{"meta":{"query_hash":"c43aef235156","filters":{"venue":"COVID"},"cohort_total":42,"direct_labels_cover":0,"predictions_cover":42,"exported":42,"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/c43aef235156","api":"https://metacan.xera.ac/api/v1/cohort?venue=COVID"},"results":[{"id":"W3179425034","doi":"10.3390/covid1010011","title":"Deactivation of SARS-CoV-2 via Shielding of Spike Glycoprotein Using Carbon Quantum Dots: Bioinformatic Perspective","year":2021,"lang":"en","type":"article","venue":"COVID","topic":"Carbon and Quantum Dots Applications","field":"Materials Science","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 Toronto","funders":"","keywords":"Docking (animal); Chemistry; Receptor; Molecular dynamics; Biophysics; Virus; Stacking; Molecule; Combinatorial chemistry; Virology; Biochemistry; Biology; Computational chemistry; Medicine; Organic chemistry","score_opus":0.056823412483853135,"score_gpt":0.32991731110701084,"score_spread":0.2730938986231577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179425034","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":[0.867923,0.010748195,0.10580622,0.0013900294,0.00012575682,0.00008832636,0.00090155023,0.00084312283,0.01217386],"genre_scores_gemma":[0.9659697,0.0032036416,0.028825222,0.00010242242,0.000008255282,0.000041769898,0.00042160437,0.00004132458,0.0013860819],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99995935,0.000008643759,0.0000017252963,0.000011040406,0.000012380763,0.0000068959025],"domain_scores_gemma":[0.9999713,0.000011530091,0.000004517583,0.0000029256214,0.000006675536,0.0000030226934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001396386,0.00022069702,0.00020781791,0.00012385314,0.00015767934,0.00032095853,0.00022823473,0.00038081003,0.0008398624],"category_scores_gemma":[0.0001463354,0.00006788668,0.00022873162,0.00014846229,0.00015548356,0.00031975578,0.00013123149,0.00028877406,0.00011255466],"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":[0.00021578417,0.00013576566,0.0027601046,0.0008387832,0.000060452487,0.00028919397,0.00007694315,0.09590509,0.82206696,0.018046102,0.0016384119,0.05796633],"study_design_scores_gemma":[0.000042215655,0.00041196676,0.0035123783,0.000053706746,0.00006801638,0.00024764537,0.00012407907,0.5275474,0.4430475,0.0062426026,0.018653678,0.000048824546],"about_ca_topic_score_codex":0.0011932151,"about_ca_topic_score_gemma":0.0013245158,"teacher_disagreement_score":0.0011932151,"about_ca_system_score_codex":0.00047215316,"about_ca_system_score_gemma":0.00020516665,"threshold_uncertainty_score":0.003425777},"labels":[],"label_agreement":null},{"id":"W3184667874","doi":"10.3390/covid1010014","title":"Disorder in ADHD and ASD Post-COVID-19","year":2021,"lang":"en","type":"article","venue":"COVID","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Social distance; Psychology; Autism spectrum disorder; Meaning (existential); Socialization; Pandemic; Distancing; Coronavirus disease 2019 (COVID-19); Affect (linguistics); Attention deficit hyperactivity disorder; Developmental psychology; Psychiatry; Psychotherapist; Medicine; Autism; Communication; Disease","score_opus":0.05560129481847292,"score_gpt":0.3565507038451527,"score_spread":0.30094940902667977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184667874","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":[0.95917743,0.0051647006,0.00022149607,0.0058078617,0.0003226202,0.000092327304,0.0004839949,0.00002612136,0.028703319],"genre_scores_gemma":[0.99094725,0.0034351558,0.00054567365,0.00079390116,0.000119512566,0.00006639701,0.0004900826,0.0000069834527,0.0035950546],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953866,0.000078007186,0.000045805606,0.000079838486,0.00014582642,0.00011196393],"domain_scores_gemma":[0.9987639,0.00016673873,0.00056037295,0.000030379544,0.00022501971,0.00025350996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005440263,0.00013163089,0.0002536432,0.0008823979,0.0013229658,0.00073055626,0.0003384068,0.00063578115,0.002448202],"category_scores_gemma":[0.0032303727,0.000105590945,0.00028736732,0.00048715447,0.00067841157,0.0006314998,0.0009864301,0.0009442964,0.00021613728],"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":[0.00020824929,0.00041812728,0.8856768,0.00033452958,0.000056253666,0.009681671,0.0064859744,0.000074149546,0.0015735995,0.0023183804,0.0054374337,0.0877349],"study_design_scores_gemma":[0.000012808434,0.00022057064,0.97512335,0.00032673703,0.000032980988,0.010426425,0.006704768,0.000046683515,0.00021421687,0.0010091591,0.005870709,0.000011540884],"about_ca_topic_score_codex":0.028131578,"about_ca_topic_score_gemma":0.073123425,"teacher_disagreement_score":0.028131578,"about_ca_system_score_codex":0.0018588877,"about_ca_system_score_gemma":0.001670631,"threshold_uncertainty_score":0.05593568},"labels":[],"label_agreement":null},{"id":"W3201066509","doi":"10.3390/covid1010034","title":"Detecting Coronavirus from Chest X-rays Using Transfer Learning","year":2021,"lang":"en","type":"article","venue":"COVID","topic":"COVID-19 diagnosis using AI","field":"Medicine","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":"Ontario Tech University","funders":"","keywords":"Deep learning; Artificial intelligence; Coronavirus disease 2019 (COVID-19); Transfer of learning; Radiography; Computer science; Set (abstract data type); Convolutional neural network; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Machine learning; Pattern recognition (psychology); Medicine; Radiology; Disease; Pathology","score_opus":0.09739768906885071,"score_gpt":0.35477246965873654,"score_spread":0.25737478058988583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201066509","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":[0.52760255,0.0049046907,0.4527709,0.0013299728,0.00036249953,0.0003410708,0.0017634908,0.0060470826,0.0048777224],"genre_scores_gemma":[0.91567355,0.001317537,0.07480083,0.0005274988,0.00017387731,0.00013401607,0.0039074766,0.00006732276,0.0033979013],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9996119,0.00004742184,0.000028445875,0.00013783267,0.000103653234,0.00007072413],"domain_scores_gemma":[0.9995332,0.00014830464,0.00007059296,0.000053057112,0.00014987549,0.000045025336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005847174,0.0011855051,0.0007474127,0.0014965251,0.00027442092,0.00075862225,0.0014068325,0.0011727404,0.0009860665],"category_scores_gemma":[0.0017171614,0.0003147805,0.00090668496,0.0008140005,0.0003740065,0.0011639411,0.0009469177,0.0011741711,0.0006446958],"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":[0.00053845806,0.00081150816,0.035256337,0.00025889045,0.00022003664,0.0006954068,0.00012811192,0.19703893,0.033795685,0.001066024,0.010439328,0.7197513],"study_design_scores_gemma":[0.000014607905,0.00011532228,0.00403025,0.000023265267,0.00002889622,0.00016709972,0.000038319406,0.9866899,0.006641445,0.0013048548,0.00093041686,0.00001551688],"about_ca_topic_score_codex":0.0053214147,"about_ca_topic_score_gemma":0.004842773,"teacher_disagreement_score":0.0053214147,"about_ca_system_score_codex":0.0007694524,"about_ca_system_score_gemma":0.00066040026,"threshold_uncertainty_score":0.010580897},"labels":[],"label_agreement":null},{"id":"W3206222850","doi":"10.3390/covid1020041","title":"Barrier Gesture Relaxation during Vaccination Campaign in France: Modelling Impact of Waning Immunity","year":2021,"lang":"en","type":"article","venue":"COVID","topic":"COVID-19 epidemiological studies","field":"Mathematics","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":"York University","funders":"","keywords":"Vaccination; Gesture; Government (linguistics); Immunity; Distancing; Psychological intervention; Social distance; Public health; Transmissibility (structural dynamics); Medicine; Immunology; Environmental health; Coronavirus disease 2019 (COVID-19); Computer science; Disease; Immune system; Nursing; Artificial intelligence; Pathology; Infectious disease (medical specialty)","score_opus":0.1427213346208842,"score_gpt":0.4095356719594484,"score_spread":0.2668143373385642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206222850","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":[0.92186254,0.0026199066,0.050180208,0.00332728,0.0001957036,0.00012899567,0.0034547462,0.0003107014,0.01791992],"genre_scores_gemma":[0.9831786,0.0006027818,0.006519823,0.00026072277,0.00006693195,0.00011434713,0.0012075347,0.00006044278,0.007988761],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931026,0.00031248506,0.000022245351,0.00010951435,0.000039803977,0.00020572341],"domain_scores_gemma":[0.9949491,0.0038008029,0.0005974298,0.00011522198,0.00031985692,0.0002175559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016670886,0.0012231051,0.0010452126,0.0011493624,0.00046821713,0.0016730545,0.0014039202,0.003055409,0.00408269],"category_scores_gemma":[0.0068091373,0.00058076886,0.0018461725,0.0006139114,0.00087800564,0.00092030136,0.0011377692,0.0013568217,0.00038250664],"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":[0.000062189545,0.00006992925,0.007360617,0.00005138107,0.000044228287,0.00017429468,0.00007433162,0.9855816,0.0002204426,0.0040512863,0.00075466104,0.001555211],"study_design_scores_gemma":[0.00002315982,0.000030027282,0.0018052909,0.000019130253,0.00001915426,0.00002166506,0.00006711001,0.9958443,0.00005276867,0.0015136799,0.0005916302,0.000012127225],"about_ca_topic_score_codex":0.14554276,"about_ca_topic_score_gemma":0.05657583,"teacher_disagreement_score":0.14554276,"about_ca_system_score_codex":0.0022631965,"about_ca_system_score_gemma":0.0016677649,"threshold_uncertainty_score":0.28939116},"labels":[],"label_agreement":null},{"id":"W3215695737","doi":"10.3390/covid1040056","title":"Impacts of the COVID-19 Pandemic on Children and Families from Marginalized Groups: A Qualitative Study in Kingston, Ontario","year":2021,"lang":"en","type":"article","venue":"COVID","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"Physicians' Services Incorporated Foundation","keywords":"Indigenous; Pandemic; Qualitative research; Domestic violence; Cultural safety; Psychology; Suicide prevention; Poison control; Nursing; Medicine; Sociology; Coronavirus disease 2019 (COVID-19); Environmental health; Social science","score_opus":0.11292612655451943,"score_gpt":0.46012546549148964,"score_spread":0.3471993389369702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215695737","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":[0.9911714,0.0011079435,0.00027396387,0.0015512061,0.00003012946,0.00014521679,0.0002143553,0.0000071659215,0.0054984963],"genre_scores_gemma":[0.9935243,0.0014344496,0.0002959588,0.00083529664,0.000010376312,0.00015348065,0.000073846386,0.000016761644,0.003655496],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99718046,0.0011785342,0.00009782792,0.00023391994,0.00032786833,0.0009814176],"domain_scores_gemma":[0.99602145,0.0018307217,0.00042956552,0.00013708007,0.0005821687,0.0009989907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033344768,0.00046504434,0.00089833257,0.0009497219,0.018679682,0.0033244148,0.0018832325,0.0010818256,0.0029709507],"category_scores_gemma":[0.0044317367,0.000612203,0.00038612692,0.0023441769,0.009479694,0.0013927175,0.004684961,0.0016107054,0.00020230509],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012423336,0.000009250721,0.0051414366,0.000093137176,0.000002868337,0.00081332045,0.99198884,0.000014608744,0.00031273798,0.00021170416,0.00030093562,0.0010986064],"study_design_scores_gemma":[0.0000010720426,0.00001272806,0.0062566237,0.00009523503,0.0000033256492,0.00009019888,0.9882067,0.000013692354,0.00004157464,0.000028652203,0.0052439603,0.0000063421244],"about_ca_topic_score_codex":0.88916534,"about_ca_topic_score_gemma":0.96066475,"teacher_disagreement_score":0.11083466,"about_ca_system_score_codex":0.050829314,"about_ca_system_score_gemma":0.036915086,"threshold_uncertainty_score":0.3687942},"labels":[],"label_agreement":null},{"id":"W4224303988","doi":"10.3390/covid2040037","title":"A Short Overview: Marine Resources as Potential Interventions for the Omicron SARS-CoV-2 Variant","year":2022,"lang":"en","type":"article","venue":"COVID","topic":"SARS-CoV-2 detection and testing","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 Toronto","funders":"","keywords":"Biology; Virology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Human immunodeficiency virus (HIV); Computational biology; Coronavirus disease 2019 (COVID-19); Disease; Medicine; Infectious disease (medical specialty)","score_opus":0.09704946700952517,"score_gpt":0.3677375468444595,"score_spread":0.2706880798349343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224303988","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004105348,0.99135923,0.00044650974,0.0019500513,0.002043338,0.00004150143,0.0002050912,0.000027354541,0.0035164517],"genre_scores_gemma":[0.0014048872,0.9930056,0.000605438,0.0012642165,0.0016489687,0.000046340196,0.0002376727,0.000005249222,0.0017817891],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997571,0.00006967524,0.000048496822,0.000043643413,0.000058268273,0.000022820577],"domain_scores_gemma":[0.9993936,0.00035807458,0.000094265975,0.000010972479,0.0001017577,0.000041420997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047894832,0.0009347858,0.00088917045,0.0017641683,0.0002552672,0.0010642249,0.0004719286,0.001478416,0.008613056],"category_scores_gemma":[0.0010590688,0.00022817729,0.00082590187,0.0012790852,0.00023199456,0.0014967773,0.0006392018,0.001556313,0.0027578361],"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":[0.00025341587,0.00010412472,0.0005101426,0.033441834,0.00019634858,0.0004155899,0.00010436232,0.00040923065,0.0022517638,0.0037626496,0.091688044,0.86686254],"study_design_scores_gemma":[0.000017321452,0.00034402596,0.0015055211,0.0073854905,0.000178455,0.0010416169,0.00009484889,0.00009255554,0.00045328983,0.0013042968,0.9875602,0.000022461762],"about_ca_topic_score_codex":0.0009144974,"about_ca_topic_score_gemma":0.0018944001,"teacher_disagreement_score":0.008613056,"about_ca_system_score_codex":0.0005810288,"about_ca_system_score_gemma":0.0007581269,"threshold_uncertainty_score":0.028813541},"labels":[],"label_agreement":null},{"id":"W4224920423","doi":"10.3390/covid2020012","title":"Exploring the Association of the COVID-19 Pandemic on Employee Sleep Quality at a Healthcare Technology and Services Organization","year":2022,"lang":"en","type":"article","venue":"COVID","topic":"COVID-19 and Mental Health","field":"Psychology","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":"Université de Montréal","funders":"","keywords":"Pittsburgh Sleep Quality Index; Pandemic; Coronavirus disease 2019 (COVID-19); Health care; Sleep (system call); Insomnia; Quality (philosophy); Medicine; Sleep quality; Psychology; Gerontology; Psychiatry; Political science; Internal medicine; Disease; Computer science","score_opus":0.18225870260251698,"score_gpt":0.42125797710681506,"score_spread":0.2389992745042981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224920423","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":[0.9993718,0.000040713163,0.000020634707,0.00010041886,0.0000030977144,0.000005211731,0.00011549478,5.046465e-7,0.0003420779],"genre_scores_gemma":[0.99961567,0.000049209575,0.000038481023,0.00003801914,0.000005512433,0.000007227812,0.00014672545,4.4478602e-7,0.00009881316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992674,0.00030396672,0.00006390042,0.000052009273,0.00011613456,0.00019659117],"domain_scores_gemma":[0.9953713,0.0014720799,0.0016171706,0.0001455033,0.00057428866,0.0008196289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015109802,0.00011825588,0.00012516625,0.00052234955,0.00044892586,0.00047663716,0.0002621006,0.0003595676,0.0013664542],"category_scores_gemma":[0.005268923,0.00012567572,0.00026581003,0.0005324845,0.00023699584,0.00043545951,0.0007107625,0.0005968013,0.00013218471],"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":[0.000025718007,0.000031371594,0.9989556,0.000003051636,0.000009029212,0.0000108874265,0.00013181107,0.000012585365,0.00003166614,0.000005385715,0.0000536444,0.0007291687],"study_design_scores_gemma":[6.3446106e-7,0.00005167369,0.99912006,0.0000028581983,0.0000023586786,0.000011908865,0.00070542423,0.000050697872,0.000011130441,0.0000029039006,0.000039287996,9.573564e-7],"about_ca_topic_score_codex":0.013762511,"about_ca_topic_score_gemma":0.031073902,"teacher_disagreement_score":0.013762511,"about_ca_system_score_codex":0.00042363108,"about_ca_system_score_gemma":0.0006978309,"threshold_uncertainty_score":0.02736479},"labels":[],"label_agreement":null},{"id":"W4283709510","doi":"10.3390/covid2070064","title":"Obstructive Sleep Apnea (OSA) and COVID-19: Mortality Prediction of COVID-19-Infected Patients with OSA Using Machine Learning Approaches","year":2022,"lang":"en","type":"article","venue":"COVID","topic":"Obstructive Sleep Apnea Research","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 Toronto","funders":"","keywords":"Medicine; Obstructive sleep apnea; Case fatality rate; Mortality rate; Pandemic; Intensive care medicine; Population; Disease; Coronavirus disease 2019 (COVID-19); Sleep apnea; Emergency medicine; Medical emergency; Internal medicine; Infectious disease (medical specialty); Environmental health","score_opus":0.07254321936587849,"score_gpt":0.31382676718155034,"score_spread":0.24128354781567185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283709510","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":[0.9089835,0.0010581936,0.08539887,0.0011865925,0.00012201206,0.00008809815,0.0005437204,0.0002506179,0.0023684064],"genre_scores_gemma":[0.99099874,0.00018205885,0.007812866,0.00005500084,0.000040014158,0.000034454184,0.00038390132,0.0000041600892,0.00048873376],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975127,0.00008216657,0.00003165762,0.00005166242,0.000043183358,0.000040006234],"domain_scores_gemma":[0.9991535,0.00050477136,0.00011730685,0.000023174263,0.00013516624,0.0000660543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008309207,0.00050746335,0.00038743825,0.001231695,0.00030277763,0.000559143,0.00037778015,0.00064092386,0.00063360686],"category_scores_gemma":[0.0027119352,0.0001454652,0.00051231915,0.00033981018,0.0001369739,0.00038885878,0.0003703423,0.00058210775,0.00013579606],"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":[0.00044298268,0.0008046388,0.40884987,0.00009099392,0.00024455407,0.00041296647,0.00011172896,0.46040937,0.0019706348,0.0008378705,0.0017664421,0.12405799],"study_design_scores_gemma":[0.000003718945,0.00005953814,0.010751087,0.00000896343,0.000015199703,0.000037865288,0.000021786112,0.98855317,0.00022348479,0.00022743604,0.00009168229,0.000005969286],"about_ca_topic_score_codex":0.007947869,"about_ca_topic_score_gemma":0.005642024,"teacher_disagreement_score":0.007947869,"about_ca_system_score_codex":0.00045113944,"about_ca_system_score_gemma":0.0006644939,"threshold_uncertainty_score":0.015803218},"labels":[],"label_agreement":null},{"id":"W4296638782","doi":"10.3390/covid2100096","title":"Fear-Responses to Bat-Originating Coronavirus Pandemics with Respect to Quarantines Gauged in Relation to Postmodern Thought—Implications and Recommendations","year":2022,"lang":"en","type":"article","venue":"COVID","topic":"Psychology of Moral and Emotional Judgment","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":"University of Toronto","funders":"","keywords":"Pandemic; Postmodernism; Psychological resilience; Public health; Coronavirus disease 2019 (COVID-19); Sociology; Psychology; Social distance; Coronavirus; Resilience (materials science); Public relations; Criminology; Political science; Social psychology; Medicine; Epistemology","score_opus":0.14569909235913955,"score_gpt":0.36840544159504485,"score_spread":0.2227063492359053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296638782","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":[0.08165196,0.09552811,0.006769632,0.74913645,0.004750488,0.00047008286,0.00046799454,0.000096750555,0.06112865],"genre_scores_gemma":[0.81697404,0.104659885,0.013424188,0.052141827,0.0024610846,0.001531764,0.00029632912,0.000054314445,0.008456571],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9942979,0.0037011178,0.0002827371,0.0005241482,0.0007212464,0.00047286463],"domain_scores_gemma":[0.925042,0.05318341,0.0037012277,0.0023761864,0.011380016,0.0043172278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01623169,0.00086591253,0.0010589326,0.0025038966,0.003513259,0.0105135245,0.0029293646,0.0032702144,0.0070285886],"category_scores_gemma":[0.046592098,0.00038358054,0.0005626587,0.0024039748,0.013089024,0.012063015,0.0037433428,0.007550299,0.0008436695],"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":[0.0004710762,0.0013581241,0.071885705,0.007740738,0.00028012338,0.0010631484,0.16095482,0.0008577585,0.0014619441,0.15106171,0.082319535,0.5205453],"study_design_scores_gemma":[0.000054406606,0.00023569625,0.060280707,0.018322507,0.00017305759,0.00049320515,0.54073083,0.00091880356,0.0009403358,0.28608948,0.09155087,0.00021007667],"about_ca_topic_score_codex":0.021794435,"about_ca_topic_score_gemma":0.0530984,"teacher_disagreement_score":0.021794435,"about_ca_system_score_codex":0.008367846,"about_ca_system_score_gemma":0.020926965,"threshold_uncertainty_score":0.08584237},"labels":[],"label_agreement":null},{"id":"W4309855393","doi":"10.3390/covid2120117","title":"Antibodies to Commonly Circulating Viral Pathogens Modulate Serological Response to Severe Acute Respiratory Syndrome Coronavirus 2 Infection","year":2022,"lang":"en","type":"article","venue":"COVID","topic":"Respiratory viral infections research","field":"Medicine","cited_by":1,"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":"Global Affairs Canada; United Nations Population Fund","keywords":"Dengue fever; Virology; Medicine; Serology; Chikungunya; Dengue virus; Seroprevalence; Coronavirus; Immunology; Virus; Antibody; Internal medicine; Coronavirus disease 2019 (COVID-19)","score_opus":0.09124256339221429,"score_gpt":0.3931785934102935,"score_spread":0.3019360300180792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309855393","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":[0.9995378,0.00010715469,0.000024982935,0.000012081281,0.0000033296667,0.0000028839618,0.00003532101,0.0000011254695,0.00027542192],"genre_scores_gemma":[0.9996209,0.00006882168,0.000032195225,0.00001706915,0.0000055987366,0.0000021498809,0.000057930018,5.3608755e-7,0.00019489111],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998375,0.000058840724,0.000016109787,0.000028159135,0.000021724569,0.000037685943],"domain_scores_gemma":[0.99935955,0.00014644743,0.0003116365,0.000027204045,0.000057261328,0.00009780514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023419005,0.00023429505,0.00016980406,0.00022868365,0.00015084173,0.00029460722,0.00009552234,0.00027043378,0.0013748549],"category_scores_gemma":[0.0012358492,0.00015690723,0.00014607218,0.00021504905,0.0001290636,0.000256181,0.00017735254,0.0003621389,0.00026669266],"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":[0.00015256068,0.00007596647,0.99617887,0.00000776763,0.000018126058,0.00007100335,0.00009462135,0.000027266311,0.0018700301,0.000007878404,0.000035206205,0.0014608224],"study_design_scores_gemma":[0.000002518335,0.00017759198,0.999323,0.000002268377,0.000006110255,0.00013712478,0.00008447176,0.00005177511,0.00012356711,0.0000072193793,0.00008321879,0.0000010502847],"about_ca_topic_score_codex":0.00077935716,"about_ca_topic_score_gemma":0.00091403304,"teacher_disagreement_score":0.0013748549,"about_ca_system_score_codex":0.00009049199,"about_ca_system_score_gemma":0.000085273205,"threshold_uncertainty_score":0.004599273},"labels":[],"label_agreement":null},{"id":"W4318499624","doi":"10.3390/covid3020012","title":"Delivering Health Services during Early Days of COVID-19 Pandemic: Perspectives of Frontline Healthcare Workers in Kenya’s Urban Informal Settlements","year":2023,"lang":"en","type":"article","venue":"COVID","topic":"COVID-19 and Mental Health","field":"Psychology","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":"Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Pandemic; Personal protective equipment; Medicine; Preparedness; Health care; Mental health; Psychological intervention; Curfew; Human settlement; Environmental health; Health facility; Nursing; Coronavirus disease 2019 (COVID-19); Medical emergency; Economic growth; Geography; Health services; Population; Infectious disease (medical specialty); Disease; Political science; Psychiatry","score_opus":0.06995567582443105,"score_gpt":0.4157478519791012,"score_spread":0.34579217615467017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318499624","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":[0.99192363,0.00063607236,0.00012959682,0.0029032477,0.000043165437,0.000036800462,0.00003023958,0.0000023992038,0.0042948565],"genre_scores_gemma":[0.9962309,0.00070811086,0.00014074505,0.001109194,0.00001398564,0.000036293604,0.000014955785,0.000004127021,0.0017416686],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99841344,0.00080348994,0.000031030264,0.000055702072,0.00007923546,0.00061699137],"domain_scores_gemma":[0.99852496,0.00062608696,0.00022118387,0.00002483989,0.0000975487,0.00050537736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021913094,0.0004513728,0.00041355533,0.00055821915,0.011071899,0.0030512358,0.00078004366,0.0014064186,0.0035423015],"category_scores_gemma":[0.0022157582,0.00042508778,0.00023981668,0.0005408613,0.006336453,0.0020883747,0.003368514,0.0023173608,0.00023852717],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031235886,0.000060936705,0.012659344,0.00011994511,0.000004251145,0.001385297,0.98001915,0.000017673083,0.00061266264,0.00081232365,0.00083993346,0.0034371961],"study_design_scores_gemma":[0.000002106971,0.00003073445,0.0038898482,0.00008123082,0.000001833631,0.000118605996,0.9930737,0.000013246777,0.00004155271,0.000057445144,0.0026846135,0.0000051657653],"about_ca_topic_score_codex":0.033800196,"about_ca_topic_score_gemma":0.089854114,"teacher_disagreement_score":0.033800196,"about_ca_system_score_codex":0.004116244,"about_ca_system_score_gemma":0.0047721798,"threshold_uncertainty_score":0.06720692},"labels":[],"label_agreement":null},{"id":"W4372346557","doi":"10.3390/covid3050052","title":"Epidemiology of SARS-CoV-2 Infection in Ethiopia: A Systematic Review and Meta-Analysis","year":2023,"lang":"en","type":"review","venue":"COVID","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Meta-analysis; Funnel plot; Medicine; Publication bias; Epidemiology; Population; Demography; Environmental health; Internal medicine","score_opus":0.6138764481251027,"score_gpt":0.6126682399224552,"score_spread":0.0012082082026474428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4372346557","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004858793,0.99342394,0.00041684494,0.00019288147,0.00010834993,0.0002672098,0.0005346273,0.000016808706,0.00018058244],"genre_scores_gemma":[0.12873946,0.8657677,0.002203739,0.0006029475,0.00022356704,0.0012409657,0.00092950964,0.000024517074,0.00026753874],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9911344,0.0035833055,0.0029873187,0.0009260593,0.0010053545,0.00036345609],"domain_scores_gemma":[0.9844961,0.010840471,0.0024149383,0.00046001156,0.0015777237,0.00021080096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012684188,0.0028086905,0.019170523,0.010139257,0.0007950913,0.003916996,0.0021326789,0.002175583,0.0033665616],"category_scores_gemma":[0.025919668,0.0016151399,0.040644586,0.009396411,0.00059088354,0.0019730728,0.0016563013,0.0015931231,0.00025860165],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010699667,0.000036474397,0.007106793,0.47942984,0.5001165,0.00022280421,0.00011495862,0.00064736634,0.00021127294,0.00014450538,0.0006080041,0.010291443],"study_design_scores_gemma":[0.00026702357,0.00016347188,0.0053273323,0.045095634,0.9467193,0.00017935921,0.00007794646,0.00024720407,0.00009986167,0.0001544521,0.0016402117,0.000028156963],"about_ca_topic_score_codex":0.006417954,"about_ca_topic_score_gemma":0.01379855,"teacher_disagreement_score":0.019170523,"about_ca_system_score_codex":0.0026832572,"about_ca_system_score_gemma":0.0051954202,"threshold_uncertainty_score":0.06708115},"labels":[],"label_agreement":null},{"id":"W4375865947","doi":"10.3390/covid3050054","title":"Population-Based Model of the Fraction of Incidental COVID-19 Hospitalizations during the Omicron BA.1 Wave in the United States","year":2023,"lang":"en","type":"article","venue":"COVID","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":3,"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":"Massachusetts Institute of Technology","keywords":"Coronavirus disease 2019 (COVID-19); Medicine; Incidence (geometry); Quarter (Canadian coin); Demography; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Population; 2019-20 coronavirus outbreak; Longitudinal study; Confidence interval; Prospective cohort study; Pediatrics; Internal medicine; Disease; Virology; Geography; Environmental health; Infectious disease (medical specialty); Pathology","score_opus":0.07579253310873307,"score_gpt":0.378607886298301,"score_spread":0.3028153531895679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375865947","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":[0.93213373,0.0006760594,0.051037695,0.0032794757,0.00020478024,0.00017601905,0.00828193,0.00033023534,0.0038800954],"genre_scores_gemma":[0.9856097,0.00021943181,0.0061195237,0.00023358819,0.00006939605,0.00017755783,0.003361372,0.000029772636,0.004179565],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992849,0.00031210127,0.000025572577,0.00021788699,0.000032153413,0.0001273826],"domain_scores_gemma":[0.99571496,0.002760708,0.0005440492,0.0001604548,0.0004917016,0.00032822994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037009935,0.00090722844,0.0014425988,0.0010480318,0.00054863817,0.0015530888,0.0026912903,0.0021222318,0.0053772],"category_scores_gemma":[0.006110551,0.0007624559,0.001535638,0.0009481745,0.0010378116,0.00096325314,0.0010203341,0.0022852547,0.0006288532],"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":[0.00037483085,0.00018843959,0.09326455,0.000053920718,0.00035416865,0.00043894487,0.00016352488,0.8900103,0.00022744961,0.0063323593,0.0038967638,0.00469468],"study_design_scores_gemma":[0.000067761466,0.00006196203,0.007262811,0.000014670847,0.00006838847,0.000043989905,0.00007253712,0.9906116,0.000023149392,0.0014216097,0.00033557173,0.000015963355],"about_ca_topic_score_codex":0.11678673,"about_ca_topic_score_gemma":0.045263365,"teacher_disagreement_score":0.11678673,"about_ca_system_score_codex":0.0020765145,"about_ca_system_score_gemma":0.0017402911,"threshold_uncertainty_score":0.23221391},"labels":[],"label_agreement":null},{"id":"W4378469186","doi":"10.3390/covid3060061","title":"Extraversion in COVID-19 Coping and Actionable Insights from Considering Self-Directed Learning","year":2023,"lang":"en","type":"article","venue":"COVID","topic":"COVID-19 and Mental Health","field":"Psychology","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 Toronto","funders":"","keywords":"Extraversion and introversion; Psychology; Coping (psychology); Personality; Big Five personality traits; Trait; Coronavirus disease 2019 (COVID-19); Social psychology; Clinical psychology; Medicine; Disease; Computer science","score_opus":0.07938026545282154,"score_gpt":0.392671229702157,"score_spread":0.31329096424933545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378469186","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":[0.98054713,0.0010951391,0.001139119,0.001287333,0.00005442098,0.000025108451,0.00007975957,0.000010790548,0.015761154],"genre_scores_gemma":[0.9984035,0.00040527122,0.00038602765,0.00013599757,0.000015939024,0.0000067364235,0.000046324265,0.0000024918588,0.0005976773],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988537,0.00058777694,0.000058057492,0.00008280786,0.00026634693,0.00015125319],"domain_scores_gemma":[0.99467033,0.0024933529,0.0013165845,0.00034745687,0.00036461954,0.00080774503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019591723,0.00024224578,0.0002346317,0.001118963,0.0006138471,0.003335878,0.00023773748,0.00035288103,0.0027236366],"category_scores_gemma":[0.0058164457,0.000111959496,0.0004884753,0.0008171324,0.0013280337,0.0010829974,0.0013966749,0.0012743451,0.00016534963],"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":[0.00020672378,0.00057570776,0.7142256,0.000934686,0.00037338855,0.0007922952,0.08792193,0.0003828674,0.0022795482,0.011546648,0.0020765788,0.17868398],"study_design_scores_gemma":[0.000013442191,0.00020226622,0.9163445,0.00041480255,0.00009158673,0.00068158365,0.061025105,0.00060358935,0.0004620718,0.01064543,0.009468317,0.000047313802],"about_ca_topic_score_codex":0.00090208004,"about_ca_topic_score_gemma":0.002219733,"teacher_disagreement_score":0.003335878,"about_ca_system_score_codex":0.00061228964,"about_ca_system_score_gemma":0.00068440125,"threshold_uncertainty_score":0.010361254},"labels":[],"label_agreement":null},{"id":"W4381459866","doi":"10.3390/covid3050051","title":"COVID-19 Vaccine Willingness among African, Caribbean, and Black People in Ottawa, Ontario","year":2023,"lang":"en","type":"article","venue":"COVID","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Ottawa","funders":"Public Health Agency of Canada","keywords":"Socioeconomic status; Coronavirus disease 2019 (COVID-19); Logistic regression; Vaccination; Population; Bachelor; Medicine; Bachelor degree; Multivariate analysis; Demography; Socioeconomics; Environmental health; Geography; Immunology; Nursing; Sociology; Internal medicine","score_opus":0.02642138873916945,"score_gpt":0.29737777073546584,"score_spread":0.2709563819962964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381459866","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":[0.9982742,0.00012663755,0.000018284347,0.00016852244,0.000003513529,0.000022160004,0.0003783545,0.0000013292184,0.0010068662],"genre_scores_gemma":[0.99854636,0.0001629952,0.000051135994,0.00009704693,0.0000027372705,0.0000191311,0.00018264662,0.0000014283678,0.0009366126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993284,0.00007575131,0.000049357703,0.00009764134,0.00016529394,0.00028359116],"domain_scores_gemma":[0.99884784,0.0001099937,0.00034294793,0.000047654874,0.00027120466,0.00038028235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006202432,0.00022409415,0.00028171076,0.000709736,0.002830584,0.00093770627,0.00068234256,0.00036491224,0.0019016168],"category_scores_gemma":[0.0016864224,0.0002896418,0.0005597411,0.0015033702,0.0008728049,0.00045378398,0.0008376409,0.00049431436,0.0002195626],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006589309,0.000042082305,0.9885069,0.0000420361,0.000024856068,0.00012758697,0.007840913,0.000031666183,0.0002970506,0.0000763542,0.00049028057,0.0024543758],"study_design_scores_gemma":[0.0000044673293,0.00003052784,0.98819155,0.000028414159,0.000011731117,0.000043875156,0.01097959,0.00007281222,0.000029883555,0.000016584821,0.0005827431,0.000007811807],"about_ca_topic_score_codex":0.9824055,"about_ca_topic_score_gemma":0.9906413,"teacher_disagreement_score":0.017594516,"about_ca_system_score_codex":0.010501491,"about_ca_system_score_gemma":0.009112522,"threshold_uncertainty_score":0.07619399},"labels":[],"label_agreement":null},{"id":"W4385878739","doi":"10.3390/covid3080084","title":"Scoping Review of Self-Directed Online Learning, Public School Students’ Mental Health, and COVID-19 in Noting Positive Psychosocial Outcomes with Self-Initiated Learning","year":2023,"lang":"en","type":"article","venue":"COVID","topic":"COVID-19 and Mental Health","field":"Psychology","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 Toronto","funders":"","keywords":"Psychosocial; Mental health; Psychology; Autodidacticism; Public health; Coronavirus disease 2019 (COVID-19); Medical education; Clinical psychology; Medicine; Psychiatry; Nursing; Mathematics education; Disease","score_opus":0.09375240282632956,"score_gpt":0.4818071750002428,"score_spread":0.3880547721739132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385878739","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011948019,0.99238175,0.0005355169,0.0012080272,0.00048285708,0.0015452878,0.00068837876,0.000019790003,0.0019435893],"genre_scores_gemma":[0.010547283,0.98269135,0.0014973059,0.001248962,0.00013892466,0.0028363313,0.0005995718,0.000013163805,0.00042714787],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.976913,0.0070802267,0.0099708885,0.0010508292,0.0044400664,0.00054504577],"domain_scores_gemma":[0.90460974,0.06879435,0.012388082,0.001724161,0.0116066355,0.00087709835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.029516203,0.0015036595,0.006238057,0.02211461,0.0018561417,0.0054287426,0.002858038,0.0037540812,0.00636465],"category_scores_gemma":[0.115251236,0.0013229242,0.007364633,0.024439063,0.001967974,0.0036231724,0.004261034,0.0024824277,0.0007551749],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009668739,0.000029298077,0.0006583037,0.9255632,0.0027019617,0.00010963506,0.000773598,0.00010903759,0.000100902835,0.0010802101,0.0029037078,0.06587356],"study_design_scores_gemma":[0.000019326719,0.000034408058,0.00095273537,0.97705317,0.004493456,0.00006847416,0.0002605549,0.000027408332,0.000057667352,0.00025753703,0.01676417,0.000011210511],"about_ca_topic_score_codex":0.021015944,"about_ca_topic_score_gemma":0.05224866,"teacher_disagreement_score":0.029516203,"about_ca_system_score_codex":0.008145073,"about_ca_system_score_gemma":0.04395177,"threshold_uncertainty_score":0.15609848},"labels":[],"label_agreement":null},{"id":"W4386959309","doi":"10.3390/covid3090102","title":"Learning from Latin America: Coordinating Policy Responses across National and Subnational Levels to Combat COVID-19","year":2023,"lang":"en","type":"article","venue":"COVID","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":"McGill University","funders":"","keywords":"Latin Americans; Political science; Government (linguistics); Pandemic; Coronavirus disease 2019 (COVID-19); Economic growth; Health policy; Politics; Development economics; Public policy; Economics; Health care; Medicine","score_opus":0.4798914095937186,"score_gpt":0.5254986177466355,"score_spread":0.04560720815291691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386959309","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":[0.2905857,0.012198761,0.020341136,0.5229714,0.0011576879,0.0008225049,0.0069100815,0.00037098705,0.14464174],"genre_scores_gemma":[0.9315094,0.006786607,0.020956386,0.030400371,0.0002889466,0.0010801569,0.0029935208,0.00017830706,0.0058064517],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9875022,0.008766447,0.00040459904,0.0006671945,0.0005437418,0.0021157968],"domain_scores_gemma":[0.98177767,0.009818276,0.0024508827,0.001451234,0.0025639813,0.0019379952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02106086,0.0006267342,0.000883777,0.0018347969,0.002869005,0.0078055975,0.0017993477,0.0019094815,0.009608808],"category_scores_gemma":[0.036623828,0.0003085386,0.0008472545,0.0043196585,0.002466612,0.007409359,0.007674988,0.0037420362,0.0006145908],"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":[0.0006294112,0.0006443366,0.29780558,0.0026884614,0.00063619006,0.0018341461,0.068795644,0.011421576,0.0014532346,0.16294998,0.1273793,0.3237623],"study_design_scores_gemma":[0.00026884733,0.00024594378,0.13425742,0.0071011996,0.00036929795,0.00024991858,0.22885618,0.005604193,0.0013047995,0.13036096,0.49115735,0.00022387734],"about_ca_topic_score_codex":0.12456218,"about_ca_topic_score_gemma":0.14738321,"teacher_disagreement_score":0.12456218,"about_ca_system_score_codex":0.011450652,"about_ca_system_score_gemma":0.02863903,"threshold_uncertainty_score":0.24767429},"labels":[],"label_agreement":null},{"id":"W4387773823","doi":"10.3390/covid3100111","title":"A Qualitative Analysis of Older Adults’ Cognitive Appraisal in Coping during the COVID-19 Pandemic: The Role of Social Capital","year":2023,"lang":"en","type":"article","venue":"COVID","topic":"Health disparities and outcomes","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":"Adler; Professional Engineers Ontario; Toronto Metropolitan University","funders":"","keywords":"Coping (psychology); Psychology; Cognition; Cognitive appraisal; Social capital; Pandemic; Social support; Qualitative research; Developmental psychology; Coronavirus disease 2019 (COVID-19); Clinical psychology; Social psychology; Medicine; Psychiatry; Sociology; Disease","score_opus":0.06929279638082063,"score_gpt":0.46887129346287143,"score_spread":0.3995784970820508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387773823","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":[0.9887764,0.0005963214,0.0034014948,0.002343017,0.00004748337,0.0002567262,0.00026548732,0.000011914395,0.0043010917],"genre_scores_gemma":[0.9955531,0.0006116288,0.0015646099,0.00055070774,0.000017208149,0.0003112259,0.00007505774,0.000010629331,0.0013058756],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9951384,0.003587794,0.00018360876,0.00019948912,0.00037077858,0.0005197653],"domain_scores_gemma":[0.98920864,0.008365716,0.00066883484,0.00020209375,0.0009148539,0.0006398174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011488546,0.0004591763,0.0005813925,0.0015696491,0.004722623,0.0024743127,0.0009907344,0.0010467531,0.0018277881],"category_scores_gemma":[0.013002279,0.00030583984,0.00032235688,0.0015638727,0.005445441,0.0030733678,0.0037966173,0.0015243588,0.0001561322],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021902162,0.000019171299,0.0028274297,0.00012646457,0.0000025150482,0.0003701978,0.9914996,0.000024663665,0.0004155212,0.0010906967,0.00033180125,0.0032700705],"study_design_scores_gemma":[0.000002505356,0.000027892162,0.002528013,0.00013464372,0.0000027236701,0.00011551193,0.9927591,0.000056052217,0.00017676418,0.00036658384,0.0038219371,0.000008234353],"about_ca_topic_score_codex":0.008215169,"about_ca_topic_score_gemma":0.012834565,"teacher_disagreement_score":0.011488546,"about_ca_system_score_codex":0.003983662,"about_ca_system_score_gemma":0.0033859292,"threshold_uncertainty_score":0.060757935},"labels":[],"label_agreement":null},{"id":"W4391684938","doi":"10.3390/covid4020015","title":"Patient-Perceived Impact of the COVID-19 Pandemic on Medication Adherence and Access to Care for Long-Term Diseases: A Cross-Sectional Online Survey","year":2024,"lang":"en","type":"article","venue":"COVID","topic":"Medication Adherence and Compliance","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":"University of British Columbia","funders":"","keywords":"Cross-sectional study; Pandemic; Coronavirus disease 2019 (COVID-19); Medicine; Medication adherence; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Term (time); Family medicine; Virology; Internal medicine; Disease; Infectious disease (medical specialty); Pathology","score_opus":0.18399393829757807,"score_gpt":0.4790148067521582,"score_spread":0.2950208684545801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391684938","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":[0.9981025,0.000104296116,0.000058110403,0.00011659097,0.0000060178513,0.00004928432,0.0010827538,0.0000026481036,0.00047778073],"genre_scores_gemma":[0.9984157,0.00016175157,0.00015932314,0.00015416525,0.000017346021,0.00009646586,0.0008013116,0.0000021857807,0.00019169056],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987993,0.0004924004,0.0001686217,0.00012579108,0.00024609466,0.00016779463],"domain_scores_gemma":[0.9965017,0.0008932458,0.0015472493,0.00014711937,0.00037303238,0.0005376156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019594838,0.00020968888,0.00034169643,0.0006503056,0.0003879361,0.00064522575,0.00026688978,0.0006799229,0.0022397928],"category_scores_gemma":[0.0046757245,0.0003056084,0.0005637737,0.0007979748,0.00025873608,0.0007587727,0.00076054776,0.0009192554,0.00039500959],"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":[0.00004662797,0.00013776886,0.99757737,0.00003128165,0.00004009666,0.000038348688,0.00038578495,0.000024904657,0.00009241438,0.00000844038,0.00022891023,0.0013881068],"study_design_scores_gemma":[0.000009592415,0.00023960671,0.99836963,0.000019055124,0.000015303995,0.00011648091,0.0007759442,0.00013129727,0.000026695427,0.000006875818,0.00028280052,0.0000067509613],"about_ca_topic_score_codex":0.005214444,"about_ca_topic_score_gemma":0.0050902828,"teacher_disagreement_score":0.005214444,"about_ca_system_score_codex":0.00033847633,"about_ca_system_score_gemma":0.00032833908,"threshold_uncertainty_score":0.010368228},"labels":[],"label_agreement":null},{"id":"W4391994966","doi":"10.3390/covid4020020","title":"Modeling COVID-19 Disease with Deterministic and Data-Driven Models Using Daily Empirical Data in the United Kingdom","year":2024,"lang":"en","type":"article","venue":"COVID","topic":"COVID-19 epidemiological studies","field":"Mathematics","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 Manitoba","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Econometrics; Disease; Data science; Geography; Computer science; Virology; Medicine; Mathematics; Infectious disease (medical specialty); Outbreak; Internal medicine","score_opus":0.766512237030404,"score_gpt":0.5432826905665574,"score_spread":0.22322954646384663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391994966","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":[0.92466563,0.0014594573,0.063687414,0.0018845507,0.00016599846,0.0001247329,0.003659708,0.00018214942,0.004170394],"genre_scores_gemma":[0.98813164,0.0004756566,0.007657405,0.00009308469,0.000024362267,0.00010041901,0.0013765824,0.000020769881,0.0021200348],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938536,0.00026565007,0.00005406096,0.00013908793,0.000059550257,0.00009626496],"domain_scores_gemma":[0.9957338,0.003088383,0.00043934642,0.00013788446,0.00048527418,0.0001153618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019801238,0.00070558744,0.00079295423,0.0007120621,0.00036708915,0.0012043902,0.001222571,0.0018771967,0.0012708028],"category_scores_gemma":[0.007585069,0.00068565726,0.0011010057,0.0006626052,0.00070554717,0.00094145315,0.00089681405,0.0012639402,0.00019239986],"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":[0.000032276872,0.000022368842,0.0063321204,0.00003706361,0.000029534222,0.00010689749,0.00004147912,0.99008965,0.00012483216,0.0019716509,0.00028534664,0.0009267658],"study_design_scores_gemma":[0.000005973742,0.000013003941,0.0016014887,0.000008716048,0.0000073475835,0.000012099038,0.00003281444,0.99746966,0.000045193283,0.00055549765,0.0002385177,0.000009699635],"about_ca_topic_score_codex":0.12631983,"about_ca_topic_score_gemma":0.054125633,"teacher_disagreement_score":0.12631983,"about_ca_system_score_codex":0.0020404097,"about_ca_system_score_gemma":0.0010767838,"threshold_uncertainty_score":0.25116915},"labels":[],"label_agreement":null},{"id":"W4392745087","doi":"10.3390/covid4030026","title":"Peritraumatic Distress among Chinese Canadians during the Early Lockdown Stage of the COVID-19 Pandemic: Sociodemographic and Pandemic-Related Predictors","year":2024,"lang":"en","type":"article","venue":"COVID","topic":"Posttraumatic Stress Disorder Research","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Canadian Institutes of Health Research","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Distress; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Psychology; Demography; Clinical psychology; Virology; Disease; Sociology; Infectious disease (medical specialty); Outbreak","score_opus":0.0400786098504083,"score_gpt":0.34755744460087873,"score_spread":0.30747883475047044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392745087","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":[0.9991314,0.00007765525,0.000011623192,0.000094048395,0.000003873372,0.000008440737,0.00026906218,7.061877e-7,0.00040312263],"genre_scores_gemma":[0.99938345,0.00011226213,0.000023651293,0.000042954376,0.000004431732,0.0000053142003,0.00021183795,5.6509003e-7,0.00021546346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969196,0.000018494165,0.000019724033,0.000037201564,0.00008491065,0.00014764443],"domain_scores_gemma":[0.9992962,0.00003252411,0.00021116697,0.00002298545,0.00016490962,0.0002722525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039828426,0.00035249724,0.00020718794,0.0010000146,0.0024417844,0.0006955714,0.0005056288,0.00034092774,0.0020394353],"category_scores_gemma":[0.0012797066,0.00023154332,0.0005054233,0.0017187881,0.00067270984,0.00032007575,0.0007242782,0.00061379356,0.00015732221],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033603395,0.000022156035,0.99710494,0.000011541929,0.000013737093,0.00006889159,0.0011472474,0.000015778414,0.00011005968,0.000019384066,0.0001767064,0.0012758437],"study_design_scores_gemma":[0.0000018528427,0.000019132187,0.99577385,0.000008219866,0.000007189844,0.000040535295,0.003908363,0.000052532014,0.000018516603,0.000011904622,0.00015303494,0.0000049387463],"about_ca_topic_score_codex":0.8816581,"about_ca_topic_score_gemma":0.9311267,"teacher_disagreement_score":0.11834192,"about_ca_system_score_codex":0.0048005013,"about_ca_system_score_gemma":0.008356893,"threshold_uncertainty_score":0.2380777},"labels":[],"label_agreement":null},{"id":"W4393164561","doi":"10.3390/covid4040028","title":"Experiences and Impacts of the COVID-19 Pandemic: A Thematic Analysis","year":2024,"lang":"en","type":"article","venue":"COVID","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Athabasca University; University of Calgary","funders":"Athabasca University","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Thematic map; Thematic analysis; Virology; Psychology; Geography; Sociology; Medicine; Cartography; Qualitative research; Social science; Outbreak; Infectious disease (medical specialty)","score_opus":0.13372090222594826,"score_gpt":0.47842928465730894,"score_spread":0.3447083824313607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393164561","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":[0.9751974,0.0009411679,0.0025833233,0.004317617,0.00010875999,0.00082855317,0.00089001056,0.000024327695,0.015108918],"genre_scores_gemma":[0.9911807,0.0017005627,0.0019156655,0.0008374144,0.000027536742,0.0005651628,0.00034229923,0.000045720073,0.003384835],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99409664,0.0028008656,0.00021874388,0.00039933482,0.00114294,0.0013414116],"domain_scores_gemma":[0.99174905,0.004499419,0.00061999355,0.00021378325,0.0020226564,0.0008952111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012898355,0.0007378176,0.0007175123,0.0036877953,0.014978572,0.0055499696,0.002419309,0.0010360827,0.0027158468],"category_scores_gemma":[0.01479205,0.0004877448,0.00053143164,0.005649283,0.00966142,0.0034515285,0.006756222,0.0027153045,0.00020674414],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012205976,0.000006821039,0.0016046254,0.00009905231,0.0000023621196,0.00015333242,0.9945168,0.00001864547,0.0001700401,0.0006907979,0.00058153016,0.0021437937],"study_design_scores_gemma":[0.0000010317592,0.000004398629,0.0014634039,0.000096521355,0.0000021496062,0.000033165423,0.9949615,0.00003854388,0.000045768677,0.00010392071,0.003244212,0.000005339871],"about_ca_topic_score_codex":0.5650917,"about_ca_topic_score_gemma":0.6438763,"teacher_disagreement_score":0.5650917,"about_ca_system_score_codex":0.036720302,"about_ca_system_score_gemma":0.03955167,"threshold_uncertainty_score":0.8749391},"labels":[],"label_agreement":null},{"id":"W4399304404","doi":"10.3390/covid4060049","title":"Staff Resiliency in Long-Term Care during the COVID-19 Pandemic: A Qualitative Study","year":2024,"lang":"en","type":"article","venue":"COVID","topic":"Employment and Welfare Studies","field":"Health Professions","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":"Thompson Rivers University; University of Northern British Columbia","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Term (time); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Qualitative research; Long-term care; Psychology; Virology; Medicine; Nursing; Sociology; Infectious disease (medical specialty); Outbreak; Physics; Internal medicine","score_opus":0.13696934558857193,"score_gpt":0.5303552220974924,"score_spread":0.3933858765089205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399304404","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":[0.99096197,0.0006784671,0.0015582347,0.0025800515,0.00008296268,0.0002290769,0.00017090079,0.000016692396,0.003721709],"genre_scores_gemma":[0.9938508,0.0011202926,0.0009288361,0.00093861425,0.000025348252,0.0003963584,0.00007840367,0.000020774745,0.002640529],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9906804,0.0064908834,0.0002612789,0.00035336072,0.0007065024,0.0015076443],"domain_scores_gemma":[0.98167074,0.012122997,0.0011386692,0.00041840892,0.0021358824,0.0025132443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013348841,0.00046777012,0.00079720456,0.001497941,0.012356578,0.0037762132,0.0018815285,0.0017328977,0.00249389],"category_scores_gemma":[0.018115584,0.0005833399,0.0003944658,0.002183883,0.007984107,0.002732392,0.0046305466,0.002680421,0.00036997936],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025852001,0.00003480307,0.0021047816,0.00012625691,0.000002507291,0.00063810375,0.9930901,0.00003218199,0.00047594635,0.000480294,0.0004438716,0.0025453863],"study_design_scores_gemma":[0.0000015697603,0.000024972695,0.00075139006,0.00012706865,0.0000016322023,0.000106550215,0.995849,0.000029001283,0.00009363989,0.00008221934,0.0029263247,0.000006539858],"about_ca_topic_score_codex":0.044126622,"about_ca_topic_score_gemma":0.067960165,"teacher_disagreement_score":0.044126622,"about_ca_system_score_codex":0.010769133,"about_ca_system_score_gemma":0.011592804,"threshold_uncertainty_score":0.08773959},"labels":[],"label_agreement":null},{"id":"W4399782015","doi":"10.3390/covid4060053","title":"Mitigating Social Isolation Following the COVID-19 Pandemic: Remedy Messages Shared by Older People","year":2024,"lang":"en","type":"article","venue":"COVID","topic":"COVID-19 and Mental Health","field":"Psychology","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":"Memorial University of Newfoundland; Simon Fraser University; University of Alberta","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Isolation (microbiology); Social isolation; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Social distance; Virology; Internet privacy; Medicine; Computer science; Biology; Outbreak; Infectious disease (medical specialty); Psychiatry; Disease","score_opus":0.0987263850127437,"score_gpt":0.4458604991124707,"score_spread":0.34713411409972705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399782015","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":[0.9277575,0.0010215433,0.0011676855,0.047669627,0.00060251285,0.0002448241,0.00010546809,0.00010239783,0.021328364],"genre_scores_gemma":[0.98229045,0.0011828738,0.0018263916,0.011046099,0.0002437739,0.00016235374,0.000061081315,0.000022698128,0.0031642593],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99756444,0.0014089722,0.000066741326,0.00008815185,0.00027738247,0.00059432373],"domain_scores_gemma":[0.9938294,0.0019103844,0.0011337873,0.00018964263,0.000682945,0.00225377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005068073,0.00039606966,0.00033111632,0.00072380767,0.0060507646,0.0020709026,0.00061003014,0.001171076,0.004180493],"category_scores_gemma":[0.014805202,0.00024174234,0.00039119972,0.00031205782,0.0019339252,0.0021501111,0.0056969626,0.0023827574,0.000470474],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019790103,0.0010027563,0.11127169,0.0009985188,0.00010205225,0.0011420719,0.62039316,0.000123124,0.0030065493,0.0022767095,0.05445487,0.20503058],"study_design_scores_gemma":[0.00007523014,0.00086290506,0.11968781,0.0009993752,0.00011040949,0.0004880158,0.78670937,0.00038838058,0.00072348013,0.002800605,0.08706814,0.0000863298],"about_ca_topic_score_codex":0.018284976,"about_ca_topic_score_gemma":0.046185,"teacher_disagreement_score":0.018284976,"about_ca_system_score_codex":0.0027164256,"about_ca_system_score_gemma":0.005679284,"threshold_uncertainty_score":0.036357105},"labels":[],"label_agreement":null},{"id":"W4402411697","doi":"10.3390/covid4090101","title":"Trust Us—We Are the (COVID-19 Misinformation) Experts: A Critical Scoping Review of Expert Meanings of “Misinformation” in the Covid Era","year":2024,"lang":"en","type":"article","venue":"COVID","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":6,"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":"Social Sciences and Humanities Research Council of Canada","keywords":"Misinformation; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Psychology; Political science; Medicine; Virology; Outbreak; Law","score_opus":0.10950256903193883,"score_gpt":0.43511946050500566,"score_spread":0.3256168914730668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402411697","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015394608,0.96860373,0.0016153649,0.02139807,0.0018881712,0.0003947913,0.00018914577,0.000016210764,0.0043551032],"genre_scores_gemma":[0.04542687,0.9312766,0.005529314,0.013557172,0.0013003546,0.0015528884,0.00036216935,0.000043657747,0.00095101044],"study_design_codex":"systematic_review","study_design_gemma":"qualitative","domain_scores_codex":[0.8734814,0.07704293,0.028001204,0.0043666232,0.015688056,0.0014196752],"domain_scores_gemma":[0.53231025,0.39794087,0.0250187,0.008238749,0.034885902,0.0016055392],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.10176393,0.001115341,0.003047796,0.029669102,0.0031762118,0.013944665,0.0024051012,0.006510367,0.0037751214],"category_scores_gemma":[0.33753785,0.0013367892,0.0027145145,0.019614927,0.010127863,0.01752547,0.00737858,0.0046073543,0.00079545926],"study_design_candidate":"qualitative","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":[0.00025905264,0.000040022882,0.0020693187,0.4873371,0.0015163155,0.0007546069,0.0339587,0.00042265153,0.0004921488,0.054766588,0.042132277,0.37625125],"study_design_scores_gemma":[0.000027582995,0.000049775834,0.00095596816,0.8099491,0.0013172592,0.0004516791,0.008821758,0.00009440714,0.00023307528,0.010981285,0.16706681,0.000051295097],"about_ca_topic_score_codex":0.008001829,"about_ca_topic_score_gemma":0.014434937,"teacher_disagreement_score":0.9968238,"about_ca_system_score_codex":0.009355343,"about_ca_system_score_gemma":0.044071715,"threshold_uncertainty_score":0.5381855},"labels":[],"label_agreement":null},{"id":"W4402922859","doi":"10.3390/covid4100108","title":"A Social Determinants Perspective on Adolescent Mental Health during the COVID-19 Pandemic","year":2024,"lang":"en","type":"article","venue":"COVID","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; University of Alberta; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Women and Children's Health Research Institute","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Perspective (graphical); Mental health; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychology; Virology; Psychiatry; Medicine; Computer science; Outbreak; Infectious disease (medical specialty)","score_opus":0.1304413773229782,"score_gpt":0.5001131233974956,"score_spread":0.36967174607451736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402922859","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":[0.88272136,0.008541882,0.0012071993,0.05847444,0.00034607327,0.00008757482,0.00017825814,0.00001375817,0.048429437],"genre_scores_gemma":[0.9952177,0.0025604798,0.00024148397,0.0008838998,0.000041425435,0.00001708286,0.000023643806,0.000004311491,0.0010099431],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99818426,0.00094846066,0.000025357784,0.00008669827,0.0001418055,0.0006134237],"domain_scores_gemma":[0.9984195,0.00044188445,0.00019752441,0.000031738913,0.00015504356,0.00075422996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002287281,0.00035278755,0.00028949272,0.001279288,0.007828445,0.005095777,0.0007592374,0.0010166154,0.0015710779],"category_scores_gemma":[0.0017554841,0.00022324176,0.00046950768,0.0008297256,0.011117199,0.0020295628,0.005078709,0.0032964041,0.00006539114],"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":[0.000028562403,0.00019647724,0.1868986,0.00018082352,0.000044066306,0.0018869507,0.67042625,0.0005668553,0.00057215145,0.111671194,0.003866821,0.023661152],"study_design_scores_gemma":[0.0000080064965,0.000069378955,0.118637145,0.00068223884,0.000046266712,0.00061185186,0.8308059,0.00048861373,0.00018123825,0.012264867,0.036173366,0.000031152307],"about_ca_topic_score_codex":0.45908266,"about_ca_topic_score_gemma":0.66361696,"teacher_disagreement_score":0.45908266,"about_ca_system_score_codex":0.019074082,"about_ca_system_score_gemma":0.025978783,"threshold_uncertainty_score":0.912821},"labels":[],"label_agreement":null},{"id":"W4402986508","doi":"10.3390/covid4100111","title":"Evaluating the Impact of Climate and Early Pandemic Policies on COVID-19 Transmission: A Case Study Approach","year":2024,"lang":"en","type":"article","venue":"COVID","topic":"Climate Change and Health Impacts","field":"Environmental Science","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 Ottawa","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Transmission (telecommunications); Geography; Virology; Medicine; Computer science; Outbreak; Disease","score_opus":0.2722343410046814,"score_gpt":0.49008545759157046,"score_spread":0.21785111658688905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402986508","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":[0.9685551,0.0012484803,0.007413562,0.001943062,0.000103608465,0.0010757452,0.0013170833,0.000029665332,0.018313637],"genre_scores_gemma":[0.9862322,0.0012344777,0.008483567,0.00023005712,0.000049514583,0.0006263335,0.0003166648,0.000011350838,0.0028158962],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9965475,0.0024232008,0.00010855511,0.0001855494,0.00024316781,0.00049202685],"domain_scores_gemma":[0.9919818,0.0059950654,0.0007964729,0.00029566506,0.00062751543,0.00030340944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044177826,0.00080021966,0.0006583981,0.0016469196,0.0014925901,0.002281994,0.0012334255,0.0026568763,0.004078272],"category_scores_gemma":[0.005681773,0.00036452909,0.0017542244,0.0016958339,0.0010287439,0.0017081406,0.0016199189,0.0020062337,0.00031444666],"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":[0.0030600554,0.019516094,0.29710752,0.0036299727,0.0022487491,0.028281236,0.0100602,0.40841463,0.008768585,0.12423126,0.016750706,0.07793096],"study_design_scores_gemma":[0.0017188875,0.013346919,0.19523764,0.0015988641,0.0023557195,0.003067232,0.098375775,0.57503426,0.011682239,0.048454743,0.048515063,0.0006126542],"about_ca_topic_score_codex":0.02982858,"about_ca_topic_score_gemma":0.039631553,"teacher_disagreement_score":0.02982858,"about_ca_system_score_codex":0.0045253825,"about_ca_system_score_gemma":0.0033346196,"threshold_uncertainty_score":0.0593099},"labels":[],"label_agreement":null},{"id":"W4403512776","doi":"10.3390/covid4100114","title":"Tracking the Trajectory and Predictors of Peritraumatic Distress among Chinese Migrants in Canada across the Three Years of the COVID-19 Pandemic","year":2024,"lang":"en","type":"article","venue":"COVID","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Public Health Ontario; University of Toronto","funders":"University of Toronto Mississauga; University of Toronto","keywords":"Pandemic; Mental health; Worry; Distress; Medicine; Coronavirus disease 2019 (COVID-19); Demography; Population; Multilevel model; China; Gerontology; Psychology; Environmental health; Psychiatry; Anxiety; Clinical psychology; Disease; Geography","score_opus":0.053959050972659316,"score_gpt":0.37849123245315075,"score_spread":0.32453218148049146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403512776","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":[0.9992144,0.00007632253,0.000024316823,0.00008291127,0.000002589022,0.000011360756,0.0003453001,0.0000016112732,0.00024112785],"genre_scores_gemma":[0.99889874,0.0001495079,0.00007976812,0.00003378007,0.0000021989636,0.000018106657,0.00045221986,9.651272e-7,0.00036478078],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997217,0.000021824464,0.000014521958,0.00004072718,0.000047626843,0.00015352815],"domain_scores_gemma":[0.99913764,0.000037259204,0.00022102764,0.000027756872,0.00025559237,0.0003206067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047988052,0.000342394,0.00019511222,0.0011015948,0.002013744,0.0007434162,0.0006406151,0.00035895966,0.00089446525],"category_scores_gemma":[0.0011617938,0.0001944466,0.00042428053,0.0017263136,0.00046479728,0.00036632858,0.0012250977,0.0006455062,0.00012455],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040484178,0.000016318058,0.9954053,0.000010492832,0.000009985231,0.00005695263,0.0014455752,0.000047131038,0.00014038225,0.00003206764,0.00018854681,0.0026068783],"study_design_scores_gemma":[0.0000012400674,0.000016604517,0.9952172,0.0000123815835,0.0000062532354,0.000018138824,0.0043171197,0.0001366462,0.00003856364,0.000010563758,0.0002197436,0.0000055935197],"about_ca_topic_score_codex":0.92132217,"about_ca_topic_score_gemma":0.9626192,"teacher_disagreement_score":0.07867783,"about_ca_system_score_codex":0.0071129743,"about_ca_system_score_gemma":0.011518488,"threshold_uncertainty_score":0.15828234},"labels":[],"label_agreement":null},{"id":"W4404567177","doi":"10.3390/covid4110127","title":"Impact of Underlying Chronic Medical Conditions on COVID-19 Outcomes Among People Living with HIV: A Retrospective Analysis from the Minnesota Fairview Network","year":2024,"lang":"en","type":"article","venue":"COVID","topic":"COVID-19 Clinical Research Studies","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":"University of Toronto","funders":"National Center for Advancing Translational Sciences; National Institutes of Health","keywords":"Medicine; Kidney disease; Logistic regression; Diabetes mellitus; Retrospective cohort study; Medical record; Disease; Stroke (engine); Psychological intervention; Coronavirus disease 2019 (COVID-19); Type 2 diabetes; Pandemic; Internal medicine; Public health; Gerontology; Psychiatry; Infectious disease (medical specialty); Pathology","score_opus":0.06369505013157968,"score_gpt":0.4591069616692549,"score_spread":0.39541191153767524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404567177","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":[0.9968804,0.00033505887,0.00009163682,0.000051195922,0.0000065830186,0.000027237053,0.0022447833,0.000002197467,0.00036090752],"genre_scores_gemma":[0.99803084,0.00014303261,0.00009834904,0.000045608234,0.000007845111,0.000021968277,0.0015547661,0.000001313688,0.00009622061],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993393,0.0001303062,0.00011237885,0.00016959965,0.00015493897,0.000093466944],"domain_scores_gemma":[0.99846554,0.00015704767,0.0007491548,0.00016817935,0.00019489192,0.0002652667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009683657,0.00019975216,0.00022592864,0.0009118666,0.0006144292,0.0005824504,0.00040815107,0.0002483319,0.0009009556],"category_scores_gemma":[0.0018418885,0.00021322559,0.00038261293,0.0012285273,0.00029649425,0.00041213012,0.0007860036,0.0004081793,0.000102242506],"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":[0.0000134042875,0.000004552332,0.9995363,0.000006293954,0.00001699254,0.000018159799,0.000049322512,0.00000871867,0.000026105607,0.000005164966,0.00007127982,0.00024385104],"study_design_scores_gemma":[0.000001133412,0.000018968603,0.9994481,0.000010186175,0.0000140268185,0.0000787712,0.00020532447,0.000054730248,0.000019144267,0.0000037480993,0.00014412666,0.0000016675672],"about_ca_topic_score_codex":0.06681953,"about_ca_topic_score_gemma":0.10653313,"teacher_disagreement_score":0.06681953,"about_ca_system_score_codex":0.00084263587,"about_ca_system_score_gemma":0.0008386352,"threshold_uncertainty_score":0.13286126},"labels":[],"label_agreement":null},{"id":"W4404717964","doi":"10.3390/covid4120131","title":"Adverse Childhood Experiences and Vulnerability to Mood and Anxiety Disorders During the COVID-19 Pandemic","year":2024,"lang":"en","type":"article","venue":"COVID","topic":"Child and Adolescent Psychosocial and Emotional Development","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Anxiety; Vulnerability (computing); Mood; Adverse Childhood Experiences; Psychology; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychiatry; Mood disorders; Clinical psychology; Medicine; Virology; Mental health; Computer security; Disease; Internal medicine; Infectious disease (medical specialty); Computer science","score_opus":0.020820788673560287,"score_gpt":0.31254712569574317,"score_spread":0.29172633702218287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404717964","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":[0.9980235,0.0004367111,0.000027593134,0.00019402859,0.000008586592,0.000013205599,0.0002558402,0.0000014407927,0.0010391448],"genre_scores_gemma":[0.9988919,0.0006271308,0.000052273204,0.000039243267,0.000007806454,0.000010889692,0.00019129865,0.0000012879783,0.00017821594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993742,0.00012397951,0.000028921306,0.00005981049,0.00010810097,0.00030500576],"domain_scores_gemma":[0.9988243,0.00013816582,0.00047680235,0.0000450591,0.00013249001,0.00038320693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006368139,0.00021896491,0.00025529883,0.00076711987,0.0013621703,0.0010269402,0.00037795413,0.0003849873,0.0016800234],"category_scores_gemma":[0.0030382008,0.00030656648,0.0004434953,0.0007766781,0.0005152743,0.000517216,0.0016432578,0.0011041947,0.000107503234],"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":[0.000034002736,0.000032909913,0.99573356,0.000013121055,0.000034976336,0.00012542887,0.0012150389,0.000056612374,0.00008520322,0.00007822849,0.00019964136,0.0023912566],"study_design_scores_gemma":[5.7224395e-7,0.000014328573,0.9981123,0.000018599403,0.0000057365173,0.00008423467,0.0015335842,0.00002847643,0.000013918424,0.000017328122,0.00016810013,0.0000028110667],"about_ca_topic_score_codex":0.20841399,"about_ca_topic_score_gemma":0.37015226,"teacher_disagreement_score":0.20841399,"about_ca_system_score_codex":0.0018994967,"about_ca_system_score_gemma":0.0020052,"threshold_uncertainty_score":0.41440177},"labels":[],"label_agreement":null},{"id":"W4405737732","doi":"10.3390/covid5010002","title":"Impact of Metabolic States on SARS-CoV-2 Vaccine Responses in Mouse Models of Obesity and Diabetes","year":2024,"lang":"en","type":"article","venue":"COVID","topic":"COVID-19 Clinical Research Studies","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":"Acuitas Therapeutics (Canada)","funders":"National Institute of Allergy and Infectious Diseases; Victoria S. and Bradley L. Geist Foundation; Hawaii Community Foundation","keywords":"Immunogenicity; Immune system; Immunology; Vaccination; Medicine; Diabetes mellitus; Obesity; Vaccine efficacy; Immunity; Population; Type 2 diabetes; Glycemic; Internal medicine; Endocrinology; Environmental health","score_opus":0.08590419669982653,"score_gpt":0.45929448746254514,"score_spread":0.3733902907627186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405737732","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":[0.98698634,0.0025976913,0.004564896,0.000539309,0.00023144913,0.00017534442,0.0019036507,0.00016179062,0.0028395734],"genre_scores_gemma":[0.9833982,0.003156657,0.0051299483,0.0006395326,0.000070253474,0.0005748829,0.0020635517,0.00007217978,0.004894816],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994729,0.0001057306,0.00006086427,0.00010914719,0.00010988498,0.00014152892],"domain_scores_gemma":[0.99972504,0.000030442176,0.00009992692,0.000025891535,0.000031652744,0.00008707963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058059697,0.0008252658,0.00048788244,0.0007818435,0.0002047994,0.0004762886,0.00022267608,0.00071978534,0.0016049417],"category_scores_gemma":[0.000234024,0.00031580884,0.0006235502,0.00029686055,0.00040987623,0.00053049537,0.00029161767,0.002850922,0.0003498189],"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":[0.003481169,0.00084610924,0.0021184175,0.0002611681,0.000048362363,0.00013306584,0.00008172189,0.00041071663,0.9868427,0.000305691,0.00025508896,0.005215719],"study_design_scores_gemma":[0.00051225617,0.014269542,0.042267527,0.0001941409,0.00041506166,0.000901677,0.0004892753,0.0061278963,0.92404324,0.0007492945,0.0099501815,0.00007992504],"about_ca_topic_score_codex":0.00045643596,"about_ca_topic_score_gemma":0.00077168393,"teacher_disagreement_score":0.0016049417,"about_ca_system_score_codex":0.00032057505,"about_ca_system_score_gemma":0.00027111403,"threshold_uncertainty_score":0.005369067},"labels":[],"label_agreement":null},{"id":"W4406525832","doi":"10.3390/covid5010012","title":"The Disappearance of COVID-19 Data Dashboards: The Case of Ephemeral Data","year":2025,"lang":"en","type":"article","venue":"COVID","topic":"Data-Driven Disease Surveillance","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":"Western University","funders":"National Institute of Advanced Industrial Science and Technology; National Aeronautics and Space Administration","keywords":"Ephemeral key; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Computer science; Pandemic; Data science; Geography; Biology; Computer security; Virology; Medicine; Outbreak","score_opus":0.08474136929157326,"score_gpt":0.41936001447980403,"score_spread":0.33461864518823076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406525832","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17021018,0.16149157,0.24593833,0.20071596,0.011295056,0.0015364937,0.022339521,0.008457888,0.1780151],"genre_scores_gemma":[0.63863087,0.085061714,0.2123838,0.0290896,0.004183638,0.0012481427,0.013103897,0.003576142,0.012722224],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9554304,0.0205237,0.0063806274,0.0039253524,0.012455818,0.0012841604],"domain_scores_gemma":[0.6996744,0.20588987,0.019528154,0.031920377,0.04002382,0.0029633602],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04830445,0.0008186089,0.0009975871,0.00872044,0.0016955473,0.014373963,0.0024877423,0.0021354193,0.0042810347],"category_scores_gemma":[0.18398656,0.0010043087,0.0018731715,0.013335334,0.00443773,0.022007547,0.0049590203,0.005811413,0.0014068834],"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":[0.00034441636,0.000109428096,0.046292443,0.011159591,0.00044359275,0.0011752899,0.01634384,0.003720488,0.002203593,0.14346634,0.14005858,0.6346824],"study_design_scores_gemma":[0.00003173452,0.0001237876,0.017926686,0.008371412,0.00016499906,0.0011273682,0.009035518,0.003792341,0.002998138,0.023946244,0.9323027,0.00017914065],"about_ca_topic_score_codex":0.009587702,"about_ca_topic_score_gemma":0.010981591,"teacher_disagreement_score":0.95169556,"about_ca_system_score_codex":0.0033590675,"about_ca_system_score_gemma":0.0043344377,"threshold_uncertainty_score":0.2554614},"labels":[],"label_agreement":null},{"id":"W4406875385","doi":"10.3390/covid5020013","title":"The Effects of the COVID-19 Pandemic on Family Violence: A Meta-Analytical Investigation","year":2025,"lang":"en","type":"article","venue":"COVID","topic":"Intimate Partner and Family Violence","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":"Institut national de psychiatrie légale Philippe-Pinel; Université de Montréal; Institut Universitaire en Santé Mentale de Québec","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Meta-analysis; Virology; Medicine; Outbreak; Internal medicine","score_opus":0.09476732687766987,"score_gpt":0.393345289591332,"score_spread":0.29857796271366216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406875385","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0154047245,0.981805,0.0009165699,0.00035045494,0.00021823107,0.00018290422,0.0007191911,0.000036466,0.00036639796],"genre_scores_gemma":[0.48320785,0.50867313,0.0031790822,0.0015618382,0.0004628037,0.00090968126,0.0013861263,0.00006249826,0.00055709615],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99136716,0.0043021617,0.0021414415,0.001071375,0.0007144434,0.00040341716],"domain_scores_gemma":[0.9740331,0.020456297,0.0026641,0.0012208718,0.0013249607,0.00030065942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0144303795,0.0024256574,0.011146637,0.0047978414,0.00074362423,0.0032475945,0.0020165462,0.0024049138,0.0035290145],"category_scores_gemma":[0.033801768,0.0014716997,0.049291536,0.005464901,0.0005888658,0.0014538503,0.0015542464,0.002151894,0.00031910196],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002563032,0.000037039856,0.015056838,0.10810038,0.8655063,0.00014418644,0.000070161375,0.0005370909,0.00018685253,0.00012795304,0.00042764735,0.007242566],"study_design_scores_gemma":[0.00028776543,0.00022803927,0.0083626015,0.0069091544,0.98264426,0.00009269911,0.000042308926,0.00018880903,0.000100465826,0.00014593288,0.0009821719,0.000015879456],"about_ca_topic_score_codex":0.008387506,"about_ca_topic_score_gemma":0.014436795,"teacher_disagreement_score":0.0144303795,"about_ca_system_score_codex":0.0019040203,"about_ca_system_score_gemma":0.0025162164,"threshold_uncertainty_score":0.076316},"labels":[],"label_agreement":null},{"id":"W4408054841","doi":"10.3390/covid5030033","title":"COVID-19 Stigma and Resource Loss: Predicting Post-Traumatic Stress and Vaccine Support in Vietnam","year":2025,"lang":"en","type":"article","venue":"COVID","topic":"Migration, Health and Trauma","field":"Psychology","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":"Kwantlen Polytechnic University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Stigma (botany); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Traumatic stress; Psychology; Virology; Medicine; Clinical psychology; Psychiatry; Internal medicine; Infectious disease (medical specialty); Outbreak","score_opus":0.021230778997642048,"score_gpt":0.3469755035581337,"score_spread":0.3257447245604917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408054841","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":[0.9995664,0.00003993103,0.000014189943,0.000095032345,0.0000024186443,0.0000034606087,0.000012240128,2.6475612e-7,0.0002661339],"genre_scores_gemma":[0.9997832,0.000058334957,0.000014446518,0.000019582913,0.000002607489,0.0000027584654,0.00001724526,2.1652505e-7,0.00010156823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999736,0.000117249714,0.00001592674,0.000015617632,0.00003654892,0.000078529454],"domain_scores_gemma":[0.9982146,0.00039307927,0.0006995671,0.000046292895,0.00014188908,0.00050459726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005856926,0.00012469331,0.000117971154,0.0003098096,0.0006420938,0.0006437681,0.00017135982,0.00023535271,0.0018132161],"category_scores_gemma":[0.003058058,0.0001653739,0.00018254093,0.00021831678,0.0005144373,0.0002664875,0.0005584738,0.0005541323,0.00008348434],"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":[0.00005036156,0.00018244925,0.99285674,0.000014586955,0.000025417501,0.00007905392,0.003019212,0.000055393648,0.00010845498,0.000059398455,0.00016330984,0.0033856034],"study_design_scores_gemma":[0.000004420469,0.00011663596,0.986565,0.000027486096,0.000008163709,0.00011576582,0.012437154,0.00026446898,0.000066349254,0.000082326325,0.000308115,0.000004220769],"about_ca_topic_score_codex":0.016254738,"about_ca_topic_score_gemma":0.017583743,"teacher_disagreement_score":0.016254738,"about_ca_system_score_codex":0.0005824563,"about_ca_system_score_gemma":0.00079167366,"threshold_uncertainty_score":0.0323202},"labels":[],"label_agreement":null},{"id":"W4408784582","doi":"10.3390/covid5040045","title":"“Black People Listen to Black People”: Strategies to Improve COVID-19 Vaccine Confidence Among Black People Living in Canada","year":2025,"lang":"en","type":"article","venue":"COVID","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; Memorial University of Newfoundland; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Medicine; Virology; Outbreak","score_opus":0.013529061676086158,"score_gpt":0.29601555015898756,"score_spread":0.2824864884829014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408784582","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":[0.7943374,0.005185431,0.002682181,0.15193513,0.0011070784,0.001090549,0.00029733905,0.00014236108,0.043222662],"genre_scores_gemma":[0.96777034,0.0035221842,0.0050478564,0.015115217,0.00010155945,0.00047691225,0.00013912705,0.000035507128,0.007791381],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9964761,0.0011749135,0.00005460685,0.00015392253,0.00055811077,0.0015823003],"domain_scores_gemma":[0.99192226,0.00071035826,0.0005910626,0.00012167732,0.0016688191,0.0049858075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059101526,0.0005128214,0.00045201156,0.0010009005,0.023418538,0.0032839084,0.0024274485,0.0013860613,0.0059231687],"category_scores_gemma":[0.010704205,0.0003199717,0.0005231864,0.0006743891,0.004682822,0.0016936325,0.007110779,0.002893758,0.00036230034],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002998147,0.00082867476,0.12371337,0.0014354911,0.00009516095,0.0014154474,0.48379967,0.00034042815,0.0031086996,0.0047569475,0.07952427,0.30068213],"study_design_scores_gemma":[0.00009690673,0.0003798324,0.11622082,0.0024201006,0.00014291624,0.00027420805,0.7651683,0.0005775795,0.0010689524,0.0028542117,0.11064896,0.0001471799],"about_ca_topic_score_codex":0.89424866,"about_ca_topic_score_gemma":0.95294446,"teacher_disagreement_score":0.105751336,"about_ca_system_score_codex":0.029516865,"about_ca_system_score_gemma":0.13981813,"threshold_uncertainty_score":0.2141608},"labels":[],"label_agreement":null},{"id":"W4409684093","doi":"10.3390/covid5050061","title":"Scoping Review of Peer-Reviewed Research Regarding Oncologist COVID-19 Redeployment to Emergency Care: The Emergency, Burnout, Patient Outcome, and Coping","year":2025,"lang":"en","type":"article","venue":"COVID","topic":"COVID-19 and healthcare impacts","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 Toronto","funders":"","keywords":"Burnout; Coronavirus disease 2019 (COVID-19); Coping (psychology); Medicine; 2019-20 coronavirus outbreak; Peer review; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Emergency department; Medical emergency; Psychology; Nursing; Internal medicine; Clinical psychology; Virology; Infectious disease (medical specialty); Outbreak; Disease","score_opus":0.2517882314353497,"score_gpt":0.5631992999428135,"score_spread":0.3114110685074638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409684093","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023369638,0.95778066,0.0024125546,0.0059626484,0.0033515054,0.011204884,0.0065596923,0.00014229627,0.010248743],"genre_scores_gemma":[0.01458055,0.95799583,0.004815938,0.0024590357,0.0007808958,0.013815182,0.0035000443,0.00010166416,0.0019509015],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9306214,0.01913089,0.031207971,0.0026328915,0.01530674,0.0011001446],"domain_scores_gemma":[0.7389977,0.15832679,0.043804605,0.007258149,0.04972757,0.001885222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.055239987,0.0021025816,0.007889868,0.046808347,0.0031942846,0.010763096,0.004177058,0.0053805294,0.020358453],"category_scores_gemma":[0.2212269,0.0019995254,0.0071656574,0.046407968,0.0033422667,0.007231921,0.0056353156,0.0025726294,0.004616209],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084303,0.000032277694,0.00077073654,0.908823,0.0015804259,0.00018642498,0.0013313851,0.00007684012,0.00025234462,0.00112234,0.01555885,0.07018113],"study_design_scores_gemma":[0.000030519455,0.000034046167,0.0013520692,0.95820737,0.0022354145,0.00010147484,0.0005469831,0.000025075573,0.0001182974,0.00038724247,0.036942665,0.000018705929],"about_ca_topic_score_codex":0.008274157,"about_ca_topic_score_gemma":0.01772874,"teacher_disagreement_score":0.055239987,"about_ca_system_score_codex":0.009722937,"about_ca_system_score_gemma":0.050212067,"threshold_uncertainty_score":0.29214048},"labels":[],"label_agreement":null},{"id":"W4409817214","doi":"10.3390/covid5050062","title":"Multi-Stakeholder Perspectives on COVID-19 Vaccine Acceptance: A Qualitative Study from African, Caribbean, and Black Communities in Ottawa, Ontario, Canada","year":2025,"lang":"en","type":"article","venue":"COVID","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ottawa Public Health; Regent Park Community Health Centre; AIDS Committee of Toronto; Toronto Metropolitan University; University of Ottawa","funders":"Public Health Agency of Canada","keywords":"Coronavirus disease 2019 (COVID-19); Stakeholder; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Qualitative research; Geography; Political science; Sociology; Virology; Medicine; Social science; Public relations","score_opus":0.0778256015570686,"score_gpt":0.3673367809765554,"score_spread":0.28951117941948684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409817214","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":[0.98991287,0.00074881007,0.0003372214,0.0030559113,0.000041564093,0.00014139604,0.00015257692,0.000005874507,0.0056037274],"genre_scores_gemma":[0.9955592,0.00070391665,0.00025933396,0.0009225509,0.00000891779,0.00011980502,0.000046767833,0.000011958248,0.0023675552],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99241453,0.0037931947,0.00020522553,0.00039235142,0.00073180476,0.0024627955],"domain_scores_gemma":[0.9855428,0.0077658114,0.0008501407,0.00021154815,0.0021839137,0.0034458246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009074981,0.0006115702,0.00090432784,0.001728092,0.029713096,0.0054397215,0.0019684827,0.001552382,0.00318116],"category_scores_gemma":[0.010944284,0.0006531734,0.00040706948,0.0025635045,0.013283959,0.0023899237,0.0074434285,0.0028879712,0.00015690333],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016684371,0.000013120115,0.0030225648,0.000049564544,0.0000025218599,0.0003081684,0.9947359,0.000015676611,0.00024043524,0.00027601837,0.00023243521,0.0010868559],"study_design_scores_gemma":[0.0000010589415,0.000007680002,0.0014424594,0.00006240872,0.0000021457938,0.000027614793,0.9961404,0.000015186304,0.00004618776,0.000029677247,0.002219459,0.000005737789],"about_ca_topic_score_codex":0.91362077,"about_ca_topic_score_gemma":0.95583797,"teacher_disagreement_score":0.08637923,"about_ca_system_score_codex":0.04834626,"about_ca_system_score_gemma":0.0671869,"threshold_uncertainty_score":0.35077828},"labels":[],"label_agreement":null},{"id":"W4412819968","doi":"10.3390/covid5080123","title":"SARS-CoV-2 and HCoV IgG Antibodies in the Breast Milk of a Postpartum SARS-CoV-2 Patient Following Bamlanivimab Administration: A Case Report","year":2025,"lang":"en","type":"article","venue":"COVID","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Centre for Disease Control; Surrey Memorial Hospital; Fraser Health; Women's Health Research Institute; University of British Columbia","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Coronavirus disease 2019 (COVID-19); Antibody; Medicine; Breast milk; 2019-20 coronavirus outbreak; Coronavirus; Severe acute respiratory syndrome coronavirus; Immunology; Biology; Internal medicine; Outbreak; Infectious disease (medical specialty)","score_opus":0.03865695087590321,"score_gpt":0.36638153847821525,"score_spread":0.32772458760231205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412819968","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":[0.9924353,0.002130761,0.0010182179,0.001279965,0.00011861321,0.00011048019,0.00018522183,0.000083120736,0.0026383086],"genre_scores_gemma":[0.99620265,0.0012769169,0.00065098796,0.0005924662,0.00024332765,0.000021687121,0.00009826367,0.000018152405,0.0008955004],"study_design_codex":"case_report","study_design_gemma":"case_report","domain_scores_codex":[0.9994103,0.00007226806,0.000060560367,0.00015713304,0.000110334026,0.00018955],"domain_scores_gemma":[0.9990387,0.00026550173,0.00024386543,0.00007464478,0.000081961705,0.00029539876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033828677,0.0012874294,0.0011911228,0.0017143389,0.0015680604,0.001419199,0.0008403819,0.0037301038,0.0012763378],"category_scores_gemma":[0.00216096,0.0011391226,0.0010599252,0.00089003204,0.0010659675,0.0012167809,0.0011812921,0.0025093774,0.00059201807],"study_design_candidate":"case_report","study_design_consensus":"case_report","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113918286,0.000059189544,0.010376514,0.00003578665,0.000011008803,0.9860247,0.00041080004,0.000042389052,0.0015078695,0.00004985462,0.00017165212,0.0011963386],"study_design_scores_gemma":[0.000015806609,0.00032154264,0.013284638,0.000031747197,0.000033711087,0.98331326,0.00045079994,0.00037299388,0.0014596205,0.00008261269,0.00061439426,0.000018924045],"about_ca_topic_score_codex":0.004081075,"about_ca_topic_score_gemma":0.0030354992,"teacher_disagreement_score":0.004081075,"about_ca_system_score_codex":0.0013860118,"about_ca_system_score_gemma":0.00064829167,"threshold_uncertainty_score":0.010056317},"labels":[],"label_agreement":null},{"id":"W4413063214","doi":"10.3390/covid5070111","title":"Fear of Dying and Catastrophic Thinking Are Associated with More Severe Post-Traumatic Stress Symptoms Following COVID-19 Infection","year":2025,"lang":"en","type":"article","venue":"COVID","topic":"Posttraumatic Stress Disorder Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canada Research Chairs","keywords":"Coronavirus disease 2019 (COVID-19); Psychosocial; Causality (physics); Medicine; Illness severity; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychological intervention; Clinical psychology; Psychiatry; Severity of illness; 2019-20 coronavirus outbreak; Psychology; Disease; Internal medicine; Outbreak; Virology","score_opus":0.04001660092656561,"score_gpt":0.36932965296091463,"score_spread":0.329313052034349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413063214","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":[0.9996785,0.000053365413,0.000024526245,0.00003429542,0.0000030838778,0.0000039148395,0.0000145710765,5.3345207e-7,0.00018727423],"genre_scores_gemma":[0.9998136,0.000058859296,0.000028221802,0.0000141261635,0.0000056801186,0.000002534525,0.000025716885,2.394904e-7,0.000050889434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996711,0.000104089195,0.000040059604,0.000031037547,0.00006645102,0.00008719251],"domain_scores_gemma":[0.9970607,0.00044751275,0.00177674,0.00010321363,0.00015219038,0.00045968167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004912817,0.0001994144,0.0002124514,0.00048069571,0.00046687474,0.00049407716,0.00016329988,0.00027991086,0.002027285],"category_scores_gemma":[0.005135604,0.00017698259,0.0003136359,0.0002546,0.0004145192,0.00036750772,0.00064008177,0.0008188202,0.00009868449],"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":[0.00008542002,0.000092514274,0.9957456,0.000019105131,0.000033380504,0.00014403394,0.0006849985,0.000040094168,0.00030589616,0.00002826678,0.000069906004,0.0027507497],"study_design_scores_gemma":[0.0000013948776,0.000050723862,0.9989404,0.000008027303,0.000004428593,0.00017849368,0.00066553475,0.000054793603,0.000026710484,0.000032118736,0.00003448395,0.0000028245584],"about_ca_topic_score_codex":0.0018867045,"about_ca_topic_score_gemma":0.0032686454,"teacher_disagreement_score":0.002027285,"about_ca_system_score_codex":0.00023196028,"about_ca_system_score_gemma":0.00032476915,"threshold_uncertainty_score":0.006781876},"labels":[],"label_agreement":null},{"id":"W4414295434","doi":"10.3390/covid5090157","title":"The Impact of the COVID-19 Pandemic on Care Aides’ Job Satisfaction in Long-Term Care Facilities in Northern British Columbia: A Qualitative Study","year":2025,"lang":"en","type":"article","venue":"COVID","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","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":"University of Northern British Columbia","funders":"","keywords":"Staffing; Pandemic; Thematic analysis; Mental health; Job satisfaction; Stressor; Health care; Qualitative research; Mental health care","score_opus":0.054564593751500176,"score_gpt":0.45847605608844016,"score_spread":0.40391146233694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414295434","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":[0.99622405,0.00028408182,0.00016481787,0.0006989352,0.000020026087,0.000057946247,0.00010462064,0.000004087003,0.0024413515],"genre_scores_gemma":[0.9972337,0.00033085796,0.00017763171,0.00041658807,0.0000063534203,0.0000864622,0.000043468874,0.0000061318096,0.0016988664],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99691975,0.0016855071,0.00007395657,0.00017846267,0.00025419678,0.0008881207],"domain_scores_gemma":[0.9937605,0.0034137524,0.00040892328,0.00014061738,0.0010161403,0.0012599062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003848877,0.0003437105,0.00059581606,0.0010231326,0.0110855345,0.0030148549,0.0012644912,0.00091133727,0.0026718164],"category_scores_gemma":[0.0050147027,0.00039928674,0.00023791731,0.001605236,0.0056836186,0.0011019228,0.0026526696,0.0019455345,0.0001932047],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034442564,0.000053680982,0.012847602,0.00015251189,0.0000061303117,0.0010543813,0.9799749,0.000043775926,0.00060865487,0.00027190047,0.0010553923,0.0038966613],"study_design_scores_gemma":[0.0000011768481,0.000016261558,0.006094762,0.00006822699,0.0000015833972,0.000054525506,0.9916694,0.00002899677,0.00004708019,0.000018805415,0.001993284,0.0000058846053],"about_ca_topic_score_codex":0.42634425,"about_ca_topic_score_gemma":0.61148554,"teacher_disagreement_score":0.5736557,"about_ca_system_score_codex":0.0147409635,"about_ca_system_score_gemma":0.013755673,"threshold_uncertainty_score":0.8477253},"labels":[],"label_agreement":null},{"id":"W4415815435","doi":"10.3390/covid5110188","title":"COVID-19 Post-Pandemic Adaptation and Resilience: A Cross-Cultural Study of China and Canada","year":2025,"lang":"en","type":"article","venue":"COVID","topic":"Cultural Differences and Values","field":"Psychology","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":"University of Toronto; Trent University; The Scarborough Hospital","funders":"","keywords":"Collectivism; Psychological resilience; Coping (psychology); Individualism; China; Adaptation (eye); Cognition; Cultural diversity","score_opus":0.06945080593083382,"score_gpt":0.41655309428708936,"score_spread":0.34710228835625556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415815435","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":[0.9991129,0.000099571495,0.00002856087,0.00012544116,0.0000041991025,0.00001583359,0.00006550211,8.256711e-7,0.0005471241],"genre_scores_gemma":[0.9989512,0.00023320991,0.000094147,0.00011836799,0.0000022623558,0.00001765284,0.000111033565,0.0000029739183,0.00046901897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905306,0.00013899051,0.00003859163,0.00013731097,0.00017410204,0.0004579416],"domain_scores_gemma":[0.99812156,0.00024069559,0.00025769434,0.00008825947,0.0005964914,0.0006952634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016489901,0.00047629408,0.00053123897,0.0013000786,0.009419056,0.0017504367,0.000930661,0.0004745086,0.00131772],"category_scores_gemma":[0.002686614,0.00033817827,0.00050410355,0.0030781487,0.0024145884,0.0006849882,0.0024363792,0.0011540888,0.000100297475],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012361702,0.00024559998,0.78231454,0.00008287588,0.00008503977,0.0006314532,0.19906262,0.0001171135,0.00073685223,0.00064083154,0.0010456116,0.014913791],"study_design_scores_gemma":[0.000007551416,0.000081620965,0.7976271,0.00008580717,0.000037367554,0.000120698394,0.19939165,0.00019456071,0.00015486013,0.00009074182,0.002162223,0.000045895027],"about_ca_topic_score_codex":0.98210907,"about_ca_topic_score_gemma":0.9924914,"teacher_disagreement_score":0.025549069,"about_ca_system_score_codex":0.025549069,"about_ca_system_score_gemma":0.042252924,"threshold_uncertainty_score":0.18537235},"labels":[],"label_agreement":null},{"id":"W4416765245","doi":"10.3390/covid5120195","title":"The Class Gap in Pandemic Attitudes and Experiences","year":2025,"lang":"en","type":"article","venue":"COVID","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Government of Canada","keywords":"Pandemic; Opposition (politics); Government (linguistics); Coronavirus disease 2019 (COVID-19); Social distance; World class; Social class; Public health","score_opus":0.03453005431295252,"score_gpt":0.3628778996422488,"score_spread":0.3283478453292963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416765245","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":[0.9928068,0.00017178274,0.00006767332,0.0005738534,0.000032881126,0.000014178362,0.00013739866,0.0000032661867,0.006192099],"genre_scores_gemma":[0.9988148,0.00013361919,0.000020548898,0.000095200994,0.000012052019,0.00001112703,0.000074805044,0.0000029622247,0.00083492015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99852353,0.00033264185,0.00009289933,0.00017949079,0.0002666281,0.0006048705],"domain_scores_gemma":[0.99708897,0.0011011834,0.00060685957,0.00013598104,0.00033582404,0.0007311905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015549695,0.00015975618,0.00031498735,0.0012783599,0.0017253277,0.002547394,0.00045769944,0.0005117135,0.008396926],"category_scores_gemma":[0.006065735,0.00022057627,0.0002696066,0.00080590195,0.0012607763,0.0024159832,0.0035613296,0.0010050865,0.0005580218],"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":[0.00035781975,0.00041013907,0.5226228,0.00016590915,0.00006515207,0.00057954225,0.42045504,0.00007240303,0.0013282654,0.0034884904,0.0024247242,0.04802968],"study_design_scores_gemma":[0.000010793638,0.00013806098,0.62756103,0.00013621678,0.00000900182,0.00024132535,0.36323768,0.00012758997,0.00016231806,0.00075314025,0.0075924527,0.000030413326],"about_ca_topic_score_codex":0.009501331,"about_ca_topic_score_gemma":0.009775204,"teacher_disagreement_score":0.009501331,"about_ca_system_score_codex":0.0010721142,"about_ca_system_score_gemma":0.00069504796,"threshold_uncertainty_score":0.028090537},"labels":[],"label_agreement":null}]}