{"meta":{"query_hash":"e0130c06b3a4","filters":{"venue":"PSU Research Review"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"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/e0130c06b3a4","api":"https://metacan.xera.ac/api/v1/cohort?venue=PSU+Research+Review"},"results":[{"id":"W2749052963","doi":"10.1108/prr-05-2017-0028","title":"Hierarchy grey relational analysis using DEA and AHP","year":2017,"lang":"en","type":"article","venue":"PSU Research Review","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","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":"Laurentian University","funders":"","keywords":"Grey relational analysis; Analytic hierarchy process; Hierarchy; Computer science; Data envelopment analysis; Data mining; Artificial intelligence; Mathematics; Operations research; Statistics","score_opus":0.6571597209016958,"score_gpt":0.5934904773998255,"score_spread":0.06366924350187031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2749052963","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35661903,0.51190823,0.029038066,0.043011587,0.0004557345,0.0020811758,0.00007283358,0.00009864356,0.056714717],"genre_scores_gemma":[0.9337156,0.05314644,0.007934685,0.00047275308,0.00018461108,0.000025189878,0.000010553437,0.000022430622,0.00448776],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99155474,0.0017321015,0.0008625558,0.0008786299,0.0044344766,0.0005374876],"domain_scores_gemma":[0.99233234,0.002679901,0.00044909163,0.0024586292,0.0017860554,0.00029398466],"candidate_categories":["metaresearch","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03543961,0.00015326634,0.0007343942,0.001202936,0.002257568,0.0012645695,0.0018249021,0.0000738292,0.00094571535],"category_scores_gemma":[0.046489432,0.00010738474,0.0003753103,0.0037369381,0.0008993213,0.000757759,0.00081457087,0.0004885868,0.00053056335],"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":[0.00003491673,0.00024667894,0.3663137,0.00059338775,0.0011245548,0.00015117213,0.00038240335,0.00074808486,0.00044485345,0.03321232,0.019136641,0.5776113],"study_design_scores_gemma":[0.00047375725,0.00010255812,0.29568866,0.0022812788,0.0015668959,0.000033519093,0.000102145874,0.15900487,0.00004641768,0.053253386,0.48668534,0.0007611813],"about_ca_topic_score_codex":0.000252662,"about_ca_topic_score_gemma":0.00014995754,"teacher_disagreement_score":0.5770965,"about_ca_system_score_codex":0.000084917556,"about_ca_system_score_gemma":0.00024124557,"threshold_uncertainty_score":0.9999676},"labels":[],"label_agreement":null},{"id":"W3127229614","doi":"10.1108/prr-08-2020-0027","title":"Analysis of COVID-19 infections in GCC countries to identify the indicators correlating the number of cases and deaths","year":2021,"lang":"en","type":"article","venue":"PSU Research Review","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":11,"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":"Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; China; Demography; Population; 2019-20 coronavirus outbreak; Mortality rate; Geography; Socioeconomics; Medicine; Virology; Outbreak; Economics; Infectious disease (medical specialty); Pathology; Disease; Sociology","score_opus":0.5236963409595964,"score_gpt":0.6136959837051168,"score_spread":0.08999964274552041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127229614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75011504,0.20178375,0.00081259554,0.04378715,0.000051230752,0.002045347,0.00009643337,0.000031170897,0.0012772747],"genre_scores_gemma":[0.8423399,0.15533397,0.0002229021,0.0017339196,0.000016326285,0.00024395394,0.0000035461471,0.000008819387,0.00009670358],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99589866,0.0023389042,0.0007058838,0.0002518714,0.0005378277,0.00026683437],"domain_scores_gemma":[0.9386245,0.060173072,0.00022545933,0.0005426004,0.00032943225,0.00010494377],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.010929391,0.000103961036,0.0007462632,0.00018671389,0.00030533588,0.000023494436,0.00025800132,0.000046604273,0.00044678367],"category_scores_gemma":[0.22028051,0.00005373544,0.00017384138,0.0046468554,0.00045867122,0.000037917413,0.0006000709,0.0003584214,0.000011701955],"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":[0.00000665487,0.00010333495,0.95302343,0.0049361046,0.0005474416,0.000025551422,0.0012152959,0.000027117532,0.000007304099,0.031934857,0.005550602,0.002622298],"study_design_scores_gemma":[0.000615446,0.0001967053,0.581463,0.007584974,0.0037867208,0.000095777556,0.0053911763,0.00033695667,0.00007740185,0.070687205,0.3292287,0.0005359698],"about_ca_topic_score_codex":0.0014839772,"about_ca_topic_score_gemma":0.0027103545,"teacher_disagreement_score":0.37156048,"about_ca_system_score_codex":0.00012368271,"about_ca_system_score_gemma":0.00022466293,"threshold_uncertainty_score":0.78628737},"labels":[],"label_agreement":null}]}