{"meta":{"query_hash":"828b9c7f3ed0","filters":{"venue":"The Journal of Operational Risk"},"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/828b9c7f3ed0","api":"https://metacan.xera.ac/api/v1/cohort?venue=The+Journal+of+Operational+Risk"},"results":[{"id":"W2277994881","doi":"10.21314/jop.2015.157","title":"Modeling correlated frequencies with application in operational risk management","year":2015,"lang":"en","type":"article","venue":"The Journal of Operational Risk","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Risk management; Operational risk; Computer science; Risk analysis (engineering); Business; Finance","score_opus":0.03432574097760941,"score_gpt":0.23065511915509096,"score_spread":0.19632937817748156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2277994881","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":[0.01809575,0.00008654074,0.9811498,0.00006145496,0.000012334142,0.000014414298,0.00001903486,0.00007105103,0.00048955873],"genre_scores_gemma":[0.84010136,0.00032468158,0.15786214,0.0000727597,0.000074276104,0.00009531003,0.00010332219,0.00007425585,0.001291796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981834,0.0008762,0.0000903805,0.0002463819,0.00048761876,0.00011592144],"domain_scores_gemma":[0.993491,0.0044373055,0.00092985784,0.00053533027,0.0004921653,0.000114283364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034171364,0.00081522693,0.00088752544,0.0014942795,0.00049679,0.0016752963,0.0015744885,0.0010597273,0.0012936286],"category_scores_gemma":[0.012142495,0.0005528643,0.001010779,0.0014530814,0.0008987568,0.0018305948,0.0012538043,0.0013519299,0.00028436608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022935385,0.000049756054,0.0019083788,0.00002038764,0.00004762526,0.000091330636,0.000056886365,0.9423268,0.00068781915,0.041379016,0.00019400839,0.013215047],"study_design_scores_gemma":[0.0000016619169,0.000005739278,0.00018823368,0.0000031346513,0.0000034763934,0.000017604547,0.0000050110316,0.98923814,0.0001303848,0.010258023,0.0001430775,0.000005513986],"about_ca_topic_score_codex":0.002808991,"about_ca_topic_score_gemma":0.0017940549,"teacher_disagreement_score":0.0034171364,"about_ca_system_score_codex":0.00088246545,"about_ca_system_score_gemma":0.0007219514,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2507703569","doi":"10.21314/jop.2015.168","title":"Application of the convolution operator for scenario integration with loss data in operational risk modeling","year":2015,"lang":"en","type":"article","venue":"The Journal of Operational Risk","topic":"Advanced Statistical Methods and Models","field":"Mathematics","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":"York University; Toronto Metropolitan University","funders":"","keywords":"Convolution (computer science); Computer science; Context (archaeology); Operational risk; Operator (biology); Baseline (sea); Function (biology); Econometrics; Data mining; Mathematical optimization; Algorithm; Risk management; Mathematics; Machine learning","score_opus":0.1730197064052767,"score_gpt":0.4259013543510603,"score_spread":0.2528816479457836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2507703569","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":[0.0032164275,0.00004547565,0.9960657,0.00006493958,0.000010486625,0.000010620929,0.000013824772,0.000045924113,0.0005267578],"genre_scores_gemma":[0.36462817,0.00041776802,0.6327689,0.00014577985,0.000107203436,0.00019072807,0.0001360258,0.00012139507,0.0014840466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969903,0.0015182109,0.00020083251,0.00030800293,0.0008375997,0.00014488038],"domain_scores_gemma":[0.9922996,0.006040356,0.000492826,0.000535003,0.00050662586,0.00012566206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007737273,0.000879276,0.0007675436,0.0014877964,0.00059929304,0.0015396615,0.0012353748,0.0010575433,0.001473762],"category_scores_gemma":[0.01733226,0.00046130235,0.0014419922,0.0017508409,0.0015236477,0.003277846,0.0022336745,0.0024140049,0.00026205837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063301006,0.000051808354,0.0013000092,0.000070438466,0.000075247546,0.00030107345,0.00026909317,0.666893,0.002186911,0.26656175,0.00061864336,0.061608735],"study_design_scores_gemma":[0.0000023053526,0.000021981672,0.00013440555,0.0000113593405,0.0000073473097,0.000075730495,0.0000143247835,0.9332724,0.0006302442,0.06500197,0.00081492326,0.000013043286],"about_ca_topic_score_codex":0.003129058,"about_ca_topic_score_gemma":0.0018036342,"teacher_disagreement_score":0.007737273,"about_ca_system_score_codex":0.0010733564,"about_ca_system_score_gemma":0.0012800625,"threshold_uncertainty_score":0.040919125},"labels":[],"label_agreement":null}]}