{"meta":{"query_hash":"005e9e8badce","filters":{"venue":"Metabolic Syndrome and Related Disorders"},"cohort_total":64,"direct_labels_cover":1,"predictions_cover":64,"exported":64,"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/005e9e8badce","api":"https://metacan.xera.ac/api/v1/cohort?venue=Metabolic+Syndrome+and+Related+Disorders"},"results":[{"id":"W1443828353","doi":"10.1089/1540419031361417","title":"A Proposed New Paradigm for Insulin Resistance","year":2003,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Diet, Metabolism, and Disease","field":"Medicine","cited_by":10,"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":"Canadian Diabetes Association","keywords":"Endocrinology; Internal medicine; Medicine; Insulin resistance; Insulin; Postprandial; Hiss; Type 2 diabetes; Insulin oscillation; Blockade; Diabetes mellitus; Receptor","score_opus":0.008329457421784071,"score_gpt":0.2390617189913824,"score_spread":0.23073226156959833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1443828353","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":[0.023057878,0.08751091,0.07255756,0.6625429,0.022079973,0.00017048177,0.00025999706,0.00065898837,0.13116136],"genre_scores_gemma":[0.51124245,0.1259172,0.07393148,0.17626764,0.044332396,0.0012375277,0.000449,0.00019836464,0.06642404],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99861395,0.00047251116,0.000064550404,0.00039978774,0.00023561576,0.00021361049],"domain_scores_gemma":[0.99891067,0.00025163934,0.00010220081,0.0001399094,0.00021475526,0.0003808983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002550517,0.0008557588,0.0011044109,0.0013580214,0.0018166327,0.004652632,0.0023314517,0.0046637636,0.009188071],"category_scores_gemma":[0.0017126553,0.00025374553,0.0008804519,0.00050122733,0.010877458,0.008193747,0.0038539406,0.008101605,0.0019536149],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011270081,0.000088422086,0.00045569675,0.00021022698,0.000023467717,0.0007366551,0.00074784376,0.00021099806,0.0018808574,0.9490778,0.017276615,0.02917878],"study_design_scores_gemma":[0.000097495744,0.0002704065,0.00040066298,0.00017167868,0.00002121772,0.0020750116,0.00073353347,0.0007114184,0.0005004649,0.8093412,0.18563677,0.000040006027],"about_ca_topic_score_codex":0.00034675558,"about_ca_topic_score_gemma":0.0003768178,"teacher_disagreement_score":0.009188071,"about_ca_system_score_codex":0.0018389007,"about_ca_system_score_gemma":0.0025520169,"threshold_uncertainty_score":0.030737221},"labels":[],"label_agreement":null},{"id":"W1467239546","doi":"10.1089/met.2013.0111","title":"Obstructive Sleep Apnea and Heart Rate Variability in Male Patients with Metabolic Syndrome: Cross-Sectional Study","year":2013,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Internal medicine; Heart rate variability; Metabolic syndrome; Obstructive sleep apnea; Cardiology; Diabetes mellitus; Sleep apnea; Cross-sectional study; Apnea–hypopnea index; Heart rate; Apnea; Polysomnography; Blood pressure; Endocrinology; Obesity","score_opus":0.006829733272364952,"score_gpt":0.2507773882263568,"score_spread":0.24394765495399187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1467239546","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":[0.9992716,0.00022149706,0.00008735254,0.000018836767,0.00000831997,0.00001161012,0.00017114922,0.000002252913,0.00020736626],"genre_scores_gemma":[0.9994235,0.000098134595,0.000107300206,0.000039284605,0.000022414046,0.000015722902,0.00020518845,0.0000011557931,0.00008738084],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995091,0.00013915077,0.00006652833,0.000117095275,0.000107905114,0.00006018932],"domain_scores_gemma":[0.99886537,0.00023766761,0.0004411632,0.00009149456,0.00013354774,0.00023066619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007573377,0.00032441047,0.0005198021,0.00072780834,0.00043474152,0.00055641413,0.00025085078,0.000534567,0.0014721657],"category_scores_gemma":[0.0014005703,0.00046278836,0.0004957266,0.00078914146,0.00019699371,0.0005258519,0.00036492443,0.0005840768,0.00030867395],"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":[0.000060065344,0.000044893863,0.9992937,0.0000048268394,0.000050480387,0.000038072703,0.00003772242,0.0000065214213,0.00012815125,0.0000035625553,0.000019603904,0.0003122487],"study_design_scores_gemma":[0.000005434348,0.0001527122,0.9993598,0.0000021193741,0.000028488128,0.00023902666,0.000081983206,0.00005102672,0.0000210424,0.0000037269886,0.000052770134,0.0000019428187],"about_ca_topic_score_codex":0.0014240274,"about_ca_topic_score_gemma":0.0018523363,"teacher_disagreement_score":0.0014721657,"about_ca_system_score_codex":0.00013085411,"about_ca_system_score_gemma":0.00016753624,"threshold_uncertainty_score":0.0049248934},"labels":[],"label_agreement":null},{"id":"W1584036800","doi":"10.1089/met.2013.0107","title":"The Relationship Between Epicardial Fat and Indices of Obesity and the Metabolic Syndrome: A Systematic Review and Meta-Analysis","year":2013,"lang":"en","type":"review","venue":"Metabolic Syndrome and Related Disorders","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":199,"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":"Medicine; Metabolic syndrome; Internal medicine; Obesity; Adipose tissue; Waist; Body mass index; Abdominal obesity; Endocrinology; Epicardial adipose tissue; Blood pressure; Coronary artery disease; Cardiology","score_opus":0.03335684701156129,"score_gpt":0.2923618435300276,"score_spread":0.2590049965184663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584036800","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":[0.0067144274,0.991631,0.00042164992,0.00017375071,0.00008273801,0.00018874208,0.00055497827,0.000015529358,0.00021714864],"genre_scores_gemma":[0.17814846,0.8163286,0.0022127947,0.0007883024,0.00023478316,0.00096316054,0.0009798945,0.000021383887,0.0003227524],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99356776,0.0028373657,0.002043673,0.0007163572,0.0006100219,0.00022478367],"domain_scores_gemma":[0.9843001,0.011588765,0.0022825259,0.00044626868,0.0011744077,0.00020781922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009091651,0.00224544,0.014274349,0.0055773305,0.0007337959,0.0024922178,0.0018651331,0.00186035,0.003487187],"category_scores_gemma":[0.021925082,0.0012696916,0.024325753,0.00851542,0.00067965145,0.0012943274,0.0012910117,0.0013495879,0.000338133],"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":[0.0013962875,0.000031868985,0.012437683,0.38804337,0.58439004,0.00024030525,0.00010978817,0.0005125649,0.000291989,0.00011846684,0.0006664609,0.01176126],"study_design_scores_gemma":[0.00032438192,0.00014628502,0.0074934936,0.021925153,0.96828866,0.00014361934,0.000045595556,0.00016279837,0.00009458734,0.00011665484,0.0012368133,0.000021863365],"about_ca_topic_score_codex":0.006955633,"about_ca_topic_score_gemma":0.018834649,"teacher_disagreement_score":0.014274349,"about_ca_system_score_codex":0.0017925365,"about_ca_system_score_gemma":0.0032041061,"threshold_uncertainty_score":0.048081815},"labels":[],"label_agreement":null},{"id":"W176806208","doi":"10.1089/met.2013.0093","title":"Neck Circumference Is a Predictor of Metabolic Syndrome and Obstructive Sleep Apnea in Short-Sleeping Obese Men and Women","year":2014,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Nutrition, Metabolism and Diabetes","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; NIH Clinical Center; National Institutes of Health","keywords":"Medicine; Metabolic syndrome; Obstructive sleep apnea; Internal medicine; Body mass index; Adiponectin; Obesity; Waist; Endocrinology; Insulin resistance","score_opus":0.007912552636130579,"score_gpt":0.24093640011791675,"score_spread":0.23302384748178617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W176806208","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":[0.9990465,0.00040340974,0.000036706515,0.000036120862,0.000009037012,0.0000056193753,0.00016059067,0.0000023549828,0.0002995163],"genre_scores_gemma":[0.9993598,0.00016590099,0.000068430774,0.000024481908,0.000020070967,0.0000070065885,0.00021813266,9.110499e-7,0.00013528737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981326,0.00004810918,0.000028448048,0.000039131068,0.00004226254,0.0000287883],"domain_scores_gemma":[0.998911,0.0001975131,0.000503643,0.000038671835,0.000080082,0.00026911806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000445932,0.0003420915,0.00027305025,0.00059653947,0.00026653174,0.00031584373,0.00022455872,0.00042934984,0.0015896221],"category_scores_gemma":[0.0015625063,0.00028053173,0.00033171757,0.0005276461,0.00026226684,0.00021075703,0.0002990034,0.0003934049,0.00017951377],"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":[0.000052850857,0.000008571993,0.99938905,0.000003971586,0.000021791728,0.000029731102,0.000014174524,0.0000098122,0.00014408337,0.0000023910957,0.000019441944,0.00030411273],"study_design_scores_gemma":[0.000002075172,0.000036862322,0.999754,0.0000023381729,0.0000119105825,0.00008980155,0.000026461044,0.000042302334,0.00000819724,0.0000024173873,0.000022887461,7.9135623e-7],"about_ca_topic_score_codex":0.00470131,"about_ca_topic_score_gemma":0.0069592134,"teacher_disagreement_score":0.00470131,"about_ca_system_score_codex":0.00012819764,"about_ca_system_score_gemma":0.00017520347,"threshold_uncertainty_score":0.009347916},"labels":[],"label_agreement":null},{"id":"W1955766355","doi":"10.1089/met.2014.0159","title":"Associations Between Serum 25-Hydroxyvitamin D, Insulin Sensitivity, Insulin Secretion, and β-Cell Function According to Glucose Tolerance Status","year":2015,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Vitamin D Research Studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre hospitalier de l'Université Laval; Université Laval","funders":"Université Laval","keywords":"Medicine; Internal medicine; Endocrinology; Insulin sensitivity; Insulin; Insulin resistance; Vitamin D and neurology; Diabetes mellitus","score_opus":0.015400827529729983,"score_gpt":0.2635225592408015,"score_spread":0.2481217317110715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1955766355","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":[0.99895227,0.0004935002,0.000048201015,0.000016623562,0.000002446904,0.00000455179,0.0002248682,0.0000029899775,0.00025451058],"genre_scores_gemma":[0.99950063,0.00010454974,0.000049381182,0.000016654685,0.0000020489433,0.0000022380411,0.00018164911,0.0000010300886,0.0001417875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978274,0.000034219374,0.0000142671515,0.000053734606,0.000053388238,0.00006166476],"domain_scores_gemma":[0.99945635,0.000108332475,0.00014923443,0.00003830852,0.00013329177,0.00011444208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043965745,0.00029613153,0.0002765299,0.0005975019,0.00035797685,0.0005523099,0.0002471848,0.00031105473,0.0010343741],"category_scores_gemma":[0.0011540233,0.00013234123,0.00024443664,0.0008399284,0.000402238,0.000096993055,0.00013258969,0.00029283797,0.00013826437],"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":[0.00019310408,0.000012094931,0.9977664,0.0000061976666,0.000068057896,0.00004640371,0.000045315326,0.000028713968,0.0006865137,0.0000059504127,0.000034832618,0.0011065372],"study_design_scores_gemma":[0.0000023747518,0.000027036032,0.99971884,0.0000013234524,0.000019388563,0.00006812277,0.000025070192,0.000032508775,0.000046433626,0.000004429209,0.00005348761,0.0000010638458],"about_ca_topic_score_codex":0.19678761,"about_ca_topic_score_gemma":0.15716627,"teacher_disagreement_score":0.19678761,"about_ca_system_score_codex":0.0007897425,"about_ca_system_score_gemma":0.00064891943,"threshold_uncertainty_score":0.39128435},"labels":[],"label_agreement":null},{"id":"W1991698114","doi":"10.1089/met.2006.4.17","title":"The WHO and NCEP/ATPIII Definitions of the Metabolic Syndrome in Postmenopausal Women: Are They So Different?","year":2006,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Diabetes Québec; Université Laval; Louisiana-Pacific (Canada)","funders":"Diabète Québec; Heart and Stroke Foundation of Canada","keywords":"Medicine; Postmenopausal women; Metabolic syndrome; Internal medicine; Gerontology; Physical therapy; Obesity","score_opus":0.005042196376376288,"score_gpt":0.19054308899916517,"score_spread":0.18550089262278888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991698114","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":[0.7124305,0.20707855,0.0032713995,0.063042186,0.0032104559,0.0000974152,0.0015650847,0.00003537059,0.00926912],"genre_scores_gemma":[0.9587086,0.027950633,0.0023957428,0.008249843,0.0014434466,0.00010898996,0.0007825672,0.000022534161,0.00033767766],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970084,0.001537388,0.0004191317,0.0002399125,0.0005943163,0.00020100016],"domain_scores_gemma":[0.99484044,0.0015881198,0.0016956793,0.00024978197,0.0011709083,0.00045513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008029602,0.0003282984,0.0008216696,0.00095181935,0.00034340672,0.0013913196,0.000794883,0.0010860887,0.00079964724],"category_scores_gemma":[0.017775286,0.00019914458,0.00036339153,0.001326081,0.0010190173,0.0012576478,0.00091438583,0.0015131573,0.00024861642],"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":[0.0010127443,0.000058180132,0.88687825,0.00042345744,0.00044373728,0.00033536056,0.0017130682,0.000080948244,0.00046769678,0.0018510915,0.008032615,0.09870287],"study_design_scores_gemma":[0.00011323988,0.00025799035,0.9710136,0.0015792233,0.0003276986,0.0018905255,0.005222256,0.00030719358,0.00015618655,0.0038766894,0.015204719,0.000050625178],"about_ca_topic_score_codex":0.0030495059,"about_ca_topic_score_gemma":0.006926308,"teacher_disagreement_score":0.008029602,"about_ca_system_score_codex":0.00042224015,"about_ca_system_score_gemma":0.00073996355,"threshold_uncertainty_score":0.04246509},"labels":[],"label_agreement":null},{"id":"W1993114304","doi":"10.1089/met.2010.0101","title":"Metabolically Healthy Obese Women and Functional Capacity","year":2011,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health and Social Services Centre University Institute of Geriatrics of Sherbrooke; Université de Sherbrooke; Centre Hospitalier Universitaire de Sherbrooke","funders":"","keywords":"Medicine; Body mass index; Obesity; Metabolic equivalent; Internal medicine; Metabolic syndrome; Preferred walking speed; Physical therapy; Physical activity","score_opus":0.01506676606097518,"score_gpt":0.20508194182116318,"score_spread":0.190015175760188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993114304","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":[0.9964709,0.0013214463,0.000038775546,0.00021608299,0.000017453625,0.000006646398,0.00022247556,0.0000030064418,0.0017031428],"genre_scores_gemma":[0.9993587,0.00028032676,0.00002870548,0.000051069408,0.00002104886,0.000004336546,0.00009628405,9.053533e-7,0.00015856174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986064,0.000033113447,0.000012375386,0.000022095031,0.000023317782,0.000048345017],"domain_scores_gemma":[0.9992223,0.00017543603,0.0003214786,0.000023494218,0.000053207033,0.00020404531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027054982,0.00018980588,0.00018573314,0.00055079116,0.00030520544,0.00046265824,0.00015182124,0.00028996146,0.0035109678],"category_scores_gemma":[0.0013584883,0.000102285805,0.00017493655,0.00050331926,0.0002563601,0.00019368794,0.00032727057,0.0003328631,0.00031744706],"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":[0.00015619601,0.000059602673,0.99568427,0.000024951449,0.00002582646,0.00014619523,0.00010366122,0.000018718238,0.00020030544,0.000047754947,0.00013419364,0.003398326],"study_design_scores_gemma":[0.0000047250714,0.00008083106,0.99906856,0.000012026844,0.000016334356,0.00029597833,0.00014667984,0.000034037195,0.000023229733,0.00005812977,0.00025720094,0.0000022034899],"about_ca_topic_score_codex":0.0017476254,"about_ca_topic_score_gemma":0.0015969519,"teacher_disagreement_score":0.0035109678,"about_ca_system_score_codex":0.00011875943,"about_ca_system_score_gemma":0.00018379193,"threshold_uncertainty_score":0.011745393},"labels":[],"label_agreement":null},{"id":"W1993465275","doi":"10.1089/met.2010.0014","title":"Relationship of Mid-Thigh Adiposity to the Metabolic Syndrome in Postmenopausal Women","year":2010,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Nutrition and Health in Aging","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 Ottawa; Université Laval; Diabetes Québec; Diabetes Canada","funders":"","keywords":"Medicine; Metabolic syndrome; Adipose tissue; Internal medicine; Endocrinology; Insulin resistance; Intra-Abdominal Fat; Abdominal obesity; Hyperinsulinemia; National Cholesterol Education Program; Visceral fat; Insulin; Obesity","score_opus":0.011608447394122664,"score_gpt":0.27141888485444743,"score_spread":0.2598104374603248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993465275","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":[0.99896896,0.0006958042,0.000039475348,0.00003465482,0.000002683036,0.0000031912746,0.00006568043,0.0000018994518,0.00018757442],"genre_scores_gemma":[0.9996393,0.0001879543,0.000044717028,0.000017853758,0.0000062016784,0.0000034198297,0.00005317191,6.2504586e-7,0.000046826946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985874,0.000036018908,0.000017452823,0.000032519463,0.000032423588,0.000022863198],"domain_scores_gemma":[0.99940515,0.00011297148,0.00031738103,0.000031685555,0.000058483376,0.00007434125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000248822,0.00015948266,0.00023332065,0.00035192544,0.00020928979,0.00037670648,0.00014291616,0.00031042902,0.0012490614],"category_scores_gemma":[0.0015040596,0.00017233609,0.00017054316,0.00041039975,0.00017261584,0.00014117772,0.00024184282,0.00030559124,0.00012328802],"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":[0.000159509,0.0000074858854,0.997945,0.000008104026,0.000033798453,0.00011720945,0.000033832734,0.000015197182,0.00042772235,0.000005580344,0.000022502623,0.001224201],"study_design_scores_gemma":[0.0000046366963,0.00004735808,0.99910694,0.000004439549,0.000022706343,0.00059002754,0.00005962361,0.000063061925,0.0000425094,0.000012036279,0.000045522193,0.0000011851307],"about_ca_topic_score_codex":0.0018073373,"about_ca_topic_score_gemma":0.0021202234,"teacher_disagreement_score":0.0018073373,"about_ca_system_score_codex":0.00010834133,"about_ca_system_score_gemma":0.00009995214,"threshold_uncertainty_score":0.0041785836},"labels":[],"label_agreement":null},{"id":"W1993989456","doi":"10.1089/met.2010.0013","title":"Comparison of Foot-to-Foot and Hand-to-Foot Bioelectrical Impedance Methods in a Population with a Wide Range of Body Mass Indices","year":2010,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Core Research for Evolutional Science and Technology; Canadian Institutes of Health Research","keywords":"Bioelectrical impedance analysis; Medicine; Anthropometry; Foot (prosody); Population; Body mass index; Fat free mass; Fat mass; Internal medicine","score_opus":0.01498664643981327,"score_gpt":0.33424308980858364,"score_spread":0.31925644336877035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993989456","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":[0.99886596,0.00024462797,0.00048971554,0.000014669226,0.000007934931,0.000019161202,0.00009933995,0.0000035982266,0.00025491245],"genre_scores_gemma":[0.9987936,0.000113962706,0.00058741326,0.000024673891,0.000018587018,0.000040426625,0.00022960803,0.000002876238,0.00018882305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992212,0.00026807157,0.000069177724,0.00021151149,0.00018443819,0.0000456598],"domain_scores_gemma":[0.99877566,0.0005493077,0.00022891126,0.00007854834,0.00026527164,0.000102196944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013744204,0.0004164961,0.00045918068,0.00084832363,0.0002959952,0.0004980946,0.00027701387,0.0004725122,0.0011843229],"category_scores_gemma":[0.003408314,0.00017375094,0.0003189964,0.000583875,0.0001746532,0.00041947313,0.00036628894,0.00028594426,0.0003341234],"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":[0.0010291107,0.0002304935,0.98849225,0.00003438212,0.00020970627,0.00007728146,0.00026830361,0.00005472597,0.00195857,0.000019722387,0.00006820963,0.0075572063],"study_design_scores_gemma":[0.000052497264,0.0010563909,0.9973335,0.000009250424,0.00008124223,0.00031082265,0.000347774,0.00038267678,0.0002055839,0.000030376625,0.00018393289,0.0000059622334],"about_ca_topic_score_codex":0.0010473431,"about_ca_topic_score_gemma":0.0015331731,"teacher_disagreement_score":0.0013744204,"about_ca_system_score_codex":0.00013166718,"about_ca_system_score_gemma":0.0001065297,"threshold_uncertainty_score":0.007268727},"labels":[],"label_agreement":null},{"id":"W2010607083","doi":"10.1089/met.2008.0071","title":"Metabolic Syndrome and the Burden of Cardiovascular Disease in Caribbean Hispanic Women Living in Northern Manhattan: A Red Flag for Education","year":2009,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"U.S. Public Health Service; Avon Foundation for Women; U.S. Department of Health and Human Services","keywords":"Medicine; Metabolic syndrome; National Cholesterol Education Program; Demography; Residence; Ethnic group; Gerontology; Waist; Socioeconomic status; Body mass index; Logistic regression; Internal medicine; Obesity; Population; Environmental health","score_opus":0.004213526466067764,"score_gpt":0.20453230427085062,"score_spread":0.20031877780478285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010607083","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":[0.99745744,0.000669159,0.00001961476,0.0008280812,0.000011810913,0.0000036917272,0.0001589254,0.0000020298294,0.00084925396],"genre_scores_gemma":[0.99853194,0.0008454212,0.000051147497,0.00012441014,0.00003956166,0.0000050589783,0.00015340716,0.0000013207558,0.00024787209],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998759,0.00004097932,0.000007070743,0.000011021233,0.000025116708,0.000039954786],"domain_scores_gemma":[0.9996063,0.000035514273,0.0001396312,0.000013389168,0.000059247748,0.00014593033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002829568,0.00018579107,0.0001268369,0.0005547215,0.00057463493,0.00062270067,0.00024987472,0.00036240384,0.0019309848],"category_scores_gemma":[0.00091082376,0.00014978126,0.00014286276,0.0008950074,0.0002896244,0.0004380124,0.00041803307,0.00038560844,0.00015176492],"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":[0.000025984054,0.000015921694,0.997825,0.0000058686705,0.000010364654,0.00008158911,0.0001446089,0.000013135581,0.00004933066,0.000018666435,0.00019688655,0.0016126991],"study_design_scores_gemma":[0.0000027556382,0.00001695372,0.9987099,0.000018796723,0.000009785606,0.00011210231,0.0008163986,0.00006223862,0.00000678747,0.000015832036,0.00022691011,0.0000016466865],"about_ca_topic_score_codex":0.10040572,"about_ca_topic_score_gemma":0.15826274,"teacher_disagreement_score":0.10040572,"about_ca_system_score_codex":0.0005500006,"about_ca_system_score_gemma":0.0008536604,"threshold_uncertainty_score":0.1996426},"labels":[],"label_agreement":null},{"id":"W2020166453","doi":"10.1089/met.2007.0039","title":"Prevalence and Heritability of Clusters for Diagnostic Components of Metabolic Syndrome: The Oman Family Study","year":2008,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":8,"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":"Fondation de l'Association des radiologistes du Québec","keywords":"Medicine; Heritability; Metabolic syndrome; National Cholesterol Education Program; Internal medicine; Obesity; Cluster (spacecraft); Insulin resistance; Pedigree chart; Demography; Genetics; Biology","score_opus":0.01309287292790788,"score_gpt":0.23153599724377688,"score_spread":0.21844312431586901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020166453","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":[0.99942374,0.00010206499,0.000142838,0.00003329336,0.0000024329468,0.000003963596,0.00016220311,0.0000017258462,0.00012785064],"genre_scores_gemma":[0.99940574,0.000075912954,0.00017103007,0.000013523303,0.0000036586623,0.000008835527,0.00022590981,0.0000015277341,0.00009375519],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922204,0.00034767375,0.000046197485,0.00019396892,0.00010163414,0.00008850285],"domain_scores_gemma":[0.9993136,0.00020822375,0.00022181013,0.0001115723,0.00007659795,0.00006823258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012124284,0.00047161698,0.0003510661,0.0009539925,0.0010938466,0.0004125613,0.0003496704,0.0003674606,0.001396987],"category_scores_gemma":[0.0024795742,0.00025303452,0.00034123048,0.0009900084,0.00039072192,0.00034960004,0.00044363015,0.0003269796,0.000118987264],"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":[0.00008873146,0.000029260502,0.9964624,0.0000065816134,0.0001705314,0.00034256035,0.00049737113,0.00008868738,0.00027493347,0.00007070275,0.0002802462,0.0016880253],"study_design_scores_gemma":[0.0000043639957,0.000019287125,0.9984131,0.000007823882,0.000045493227,0.00061497587,0.00025748977,0.00038630943,0.000046677404,0.00006344011,0.00013713143,0.0000039354004],"about_ca_topic_score_codex":0.012618115,"about_ca_topic_score_gemma":0.013102644,"teacher_disagreement_score":0.012618115,"about_ca_system_score_codex":0.00049657974,"about_ca_system_score_gemma":0.00033739928,"threshold_uncertainty_score":0.025089383},"labels":[],"label_agreement":null},{"id":"W2028886777","doi":"10.1089/met.2011.0092","title":"Muscle Quality As a Potential Explanation of the Metabolically Healthy but Obese and Sarcopenic Obese Paradoxes","year":2011,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Sarcopenic obesity; Medicine; Overweight; Internal medicine; Sarcopenia; Skeletal muscle; Endocrinology; Bioelectrical impedance analysis; Obesity; Muscle mass; Body mass index","score_opus":0.02577876951363901,"score_gpt":0.2960366314290309,"score_spread":0.2702578619153919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028886777","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":[0.98369414,0.009185858,0.0013218902,0.002938293,0.00006645224,0.000029640196,0.00020852344,0.000029794879,0.0025254246],"genre_scores_gemma":[0.99846494,0.00050507864,0.00041050778,0.00030405272,0.00007429895,0.000007306453,0.000100497804,0.0000046409436,0.00012875913],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99952745,0.00014843766,0.000042412383,0.000096827156,0.000118250726,0.00006665059],"domain_scores_gemma":[0.99390006,0.0025331988,0.0025324984,0.00033658344,0.00025039382,0.00044718542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002422569,0.0005494109,0.0004417849,0.0013980729,0.00030185617,0.0006955857,0.0010329669,0.00084746524,0.0042313566],"category_scores_gemma":[0.0060375067,0.0002691143,0.00051774154,0.00091206084,0.0015155633,0.000713992,0.0010938992,0.0009852664,0.00021838298],"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":[0.0011964729,0.00022432658,0.98109895,0.00036214574,0.0004844128,0.0012995711,0.0004259667,0.00022925923,0.0030212319,0.0021451435,0.00036546608,0.00914707],"study_design_scores_gemma":[0.000039134626,0.00023831037,0.9938852,0.00004749958,0.00014651104,0.0015412888,0.00021527638,0.00079282286,0.000177143,0.0026118741,0.00029561543,0.000009310867],"about_ca_topic_score_codex":0.0011942999,"about_ca_topic_score_gemma":0.0012275536,"teacher_disagreement_score":0.0042313566,"about_ca_system_score_codex":0.00027735584,"about_ca_system_score_gemma":0.00035014487,"threshold_uncertainty_score":0.014155328},"labels":[],"label_agreement":null},{"id":"W2031654086","doi":"10.1089/met.2008.0053","title":"Centiles of Anthropometric Measures of Adiposity for 14- to 18-Year-Old Urban Asian Indian Adolescents","year":2009,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":22,"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":"Waist; Medicine; Body mass index; Anthropometry; Demography; Percentile; Circumference; Obesity; Population; Cross-sectional study; Waist–hip ratio; National Health and Nutrition Examination Survey; Gerontology; Environmental health; Internal medicine; Statistics","score_opus":0.011321645626897718,"score_gpt":0.2538735714505327,"score_spread":0.24255192582363497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031654086","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":[0.9935539,0.00045202184,0.0012937515,0.00004454185,0.00002806282,0.000028510918,0.0018356342,0.00009825545,0.0026652357],"genre_scores_gemma":[0.995174,0.00020691297,0.0017487378,0.000022183336,0.000012228834,0.000057240748,0.0021750757,0.000012320574,0.00059142365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997031,0.0000582097,0.00004907033,0.00005820792,0.00007911175,0.00005217117],"domain_scores_gemma":[0.9991517,0.00008325802,0.00037218767,0.00007315806,0.00023826187,0.00008149069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070275815,0.00045045445,0.00020175724,0.0012348919,0.00025964968,0.0005489602,0.00034281792,0.00019618153,0.0015654579],"category_scores_gemma":[0.0013138396,0.00014917323,0.00030194165,0.0006766862,0.00018684009,0.00021287678,0.00044913474,0.0004152261,0.00058086077],"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":[0.00011083627,0.000037881604,0.9857918,0.000052620344,0.00006140477,0.00006367141,0.0003127317,0.0002739415,0.00077228853,0.00009131553,0.0005954696,0.011836196],"study_design_scores_gemma":[0.0000031047239,0.00007127068,0.9980736,0.000015851081,0.00002516603,0.00017288337,0.00034135135,0.0001682126,0.00034478927,0.000033530763,0.0007451608,0.0000051697675],"about_ca_topic_score_codex":0.004014798,"about_ca_topic_score_gemma":0.0057841004,"teacher_disagreement_score":0.004014798,"about_ca_system_score_codex":0.00018664333,"about_ca_system_score_gemma":0.0002604925,"threshold_uncertainty_score":0.00798285},"labels":[],"label_agreement":null},{"id":"W2041632139","doi":"10.1089/met.2004.2.290","title":"The Metabolic Syndrome During Atypical Antipsychotic Drug Treatment: Mechanisms and Management","year":2004,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Medicine; Insulin resistance; Quetiapine; Aripiprazole; Metabolic syndrome; Antipsychotic; Olanzapine; Weight gain; Clozapine; Internal medicine; Bipolar disorder; Appetite; Atypical antipsychotic; Endocrinology; Schizophrenia (object-oriented programming); Diabetes mellitus; Insulin; Psychiatry; Mood","score_opus":0.006532625890266548,"score_gpt":0.23853653096831384,"score_spread":0.2320039050780473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041632139","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":[0.29418072,0.63706344,0.005962075,0.039174527,0.0013533211,0.0003112728,0.0003839954,0.00035936473,0.021211319],"genre_scores_gemma":[0.7446036,0.23001164,0.009063703,0.0082678385,0.0035026,0.00026446284,0.0005473452,0.000040266223,0.003698557],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997851,0.00006842354,0.000039982642,0.000021232961,0.000057725872,0.000027630427],"domain_scores_gemma":[0.9997272,0.000035281573,0.000092975395,0.000009368035,0.00004851684,0.00008668616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032972274,0.0004914217,0.0006845908,0.0006149512,0.0004658776,0.0006590208,0.00042013742,0.00091823813,0.00068094913],"category_scores_gemma":[0.0007786709,0.00015760538,0.00042806234,0.0004920003,0.0002328373,0.00058751076,0.00038825203,0.00122555,0.00022307283],"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":[0.0019754074,0.0012216931,0.20964526,0.0024371145,0.00043270653,0.031285174,0.00056924945,0.00090512144,0.010142329,0.0032720391,0.021525057,0.71658874],"study_design_scores_gemma":[0.00048789766,0.0026774188,0.7317151,0.0038043684,0.00086847116,0.13330874,0.0021093637,0.0058229626,0.003465242,0.009863825,0.10569626,0.00018034663],"about_ca_topic_score_codex":0.0013500558,"about_ca_topic_score_gemma":0.0027135697,"teacher_disagreement_score":0.0013500558,"about_ca_system_score_codex":0.0006717543,"about_ca_system_score_gemma":0.00075253093,"threshold_uncertainty_score":0.004873991},"labels":[],"label_agreement":null},{"id":"W2044904228","doi":"10.1089/met.2012.0071","title":"Exercise-Induced Hypertension in Men with Metabolic Syndrome: Anthropometric, Metabolic, and Hemodynamic Features","year":2012,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Cardiovascular and exercise physiology","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre hospitalier universitaire de Québec; Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Metabolic syndrome; Blood pressure; Internal medicine; Waist; Abdominal obesity; Endocrinology; Cardiology; Insulin resistance; Hemodynamics; Anthropometry; Body mass index; Obesity","score_opus":0.006309985717074307,"score_gpt":0.22395916721291848,"score_spread":0.21764918149584417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044904228","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":[0.9992925,0.0003161424,0.00007233939,0.00002975035,0.0000061772535,0.000005762921,0.00006247266,0.0000022737745,0.00021248776],"genre_scores_gemma":[0.9996062,0.0001212784,0.00006299087,0.000014948865,0.000024254361,0.000004143228,0.000086984866,7.095781e-7,0.00007846297],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998259,0.000047058875,0.000020273483,0.000035735353,0.000041529907,0.000029642832],"domain_scores_gemma":[0.9996573,0.00006994489,0.00014685784,0.000015664089,0.000028128725,0.00008221135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029132422,0.00034330442,0.00033003377,0.00039789546,0.00034605493,0.0003377982,0.00015404062,0.0003298667,0.0011555919],"category_scores_gemma":[0.00086290867,0.00018447386,0.00024708535,0.0005523091,0.0001896874,0.00035146993,0.0002654109,0.00036768682,0.00020608875],"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":[0.00012050203,0.000031442476,0.9983552,0.00000645794,0.00002219046,0.00011514229,0.000025647874,0.000014818914,0.00028820717,0.0000042346664,0.000018554494,0.0009974937],"study_design_scores_gemma":[0.0000056709955,0.000113475624,0.9992536,0.0000030207718,0.000016150541,0.00040255953,0.000054964363,0.000077786615,0.00002933877,0.000007874464,0.000034559594,0.000001080911],"about_ca_topic_score_codex":0.0010136053,"about_ca_topic_score_gemma":0.0016653625,"teacher_disagreement_score":0.0011555919,"about_ca_system_score_codex":0.00007731712,"about_ca_system_score_gemma":0.00012683896,"threshold_uncertainty_score":0.003865838},"labels":[],"label_agreement":null},{"id":"W2046597028","doi":"10.1089/met.2004.2.57","title":"The Triglyceride/High-Density Lipoprotein Cholesterol Ratio, the Small Dense Low-Density Lipoprotein Phenotype, and Ischemic Heart Disease Risk","year":2004,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","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":"Université Laval","funders":"Canada Research Chairs; Heart and Stroke Foundation of Canada","keywords":"Medicine; Triglyceride; Internal medicine; Cholesterol; Cardiology; Lipoprotein; High-density lipoprotein; Phenotype; Disease; Gene; Genetics","score_opus":0.003955008555064476,"score_gpt":0.18933998563298945,"score_spread":0.18538497707792498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046597028","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":[0.99848735,0.0005491515,0.00019684089,0.00007349593,0.000007808995,0.000013152877,0.0002591116,0.0000058855962,0.00040713686],"genre_scores_gemma":[0.99919647,0.000118553886,0.00020926632,0.000027755967,0.000008510405,0.0000051724605,0.0002451233,0.0000020823786,0.00018707578],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996227,0.00016416406,0.000022529537,0.000063734195,0.00007336013,0.000053478387],"domain_scores_gemma":[0.99830866,0.0006581943,0.00033029105,0.00011924419,0.00028511832,0.00029852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010323816,0.00035640073,0.00022147446,0.00057360897,0.00027266913,0.0005396051,0.0002960782,0.00039308477,0.00082427985],"category_scores_gemma":[0.004342291,0.00015378425,0.00029077454,0.00049371907,0.00033729494,0.00015557476,0.00017590568,0.000486599,0.00019582345],"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":[0.0003232212,0.000025509315,0.9971457,0.0000071579325,0.00009832303,0.000051356907,0.000022110753,0.00010669261,0.00037675057,0.0000142685485,0.000051002015,0.0017779119],"study_design_scores_gemma":[0.000012778302,0.000057654714,0.99889946,0.0000031337431,0.00003980777,0.000081484635,0.000025980944,0.00068164046,0.00007511844,0.000018842093,0.00010098704,0.0000032311505],"about_ca_topic_score_codex":0.15123819,"about_ca_topic_score_gemma":0.14226955,"teacher_disagreement_score":0.15123819,"about_ca_system_score_codex":0.0008479365,"about_ca_system_score_gemma":0.00079319754,"threshold_uncertainty_score":0.3007158},"labels":[],"label_agreement":null},{"id":"W2056086317","doi":"10.1089/met.2008.0063","title":"Effectiveness of a Multidisciplinary Program for Management of Obesity: The Unité d’Enseignement, de Traitement et de Recherche sur l’Obésité (UETRO) Database Study","year":2009,"lang":"fr","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Bariatric Surgery and Outcomes","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke","funders":"Obesity Canada; Canadian Institutes of Health Research; Health Canada","keywords":"Medicine; Body mass index; Weight loss; Obesity; Weight management; Diabetes mellitus; Cohort; Waist; Retrospective cohort study; Internal medicine; Endocrinology","score_opus":0.040778808986969076,"score_gpt":0.3496577953170658,"score_spread":0.30887898633009675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056086317","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":[0.99543935,0.0010293471,0.00008615465,0.00021952533,0.000018512483,0.00012998423,0.0025950202,0.000008773211,0.000473326],"genre_scores_gemma":[0.9940177,0.0005909498,0.00036313388,0.0002629162,0.000064355416,0.00024378751,0.0043137097,0.000010719653,0.00013269078],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9936254,0.0036459048,0.0006120485,0.0010632918,0.00053925824,0.00051405124],"domain_scores_gemma":[0.98914635,0.003067837,0.0041215266,0.00089767075,0.00053977926,0.0022267892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043280544,0.00047464133,0.0010210152,0.001368856,0.00060471165,0.001237658,0.0012127911,0.0010744137,0.0015666606],"category_scores_gemma":[0.010256522,0.00034780506,0.0012591004,0.002240992,0.00031833138,0.00090315414,0.0019200991,0.0008259703,0.00021174601],"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":[0.005193398,0.0015581641,0.9787138,0.00017610345,0.0010313987,0.000108164524,0.00017149295,0.00025061303,0.00015937349,0.000042455744,0.0014693899,0.0111256335],"study_design_scores_gemma":[0.0010230254,0.0016791476,0.9948879,0.00008986364,0.0005756272,0.00017755116,0.0002891639,0.0006878437,0.00007014906,0.00002430611,0.00047561037,0.00001986298],"about_ca_topic_score_codex":0.010597523,"about_ca_topic_score_gemma":0.015846513,"teacher_disagreement_score":0.010597523,"about_ca_system_score_codex":0.0011844486,"about_ca_system_score_gemma":0.0014297365,"threshold_uncertainty_score":0.022889256},"labels":[],"label_agreement":null},{"id":"W2057045188","doi":"10.1089/met.2010.0019","title":"Effects of Metabolic Syndrome on Cardio-Ankle Vascular Index in Middle-Aged and Elderly Chinese","year":2010,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Aging","funders":"Jilin University; People's Government of Jilin Province","keywords":"Medicine; Metabolic syndrome; Arterial stiffness; Waist; Abdominal obesity; Internal medicine; Diabetes mellitus; Body mass index; Cardiology; Blood pressure; Obesity; Endocrinology","score_opus":0.0035203149803090415,"score_gpt":0.22186089532849637,"score_spread":0.21834058034818732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057045188","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":[0.99910456,0.00034747017,0.00003192382,0.00004152172,0.000009033532,0.0000045724946,0.000049951715,0.0000020335015,0.00040893914],"genre_scores_gemma":[0.9996387,0.00011116774,0.00002998561,0.000021405196,0.000011354615,0.0000037620082,0.000050327526,7.06859e-7,0.00013268176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997564,0.00005864246,0.000028601513,0.00005145965,0.00005819526,0.000046684207],"domain_scores_gemma":[0.9993837,0.00011017421,0.00017116794,0.00004833076,0.00007622133,0.00021032522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041865016,0.0003106638,0.00031324264,0.0005756952,0.00045729606,0.00033810738,0.00013041888,0.0002744246,0.0008416044],"category_scores_gemma":[0.0012496945,0.00017306593,0.0004907037,0.0006063744,0.00023864204,0.00019292139,0.00025436634,0.00036013965,0.00008488807],"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":[0.00033721802,0.00006188164,0.9964593,0.0000112716125,0.00011032975,0.00020913596,0.00013370183,0.000020734358,0.00061081897,0.000020706673,0.000050015784,0.0019747757],"study_design_scores_gemma":[0.0000033827046,0.00006304834,0.9996884,0.0000013785648,0.000033305223,0.000055135308,0.000042720898,0.000048679714,0.000025268362,0.000008903761,0.00002827322,0.0000015994895],"about_ca_topic_score_codex":0.0082737105,"about_ca_topic_score_gemma":0.010354607,"teacher_disagreement_score":0.0082737105,"about_ca_system_score_codex":0.00023453264,"about_ca_system_score_gemma":0.0002779594,"threshold_uncertainty_score":0.01645112},"labels":[],"label_agreement":null},{"id":"W2067927272","doi":"10.1089/met.2010.0020","title":"Effect of Zinc Supplementation on Markers of Insulin Resistance, Oxidative Stress, and Inflammation among Prepubescent Children with Metabolic Syndrome","year":2010,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Trace Elements in Health","field":"Nursing","cited_by":129,"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; Hospital for Sick Children","funders":"","keywords":"Medicine; Insulin resistance; Internal medicine; Placebo; Malondialdehyde; Endocrinology; Metabolic syndrome; Oxidative stress; Insulin; Body mass index; Lipid profile; C-reactive protein; Obesity; Cholesterol; Inflammation; Pathology","score_opus":0.0026654948901412984,"score_gpt":0.2332848153142158,"score_spread":0.23061932042407451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067927272","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":[0.9977672,0.0017589495,0.00007857373,0.000059946487,0.000038965798,0.00012428168,0.00005691202,0.000007705938,0.00010737696],"genre_scores_gemma":[0.99653167,0.0015397614,0.00073843193,0.0001407921,0.00006797964,0.0003233865,0.0001424483,0.0000036352073,0.00051196804],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.99967253,0.00013709611,0.00003616315,0.00006329452,0.00005052833,0.0000404781],"domain_scores_gemma":[0.999542,0.00008870529,0.00014177228,0.00002336644,0.00004157085,0.00016255218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068010757,0.00069886714,0.0019024343,0.0002518621,0.0003189338,0.00033725717,0.00042066886,0.00070365553,0.0014982817],"category_scores_gemma":[0.000906197,0.00029413291,0.0006126921,0.00018644305,0.0003645548,0.00023253511,0.00029630522,0.0009815337,0.00011677182],"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":[0.92303544,0.014864126,0.011713335,0.0011126156,0.0013291549,0.00011319041,0.00011480459,0.00018317156,0.014931192,0.0000448972,0.00024833574,0.032309704],"study_design_scores_gemma":[0.3764418,0.53691936,0.07729345,0.00017987707,0.0017228514,0.00023232911,0.00013288169,0.0005434229,0.005537261,0.00008382022,0.000889875,0.000023057026],"about_ca_topic_score_codex":0.0014226097,"about_ca_topic_score_gemma":0.0017536,"teacher_disagreement_score":0.0019024343,"about_ca_system_score_codex":0.00025798476,"about_ca_system_score_gemma":0.00059101597,"threshold_uncertainty_score":0.005012274},"labels":[],"label_agreement":null},{"id":"W2075402327","doi":"10.1089/met.2006.0005","title":"Effect of a Six-Week National Cholesterol Education Program Step 1 Diet on Plasma Sex Hormone-Binding Globulin Levels In Overweight Premenopausal Women","year":2007,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Sex hormone-binding globulin; Endocrinology; Internal medicine; Medicine; Overweight; National Cholesterol Education Program; Body mass index; Globulin; Metabolic syndrome; Cholesterol; Obesity; Hormone","score_opus":0.0090838457006479,"score_gpt":0.2822698478771813,"score_spread":0.2731860021765334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075402327","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":[0.99952996,0.00015854761,0.000017615681,0.000036431018,0.0000120043405,0.000036391364,0.000040013176,0.000005408082,0.0001636418],"genre_scores_gemma":[0.99755484,0.0004261966,0.000527525,0.00020338607,0.000029368186,0.00011602113,0.00024717516,0.0000027696324,0.0008927086],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9998814,0.00004181016,0.000010806546,0.000016466704,0.00002263492,0.000026775042],"domain_scores_gemma":[0.9996785,0.000086707565,0.00004819582,0.000016401884,0.000032865944,0.00013736548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002722047,0.00043684794,0.00054587435,0.00031521352,0.00045010657,0.00022343533,0.00021870888,0.00056069606,0.0012916563],"category_scores_gemma":[0.00076816697,0.00026280826,0.00032354626,0.00020213156,0.00016292474,0.000111298374,0.0002768953,0.0005020296,0.00016854005],"study_design_candidate":"nonrandomized_trial","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":[0.37326065,0.11348287,0.25465867,0.0008930327,0.0021099374,0.00084891834,0.0010729461,0.00094278797,0.06633774,0.000083104365,0.0014587224,0.18485074],"study_design_scores_gemma":[0.007520979,0.1407954,0.84482664,0.000048863665,0.0008279431,0.00018016399,0.00027549046,0.00062913884,0.003955425,0.000036217076,0.00088069384,0.000023042852],"about_ca_topic_score_codex":0.0036445619,"about_ca_topic_score_gemma":0.0077415793,"teacher_disagreement_score":0.0036445619,"about_ca_system_score_codex":0.00024578883,"about_ca_system_score_gemma":0.00036129923,"threshold_uncertainty_score":0.007246673},"labels":[],"label_agreement":null},{"id":"W207644387","doi":"10.1089/met.2012.0076","title":"Impact of the Traditional Mediterranean Diet on the Framingham Risk Score and the Metabolic Syndrome According to Sex","year":2014,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Framingham Risk Score; Metabolic syndrome; Mediterranean diet; National Cholesterol Education Program; Internal medicine; Cholesterol; High-density lipoprotein; Blood pressure; Endocrinology; Physiology; Demography; Obesity; Disease","score_opus":0.01579131650131396,"score_gpt":0.24349908468158907,"score_spread":0.2277077681802751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W207644387","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":[0.9980591,0.00082207617,0.000060610484,0.000041390744,0.000017411228,0.000007912637,0.00014820971,0.0000035825094,0.00083977845],"genre_scores_gemma":[0.99940836,0.00014738074,0.00005934866,0.000025118277,0.000022899087,0.000005101924,0.00012780809,0.0000029076073,0.00020105865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999571,0.00017999587,0.000025039295,0.0000664101,0.00010568794,0.000051892075],"domain_scores_gemma":[0.99818546,0.00079218537,0.0004646765,0.0001437746,0.00013461559,0.00027928266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097004813,0.0002776315,0.00033700373,0.0004992004,0.00014015952,0.00034705453,0.00016689194,0.00019943703,0.001961768],"category_scores_gemma":[0.0026996492,0.000118062315,0.00054520724,0.00037987603,0.0002181108,0.00018760949,0.00025086274,0.0003548747,0.00013946548],"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":[0.003176526,0.00013019438,0.98801875,0.00002159817,0.000375437,0.00010457414,0.00010988118,0.000059098307,0.0009402755,0.00002532418,0.00009893584,0.0069393287],"study_design_scores_gemma":[0.000013008716,0.00029798257,0.9993531,0.0000018907012,0.000061941086,0.00006943188,0.000017538614,0.000054168107,0.00005548578,0.000009923767,0.000063848944,0.0000016180571],"about_ca_topic_score_codex":0.0007285553,"about_ca_topic_score_gemma":0.0007470488,"teacher_disagreement_score":0.001961768,"about_ca_system_score_codex":0.0001150822,"about_ca_system_score_gemma":0.00014876015,"threshold_uncertainty_score":0.0065627694},"labels":[],"label_agreement":null},{"id":"W2080109720","doi":"10.1089/met.2005.3.51","title":"Alcohol Suppresses Meal-Induced Insulin Sensitization","year":2005,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Regulation of Appetite and Obesity","field":"Neuroscience","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":"Insulin; Medicine; Meal; Sensitization; Ethanol; Alcohol; Atropine; Endocrinology; Internal medicine; Stomach; Anesthesia; Chemistry; Biochemistry; Immunology","score_opus":0.013779176678628116,"score_gpt":0.24218514699798008,"score_spread":0.22840597031935195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080109720","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":[0.99849725,0.0005429858,0.00038888003,0.000023480037,0.000017057753,0.000018487079,0.000062400984,0.000046711666,0.00040278074],"genre_scores_gemma":[0.9971404,0.0006813346,0.00069150794,0.00003815449,0.000016010821,0.00002440574,0.00018932937,0.000013054734,0.0012058455],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999405,0.000009698074,0.0000073488886,0.000010035519,0.000014738194,0.000017536138],"domain_scores_gemma":[0.9998111,0.000019901076,0.00008391373,0.000025002924,0.000021438656,0.00003868889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008450177,0.00037606293,0.00024675246,0.00022607649,0.00007016991,0.00013072118,0.00011994463,0.000138339,0.0015171083],"category_scores_gemma":[0.00013932021,0.00013330429,0.00025001648,0.000092189635,0.00022495903,0.00017904009,0.00019196686,0.0005839337,0.00020081509],"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":[0.002304604,0.00023042939,0.00092917617,0.000057537676,0.00001481111,0.00008010507,0.000016547177,0.000041749034,0.9925639,0.000027679902,0.000031904794,0.0037016198],"study_design_scores_gemma":[0.00012351334,0.013298403,0.03622749,0.00001653675,0.000062185296,0.0003947131,0.000067463334,0.00079179334,0.9477282,0.000060075567,0.0012187193,0.000010954082],"about_ca_topic_score_codex":0.00029065367,"about_ca_topic_score_gemma":0.00051713985,"teacher_disagreement_score":0.0015171083,"about_ca_system_score_codex":0.0001673788,"about_ca_system_score_gemma":0.00016044619,"threshold_uncertainty_score":0.005075276},"labels":[],"label_agreement":null},{"id":"W2082313019","doi":"10.1089/met.2012.0094","title":"Validating Metabolic Syndrome Through Principal Component Analysis in a Medically Diverse, Realistic Cohort","year":2012,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health and Social Services Centre University Institute of Geriatrics of Sherbrooke; Université de Sherbrooke; Centre Hospitalier Universitaire de Sherbrooke","funders":"NIH Clinical Center; Université de Sherbrooke; Canadian Diabetes Association","keywords":"Metabolic syndrome; Medicine; Cohort; Diabetes mellitus; Population; Cohort study; Principal component analysis; Internal medicine; Obesity; Statistics; Endocrinology; Environmental health; Mathematics","score_opus":0.011765580809412993,"score_gpt":0.25100672245125066,"score_spread":0.23924114164183768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082313019","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":[0.9918682,0.00007332131,0.0064937933,0.00020538091,0.000016570499,0.00024517733,0.0006339778,0.000015326596,0.00044834914],"genre_scores_gemma":[0.99034446,0.00004801609,0.007909445,0.00012643922,0.00001882817,0.00023381667,0.001247652,0.0000065609343,0.000064848966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9918864,0.0056050178,0.00044066974,0.00087223283,0.0009556062,0.00024003384],"domain_scores_gemma":[0.9879716,0.005432644,0.0019088313,0.0023831567,0.0016067581,0.0006969917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017983144,0.00048969325,0.00040144444,0.0011451151,0.001136091,0.000830861,0.0008229123,0.0006197565,0.0010288389],"category_scores_gemma":[0.02964552,0.0002163309,0.00058585056,0.0009834695,0.000644694,0.00046303435,0.0013202218,0.0007820868,0.00024518286],"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":[0.00022989108,0.00019575965,0.99239117,0.000019000212,0.00010808916,0.00011433379,0.00039721618,0.0011314892,0.00050859386,0.00019200664,0.0004504422,0.0042619626],"study_design_scores_gemma":[0.00008429527,0.00052119023,0.9830262,0.000028527642,0.00007200014,0.00033249534,0.0007966187,0.013112034,0.00033162735,0.0006532559,0.0010200287,0.00002166162],"about_ca_topic_score_codex":0.015978957,"about_ca_topic_score_gemma":0.017603993,"teacher_disagreement_score":0.017983144,"about_ca_system_score_codex":0.00090289174,"about_ca_system_score_gemma":0.001557376,"threshold_uncertainty_score":0.09510505},"labels":[],"label_agreement":null},{"id":"W2083346904","doi":"10.1089/met.2011.0136","title":"Lifestyle Habits and Physical Capacity in Patients with Moderate or Severe Metabolic Syndrome","year":2012,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Research Manitoba; Health and Social Services Centre University Institute of Geriatrics of Sherbrooke; Université de Sherbrooke","funders":"Canadian Institutes of Health Research","keywords":"Metabolic syndrome; Medicine; Cardiorespiratory fitness; National Health and Nutrition Examination Survey; Internal medicine; Metabolic equivalent; Physical therapy; Pediatrics; Physical activity; Obesity; Population; Environmental health","score_opus":0.008024752201552821,"score_gpt":0.2016181535766252,"score_spread":0.19359340137507236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083346904","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":[0.99940085,0.00020477564,0.00002825975,0.00003160083,0.0000038294615,0.000005456586,0.000086801614,0.000001432635,0.00023699674],"genre_scores_gemma":[0.9997274,0.000059182188,0.000034581193,0.000013771029,0.000006713019,0.000003907891,0.00011165182,4.421804e-7,0.000042327967],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980754,0.000050187242,0.000031994306,0.00003699686,0.000036561614,0.000036710837],"domain_scores_gemma":[0.99911827,0.00019126154,0.0003798383,0.00003559049,0.000059564667,0.00021546792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003657223,0.0002889922,0.00035208266,0.00061039825,0.0003615597,0.00038419428,0.00016569748,0.0003845618,0.0017250807],"category_scores_gemma":[0.0015199315,0.00018432474,0.000280547,0.00068525167,0.00020209301,0.00026088368,0.00035275726,0.0004632293,0.00017471367],"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":[0.00006376753,0.000021974283,0.9993143,0.0000052546648,0.000016065294,0.000043858276,0.000023804068,0.000011280926,0.00007473975,0.000004555277,0.000018171893,0.0004020378],"study_design_scores_gemma":[0.000003861462,0.00007915091,0.99954766,0.0000032852724,0.000009836244,0.00019909452,0.00006391182,0.000042454358,0.000014123038,0.000008792339,0.000026674776,0.0000012102867],"about_ca_topic_score_codex":0.0015773231,"about_ca_topic_score_gemma":0.002853584,"teacher_disagreement_score":0.0017250807,"about_ca_system_score_codex":0.00012118925,"about_ca_system_score_gemma":0.00017543348,"threshold_uncertainty_score":0.0057709813},"labels":[],"label_agreement":null},{"id":"W2091345939","doi":"10.1089/met.2009.0099","title":"Longitudinal Changes in Central Artery Stiffness with Lifestyle Modification, Washout, and Drug Treatment in Individuals at Risk for Cardiovascular Disease","year":2010,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Cardiovascular Health and Disease Prevention","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":"Western University; Lawson Health Research Institute","funders":"","keywords":"Medicine; Telmisartan; Washout; Blood pressure; Arterial stiffness; Cardiology; Internal medicine; Lifestyle modification; Population; Risk factor; Physical therapy; Disease","score_opus":0.008999687617696072,"score_gpt":0.2393728852810791,"score_spread":0.23037319766338304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091345939","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":[0.99966824,0.000120768156,0.00003455001,0.000012955389,0.000002955801,0.000011500552,0.00003715774,0.0000030737867,0.00010880257],"genre_scores_gemma":[0.9993017,0.000066422035,0.0001277736,0.000032550695,0.000008851889,0.000027973483,0.00018271888,0.0000010451726,0.00025109164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967945,0.00010530781,0.000022026317,0.000052881944,0.00007989787,0.00006053908],"domain_scores_gemma":[0.9988527,0.00016886312,0.0003720816,0.000087297616,0.00015037629,0.00036861733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085349614,0.0003229675,0.00060615974,0.00033117065,0.00037025916,0.00037169977,0.00021507304,0.00052844966,0.0005628885],"category_scores_gemma":[0.0017667648,0.00027453815,0.000415334,0.00031138258,0.00014818522,0.00032919788,0.00027977,0.0006191101,0.00012536334],"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":[0.004593572,0.0019317258,0.97555816,0.000040973675,0.00032036097,0.00014196559,0.00034953636,0.0000933811,0.0031326828,0.000009937651,0.0000974866,0.013730245],"study_design_scores_gemma":[0.000053636355,0.0020642718,0.9973162,0.0000035141059,0.000061751845,0.00004399703,0.00005789288,0.0001177077,0.00018881528,0.000007266025,0.00008057124,0.000004337794],"about_ca_topic_score_codex":0.0020837241,"about_ca_topic_score_gemma":0.0035331051,"teacher_disagreement_score":0.0020837241,"about_ca_system_score_codex":0.00025190244,"about_ca_system_score_gemma":0.00027285898,"threshold_uncertainty_score":0.0045137405},"labels":[],"label_agreement":null},{"id":"W2150880463","doi":"10.1089/met.2014.0134","title":"Potential Involvement of Nicotinamide <i>N</i> -Methyltransferase in the Pathogenesis of Metabolic Syndrome","year":2015,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Sirtuins and Resveratrol in Medicine","field":"Medicine","cited_by":23,"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":"Metabolic syndrome; Medicine; Internal medicine; Endocrinology; Adipose tissue; Pathogenesis; Insulin resistance; Impaired glucose tolerance; Diabetes mellitus; Hyperlipidemia; Obesity; Homocysteine","score_opus":0.009798289375007206,"score_gpt":0.235408234687118,"score_spread":0.2256099453121108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150880463","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":[0.9861465,0.010735904,0.0019709747,0.00017957816,0.000020879295,0.00001548565,0.00005501229,0.000020592026,0.00085503806],"genre_scores_gemma":[0.99616635,0.0027216417,0.000734065,0.000040112795,0.000015944084,0.000010799796,0.00004797966,0.0000016676549,0.00026146302],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99995255,0.000012363995,0.000004879961,0.000010455787,0.000008627937,0.000011123791],"domain_scores_gemma":[0.9998865,0.000016518803,0.000056632318,0.000005984466,0.0000115608445,0.000022840253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016938879,0.00034620956,0.00018149389,0.00028627814,0.0001429016,0.00017135116,0.0001865679,0.0003025696,0.00047194574],"category_scores_gemma":[0.00013746195,0.0000709187,0.00018271385,0.00012896297,0.00027708043,0.00014075634,0.00014948349,0.00019176067,0.000058770052],"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":[0.0031170298,0.000233846,0.2058937,0.00048387062,0.0002982516,0.003402107,0.00020637662,0.00034811284,0.75882363,0.001169007,0.00017879685,0.025845222],"study_design_scores_gemma":[0.00015622919,0.0023649405,0.82041484,0.00012462604,0.00058022357,0.0077430825,0.00036855746,0.0031859493,0.1584963,0.0024969913,0.004034621,0.000033752214],"about_ca_topic_score_codex":0.0006732168,"about_ca_topic_score_gemma":0.0006877879,"teacher_disagreement_score":0.0006732168,"about_ca_system_score_codex":0.00018374516,"about_ca_system_score_gemma":0.00015430686,"threshold_uncertainty_score":0.0015788078},"labels":[],"label_agreement":null},{"id":"W2167351391","doi":"10.1089/met.2009.0052","title":"Uncoupling Between Insulin and Release of a <scp>d</scp> - <i>Chiro</i> -Inositol–Containing Inositolphosphoglycan Mediator of Insulin Action in Obese Women With Polycystic Ovary Syndrome","year":2010,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Ovarian function and disorders","field":"Medicine","cited_by":72,"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 Sherbrooke","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institutes of Health","keywords":"Insulin; Polycystic ovary; Internal medicine; Endocrinology; Medicine; Insulin resistance; Metformin","score_opus":0.0062514526075030654,"score_gpt":0.21980395951006118,"score_spread":0.21355250690255811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167351391","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":[0.99971205,0.00015640115,0.00004252253,0.000006312958,0.000002038255,0.000003424044,0.000013798239,0.0000017173882,0.00006170251],"genre_scores_gemma":[0.9997248,0.0000699721,0.00010269472,0.000012413087,0.00000544664,0.0000040958926,0.00004262051,0.000001419768,0.000036414567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979633,0.00004513273,0.00002537138,0.000058478097,0.00004782174,0.000026898526],"domain_scores_gemma":[0.99925166,0.00018207,0.00034930263,0.00004982475,0.00005025884,0.00011690346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034604606,0.0003147595,0.000222585,0.0006973177,0.00023695451,0.00043939432,0.00020110019,0.00032302077,0.0009646515],"category_scores_gemma":[0.0012194646,0.0003554056,0.00019074387,0.00043378034,0.00037501578,0.00020010998,0.00027474476,0.00031723376,0.00010256533],"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":[0.003447801,0.00021465863,0.9666248,0.000049273644,0.000083071645,0.001212301,0.00019194883,0.00004076056,0.023753246,0.000023961782,0.000042584754,0.0043155183],"study_design_scores_gemma":[0.000047529098,0.0007522032,0.9944811,0.0000045909264,0.000055765322,0.002454601,0.00012640518,0.00012783534,0.0018393004,0.000016021739,0.00009084138,0.000003959412],"about_ca_topic_score_codex":0.0011312196,"about_ca_topic_score_gemma":0.0009979659,"teacher_disagreement_score":0.0011312196,"about_ca_system_score_codex":0.00023899612,"about_ca_system_score_gemma":0.00015178953,"threshold_uncertainty_score":0.003227055},"labels":[],"label_agreement":null},{"id":"W2286954991","doi":"10.1089/met.2015.0123","title":"Risk Factors for Insulin Resistance, Metabolic Syndrome, and Diabetes in 248 <i>HFE</i> C282Y Homozygotes Identified by Population Screening in the HEIRS Study","year":2016,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Center for Research Resources; National Cancer Institute; National Human Genome Research Institute; University of California, Irvine; U.S. Public Health Service; Wake Forest University; London Health Sciences Centre; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; University of Minnesota; Kaiser Permanente","keywords":"Medicine; Insulin resistance; Metabolic syndrome; Diabetes mellitus; Type 2 diabetes; Population; Internal medicine; Endocrinology; Bioinformatics; Environmental health","score_opus":0.007017893819581259,"score_gpt":0.22146543708127717,"score_spread":0.2144475432616959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2286954991","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":[0.99960583,0.00003031291,0.00004328274,0.000010848253,0.0000026281277,0.0000064733094,0.00011610301,0.0000012817367,0.00018312644],"genre_scores_gemma":[0.99957615,0.000021240876,0.000048323705,0.0000186772,0.00000681208,0.000007878012,0.00013837694,0.0000012832605,0.00018126359],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998042,0.00004756314,0.000015722577,0.000044688164,0.000039715633,0.000048118658],"domain_scores_gemma":[0.9996207,0.000041229938,0.00014217827,0.000029060557,0.000053711403,0.00011309827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000298144,0.00035350397,0.00032007543,0.0005783042,0.0004249148,0.00036238792,0.00020668932,0.00032115198,0.0015159105],"category_scores_gemma":[0.0006670735,0.00022857096,0.0002241777,0.00037507957,0.00016498897,0.0001931093,0.0002188499,0.0003724308,0.00030770962],"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":[0.0001286736,0.00005684098,0.99829286,0.0000025607328,0.00002787758,0.0001435893,0.000064149106,0.000009723065,0.00066148787,0.000006380508,0.00007089819,0.00053491455],"study_design_scores_gemma":[0.000008266198,0.000094478375,0.99931264,0.0000022017007,0.000015607207,0.00026071793,0.000110657165,0.00005358083,0.000058118414,0.0000057554244,0.00007639624,0.0000016845194],"about_ca_topic_score_codex":0.0063107396,"about_ca_topic_score_gemma":0.006728991,"teacher_disagreement_score":0.0063107396,"about_ca_system_score_codex":0.000121846264,"about_ca_system_score_gemma":0.00011983054,"threshold_uncertainty_score":0.01254797},"labels":[],"label_agreement":null},{"id":"W2294010273","doi":"10.1089/met.2015.0094","title":"Metabolic Syndrome and Cognitive Performance Among Chinese ≥50 Years: A Cross-Sectional Study with 3988 Participants","year":2016,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":41,"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":"Chinese Medical Association","keywords":"Medicine; Montreal Cognitive Assessment; Dyslipidemia; Metabolic syndrome; Overweight; Cross-sectional study; Cognition; Marital status; Population; Diabetes mellitus; Logistic regression; Obesity; Gerontology; Internal medicine; Physical therapy; Demography; Cognitive impairment; Psychiatry; Environmental health; Endocrinology","score_opus":0.01116487874648533,"score_gpt":0.29158249882275616,"score_spread":0.28041762007627086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294010273","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":[0.99937433,0.00010484943,0.000037694783,0.00001538735,0.0000035026287,0.00001885409,0.00027280193,0.0000015578793,0.00017110741],"genre_scores_gemma":[0.9991665,0.00010635177,0.00009607247,0.000048446454,0.000007744729,0.000037492257,0.0003768711,0.0000011915456,0.00015937089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965584,0.00005656005,0.000051734,0.000089871806,0.00007711778,0.000068883055],"domain_scores_gemma":[0.99952257,0.000054182045,0.000140124,0.00005693586,0.00009652447,0.00012968277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085898535,0.0003795235,0.00040819755,0.00072048715,0.0009025004,0.00044384506,0.0003512018,0.00040456167,0.0011604837],"category_scores_gemma":[0.0008287221,0.00047858842,0.00041841576,0.0011466859,0.00023797674,0.00042306527,0.00036236478,0.0004246554,0.000258993],"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":[0.000049783608,0.00004426313,0.99900085,0.000009215807,0.000038474926,0.00006300829,0.00015964305,0.0000072502066,0.00014939776,0.0000044844273,0.00004501363,0.0004285736],"study_design_scores_gemma":[0.000005352786,0.000078912126,0.9994512,0.0000036793617,0.000025483483,0.00009429209,0.00020348105,0.000033085023,0.000018305087,0.000004410924,0.000079838814,0.0000020370003],"about_ca_topic_score_codex":0.021389054,"about_ca_topic_score_gemma":0.026996706,"teacher_disagreement_score":0.021389054,"about_ca_system_score_codex":0.00036794084,"about_ca_system_score_gemma":0.0005226927,"threshold_uncertainty_score":0.042529166},"labels":[],"label_agreement":null},{"id":"W2316640110","doi":"10.1089/met.2013.0127","title":"Variations in the Prevalence of Metabolic Syndrome in Adolescents According to Different Criteria Used for Diagnosis: Which Definition Should Be Chosen for This Age Group?","year":2014,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nutrasource","funders":"Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Medicine; Metabolic syndrome; Pediatrics; Demography; Gerontology; Obesity; Internal medicine","score_opus":0.025807894507247305,"score_gpt":0.27339201155876175,"score_spread":0.24758411705151445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316640110","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":[0.99395317,0.0037793901,0.0012325968,0.00032567128,0.000045065448,0.000026533624,0.00010269911,0.000007907244,0.00052706775],"genre_scores_gemma":[0.9974819,0.00074450386,0.0014641811,0.00007697165,0.000026571,0.000021535301,0.00015890293,0.00000464348,0.00002084341],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99556136,0.002237281,0.0007108658,0.00048093186,0.0007834598,0.00022617189],"domain_scores_gemma":[0.9863635,0.0057187025,0.0051328037,0.0005313379,0.0018215581,0.0004321176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008561083,0.00031091835,0.000647751,0.0018733819,0.0003731629,0.0007806739,0.0007605688,0.00062539737,0.000426726],"category_scores_gemma":[0.015619047,0.00023708942,0.000500473,0.0013322232,0.00091194356,0.00084701437,0.0006331785,0.0005430096,0.00014140907],"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":[0.000047661943,0.000010493271,0.9958494,0.00004338006,0.000035335575,0.000039461473,0.00022518967,0.000020665519,0.00017777989,0.00003434297,0.000056370962,0.0034598731],"study_design_scores_gemma":[0.000008129377,0.00007555142,0.99730563,0.00015057987,0.00006387558,0.00069321453,0.00082740776,0.00021127598,0.00024298292,0.00010625438,0.0003057598,0.0000092967375],"about_ca_topic_score_codex":0.0022449316,"about_ca_topic_score_gemma":0.0023730034,"teacher_disagreement_score":0.008561083,"about_ca_system_score_codex":0.0004681078,"about_ca_system_score_gemma":0.0004135118,"threshold_uncertainty_score":0.045275927},"labels":[],"label_agreement":null},{"id":"W2485913405","doi":"10.1089/met.2016.0055","title":"The Presence and Duration of Overweight Are Associated with Low-Grade Inflammation in Prepubertal Chilean Children","year":2016,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"World Health Organization","keywords":"Overweight; Medicine; Body mass index; Odds ratio; Obesity; Anthropometry; Confidence interval; Internal medicine; Cohort; Logistic regression; Pediatrics","score_opus":0.002992633076648082,"score_gpt":0.19740959444995299,"score_spread":0.19441696137330491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2485913405","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":[0.99910456,0.00034108254,0.00002807277,0.00003908536,0.0000025055397,0.0000038494354,0.0003025805,0.0000025558902,0.00017564987],"genre_scores_gemma":[0.99908185,0.00024898286,0.00008917792,0.000015310166,0.000004867865,0.000011160831,0.0003477321,0.0000021076237,0.00019884315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972564,0.000062695006,0.000026782336,0.00006708371,0.000047077996,0.00007069253],"domain_scores_gemma":[0.99819857,0.00019080886,0.0011252544,0.00009275112,0.00015161729,0.00024109785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047953578,0.00029971148,0.00031498642,0.00081650616,0.00035289116,0.0006469776,0.00035465622,0.0003985036,0.0018493517],"category_scores_gemma":[0.0013904241,0.00034946957,0.00041330745,0.00083795394,0.00032059033,0.00032607312,0.00046325487,0.000651429,0.00020092695],"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":[0.00008748895,0.000019331032,0.9989801,0.000013168557,0.000013685483,0.00007391919,0.00007383768,0.000009849127,0.00017477035,0.0000085529255,0.00004588596,0.0004994109],"study_design_scores_gemma":[0.0000016760491,0.00002065032,0.9997017,0.0000061877686,0.0000061653373,0.00007175887,0.00009621115,0.000018053317,0.00001866569,0.000005364549,0.00005256865,0.0000011065822],"about_ca_topic_score_codex":0.015995039,"about_ca_topic_score_gemma":0.019172473,"teacher_disagreement_score":0.015995039,"about_ca_system_score_codex":0.00047816845,"about_ca_system_score_gemma":0.00053965196,"threshold_uncertainty_score":0.031803846},"labels":[],"label_agreement":null},{"id":"W2544577603","doi":"10.1089/met.2016.0021","title":"Determinants of Improvement In Left Ventricular Diastolic Function Following a 1-Year Lifestyle Modification Program in Abdominally Obese Men with Features of the Metabolic Syndrome","year":2016,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre hospitalier universitaire de Québec; Université Laval; Centre hospitalier de l'Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Canadian Institutes of Health Research; Canadian Diabetes Association","keywords":"Medicine; Internal medicine; Metabolic syndrome; Cardiology; Abdominal obesity; Diastole; Physical therapy; Obesity; Diabetes mellitus; Blood pressure; Endocrinology","score_opus":0.0043855922162451535,"score_gpt":0.2214187397199855,"score_spread":0.21703314750374034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2544577603","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":[0.999663,0.0000973987,0.000029251672,0.000040458108,0.0000068751465,0.00001958519,0.000022605707,0.0000035711764,0.000117307805],"genre_scores_gemma":[0.9996649,0.000041519896,0.000086503045,0.00002633159,0.000011097168,0.000017979102,0.00006161352,5.975125e-7,0.000089512505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998123,0.000059184276,0.00001377225,0.000026066687,0.000032440763,0.00005626883],"domain_scores_gemma":[0.99936,0.000113200294,0.00018704004,0.000021919026,0.000055710927,0.00026212068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060990284,0.00030236627,0.00033305262,0.00023945616,0.0002876491,0.00023061092,0.00020033467,0.00041436235,0.000726138],"category_scores_gemma":[0.0013178398,0.00013868095,0.00032052828,0.00021494777,0.00011123502,0.00016120344,0.00021047889,0.0005326241,0.00009124124],"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":[0.0049751704,0.007906799,0.95811355,0.000069806614,0.00027690106,0.00011798085,0.0002227744,0.00034987956,0.002410088,0.000014938994,0.00023132244,0.025310839],"study_design_scores_gemma":[0.00009192025,0.0029718326,0.99641764,0.0000051956213,0.000053665048,0.000022687656,0.000045956287,0.0002283423,0.00009698145,0.000004486357,0.00005873612,0.0000026089397],"about_ca_topic_score_codex":0.0024780415,"about_ca_topic_score_gemma":0.0038658103,"teacher_disagreement_score":0.0024780415,"about_ca_system_score_codex":0.00018850551,"about_ca_system_score_gemma":0.00027454967,"threshold_uncertainty_score":0.0049272776},"labels":[],"label_agreement":null},{"id":"W2591490778","doi":"10.1089/met.2016.0103","title":"Physical Activity Contributes to Several Sleep–Cardiometabolic Health Relationships","year":2016,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Sleep and related disorders","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Medicine; Waist; Blood pressure; Metabolic syndrome; Internal medicine; Obesity; Actigraphy; National Health and Nutrition Examination Survey; Sleep hygiene; Endocrinology; Abdominal obesity; Insulin; Physical activity; Physical therapy; Sleep quality; Circadian rhythm; Insomnia; Environmental health; Population","score_opus":0.01360829916502942,"score_gpt":0.28125490611426424,"score_spread":0.2676466069492348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591490778","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":[0.99444515,0.0021339902,0.0014939077,0.00024767447,0.000013197688,0.000022441869,0.0006628729,0.000024771261,0.0009560912],"genre_scores_gemma":[0.998381,0.00044456133,0.0005533397,0.000041235635,0.000022971539,0.000017636388,0.00036067623,0.0000044038234,0.00017408618],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900264,0.0005054406,0.00008536678,0.00019288238,0.00013108505,0.000082562176],"domain_scores_gemma":[0.9946872,0.0025125965,0.0017724308,0.0004382353,0.00029147702,0.00029799558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014957478,0.0005130307,0.00040180245,0.00063316466,0.00027522715,0.0006061531,0.00031096872,0.00033590337,0.0018180704],"category_scores_gemma":[0.0061846403,0.00036645835,0.0010075086,0.0008582138,0.00028484446,0.00031924713,0.0009898593,0.00054415467,0.00026521258],"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":[0.0000870579,0.000052967254,0.994576,0.00003627411,0.00059407385,0.000025515794,0.00005520412,0.00014310068,0.00024009073,0.000027600625,0.000037003418,0.004125094],"study_design_scores_gemma":[0.0000033117115,0.000045109795,0.9991416,0.000008543505,0.00012546893,0.000046454727,0.00002436073,0.00037746833,0.000044830984,0.000058796006,0.000122069716,0.0000018441049],"about_ca_topic_score_codex":0.004214137,"about_ca_topic_score_gemma":0.007234719,"teacher_disagreement_score":0.004214137,"about_ca_system_score_codex":0.00020229736,"about_ca_system_score_gemma":0.0004242245,"threshold_uncertainty_score":0.008379221},"labels":[],"label_agreement":null},{"id":"W2593331758","doi":"10.1089/met.2016.0119","title":"Alanine Aminotransferase Is a Marker of Lipotoxicity Consequences and Hyperandrogenemia in Women with Polycystic Ovary Syndrome","year":2017,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Ovarian function and disorders","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Internal medicine; Lipotoxicity; Insulin resistance; Medicine; Endocrinology; Polycystic ovary; Metabolic syndrome; Steatosis; Triglyceride; Body mass index; Insulin; Homeostatic model assessment; Cholesterol; Obesity","score_opus":0.0075150252653609076,"score_gpt":0.22325732222175912,"score_spread":0.2157422969563982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593331758","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":[0.9964457,0.002526108,0.000116223186,0.000080971055,0.0000139560225,0.000012170487,0.00023377681,0.00000642131,0.00056486786],"genre_scores_gemma":[0.99927443,0.00040640862,0.000093473536,0.000019280194,0.000010104975,0.000005185484,0.00013487366,8.1274817e-7,0.000055432967],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997508,0.00006593645,0.000049061815,0.000045477955,0.0000628761,0.000025819783],"domain_scores_gemma":[0.9991103,0.00018012372,0.0005245778,0.000027810087,0.0000768582,0.000080449216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031433275,0.00021053207,0.00027282542,0.0008239646,0.00024850265,0.0002828756,0.00014535802,0.00022274657,0.00088808924],"category_scores_gemma":[0.0014173641,0.00014371974,0.00019991431,0.0009672453,0.000189672,0.0001780413,0.00021235722,0.00029676632,0.00012536609],"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":[0.00005006764,0.0000056153444,0.99857366,0.000012686421,0.000014557181,0.00012561881,0.000016354517,0.000007942109,0.00020674984,0.0000034511206,0.000025353767,0.00095798116],"study_design_scores_gemma":[0.000002488083,0.000058662095,0.9980369,0.000008722644,0.000026568094,0.0015486286,0.000055913817,0.000038459326,0.00009321472,0.000010616656,0.00011841721,0.0000014313308],"about_ca_topic_score_codex":0.0011390689,"about_ca_topic_score_gemma":0.0015775205,"teacher_disagreement_score":0.0011390689,"about_ca_system_score_codex":0.00019588639,"about_ca_system_score_gemma":0.00022937656,"threshold_uncertainty_score":0.002970934},"labels":[],"label_agreement":null},{"id":"W2607024667","doi":"10.1089/met.2016.0146","title":"Time-Dependent Differences in the Influence of Perivascular Adipose Tissue on Vasomotor Functions in Metabolic Syndrome","year":2017,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Endocrinology; Internal medicine; Medicine; Mesenteric arteries; Vasodilation; Adipose tissue; Vasomotor; Nitric oxide; Acetylcholine; Vascular smooth muscle; Endothelial dysfunction; Endothelium; Sodium nitroprusside; Cyclic guanosine monophosphate; Smooth muscle; Artery","score_opus":0.0069398031163017135,"score_gpt":0.22715823822712017,"score_spread":0.22021843511081846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607024667","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":[0.99840456,0.00071769964,0.00029049642,0.000022508306,0.000014657235,0.000010306782,0.00017260655,0.00000805194,0.00035925183],"genre_scores_gemma":[0.99767977,0.00056974887,0.00024666634,0.0000295476,0.00001654812,0.000042230713,0.0003655661,0.000005129151,0.001044872],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999206,0.000013006586,0.0000070998785,0.000022355882,0.000014102691,0.000022856415],"domain_scores_gemma":[0.9998198,0.000023075707,0.00004866889,0.000015394678,0.000018816447,0.000074339914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018070631,0.00023237799,0.0002399475,0.00027447482,0.00008058973,0.00017325347,0.00010488898,0.00022624382,0.0016286154],"category_scores_gemma":[0.00017935055,0.00015160351,0.0002650066,0.00013339521,0.00018939479,0.0001936839,0.00016817919,0.0005236706,0.00018653729],"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":[0.00794038,0.00023653911,0.009446034,0.000060794813,0.00003814938,0.0003875946,0.00008086915,0.000046621753,0.9764865,0.00008158148,0.00006648011,0.005128379],"study_design_scores_gemma":[0.0001410014,0.0052339537,0.8034525,0.000017649405,0.00011784827,0.0007503354,0.0002077599,0.0005186724,0.18826413,0.00012519104,0.0011490779,0.000021906004],"about_ca_topic_score_codex":0.00029344836,"about_ca_topic_score_gemma":0.00042311024,"teacher_disagreement_score":0.0016286154,"about_ca_system_score_codex":0.000110505964,"about_ca_system_score_gemma":0.00009064832,"threshold_uncertainty_score":0.005448222},"labels":[],"label_agreement":null},{"id":"W2612520604","doi":"10.1089/met.2017.0072","title":"Physical Activity, Body Mass Index, and Clustered Metabolic Risk in U.S. Adolescents: 2007–2012 Nhanes","year":2018,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Medicine; Overweight; Body mass index; National Health and Nutrition Examination Survey; Percentile; Obesity; Demography; Internal medicine; Gerontology; Endocrinology; Environmental health; Population","score_opus":0.0064746151334800295,"score_gpt":0.2481133214667237,"score_spread":0.2416387063332437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612520604","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":[0.9894872,0.00036999612,0.00016284596,0.000084124156,0.000023646893,0.0000493462,0.009026045,0.000015906522,0.0007810094],"genre_scores_gemma":[0.98787796,0.00029013865,0.0004558383,0.000074133204,0.000022123697,0.00014484086,0.010791355,0.0000068352665,0.00033676063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996014,0.000095838615,0.00007560743,0.00007559128,0.0001163975,0.000035168032],"domain_scores_gemma":[0.9987717,0.00014365846,0.00057479605,0.00006552478,0.00028965255,0.00015452731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008083709,0.0002870913,0.00026886427,0.000885793,0.00028805583,0.00037311757,0.00041472295,0.00029307036,0.0008044859],"category_scores_gemma":[0.0016032646,0.0002644082,0.00037287525,0.0014551337,0.0001454932,0.0002387663,0.00034452885,0.00050526677,0.00025092444],"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":[0.00003040826,0.000027834316,0.99877983,0.0000134122565,0.000051321997,0.000009157895,0.000044083085,0.00004184455,0.000034802786,0.0000104910405,0.00035753468,0.0005992929],"study_design_scores_gemma":[0.0000024669428,0.000014824458,0.99959964,0.000006153724,0.0000146694765,0.000020474674,0.00006621267,0.00006934094,0.000017667484,0.0000036405404,0.00018382887,0.0000010464867],"about_ca_topic_score_codex":0.03133959,"about_ca_topic_score_gemma":0.05110011,"teacher_disagreement_score":0.03133959,"about_ca_system_score_codex":0.00045789868,"about_ca_system_score_gemma":0.00043474836,"threshold_uncertainty_score":0.06231433},"labels":[],"label_agreement":null},{"id":"W2724658181","doi":"10.1089/met.2016.0156","title":"Determinants of Incident Metabolic Syndrome in a Middle Eastern Population: Isfahan Cohort Study","year":2017,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Metabolic syndrome; Odds ratio; Waist; Overweight; Confidence interval; Internal medicine; Prospective cohort study; Population; Obesity; Incidence (geometry); Diabetes mellitus; Cohort study; Logistic regression; Cohort; Demography; Endocrinology; Environmental health","score_opus":0.012764439737060696,"score_gpt":0.25739875686602376,"score_spread":0.24463431712896305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2724658181","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":[0.9984738,0.00015543871,0.00005932489,0.000104868406,0.000018182202,0.000041966752,0.0006858085,0.0000038501694,0.00045666198],"genre_scores_gemma":[0.9973912,0.00024767962,0.00017899752,0.00012530528,0.000055157176,0.00009870542,0.0014575138,0.0000032400299,0.00044219152],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996284,0.00006974537,0.000024750936,0.00006416421,0.00012482703,0.00008794438],"domain_scores_gemma":[0.99971455,0.000020326783,0.00008581735,0.00003163002,0.000070442606,0.00007724362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008579465,0.00048300115,0.00052697764,0.001093854,0.0007895274,0.0005845677,0.00057001435,0.0005304592,0.0012156211],"category_scores_gemma":[0.00068334606,0.00035056542,0.0005366584,0.0017959217,0.00020261781,0.00050615397,0.00042762634,0.0007227723,0.00027350514],"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":[0.000085835054,0.00015486173,0.9982886,0.000008189879,0.00008722045,0.00010757302,0.0000949957,0.000019862946,0.00010699525,0.000024882822,0.00031706755,0.0007040048],"study_design_scores_gemma":[0.000023397793,0.000053411542,0.99930763,0.0000058660344,0.000043445893,0.00009136378,0.00013976918,0.00010091295,0.000014156293,0.000017438248,0.00020049175,0.000002175317],"about_ca_topic_score_codex":0.012115032,"about_ca_topic_score_gemma":0.014066477,"teacher_disagreement_score":0.012115032,"about_ca_system_score_codex":0.00044854663,"about_ca_system_score_gemma":0.00083700666,"threshold_uncertainty_score":0.024089038},"labels":[],"label_agreement":null},{"id":"W2739851738","doi":"10.1089/met.2016.0147","title":"Association Between Handgrip Muscle Strength and Cardiometabolic z-Score in Children 6 to 19 Years of Age: Results from the Canadian Health Measures Survey","year":2017,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa; University of Manitoba; University of New Brunswick","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Cardiorespiratory fitness; Confounding; Body mass index; Hand strength; Isometric exercise; Physical therapy; Demography; Blood pressure; National Health and Nutrition Examination Survey; Internal medicine; Cross-sectional study; Physical fitness; Grip strength; Environmental health; Population","score_opus":0.03286361848619387,"score_gpt":0.2952713825645108,"score_spread":0.26240776407831695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739851738","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":[0.9675501,0.0017626033,0.00022098448,0.00035037406,0.000021596,0.00006725231,0.027817108,0.000023603596,0.002186377],"genre_scores_gemma":[0.98626596,0.001052662,0.00045934977,0.00009457096,0.000010070114,0.000045820496,0.011575948,0.00000865499,0.00048700604],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987594,0.00007832625,0.00007891617,0.00019651595,0.00065308705,0.00023383855],"domain_scores_gemma":[0.99791795,0.00011064393,0.00050371775,0.00006347895,0.0010571716,0.00034709042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010649769,0.00043587963,0.00054627156,0.0015362485,0.0010086338,0.00070579996,0.001390352,0.00039620203,0.0013887878],"category_scores_gemma":[0.0024584446,0.0003406834,0.0008600414,0.0035398903,0.00035326442,0.0002734178,0.0007173851,0.00071320956,0.00021633542],"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":[0.000020607356,0.0000073710744,0.99829,0.000032054355,0.000068300375,0.000015698286,0.00007224098,0.000041838626,0.00004247314,0.000018438084,0.00052445906,0.0008665252],"study_design_scores_gemma":[0.0000013127574,0.0000042765996,0.99969494,0.0000072122516,0.000013300628,0.00001051006,0.00006526134,0.00003870598,0.000010110356,0.0000019940699,0.00015063073,0.0000018048609],"about_ca_topic_score_codex":0.97603446,"about_ca_topic_score_gemma":0.9816851,"teacher_disagreement_score":0.023965538,"about_ca_system_score_codex":0.006963469,"about_ca_system_score_gemma":0.009709788,"threshold_uncertainty_score":0.050523818},"labels":[],"label_agreement":null},{"id":"W2741915075","doi":"10.1089/met.2017.0027","title":"Association Between Plasma Proprotein Convertase Subtilisin/Kexin Type 9 and the Presence of Metabolic Syndrome in a Predominantly Rural-Based Sub-Saharan African Population","year":2017,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal; Montreal Clinical Research Institute","funders":"Sysmex Corporation; International Business Machines Corporation","keywords":"PCSK9; Medicine; Kexin; Metabolic syndrome; Internal medicine; Waist; Endocrinology; Body mass index; Dyslipidemia; Proprotein convertase; Population; Diabetes mellitus; Cholesterol; Lipoprotein; LDL receptor; Environmental health","score_opus":0.0075302172872540735,"score_gpt":0.23335009059072923,"score_spread":0.22581987330347514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741915075","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":[0.9996481,0.00011728156,0.000018297715,0.000021527965,0.000002195136,0.0000035226653,0.00006942926,5.979568e-7,0.00011913143],"genre_scores_gemma":[0.99969923,0.000101237485,0.000044347922,0.000013378605,0.0000049383716,0.000005018877,0.00005854088,5.540858e-7,0.00007277829],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981683,0.000053497955,0.000018144121,0.000046057074,0.000029893721,0.00003557077],"domain_scores_gemma":[0.99958986,0.00006522686,0.00018624814,0.000019674624,0.00004713044,0.00009183954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032786676,0.00033556152,0.00026895246,0.0006110508,0.00070603576,0.0004431663,0.0002672055,0.0003677219,0.0018727044],"category_scores_gemma":[0.0010204902,0.00034632147,0.00020709966,0.0008317267,0.00031807597,0.00026334048,0.0002778725,0.00041345521,0.00015550091],"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":[0.00010107484,0.000030175011,0.9987863,0.000008636295,0.000029939787,0.00013072325,0.00009720049,0.00001013463,0.00036107047,0.000009019971,0.00003993706,0.0003958842],"study_design_scores_gemma":[0.000006519108,0.00006590682,0.9990621,0.0000067258925,0.00002196484,0.000388792,0.00026771493,0.000070256596,0.000025032443,0.000011062546,0.00007176051,0.0000020888767],"about_ca_topic_score_codex":0.008039779,"about_ca_topic_score_gemma":0.010094917,"teacher_disagreement_score":0.008039779,"about_ca_system_score_codex":0.00023195386,"about_ca_system_score_gemma":0.00033616048,"threshold_uncertainty_score":0.015985966},"labels":[],"label_agreement":null},{"id":"W2800047041","doi":"10.1089/met.2018.0035","title":"Metabolic Syndrome Diagnosis: The Sooner the Better","year":2018,"lang":"en","type":"letter","venue":"Metabolic Syndrome and Related Disorders","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Metabolic syndrome; Medicine; Download; Internal medicine; World Wide Web; Obesity; Computer science","score_opus":0.00795430598791453,"score_gpt":0.21252530758674232,"score_spread":0.2045710015988278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800047041","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00084272446,0.0051317695,0.000096074196,0.98161113,0.010190492,0.0000047757367,0.0000241023,0.00001259,0.0020862734],"genre_scores_gemma":[0.015509448,0.008615349,0.0005748142,0.8480351,0.12162137,0.000024179137,0.00005231811,0.000019140007,0.0055483105],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982638,0.0006786302,0.0002035374,0.00022633122,0.00041166457,0.00021611922],"domain_scores_gemma":[0.9966593,0.0011837205,0.00029482224,0.00011654504,0.000751783,0.0009939022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013197585,0.0006946374,0.0012513918,0.0009014536,0.0025786073,0.0029468152,0.0008205793,0.023848739,0.007653884],"category_scores_gemma":[0.011587091,0.00030817348,0.00071290956,0.0006259018,0.0017659,0.004869871,0.0011082386,0.028552312,0.003046957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020337982,0.00020258442,0.012120535,0.00017985955,0.00006314543,0.014805542,0.00031607118,0.00014410117,0.00060712267,0.008116069,0.91994965,0.043291952],"study_design_scores_gemma":[0.00044484294,0.0002820489,0.011649651,0.0021988186,0.00011366229,0.055915084,0.002637479,0.0010446012,0.00039106177,0.03932407,0.88582116,0.000177469],"about_ca_topic_score_codex":0.0044090664,"about_ca_topic_score_gemma":0.005360336,"teacher_disagreement_score":0.023848739,"about_ca_system_score_codex":0.0026699444,"about_ca_system_score_gemma":0.0015803628,"threshold_uncertainty_score":0.025604844},"labels":[],"label_agreement":null},{"id":"W2801372465","doi":"10.1089/met.2017.0179","title":"Relationship of Selected Adipokines with Markers of Vascular Damage in Patients with Type 2 Diabetes","year":2018,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":31,"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":"Faculty of Medicine and Dentistry, University of Alberta","keywords":"Adipokine; Medicine; Adiponectin; Internal medicine; Von Willebrand factor; Endocrinology; Plasminogen activator; Plasminogen activator inhibitor-1; Type 2 diabetes; Diabetes mellitus; Insulin resistance","score_opus":0.003999585215157766,"score_gpt":0.1996267382029382,"score_spread":0.19562715298778044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801372465","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":[0.9989643,0.00058432913,0.00006759026,0.000023737412,0.0000107587075,0.000004649326,0.000108106105,0.000002083293,0.00023445398],"genre_scores_gemma":[0.99938154,0.00017244507,0.000114401766,0.000029861478,0.000023519062,0.000007761616,0.00017016787,0.0000012598699,0.000098974764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970526,0.000075135096,0.000049138762,0.00007260112,0.000050669834,0.000047187066],"domain_scores_gemma":[0.9990619,0.00022848933,0.00036909507,0.000044013606,0.00009970732,0.00019687979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041787207,0.0003853872,0.00042605147,0.0007446276,0.00037925635,0.0006977591,0.00017452936,0.0005090034,0.0014068345],"category_scores_gemma":[0.0011635326,0.00019633908,0.00031158837,0.0008523997,0.00018831364,0.00024585822,0.00027912416,0.0005606298,0.00018145444],"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":[0.00029771074,0.000036454876,0.9981882,0.000010177002,0.000059026188,0.000107864726,0.000029258757,0.000020681506,0.0002819927,0.0000051759903,0.000025506924,0.00093791744],"study_design_scores_gemma":[0.000017574952,0.00029732214,0.9985275,0.0000073827136,0.00006228937,0.0006624452,0.00010087582,0.00007693875,0.00009797577,0.000017971975,0.00012816368,0.0000035246342],"about_ca_topic_score_codex":0.00070459733,"about_ca_topic_score_gemma":0.0007267773,"teacher_disagreement_score":0.0014068345,"about_ca_system_score_codex":0.0001460804,"about_ca_system_score_gemma":0.00012433545,"threshold_uncertainty_score":0.0047063828},"labels":[],"label_agreement":null},{"id":"W2803586418","doi":"10.1089/met.2018.0021","title":"Commentary on: “Effects of Regular Physical Activity on the Cognitive Performance of Type 2 Diabetic Patients: A Systematic Review” by Podolski et al. (Metab Syndr Relat Disord 2017;15:481–493)","year":2018,"lang":"en","type":"letter","venue":"Metabolic Syndrome and Related Disorders","topic":"Dementia and Cognitive Impairment Research","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":"London Health Sciences Centre; Centre for Family Medicine; Western University","funders":"","keywords":"Medicine; Cognition; Glycated hemoglobin; Psychological intervention; Population; Randomized controlled trial; Type 2 diabetes; Aerobic exercise; Gerontology; Systematic review; Physical therapy; Type 2 Diabetes Mellitus; MEDLINE; Clinical psychology; Diabetes mellitus; Psychiatry; Surgery","score_opus":0.006812048853103713,"score_gpt":0.2602526245822074,"score_spread":0.25344057572910367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803586418","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00021806793,0.03180606,0.00020138966,0.7938889,0.16992761,0.00028441355,0.0022969688,0.00010945837,0.0012671078],"genre_scores_gemma":[0.0020597978,0.018710185,0.00031185074,0.89979696,0.072939396,0.0007903821,0.0006325107,0.000087566994,0.004671498],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98930407,0.00380551,0.0018731742,0.001146547,0.0032186373,0.0006520227],"domain_scores_gemma":[0.94727594,0.029903704,0.0041856156,0.00078820455,0.01609182,0.001754733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014147611,0.0021680137,0.0056999996,0.0033627735,0.0025654694,0.004303638,0.006751804,0.026315223,0.02043682],"category_scores_gemma":[0.095609695,0.0013586727,0.0049593686,0.0034263555,0.002349214,0.004779875,0.0034706579,0.014820693,0.0074458173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079760146,0.000005408174,0.00005527575,0.00426424,0.0000989699,0.00008048767,0.00007722558,0.000023810268,0.000043421493,0.00022699827,0.99180615,0.0032382084],"study_design_scores_gemma":[0.0010722404,0.00014079314,0.001525292,0.05689529,0.0012214159,0.000589001,0.0004508572,0.00023297252,0.00030457263,0.0034287586,0.93397796,0.00016092612],"about_ca_topic_score_codex":0.023903016,"about_ca_topic_score_gemma":0.025829973,"teacher_disagreement_score":0.026315223,"about_ca_system_score_codex":0.007908609,"about_ca_system_score_gemma":0.016557788,"threshold_uncertainty_score":0.07482058},"labels":[],"label_agreement":null},{"id":"W2868619500","doi":"10.1089/met.2017.0177","title":"Should Waist Circumference Cutoffs in the Context of Cardiometabolic Risk Factor Assessment be Specific to Sex, Age, and BMI?","year":2018,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Health and Social Services Centre University Institute of Geriatrics of Sherbrooke","funders":"","keywords":"Medicine; Waist; Body mass index; Context (archaeology); Overweight; Logistic regression; Metabolic syndrome; Risk assessment; Risk factor; Obesity; Receiver operating characteristic; Odds ratio; Demography; Internal medicine","score_opus":0.02130518908391242,"score_gpt":0.27480212608814447,"score_spread":0.25349693700423204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2868619500","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":[0.85383725,0.033373848,0.057229236,0.041440487,0.0034738681,0.0002692182,0.00125159,0.0005079181,0.00861656],"genre_scores_gemma":[0.96522105,0.0018773595,0.028908754,0.0024760463,0.00052505056,0.000115666444,0.00042399424,0.000052508283,0.00039965915],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9948657,0.0025344514,0.0007791773,0.0006553232,0.0008919418,0.00027336463],"domain_scores_gemma":[0.9861872,0.005364901,0.003578651,0.0009829585,0.0033418785,0.0005444329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0111518195,0.00072121597,0.00093293906,0.0009601392,0.00040236342,0.0015557122,0.0008560434,0.0012927947,0.0009599421],"category_scores_gemma":[0.056722518,0.00026876765,0.00048489228,0.0010209117,0.0007413236,0.001655471,0.00052847335,0.0014670402,0.00053944415],"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":[0.001493142,0.00030583786,0.7838487,0.0006148125,0.0003631875,0.00039678285,0.0006021768,0.003027209,0.0038560804,0.0015920718,0.011836241,0.19206378],"study_design_scores_gemma":[0.00030552802,0.0012264684,0.9281859,0.0022189303,0.0006282057,0.0020289463,0.0019720157,0.026553314,0.00838012,0.010829487,0.017464178,0.00020699023],"about_ca_topic_score_codex":0.0034630944,"about_ca_topic_score_gemma":0.005864318,"teacher_disagreement_score":0.0111518195,"about_ca_system_score_codex":0.0005537009,"about_ca_system_score_gemma":0.0019341606,"threshold_uncertainty_score":0.058977187},"labels":[],"label_agreement":null},{"id":"W2899021566","doi":"10.1089/met.2018.0080","title":"The Association Between Metabolic Syndrome and Serum Concentrations of Micronutrients, Inflammation, and Oxidative Stress Outside of the Clinical Reference Ranges: A Cross-Sectional Study","year":2018,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Antioxidant Activity and Oxidative Stress","field":"Medicine","cited_by":28,"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":"Medicine; Odds ratio; Micronutrient; National Health and Nutrition Examination Survey; Internal medicine; Reference range; Confidence interval; Metabolic syndrome; Vitamin E; Body mass index; Oxidative stress; Cross-sectional study; Physiology; Obesity; Environmental health; Population; Pathology; Antioxidant; Biochemistry; Biology","score_opus":0.02198544474134967,"score_gpt":0.31228293021216746,"score_spread":0.2902974854708178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899021566","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":[0.998823,0.00030626619,0.00026320192,0.00003025802,0.000009490893,0.00002298697,0.0003149883,0.0000033000483,0.00022643404],"genre_scores_gemma":[0.99862707,0.00015843038,0.0005056021,0.000074375595,0.000014379945,0.000041788946,0.00043840072,0.0000020609389,0.000137869],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989355,0.0004510559,0.00011906399,0.00023620062,0.0001823345,0.000075765885],"domain_scores_gemma":[0.9974195,0.00060923124,0.00085834664,0.00033930497,0.0004329552,0.0003406697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027036746,0.00040064758,0.0003789024,0.00061357976,0.00052739447,0.0006148299,0.00039112868,0.0005975119,0.0009677509],"category_scores_gemma":[0.0028901994,0.00068187196,0.00046710737,0.00088812056,0.0003313677,0.0004963831,0.0004729516,0.00089487346,0.00025179223],"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":[0.000113951544,0.00008560988,0.9990054,0.000008726896,0.00014137235,0.000023332255,0.000060066057,0.000013001461,0.00017206924,0.000010821757,0.000038656235,0.00032705584],"study_design_scores_gemma":[0.000020444564,0.00035952145,0.99875426,0.000008245782,0.00011171357,0.0002550797,0.00012481569,0.00013796259,0.000058229532,0.000014401857,0.00015103175,0.0000043177306],"about_ca_topic_score_codex":0.0041283513,"about_ca_topic_score_gemma":0.0049491525,"teacher_disagreement_score":0.0041283513,"about_ca_system_score_codex":0.00022852585,"about_ca_system_score_gemma":0.00042790952,"threshold_uncertainty_score":0.014298618},"labels":[],"label_agreement":null},{"id":"W2916392925","doi":"10.1089/met.2018.0092","title":"Benefits of 1-Year Lifestyle Modification Program on Exercise Capacity and Diastolic Function Among Coronary Artery Disease Men With and Without Type 2 Diabetes","year":2019,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research; Tekes; Université Laval","keywords":"Medicine; Cardiology; Internal medicine; Prediabetes; Ejection fraction; Diastole; Coronary artery disease; Cardiorespiratory fitness; Cardiac function curve; Diabetes mellitus; Impaired glucose tolerance; Type 2 diabetes; VO2 max; Cardiac magnetic resonance imaging; Physical therapy; Endocrinology; Blood pressure; Heart failure; Heart rate; Magnetic resonance imaging","score_opus":0.007018150878515256,"score_gpt":0.20255220244582495,"score_spread":0.19553405156730969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916392925","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":[0.99963737,0.00016635018,0.000015204904,0.000036096102,0.000008152597,0.000011092249,0.000024910312,0.000002246793,0.00009856468],"genre_scores_gemma":[0.99955446,0.00008696377,0.000060716,0.000057449186,0.000025117995,0.000018290957,0.00008588834,4.877156e-7,0.000110594156],"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99981457,0.000059073776,0.000011160241,0.00002975366,0.000025300054,0.000060103706],"domain_scores_gemma":[0.9995912,0.00009685929,0.00009834352,0.000015081236,0.000026269905,0.00017239853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045672758,0.0003230753,0.00041708848,0.00024721,0.00024481775,0.000234241,0.00016041055,0.00046958777,0.00076261756],"category_scores_gemma":[0.00109313,0.00014470542,0.00040974846,0.00015707218,0.00011353754,0.00013494966,0.00019401584,0.0003712318,0.00007887924],"study_design_candidate":"nonrandomized_trial","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":[0.020492613,0.01643717,0.8890452,0.00016527178,0.0010673649,0.0002057372,0.0003174427,0.0008130688,0.0042088414,0.000030922227,0.0004940894,0.06672235],"study_design_scores_gemma":[0.0005824483,0.00836436,0.9901147,0.000013411094,0.0001819412,0.00005682383,0.00005940831,0.00031110487,0.00016381886,0.000008748097,0.00013748187,0.000005751391],"about_ca_topic_score_codex":0.0016636613,"about_ca_topic_score_gemma":0.003800692,"teacher_disagreement_score":0.0016636613,"about_ca_system_score_codex":0.00015426568,"about_ca_system_score_gemma":0.00018870116,"threshold_uncertainty_score":0.0033079982},"labels":[],"label_agreement":null},{"id":"W2943443904","doi":"10.1089/met.2018.0122","title":"The Association Between Six Surrogate Insulin Resistance Indexes and Hypertension: A Population-Based Study","year":2019,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":164,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Science North","funders":"","keywords":"Medicine; Insulin resistance; Internal medicine; Body mass index; Waist; Hypertriglyceridemia; Population; Diabetes mellitus; Endocrinology; Triglyceride; Insulin; Cholesterol; Environmental health","score_opus":0.005232071623120784,"score_gpt":0.20723312844797026,"score_spread":0.20200105682484948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943443904","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":[0.9991105,0.00015113188,0.00027934933,0.000016004282,0.0000062947597,0.000018159804,0.00015480604,0.0000032540918,0.00026049893],"genre_scores_gemma":[0.99937385,0.000083126884,0.0002239741,0.000019351583,0.000014527875,0.000018402718,0.00021150366,0.0000019036063,0.00005338783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983297,0.000719018,0.00018677949,0.00036366924,0.00027549727,0.00012536734],"domain_scores_gemma":[0.9975599,0.0005656834,0.0007498091,0.0004577094,0.0003091211,0.00035784085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002638844,0.0004404471,0.00060814986,0.000976964,0.00050739467,0.0008347995,0.00048280417,0.00073130155,0.0009671463],"category_scores_gemma":[0.0035070963,0.00053757965,0.00087200024,0.0014285872,0.00046957034,0.0006298747,0.0006176629,0.00095738325,0.0002616604],"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":[0.00016723218,0.00007092039,0.99885213,0.000008232924,0.00012979444,0.000052952033,0.00005687868,0.000024217396,0.00012760046,0.0000116011315,0.000021286163,0.00047704665],"study_design_scores_gemma":[0.000020605508,0.00029456653,0.9988908,0.0000038456947,0.000089696725,0.00027383503,0.00010042501,0.00019583457,0.00003258924,0.000016631117,0.00007665972,0.000004574665],"about_ca_topic_score_codex":0.0014724048,"about_ca_topic_score_gemma":0.00150084,"teacher_disagreement_score":0.002638844,"about_ca_system_score_codex":0.00025801625,"about_ca_system_score_gemma":0.00041780996,"threshold_uncertainty_score":0.013955712},"labels":[],"label_agreement":null},{"id":"W2949532993","doi":"10.1089/met.2018.0136","title":"Metabolic Syndrome Components and Long-Term Incidence of Cardiovascular Disease in Eastern Mediterranean Region: A 13-Year Population-Based Cohort Study","year":2019,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":14,"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":"Medicine; Metabolic syndrome; Odds ratio; Hazard ratio; Waist; Internal medicine; Confidence interval; Incidence (geometry); Cohort; Population; Blood pressure; Disease; Logistic regression; Waist-to-height ratio; Cohort study; Demography; Body mass index; Obesity; Environmental health","score_opus":0.010630447273701481,"score_gpt":0.22739048275719645,"score_spread":0.21676003548349496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949532993","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":[0.99867165,0.00017598632,0.000089714165,0.000035127247,0.00000820695,0.000025015857,0.00076871476,0.0000040557393,0.00022156198],"genre_scores_gemma":[0.9982304,0.00017210933,0.00019697311,0.000043204473,0.000017951297,0.000051793428,0.0010268992,0.000002760845,0.00025787757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996624,0.00007806804,0.0000393058,0.00008185324,0.00007820948,0.000060174098],"domain_scores_gemma":[0.99946684,0.0000373829,0.00019299518,0.00007357183,0.000097204036,0.00013200825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010235055,0.0004860371,0.0005593307,0.00077010965,0.0005537088,0.0006233735,0.00051672844,0.00064718793,0.0009937269],"category_scores_gemma":[0.0008789125,0.00048453882,0.0008909026,0.0013030426,0.0001909462,0.00051375176,0.00044784983,0.0008026115,0.000275123],"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":[0.00008616762,0.000050482777,0.99919134,0.0000049068954,0.00010446915,0.0000341078,0.00003757996,0.000016342254,0.000076847944,0.0000048812717,0.00007146047,0.0003214233],"study_design_scores_gemma":[0.000008524176,0.000052482053,0.9996562,0.0000029777943,0.000036966292,0.000045390636,0.00005577843,0.00006829308,0.000009811032,0.0000045403167,0.000057068624,0.000001913417],"about_ca_topic_score_codex":0.0108181015,"about_ca_topic_score_gemma":0.01051721,"teacher_disagreement_score":0.0108181015,"about_ca_system_score_codex":0.0002992093,"about_ca_system_score_gemma":0.00042422573,"threshold_uncertainty_score":0.021510243},"labels":[],"label_agreement":null},{"id":"W2979988467","doi":"10.1089/met.2019.0077","title":"Insulin Resistance Among Pregnant Women in Urban Areas of Arusha Region, Tanzania","year":2019,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Gestational Diabetes Research and Management","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 Saskatchewan","funders":"","keywords":"Medicine; Insulin resistance; Odds ratio; Family history; Diabetes mellitus; Confidence interval; Pregnancy; Internal medicine; Obstetrics; Blood pressure; Endocrinology","score_opus":0.004746954221748837,"score_gpt":0.2132533505171269,"score_spread":0.20850639629537807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979988467","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":[0.9994649,0.0002047753,0.000031166564,0.00005625164,0.000003160263,0.000010417015,0.000054945584,0.0000020643881,0.00017214003],"genre_scores_gemma":[0.9995666,0.00017590533,0.00007330202,0.000032755317,0.0000036872266,0.00001448274,0.0000437217,4.793489e-7,0.00008897316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982053,0.0000642202,0.000016936097,0.000031417807,0.000026300377,0.000040581275],"domain_scores_gemma":[0.99977845,0.00004123771,0.000108816115,0.000010107739,0.000021669095,0.000039715218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003134846,0.00022115752,0.0001901983,0.00041728077,0.0004116838,0.0002720433,0.00019429595,0.0001959101,0.00080316694],"category_scores_gemma":[0.00075876544,0.00027853588,0.00012842228,0.0004046506,0.0002660567,0.00017268794,0.00024108517,0.00024178153,0.00009529598],"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":[0.000042031395,0.00005226523,0.9959365,0.000028161521,0.000012447963,0.00055250886,0.0008785889,0.000015370773,0.00075810065,0.000021140639,0.00011186341,0.0015910715],"study_design_scores_gemma":[0.000008503193,0.0001360402,0.997419,0.000023563936,0.000013173733,0.00064330094,0.0014582691,0.00008709337,0.00005376588,0.000014674025,0.00013970633,0.0000028458207],"about_ca_topic_score_codex":0.009086879,"about_ca_topic_score_gemma":0.013045767,"teacher_disagreement_score":0.009086879,"about_ca_system_score_codex":0.00023255529,"about_ca_system_score_gemma":0.00033091026,"threshold_uncertainty_score":0.018067956},"labels":[],"label_agreement":null},{"id":"W3138432615","doi":"10.1089/met.2020.0136","title":"Two Weekly Sessions of High-Intensity Interval Training Improve Metabolic Syndrome and Hypertriglyceridemic Waist Phenotype in Older Adults: A Randomized Controlled Trial","year":2021,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Cardiovascular and exercise physiology","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Medicine; High-intensity interval training; Interval training; Randomized controlled trial; Waist; Physical therapy; Blood pressure; Metabolic syndrome; Heart rate; Continuous training; Internal medicine; Body mass index; Obesity","score_opus":0.005867720515219058,"score_gpt":0.23301436615181914,"score_spread":0.2271466456366001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138432615","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":[0.9803797,0.0090346215,0.00065476703,0.00053662993,0.0009356324,0.0064494386,0.00079931394,0.0001331763,0.0010766906],"genre_scores_gemma":[0.9685967,0.006983915,0.0026503769,0.0013496131,0.0011595093,0.015829882,0.00092440296,0.00002258217,0.0024829255],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.998604,0.0006146833,0.00018174856,0.00028607,0.00012892882,0.0001846098],"domain_scores_gemma":[0.9985403,0.00047484372,0.0003516477,0.00011870811,0.00013136257,0.00038313528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022986017,0.0015693599,0.005207508,0.00075689505,0.00071643514,0.0010844613,0.0012403646,0.002920052,0.0067448434],"category_scores_gemma":[0.0030531685,0.00095760816,0.002949243,0.0007990558,0.00096416083,0.0009991627,0.00065816153,0.002295046,0.00065838016],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9816689,0.007890706,0.00043357245,0.0010793873,0.001626155,0.00001786705,0.000033167817,0.000093083036,0.0005566411,0.000027409273,0.00021140883,0.006361638],"study_design_scores_gemma":[0.9728414,0.02432342,0.001507632,0.000060286697,0.00091380905,0.000006402396,0.0000135610735,0.00012279618,0.000069722955,0.000023789304,0.0001106973,0.0000064783408],"about_ca_topic_score_codex":0.0030198826,"about_ca_topic_score_gemma":0.0039368058,"teacher_disagreement_score":0.0067448434,"about_ca_system_score_codex":0.00074169843,"about_ca_system_score_gemma":0.0013996058,"threshold_uncertainty_score":0.022563696},"labels":[],"label_agreement":null},{"id":"W3188450391","doi":"10.1089/met.2021.0049","title":"Trends in Serum AST-to-ALT Ratio Among U.S. Adults: Analysis of the U.S. National Health and Nutrition Examination Survey","year":2021,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Folate and B Vitamins Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Medicine; National Health and Nutrition Examination Survey; Demography; Ethnic group; Subgroup analysis; Gerontology; Population; Internal medicine; Confidence interval; Environmental health","score_opus":0.014299643759064768,"score_gpt":0.29106022982577306,"score_spread":0.2767605860667083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188450391","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":[0.98495954,0.0010006635,0.00029849214,0.00019889307,0.000024919114,0.000023876786,0.01233037,0.000035736262,0.0011275371],"genre_scores_gemma":[0.98992914,0.0005387183,0.0004388937,0.00011423672,0.000020753816,0.000039446488,0.008706326,0.000008928873,0.00020357946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993405,0.00016757009,0.000101711536,0.00017157859,0.00015589903,0.00006271821],"domain_scores_gemma":[0.99796116,0.00019770522,0.0009646399,0.00014317602,0.00056519144,0.00016800048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001072626,0.000275651,0.00032106045,0.0014060696,0.00022815466,0.00045523368,0.0003389279,0.00029313183,0.0006599438],"category_scores_gemma":[0.0023468984,0.00019604222,0.00048958545,0.0032950994,0.00016002542,0.0004427873,0.00037448973,0.00048270478,0.00024152231],"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":[0.000036167618,0.0000116806805,0.99774253,0.000016588143,0.00007136448,0.000012278931,0.000044761422,0.00005513836,0.00007150686,0.000021150938,0.00054813724,0.0013687816],"study_design_scores_gemma":[0.0000020661382,0.000020392774,0.99913764,0.000008476274,0.000021631244,0.000047359354,0.000095225136,0.0002178339,0.00003877442,0.000014221728,0.00039404826,0.0000023126172],"about_ca_topic_score_codex":0.025838995,"about_ca_topic_score_gemma":0.032145754,"teacher_disagreement_score":0.025838995,"about_ca_system_score_codex":0.0004048113,"about_ca_system_score_gemma":0.0006383321,"threshold_uncertainty_score":0.051377177},"labels":[],"label_agreement":null},{"id":"W3197239575","doi":"10.1089/met.2021.0024","title":"Exploring the Association of a Total Physical Activity Energy Expenditure and Diabetes Mellitus in Adults: A Cross-Sectional Analysis of the Canadian Health Measures Survey","year":2021,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Physical Activity and Health","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":true,"ca_institutions":"Université de Moncton; Université de Sherbrooke; University of New Brunswick","funders":"","keywords":"Medicine; Cross-sectional study; Metabolic equivalent; Waist; Glycated hemoglobin; Diabetes mellitus; Demography; Total energy expenditure; Energy expenditure; Gerontology; Body mass index; Physical activity; Sedentary lifestyle; Physical therapy; Internal medicine; Endocrinology; Type 2 diabetes","score_opus":0.030232017213074138,"score_gpt":0.27627763367299196,"score_spread":0.24604561645991782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197239575","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":[0.9807271,0.0015869142,0.00023584282,0.00025082505,0.000022866398,0.00008180569,0.01540931,0.000016140726,0.0016691225],"genre_scores_gemma":[0.99088484,0.00075316353,0.00048295615,0.00011198049,0.000010930319,0.00005110677,0.0071917144,0.0000058452415,0.0005074638],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983215,0.00018979385,0.0001644753,0.00033013403,0.00074588595,0.00024822695],"domain_scores_gemma":[0.9973506,0.00021411784,0.0005410967,0.00015830879,0.0012793953,0.00045646267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021387923,0.00047331804,0.00068894256,0.0017165353,0.0014366542,0.0010545442,0.0015100612,0.0005843524,0.0015627912],"category_scores_gemma":[0.003350016,0.00050526584,0.0011853651,0.0054365024,0.00037731332,0.00036485362,0.00081075885,0.0008527227,0.0002001098],"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":[0.000048594808,0.000015238321,0.9982503,0.000028754483,0.0001535723,0.000015430229,0.00009566773,0.00003288729,0.00005749808,0.000022767654,0.00032292015,0.00095627096],"study_design_scores_gemma":[0.0000029915254,0.000011591066,0.99957615,0.000006890716,0.000034748882,0.000011263229,0.00009005785,0.00009160875,0.00000844865,0.000003123274,0.00016019952,0.0000028669003],"about_ca_topic_score_codex":0.97967875,"about_ca_topic_score_gemma":0.97592926,"teacher_disagreement_score":0.02032125,"about_ca_system_score_codex":0.0077771614,"about_ca_system_score_gemma":0.01108418,"threshold_uncertainty_score":0.05642748},"labels":[],"label_agreement":null},{"id":"W3207751885","doi":"10.1089/met.2021.0070","title":"Is Shift Work Sleep Disorder a Risk Factor for Metabolic Syndrome and Its Components? A Systematic Review of Cross-Sectional Studies","year":2021,"lang":"en","type":"review","venue":"Metabolic Syndrome and Related Disorders","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":21,"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":"Shift work; Medicine; Checklist; Metabolic syndrome; Insulin resistance; Dyslipidemia; Obesity; Observational study; Systematic review; Gerontology; MEDLINE; Internal medicine; Psychiatry; Psychology","score_opus":0.05311393124929785,"score_gpt":0.3644937499044171,"score_spread":0.3113798186551192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207751885","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":[0.0013091952,0.99758315,0.00013958814,0.00018976511,0.00009276609,0.00021232224,0.0003633372,0.0000049984906,0.00010488443],"genre_scores_gemma":[0.020472974,0.97714704,0.0005995005,0.00047270372,0.000097086944,0.00074365805,0.0003798578,0.0000054172388,0.00008172828],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.987981,0.0031378134,0.005887161,0.0010945451,0.0016378829,0.00026155342],"domain_scores_gemma":[0.96001434,0.027095422,0.008269173,0.0007260859,0.0035596183,0.00033540095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012153174,0.0015186634,0.01047553,0.010849825,0.0007580941,0.0028267873,0.0019086084,0.0018104255,0.0035375415],"category_scores_gemma":[0.054686632,0.0014182978,0.012420948,0.012989282,0.00093217177,0.0024306977,0.0016123248,0.0011622388,0.00024350827],"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":[0.0001986114,0.000014932651,0.0026822463,0.95410025,0.023839,0.00012533087,0.0002167579,0.00007644055,0.0001184542,0.00012344168,0.0008116152,0.017692804],"study_design_scores_gemma":[0.0002475169,0.00024442526,0.015079828,0.7626811,0.20961963,0.000566598,0.00041930255,0.00011484015,0.00016049699,0.00027305257,0.01053413,0.000059033297],"about_ca_topic_score_codex":0.011560122,"about_ca_topic_score_gemma":0.025686665,"teacher_disagreement_score":0.012153174,"about_ca_system_score_codex":0.00415192,"about_ca_system_score_gemma":0.012958469,"threshold_uncertainty_score":0.06427294},"labels":[],"label_agreement":null},{"id":"W4200385642","doi":"10.1089/met.2021.0042","title":"Examining the Efficacy of a Very-Low-Carbohydrate Ketogenic Diet on Cardiovascular Health in Adults with Mildly Elevated Low-Density Lipoprotein Cholesterol in an Open-Label Pilot Study","year":2021,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Diet and metabolism studies","field":"Medicine","cited_by":168,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sciencetech (Canada)","funders":"","keywords":"Medicine; Ketogenic diet; Internal medicine; Endocrinology; Overweight; Blood pressure; Body mass index; Glycated hemoglobin; Cholesterol; Lipid profile; Ketone bodies; Diabetes mellitus; Type 2 diabetes","score_opus":0.02486186816651736,"score_gpt":0.26444782028092284,"score_spread":0.23958595211440548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200385642","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":[0.998654,0.00019934418,0.00018648343,0.000028765782,0.00002517315,0.000630325,0.00010266596,0.00001101396,0.00016230975],"genre_scores_gemma":[0.99424016,0.0004911981,0.0020333768,0.00019563832,0.000120249475,0.0019202156,0.00038764643,0.000006546838,0.00060489663],"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9995882,0.00018356222,0.00004690997,0.00005963919,0.00006491887,0.00005671318],"domain_scores_gemma":[0.9988972,0.00028204176,0.00023214797,0.00012202007,0.00013030235,0.00033628804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014780922,0.00060012523,0.0013557528,0.00033707297,0.00038261293,0.0004297874,0.0005979879,0.0006723503,0.0016808314],"category_scores_gemma":[0.0010937471,0.00030465802,0.0008313539,0.000252294,0.00061555166,0.0005705647,0.00036346895,0.0011957592,0.00025025834],"study_design_candidate":"nonrandomized_trial","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":[0.68807673,0.20605826,0.010403796,0.0009189836,0.00070208387,0.00013001656,0.00029795052,0.00040072104,0.038572248,0.000059211467,0.0003676799,0.054012276],"study_design_scores_gemma":[0.059154797,0.91961646,0.017490197,0.000027244796,0.00020063177,0.00004788556,0.00008500892,0.00035479345,0.0026264598,0.000034220895,0.00034613075,0.000016074753],"about_ca_topic_score_codex":0.0004191757,"about_ca_topic_score_gemma":0.0008856108,"teacher_disagreement_score":0.0016808314,"about_ca_system_score_codex":0.000264442,"about_ca_system_score_gemma":0.0006596115,"threshold_uncertainty_score":0.00781697},"labels":[],"label_agreement":null},{"id":"W4293475078","doi":"10.1089/met.2022.0056","title":"Impact of Lifestyle Modification on Quality of Life in Patients with Metabolic Syndrome: Findings from the CHANGE Program Intervention Study in Prince Edward Island, Canada","year":2022,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Medicine; Waist; Anthropometry; Physical therapy; Quality of life (healthcare); Metabolic equivalent; Physical fitness; Metabolic syndrome; Gerontology; Blood pressure; Test (biology); Body mass index; Obesity; Physical activity; Internal medicine; Nursing","score_opus":0.02382632780300524,"score_gpt":0.31832450320889927,"score_spread":0.294498175405894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293475078","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":[0.9968053,0.0007299827,0.000050580027,0.0004136476,0.000017447346,0.00017672793,0.00080200756,0.0000048472593,0.0009994118],"genre_scores_gemma":[0.9964199,0.00071059924,0.00022863371,0.00031545947,0.000015864378,0.00013666997,0.0012065455,0.000003540834,0.0009627322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923944,0.00012478323,0.000034782788,0.00006607819,0.00024479532,0.000290182],"domain_scores_gemma":[0.9989085,0.00006330221,0.00011626791,0.000024985404,0.00041467062,0.0004723376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077903824,0.00031734357,0.0006061338,0.00038653405,0.0016798618,0.00054848916,0.0005262493,0.00038962168,0.0008767571],"category_scores_gemma":[0.0013488438,0.00021318838,0.00061686046,0.0012542192,0.0003751699,0.00018872996,0.0005668103,0.0007573402,0.0001001142],"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":[0.00195798,0.0016004137,0.96680284,0.00014134374,0.00029288977,0.00018423943,0.001048965,0.00013778539,0.00046953818,0.00005650712,0.0019699032,0.025337521],"study_design_scores_gemma":[0.00012022093,0.00015106719,0.99900585,0.000016973225,0.00003965029,0.000010908709,0.00026957956,0.00007400631,0.00002008714,0.0000031103666,0.00028397588,0.0000045076986],"about_ca_topic_score_codex":0.96077,"about_ca_topic_score_gemma":0.97663784,"teacher_disagreement_score":0.03922999,"about_ca_system_score_codex":0.009247156,"about_ca_system_score_gemma":0.015519288,"threshold_uncertainty_score":0.07892197},"labels":[],"label_agreement":null},{"id":"W4296778048","doi":"10.1089/met.2022.0045","title":"Pulmonary Function in Metabolic Syndrome: A Meta-Analysis","year":2022,"lang":"en","type":"review","venue":"Metabolic Syndrome and Related Disorders","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":13,"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":"Medicine; Funnel plot; Meta-analysis; Publication bias; Cochrane Library; Internal medicine; Confidence interval; Pulmonary function testing; Random effects model; Vital capacity; Strictly standardized mean difference; Lung function; Lung; Diffusing capacity","score_opus":0.040330488560977054,"score_gpt":0.3116638885709579,"score_spread":0.27133340000998085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296778048","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":[0.010967147,0.9852931,0.002040598,0.00035149264,0.00027697918,0.00023733435,0.00050878426,0.00005525643,0.0002693244],"genre_scores_gemma":[0.34479278,0.64295274,0.007515932,0.0011192374,0.0007241276,0.001289367,0.0011556146,0.00007105233,0.0003791625],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.98555815,0.0090741785,0.0024554634,0.0013495431,0.0011393124,0.00042328495],"domain_scores_gemma":[0.98383904,0.0122757405,0.0021106729,0.0007426355,0.0008274982,0.00020438134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021722643,0.0045297216,0.020720655,0.010457173,0.00075922336,0.0046070633,0.002227421,0.0027461343,0.0029907012],"category_scores_gemma":[0.028963726,0.002017821,0.07764251,0.007915589,0.0006255142,0.0017796635,0.0017241209,0.0022450287,0.0002902566],"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":[0.0019082273,0.000029307683,0.005107558,0.05263134,0.9329603,0.00012152158,0.000026548616,0.0014611024,0.00021586496,0.00009341406,0.00021434407,0.0052304287],"study_design_scores_gemma":[0.00039004174,0.00017307716,0.002851203,0.0035718333,0.99166906,0.00009301413,0.000014186135,0.0004366361,0.00008543325,0.00018120816,0.00051871676,0.00001560079],"about_ca_topic_score_codex":0.004073512,"about_ca_topic_score_gemma":0.007157962,"teacher_disagreement_score":0.021722643,"about_ca_system_score_codex":0.00251789,"about_ca_system_score_gemma":0.002427084,"threshold_uncertainty_score":0.114881694},"labels":[],"label_agreement":null},{"id":"W4366978244","doi":"10.1089/met.2022.0065","title":"Identifying Sex-Specific Differences in Young-Onset Metabolic Syndrome Using Primary Care Electronic Medical Records","year":2023,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Northern Alberta Institute of Technology; Diabetes Canada; Alberta Health; University of Alberta Hospital; University of Alberta","funders":"","keywords":"Medicine; Metabolic syndrome; Body mass index; Glycated hemoglobin; Hypertriglyceridemia; Medical record; Diabetes mellitus; Population; Internal medicine; Dyslipidemia; Demography; Pediatrics; Type 2 diabetes; Endocrinology; Cholesterol; Triglyceride; Environmental health","score_opus":0.013709766452581897,"score_gpt":0.2433400176358682,"score_spread":0.2296302511832863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366978244","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":[0.99817896,0.00025850078,0.00021056308,0.000053899133,0.0000043959208,0.00003607291,0.0005889193,0.000004995327,0.0006636232],"genre_scores_gemma":[0.99875546,0.00013444976,0.00038454728,0.000036196674,0.0000066872876,0.000018927023,0.0005453403,0.000001011067,0.000117367395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898714,0.0002261307,0.00010285654,0.00015616139,0.00039081735,0.0001368428],"domain_scores_gemma":[0.9982784,0.00026956442,0.0009831814,0.000086317676,0.00026014994,0.00012241359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009884401,0.00017759946,0.00020008328,0.001558567,0.00032108187,0.00061535515,0.0004590652,0.0002863524,0.0008282891],"category_scores_gemma":[0.0044604708,0.00016209927,0.00025230434,0.0014392937,0.00020338391,0.0003297768,0.00044545194,0.000169689,0.00011289422],"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":[0.000011830996,0.0000062630174,0.9988362,0.0000045085662,0.000009135496,0.000025969219,0.00005128638,0.0000107929745,0.000060389917,0.000006212116,0.000041498773,0.0009358089],"study_design_scores_gemma":[0.0000016495507,0.000014691269,0.99963737,0.0000050528506,0.0000050572958,0.00007340019,0.00009863492,0.00007862826,0.000020170812,0.0000042543143,0.00006035576,7.0904963e-7],"about_ca_topic_score_codex":0.10865628,"about_ca_topic_score_gemma":0.18337321,"teacher_disagreement_score":0.10865628,"about_ca_system_score_codex":0.0007471339,"about_ca_system_score_gemma":0.0010030034,"threshold_uncertainty_score":0.2160477},"labels":[],"label_agreement":null},{"id":"W4381469899","doi":"10.1089/met.2023.0013","title":"Is There a Link Between Non-Alcoholic Fatty Liver Disease and Benign Prostate Hyperplasia/Lower Urinary Tract Symptoms: A Systematic Review and a Meta-Analysis","year":2023,"lang":"en","type":"review","venue":"Metabolic Syndrome and Related Disorders","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":2,"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":"Medicine; Lower urinary tract symptoms; Meta-analysis; Cochrane Library; Prostate; International Prostate Symptom Score; Fatty liver; Hyperplasia; Internal medicine; Nonalcoholic fatty liver disease; Urology; Prostate cancer; Systematic review; MEDLINE; Disease; Gastroenterology; Cancer","score_opus":0.04010365659373338,"score_gpt":0.31158578646775364,"score_spread":0.27148212987402026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381469899","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":[0.0038222766,0.9946768,0.00035123783,0.00020181302,0.00013498888,0.00022786556,0.00038652375,0.000017659755,0.00018072451],"genre_scores_gemma":[0.14791214,0.8464057,0.0018850593,0.0010425586,0.0003270922,0.0012302521,0.00082946446,0.000030750583,0.0003370201],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99153745,0.003543173,0.002660915,0.00095085276,0.0009674057,0.00034027873],"domain_scores_gemma":[0.9781812,0.015785199,0.0035183597,0.0005593249,0.001627026,0.00032891094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012672178,0.0028380353,0.023383334,0.008814379,0.00087368314,0.0041605127,0.0027255516,0.0031169134,0.0043598353],"category_scores_gemma":[0.031040797,0.0017763095,0.044348057,0.009640119,0.00089948624,0.0024806608,0.0018444493,0.0017662874,0.00033219263],"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":[0.0010869975,0.000022571965,0.0039711758,0.4548894,0.5321126,0.00015424978,0.00009425305,0.00034129963,0.00016469785,0.00011076309,0.00045747092,0.0065944833],"study_design_scores_gemma":[0.00027044234,0.00011172303,0.0025969013,0.029544147,0.9660501,0.00008882592,0.000048875572,0.00011706541,0.00005910923,0.00012641032,0.00096614484,0.00002025669],"about_ca_topic_score_codex":0.009490504,"about_ca_topic_score_gemma":0.02120516,"teacher_disagreement_score":0.023383334,"about_ca_system_score_codex":0.003465567,"about_ca_system_score_gemma":0.0047289166,"threshold_uncertainty_score":0.067017674},"labels":[],"label_agreement":null},{"id":"W4381611229","doi":"10.1089/met.2023.0003","title":"Antipsychotic-Induced Metabolic Syndrome: A Review","year":2023,"lang":"en","type":"review","venue":"Metabolic Syndrome and Related Disorders","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":47,"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 Laval; Institut universitaire de cardiologie et de pneumologie de Québec; University of Manitoba","funders":"","keywords":"Metabolic syndrome; Medicine; Antipsychotic; Aripiprazole; Ziprasidone; Clozapine; Population; Quetiapine; Schizophrenia (object-oriented programming); Dyslipidemia; Olanzapine; Internal medicine; Psychiatry; Obesity","score_opus":0.04486957839488371,"score_gpt":0.35128232895002365,"score_spread":0.30641275055513995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381611229","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":[0.00012628788,0.99942076,0.000018753108,0.00010938533,0.00009042144,0.000007611806,0.00003201058,0.0000024623298,0.00019231386],"genre_scores_gemma":[0.00070738205,0.9989235,0.00005280513,0.00011428589,0.000101540805,0.000008924293,0.000038190505,6.238e-7,0.00005268737],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9994659,0.00008487275,0.00022456539,0.00006979285,0.00012157691,0.000033361386],"domain_scores_gemma":[0.9982065,0.0010471647,0.0004333398,0.000028714363,0.00023239623,0.000051829935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078774925,0.0009638113,0.0021590372,0.004787175,0.00043664477,0.0012658264,0.0011347439,0.0011661362,0.004110708],"category_scores_gemma":[0.0023307255,0.00036642552,0.001882176,0.0054831137,0.00033282218,0.0010413408,0.0006737916,0.0009064931,0.00051667006],"study_design_candidate":"systematic_review","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":[0.0002329991,0.00009340976,0.0013297986,0.4747854,0.0012560545,0.0011443838,0.0002125364,0.00024166456,0.0005780297,0.0009772129,0.030533561,0.48861495],"study_design_scores_gemma":[0.00014860339,0.00043137287,0.011277648,0.36989766,0.010761627,0.014648047,0.00036744247,0.00021928671,0.000521894,0.0017313844,0.58989954,0.00009554799],"about_ca_topic_score_codex":0.002772451,"about_ca_topic_score_gemma":0.0036121083,"teacher_disagreement_score":0.004787175,"about_ca_system_score_codex":0.0008569983,"about_ca_system_score_gemma":0.0029381881,"threshold_uncertainty_score":0.013751626},"labels":[],"label_agreement":null},{"id":"W4381738774","doi":"10.1089/met.2023.0022","title":"ABO Blood Type and Metabolic Markers in COVID-19 Susceptibility and Severity: A Cross-Sectional Study","year":2023,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Blood groups and transfusion","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":"McMaster University","funders":"","keywords":"Medicine; ABO blood group system; Cross-sectional study; Internal medicine; Blood type (non-human); Blood lipids; Case-control study; Immunology; Gastroenterology; Cholesterol; Pathology","score_opus":0.013757543483104132,"score_gpt":0.28760738846029665,"score_spread":0.2738498449771925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381738774","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":[0.9992766,0.00013998254,0.0000903778,0.00001355859,0.000007120719,0.000011162153,0.00019661547,0.0000014400601,0.00026309205],"genre_scores_gemma":[0.99939024,0.000068849586,0.00010400618,0.000030975756,0.000010737971,0.000011057846,0.00025612384,0.0000012341065,0.00012675725],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959964,0.00012981083,0.00003866662,0.000105299594,0.0000602764,0.00006636173],"domain_scores_gemma":[0.9991379,0.0001305543,0.00028815024,0.00009714461,0.00011809873,0.00022814829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078263215,0.00035732953,0.00032200522,0.0005504429,0.00047565225,0.00047240546,0.00021042529,0.0005229396,0.0013721832],"category_scores_gemma":[0.0010997216,0.00040007776,0.00038878535,0.000721754,0.00018898367,0.00038323388,0.0003287588,0.0005783949,0.00025067816],"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":[0.00010562224,0.000055395398,0.9992449,0.0000041809276,0.00004993582,0.000029284425,0.00003856534,0.000007751901,0.00016594729,0.0000074745994,0.000028663426,0.0002622103],"study_design_scores_gemma":[0.0000071071927,0.00019701135,0.9993092,0.0000035900766,0.00003101338,0.00014449414,0.000098015626,0.00006539562,0.000033644297,0.00001017216,0.00009840732,0.0000019761728],"about_ca_topic_score_codex":0.0030011097,"about_ca_topic_score_gemma":0.0028846462,"teacher_disagreement_score":0.0030011097,"about_ca_system_score_codex":0.00013619923,"about_ca_system_score_gemma":0.00016414726,"threshold_uncertainty_score":0.005967319},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W4383895056","doi":"10.1089/met.2023.0014","title":"<i>FAAH</i> Pro129Thr Variant Is Associated with Increased Cholesterol Levels in Normal-Weight Metabolically Unhealthy Subjects","year":2023,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Cannabis and Cannabinoid Research","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":"Université du Québec; Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Fatty acid amide hydrolase; Endocrinology; Internal medicine; Medicine; Endocannabinoid system; Insulin resistance; Population; Metabolic syndrome; Homeostatic model assessment; Body mass index; Cholesterol; Obesity; Cannabinoid receptor","score_opus":0.010284855660846628,"score_gpt":0.2553245443916749,"score_spread":0.24503968873082826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383895056","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":[0.9995167,0.00007465016,0.000071571674,0.000022642897,0.0000048613483,0.000004783881,0.00011752466,0.0000035336147,0.00018374545],"genre_scores_gemma":[0.9995732,0.00004423138,0.00007812662,0.00002002401,0.000009929284,0.0000051647526,0.00012795697,0.0000019610613,0.00013948484],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987864,0.000026145699,0.000016613893,0.000042379444,0.000018069328,0.000018122535],"domain_scores_gemma":[0.99960643,0.000053242416,0.0002231688,0.000031255277,0.000025516723,0.000060373924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023230708,0.0003472379,0.00027223662,0.00047212388,0.00032938216,0.0003953386,0.00018967237,0.00040086225,0.0025871855],"category_scores_gemma":[0.00062453427,0.00024594308,0.00027434112,0.0005210226,0.00022588643,0.00016589937,0.00020245947,0.00037879313,0.00026706263],"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":[0.0010208662,0.000112014306,0.99277437,0.000016453521,0.00010171821,0.00043790572,0.000097331125,0.00003073688,0.0037433137,0.000032969758,0.000120086275,0.0015122236],"study_design_scores_gemma":[0.00002435492,0.00016314213,0.99834144,0.000004832953,0.000060462553,0.0008596961,0.0000734132,0.00014616996,0.0001812622,0.00003030247,0.00011186928,0.00000304069],"about_ca_topic_score_codex":0.0020306439,"about_ca_topic_score_gemma":0.0012997388,"teacher_disagreement_score":0.0025871855,"about_ca_system_score_codex":0.000084863954,"about_ca_system_score_gemma":0.00007882856,"threshold_uncertainty_score":0.008655071},"labels":[],"label_agreement":null},{"id":"W4394920506","doi":"10.1089/met.2024.0004","title":"The Global Prevalence of Metabolic Syndrome in Connection with Sleep Duration: A Systematic Review and Meta-Analysis","year":2024,"lang":"en","type":"review","venue":"Metabolic Syndrome and Related Disorders","topic":"Sleep and related disorders","field":"Psychology","cited_by":7,"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":"Medicine; Meta-analysis; Confidence interval; Demography; Metabolic syndrome; Cohort study; Cohort; Internal medicine; Obesity","score_opus":0.019648369129381935,"score_gpt":0.3056217024468577,"score_spread":0.28597333331747576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394920506","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":[0.0038881267,0.99373204,0.00057618687,0.00022033094,0.00013830441,0.0005261242,0.0006915153,0.000029685903,0.0001976038],"genre_scores_gemma":[0.10979238,0.88190407,0.0031395094,0.0008876091,0.00024099948,0.0025192779,0.0011589373,0.000036615005,0.0003205868],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.98951834,0.0036787558,0.004026533,0.001078772,0.0013024851,0.00039503723],"domain_scores_gemma":[0.98254275,0.0116723785,0.0028713471,0.00059867394,0.0020697373,0.0002450319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0151244495,0.003137139,0.022100724,0.010639744,0.000982678,0.0039170445,0.002283078,0.0023159746,0.0035764005],"category_scores_gemma":[0.035883944,0.001964668,0.04211872,0.010848172,0.00085306854,0.002282184,0.0021427802,0.0018909673,0.00035933818],"study_design_candidate":"meta_analysis","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":[0.0008096815,0.00002221933,0.004862713,0.56936747,0.41464198,0.00016691697,0.00012909075,0.00038472397,0.00020212015,0.00012038136,0.0005851131,0.0087076],"study_design_scores_gemma":[0.0002700338,0.000119859586,0.0041506,0.048089445,0.9452955,0.0001362441,0.000057009554,0.00015714743,0.00009984499,0.00013644069,0.0014583891,0.000029586325],"about_ca_topic_score_codex":0.010329557,"about_ca_topic_score_gemma":0.026797628,"teacher_disagreement_score":0.022100724,"about_ca_system_score_codex":0.0037994082,"about_ca_system_score_gemma":0.0069614844,"threshold_uncertainty_score":0.07998669},"labels":[],"label_agreement":null},{"id":"W4403049862","doi":"10.1089/met.2024.0177","title":"Association Between Relative Grip Strength, Insulin Resistance, and Nonalcoholic Fatty Liver Disease Among Middle-Aged and Older Adults: A Prospective Cohort Study","year":2024,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Liver Disease Diagnosis and Treatment","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":"Institute of Aging","funders":"","keywords":"Medicine; Nonalcoholic fatty liver disease; Insulin resistance; Prospective cohort study; Internal medicine; Grip strength; Cohort study; Cohort; Disease; Fatty liver; Gerontology; Obesity; Physical therapy","score_opus":0.005474456820107002,"score_gpt":0.22081560573141276,"score_spread":0.21534114891130576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403049862","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":[0.99769104,0.0006703647,0.00014488475,0.00005232012,0.00001430579,0.0000108176655,0.0010959784,0.0000059559356,0.00031449698],"genre_scores_gemma":[0.99803287,0.00036204048,0.0002099448,0.00006906587,0.000033199183,0.00001798009,0.0010111039,0.0000028737186,0.0002608933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999471,0.00014696749,0.00007794896,0.00013993942,0.000092893795,0.000071291215],"domain_scores_gemma":[0.99862874,0.00016179534,0.00058253796,0.00026086223,0.00015165095,0.00021445319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014118509,0.00048555923,0.00048403774,0.0007525868,0.0004384387,0.000722617,0.00045599503,0.00052264985,0.0012179131],"category_scores_gemma":[0.0016626378,0.00045166182,0.000866248,0.0011901803,0.00022370329,0.00047069608,0.0005003821,0.00072515296,0.0002445721],"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":[0.00011621101,0.000029940758,0.9990435,0.00000786199,0.00021446738,0.000023924069,0.000016810178,0.000011973591,0.00013448804,0.0000061792734,0.0000366322,0.00035787048],"study_design_scores_gemma":[0.000008495477,0.00008712803,0.9995235,0.0000047213125,0.00010206748,0.00008685914,0.000035239078,0.00004605344,0.000021215586,0.0000071137224,0.00007510032,0.0000024601886],"about_ca_topic_score_codex":0.0058907727,"about_ca_topic_score_gemma":0.007823977,"teacher_disagreement_score":0.0058907727,"about_ca_system_score_codex":0.00016519582,"about_ca_system_score_gemma":0.00029774348,"threshold_uncertainty_score":0.011712968},"labels":[],"label_agreement":null},{"id":"W4407754760","doi":"10.1089/met.2024.0184","title":"A Comparison of Metabolic-Associated Fatty Liver Disease and Steatotic Liver Disease in a Cohort of Egyptian People Living with Human Immunodeficiency Virus","year":2025,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Liver Disease Diagnosis and Treatment","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":"Université de Sherbrooke","funders":"","keywords":"Medicine; Fatty liver; Human immunodeficiency virus (HIV); Disease; Cohort; Liver disease; Steatosis; Cohort study; Internal medicine; Virology","score_opus":0.007285347621534718,"score_gpt":0.2548071690273885,"score_spread":0.24752182140585377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407754760","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":[0.99963605,0.00010184463,0.000015599684,0.000011351771,0.0000012270124,0.0000053222952,0.000104442515,5.1469453e-7,0.00012368706],"genre_scores_gemma":[0.99961686,0.00007524462,0.000030726194,0.000013104242,0.0000034601135,0.000006624094,0.00019174152,3.6255645e-7,0.00006186539],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972814,0.00004991968,0.000044855893,0.000061592975,0.00005570058,0.00005986512],"domain_scores_gemma":[0.9995003,0.00005837944,0.00025883212,0.000034144843,0.00006172575,0.00008665657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005095874,0.00023794541,0.0002389143,0.0011741504,0.0004219315,0.00059754803,0.00024572277,0.00038815397,0.0012820209],"category_scores_gemma":[0.0011848357,0.00024322196,0.0003083604,0.00080284366,0.00021530283,0.00046337658,0.00054640276,0.00028374806,0.00013315007],"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":[0.000067040935,0.000014783056,0.9992093,0.0000063805396,0.000023702803,0.000051051593,0.00008834908,0.0000071134727,0.00008030885,0.000006833611,0.000014390662,0.00043072036],"study_design_scores_gemma":[0.0000040790887,0.000060335668,0.9991579,0.0000062215763,0.000013559823,0.00022957943,0.00038952962,0.00004086859,0.00002010319,0.000006468256,0.00006993096,0.0000014211149],"about_ca_topic_score_codex":0.0058991225,"about_ca_topic_score_gemma":0.0072460603,"teacher_disagreement_score":0.0058991225,"about_ca_system_score_codex":0.00028994514,"about_ca_system_score_gemma":0.00028213492,"threshold_uncertainty_score":0.011729598},"labels":[],"label_agreement":null},{"id":"W4414104739","doi":"10.1177/15578518251376624","title":"Sleep Disturbances and Metabolic Syndrome in Shift Workers: A Systematic Review","year":2025,"lang":"en","type":"review","venue":"Metabolic Syndrome and Related Disorders","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Shift work; Metabolic syndrome; Sleep (system call); Psychological intervention; Sleep disorder; Sleep deprivation; Inclusion (mineral)","score_opus":0.012841326789612752,"score_gpt":0.29462533868571505,"score_spread":0.2817840118961023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414104739","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":[0.001425076,0.99749607,0.000117151576,0.00021187449,0.00009010533,0.00021910979,0.0002689571,0.000005841657,0.00016568054],"genre_scores_gemma":[0.01808451,0.9800586,0.00045484744,0.0003775373,0.00009546977,0.0005853578,0.00023137586,0.0000038152048,0.00010851993],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99481446,0.0017247413,0.0018759207,0.00047602903,0.00092726573,0.0001816571],"domain_scores_gemma":[0.9790552,0.014655193,0.0042647156,0.00029319245,0.001494829,0.00023689032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005952883,0.0013568973,0.0068904534,0.006795317,0.000648609,0.0024369576,0.0017289075,0.0019060957,0.0035252622],"category_scores_gemma":[0.029883666,0.00095390016,0.0059533995,0.0083007235,0.00071499153,0.0017085366,0.001364078,0.000950841,0.00026327372],"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":[0.00013029136,0.0000129892915,0.0012617593,0.96779096,0.0075933,0.00009706913,0.00020238374,0.000082203514,0.000081845945,0.00013897935,0.0011182289,0.021489954],"study_design_scores_gemma":[0.00017477851,0.00018927807,0.007965929,0.9124331,0.06562763,0.00040404894,0.00032135393,0.00009915867,0.000102330894,0.00025924787,0.012386422,0.000036731773],"about_ca_topic_score_codex":0.009189629,"about_ca_topic_score_gemma":0.024847325,"teacher_disagreement_score":0.009189629,"about_ca_system_score_codex":0.0030572223,"about_ca_system_score_gemma":0.011524504,"threshold_uncertainty_score":0.03148222},"labels":[],"label_agreement":null}]}