{"meta":{"query_hash":"a47c48bd7b56","filters":{"venue":"Epidemiology and Health"},"cohort_total":22,"direct_labels_cover":0,"predictions_cover":22,"exported":22,"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/a47c48bd7b56","api":"https://metacan.xera.ac/api/v1/cohort?venue=Epidemiology+and+Health"},"results":[{"id":"W2077651608","doi":"10.4178/epih/e2012007","title":"A Population Health Surveillance Theory","year":2012,"lang":"en","type":"article","venue":"Epidemiology and Health","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","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":"École Nationale d'Administration Publique; Université de Montréal","funders":"","keywords":"Population health; Population; Public health; Medicine; Public health surveillance; Process (computing); Audit; Environmental health; Computer science; Business; Pathology","score_opus":0.12622918278271542,"score_gpt":0.3678803587955075,"score_spread":0.2416511760127921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077651608","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031150734,0.0049112537,0.55154085,0.06385455,0.0007487496,0.0011072415,0.00088918203,0.00021174872,0.3455857],"genre_scores_gemma":[0.843179,0.0047531077,0.12348537,0.0057336707,0.0010937846,0.0014256543,0.00063973357,0.000056560213,0.019633189],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9916504,0.0048835296,0.00032733806,0.0011045912,0.001638399,0.00039570982],"domain_scores_gemma":[0.9776619,0.016955514,0.0011212577,0.0009140971,0.0028436687,0.00050357665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011147266,0.0006575653,0.00045372755,0.0037145657,0.0017010657,0.00438514,0.0023920608,0.0024269419,0.009048305],"category_scores_gemma":[0.015867848,0.0003528797,0.0011776086,0.00257563,0.011191447,0.0059753656,0.0028420016,0.002823758,0.0008463024],"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":[0.0000053086724,0.00003605039,0.0019261874,0.000107134016,0.00001151742,0.000052587846,0.0016289526,0.0018145619,0.000031969746,0.98136085,0.0023289204,0.0106958635],"study_design_scores_gemma":[0.000038082228,0.0000827687,0.0021314484,0.0004915868,0.00003674903,0.00034133028,0.0023449655,0.018266559,0.00019360159,0.91856337,0.057483934,0.000025613957],"about_ca_topic_score_codex":0.0068727448,"about_ca_topic_score_gemma":0.0019188283,"teacher_disagreement_score":0.011147266,"about_ca_system_score_codex":0.0059369593,"about_ca_system_score_gemma":0.0066297012,"threshold_uncertainty_score":0.058953047},"labels":[],"label_agreement":null},{"id":"W2098694618","doi":"10.4178/epih/e2011005","title":"Quality of Cohort Studies Reporting Post the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement","year":2011,"lang":"en","type":"article","venue":"Epidemiology and Health","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":77,"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":"Strengthening the reporting of observational studies in epidemiology; Observational study; Medicine; Checklist; Cohort study; Epidemiology; Consolidated Standards of Reporting Trials; Family medicine; Cohort; Impact factor; MEDLINE; Alternative medicine; Psychology; Internal medicine; Pathology","score_opus":0.9874478623792707,"score_gpt":0.7307545263402262,"score_spread":0.25669333603904454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098694618","genre_codex":"methods","genre_gemma":"empirical","domain_codex":"methods","domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21790524,0.152364,0.40578103,0.07442985,0.024101367,0.07314758,0.032963768,0.0018139291,0.017493214],"genre_scores_gemma":[0.5956031,0.024385182,0.2782413,0.014389744,0.0039260834,0.06831168,0.012731366,0.00065730774,0.0017542721],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.17657517,0.39432544,0.3474945,0.011830873,0.06686295,0.0029111023],"domain_scores_gemma":[0.05786203,0.5127524,0.20072037,0.09061995,0.13515534,0.0028898942],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.7104109,0.0013707804,0.0058940095,0.014972148,0.0024657126,0.008008182,0.0048010186,0.003429912,0.0022433097],"category_scores_gemma":[0.85268426,0.001998172,0.007972257,0.017567918,0.0063480795,0.005884518,0.006320564,0.004306743,0.00056707324],"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":[0.009149552,0.00043635524,0.36322132,0.1738297,0.026340602,0.00082245196,0.029422268,0.0028947259,0.006341927,0.016663998,0.047055736,0.3238214],"study_design_scores_gemma":[0.0044437777,0.0038999286,0.5525785,0.12255549,0.03181039,0.0027392625,0.009637727,0.0121649485,0.016983729,0.03843135,0.20311221,0.001642647],"about_ca_topic_score_codex":0.002923693,"about_ca_topic_score_gemma":0.0025127756,"teacher_disagreement_score":0.2895891,"about_ca_system_score_codex":0.005988709,"about_ca_system_score_gemma":0.015227306,"threshold_uncertainty_score":0.35711497},"labels":[],"label_agreement":null},{"id":"W2343495206","doi":"10.4178/epih.e2016014","title":"A suggestion for quality assessment in systematic reviews of observational studies in nutritional epidemiology","year":2016,"lang":"en","type":"article","venue":"Epidemiology and Health","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":115,"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":"Jeju National University","keywords":"Observational study; Medicine; Subgroup analysis; Meta-analysis; Cohort study; Equivalence (formal languages); Epidemiology; Quality Score; Statistics; Cohort; Internal medicine; Mathematics; Operations management","score_opus":0.9841354879680473,"score_gpt":0.7448717149373107,"score_spread":0.23926377303073654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343495206","genre_codex":"commentary","genre_gemma":"methods","domain_codex":"methods","domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":"methods","domain_consensus":"methods","prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018771023,0.05479148,0.16505414,0.71538764,0.042398773,0.012834783,0.0015030293,0.0019401882,0.00421282],"genre_scores_gemma":[0.023237921,0.010740705,0.733414,0.19149159,0.016502801,0.022484554,0.00051869155,0.00042611873,0.0011835886],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.26547652,0.52960217,0.13394295,0.015994841,0.051938776,0.003044756],"domain_scores_gemma":[0.079280116,0.6806283,0.050916754,0.03490116,0.1483179,0.0059557087],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6058787,0.0060409675,0.011881974,0.033242512,0.005916712,0.015169539,0.015320015,0.038934264,0.0068905773],"category_scores_gemma":[0.80646604,0.006787611,0.02645676,0.028521154,0.021170825,0.023066042,0.012004731,0.037033495,0.005779397],"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":[0.005528474,0.0008226259,0.012189817,0.14813931,0.016234947,0.0018612838,0.011050771,0.0025421488,0.0025512103,0.072233625,0.47117978,0.25566596],"study_design_scores_gemma":[0.023197122,0.0028041275,0.020149732,0.20641638,0.029214077,0.0040329327,0.0040246607,0.017843997,0.003739637,0.30613723,0.37986806,0.0025720121],"about_ca_topic_score_codex":0.004794696,"about_ca_topic_score_gemma":0.0063161207,"teacher_disagreement_score":0.3941213,"about_ca_system_score_codex":0.012090118,"about_ca_system_score_gemma":0.041649885,"threshold_uncertainty_score":0.48602176},"labels":[],"label_agreement":null},{"id":"W2616347678","doi":"10.4178/epih.e2017022","title":"Medication errors among nurses in teaching hospitals in the west of Iran: what we need to know about prevalence, types, and barriers to reporting","year":2017,"lang":"en","type":"article","venue":"Epidemiology and Health","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Kermanshah University of Medical Sciences","keywords":"Workload; Medicine; Confidence interval; Family medicine; Nursing; Nursing staff; Internal medicine","score_opus":0.11913302712626911,"score_gpt":0.49548513432635644,"score_spread":0.3763521072000873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616347678","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":[0.9925823,0.003852217,0.00018251226,0.0023666483,0.000049892507,0.000022456576,0.00017356068,0.000005853004,0.0007645247],"genre_scores_gemma":[0.9954745,0.0035340372,0.00032393314,0.00035640638,0.00006739957,0.000021868023,0.00011699501,0.000001588097,0.00010329935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982389,0.00046596836,0.00030293307,0.0001829847,0.0005068358,0.00030236013],"domain_scores_gemma":[0.9940317,0.0012112694,0.00332997,0.00012470756,0.00093117787,0.00037114572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018204179,0.000248804,0.00040191182,0.0011873257,0.0005142704,0.0008466347,0.00047939457,0.00056356576,0.000938656],"category_scores_gemma":[0.0069966093,0.000257592,0.00038222485,0.0011151996,0.00045537818,0.0015412244,0.00056402385,0.0005079623,0.00010147441],"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":[0.000033145145,0.000087194014,0.9750574,0.00038236208,0.000037027992,0.00014672785,0.0022569252,0.000042341166,0.00013833308,0.000057651956,0.00046421654,0.021296553],"study_design_scores_gemma":[0.000003958433,0.00008342505,0.9879611,0.00034537728,0.000031728054,0.00045480108,0.009908322,0.00013892438,0.0000720432,0.00009102061,0.00089735474,0.000011926241],"about_ca_topic_score_codex":0.013407223,"about_ca_topic_score_gemma":0.0221219,"teacher_disagreement_score":0.013407223,"about_ca_system_score_codex":0.00071809854,"about_ca_system_score_gemma":0.002099667,"threshold_uncertainty_score":0.026658356},"labels":[],"label_agreement":null},{"id":"W2749030830","doi":"10.4178/epih.e2017038","title":"Determinants of health-related quality of life in Iranian adults: evidence from a cross-sectional study","year":2017,"lang":"en","type":"article","venue":"Epidemiology and Health","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Kermanshah University of Medical Sciences","keywords":"Medicine; EQ-5D; Visual analogue scale; Socioeconomic status; Quality of life (healthcare); Cross-sectional study; Demography; Anxiety; Depression (economics); Linear regression; Gerontology; Physical therapy; Health related quality of life; Population; Environmental health; Statistics; Psychiatry; Disease; Internal medicine","score_opus":0.7444354608887251,"score_gpt":0.5742684659469244,"score_spread":0.17016699494180076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2749030830","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":[0.9924953,0.005701763,0.00011791073,0.00017193811,0.000031959324,0.000030892552,0.0007437636,0.0000036887166,0.00070275087],"genre_scores_gemma":[0.9960737,0.0026693197,0.00022325046,0.00012872176,0.000057863894,0.000039730035,0.0007269348,0.0000014760823,0.00007903266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878436,0.0004329733,0.00020048444,0.00018062409,0.0003017465,0.00009985517],"domain_scores_gemma":[0.9957106,0.0011925774,0.0020406232,0.00022098343,0.0006347039,0.00020048369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029610489,0.000339868,0.0005233196,0.001234759,0.00036312366,0.00064738,0.00045357575,0.0004285006,0.0015798038],"category_scores_gemma":[0.0061463206,0.0003381119,0.0009783122,0.0018823482,0.0003610852,0.00049023546,0.00038095584,0.0004946695,0.00019600653],"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":[0.000041530686,0.000065487526,0.99712414,0.00008495253,0.00026188893,0.000018228986,0.00009280178,0.000016517844,0.000023460587,0.000010203831,0.000077931254,0.0021827596],"study_design_scores_gemma":[0.000007556216,0.00008226751,0.99922836,0.000047957896,0.00011624515,0.00006090848,0.00018999832,0.000033156954,0.0000128148195,0.000008767287,0.0002095426,0.000002467963],"about_ca_topic_score_codex":0.0058132703,"about_ca_topic_score_gemma":0.008206157,"teacher_disagreement_score":0.0058132703,"about_ca_system_score_codex":0.00025883524,"about_ca_system_score_gemma":0.0005114536,"threshold_uncertainty_score":0.01565975},"labels":[],"label_agreement":null},{"id":"W2794564357","doi":"10.4178/epih.e2018010","title":"Socioeconomic disparities and difficulties to access to healthcare services among Canadian children with neurodevelopmental disorders and disabilities","year":2018,"lang":"en","type":"article","venue":"Epidemiology and Health","topic":"Cerebral Palsy and Movement Disorders","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"Centre for Research on Intermediality, University of Montreal","keywords":"Socioeconomic status; Medicine; Psychological intervention; Health care; Logistic regression; Household income; Gerontology; Environmental health; Psychiatry; Population","score_opus":0.0327904046866069,"score_gpt":0.3347882448757275,"score_spread":0.3019978401891206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794564357","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":[0.9898286,0.0010797031,0.00008636887,0.0010218247,0.000013816435,0.000027831187,0.0029937485,0.000007238083,0.004940951],"genre_scores_gemma":[0.9980775,0.00062798796,0.00013335513,0.00007379137,0.0000059147965,0.000010250658,0.00081631984,0.0000018946195,0.0002529519],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987704,0.00007269833,0.00005461641,0.00011890339,0.00042231812,0.0005610033],"domain_scores_gemma":[0.998816,0.00009668979,0.00034790588,0.00003409772,0.00039320585,0.00031212505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008244884,0.00032101394,0.00037320209,0.0020486766,0.0029270535,0.001028617,0.0008261514,0.0002970712,0.0024969866],"category_scores_gemma":[0.0029472345,0.00018047538,0.0006134201,0.0044292863,0.00067093276,0.00044676976,0.0012897907,0.0005627936,0.00010649618],"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":[0.000025894155,0.00002184857,0.9910507,0.000038549922,0.000037384754,0.000096792755,0.0010769423,0.000095415526,0.000058469635,0.00036302756,0.00080343144,0.006331434],"study_design_scores_gemma":[0.0000026661912,0.0000067366277,0.9969152,0.00004331341,0.000014685382,0.000050640145,0.0020171364,0.00015934363,0.000021010857,0.000051702602,0.0007116587,0.0000059266326],"about_ca_topic_score_codex":0.9933015,"about_ca_topic_score_gemma":0.9952154,"teacher_disagreement_score":0.02052867,"about_ca_system_score_codex":0.02052867,"about_ca_system_score_gemma":0.030369937,"threshold_uncertainty_score":0.14894664},"labels":[],"label_agreement":null},{"id":"W2810824335","doi":"10.4178/epih.e2018030","title":"Substance abuse behaviors among university freshmen in Iran: a latent class analysis","year":2018,"lang":"en","type":"article","venue":"Epidemiology and Health","topic":"Substance Abuse Treatment and Outcomes","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":"Dalhousie University","funders":"University of Tabriz; Tabriz University of Medical Sciences","keywords":"Latent class model; Medicine; Substance abuse; Cluster sampling; Substance use; Cluster (spacecraft); Clinical psychology; Family member; Demography; Psychiatry; Environmental health; Family medicine; Population","score_opus":0.09492923620487236,"score_gpt":0.3669145132646494,"score_spread":0.27198527705977704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810824335","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":[0.9986211,0.000098278535,0.0006312724,0.00012911289,0.000007720914,0.000055192228,0.0001994129,0.0000063377643,0.00025155608],"genre_scores_gemma":[0.9985435,0.00010395206,0.00073160935,0.00001904643,0.000011582934,0.00004402371,0.00037374857,0.0000024203691,0.00017023027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990676,0.000343917,0.00006909931,0.00013823164,0.00020147294,0.00017967014],"domain_scores_gemma":[0.99880254,0.00030429565,0.00044917376,0.00012390256,0.00018271717,0.00013736244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002559613,0.00036065967,0.00050262484,0.0015995839,0.0008312279,0.0011003441,0.0005342695,0.00032687798,0.002508257],"category_scores_gemma":[0.0031499385,0.00024387444,0.0014696843,0.0013535699,0.0004984682,0.0005227393,0.0007356002,0.00076662435,0.00022525928],"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":[0.000070426046,0.00021944898,0.990812,0.00001762257,0.000109191344,0.000029973487,0.0008748417,0.00019197846,0.00011249769,0.00018686628,0.00024103803,0.0071340967],"study_design_scores_gemma":[0.000022193313,0.00017225498,0.98830324,0.000053828913,0.00011474886,0.000053873337,0.0032493637,0.006976314,0.00012955663,0.0003091811,0.0006014274,0.000014034305],"about_ca_topic_score_codex":0.017442878,"about_ca_topic_score_gemma":0.015875774,"teacher_disagreement_score":0.017442878,"about_ca_system_score_codex":0.00083950994,"about_ca_system_score_gemma":0.0013097316,"threshold_uncertainty_score":0.03468269},"labels":[],"label_agreement":null},{"id":"W2945822710","doi":"10.4178/epih.e2019020","title":"Impact of pharmacist-led home medicines review services on drug-related problems among the elderly population: a systematic review","year":2019,"lang":"en","type":"review","venue":"Epidemiology and Health","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":46,"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":"Medicine; Pharmacist; Scopus; MEDLINE; Family medicine; Population; Inclusion (mineral); Drug; Alternative medicine; Pharmacoepidemiology; Chemist; Health care; Pharmaceutical care; Systematic review; Drug reaction; Pharmacy; Pharmacology; Medical prescription; Environmental health; Pathology","score_opus":0.32089218726326957,"score_gpt":0.556360328703602,"score_spread":0.2354681414403324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945822710","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":[0.0030001292,0.9955983,0.00009825812,0.00027851577,0.00008532312,0.0003010147,0.0003133761,0.000008208093,0.00031681225],"genre_scores_gemma":[0.045709793,0.9515418,0.00088075123,0.0007030002,0.00013831083,0.0006161061,0.00026504154,0.00000529261,0.00013994481],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9906729,0.0032477719,0.0034447208,0.00055069185,0.0018319067,0.0002520091],"domain_scores_gemma":[0.9582809,0.030003712,0.007644643,0.00041286624,0.0032041683,0.00045360185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010200886,0.001044096,0.0056677684,0.010038807,0.00046782012,0.0020736153,0.0014284184,0.001462362,0.0029131172],"category_scores_gemma":[0.04265895,0.00075515517,0.005460419,0.010012507,0.0005277185,0.0019579206,0.0011811351,0.00077476545,0.00018882896],"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":[0.0002077261,0.000027517228,0.0022122061,0.9490373,0.011140914,0.00013915621,0.00018159398,0.000064914166,0.00011601927,0.00007443084,0.000929322,0.035868928],"study_design_scores_gemma":[0.00040497864,0.00039239074,0.013373015,0.86811006,0.105018295,0.0005309573,0.00045909462,0.000138408,0.0002491054,0.00011586985,0.011174714,0.000033247677],"about_ca_topic_score_codex":0.0075362404,"about_ca_topic_score_gemma":0.02303332,"teacher_disagreement_score":0.010200886,"about_ca_system_score_codex":0.0035455464,"about_ca_system_score_gemma":0.011868858,"threshold_uncertainty_score":0.053948104},"labels":[],"label_agreement":null},{"id":"W2949789830","doi":"10.4178/epih.e2019024","title":"A systematic review and meta-analysis of the genetic characterization of human echinococcosis in Iran, an endemic country","year":2019,"lang":"en","type":"review","venue":"Epidemiology and Health","topic":"Parasitic infections in humans and animals","field":"Medicine","cited_by":24,"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":"Mazandaran University of Medical Sciences","keywords":"Echinococcus; Echinococcosis; Medicine; Genotype; Neglected tropical diseases; Population; Tropical disease; Disease; Veterinary medicine; Demography; Environmental health; Biology; Pathology; Genetics","score_opus":0.36693830480986345,"score_gpt":0.5088569669969568,"score_spread":0.14191866218709337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949789830","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":[0.00909956,0.9876637,0.00031000905,0.00031362326,0.00012926059,0.00021719348,0.0019131125,0.0000121726425,0.000341377],"genre_scores_gemma":[0.18277577,0.81113434,0.0017295947,0.0009012181,0.00023036124,0.0009450005,0.0020326858,0.000017686032,0.00023337785],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9900656,0.0032273615,0.0042260718,0.0010513788,0.0010850718,0.00034436732],"domain_scores_gemma":[0.97532845,0.017126052,0.004287086,0.00062963186,0.0022849112,0.0003438854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008847991,0.0015581108,0.012733092,0.012280943,0.0008404544,0.0029315741,0.0019414326,0.0017583325,0.0033585986],"category_scores_gemma":[0.026253382,0.0008994738,0.018124476,0.01582125,0.00064842793,0.0018942488,0.0013320684,0.0010980865,0.00024478766],"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":[0.0007808846,0.000036415666,0.018247698,0.70010537,0.26039258,0.00033516684,0.00026015885,0.0003805241,0.0003174016,0.0002262046,0.0014914832,0.017426169],"study_design_scores_gemma":[0.00034641728,0.0002460473,0.030309087,0.13003144,0.8313485,0.00047130632,0.00028997223,0.00025763808,0.00020237835,0.0002929303,0.006149518,0.000054770833],"about_ca_topic_score_codex":0.008468355,"about_ca_topic_score_gemma":0.021705352,"teacher_disagreement_score":0.012733092,"about_ca_system_score_codex":0.0021883212,"about_ca_system_score_gemma":0.006463183,"threshold_uncertainty_score":0.046793222},"labels":[],"label_agreement":null},{"id":"W2968505602","doi":"10.4178/epih.e2019025","title":"Health Effects of Underground Workspaces cohort: study design and baseline characteristics","year":2019,"lang":"en","type":"article","venue":"Epidemiology and Health","topic":"Noise Effects and Management","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"Ministry of National Development - Singapore; National Research Foundation Singapore; Nemzeti Fejlesztési Minisztérium; National Research Foundation","keywords":"Medicine; Baseline (sea); Cohort; Cohort study; Workspace; Environmental health; Physical therapy; Internal medicine","score_opus":0.08756148077570865,"score_gpt":0.45449727314544724,"score_spread":0.3669357923697386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968505602","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":[0.992428,0.00040170067,0.0010694006,0.000088506815,0.000032897962,0.0011813195,0.0038854862,0.000016958906,0.00089565705],"genre_scores_gemma":[0.99137336,0.0001802523,0.0012622679,0.00023525192,0.00009270598,0.0024200056,0.0032724976,0.000019211204,0.0011445156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99842936,0.00040800156,0.00017065177,0.00040968516,0.0003208558,0.00026135118],"domain_scores_gemma":[0.9983682,0.00019080473,0.00038855197,0.00045283395,0.00027558304,0.00032398218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002999729,0.00066761376,0.00075547403,0.001011846,0.0011999095,0.00079344027,0.0008919439,0.0009880804,0.0017755901],"category_scores_gemma":[0.002507837,0.0007391435,0.0011241817,0.0013229247,0.00041905206,0.00085073506,0.0012099117,0.00075272814,0.0006030265],"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":[0.0026624585,0.0007055667,0.9915895,0.000063295614,0.0003389798,0.0002184235,0.00029373853,0.00009690109,0.001021594,0.000093577684,0.0005367333,0.002379179],"study_design_scores_gemma":[0.00043646322,0.0021600924,0.9947548,0.000033088752,0.00028316956,0.0002906188,0.00036735454,0.00026709534,0.00019752819,0.000084593055,0.0011070104,0.000018279481],"about_ca_topic_score_codex":0.010198526,"about_ca_topic_score_gemma":0.010521667,"teacher_disagreement_score":0.010198526,"about_ca_system_score_codex":0.00055865216,"about_ca_system_score_gemma":0.0012208121,"threshold_uncertainty_score":0.020278335},"labels":[],"label_agreement":null},{"id":"W2986775746","doi":"10.4178/epih.e2019047","title":"Physical activity level in Korean adults: the Korea National Health and Nutrition Examination Survey 2017","year":2019,"lang":"en","type":"article","venue":"Epidemiology and Health","topic":"Physical Activity and Health","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; National Health and Nutrition Examination Survey; Waist; Marital status; Body mass index; Depression (economics); Gerontology; Physical fitness; Blood pressure; Demography; Physical therapy; Environmental health; Population; Internal medicine","score_opus":0.2624544263010747,"score_gpt":0.4502914183327015,"score_spread":0.1878369920316268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986775746","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":[0.9850692,0.0015504356,0.00018038608,0.0003335197,0.000055969533,0.00009895452,0.01115692,0.000013936185,0.0015406118],"genre_scores_gemma":[0.9882818,0.000881123,0.00031244257,0.00027416056,0.000026392392,0.00012647646,0.009413029,0.0000067017663,0.0006777484],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995074,0.00006499776,0.00016115076,0.000111451416,0.0000852683,0.00006967232],"domain_scores_gemma":[0.99917245,0.000033003293,0.00040308328,0.00003734496,0.00021174738,0.0001423314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005836483,0.00037440084,0.00036590244,0.0008473958,0.0002956889,0.0005052369,0.00036926317,0.00038661403,0.0009929608],"category_scores_gemma":[0.0010372585,0.00030712347,0.00054220716,0.0014656591,0.000116534,0.00056217116,0.00055029657,0.0006622889,0.00032222847],"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":[0.00003576607,0.000044412413,0.996917,0.0000595786,0.00010466287,0.000027800608,0.000081006954,0.00003397384,0.0001395403,0.000010506263,0.0005368286,0.0020088651],"study_design_scores_gemma":[0.0000038718103,0.000019542416,0.99930024,0.000013893682,0.00003229426,0.000038852286,0.0001445863,0.00005724297,0.000019132145,0.0000047585495,0.00036260588,0.0000029338835],"about_ca_topic_score_codex":0.013656213,"about_ca_topic_score_gemma":0.024330422,"teacher_disagreement_score":0.013656213,"about_ca_system_score_codex":0.00036835202,"about_ca_system_score_gemma":0.00053439254,"threshold_uncertainty_score":0.027153432},"labels":[],"label_agreement":null},{"id":"W3040514186","doi":"10.4178/epih.e2020049","title":"Air Filtration and Severe Acute Respiratory Syndrome Coronavirus 2","year":2020,"lang":"en","type":"article","venue":"Epidemiology and Health","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"HEPA; Filtration (mathematics); Respirator; Aerosol; Air filter; Coronavirus disease 2019 (COVID-19); Air filtration; Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus; Environmental science; Intensive care medicine; Filter (signal processing); Environmental engineering; Infectious disease (medical specialty); Meteorology; Computer science; Engineering; Disease; Chemistry; Pathology; Indoor air quality; Physics; Mechanical engineering; Mathematics","score_opus":0.15006183714187835,"score_gpt":0.4062882378101671,"score_spread":0.2562264006682887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040514186","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0931326,0.76635814,0.00067403144,0.09032099,0.0052537518,0.000046143068,0.00060695846,0.000051507246,0.043555956],"genre_scores_gemma":[0.56480855,0.3819686,0.0010222791,0.026844818,0.011598753,0.00009012221,0.00084488856,0.000021919086,0.012800133],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990854,0.00033307128,0.00009810908,0.00011746139,0.00024802797,0.00011775784],"domain_scores_gemma":[0.99870145,0.00044031913,0.00050108705,0.00003312329,0.00018476292,0.0001392196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008826501,0.00021531289,0.00036155473,0.00044219953,0.0004903264,0.0011333212,0.00024773076,0.0016846821,0.0072925426],"category_scores_gemma":[0.0024635342,0.000111010595,0.00068902655,0.000463744,0.0005835031,0.0007158598,0.0005580878,0.001485912,0.0009493939],"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":[0.0020984514,0.0012067955,0.29053098,0.0048788874,0.0008880803,0.0050985715,0.0012536612,0.0007462783,0.003590784,0.043948047,0.14789957,0.49785998],"study_design_scores_gemma":[0.00013771691,0.0010205545,0.5044791,0.0041144136,0.00031082972,0.00928204,0.0014230557,0.00072268205,0.0006294617,0.021114796,0.45667833,0.00008703499],"about_ca_topic_score_codex":0.0037201336,"about_ca_topic_score_gemma":0.003367467,"teacher_disagreement_score":0.0072925426,"about_ca_system_score_codex":0.0006517069,"about_ca_system_score_gemma":0.0009560215,"threshold_uncertainty_score":0.024396002},"labels":[],"label_agreement":null},{"id":"W3041538017","doi":"10.4178/epih.e2020051","title":"Estimating the number of Korean workers at high risk of COVID-19 infection","year":2020,"lang":"en","type":"article","venue":"Epidemiology and Health","topic":"COVID-19 and Mental Health","field":"Psychology","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":"Public Health Ontario; University of Toronto","funders":"","keywords":"Medicine; Welfare; Wage; Population; Environmental health; Health care; Occupational safety and health; Inequality; Census; Demography; Labour economics; Economic growth","score_opus":0.18138448699438595,"score_gpt":0.49954255437475986,"score_spread":0.3181580673803739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041538017","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":[0.98704,0.00071985065,0.0019870673,0.00021642959,0.000039011513,0.00013207573,0.008227242,0.000036171292,0.0016020864],"genre_scores_gemma":[0.98571384,0.00079791923,0.004061207,0.00011434544,0.000022788532,0.00017602638,0.008008271,0.000009160367,0.001096412],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946386,0.000094221,0.00012468337,0.00015692087,0.000064378335,0.00009604215],"domain_scores_gemma":[0.998993,0.00010827595,0.0004347757,0.00007959213,0.00022828039,0.0001560825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007795566,0.00071971025,0.0003289391,0.001969207,0.00037363297,0.000729987,0.00064497645,0.0005274098,0.0022990545],"category_scores_gemma":[0.0024034737,0.00045152815,0.00072371215,0.0008824104,0.00018638761,0.0006833718,0.00094375055,0.00038304672,0.0006235419],"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":[0.000037566126,0.000022310789,0.9940474,0.000054317872,0.000052679177,0.000055701148,0.00009011902,0.00025327614,0.00019237095,0.00004197252,0.0005856671,0.0045666364],"study_design_scores_gemma":[0.000012279819,0.000077661934,0.99113137,0.00011400813,0.00016268436,0.0003543205,0.0012839702,0.0042277495,0.00023861181,0.00014369226,0.0022330864,0.000020631185],"about_ca_topic_score_codex":0.01523845,"about_ca_topic_score_gemma":0.0107839815,"teacher_disagreement_score":0.01523845,"about_ca_system_score_codex":0.00033235512,"about_ca_system_score_gemma":0.0006982966,"threshold_uncertainty_score":0.030299544},"labels":[],"label_agreement":null},{"id":"W3095448534","doi":"10.4178/epih.e2020066","title":"Comparison between walking and moderate to vigorous physical activity: the association with metabolic syndrome components in older adults, South Korea","year":2020,"lang":"en","type":"article","venue":"Epidemiology and Health","topic":"Physical Activity and Health","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 Alberta","funders":"","keywords":"Medicine; Waist; National Health and Nutrition Examination Survey; Metabolic syndrome; Logistic regression; Demography; Alcohol consumption; Physical activity; Blood pressure; Triglyceride; Physical therapy; Gerontology; Body mass index; Internal medicine; Obesity; Cholesterol; Population; Environmental health","score_opus":0.14749881596487352,"score_gpt":0.39458128478058885,"score_spread":0.24708246881571533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095448534","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":[0.99954224,0.00024169467,0.00003463254,0.000012043901,0.000003289236,0.000003456244,0.00008587796,7.6269043e-7,0.00007607857],"genre_scores_gemma":[0.9997149,0.00007343431,0.000040049978,0.00000973195,0.0000029317748,0.000004537882,0.0001174489,4.925822e-7,0.000036343776],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997105,0.000064962,0.00007395667,0.00007815062,0.00003744101,0.000034975455],"domain_scores_gemma":[0.9993974,0.00006471,0.00031982386,0.000025905869,0.0000665018,0.00012574054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005110389,0.0003130611,0.0002264091,0.0006423487,0.00016811537,0.0003476705,0.00020026439,0.00024423908,0.0005660591],"category_scores_gemma":[0.00084301014,0.00017734493,0.00046889271,0.0007506011,0.00012045467,0.0002629654,0.00034909564,0.00023517643,0.00006803632],"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":[0.0001296126,0.000024888324,0.9986873,0.00001725505,0.00010537259,0.000022092034,0.000023493132,0.000017346902,0.00019391134,0.0000046558184,0.000013662618,0.0007603145],"study_design_scores_gemma":[0.0000059953873,0.000057072233,0.9996604,0.0000037125235,0.00003950233,0.000041019237,0.000073827876,0.000067815745,0.000019012225,0.0000045862175,0.000026015146,0.0000011084112],"about_ca_topic_score_codex":0.0033586975,"about_ca_topic_score_gemma":0.0058826944,"teacher_disagreement_score":0.0033586975,"about_ca_system_score_codex":0.00011896367,"about_ca_system_score_gemma":0.00020683974,"threshold_uncertainty_score":0.006678283},"labels":[],"label_agreement":null},{"id":"W3213445861","doi":"10.4178/epih.e2021095","title":"Magnifying the importance of collecting race, ethnicity, industry, and occupation data during the COVID-19 pandemic","year":2021,"lang":"en","type":"article","venue":"Epidemiology and Health","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Manitoba Health","funders":"","keywords":"Ethnic group; Pandemic; Medicine; Odds; Race (biology); Context (archaeology); Public health; Coronavirus disease 2019 (COVID-19); Social distance; Health care; Economic growth; Public relations; Disease; Political science; Geography; Gender studies; Nursing; Logistic regression; Sociology; Infectious disease (medical specialty); Pathology","score_opus":0.7111212449861193,"score_gpt":0.5700823522292389,"score_spread":0.14103889275688042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213445861","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":[0.86065435,0.017243637,0.009863111,0.07780878,0.0023468928,0.0006615761,0.009651334,0.00008148424,0.021688813],"genre_scores_gemma":[0.9482241,0.0112543935,0.01985678,0.0131955445,0.0012247716,0.000643074,0.0032319804,0.0000407386,0.0023285744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.976273,0.01784226,0.0015731636,0.0011002285,0.0022738597,0.0009375853],"domain_scores_gemma":[0.9678553,0.009908298,0.007546557,0.0050725695,0.0069275573,0.0026896137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026358757,0.0003147559,0.0005057853,0.002360615,0.0016681134,0.0026888817,0.0013279781,0.0016404502,0.0016483542],"category_scores_gemma":[0.052275617,0.00050423545,0.0005106513,0.0026466893,0.0008291482,0.0028273652,0.002613392,0.0024802184,0.0005713639],"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":[0.00016824578,0.00019759248,0.92703336,0.0005708027,0.00020889779,0.0002585504,0.00690922,0.00022169508,0.000751965,0.0013610115,0.012053531,0.050265145],"study_design_scores_gemma":[0.00001646386,0.00025834667,0.93884027,0.0026039958,0.00022583222,0.0007160716,0.011742258,0.0007657392,0.0007984609,0.0024971054,0.04144411,0.00009141335],"about_ca_topic_score_codex":0.0431752,"about_ca_topic_score_gemma":0.06649914,"teacher_disagreement_score":0.0431752,"about_ca_system_score_codex":0.00087322335,"about_ca_system_score_gemma":0.0039440896,"threshold_uncertainty_score":0.13940006},"labels":[],"label_agreement":null},{"id":"W4280496280","doi":"10.4178/epih.e2022045","title":"Spatial analysis of tuberculosis treatment outcomes in Shanghai: implications for tuberculosis control","year":2022,"lang":"en","type":"article","venue":"Epidemiology and Health","topic":"Tuberculosis Research and Epidemiology","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","funders":"National Key Research and Development Program of China; National Institute of General Medical Sciences; National Natural Science Foundation of China","keywords":"Medicine; Logistic regression; Tuberculosis; Random effects model; Environmental health; Internal medicine; Meta-analysis","score_opus":0.10719157791566204,"score_gpt":0.44288495637453673,"score_spread":0.3356933784588747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280496280","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":[0.9821805,0.0067600706,0.0037565406,0.0033533368,0.00011201917,0.000028799399,0.0024386507,0.00007250387,0.001297509],"genre_scores_gemma":[0.9981325,0.00061750464,0.0005114213,0.0000672809,0.000038455786,0.000011569967,0.00050587853,0.0000048428337,0.0001105443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99781287,0.0012410551,0.00019049646,0.00029653273,0.00021328265,0.00024569692],"domain_scores_gemma":[0.9910063,0.0024616697,0.0036715204,0.00072730816,0.0013535086,0.0007797186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034659654,0.00062478194,0.0005724238,0.0022275755,0.0004873477,0.0010323555,0.0005414183,0.00026612447,0.0013806381],"category_scores_gemma":[0.009794395,0.00022661989,0.0011098693,0.0041195843,0.00095118885,0.00088726205,0.0011895134,0.0004553806,0.00010793813],"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":[0.00004637035,0.000010768826,0.99034727,0.000101662954,0.00020847296,0.0001131207,0.00028149044,0.0017480407,0.00005670956,0.00040603644,0.00060546416,0.006074508],"study_design_scores_gemma":[0.00000410801,0.000031565847,0.99430484,0.000053048698,0.00011569465,0.000059963866,0.0006734699,0.0035976933,0.000039224364,0.00055120164,0.0005565795,0.000012521731],"about_ca_topic_score_codex":0.121884584,"about_ca_topic_score_gemma":0.109543525,"teacher_disagreement_score":0.121884584,"about_ca_system_score_codex":0.0019133204,"about_ca_system_score_gemma":0.0023909654,"threshold_uncertainty_score":0.24235028},"labels":[],"label_agreement":null},{"id":"W4281683309","doi":"10.4178/epih.e2022050","title":"The relationship between metabolic syndrome and its components with bladder cancer: a systematic review and meta-analysis of cohort studies","year":2022,"lang":"en","type":"review","venue":"Epidemiology and Health","topic":"Bladder and Urothelial Cancer Treatments","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":"Medicine; Bladder cancer; Meta-analysis; Metabolic syndrome; Internal medicine; Cohort study; Observational study; Cancer; Relative risk; Overweight; Publication bias; Obesity; Oncology; Confidence interval","score_opus":0.5527458453847008,"score_gpt":0.5183854508848341,"score_spread":0.03436039449986672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281683309","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":[0.0059039993,0.9921495,0.0008190104,0.00019864921,0.00014615255,0.00021779594,0.00041679366,0.00002647825,0.00012175385],"genre_scores_gemma":[0.15178148,0.8409534,0.0040306267,0.0005704282,0.00029381365,0.0011651554,0.00093388156,0.00003599967,0.0002352184],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.98383594,0.008487242,0.0043249633,0.0013544698,0.0015501729,0.00044730766],"domain_scores_gemma":[0.97065395,0.02181208,0.0037304168,0.0012805501,0.00222089,0.00030220914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024997141,0.0034170875,0.01796759,0.010033595,0.00089231844,0.0036772788,0.0023171273,0.002131805,0.0019335283],"category_scores_gemma":[0.047931354,0.0019531036,0.051175553,0.01181006,0.00071895856,0.0018172675,0.0018580368,0.0019487648,0.0002226281],"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":[0.0012884387,0.000018499195,0.008882757,0.18437351,0.79442716,0.00014452469,0.000073717856,0.00075046066,0.00017932199,0.00009500441,0.00044669246,0.009319935],"study_design_scores_gemma":[0.00019429141,0.00008830732,0.004309826,0.010091334,0.98411983,0.00008091388,0.000025766138,0.00019346547,0.00008862827,0.00010639683,0.00068220915,0.000018902683],"about_ca_topic_score_codex":0.010021061,"about_ca_topic_score_gemma":0.02200731,"teacher_disagreement_score":0.024997141,"about_ca_system_score_codex":0.003222732,"about_ca_system_score_gemma":0.0051829177,"threshold_uncertainty_score":0.13219911},"labels":[],"label_agreement":null},{"id":"W4380084157","doi":"10.4178/epih.e2023054","title":"Barriers to COVID-19 vaccine surveillance: the issue of under-reporting adverse events","year":2023,"lang":"en","type":"article","venue":"Epidemiology and Health","topic":"Pharmacovigilance and Adverse Drug Reactions","field":"Pharmacology, Toxicology and Pharmaceutics","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":"McGill University","funders":"Daiichi Sankyo Europe; National Research Foundation of Korea; Ministry of Food and Drug Safety; National Research Foundation; Pfizer","keywords":"Medicine; Adverse effect; Vaccination; Odds ratio; Internal medicine; Logistic regression; Coronavirus disease 2019 (COVID-19); Pediatrics; Disease; Immunology; Infectious disease (medical specialty)","score_opus":0.3570755738206277,"score_gpt":0.5778366822839613,"score_spread":0.22076110846333363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380084157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9761121,0.0035436735,0.0029583804,0.00981106,0.00017279777,0.00022681564,0.0015893294,0.00004294215,0.005542871],"genre_scores_gemma":[0.9965107,0.00087828975,0.0010743183,0.0008228279,0.00009698264,0.000095089235,0.00036708638,0.0000068524146,0.00014792812],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9728274,0.016165243,0.0043635634,0.0014651652,0.004104379,0.0010741154],"domain_scores_gemma":[0.8697249,0.054721516,0.05949816,0.0039487197,0.009519125,0.002587686],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.029707659,0.00021396588,0.0003850295,0.0010328065,0.00042635822,0.0012039354,0.0007643484,0.0005599334,0.0012385926],"category_scores_gemma":[0.09969315,0.00024744676,0.0006216618,0.0011745078,0.0006142023,0.0016598445,0.0013042551,0.0009342715,0.0001915425],"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":[0.000058011607,0.000050081482,0.9748157,0.00041620538,0.00013590547,0.00005973431,0.0016333349,0.00014697127,0.00014318505,0.00023509853,0.0011725788,0.021133287],"study_design_scores_gemma":[0.000008790688,0.00019239316,0.99142975,0.0006869538,0.000049261173,0.0003156865,0.0028435101,0.0007479254,0.0002246035,0.00018720992,0.0032968058,0.000017096248],"about_ca_topic_score_codex":0.01103969,"about_ca_topic_score_gemma":0.006835803,"teacher_disagreement_score":0.9702923,"about_ca_system_score_codex":0.00072738534,"about_ca_system_score_gemma":0.0024942032,"threshold_uncertainty_score":0.15711099},"labels":[],"label_agreement":null},{"id":"W4385892566","doi":"10.4178/epih.e2023072","title":"Did the socioeconomic inequalities in avoidable and unavoidable mortality worsen during the first year of the COVID-19 pandemic in Korea?","year":2023,"lang":"en","type":"article","venue":"Epidemiology and Health","topic":"COVID-19 and healthcare impacts","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":"Public Health Ontario; University of Toronto","funders":"National Medical Center","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Socioeconomic status; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Inequality; Betacoronavirus; Pediatrics; Intensive care medicine; Environmental health; Virology; Outbreak; Internal medicine; Population; Disease; Infectious disease (medical specialty)","score_opus":0.2479026788552914,"score_gpt":0.4579508327104068,"score_spread":0.2100481538551154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385892566","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":[0.99594516,0.0008001704,0.00011432218,0.0011129912,0.000048652208,0.000008476857,0.0011135981,0.000002977255,0.0008536539],"genre_scores_gemma":[0.999046,0.00018962083,0.00004070583,0.00011992826,0.000019980953,0.0000048819675,0.00042812157,0.0000015416035,0.00014913248],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996294,0.000049415296,0.000033568464,0.00009901998,0.000025301812,0.00016330913],"domain_scores_gemma":[0.99935716,0.000039344868,0.0003340234,0.000029429499,0.000085559215,0.00015445416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005814448,0.00022726947,0.00023383643,0.0005818016,0.00033216414,0.0007288668,0.00038870625,0.000520397,0.0018019757],"category_scores_gemma":[0.0015336586,0.00021136316,0.0006214675,0.0007916047,0.00031120065,0.0012907658,0.00076947216,0.00097512745,0.00017924797],"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":[0.00007254589,0.00003232876,0.99451315,0.00003093249,0.000096365395,0.000114325696,0.00045029024,0.00009797913,0.00013404923,0.00025771582,0.00044986294,0.0037504244],"study_design_scores_gemma":[0.0000016954494,0.000018312128,0.99846077,0.000018544602,0.000015526874,0.000036753736,0.00076799706,0.00016911363,0.000026631518,0.00009520838,0.00038388942,0.000005712573],"about_ca_topic_score_codex":0.026773887,"about_ca_topic_score_gemma":0.050543785,"teacher_disagreement_score":0.026773887,"about_ca_system_score_codex":0.00074429775,"about_ca_system_score_gemma":0.0008200301,"threshold_uncertainty_score":0.053236127},"labels":[],"label_agreement":null},{"id":"W4387669851","doi":"10.4178/epih.e2023091","title":"Cohort profile: investigating SARS-CoV-2 infection and the health and psychosocial impact of the COVID-19 pandemic in the Canadian CHILD Cohort","year":2023,"lang":"en","type":"article","venue":"Epidemiology and Health","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Public Health Ontario; Alberta Health; BC Centre for Disease Control; University of Calgary; Simon Fraser University; University of Ottawa; Manitoba Health; University of British Columbia; University of Alberta; University of Manitoba; SickKids Foundation; Alberta Health Services; McMaster University; Children's Hospital Research Institute of Manitoba","funders":"National Research Council Canada; Canadian Institutes of Health Research; Hospital for Sick Children; Canada Research Chairs; Children's Hospital Foundation; Public Health Agency; Genome British Columbia; University of Alberta; BC Children's Hospital; BC Children’s Hospital Foundation; Public Health Agency of Canada; McMaster University; Research Manitoba; Genome Canada","keywords":"Medicine; Pandemic; Psychosocial; Cohort; Cohort study; Population; Mental health; Demography; Environmental health; Pediatrics; Coronavirus disease 2019 (COVID-19); Disease; Psychiatry; Infectious disease (medical specialty); Internal medicine","score_opus":0.23498736077425944,"score_gpt":0.5232047180192235,"score_spread":0.2882173572449641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387669851","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":[0.98679996,0.00049255457,0.00026849078,0.00026536125,0.00003305138,0.00020358124,0.009746923,0.000011806725,0.0021782927],"genre_scores_gemma":[0.9906578,0.0004997729,0.00069505983,0.0002159985,0.000019523917,0.00023743302,0.0059158877,0.000013276294,0.0017451678],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895287,0.000090893416,0.000040663697,0.00023416594,0.000276046,0.00040545885],"domain_scores_gemma":[0.9985526,0.00006503693,0.0002441255,0.000119909506,0.0005841599,0.00043413916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013299386,0.00078908243,0.0005028318,0.001483312,0.004207477,0.0011859286,0.0016306574,0.0006432778,0.0033014365],"category_scores_gemma":[0.0026140572,0.00050907716,0.0009914497,0.0029109337,0.0006363886,0.00053168676,0.0013695778,0.0009073936,0.0004624528],"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":[0.0001416106,0.000034964178,0.9949774,0.000034331755,0.000084367355,0.00011109473,0.00080089737,0.00004330068,0.00024016632,0.00010550829,0.0014436106,0.0019827927],"study_design_scores_gemma":[0.00001857642,0.000090175236,0.99544454,0.00003239819,0.00006303753,0.00015277322,0.0018441277,0.00013909324,0.00007299633,0.000034491313,0.0020933764,0.000014453459],"about_ca_topic_score_codex":0.9532738,"about_ca_topic_score_gemma":0.9668091,"teacher_disagreement_score":0.046726227,"about_ca_system_score_codex":0.009678275,"about_ca_system_score_gemma":0.016644586,"threshold_uncertainty_score":0.09400278},"labels":[],"label_agreement":null},{"id":"W4402531681","doi":"10.4178/epih.e2024076","title":"Homelessness and mortality: gender, age, and housing status inequity in Korea","year":2024,"lang":"en","type":"article","venue":"Epidemiology and Health","topic":"Homelessness and Social Issues","field":"Health Professions","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":"McMaster University; Public Health Ontario; University of Toronto","funders":"National Research Foundation of Korea; Ministry of Science and ICT, South Korea; National Health Insurance Service; Seoul National University; National Research Foundation","keywords":"Medicine; Environmental health; Demography; Gerontology","score_opus":0.30864510944093376,"score_gpt":0.5343309337143196,"score_spread":0.22568582427338585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402531681","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":[0.99871063,0.0004336736,0.000070954105,0.00009323664,0.0000066953085,0.0000059041395,0.0003305791,0.0000019393142,0.00034630863],"genre_scores_gemma":[0.9996151,0.000096225296,0.000028095526,0.000021972786,0.0000042576858,0.00000270043,0.00014590865,7.1948966e-7,0.00008499729],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966943,0.00008624569,0.000045947236,0.000063205356,0.000044292625,0.00009079456],"domain_scores_gemma":[0.999374,0.000043343283,0.0003800946,0.00003262886,0.00006387629,0.0001061341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007294988,0.00020466764,0.00017072962,0.0011049386,0.00026879992,0.00051240565,0.00029065146,0.00018038368,0.0013783533],"category_scores_gemma":[0.0011992833,0.00013711856,0.00034895606,0.00091183407,0.00027765718,0.00060510257,0.00086417666,0.00022743898,0.0001166731],"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":[0.000033993507,0.000024650886,0.99678564,0.000012725047,0.000031802163,0.000042944986,0.0001520821,0.000025618667,0.00006664561,0.000047198915,0.00009916947,0.0026774749],"study_design_scores_gemma":[0.0000019781826,0.000034469515,0.9987165,0.000017629363,0.000016106922,0.00009482674,0.00070879824,0.00011639598,0.000028517425,0.000050560426,0.00021137441,0.0000030152664],"about_ca_topic_score_codex":0.006837642,"about_ca_topic_score_gemma":0.014257874,"teacher_disagreement_score":0.006837642,"about_ca_system_score_codex":0.0002887011,"about_ca_system_score_gemma":0.00042990045,"threshold_uncertainty_score":0.0135957},"labels":[],"label_agreement":null},{"id":"W4403099107","doi":"10.4178/epih.e2024080","title":"Adverse health effects of climate change and air pollution in people with disabilities: a systematic review","year":2024,"lang":"en","type":"review","venue":"Epidemiology and Health","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Research Foundation of Korea; National Research Foundation","keywords":"Medicine; Climate change; Air pollution; Environmental health; Adverse effect; Systematic review; MEDLINE; Environmental planning; Environmental science","score_opus":0.17480817769037554,"score_gpt":0.43911041500518316,"score_spread":0.2643022373148076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403099107","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":[0.0022067,0.9963561,0.000096065654,0.00020040007,0.00011286198,0.0002652789,0.0005160434,0.00000765866,0.00023887049],"genre_scores_gemma":[0.022693003,0.975492,0.0003462762,0.0005038721,0.00009786758,0.0004543613,0.0002933099,0.0000039541756,0.000115366245],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99586856,0.0013310651,0.0015368127,0.00034301702,0.0007324549,0.00018812595],"domain_scores_gemma":[0.98567224,0.010331054,0.0025041194,0.00021809294,0.0011185271,0.00015607968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045040613,0.0012058066,0.005738264,0.0069297072,0.0006642504,0.0022244935,0.0013541844,0.0016085115,0.0033187573],"category_scores_gemma":[0.022186805,0.0008783399,0.0077334004,0.008785278,0.0005819843,0.0014986313,0.001477682,0.0009437195,0.0002035558],"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":[0.00013084704,0.000016892274,0.0018939519,0.96339446,0.01306017,0.00011076445,0.00017734172,0.00010713424,0.00009684459,0.00012415327,0.0012007372,0.019686608],"study_design_scores_gemma":[0.00020233283,0.00023966077,0.013411956,0.86084014,0.10862309,0.000445411,0.00038929176,0.00014371386,0.00017210159,0.00026861884,0.015207887,0.000055933182],"about_ca_topic_score_codex":0.013650889,"about_ca_topic_score_gemma":0.038089152,"teacher_disagreement_score":0.013650889,"about_ca_system_score_codex":0.002620404,"about_ca_system_score_gemma":0.008769143,"threshold_uncertainty_score":0.027142882},"labels":[],"label_agreement":null}]}