{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":14,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":14,"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":"8d86937780f1","filters":{"venue":"Asia-Pacific Journal of Risk and Insurance"}},"results":[{"id":"W4240734427","doi":"10.2202/2153-3792.1008","title":"Public-Private Programs for Covering Extreme Events: The Impact of Information Distribution on Risk-Sharing","year":2006,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Risk and Insurance","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"General partnership; Government (linguistics); Business; Economic interventionism; Distribution (mathematics); Information sharing; Reinsurance; Finance; Public economics; Actuarial science; Economics; Politics; Political science","authors":[{"name":"Erwann Michel‐Kerjan","is_ca":false},{"name":"Nathalie de Marcellis-Warin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02596561845815125,"gpt":0.2170751069317749,"spread":0.1911094884736237,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01088916,0.000715347,0.001128205,0.001340437,0.001421628,0.003430981,0.002573404,0.002993643,0.01283243],"category_scores_gemma":[0.03607749,0.0005074315,0.001214156,0.0008621452,0.003284317,0.007475789,0.004331771,0.002702534,0.0005491551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003803018,"about_ca_system_score_gemma":0.003449156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004555072,"about_ca_topic_score_gemma":0.002399869,"domain_scores_codex":[0.9922284,0.004787283,0.00016617,0.0006637094,0.0009456534,0.001208682],"domain_scores_gemma":[0.9261447,0.05780094,0.007772882,0.003940384,0.002121028,0.002220179],"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":[0.001090731,0.00192724,0.01316235,0.0004601132,0.0002623846,0.0005484548,0.00125931,0.1410233,0.003673333,0.7151076,0.005584884,0.1159002],"study_design_scores_gemma":[0.0006006187,0.001408914,0.01437384,0.0003643486,0.0003146661,0.0006590313,0.002567769,0.3846079,0.003861985,0.5792719,0.01181432,0.0001547393],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5998053,0.003309619,0.2688401,0.02040588,0.0001858926,0.0008329682,0.0004903401,0.0004656239,0.1056643],"genre_scores_gemma":[0.9926462,0.0003776528,0.004843213,0.0002077652,0.00004381525,0.00008971599,0.00001954598,0.00001724528,0.001754899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01283243,"threshold_uncertainty_score":0.05758804,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W340778617","doi":"10.1515/2153-3792.1121","title":"Asset Risk Management of Participating Contracts","year":2012,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Risk and Insurance","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Solvency; Business; Actuarial science; Valuation (finance); Market value; Portfolio; Investment strategy; Insurance policy; Stochastic game; Finance; Asset allocation; Economics; Microeconomics; Market liquidity","authors":[{"name":"Carole Bernard","is_ca":true},{"name":"Olivier Le Courtois","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01940077648575182,"gpt":0.2269053078643958,"spread":0.207504531378644,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003183155,0.0006851769,0.0007340218,0.0005263301,0.0008293695,0.002928096,0.001573723,0.001460125,0.002360646],"category_scores_gemma":[0.008244445,0.000317039,0.0007052473,0.0005296279,0.001307889,0.002948229,0.001494458,0.001461368,0.0001721607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009505221,"about_ca_system_score_gemma":0.001056072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001450685,"about_ca_topic_score_gemma":0.0007568013,"domain_scores_codex":[0.9984617,0.0005838257,0.00007196987,0.0002475407,0.0003113592,0.0003235861],"domain_scores_gemma":[0.9959383,0.001678807,0.001026156,0.0003572174,0.0003686275,0.0006308615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002707859,0.0003111238,0.01414917,0.0001099906,0.0001448909,0.00156042,0.0008379652,0.4947724,0.008720263,0.4273691,0.0009714199,0.05078245],"study_design_scores_gemma":[0.00003660961,0.0002779322,0.003379895,0.00002919034,0.00006406506,0.0003460476,0.0003195435,0.8216648,0.001908469,0.1702987,0.001639369,0.00003544682],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7800183,0.0007960989,0.2026864,0.0006530171,0.00003189249,0.00008723634,0.00007441459,0.00006900857,0.01558375],"genre_scores_gemma":[0.991869,0.0001711796,0.005667663,0.00001630866,0.00001858195,0.00002017727,0.0000307546,0.00001058171,0.002195762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003183155,"threshold_uncertainty_score":0.01683432,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2235192596","doi":"10.2202/2153-3792.1077","title":"IFRS Convergence: The Role of Stochastic Mortality Models in the Disclosure of Longevity Risk for Defined Benefit Plans","year":2011,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Risk and Insurance","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Waterloo","funders":"","keywords":"Longevity; Longevity risk; Accounting; Actuarial science; Pension; International Financial Reporting Standards; Convergence (economics); Business; Economics; Finance; Medicine; Economic growth; Gerontology","authors":[{"name":"Yosuke Fujisawa","is_ca":true},{"name":"Johnny Siu‐Hang Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.024354538444536,"gpt":0.2617665690603418,"spread":0.2374120306158058,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03723541,0.0009719882,0.001739142,0.002837952,0.001249282,0.006042583,0.002857716,0.003020797,0.004551678],"category_scores_gemma":[0.1281664,0.0007047511,0.001696184,0.001886105,0.003722545,0.01281916,0.005729451,0.005571571,0.0004440708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003511166,"about_ca_system_score_gemma":0.003019518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005020407,"about_ca_topic_score_gemma":0.002804696,"domain_scores_codex":[0.983721,0.01032263,0.001014969,0.001589271,0.002558282,0.0007937684],"domain_scores_gemma":[0.9192083,0.05582695,0.0143785,0.004938439,0.004261881,0.001385821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006598271,0.00004767319,0.00805639,0.00007813374,0.00006499184,0.000255943,0.0006556007,0.1203339,0.0001214016,0.8462869,0.001712844,0.02232021],"study_design_scores_gemma":[0.00001939549,0.00006914952,0.00169868,0.0001538809,0.00002785874,0.0001386423,0.0002683858,0.3606845,0.0001943915,0.6336157,0.003058755,0.00007063527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.143806,0.002176826,0.8055835,0.01409671,0.0003480845,0.000247729,0.000613636,0.0004271167,0.03270033],"genre_scores_gemma":[0.9289991,0.00154728,0.06298453,0.0006447996,0.0003387669,0.0001849001,0.0003701914,0.00008444671,0.004845957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03723541,"threshold_uncertainty_score":0.196922,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2577366808","doi":"10.1515/apjri-2016-0023","title":"Longevity Risk-Sharing Annuities: Partial Indexation in Mortality Experience","year":2017,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Risk and Insurance","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Annuity; Longevity risk; Indexation; Longevity; Life annuity; Actuarial science; Economics; Business; Medicine; Finance; Gerontology; Monetary economics; Pension","authors":[{"name":"Saisai Zhang","is_ca":true},{"name":"Johnny Siu‐Hang Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02768271519952935,"gpt":0.3242257028519673,"spread":0.2965429876524379,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002367924,0.0004268623,0.0006416267,0.0004709348,0.0004499067,0.00172797,0.001350864,0.0007127122,0.005306655],"category_scores_gemma":[0.008012895,0.0002228415,0.0007082033,0.0006827296,0.001444253,0.001963071,0.002529647,0.001220595,0.0003604204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009214244,"about_ca_system_score_gemma":0.0008209516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00115974,"about_ca_topic_score_gemma":0.0007736875,"domain_scores_codex":[0.9988432,0.0004533415,0.00006704585,0.0002210584,0.0001929892,0.0002223662],"domain_scores_gemma":[0.9969213,0.0009849243,0.0007347103,0.0007037809,0.0002875861,0.0003677781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007859705,0.0003676428,0.02675747,0.0001735052,0.000236007,0.0005674471,0.0008253787,0.4881087,0.004897518,0.3588754,0.002631853,0.1157731],"study_design_scores_gemma":[0.0001501689,0.001352907,0.02034527,0.0001137269,0.000233229,0.0007374799,0.0008739761,0.6862611,0.003276065,0.2790548,0.007499027,0.0001023706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7028993,0.0006527115,0.2638793,0.001348272,0.0001090089,0.0001631829,0.000407584,0.0002191805,0.0303214],"genre_scores_gemma":[0.9962226,0.00007082481,0.002475917,0.00002440328,0.00001608857,0.00001636301,0.00002766737,0.000005038006,0.001141122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005306655,"threshold_uncertainty_score":0.01775253,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389485471","doi":"10.1515/apjri-2023-0032","title":"Estimating Risk Relativity of Driving Records using Generalized Additive Models: A Statistical Approach for Auto Insurance Rate Regulation","year":2023,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Risk and Insurance","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Flexibility (engineering); Generalized linear model; Computer science; Class (philosophy); Theory of relativity; Statistical model; Econometrics; Estimation; Actuarial science; Mathematical optimization; Mathematics; Machine learning; Statistics; Economics; Artificial intelligence","authors":[{"name":"Shengkun Xie","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.032738388290304,"gpt":0.3029192148882552,"spread":0.2701808265979512,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02354243,0.0009565951,0.001305115,0.005290555,0.0008773742,0.002945342,0.00193975,0.001321339,0.001458438],"category_scores_gemma":[0.07140715,0.0005441448,0.00209358,0.003841225,0.001576195,0.001891043,0.003195863,0.002390143,0.0002562345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001229196,"about_ca_system_score_gemma":0.001696787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006146508,"about_ca_topic_score_gemma":0.005458099,"domain_scores_codex":[0.9825209,0.01139632,0.0008186732,0.002313783,0.002539702,0.0004105425],"domain_scores_gemma":[0.9427011,0.04065692,0.007152552,0.005542535,0.003372079,0.0005748766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004625823,0.0005288753,0.2804075,0.0003415951,0.001987556,0.0006006752,0.002473712,0.3456104,0.001815135,0.122349,0.002301094,0.2411219],"study_design_scores_gemma":[0.00001226503,0.0002688503,0.03509483,0.0001197979,0.000191842,0.0002111362,0.0007393761,0.9067735,0.0006763935,0.05398902,0.001818651,0.0001042363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1913743,0.000352675,0.8047075,0.0005497554,0.00009765983,0.0001997995,0.0003801694,0.0003570222,0.001981114],"genre_scores_gemma":[0.8823929,0.0001989897,0.1159415,0.00009389609,0.00008983543,0.0001838061,0.0003423621,0.00003398555,0.0007226941],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02354243,"threshold_uncertainty_score":0.1245058,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3177336196","doi":"10.1515/apjri-2020-0032","title":"Pricing Dynamics and Solvency in Insurance: Capital Allocation, Surplus and Insurance Cycle","year":2021,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Risk and Insurance","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Economic and Social Research Council","keywords":"Solvency; Solvency ratio; Underwriting; Actuarial science; Capital allocation line; Economics; Business; Finance; Microeconomics; Profit (economics)","authors":[{"name":"Adama Sanou","is_ca":true},{"name":"Issouf Soumaré","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007059308816423339,"gpt":0.1957038359454346,"spread":0.1886445271290112,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001944083,0.0006040233,0.001211612,0.0006166735,0.0005086181,0.002470015,0.001724042,0.002428958,0.003449938],"category_scores_gemma":[0.005441943,0.0006567748,0.001022491,0.0005692692,0.001989005,0.002979075,0.001125192,0.002015628,0.0001994657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00248251,"about_ca_system_score_gemma":0.001428279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006244276,"about_ca_topic_score_gemma":0.002793496,"domain_scores_codex":[0.9991986,0.0003414726,0.00002769698,0.0001433203,0.0001113779,0.0001775216],"domain_scores_gemma":[0.9981598,0.0008837198,0.0004136838,0.000113105,0.0001695946,0.0002600811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009347175,0.0001064549,0.002562208,0.00003926421,0.00005334278,0.0002952138,0.000123326,0.7441056,0.002350923,0.2457285,0.0005759594,0.003965772],"study_design_scores_gemma":[0.00001649447,0.00002643249,0.0005431795,0.000005958197,0.00001027515,0.00003637995,0.00002231288,0.9608051,0.0001384536,0.0382017,0.0001802257,0.00001353975],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5829115,0.0008563696,0.3963008,0.002790924,0.00007869119,0.00008077509,0.0001930981,0.0001332675,0.01665463],"genre_scores_gemma":[0.9930303,0.0001275872,0.002996756,0.00004670089,0.00002132449,0.0000202139,0.00002230389,0.00001168625,0.00372327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006244276,"threshold_uncertainty_score":0.01801193,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3164082249","doi":"10.1515/apjri-2019-0020","title":"Employment Rank and the Choice of Health Insurance Benefit Scheme among Bangladeshi Civil Servants","year":2021,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Risk and Insurance","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Salary; Exchequer; Subsidy; Civil servants; Preference; Government (linguistics); Rank (graph theory); Actuarial science; Cost sharing; Willingness to pay; Economics; Regret; State (computer science); Join (topology); Business; Demographic economics; Labour economics; Microeconomics; Political science; Politics; Statistics","authors":[{"name":"Syed Abdul Hamid","is_ca":false},{"name":"Afroza Begum","is_ca":false},{"name":"Syed M. Ahsan","is_ca":true},{"name":"Sushil Ranjan Howlader","is_ca":false},{"name":"Azhar Uddin","is_ca":false},{"name":"Taslima Rahman","is_ca":false},{"name":"Hafizur Rahman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02292201140514053,"gpt":0.2409703574657503,"spread":0.2180483460606097,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007783155,0.0001499319,0.000156788,0.0006909503,0.0005873549,0.0009953167,0.000143934,0.0004067367,0.006742537],"category_scores_gemma":[0.003049536,0.0001045422,0.0001702049,0.000766345,0.0004025967,0.000313777,0.0003477228,0.0003999523,0.001176208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003822321,"about_ca_system_score_gemma":0.0002430247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01066092,"about_ca_topic_score_gemma":0.01905555,"domain_scores_codex":[0.999474,0.0002074635,0.00003321543,0.00003142756,0.00009346216,0.0001604756],"domain_scores_gemma":[0.9968484,0.0008563778,0.001378149,0.00008274919,0.0002939682,0.0005403422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007914171,0.00009566134,0.9953642,0.000008245748,0.00001186135,0.00008395268,0.001412879,0.00005575265,0.0002308967,0.0001144898,0.0001697763,0.002373106],"study_design_scores_gemma":[0.000004676811,0.0001455681,0.9861314,0.00001321198,0.000005978391,0.0001054324,0.01266019,0.0002093901,0.00009413158,0.00008333347,0.0005381969,0.000008491191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990777,0.00002690114,0.0000109709,0.0000834415,0.000001106767,0.000002886034,0.00006666057,2.693161e-7,0.0007301266],"genre_scores_gemma":[0.99951,0.00002662145,0.00001129457,0.00001943512,0.000002070211,0.000001785086,0.00004228471,2.538744e-7,0.000386124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01066092,"threshold_uncertainty_score":0.02255601,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4238826008","doi":"10.2202/2153-3792.1020","title":"Modeling the Cumulative Cases from SARS","year":2008,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Risk and Insurance","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Mainland China; Econometrics; Randomness; Statistics; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; China; Mathematics; Medicine","authors":[{"name":"Renbao Chen","is_ca":false},{"name":"Ping Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2006914209517674,"gpt":0.3752159579635109,"spread":0.1745245370117435,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001802048,0.0007418349,0.0006485213,0.0009567445,0.0003107295,0.001169519,0.001605928,0.00170342,0.003102691],"category_scores_gemma":[0.009014374,0.0004801505,0.0008462471,0.0008337883,0.0007376429,0.001255282,0.0007518786,0.001251244,0.0005998608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123856,"about_ca_system_score_gemma":0.0009089924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02816503,"about_ca_topic_score_gemma":0.01651401,"domain_scores_codex":[0.9994799,0.0001662495,0.00002458649,0.0001562407,0.00006134874,0.0001116308],"domain_scores_gemma":[0.9970767,0.001741987,0.0006045733,0.0002090934,0.0002279259,0.0001396627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000957193,0.00008156009,0.02737976,0.00003899757,0.00005284085,0.0002437267,0.0001984048,0.9499653,0.0003961557,0.01174887,0.00106598,0.00873274],"study_design_scores_gemma":[0.00001845815,0.00005942583,0.005127037,0.00001338456,0.00002351591,0.00008529006,0.00007992967,0.9868427,0.0001619423,0.006709035,0.0008612595,0.00001796947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9033899,0.0004501571,0.0866867,0.001755101,0.0001124149,0.0001245586,0.002455193,0.0003764346,0.004649465],"genre_scores_gemma":[0.9879831,0.000225661,0.005980576,0.00008527999,0.0000426739,0.00008056164,0.0009106713,0.00003526872,0.004656218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02816503,"threshold_uncertainty_score":0.05600214,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2923417146","doi":"10.1515/apjri-2018-0013","title":"Actuarial Modeling and Analysis of the Hong Kong Life Annuity Scheme","year":2019,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Risk and Insurance","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Ministry of Education, India; Ministry of Earth Sciences","keywords":"Life annuity; Annuity; Actuarial science; Cash flow; Lump sum; Business; Economics; Payment; Finance; Pension","authors":[{"name":"Koon-Shing Kwong","is_ca":false},{"name":"Wai‐Sum Chan","is_ca":false},{"name":"Johnny Siu‐Hang Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01036117445996875,"gpt":0.2517147087468871,"spread":0.2413535342869183,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002198,0.0005328105,0.0005820645,0.0006944874,0.0004267246,0.001260383,0.001257837,0.001132148,0.004210135],"category_scores_gemma":[0.003633212,0.0004032479,0.0007339505,0.0004317364,0.0007802125,0.000827214,0.0007475287,0.001102213,0.0004070338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002044478,"about_ca_system_score_gemma":0.001449413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08156563,"about_ca_topic_score_gemma":0.02330407,"domain_scores_codex":[0.9996118,0.0001536362,0.00001710179,0.00006544119,0.00006015207,0.00009179576],"domain_scores_gemma":[0.9981208,0.0009255706,0.0003611554,0.0001019911,0.0003231623,0.000167243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001851249,0.00001945248,0.003341947,0.000009579326,0.00001508541,0.00006270163,0.00003971834,0.9809399,0.0001278189,0.01308921,0.000509024,0.001827017],"study_design_scores_gemma":[0.000001737623,0.000006080956,0.0004805538,0.000002612714,0.000003333036,0.000005046292,0.000008993235,0.9984875,0.00001875787,0.0008003145,0.0001816553,0.00000346653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6879681,0.0009945986,0.2813488,0.001999046,0.0001791487,0.0001815561,0.001557824,0.0002196542,0.02555133],"genre_scores_gemma":[0.9832599,0.0002710984,0.004669911,0.00005441273,0.00002702657,0.00005743984,0.0002776604,0.00001908619,0.01136344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08156563,"threshold_uncertainty_score":0.1621817,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403230631","doi":"10.1515/apjri-2024-0002","title":"Gaussian Mixture Regression Model with Sparsity for Clustering of Territory Risk in Auto Insurance","year":2024,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Risk and Insurance","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"","keywords":"Cluster analysis; Mixture model; Regression; Computer science; Econometrics; Logistic regression; Regression analysis; Statistics; Mathematics; Artificial intelligence","authors":[{"name":"Shengkun Xie","is_ca":true},{"name":"Chong Gan","is_ca":true},{"name":"Anna T. Ławniczak","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01333080440173405,"gpt":0.2142398018763244,"spread":0.2009089974745903,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005339385,0.001013222,0.001566423,0.001424331,0.0005885359,0.001612144,0.002404327,0.0015773,0.002310597],"category_scores_gemma":[0.01535098,0.0007649073,0.001861788,0.001484128,0.001344075,0.001672343,0.00147386,0.00219606,0.0005979773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513777,"about_ca_system_score_gemma":0.001140898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02109572,"about_ca_topic_score_gemma":0.01324958,"domain_scores_codex":[0.9970042,0.001498402,0.0001292082,0.000737605,0.000391608,0.0002389208],"domain_scores_gemma":[0.9929193,0.00434591,0.0008702478,0.0006379276,0.001044616,0.0001820738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001631017,0.00007828468,0.007849202,0.0001194919,0.0001584903,0.0001490415,0.0002563013,0.9051207,0.001562816,0.04560031,0.001889873,0.03705244],"study_design_scores_gemma":[0.000002843102,0.000006386092,0.0004744752,0.000005270147,0.000007793483,0.00000805641,0.00001177163,0.9962797,0.00010692,0.002933473,0.0001559824,0.000007380805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04259765,0.0002302001,0.9555506,0.000308231,0.00003097482,0.00005281149,0.0001609456,0.0002700674,0.0007986332],"genre_scores_gemma":[0.8362485,0.0004770498,0.1570174,0.0001338197,0.00009176668,0.0002075011,0.0009927835,0.0001239819,0.004707191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02109572,"threshold_uncertainty_score":0.04194587,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2562809503","doi":"10.1515/apjri-2019-0006","title":"Dynamic Hedging Strategies Based on Changing Pricing Parameters for Compound Ratchets","year":2019,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Risk and Insurance","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Issuer; Equity (law); Product (mathematics); Business; Order (exchange); Equity capital; Microeconomics; Computer science; Economics; Initial public offering; Finance; Mathematics","authors":[{"name":"Patrice Gaillardetz","is_ca":true},{"name":"Samia El Khoury","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01185875834760753,"gpt":0.2188246338042882,"spread":0.2069658754566806,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001863679,0.0004774559,0.000601393,0.0004777557,0.0002502724,0.001033333,0.0006954826,0.0007725867,0.002210702],"category_scores_gemma":[0.006074435,0.0002449933,0.0004620302,0.0002743257,0.0009348587,0.00121689,0.0005917227,0.0008041905,0.0001636856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005099874,"about_ca_system_score_gemma":0.0003211569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008338122,"about_ca_topic_score_gemma":0.0005564131,"domain_scores_codex":[0.999661,0.0001194825,0.0000196834,0.0000760319,0.00006307186,0.00006085151],"domain_scores_gemma":[0.9970773,0.001594029,0.000594157,0.0003051341,0.0002419107,0.0001874694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005388585,0.0002649169,0.007383578,0.00007643489,0.00008956141,0.0004929032,0.0001799638,0.8277046,0.02277076,0.09881468,0.0008225674,0.04086115],"study_design_scores_gemma":[0.00001221662,0.0001096179,0.0005973742,0.000004283145,0.0000123869,0.00005945484,0.00001940967,0.9898577,0.001108262,0.008009875,0.0001959696,0.00001343247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7086859,0.0002342805,0.287002,0.0001623371,0.00005012822,0.00007920571,0.00004896374,0.0001583626,0.003578869],"genre_scores_gemma":[0.9925922,0.00003647171,0.006603046,0.000009807402,0.000004827582,0.00001200807,0.00001068104,0.000006358549,0.0007246867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002210702,"threshold_uncertainty_score":0.009856164,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2243381210","doi":"10.1515/apjri-2014-0024","title":"Hedging Flood Losses Using Cat Bonds","year":2015,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Risk and Insurance","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université Laval","funders":"","keywords":"Business; Bond; Flood myth; Finance; Geography; Archaeology","authors":[{"name":"Alexandre Têtu","is_ca":true},{"name":"Van Son Lai","is_ca":true},{"name":"Issouf Soumaré","is_ca":true},{"name":"Michel Gendron","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03216915223941181,"gpt":0.2277673233361024,"spread":0.1955981710966906,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001931314,0.0004936391,0.0004647136,0.0005783036,0.0003031965,0.002053414,0.001187595,0.001182944,0.002880888],"category_scores_gemma":[0.005090981,0.0003141892,0.0004929643,0.0006313213,0.0007253886,0.001788456,0.0006666607,0.001220107,0.0001896067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155508,"about_ca_system_score_gemma":0.0007037394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01156988,"about_ca_topic_score_gemma":0.007367262,"domain_scores_codex":[0.9995327,0.0002079136,0.00002150726,0.00007809977,0.0001108086,0.00004888085],"domain_scores_gemma":[0.9984503,0.0006942538,0.0003398901,0.0001508931,0.0002073176,0.0001573031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008941191,0.00005724251,0.008303071,0.00002324535,0.0000517901,0.0001856457,0.0000747182,0.9118689,0.0008886085,0.07175727,0.0007539135,0.005946165],"study_design_scores_gemma":[0.00000974824,0.00002711612,0.0008562624,0.000004885031,0.000006469732,0.00002191989,0.00001626894,0.9850016,0.0001282289,0.01349388,0.0004258585,0.000007836921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6961533,0.001052051,0.2830261,0.001581874,0.0001874203,0.0001103133,0.0006765109,0.0002565802,0.01695585],"genre_scores_gemma":[0.9917452,0.000229584,0.003882764,0.00003365556,0.00002410342,0.00002250003,0.0001123583,0.00001419969,0.003935735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01156988,"threshold_uncertainty_score":0.02300507,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2249826377","doi":"10.1515/apjri-2013-0012","title":"Welfare Effects of Developing the Reverse Mortgage Market in China: An Individual and Social Perspective","year":2013,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Risk and Insurance","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","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":"Welfare; Consumption (sociology); China; Social security; Social Welfare; Economics; Asset (computer security); Population; Labour economics; Market economy; Medicine; Political science","authors":[{"name":"Minan Huang","is_ca":false},{"name":"Bingzheng Chen","is_ca":false},{"name":"Yinglu Deng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005542352060854547,"gpt":0.2073587799450144,"spread":0.2018164278841599,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001194022,0.0003324876,0.0002716496,0.0006778218,0.0005134018,0.0007942367,0.0003222481,0.0005830415,0.004108361],"category_scores_gemma":[0.001193662,0.0001134075,0.0006441855,0.0003093038,0.0008766598,0.0009455898,0.0009806966,0.0003698035,0.0001066747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484176,"about_ca_system_score_gemma":0.001139929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009363428,"about_ca_topic_score_gemma":0.009475875,"domain_scores_codex":[0.9995129,0.0002038821,0.00001416278,0.00003547754,0.00004961943,0.0001839722],"domain_scores_gemma":[0.9994097,0.0001434942,0.0001469335,0.00004009946,0.0001446536,0.0001151718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007482202,0.001858345,0.355698,0.0003360574,0.000523859,0.004665862,0.002128358,0.1794576,0.01222202,0.3356822,0.005515721,0.1011638],"study_design_scores_gemma":[0.0002721225,0.002249205,0.4081875,0.0002019848,0.000705865,0.0009354875,0.00656464,0.383028,0.006876359,0.1745596,0.01628641,0.0001328413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798993,0.0003236942,0.004680406,0.001286784,0.00002488751,0.00004494433,0.0001481576,0.00001485814,0.01357698],"genre_scores_gemma":[0.9983407,0.000155366,0.0003472212,0.0000516359,0.000007332787,0.000009762426,0.00002242883,0.000001105542,0.001064332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009363428,"threshold_uncertainty_score":0.01861781,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2295380485","doi":"10.1515/apjri-2015-0009","title":"On the Use of Long-Term Risk Measures as an Approach to Communicating Risks","year":2015,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Risk and Insurance","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Black swan theory; Actuarial science; Irrational number; Term (time); Time consistency; Risk measure; Volatility (finance); Extreme value theory; Risk analysis (engineering); Economics; Business; Econometrics; Financial economics; Mathematics; Statistics","authors":[{"name":"Jiandong Ren","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2472356810878239,"gpt":0.3747566030869812,"spread":0.1275209219991573,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01744141,0.001117968,0.0005437868,0.002703578,0.001384543,0.006888493,0.001836569,0.003542268,0.004073137],"category_scores_gemma":[0.06414508,0.0004541717,0.0008085322,0.001590458,0.007788842,0.01313995,0.004703644,0.004517965,0.0005348514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002433229,"about_ca_system_score_gemma":0.001024043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001179156,"about_ca_topic_score_gemma":0.0007502235,"domain_scores_codex":[0.9824848,0.0133037,0.0007889108,0.0009610593,0.002192703,0.0002687871],"domain_scores_gemma":[0.9232134,0.059599,0.007056869,0.004161288,0.004776645,0.001192798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001229834,0.0001004981,0.00207304,0.0001876197,0.00007234848,0.0002093042,0.003015353,0.008460383,0.001003259,0.9233354,0.00233418,0.05908564],"study_design_scores_gemma":[0.00002775134,0.0002155683,0.001316906,0.0004380414,0.00006865988,0.0003039884,0.001393495,0.0417936,0.001541518,0.9337246,0.01907383,0.0001019859],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04717707,0.004504822,0.8459595,0.02790726,0.0008257332,0.0001449344,0.0001202491,0.0003114918,0.07304893],"genre_scores_gemma":[0.8570973,0.001928823,0.1352231,0.00193144,0.0004332996,0.0002258581,0.00004824819,0.00006297108,0.003049081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01744141,"threshold_uncertainty_score":0.0922401,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}