{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":6,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":6,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"cb1b9827926d","filters":{"venue":"Zhonghua yixue keyan guanli zazhi"}},"results":[{"id":"W3029739230","doi":"10.3760/cma.j.issn.1006-1924.2017.01.018","title":"To analyze the development trend of the ultrasound-guide nerve block basing the bibliometric analysis","year":2017,"lang":"en","type":"article","venue":"Zhonghua yixue keyan guanli zazhi","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Bibliometrics; Ultrasound; Trend analysis; Stage (stratigraphy); Field (mathematics); Citation analysis; Medicine; Computer science; Library science; Citation; Radiology; Mathematics","authors":[{"name":"Lei-Ming Weng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04622872769026197,"gpt":0.3656874951024301,"spread":0.3194587674121682,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.008885424,0.0008272022,0.002009074,0.1128088,0.001204962,0.004817153,0.001060505,0.000742006,0.00733173],"category_scores_gemma":[0.05823369,0.000308002,0.002541478,0.159094,0.0006456225,0.004761283,0.001581689,0.0005487616,0.001388861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003838921,"about_ca_system_score_gemma":0.007624146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01059575,"about_ca_topic_score_gemma":0.0102294,"domain_scores_codex":[0.985415,0.002265309,0.003694971,0.001346006,0.006642036,0.0006367837],"domain_scores_gemma":[0.9583273,0.01918778,0.008332258,0.001224864,0.01233194,0.0005958671],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003364294,0.0001494761,0.541068,0.03615238,0.003339231,0.0004777198,0.001971786,0.002386153,0.001320474,0.008278374,0.02246723,0.3820529],"study_design_scores_gemma":[0.0001393688,0.0002740003,0.8680159,0.008538212,0.006962053,0.001279679,0.005478299,0.01270339,0.002849108,0.007676356,0.0859064,0.0001772387],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5296178,0.2443484,0.02119107,0.0122945,0.001229417,0.002881982,0.1071032,0.001336469,0.0799971],"genre_scores_gemma":[0.8842735,0.06892777,0.01267388,0.000527652,0.0007305824,0.001584228,0.02704996,0.0001484332,0.004083944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9911146,"threshold_uncertainty_score":0.04699117,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3031801336","doi":"10.3760/cma.j.issn.1006-1924.2013.06.007","title":"Misunderstandings of statistics in medical research","year":2013,"lang":"en","type":"article","venue":"Zhonghua yixue keyan guanli zazhi","topic":"Statistical Methods in Epidemiology","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Statistics; Statistical hypothesis testing; Test (biology); Medical statistics; Quarter (Canadian coin); Key (lock); Chi-square test; Statistical analysis; Computer science; Data science; Psychology; Mathematics; History","authors":[{"name":"Ce Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3257013505522012,"gpt":0.5286282881669688,"spread":0.2029269376147677,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.487241,0.001632403,0.002971722,0.02439722,0.004839283,0.01566683,0.006318094,0.008447116,0.001947509],"category_scores_gemma":[0.7404633,0.002245684,0.00265625,0.01882164,0.02263763,0.01540342,0.008673722,0.01395574,0.001612956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01000572,"about_ca_system_score_gemma":0.01353176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002627659,"about_ca_topic_score_gemma":0.002148546,"domain_scores_codex":[0.3615622,0.4180019,0.1289135,0.01229337,0.07712235,0.002106573],"domain_scores_gemma":[0.06180622,0.8165686,0.03624114,0.02876217,0.054575,0.002046808],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008148304,0.0002727794,0.01667127,0.02008682,0.001463631,0.003104442,0.1228332,0.003850438,0.005453313,0.3183053,0.1318049,0.3753393],"study_design_scores_gemma":[0.0001676925,0.000364072,0.01259935,0.03546487,0.0006923463,0.005876879,0.04800285,0.007393618,0.009103253,0.325182,0.5543245,0.0008286273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0428947,0.1794709,0.292413,0.4076131,0.05999349,0.001256065,0.001230055,0.0009574597,0.01417124],"genre_scores_gemma":[0.3649216,0.1006784,0.2765032,0.2011878,0.04703771,0.002289743,0.00113634,0.001559111,0.004686175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.512759,"threshold_uncertainty_score":0.6323231,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3030168977","doi":"10.3760/cma.j.issn.1006-1924.2016.04.003","title":"Research-oriented hospital complex: learning from Canadian UHN model","year":2016,"lang":"en","type":"article","venue":"Zhonghua yixue keyan guanli zazhi","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Enlightenment; Complement (music); Key (lock); University hospital; Medicine; Computer science; Family medicine; Biology","authors":[{"name":"Yaosheng Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2072576339116303,"gpt":0.4285049150006817,"spread":0.2212472810890514,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002277172,0.0003991109,0.0002246403,0.001519643,0.01159189,0.008599592,0.001867506,0.001988725,0.01558645],"category_scores_gemma":[0.004975353,0.0002653821,0.0004294227,0.002058173,0.009120563,0.004796676,0.0050481,0.002785862,0.001130646],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1100542,"about_ca_system_score_gemma":0.1251306,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9377788,"about_ca_topic_score_gemma":0.964989,"domain_scores_codex":[0.9970787,0.000709637,0.00006169394,0.0003319733,0.001034788,0.0007832206],"domain_scores_gemma":[0.9956278,0.0004716075,0.0001497739,0.0002038948,0.001487918,0.002059066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001722731,0.00002325655,0.002459574,0.00003972139,0.000004045296,0.0001835511,0.004161847,0.001463641,0.00008570538,0.9625885,0.01957602,0.009396832],"study_design_scores_gemma":[0.00006782798,0.00005944219,0.01024805,0.0005414516,0.00004842225,0.000403172,0.03313474,0.01513032,0.000389331,0.3263176,0.613528,0.0001316389],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05033088,0.001281653,0.02580302,0.09456301,0.0003694857,0.00024536,0.000725863,0.0001444115,0.8265362],"genre_scores_gemma":[0.8839011,0.002752167,0.02368405,0.005600188,0.0001119027,0.0001948786,0.0004382369,0.000107778,0.08320969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8899459,"threshold_uncertainty_score":0.7985026,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3031344573","doi":"10.3760/cma.j.issn.1006-1924.2017.04.018","title":"Information mining analysis of PM2.5 literature in foreign language","year":2017,"lang":"en","type":"article","venue":"Zhonghua yixue keyan guanli zazhi","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"China; Beijing; Publishing; Foreign language; Watson; Subject (documents); Research Object; Distribution (mathematics); Geography; Library science; Social science; Political science; Regional science; Computer science; Sociology; Psychology; Mathematics education; Mathematics; Archaeology; Artificial intelligence","authors":[{"name":"Yaqing Fang","is_ca":false},{"name":"Wei He","is_ca":false},{"name":"Lijing Yang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01489274769066179,"gpt":0.272404594591779,"spread":0.2575118469011172,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003474991,0.0006055295,0.001008822,0.07251885,0.001419701,0.002995625,0.0009281178,0.0005899871,0.006408298],"category_scores_gemma":[0.014842,0.000225864,0.001752065,0.04420582,0.000489778,0.002196207,0.001186687,0.0004454388,0.0012052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586483,"about_ca_system_score_gemma":0.005562347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006707036,"about_ca_topic_score_gemma":0.009472018,"domain_scores_codex":[0.9972761,0.0003599105,0.0008203536,0.0004430138,0.0008700922,0.0002305559],"domain_scores_gemma":[0.9822509,0.009218737,0.003252031,0.0004391722,0.004456334,0.0003828756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005678702,0.0003827009,0.2943107,0.0509618,0.001243988,0.00651916,0.007620297,0.001856361,0.008620336,0.008610242,0.0323702,0.5869364],"study_design_scores_gemma":[0.0001120218,0.0007075577,0.6439436,0.02312627,0.00427095,0.006247338,0.02448205,0.006625211,0.01386883,0.009639423,0.2667651,0.0002116572],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6582819,0.1337382,0.01924133,0.008554694,0.0009194444,0.003119175,0.1139398,0.0006361369,0.06156929],"genre_scores_gemma":[0.8073466,0.07478756,0.04947003,0.001495552,0.001056386,0.002516148,0.05266679,0.0001132223,0.01054768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9274812,"threshold_uncertainty_score":0.02143788,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3029510227","doi":"10.3760/cma.j.issn.1006-1924.2017.04.002","title":"The role of scientific research management department in the construction of biobank","year":2017,"lang":"en","type":"article","venue":"Zhonghua yixue keyan guanli zazhi","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Biobank; Biorepository; Infectious disease (medical specialty); Commission; Work (physics); Medicine; Disease; Political science; Engineering; Pathology; Bioinformatics","authors":[{"name":"Gang Shi","is_ca":false},{"name":"Qinghai Dai","is_ca":false},{"name":"Tiannan Men","is_ca":false},{"name":"Weiwei Gao","is_ca":false},{"name":"Yan Yan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07752603011206112,"gpt":0.4214696581055776,"spread":0.3439436279935165,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0822541,0.0007176248,0.0005159815,0.006206864,0.01062538,0.01489619,0.003914307,0.002281456,0.01398001],"category_scores_gemma":[0.062487,0.000873977,0.0005220665,0.004864831,0.003624934,0.005699637,0.007923029,0.004164856,0.003120692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01410692,"about_ca_system_score_gemma":0.07954101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005775225,"about_ca_topic_score_gemma":0.005301731,"domain_scores_codex":[0.9244229,0.03880182,0.007622623,0.005164789,0.01155418,0.01243368],"domain_scores_gemma":[0.8683441,0.02997081,0.01971337,0.009523487,0.03118978,0.04125848],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007189748,0.002066776,0.2396847,0.00143462,0.000158372,0.003166209,0.0236121,0.002256084,0.006162613,0.09563261,0.09350771,0.5315992],"study_design_scores_gemma":[0.0002846454,0.0008280688,0.1472425,0.001943932,0.0001825198,0.001580575,0.05499928,0.007293527,0.00700768,0.02797184,0.7503275,0.0003380663],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.391473,0.01057405,0.1417383,0.2323567,0.006684261,0.008101022,0.001382556,0.002396022,0.2052941],"genre_scores_gemma":[0.832327,0.003366426,0.0904953,0.01470117,0.002397809,0.002790378,0.0009458047,0.0003706885,0.05260544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9177459,"threshold_uncertainty_score":0.4350065,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3030270071","doi":"10.3760/cma.j.issn.1006-1924.2014.01.029","title":"A bibliometric analysis of Medical Papers published by Huai'an First People's Hospital during 2002-2011","year":2014,"lang":"en","type":"article","venue":"Zhonghua yixue keyan guanli zazhi","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Bibliometrics; Impact factor; Quarter (Canadian coin); Library science; Medicine; Psychology; History; Political science; Computer science; Law","authors":[{"name":"Xiaoqing Zhan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1214719491041856,"gpt":0.4450959523448008,"spread":0.3236240032406152,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004093288,0.0005988993,0.001109774,0.111941,0.001443371,0.002771043,0.0006497806,0.0004158799,0.004817897],"category_scores_gemma":[0.01616569,0.0002558529,0.001268841,0.1430572,0.0005103559,0.001330046,0.001327368,0.0002682265,0.001080733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005241541,"about_ca_system_score_gemma":0.006735983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02004701,"about_ca_topic_score_gemma":0.01760415,"domain_scores_codex":[0.992449,0.0007526806,0.002140239,0.0007106515,0.003462126,0.0004853867],"domain_scores_gemma":[0.9814605,0.004008892,0.007763413,0.0005543207,0.005432776,0.000780091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003576626,0.0001068861,0.8597938,0.006948023,0.000877089,0.0005807333,0.001685552,0.0007197693,0.0008283247,0.0008221827,0.02207255,0.1052075],"study_design_scores_gemma":[0.00001520244,0.00006267076,0.9850832,0.0003195525,0.0004016753,0.0003604818,0.001380585,0.0005343934,0.0005519087,0.0001535055,0.01110431,0.00003246285],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8119733,0.02980771,0.001418353,0.001355285,0.0002733807,0.0008782651,0.1339051,0.0004045278,0.01998409],"genre_scores_gemma":[0.9423542,0.01054963,0.001812537,0.0001554726,0.00036009,0.0007946102,0.03994184,0.00003987112,0.003991832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.888059,"threshold_uncertainty_score":0.03986067,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}