{"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":"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":[0.63534695,0.0012389206,0.36151153,0.00043837973,0.00009792526,0.0001612084,0.00003386304,0.0000047447134,0.0011665128],"genre_scores_gemma":[0.98931044,0.0012305302,0.00909785,0.00013951358,0.00011994329,0.000009525554,0.000011656405,0.000012016338,0.00006852656],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987173,0.00006693687,0.0007885482,0.00013868653,0.00015088527,0.00013765531],"domain_scores_gemma":[0.9990847,0.000053295393,0.00038431617,0.00016098614,0.00025576167,0.00006094954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024252257,0.000111050795,0.0002249735,0.00017739007,0.0001760685,0.00006191395,0.0002279095,0.00007182016,0.000020307505],"category_scores_gemma":[0.0001614048,0.00008235354,0.000046464225,0.00023282725,0.000038331604,0.0003728362,0.000028593646,0.00046467848,0.000053388067],"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":[0.00014195085,0.00004430383,0.06362376,0.0000022955346,0.000036087695,0.0000015601844,0.00088792644,0.8826656,0.0000026562432,0.05193577,0.000112682195,0.0005454056],"study_design_scores_gemma":[0.00096254336,0.000100925696,0.008898923,0.000020632384,0.000022095184,0.000017312046,0.0005042313,0.9434554,0.000005458005,0.045136597,0.0007591085,0.00011675371],"about_ca_topic_score_codex":0.0014625364,"about_ca_topic_score_gemma":0.00032510713,"teacher_disagreement_score":0.35396352,"about_ca_system_score_codex":0.00017345144,"about_ca_system_score_gemma":0.000097312695,"threshold_uncertainty_score":0.33582798},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13074611,0.000091000154,0.86752176,0.0007760022,0.00007924958,0.0005014641,0.00026039648,0.000003093464,0.000020898218],"genre_scores_gemma":[0.6734706,0.000047444224,0.32621998,0.000069246475,0.00012546295,0.000014976082,0.000024806064,0.000011642822,0.000015787415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980448,0.00046573856,0.00070664345,0.00014096637,0.00052491104,0.000116960866],"domain_scores_gemma":[0.99692655,0.00089980825,0.00052231713,0.00038510468,0.0012074513,0.000058789046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037570118,0.00012281744,0.00024181862,0.000050555816,0.00019697208,0.000033782762,0.00046598059,0.00007026388,0.0000046157593],"category_scores_gemma":[0.0034539,0.00006075228,0.00003977904,0.00015043639,0.000101746475,0.00042305808,0.000071469374,0.00041599272,7.3302965e-7],"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":[0.0010837339,0.00021105418,0.0031343666,0.000021993996,0.00008374076,4.9121036e-7,0.0014995146,0.7615521,0.0010560848,0.225982,0.0005432141,0.0048317458],"study_design_scores_gemma":[0.0011090747,0.00014692779,0.00028706505,0.00005778673,0.00011245898,0.000026169655,0.0005055709,0.84879965,0.00042450943,0.14834525,0.00010729311,0.00007822429],"about_ca_topic_score_codex":0.00014163968,"about_ca_topic_score_gemma":0.0003417864,"teacher_disagreement_score":0.54272455,"about_ca_system_score_codex":0.00011031686,"about_ca_system_score_gemma":0.0004707907,"threshold_uncertainty_score":0.41348904},"labels":[],"label_agreement":null}]}