0.00059239764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978846,0.00008452053,0.000014011603,0.00006246094,0.000026011632,0.000024488625],"domain_scores_gemma":[0.9978352,0.0016121374,0.00026158828,0.00006480911,0.00016049435,0.00006585231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011937898,0.0006250458,0.0004215317,0.0010568892,0.00018455002,0.00080733467,0.00055846793,0.00079044956,0.0008595781],"category_scores_gemma":[0.0049163364,0.00034308797,0.0005169991,0.00044404183,0.0003194779,0.0010574582,0.0005141419,0.0010464321,0.00017738975],"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":[0.00015061932,0.0001836245,0.05249455,0.00009274769,0.00016386037,0.00017256293,0.00011408335,0.9038157,0.002012036,0.0056885686,0.0018701006,0.033241577],"study_design_scores_gemma":[0.0000017015508,0.0000055953797,0.0013196939,0.0000030836386,0.0000033715617,0.000003903449,0.000008107431,0.9973404,0.00009095343,0.0011520108,0.00006871283,0.0000025181753],"about_ca_topic_score_codex":0.008141234,"about_ca_topic_score_gemma":0.010647019,"teacher_disagreement_score":0.008141234,"about_ca_system_score_codex":0.0006619506,"about_ca_system_score_gemma":0.00036547086,"threshold_uncertainty_score":0.016187668},"labels":[],"label_agreement":null},{"id":"W4416784110","doi":"10.3934/mbe.2026004","title":"Behavior-induced oscillations in epidemic outbreaks with distributed memory: Beyond the linear chain trick using numerical methods","year":2025,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Kernel (algebra); Stability (learning theory); Numerical stability; Numerical analysis; Nonlinear system; Line (geometry); Dynamics (music); Kernel density estimation","score_opus":0.039083173926943326,"score_gpt":0.35797574578022084,"score_spread":0.3188925718532775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416784110","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15924458,0.0009148054,0.83358794,0.00085306447,0.00009586561,0.000083350664,0.000073601055,0.00012318383,0.005023526],"genre_scores_gemma":[0.9227489,0.0005678889,0.07194398,0.00014721203,0.00007670924,0.00020872366,0.00005832116,0.00006645359,0.004181745],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998178,0.000094154115,0.000010908093,0.000020404224,0.000032313048,0.000024466162],"domain_scores_gemma":[0.9982628,0.0011524132,0.0002635359,0.00010868888,0.00013069884,0.00008185292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010497611,0.0005228105,0.00065275806,0.0007813285,0.00041669048,0.0008757363,0.0007626049,0.0010537428,0.0013057684],"category_scores_gemma":[0.005130564,0.00028228373,0.0008862232,0.00038001474,0.0012515999,0.0011843893,0.001402246,0.0009864658,0.00012865443],"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":[0.00004019259,0.00005890128,0.0021483938,0.0000906632,0.000050971845,0.000206299,0.00017368987,0.8771054,0.0035787427,0.11030719,0.00028646426,0.005953092],"study_design_scores_gemma":[0.000005582108,0.0000053993804,0.0000606525,0.0000061796377,0.0000035591706,0.000008958342,0.0000067652077,0.9888705,0.00010678165,0.010806669,0.00011556049,0.0000033265858],"about_ca_topic_score_codex":0.0033142336,"about_ca_topic_score_gemma":0.0022328333,"teacher_disagreement_score":0.0033142336,"about_ca_system_score_codex":0.0005935656,"about_ca_system_score_gemma":0.000708233,"threshold_uncertainty_score":0.0065898895},"labels":[],"label_agreement":null}]}