{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":50,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":50,"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":"6161a2dc2ef3","filters":{"venue":"Scandinavian Actuarial Journal"}},"results":[{"id":"W1973545414","doi":"10.1080/03461230600992266","title":"On a risk model with dependence between interclaim arrivals and claim sizes","year":2006,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":192,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Risk model; Econometrics; Mathematics; Computer science; Actuarial science; Statistics; Business","authors":[{"name":"Mathieu Boudreault","is_ca":true},{"name":"Hélène Cossette","is_ca":true},{"name":"David Landriault","is_ca":true},{"name":"Étienne Marceau","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05238925900530542,"gpt":0.3296447166536611,"spread":0.2772554576483556,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00350471,0.0003006611,0.0005507662,0.0003573312,0.0008257012,0.001124135,0.0008579867,0.000191479,0.0001569513],"category_scores_gemma":[0.0009421274,0.0001765119,0.0001672779,0.0003684727,0.0003645242,0.0008154097,0.0001347607,0.0009450788,0.00006782798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001301197,"about_ca_system_score_gemma":0.0002018495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002241678,"about_ca_topic_score_gemma":0.0003107041,"domain_scores_codex":[0.9958529,0.0004339781,0.0008636995,0.0006323685,0.001695758,0.0005212981],"domain_scores_gemma":[0.9969106,0.001346048,0.0006098415,0.0005086743,0.0002489818,0.0003758143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.006243882,0.0006414373,0.5954579,0.00002087031,0.0003373531,0.0003365427,0.004665614,0.09584138,0.0007729363,0.0336752,0.01617103,0.2458359],"study_design_scores_gemma":[0.001811137,0.0006316384,0.04433943,0.0001177392,0.00007569062,0.0002288514,0.0001626179,0.01070485,0.0003112942,0.9410786,0.0001974534,0.0003406794],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8513198,0.00007700396,0.1450842,0.0007777087,0.000261858,0.0001934019,0.00006434613,0.00003138535,0.002190311],"genre_scores_gemma":[0.9944428,0.00004722336,0.00418255,0.00009803133,0.0006812116,0.00000398723,0.000001983887,0.000019522,0.0005227331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9074034,"threshold_uncertainty_score":0.9999128,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2003043371","doi":"10.1080/03461230601110447","title":"On composite lognormal-Pareto models","year":2007,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":182,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pareto principle; Log-normal distribution; Mathematics; Econometrics; Composite number; Pareto distribution; Statistics; Applied mathematics; Computer science; Mathematical optimization; Mathematical economics; Algorithm","authors":[{"name":"David P. M. Scollnik","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01729185838393545,"gpt":0.2500035017044091,"spread":0.2327116433204737,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001069458,0.0001960198,0.0001928164,0.0003266898,0.0004011352,0.000929139,0.001434369,0.00006652263,0.00006391273],"category_scores_gemma":[0.00001833878,0.0001650599,0.0001161525,0.0003286633,0.00004427903,0.001870313,0.0002694727,0.000421366,0.0001250372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000120712,"about_ca_system_score_gemma":0.0000351983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001594712,"about_ca_topic_score_gemma":0.000006405129,"domain_scores_codex":[0.9981447,0.00004923697,0.0003617515,0.0003014703,0.0005556761,0.0005871738],"domain_scores_gemma":[0.9989195,0.00008383387,0.0001829759,0.0004292194,0.00006334735,0.0003210934],"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":[0.0003519218,0.0003666038,0.0008432838,0.00001235098,0.0001730737,0.001642925,0.001003014,0.002051557,0.0003959095,0.5098782,0.03636065,0.4469206],"study_design_scores_gemma":[0.0117697,0.002813715,0.02135844,0.0005642454,0.0001365537,0.002418301,0.0002866682,0.1807383,0.0040909,0.7323725,0.0406429,0.002807786],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01186032,0.00003291849,0.9555722,0.0006047809,0.002812142,0.000114328,0.00000519835,0.0001004115,0.0288977],"genre_scores_gemma":[0.9748145,0.00002937364,0.02244881,0.0009569952,0.001137085,0.000001153172,0.000009565527,0.00001522347,0.000587289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9629542,"threshold_uncertainty_score":0.8959709,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2164551850","doi":"10.1080/03461230500361943","title":"The Tail Probability of Discounted Sums of Pareto-like Losses in Insurance","year":2005,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":106,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Society of Actuaries","keywords":"Mathematics; Pareto principle; Random variable; Sequence (biology); Context (archaeology); Discounting; Mathematical optimization; Applied mathematics; Statistics; Economics","authors":[{"name":"Marc Goovaerts","is_ca":false},{"name":"Rob Kaas","is_ca":false},{"name":"Roger J. A. Laeven","is_ca":false},{"name":"Qihe Tang","is_ca":true},{"name":"Raluca Vernic","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07003575639101371,"gpt":0.3546125775180508,"spread":0.284576821127037,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074498,0.0001780448,0.0005273731,0.0001904123,0.0003029544,0.0002208355,0.00136274,0.0001250784,0.000141661],"category_scores_gemma":[0.003233464,0.00009451395,0.0002541255,0.000808472,0.0008663227,0.0007624418,0.0001309862,0.0005090266,0.00001445907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001603158,"about_ca_system_score_gemma":0.0003819405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001791128,"about_ca_topic_score_gemma":0.002282089,"domain_scores_codex":[0.995335,0.000618286,0.001762999,0.000335326,0.00153989,0.0004085352],"domain_scores_gemma":[0.9962996,0.001382327,0.0009421373,0.0006875864,0.0005389745,0.0001494022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002353845,0.0005867243,0.8124772,0.00002702029,0.00006276495,0.00001134308,0.004388426,0.003907654,0.001709645,0.005535148,0.001645283,0.1672949],"study_design_scores_gemma":[0.002591222,0.0003718507,0.5386778,0.0002406282,0.00002097163,0.00009633486,0.001116187,0.001396198,0.003476333,0.4456376,0.006067037,0.0003078444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945608,0.0004657019,0.001378972,0.001689401,0.0008057737,0.0002907477,0.00004623254,0.000007035616,0.0007553414],"genre_scores_gemma":[0.9988373,0.0001915694,0.0005351754,0.0000327067,0.0002451536,0.000004907094,8.129606e-7,0.000007587851,0.0001447969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4401024,"threshold_uncertainty_score":0.3870991,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2153472051","doi":"10.1080/03461230510006982","title":"Asymptotic ruin probabilities of the renewal model with constant interest force and regular variation","year":2004,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":79,"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":"Mathematics; Ruin theory; Constant (computer programming); Simple (philosophy); First-hitting-time model; Risk model; Applied mathematics; Mathematical economics; Calculus (dental); Statistics; Computer science","authors":[{"name":"Qihe Tang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06918481479829833,"gpt":0.2998258980808774,"spread":0.2306410832825791,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00232948,0.0001757714,0.0003406328,0.0001433927,0.0004219728,0.0003527327,0.0006331374,0.0001122806,0.00003346936],"category_scores_gemma":[0.0009616978,0.00008732482,0.0001318173,0.0003065973,0.0005852502,0.0005578627,0.0001407931,0.0003399411,0.000002371253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001845145,"about_ca_system_score_gemma":0.0005951236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005964224,"about_ca_topic_score_gemma":0.0002450691,"domain_scores_codex":[0.9974256,0.0002437596,0.0007446876,0.0003260922,0.0009801899,0.0002797123],"domain_scores_gemma":[0.99819,0.0002502265,0.0005514706,0.0004847838,0.0003612774,0.0001622482],"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":[0.003526137,0.0005378166,0.02665426,0.00007214618,0.0002557538,0.00002885406,0.02579037,0.2032652,0.008789469,0.7222686,0.000259679,0.008551746],"study_design_scores_gemma":[0.001658796,0.0003167958,0.005239877,0.0002290334,0.00004185965,0.000348883,0.0005250461,0.00446748,0.001024403,0.9859978,0.00001215736,0.0001378787],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9176913,0.00006633455,0.07780568,0.002676213,0.0004755668,0.0003451972,0.00002128099,0.00001210604,0.0009062453],"genre_scores_gemma":[0.9952956,0.00001770025,0.00407909,0.00006869185,0.0001484199,0.0000034696,5.181582e-7,0.000009877476,0.0003766311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2637292,"threshold_uncertainty_score":0.3561003,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2099652093","doi":"10.1080/03461238.1993.10413920","title":"On recursive evaluation of mixed poisson probabilities and related quantities","year":2011,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":69,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mixing (physics); Poisson distribution; Mathematics; Applied mathematics; Statistical physics; Variety (cybernetics); Random variable; Statistics; Physics","authors":[{"name":"Gordon E. Willmot","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1698791879297067,"gpt":0.3690132855166798,"spread":0.199134097586973,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009025784,0.0001028251,0.0001729462,0.00009201107,0.0001638778,0.00003246113,0.00008226296,0.00007384552,0.001613706],"category_scores_gemma":[0.002257813,0.00008610896,0.00005344025,0.000105714,0.0001719351,0.0001105161,0.00001325992,0.0001696218,0.00001445028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000972195,"about_ca_system_score_gemma":0.00007894717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001323414,"about_ca_topic_score_gemma":0.000004195742,"domain_scores_codex":[0.9987267,0.0002020414,0.0004116834,0.0001191475,0.0004057657,0.0001346078],"domain_scores_gemma":[0.9987335,0.0003380323,0.0003044105,0.000125891,0.0003977802,0.0001004372],"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":[0.00009440487,0.0001206481,0.0001296995,0.00001772027,0.00003655814,9.448971e-7,0.001634903,0.000001410162,0.00006397158,0.9930595,0.001377229,0.003462974],"study_design_scores_gemma":[0.0009774423,0.0002101055,0.02338287,0.0001100528,0.0001386124,0.00005654091,0.0007465732,0.0003154068,0.0006937661,0.9732612,0.00001398993,0.00009340285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638639,0.00003563672,0.01888966,0.0003120216,0.0004773584,0.0005447368,0.0001200353,0.0000373084,0.01571936],"genre_scores_gemma":[0.9958504,0.000008701478,0.003959551,0.000009083435,0.00003616732,0.00001731605,0.00001412059,0.000009034076,0.00009566007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03198648,"threshold_uncertainty_score":0.9992989,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2231834299","doi":"10.1080/03461238.2015.1090476","title":"Ordering properties of the smallest and largest claim amounts in a general scale model","year":2015,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":45,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Majorization; Mathematics; Weibull distribution; Stochastic ordering; Bernoulli's principle; Scale (ratio); Random variable; Exponential function; Applied mathematics; Matrix (chemical analysis); Combinatorics; Statistics; Mathematical analysis","authors":[{"name":"Ghobad Barmalzan","is_ca":false},{"name":"Amir T. Payandeh Najafabadi","is_ca":false},{"name":"N. Balakrishnan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1297771631410745,"gpt":0.3311579184466006,"spread":0.201380755305526,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002881287,0.00008594699,0.0001513289,0.00004373922,0.0001212662,0.0000611932,0.0001381393,0.00005091832,0.0000250834],"category_scores_gemma":[0.00038748,0.0000567865,0.00003384556,0.00013033,0.0001154653,0.00007661394,0.00005332988,0.0001949433,0.000002459751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008379266,"about_ca_system_score_gemma":0.0001217641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000473152,"about_ca_topic_score_gemma":0.00009637027,"domain_scores_codex":[0.9991798,0.00005042358,0.0003121176,0.00009018365,0.0002149723,0.0001525001],"domain_scores_gemma":[0.9994804,0.00002949274,0.0001372517,0.0001157139,0.000110482,0.0001266864],"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":[0.0005526717,0.001040349,0.07353019,0.000213747,0.00009919015,0.00001295125,0.008697988,0.003382456,0.01956893,0.8718013,0.01234572,0.008754559],"study_design_scores_gemma":[0.006830484,0.0001281757,0.07656862,0.000703408,0.000124072,0.0004089205,0.001310491,0.2710784,0.005060263,0.6368898,0.0003347571,0.0005626435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464392,0.00002862374,0.05191921,0.0006521732,0.0001244098,0.0001727339,0.00003756927,0.0000095962,0.0006164971],"genre_scores_gemma":[0.9933254,0.000006464921,0.006399686,0.00004050114,0.00007689072,0.000009375502,0.00000190281,0.000008133972,0.0001316748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2676959,"threshold_uncertainty_score":0.2315686,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2573661883","doi":"10.1080/03461238.2017.1278717","title":"Ordering the largest claim amounts and ranges from two sets of heterogeneous portfolios","year":2017,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Stochastic ordering; Sample (material); Interdependence; Mathematics; Hazard; Econometrics; Mathematical economics; Applied mathematics","authors":[{"name":"N. Balakrishnan","is_ca":true},{"name":"Yiying Zhang","is_ca":false},{"name":"Peng Zhao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06940472150658583,"gpt":0.389840546351964,"spread":0.3204358248453781,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002480219,0.0001155504,0.0002011781,0.00002956135,0.0008641177,0.0002873089,0.0003033103,0.00005120647,0.0004634819],"category_scores_gemma":[0.0006633636,0.00008075879,0.00006271761,0.00003195808,0.0002042248,0.000119792,0.00007062867,0.0002030519,0.00001165727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000310345,"about_ca_system_score_gemma":0.00003411973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001139341,"about_ca_topic_score_gemma":0.00005104901,"domain_scores_codex":[0.9991074,0.00004994231,0.0003194182,0.0001250927,0.0002249775,0.0001732056],"domain_scores_gemma":[0.9987146,0.0002689946,0.0004508182,0.0003336387,0.00009804202,0.0001338815],"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":[0.0008045731,0.0007260022,0.05421326,0.0001481087,0.001089197,0.0002315103,0.003355145,0.00008138732,0.01042499,0.6658065,0.02048168,0.2426376],"study_design_scores_gemma":[0.005015625,0.0001138946,0.2566857,0.000273156,0.0003588397,0.0005720644,0.0002706863,0.003071878,0.003823743,0.7265304,0.002840266,0.0004437364],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9200308,0.0001009464,0.07534157,0.001975339,0.0005185553,0.0002776335,0.0005835404,0.00002809969,0.001143535],"genre_scores_gemma":[0.9967452,0.00004988848,0.002820342,0.00004531155,0.0002667048,0.000005731667,0.0000147663,0.0000119911,0.00004008802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2421938,"threshold_uncertainty_score":0.6646182,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2105980583","doi":"10.1080/03461230701396474","title":"Analysis of a threshold dividend strategy for a MAP risk model","year":2007,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ruin theory; Dividend; Mathematics; Risk model; Laplace transform; First-hitting-time model; Econometrics; Exponential distribution; Exponential function; Joint probability distribution; Risk process; Present value; Mathematical economics; Economics; Distribution (mathematics); Markov process; Applied mathematics; Statistics; Mathematical analysis; Finance","authors":[{"name":"Andrei L. Badescu","is_ca":true},{"name":"Steve Drekic","is_ca":true},{"name":"David Landriault","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1600398683517215,"gpt":0.4194394985970918,"spread":0.2593996302453703,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01321578,0.0002112682,0.0007596319,0.001231666,0.0004805482,0.0004177094,0.001084945,0.0001995914,0.0003005599],"category_scores_gemma":[0.001385549,0.0001416348,0.001005133,0.001404184,0.00020869,0.0006032039,0.00009845268,0.0004501704,0.00001295188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001192137,"about_ca_system_score_gemma":0.0002499543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007524238,"about_ca_topic_score_gemma":0.0006586541,"domain_scores_codex":[0.9957248,0.0001431448,0.001529906,0.0004653456,0.001566281,0.0005705343],"domain_scores_gemma":[0.996009,0.001280237,0.001086143,0.0005963293,0.0006364826,0.0003918329],"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":[0.004825772,0.0006555003,0.1503159,0.00002032893,0.002943075,0.00004099352,0.005410541,0.6689866,0.001227729,0.01825701,0.006118497,0.1411981],"study_design_scores_gemma":[0.001453722,0.000325405,0.02387521,0.00002406373,0.001167474,0.0000185729,0.0005369898,0.3585257,0.0003091672,0.6132786,0.000235649,0.0002494394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4399591,0.0001425468,0.5581887,0.0001627272,0.0004519693,0.0001992893,0.0001721021,0.0000108698,0.0007126513],"genre_scores_gemma":[0.9951557,0.00004224561,0.003888173,0.00004931939,0.0003811757,0.000003161032,0.000005431487,0.0000121204,0.0004627011],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5950216,"threshold_uncertainty_score":0.5775697,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2001718984","doi":"10.1080/03461230510009835","title":"The surplus prior to ruin and the deficit at ruin for a correlated risk process","year":2005,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ruin theory; Mathematics; Risk process; Risk model; Function (biology); Markov process; First-hitting-time model; Probability density function; Mathematical economics; Process (computing); Applied mathematics; Econometrics; Statistics; Computer science","authors":[{"name":"Andrei L. Badescu","is_ca":true},{"name":"Lothar Breuer","is_ca":false},{"name":"Steve Drekic","is_ca":true},{"name":"Guy Latouche","is_ca":false},{"name":"David A. Stanford","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03942877492069546,"gpt":0.3580423868706756,"spread":0.3186136119499802,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01144043,0.0002322496,0.0004154734,0.0001352938,0.003592796,0.001399802,0.001246605,0.0001520528,0.0001246317],"category_scores_gemma":[0.006978206,0.00009853868,0.0002638609,0.0004778617,0.0004754698,0.0003916059,0.0002054271,0.0005983355,0.0001254236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002088935,"about_ca_system_score_gemma":0.0002237108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005603533,"about_ca_topic_score_gemma":0.000899138,"domain_scores_codex":[0.9962084,0.0006226267,0.0009683149,0.0004470136,0.00115782,0.000595796],"domain_scores_gemma":[0.993997,0.004073969,0.0006031293,0.0005071188,0.0004504777,0.0003683071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.02626898,0.0001913019,0.01703018,0.00001051419,0.0002353215,0.00001371819,0.02441853,0.008737222,0.0001113976,0.007755223,0.02967139,0.8855562],"study_design_scores_gemma":[0.0258859,0.001137306,0.03012979,0.0001952021,0.000419069,0.001568298,0.004552595,0.05884708,0.0005118143,0.7052262,0.1704459,0.001080887],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961376,0.0008606256,0.01694231,0.01711332,0.001593392,0.00141281,0.00005950715,0.00002837811,0.0006136366],"genre_scores_gemma":[0.9955857,0.0002239262,0.0006917466,0.0003431048,0.0009143935,0.00004511538,0.000001059825,0.00001788859,0.0021771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8844754,"threshold_uncertainty_score":0.9996368,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2901789526","doi":"10.1080/03461238.2018.1546224","title":"Modeling cause-of-death mortality using hierarchical Archimedean copula","year":2018,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Life expectancy; Copula (linguistics); Longevity risk; Econometrics; Mortality rate; Pension; Cohort; Longevity; Statistics; Actuarial science; Economics; Medicine; Mathematics; Population; Gerontology; Environmental health","authors":[{"name":"Hong Li","is_ca":true},{"name":"Yang Lu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1008632429350737,"gpt":0.3918964452063165,"spread":0.2910332022712428,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002938532,0.0002690328,0.0004667676,0.0003963829,0.001803143,0.0003573936,0.0007538316,0.0001810196,0.0003877633],"category_scores_gemma":[0.0002111433,0.0002291481,0.0003421228,0.0005297002,0.00102145,0.0004978704,0.0001374451,0.000724242,0.00001937993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003050781,"about_ca_system_score_gemma":0.0004663976,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008752521,"about_ca_topic_score_gemma":0.002688221,"domain_scores_codex":[0.9957628,0.000717485,0.0008204155,0.0003908922,0.001399181,0.0009092815],"domain_scores_gemma":[0.9983255,0.00006354148,0.0003702372,0.0003951827,0.0003392548,0.0005063431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007250804,0.0006223884,0.8654525,0.00007387275,0.001248669,0.0003326975,0.02902334,0.002016379,0.0007326856,0.07692182,0.0007123045,0.02213827],"study_design_scores_gemma":[0.01049468,0.001989237,0.5042122,0.001854693,0.002670094,0.0004639314,0.01495975,0.09883113,0.0008899945,0.3452647,0.01387666,0.004492922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684646,0.00005267184,0.01434573,0.0002722327,0.003353689,0.0003625632,0.00002104684,0.00006674024,0.01306074],"genre_scores_gemma":[0.9919163,0.0001373262,0.002801871,0.0001014441,0.004901096,0.000002915071,0.000004185033,0.00003349867,0.0001013531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3612403,"threshold_uncertainty_score":0.9994964,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2052424671","doi":"10.1080/03461238.2014.954606","title":"Dynamic preferences for popular investment strategies in pension funds","year":2014,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Society of Actuaries; Alexander von Humboldt-Stiftung","keywords":"Investment strategy; Expected utility hypothesis; Portfolio insurance; Pension; Economics; Investment (military); Life insurance; Time horizon; Actuarial science; Function (biology); Portfolio; Microeconomics; Financial economics; Finance; Replicating portfolio; Portfolio optimization","authors":[{"name":"Carole Bernard","is_ca":true},{"name":"Minsuk Kwak","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03078326566393398,"gpt":0.2552621163197734,"spread":0.2244788506558394,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004965307,0.0001381146,0.0003126641,0.0002239487,0.0002141956,0.0002231227,0.0002423443,0.0001007512,0.00004234405],"category_scores_gemma":[0.0001433626,0.0001382106,0.000092621,0.0001805104,0.00004602069,0.0002734368,0.00002761769,0.0001943168,0.00004484281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375018,"about_ca_system_score_gemma":0.00005595268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001502898,"about_ca_topic_score_gemma":0.0001766377,"domain_scores_codex":[0.9988313,0.000006781694,0.0005480532,0.0002607716,0.00004590715,0.0003072333],"domain_scores_gemma":[0.9993199,0.00004209375,0.0003411783,0.0001510363,0.00003909965,0.0001066955],"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":[0.00005887161,0.00006268788,0.002631116,0.00001738778,0.00001172018,8.360227e-7,0.0003033845,0.00006663619,0.00003983406,0.9929584,0.00009180673,0.003757364],"study_design_scores_gemma":[0.0009594482,0.0002336547,0.03175902,0.00003959069,0.000006374462,0.0000155196,0.0001635233,0.002488849,0.000006017072,0.9578584,0.006289591,0.0001800225],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1247746,0.0005224482,0.8682538,0.0005961357,0.0009523004,0.0003521781,0.00005778876,0.00001984448,0.004470925],"genre_scores_gemma":[0.993973,0.00006222286,0.005350262,0.0001580121,0.0002892739,0.00005598007,0.00001981172,0.00001562049,0.0000758706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8691983,"threshold_uncertainty_score":0.5636064,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2406641281","doi":"10.1080/03461238.2016.1184710","title":"Optimal insurance in the presence of reinsurance","year":2016,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; University of Waterloo; Society of Actuaries","keywords":"Reinsurance; Actuarial science; Insurance policy; Economics; Distortion (music); Business; Computer science","authors":[{"name":"Sheng Chao Zhuang","is_ca":true},{"name":"Tim J. Boonen","is_ca":false},{"name":"Ken Seng Tan","is_ca":true},{"name":"Zuo Quan Xu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02150184007105916,"gpt":0.2247220205833567,"spread":0.2032201805122976,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001519897,0.0001520821,0.0003701867,0.0002297261,0.0001367398,0.00007290451,0.0007171405,0.00008091584,0.0001661722],"category_scores_gemma":[0.0003085002,0.00009853904,0.0001510414,0.0003822926,0.00014976,0.0004929113,0.00004473664,0.0002544918,0.0001264389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009241484,"about_ca_system_score_gemma":0.00002823241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001152212,"about_ca_topic_score_gemma":0.00002294362,"domain_scores_codex":[0.9983433,0.00005615614,0.0008259435,0.0002516817,0.0001233856,0.000399571],"domain_scores_gemma":[0.9988523,0.0001207626,0.0005857527,0.0003415317,0.00004514424,0.00005453437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005519766,0.000250554,0.7457817,0.00003246585,0.00005354212,0.0001152695,0.002898712,0.0001795501,0.0003023318,0.2043158,0.002835877,0.04268228],"study_design_scores_gemma":[0.002360257,0.0002287679,0.9357082,0.0002242864,0.000003915557,0.00006148397,0.0001431973,0.00002887493,0.0001998806,0.03906471,0.02171106,0.0002653416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755881,0.0009609929,0.007616899,0.001916745,0.001433052,0.0002686379,0.00009892194,0.00000984305,0.01210676],"genre_scores_gemma":[0.9975877,0.001153638,0.0003663838,0.0001294417,0.0004338836,0.00001324933,6.604193e-7,0.00001352449,0.0003015472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1899266,"threshold_uncertainty_score":0.4018305,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2481372441","doi":"10.1080/03461238.2016.1167115","title":"Incorporating the Bühlmann credibility into mortality models to improve forecasting performances","year":2016,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Science and Technology, Taiwan","keywords":"Credibility; Mean absolute percentage error; Credibility theory; Econometrics; Statistics; Mathematics; Mean squared error","authors":[{"name":"Cary Chi‐Liang Tsai","is_ca":true},{"name":"Tzuling Lin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06515037095156873,"gpt":0.3179527386203707,"spread":0.252802367668802,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007209459,0.0002965086,0.0003570736,0.0002036916,0.003375317,0.0006878904,0.001124163,0.0001410208,0.0001402675],"category_scores_gemma":[0.0005548475,0.0001729123,0.0002880819,0.0006124412,0.0007257676,0.001589386,0.0002552871,0.0004705577,0.0000372906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005332721,"about_ca_system_score_gemma":0.0003277977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004319021,"about_ca_topic_score_gemma":0.006987447,"domain_scores_codex":[0.9958469,0.0006118864,0.0008126116,0.0004977838,0.001337126,0.0008937424],"domain_scores_gemma":[0.9977714,0.0002448832,0.0006235185,0.0005200838,0.0003703457,0.0004697664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005083025,0.0002822784,0.3988658,0.00006648951,0.0004471454,0.00007844292,0.04524559,0.0005998361,0.0008046743,0.03381635,0.00387531,0.5154098],"study_design_scores_gemma":[0.004766568,0.0008640979,0.3094642,0.0008520024,0.0004170048,0.00005240683,0.02690591,0.004393597,0.0005871147,0.6361668,0.01347116,0.002059064],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674716,0.00006029866,0.01003542,0.003641698,0.004033287,0.000866298,0.0000213024,0.00009573966,0.01377435],"genre_scores_gemma":[0.9941487,0.00008947714,0.001268256,0.0002950071,0.003890245,0.00004184483,0.000001391106,0.00002483517,0.0002402797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6023505,"threshold_uncertainty_score":0.9979222,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2060798282","doi":"10.1080/03461230600889652","title":"On the severity of ruin in a Markov-modulated risk model","year":2006,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Actua; Simon Fraser University","funders":"","keywords":"Risk model; Markov chain; Ruin theory; Mathematics; Econometrics; Markov model; Statistics; Applied mathematics; Computer science","authors":[{"name":"Yi Lu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04796937690373723,"gpt":0.3202033194368422,"spread":0.272233942533105,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00680658,0.0001750211,0.0003818838,0.0003107781,0.0003348574,0.00023617,0.0008665164,0.0001523809,0.000395883],"category_scores_gemma":[0.001905957,0.0000938611,0.0002243987,0.0007607367,0.0002219341,0.0003189071,0.00009484196,0.0008010138,0.0000372311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001385958,"about_ca_system_score_gemma":0.0002054511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008007387,"about_ca_topic_score_gemma":0.0007885344,"domain_scores_codex":[0.9961801,0.0007697463,0.001037796,0.000322714,0.001326538,0.0003631101],"domain_scores_gemma":[0.9974722,0.001070554,0.0005989507,0.0005354741,0.000214397,0.0001084513],"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":[0.006445324,0.001776579,0.2197348,0.00001292819,0.0001253313,0.0001383623,0.005122412,0.5494046,0.003214367,0.04057693,0.06386645,0.1095819],"study_design_scores_gemma":[0.0008988024,0.00009066582,0.08916681,0.00004217623,0.00001168827,0.00004179065,0.00008035448,0.1094152,0.0002910296,0.7997789,0.00005965452,0.0001228855],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874337,0.00003319975,0.008261816,0.001031204,0.0004159602,0.0002086958,0.00006921049,0.00001014696,0.002536063],"genre_scores_gemma":[0.9987266,0.00001953149,0.0006287899,0.00008683524,0.0001794269,0.000002584913,0.000001387518,0.000008964878,0.0003458979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.759202,"threshold_uncertainty_score":0.4334642,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2072692198","doi":"10.1080/03461238.2010.490017","title":"A generalized penalty function for a class of discrete renewal processes","year":2010,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":12,"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":"Renewal theory; Mathematics; Discrete time and continuous time; Class (philosophy); Risk model; Ruin theory; Geometric distribution; Function (biology); Applied mathematics; Distribution (mathematics); Generating function; Statistics; Combinatorics; Probability distribution; Mathematical analysis; Computer science","authors":[{"name":"Jae‐Kyung Woo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07367166685512397,"gpt":0.3723838173423039,"spread":0.2987121504871799,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00385745,0.0001838827,0.0004497992,0.0002707966,0.0004792887,0.0004388543,0.0007880157,0.0001963514,0.0005687177],"category_scores_gemma":[0.004953129,0.0001145445,0.0003228775,0.0005054727,0.0002340612,0.0006701218,0.00007535458,0.0004702975,0.00001585528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003931212,"about_ca_system_score_gemma":0.000603986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005143008,"about_ca_topic_score_gemma":0.0005287489,"domain_scores_codex":[0.9969627,0.0001693537,0.000988817,0.0003880931,0.001115246,0.0003758216],"domain_scores_gemma":[0.9967816,0.0006863797,0.0007686259,0.000422346,0.001054791,0.0002862162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.05124611,0.001920671,0.06234678,0.000437265,0.001253667,0.000054135,0.01292928,0.002658656,0.3246008,0.1335159,0.07113861,0.3378981],"study_design_scores_gemma":[0.00378273,0.0008292051,0.003170249,0.00005709654,0.0001453429,0.0002123379,0.0002104613,0.00156444,0.005865222,0.9637504,0.0201087,0.000303792],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8850427,0.0001189743,0.1060725,0.001805189,0.004937438,0.0005349516,0.0001044265,0.00002895492,0.001354924],"genre_scores_gemma":[0.9919308,0.00001948992,0.005726988,0.00008866706,0.001553545,0.00001701483,0.000006395102,0.00001446759,0.000642564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8302346,"threshold_uncertainty_score":0.622706,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1969112517","doi":"10.1080/03461238.2012.762548","title":"Recursions and fast Fourier transforms for a new bivariate aggregate claims model","year":2013,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":12,"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":"Bivariate analysis; Aggregate (composite); Joint probability distribution; Multivariate statistics; Fourier transform; Exponential function; Computation; Joint (building); Econometrics; Computer science; Mathematics; Applied mathematics; Algorithm; Statistics; Mathematical analysis","authors":[{"name":"Tao Jin","is_ca":true},{"name":"Jiandong Ren","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09720797216973082,"gpt":0.3554070106796491,"spread":0.2581990385099183,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002398032,0.0002852926,0.000505198,0.0003407268,0.0009390631,0.001496387,0.0007967909,0.0002472426,0.0006533282],"category_scores_gemma":[0.0007407492,0.0001751128,0.0003536875,0.0003670051,0.0002044101,0.001709844,0.00008525988,0.000526642,0.0001157528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009396863,"about_ca_system_score_gemma":0.0004387295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001424488,"about_ca_topic_score_gemma":0.00006747842,"domain_scores_codex":[0.9966775,0.0001353688,0.0009704475,0.0005487424,0.0009839989,0.0006839241],"domain_scores_gemma":[0.9973258,0.0004820538,0.0003782102,0.0004527639,0.0003845677,0.0009766542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009141992,0.0001544451,0.000712156,0.00001091007,0.0001186171,0.000009809345,0.007219176,0.002882362,0.001389513,0.01492581,0.05131027,0.9203527],"study_design_scores_gemma":[0.002370376,0.0002631562,0.0007047438,0.00006515399,0.00004732876,0.0001759622,0.0002832427,0.09923579,0.0001386189,0.8929911,0.003452275,0.0002722623],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2544707,0.0001980932,0.7272124,0.01404895,0.001510249,0.001028141,0.00007296827,0.00004352569,0.001415001],"genre_scores_gemma":[0.9510461,0.0002520679,0.04069766,0.0004724116,0.001181074,0.00003254367,0.000004819876,0.00003563895,0.006277693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9200805,"threshold_uncertainty_score":0.9995402,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2000387616","doi":"10.1080/03461238.2014.926977","title":"Bayesian and Bühlmann credibility for phase-type distributions with a univariate risk parameter","year":2014,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Univariate; Mathematics; Markov chain; Estimator; Uniformization (probability theory); Bayesian probability; Applied mathematics; Econometrics; Statistics; Credibility theory; Credibility; Markov model; Markov property; Multivariate statistics","authors":[{"name":"Amin Hassan Zadeh","is_ca":false},{"name":"David A. Stanford","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06577851167761314,"gpt":0.374555560525256,"spread":0.3087770488476428,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00634796,0.0002430843,0.0004880038,0.0001793168,0.001174451,0.000892773,0.0005727542,0.0001605141,0.0001706325],"category_scores_gemma":[0.006590995,0.0001461068,0.0001813577,0.0004579725,0.0004130486,0.0006426686,0.00008573827,0.000520285,0.00001534819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001012605,"about_ca_system_score_gemma":0.0002004945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007294865,"about_ca_topic_score_gemma":0.00008450366,"domain_scores_codex":[0.9967223,0.0006599794,0.000745601,0.0005998647,0.0007604603,0.000511782],"domain_scores_gemma":[0.9956077,0.002138001,0.0005384466,0.0006241258,0.0005658093,0.0005259122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0225208,0.002201274,0.1614164,0.00005286908,0.0006995204,0.00004412229,0.005335708,0.001803963,0.001007937,0.04637938,0.01595507,0.742583],"study_design_scores_gemma":[0.00702741,0.002777126,0.01804614,0.00005340523,0.0002000783,0.0002502639,0.0001940701,0.04465109,0.0001969469,0.9108967,0.01530832,0.0003984233],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3848816,0.00003216653,0.6129321,0.0008329598,0.0006142128,0.0003192993,0.0001764887,0.00002335089,0.0001877689],"genre_scores_gemma":[0.9874299,0.00002928784,0.01165565,0.00007158724,0.0006292872,0.000008464174,0.00001446665,0.00001449382,0.0001468984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8645173,"threshold_uncertainty_score":0.9033049,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2970863687","doi":"10.1080/03461238.2019.1659177","title":"Budget-constrained optimal retention with an upper limit on the retained loss","year":2019,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":9,"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":"Deductible; Limit (mathematics); Simple (philosophy); Actuarial science; Insurance policy; Event (particle physics); Constraint (computer-aided design); Order (exchange); Complement (music); Moral hazard; Economics; Econometrics; Mathematics; Microeconomics; Finance; Incentive","authors":[{"name":"Mario Ghossoub","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01841634175746815,"gpt":0.2044589967350051,"spread":0.186042654977537,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001070598,0.0002358152,0.0003722613,0.0002277779,0.0004024699,0.0003878209,0.0004287072,0.0001199234,0.001452537],"category_scores_gemma":[0.00005918776,0.0001707888,0.0001813437,0.0002469182,0.0001054659,0.0005257226,0.00003501798,0.0005370571,0.0009563168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001722801,"about_ca_system_score_gemma":0.00004291809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004264291,"about_ca_topic_score_gemma":0.000007532818,"domain_scores_codex":[0.9984044,0.00004595038,0.0005407375,0.000388791,0.0001357195,0.0004843393],"domain_scores_gemma":[0.9988499,0.00004005334,0.000499895,0.0004368726,0.00006199735,0.0001112373],"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":[0.002997532,0.0003525248,0.1135711,0.00002601654,0.0003200818,0.0001544088,0.001856956,0.0007076663,0.00007874775,0.8618352,0.001661966,0.01643788],"study_design_scores_gemma":[0.01764408,0.01250533,0.6890472,0.0006241989,0.0001515902,0.0006978068,0.003329916,0.005556435,0.0004442459,0.1246946,0.1424157,0.002888979],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594613,0.00007954903,0.00211501,0.002512296,0.001430797,0.0004488349,0.00004296313,0.00003001563,0.03387925],"genre_scores_gemma":[0.9964315,0.0001048196,0.0004175931,0.0005993692,0.0006551137,0.000009189939,0.00001438254,0.0000351475,0.00173294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7371406,"threshold_uncertainty_score":0.9998215,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2001985129","doi":"10.1080/03461238.2014.979227","title":"The moments of the time to ruin in dependent Sparre Andersen models with Coxian claim sizes","year":2014,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Class (philosophy); Mathematics; Applied mathematics; Ruin theory; Variance (accounting); Mathematical economics; Computer science; Risk model; Economics","authors":[{"name":"Wing Yan Lee","is_ca":true},{"name":"Gordon E. Willmot","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03963517476649855,"gpt":0.2984557839254431,"spread":0.2588206091589446,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005234417,0.0001848015,0.0003681476,0.0001660143,0.0006109265,0.0004918186,0.001640812,0.000100046,0.0002035164],"category_scores_gemma":[0.0006117886,0.00007731369,0.00014694,0.0005634426,0.0002527613,0.0004126876,0.0002266235,0.0004669229,0.0000891083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000146874,"about_ca_system_score_gemma":0.0002017569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006471917,"about_ca_topic_score_gemma":0.0007785602,"domain_scores_codex":[0.9959123,0.000729002,0.0007786445,0.0003310594,0.001803018,0.0004459967],"domain_scores_gemma":[0.9976807,0.0007354568,0.000427188,0.0006888798,0.0002177091,0.0002500161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01240158,0.001282015,0.09738453,0.00002714716,0.0004765889,0.00007272807,0.02424642,0.2727951,0.004915609,0.03098729,0.03110218,0.5243089],"study_design_scores_gemma":[0.004862474,0.0009562435,0.02778366,0.000350139,0.00006221316,0.0002585067,0.001893282,0.03345091,0.001431941,0.9166581,0.01173793,0.0005545866],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9397804,0.00007796432,0.02337997,0.02009842,0.001386182,0.0009935797,0.00002657068,0.00001858992,0.01423837],"genre_scores_gemma":[0.9974372,0.0000168533,0.0003142255,0.0002047033,0.0002002977,0.000005757899,3.277241e-7,0.00001142209,0.001809157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8856708,"threshold_uncertainty_score":0.4742618,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4283585289","doi":"10.1080/03461238.2022.2090272","title":"Actuarial-consistency and two-step actuarial valuations: a new paradigm to insurance valuation","year":2022,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","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":"Fonds Wetenschappelijk Onderzoek; AXA Research Fund","keywords":"Actuarial science; Valuation (finance); Actuarial Analysis; Consistency (knowledge bases); Economics; Finance; Mathematics; Medicine","authors":[{"name":"Karim Barigou","is_ca":false},{"name":"Daniël Linders","is_ca":false},{"name":"Fan Yang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03736060053931919,"gpt":0.3302822140286908,"spread":0.2929216134893716,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005768462,0.0004215676,0.0005788108,0.0007728355,0.005444485,0.001117388,0.0009115264,0.0001414102,0.001807319],"category_scores_gemma":[0.0008822976,0.0004517395,0.0003291625,0.001409499,0.0003228421,0.0009635157,0.000302564,0.0009206457,0.00007392664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009548473,"about_ca_system_score_gemma":0.001465805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006132886,"about_ca_topic_score_gemma":0.002964717,"domain_scores_codex":[0.9928526,0.001838143,0.00100848,0.0007332818,0.002528573,0.001038866],"domain_scores_gemma":[0.9973822,0.0003226863,0.0006815142,0.0005017608,0.0002276765,0.000884158],"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":[0.003784192,0.001101015,0.1299536,0.00005008848,0.001311253,0.0003004483,0.1144724,0.004446048,0.0006538208,0.2335484,0.06409033,0.4462884],"study_design_scores_gemma":[0.01769415,0.00185956,0.3672462,0.000209304,0.0009227156,0.0003475304,0.01722654,0.0005420517,0.00004940907,0.2463847,0.3450375,0.002480252],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.915082,0.0008741336,0.01451394,0.01866502,0.02240813,0.004241663,0.0001737261,0.0003218917,0.02371944],"genre_scores_gemma":[0.9901775,0.000278808,0.002393173,0.001057953,0.004993585,0.0001340902,0.00002600033,0.00005156194,0.0008873641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4438081,"threshold_uncertainty_score":0.9999195,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285088893","doi":"10.1080/03461238.2022.2089051","title":"Finite-time ruin probabilities using bivariate Laguerre series","year":2022,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Laguerre polynomials; Hermite polynomials; Applied mathematics; Bivariate analysis; Series (stratigraphy); Erlang (programming language); Exponential function; Poisson distribution; Ruin theory; Cumulant; Inverse Gaussian distribution; Distribution (mathematics); Mathematical analysis; Statistics; Risk model; Computer science","authors":[{"name":"Eric C.K. Cheung","is_ca":false},{"name":"Hayden Lau","is_ca":false},{"name":"Gordon E. Willmot","is_ca":true},{"name":"Jae‐Kyung Woo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1125451523937063,"gpt":0.3485766329276853,"spread":0.2360314805339789,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007534421,0.0003082486,0.0006038329,0.0005553639,0.002427351,0.001225937,0.001630049,0.0001176335,0.01090641],"category_scores_gemma":[0.002491049,0.0002339174,0.0004110928,0.001068312,0.0003259392,0.001455974,0.0007273579,0.001076752,0.0002774026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005168108,"about_ca_system_score_gemma":0.0006840268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001118668,"about_ca_topic_score_gemma":0.00002599091,"domain_scores_codex":[0.9934108,0.001506755,0.001258398,0.0006229703,0.00248245,0.0007186825],"domain_scores_gemma":[0.9970007,0.0009054478,0.0006904091,0.0007108051,0.0003292843,0.0003633603],"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":[0.01308132,0.002624691,0.04098643,0.00008737527,0.0008947453,0.001638431,0.07991584,0.6203418,0.02077762,0.05736404,0.06422204,0.09806564],"study_design_scores_gemma":[0.001759889,0.0008147588,0.001221932,0.00004560497,0.00007223433,0.002250747,0.004774031,0.01942821,0.0003441248,0.9365649,0.03204935,0.0006742631],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685534,0.0003456231,0.01252101,0.003899469,0.007329691,0.000740396,0.0003387333,0.0001380496,0.006133683],"genre_scores_gemma":[0.987702,0.00001577435,0.003804277,0.0002260702,0.001159453,0.00001045881,0.00000853017,0.00003380911,0.00703968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8792008,"threshold_uncertainty_score":0.9998109,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3145965401","doi":"10.1080/03461238.2021.1895299","title":"A law of uniform seniority for dependent lives","year":2021,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Annuity; Mathematics; Seniority; Econometrics; Closure (psychology); Extension (predicate logic); Bilinear interpolation; Marginal distribution; Life annuity; Mathematical economics; Actuarial science; Economics; Law; Statistics; Computer science; Random variable; Political science","authors":[{"name":"Christian Genest","is_ca":true},{"name":"Nikolai Kolev","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02364822011687466,"gpt":0.3191372361504004,"spread":0.2954890160335257,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001960721,0.0001498831,0.0003154387,0.0001196387,0.001000011,0.0002795073,0.0003726714,0.0001075329,0.0003467693],"category_scores_gemma":[0.0001908806,0.0001445131,0.0003495344,0.0003137395,0.0003533227,0.0003673922,0.00006908545,0.0002716097,0.000007875406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001831722,"about_ca_system_score_gemma":0.0003263868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001351736,"about_ca_topic_score_gemma":0.007085656,"domain_scores_codex":[0.9977209,0.0003336804,0.0004629929,0.0002316677,0.0007429838,0.0005077947],"domain_scores_gemma":[0.9986564,0.0001281795,0.0003312624,0.0002164499,0.0004293989,0.0002382931],"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":[0.0005760553,0.00096788,0.06768302,0.0001941519,0.0009549005,0.000441956,0.03375061,0.00005761651,0.001015678,0.8358278,0.003295937,0.05523434],"study_design_scores_gemma":[0.01485332,0.001277756,0.1786099,0.0008206714,0.001312287,0.0003875877,0.09773226,0.0001032365,0.01089363,0.3530899,0.3385549,0.002364561],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7475365,0.0007192424,0.008069251,0.002161293,0.01072217,0.001324489,0.0001992617,0.0001112365,0.2291566],"genre_scores_gemma":[0.9949787,0.0003969923,0.002174972,0.0001486097,0.001571295,0.000009434176,0.000007406732,0.00001509837,0.000697533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4827379,"threshold_uncertainty_score":0.7691375,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2162570338","doi":"10.1080/03461230903112190","title":"An effective method for constructing bounds for ruin probabilities for the surplus process perturbed by diffusion","year":2009,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ruin theory; Diffusion process; Diffusion; Process (computing); Mathematics; First-hitting-time model; Applied mathematics; Mathematical optimization; Computer science; Risk model; Statistics; Innovation diffusion; Physics","authors":[{"name":"Cary Chi‐Liang Tsai","is_ca":true},{"name":"Yi Lu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0501862155752258,"gpt":0.4279224919915478,"spread":0.377736276416322,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01138274,0.0003332749,0.0006565739,0.0001740534,0.002417717,0.001588165,0.001219307,0.0002394937,0.00003684895],"category_scores_gemma":[0.008628272,0.0001823195,0.0005510366,0.0003069918,0.0002927659,0.0009836386,0.00003441349,0.0003867809,0.000001137756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002297771,"about_ca_system_score_gemma":0.0003139096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002354123,"about_ca_topic_score_gemma":0.00004093103,"domain_scores_codex":[0.9961343,0.0005362954,0.001002783,0.0007098396,0.000887171,0.0007296226],"domain_scores_gemma":[0.9870453,0.01029999,0.0007011851,0.0004798962,0.001179813,0.0002938512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.007708734,0.0003897507,0.0008707444,0.00006088064,0.0001167264,0.000001107619,0.01129335,0.0007804954,0.007616851,0.00830552,0.005867803,0.956988],"study_design_scores_gemma":[0.005076209,0.002987944,0.0006347937,0.00007859198,0.0001428434,0.0001601446,0.005811971,0.04674317,0.004099934,0.9285799,0.005284685,0.000399863],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.16875,0.0002192857,0.8212187,0.003179375,0.001841119,0.004383627,0.0002867279,0.00004277617,0.00007846953],"genre_scores_gemma":[0.9447239,0.0000121651,0.05232078,0.0003843356,0.001819663,0.0004131273,0.00001907555,0.00002830755,0.0002786614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9565881,"threshold_uncertainty_score":0.9997225,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2512566449","doi":"10.1080/03461238.2016.1225265","title":"Analysis of IBNR claims in renewal insurance models","year":2016,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Society of Actuaries","keywords":"Renewal theory; Actuarial science; Compound Poisson process; Poisson distribution; Poisson process; Econometrics; Economics; Mathematics; Business; Statistics","authors":[{"name":"David Landriault","is_ca":true},{"name":"Gordon E. Willmot","is_ca":true},{"name":"Di Xu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1162968059893386,"gpt":0.3702390458233169,"spread":0.2539422398339782,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005097997,0.0001722575,0.0007935793,0.001466573,0.000148312,0.000166523,0.001133886,0.0001728402,0.0005754203],"category_scores_gemma":[0.0008599593,0.00009542575,0.000505528,0.002429208,0.0002564849,0.001063471,0.0001144537,0.0002741673,0.00003015594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001819697,"about_ca_system_score_gemma":0.0002190454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001362315,"about_ca_topic_score_gemma":0.0006362571,"domain_scores_codex":[0.995606,0.0004962173,0.001490088,0.0004517526,0.001528953,0.0004269867],"domain_scores_gemma":[0.9971864,0.0008996128,0.000672403,0.0006282239,0.0003593651,0.0002539575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001661354,0.0003779323,0.6429422,0.000004401125,0.0005761751,0.000072455,0.003150418,0.02417411,0.004057511,0.0113079,0.0006046506,0.3110709],"study_design_scores_gemma":[0.001617509,0.0001227533,0.1720793,0.00008527085,0.0001018664,0.00002865382,0.0001193545,0.00481138,0.0003980177,0.8203202,0.0001171113,0.0001986116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9280213,0.0001039995,0.06838351,0.001022333,0.0007074071,0.0001049862,0.00007726694,0.00001057617,0.001568585],"genre_scores_gemma":[0.9987039,0.000155204,0.0005723172,0.0000491226,0.0001948961,0.000002430488,9.204375e-7,0.000008236395,0.0003129824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8090123,"threshold_uncertainty_score":0.6300449,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3180712247","doi":"10.1080/03461238.2021.1944905","title":"A multivariate CVaR risk measure from the perspective of portfolio risk management","year":2021,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Dynamic risk measure; Subadditivity; CVAR; Risk measure; Spectral risk measure; Expected shortfall; Coherent risk measure; Time consistency; Multivariate statistics; Econometrics; Portfolio; Value at risk; Risk management; Measure (data warehouse); Portfolio optimization; Downside risk; Actuarial science; Mathematics; Copula (linguistics); Economics; Computer science; Statistics; Financial economics; Finance; Data mining","authors":[{"name":"Jun Cai","is_ca":true},{"name":"Huameng Jia","is_ca":true},{"name":"Tiantian Mao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03735201553021493,"gpt":0.3344961316321783,"spread":0.2971441161019633,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003945059,0.000240589,0.0004592903,0.0002282022,0.0007837719,0.0006411238,0.0009136194,0.0001333186,0.002192007],"category_scores_gemma":[0.003264635,0.0001443244,0.0004384469,0.001128604,0.0001456556,0.0004253604,0.0001893601,0.0007245356,0.0001086753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000156056,"about_ca_system_score_gemma":0.0002510652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001626661,"about_ca_topic_score_gemma":0.0001752709,"domain_scores_codex":[0.9946963,0.001386188,0.001026127,0.0005228835,0.002011989,0.0003565448],"domain_scores_gemma":[0.9951969,0.0008854747,0.001618356,0.0007991823,0.001266993,0.0002330702],"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":[0.002243687,0.0006618456,0.4099541,0.000002644072,0.002479328,0.0009823003,0.02253616,0.01153723,0.0003419728,0.01686934,0.060396,0.4719954],"study_design_scores_gemma":[0.004917728,0.0001879878,0.5321322,0.0001387346,0.0009008172,0.0002445093,0.02571862,0.002165689,0.0007318707,0.4103764,0.02198453,0.0005009462],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5461447,0.005600377,0.3140217,0.003900485,0.01303194,0.00125697,0.001378187,0.00009952812,0.1145661],"genre_scores_gemma":[0.9853595,0.004641457,0.00769424,0.00009956535,0.001211622,0.000003864401,0.00001068499,0.00002283746,0.0009561973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4714945,"threshold_uncertainty_score":0.9987201,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2026969031","doi":"10.1080/03461238.2014.977817","title":"Cramér–Von Mises distance estimation for some positive infinitely divisible parametric families with actuarial applications","year":2014,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Actua; Université Laval","funders":"","keywords":"Estimator; Mathematics; Poisson distribution; Compound Poisson distribution; Applied mathematics; Inference; Point process; Exponential family; Parametric statistics; Range (aeronautics); Econometrics; Statistics; Poisson regression; Computer science","authors":[{"name":"Andrew Luong","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02150607933433727,"gpt":0.2393480664101031,"spread":0.2178419870757659,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008098175,0.0002906452,0.0005742118,0.000520845,0.0008126762,0.0004945868,0.0003365995,0.0001548525,0.00004367071],"category_scores_gemma":[0.0005746566,0.0002829747,0.0002038865,0.0005079858,0.0001271663,0.0008813761,0.00003582014,0.0003748258,0.00006329111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002319394,"about_ca_system_score_gemma":0.00008551285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001844187,"about_ca_topic_score_gemma":0.00003192655,"domain_scores_codex":[0.9980094,0.00003504689,0.0008330531,0.0004770595,0.0001275367,0.0005179188],"domain_scores_gemma":[0.9982159,0.0003899882,0.0007355312,0.000312189,0.0001404476,0.0002059648],"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":[0.002644013,0.000594544,0.0596293,0.0001613114,0.000307087,0.000005672311,0.002040568,0.01299988,0.00005979737,0.6977021,0.001033839,0.2228218],"study_design_scores_gemma":[0.008355347,0.002106116,0.06972554,0.0002950612,0.0001607923,0.00006132453,0.0002950833,0.1581087,0.000398509,0.7163029,0.04262782,0.001562836],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1368129,0.0003396119,0.8591844,0.0003525264,0.0007052268,0.0007012715,0.000300477,0.00004906061,0.001554546],"genre_scores_gemma":[0.9841105,0.0001959749,0.01380165,0.0001312817,0.00141344,0.0001092988,0.00008182228,0.00004483146,0.0001111763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8472977,"threshold_uncertainty_score":0.9999623,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2014984078","doi":"10.1080/03461238.2011.602196","title":"Fitting bivariate losses with phase-type distributions","year":2011,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Western University","funders":"","keywords":"Bivariate analysis; Mathematics; Statistics; Econometrics; Type (biology); Statistical physics; Applied mathematics; Physics; Geology","authors":[{"name":"Amin Hassan Zadeh","is_ca":true},{"name":"Martin Bilodeau","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1490562211599603,"gpt":0.3816928890586383,"spread":0.232636667898678,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000274351,0.0001756342,0.0002174245,0.00007715172,0.0006224806,0.0001459576,0.0002159311,0.0000736271,0.003197619],"category_scores_gemma":[0.0007589977,0.0001339108,0.00007044103,0.0003543195,0.0001242058,0.0002105322,0.00002706584,0.0003304553,0.0001249029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001112382,"about_ca_system_score_gemma":0.0001315506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001947696,"about_ca_topic_score_gemma":0.000003954746,"domain_scores_codex":[0.9987051,0.00006947613,0.0004294557,0.0001824289,0.0002741205,0.0003394208],"domain_scores_gemma":[0.9986684,0.0002200166,0.0002927343,0.0002149515,0.0003038862,0.0003000214],"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":[0.0002724912,0.0005834984,0.0006525372,0.0000140128,0.00009648375,0.00004003108,0.0003952248,8.826152e-7,0.0002734811,0.9879344,0.00550693,0.004230101],"study_design_scores_gemma":[0.006473994,0.00104336,0.02281448,0.000272549,0.000486452,0.00127902,0.0004786786,0.000783274,0.003179085,0.9576694,0.004778383,0.0007412784],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04090456,0.00000944386,0.9498253,0.0003038431,0.0003227473,0.0002139491,0.0002759619,0.0001158776,0.008028291],"genre_scores_gemma":[0.9579314,0.000007455779,0.0414542,0.00004507303,0.0002867142,0.00001185574,0.00007829937,0.00002018086,0.0001648347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9170268,"threshold_uncertainty_score":0.9977136,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2935594703","doi":"10.1080/03461238.2019.1598482","title":"Multivariate Cox Hidden Markov models with an application to operational risk","year":2019,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Society of Actuaries","keywords":"Multivariate statistics; Computer science; Aggregate (composite); Econometrics; Flexibility (engineering); Expectation–maximization algorithm; Statistics; Mathematics; Machine learning; Maximum likelihood","authors":[{"name":"Tsz Chai Fung","is_ca":true},{"name":"Andrei L. Badescu","is_ca":true},{"name":"X. Sheldon Lin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0190263914356727,"gpt":0.2341132673792152,"spread":0.2150868759435425,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008902291,0.0002021343,0.000375421,0.0002430374,0.0003505144,0.0003179595,0.0003246678,0.0001299029,0.000399897],"category_scores_gemma":[0.0000527196,0.00019435,0.00009031316,0.0002209402,0.00002479732,0.0009554238,0.00004317761,0.0004168893,0.000504244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002097663,"about_ca_system_score_gemma":0.00008230142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001301947,"about_ca_topic_score_gemma":0.0001029693,"domain_scores_codex":[0.9983994,0.00004196944,0.000606227,0.0004698266,0.0001167486,0.0003657849],"domain_scores_gemma":[0.9988385,0.00003340133,0.0003837461,0.0003474767,0.0001103988,0.0002864475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005245407,0.0006885982,0.4980795,0.00003763306,0.0003127912,0.00001817581,0.00812148,0.08188668,0.0006746884,0.287748,0.0009366986,0.1162504],"study_design_scores_gemma":[0.004583669,0.001264828,0.1344975,0.00008063391,0.00003329963,0.00007707692,0.0002297871,0.6835724,0.00006319034,0.1696744,0.004976663,0.0009465574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6456527,0.00006662566,0.3500383,0.0002623414,0.0004949018,0.0004090659,0.0001399151,0.00002482123,0.00291137],"genre_scores_gemma":[0.9738241,0.00004221421,0.02485401,0.0001930664,0.0007092149,0.00001927214,0.00003317146,0.00003569933,0.0002892428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6016857,"threshold_uncertainty_score":0.7925362,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2064459221","doi":"10.1080/03461230701862889","title":"Modelling long-term investment returns via Bayesian infinite mixture time series models","year":2008,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Bayesian probability; Econometrics; Outlier; Bayesian average; Quantile; Bayesian econometrics; Series (stratigraphy); Variable-order Bayesian network; Computer science; Autoregressive model; Mathematics; Bayesian inference; Statistics","authors":[{"name":"John W. Lau","is_ca":false},{"name":"Tak Kuen Siu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02481877631996234,"gpt":0.2441563983318956,"spread":0.2193376220119332,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008069008,0.000554257,0.0006455788,0.0003902863,0.001031616,0.0006136305,0.001506337,0.000351361,0.0001288853],"category_scores_gemma":[0.00002423355,0.0004693114,0.0003719183,0.0005320644,0.0001956636,0.002768678,0.0002901262,0.001132152,0.00005724882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002373535,"about_ca_system_score_gemma":0.0003646545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002318363,"about_ca_topic_score_gemma":0.000003746043,"domain_scores_codex":[0.996301,0.0004175332,0.0007993376,0.0006899253,0.0008312261,0.000960974],"domain_scores_gemma":[0.9975603,0.00008054328,0.0004493752,0.0008560375,0.0002203394,0.0008334528],"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":[0.003463107,0.002747877,0.006664031,0.0004519513,0.003119269,0.02767505,0.09800481,0.2106814,0.01527013,0.3283181,0.04446094,0.2591434],"study_design_scores_gemma":[0.002361364,0.0005668108,0.0004163356,0.0003335113,0.00009408055,0.0168146,0.00001248148,0.5764312,0.001472773,0.3996243,0.0005253556,0.001347205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006829754,0.0004251051,0.9855783,0.001095252,0.001465529,0.0002862621,0.000008874398,0.0001766023,0.004134341],"genre_scores_gemma":[0.3626854,0.0004853463,0.6322708,0.001258785,0.001724172,0.00001211598,0.00001244119,0.0000644714,0.001486594],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3657498,"threshold_uncertainty_score":0.9997759,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386561824","doi":"10.1080/03461238.2023.2255399","title":"Stackelberg reinsurance chain under model ambiguity","year":2023,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinsurance; Stackelberg competition; Ambiguity; Variance (accounting); Differential game; Economics; Order (exchange); Microeconomics; Mathematical economics; Computer science; Actuarial science; Mathematics; Finance; Mathematical optimization; Accounting","authors":[{"name":"Jingyi Cao","is_ca":true},{"name":"Dongchen Li","is_ca":true},{"name":"Virginia R. Young","is_ca":false},{"name":"Bin Zou","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2156385677063829,"gpt":0.4198884015692197,"spread":0.2042498338628368,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007933214,0.0002658121,0.0004937904,0.0005253969,0.0009724999,0.0009270356,0.00147198,0.0002198209,0.0006689447],"category_scores_gemma":[0.001882259,0.0001858408,0.0003711866,0.001537931,0.0002576992,0.0009526046,0.0002607159,0.0008000756,0.001252589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002271255,"about_ca_system_score_gemma":0.0004018636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005113475,"about_ca_topic_score_gemma":0.00009537408,"domain_scores_codex":[0.9947228,0.0004741236,0.001063105,0.000624513,0.002312669,0.0008028261],"domain_scores_gemma":[0.9972549,0.0005811253,0.0004377731,0.000798162,0.0004036827,0.0005243577],"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":[0.001670452,0.0003999358,0.01005843,0.00002001151,0.0001990853,0.0003615393,0.006552522,0.5059146,0.002792933,0.05942023,0.1672749,0.2453354],"study_design_scores_gemma":[0.001100247,0.00009349427,0.01762618,0.00002909048,0.00001438749,0.0001139052,0.0003490117,0.1066151,0.0001402276,0.8717017,0.001923908,0.0002926949],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7812983,0.0001194126,0.1963736,0.009372246,0.004396569,0.0003544894,0.0001060056,0.0002406899,0.007738707],"genre_scores_gemma":[0.9921309,0.0001484016,0.0007959479,0.0004199712,0.0008845782,0.000006035602,0.000005126467,0.0000252363,0.005583855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8122815,"threshold_uncertainty_score":0.9995251,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4284971611","doi":"10.1080/03461238.2022.2094718","title":"An impossibility theorem on capital allocation","year":2022,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Impossibility; Subadditivity; Capital allocation line; Capital (architecture); Mathematical economics; Economics; Mathematics; Portfolio; Econometrics; Microeconomics; Financial economics; Discrete mathematics","authors":[{"name":"Yuanying Guan","is_ca":false},{"name":"Andreas Tsanakas","is_ca":false},{"name":"Ruodu Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04690673641974973,"gpt":0.3698763647456382,"spread":0.3229696283258885,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005756386,0.0001601544,0.0002281712,0.0003982368,0.001494722,0.0008055227,0.0009816547,0.00005993673,0.004602822],"category_scores_gemma":[0.0005617977,0.0001193033,0.0001674472,0.0006370255,0.00008314083,0.0007189243,0.00008431777,0.0005807044,0.0001116925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002846928,"about_ca_system_score_gemma":0.0002404491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005491226,"about_ca_topic_score_gemma":0.00001614383,"domain_scores_codex":[0.9955541,0.0009864192,0.0007123607,0.0004276834,0.002003907,0.000315476],"domain_scores_gemma":[0.9980825,0.0002534563,0.0005201434,0.0006031907,0.0002282877,0.0003124349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004644422,0.001602995,0.1296425,0.000001543527,0.00009400091,0.0002273389,0.01949999,0.09383118,0.002558031,0.04108415,0.03199828,0.6748155],"study_design_scores_gemma":[0.004899926,0.006055692,0.2767797,0.00001740052,0.00007887378,0.001666232,0.01468303,0.02010791,0.001200044,0.6421838,0.03122805,0.001099292],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834825,0.00002763989,0.007157544,0.0007886352,0.003434167,0.0001936062,0.00003879119,0.00003612873,0.004840974],"genre_scores_gemma":[0.9976995,0.00002777986,0.0004193122,0.0002883875,0.0009726088,0.000008250896,0.00002666901,0.00001573761,0.0005417636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6737162,"threshold_uncertainty_score":0.9998052,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402516408","doi":"10.1080/03461238.2024.2401390","title":"Collective risk models with FGM dependence","year":2024,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Econometrics; Mathematics; Computer science; Risk analysis (engineering); Statistical physics; Business; Physics","authors":[{"name":"Christopher Blier-Wong","is_ca":true},{"name":"Hélène Cossette","is_ca":true},{"name":"Étienne Marceau","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08834064501391675,"gpt":0.3512460099270778,"spread":0.262905364913161,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00472233,0.0002648402,0.0004095196,0.0005105278,0.0009218359,0.00260039,0.001037994,0.0001678568,0.0008213829],"category_scores_gemma":[0.0008503256,0.0001493343,0.0002633544,0.001340914,0.0002728401,0.001973741,0.0001211717,0.001202358,0.0003473769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005614978,"about_ca_system_score_gemma":0.001868629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001269656,"about_ca_topic_score_gemma":0.0002090688,"domain_scores_codex":[0.9953546,0.0005372535,0.0007161903,0.000699191,0.002154337,0.0005384297],"domain_scores_gemma":[0.9972009,0.001170899,0.0002735801,0.0004889584,0.0004304805,0.0004351952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.007141305,0.0006372527,0.02353091,0.00004509844,0.001288585,0.003499183,0.05685448,0.1234124,0.0005089241,0.08383659,0.05666754,0.6425778],"study_design_scores_gemma":[0.000749547,0.0004512404,0.001602609,0.0001561795,0.00008142072,0.001367178,0.0005692082,0.05411527,0.0001616728,0.9381368,0.002311814,0.0002971022],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2454517,0.001373278,0.7228556,0.001518738,0.003823049,0.0004729807,0.0001134599,0.000149816,0.02424142],"genre_scores_gemma":[0.9909201,0.0001446381,0.003756628,0.00007330635,0.000850837,0.000008572467,9.51805e-7,0.00002385952,0.004221095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8543001,"threshold_uncertainty_score":0.998435,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3171139534","doi":"10.1080/03461238.2021.1938198","title":"Tail index-linked annuity: A longevity risk sharing retirement plan","year":2021,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Solvency; Life annuity; Longevity risk; Longevity; Actuarial science; Index (typography); Economics; Business; Pension; Finance; Medicine; Gerontology; Market liquidity; Computer science","authors":[{"name":"An Chen","is_ca":false},{"name":"Hong Li","is_ca":true},{"name":"Mark Schultze","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03233782542869804,"gpt":0.3066045907178497,"spread":0.2742667652891516,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003637592,0.0003169557,0.0004687612,0.0002791173,0.002512083,0.001264585,0.0008527443,0.000248003,0.001576804],"category_scores_gemma":[0.0005478318,0.0003204625,0.0003795219,0.0008141279,0.000375716,0.0006470914,0.0002909016,0.001157273,0.00008468061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006634137,"about_ca_system_score_gemma":0.0004448995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002884258,"about_ca_topic_score_gemma":0.007656574,"domain_scores_codex":[0.9952036,0.0008217098,0.0007094978,0.0006097569,0.001616515,0.001038915],"domain_scores_gemma":[0.9978287,0.0000905554,0.0006117569,0.0005251053,0.0003660029,0.0005779142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001753169,0.000228101,0.9548174,0.00002219962,0.0003211553,0.0006629225,0.007664341,0.00004556022,0.00004044073,0.004822146,0.003904992,0.02729539],"study_design_scores_gemma":[0.002740631,0.0001441657,0.9046937,0.0002589304,0.0003023246,0.00006477552,0.007905935,0.00009551597,0.000078465,0.02716892,0.05574723,0.0007994135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9549328,0.0003983555,0.001087361,0.00168311,0.005480414,0.000496722,0.00005781599,0.0001436849,0.03571972],"genre_scores_gemma":[0.9932914,0.001515547,0.0003891331,0.000306769,0.003264891,0.00001334174,0.00001513648,0.00003291783,0.001170877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05184224,"threshold_uncertainty_score":0.9999247,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401443092","doi":"10.1080/03461238.2024.2389181","title":"The optimal reinsurance strategy with price-competition between two reinsurers","year":2024,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinsurance; Competition (biology); Mathematical economics; Computer science; Econometrics; Economics; Mathematics; Mathematical optimization; Actuarial science","authors":[{"name":"Liyuan Lin","is_ca":false},{"name":"Fangda Liu","is_ca":true},{"name":"Jingzhen Liu","is_ca":false},{"name":"Luyang Yu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01913083065666653,"gpt":0.2357398963209218,"spread":0.2166090656642553,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001282115,0.0002470435,0.0003612867,0.0002272829,0.0008537229,0.001310527,0.0004317944,0.00009008362,0.0001843047],"category_scores_gemma":[0.00004175999,0.0001835124,0.0001820489,0.0004814228,0.000152519,0.000643025,0.00003943679,0.0007088429,0.0004728678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002784255,"about_ca_system_score_gemma":0.00008922657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001118208,"about_ca_topic_score_gemma":0.0000288383,"domain_scores_codex":[0.9981143,0.00003792638,0.0007016683,0.0004000444,0.0001519737,0.0005940128],"domain_scores_gemma":[0.9990823,0.00009413857,0.000329897,0.0002883272,0.0000567597,0.0001485445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004793977,0.00005662437,0.03396246,0.00006053445,0.0005273038,0.0003663067,0.000874733,0.001488791,0.00002112384,0.878826,0.0041516,0.07918515],"study_design_scores_gemma":[0.00395273,0.001493888,0.273107,0.0006702301,0.0001066377,0.0003710125,0.0004903297,0.001465432,0.0001199878,0.1415235,0.5753464,0.001352865],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7395299,0.01188981,0.09574952,0.005318344,0.008518186,0.001058483,0.0003197089,0.0002807954,0.1373352],"genre_scores_gemma":[0.9943172,0.001296739,0.0003750343,0.00006242692,0.002522517,0.00001662474,0.00001253388,0.00004366868,0.001353199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7373024,"threshold_uncertainty_score":0.9997262,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406855546","doi":"10.1080/03461238.2025.2455056","title":"Optimal income drawdown and investment with longevity basis risk","year":2025,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","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":false},"ca_institutions":"Western University","funders":"Kempestiftelserna","keywords":"Drawdown (hydrology); Longevity risk; Investment (military); Economics; Actuarial science; Longevity; Econometrics; Mathematics; Finance; Geology; Medicine; Pension; Political science","authors":[{"name":"Ankush Agarwal","is_ca":true},{"name":"Christian‐Oliver Ewald","is_ca":false},{"name":"Yongjie Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006204589496422858,"gpt":0.2710748910923721,"spread":0.2648703015959493,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002069502,0.0002493464,0.0003515386,0.0004032752,0.002056864,0.0007578179,0.0004241471,0.000136084,0.0002178209],"category_scores_gemma":[0.000152067,0.0002034239,0.0001385771,0.0006819644,0.0008152547,0.000493209,0.0001261671,0.0005986254,0.00001297279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003363447,"about_ca_system_score_gemma":0.0003089398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00301331,"about_ca_topic_score_gemma":0.00289546,"domain_scores_codex":[0.9973122,0.0005823505,0.0003928189,0.000364955,0.0007341878,0.0006134629],"domain_scores_gemma":[0.9987991,0.0001101203,0.0003206149,0.0002673774,0.0001415032,0.0003612101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003805687,0.0001466341,0.9451713,0.00002785811,0.0004536796,0.0001078402,0.00455944,0.00008323752,0.000006230437,0.02279794,0.002418692,0.02384656],"study_design_scores_gemma":[0.002466681,0.000274689,0.9483249,0.0002353014,0.0003780419,0.00002349647,0.003022659,0.00004141429,0.0000347846,0.01195695,0.03281426,0.0004268262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9511136,0.0003475733,0.001738768,0.001555415,0.001493647,0.000538493,0.00002144369,0.00007077472,0.04312028],"genre_scores_gemma":[0.9949089,0.0009822195,0.002225119,0.0004353836,0.0006593571,0.00001602024,0.000002278415,0.00001500201,0.0007556629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04379535,"threshold_uncertainty_score":0.9992423,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2948406693","doi":"10.1080/03461238.2019.1624274","title":"Concordance-based predictive measures in regression models for discrete responses","year":2019,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Context (archaeology); Statistics; Concordance; Econometrics; Bounded function; Portfolio; Variable (mathematics); Regression; Linear regression; Interval (graph theory); Economics; Combinatorics","authors":[{"name":"Michel Denuit","is_ca":false},{"name":"Mhamed Mesfioui","is_ca":true},{"name":"Julien Trufin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1050538781036844,"gpt":0.3829930693947928,"spread":0.2779391912911084,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007209479,0.0002647369,0.0006125059,0.0005641979,0.0003498922,0.0005164216,0.001006399,0.0002174403,0.000182649],"category_scores_gemma":[0.002936482,0.0001625581,0.0003582095,0.0004946609,0.0001917496,0.00121167,0.0000863079,0.0005717226,0.00004550114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003104159,"about_ca_system_score_gemma":0.0008339034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005080262,"about_ca_topic_score_gemma":0.00006482943,"domain_scores_codex":[0.9952647,0.0008530304,0.001067447,0.0006249399,0.001627467,0.0005624096],"domain_scores_gemma":[0.9957471,0.00229359,0.0005782224,0.000587585,0.0004989419,0.0002945898],"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":[0.1256556,0.0009503174,0.2344723,0.00008368042,0.0002270579,0.0001718329,0.01227315,0.377474,0.007845106,0.01356516,0.01965244,0.2076293],"study_design_scores_gemma":[0.008284928,0.001406435,0.01371996,0.0006244765,0.00003263125,0.00006702601,0.001002346,0.1944882,0.001633223,0.7747849,0.003516199,0.0004397449],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6462071,0.0003343438,0.3451984,0.0020604,0.002920447,0.001197642,0.0001554602,0.00003819252,0.001888021],"genre_scores_gemma":[0.9956458,0.0000359832,0.002638888,0.0001695765,0.0004198263,0.00002829525,0.000004437629,0.00002094326,0.00103629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7612197,"threshold_uncertainty_score":0.6628926,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2051629980","doi":"10.1080/03461231003603054","title":"On a multi-threshold compound Poisson surplus process with interest","year":2010,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Probability and Risk Models","field":"Decision 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":"Western University","funders":"","keywords":"Poisson distribution; Mathematics; Ordinary differential equation; Compound Poisson process; Function (biology); Applied mathematics; Differential (mechanical device); Zero (linguistics); Interest rate; Poisson process; Differential equation; Mathematical analysis; Economics; Statistics; Physics; Finance","authors":[{"name":"Ilie-Radu Mitric","is_ca":true},{"name":"Kristina P. Sendova","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1226426350201619,"gpt":0.3908506351190607,"spread":0.2682080000988988,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003187515,0.0003086687,0.0004794477,0.0004001191,0.0007296766,0.001341948,0.001477404,0.0002204077,0.0009175158],"category_scores_gemma":[0.001314872,0.0001753074,0.0001893315,0.0005303388,0.0004081792,0.0007962827,0.00009350267,0.001830938,0.0002677164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009373121,"about_ca_system_score_gemma":0.0003264476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004394758,"about_ca_topic_score_gemma":0.001357985,"domain_scores_codex":[0.9963307,0.0001788498,0.0007725153,0.0005994613,0.001550163,0.0005683296],"domain_scores_gemma":[0.9971611,0.0005527412,0.0005079992,0.0006768744,0.0005276816,0.000573555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.04497703,0.01096456,0.4422925,0.0001201714,0.001026426,0.004672496,0.03781488,0.009527311,0.03205363,0.1025242,0.04542036,0.2686064],"study_design_scores_gemma":[0.01929163,0.004596037,0.09741905,0.0006691415,0.0001482183,0.007508196,0.002108023,0.01331326,0.005757365,0.8385089,0.00855484,0.002125369],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864029,0.00001608399,0.006678248,0.001609406,0.002960528,0.0002890907,0.00001991294,0.00004339656,0.001980393],"genre_scores_gemma":[0.9971391,0.000004211811,0.001164686,0.0002506966,0.000839717,0.000006276205,0.000002533319,0.00002504331,0.000567766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7359847,"threshold_uncertainty_score":0.9999958,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2111084506","doi":"10.1080/03461231003611958","title":"The proper distribution function of the deficit in the delayed renewal risk model","year":2010,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ruin theory; Mathematics; Risk model; First-hitting-time model; Renewal theory; Function (biology); Distribution (mathematics); Econometrics; Applied mathematics; Mathematical economics; Statistics; Mathematical analysis","authors":[{"name":"So-Yeun Kim","is_ca":false},{"name":"Gordon E. Willmot","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03938078812669009,"gpt":0.3115217840909251,"spread":0.272140995964235,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01051053,0.0001410637,0.0001897215,0.00005857323,0.001482124,0.0005525255,0.001651113,0.0001556028,0.00004478367],"category_scores_gemma":[0.003061406,0.00004813487,0.0002621311,0.0005841473,0.000503174,0.00034584,0.000123034,0.001359823,0.00001519357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006993058,"about_ca_system_score_gemma":0.0002931177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001805753,"about_ca_topic_score_gemma":0.001760326,"domain_scores_codex":[0.996262,0.0008906107,0.0008113252,0.0002432472,0.001466209,0.0003266105],"domain_scores_gemma":[0.9974219,0.0007827515,0.0006329032,0.0007659636,0.000318292,0.00007820332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01080637,0.001280808,0.189095,0.00001075409,0.0002519002,0.0000163981,0.01886045,0.09983522,0.01496366,0.1800548,0.02671281,0.4581119],"study_design_scores_gemma":[0.001099349,0.00019128,0.08003991,0.00002222867,0.00007293273,0.0001182208,0.0009856098,0.04417938,0.000278512,0.8709397,0.001917631,0.0001551849],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600311,0.00005177476,0.03426549,0.002500076,0.002090422,0.0003304599,0.00006109612,0.000006239223,0.0006633759],"genre_scores_gemma":[0.9992593,0.00004028454,0.0001105227,0.0000612184,0.0003854627,0.000007841205,0.000001909496,0.000006004575,0.0001274903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6908849,"threshold_uncertainty_score":0.9998178,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3165866958","doi":"10.1080/03461238.2021.1930136","title":"An actuarial model of arrhythmogenic right ventricular cardiomyopathy and life insurance","year":2021,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Cardiovascular Effects of Exercise","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Underwriting; Life insurance; Actuarial science; Medical underwriting; Genetic testing; Life annuity; Insurance policy; Economics; Business; General insurance; Medicine; Internal medicine; Finance","authors":[{"name":"Oytun Haçarız","is_ca":false},{"name":"Torsten Kleinow","is_ca":false},{"name":"Angus S. Macdonald","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00923694169572165,"gpt":0.245498003233548,"spread":0.2362610615378263,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008098139,0.0003085125,0.001076716,0.0002367463,0.0002081442,0.000133496,0.0001590193,0.0002367721,0.0001282739],"category_scores_gemma":[0.000481504,0.0002701028,0.0007889014,0.00032749,0.0001493488,0.0003591168,0.00007666749,0.000625171,0.000008082641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001485795,"about_ca_system_score_gemma":0.000766277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002315467,"about_ca_topic_score_gemma":0.00000355321,"domain_scores_codex":[0.9974338,0.000257566,0.0005746964,0.0004387111,0.0008362592,0.0004589681],"domain_scores_gemma":[0.9977453,0.00006310701,0.0002517815,0.0006652034,0.0004174995,0.0008570821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.027656,0.003779322,0.1598063,0.001850578,0.01469276,0.09480301,0.005376546,0.02143116,0.5019964,0.001788389,0.006150695,0.1606688],"study_design_scores_gemma":[0.1120531,0.005702551,0.4109466,0.004276904,0.01288595,0.1933196,0.001210714,0.02326823,0.2186453,0.008550276,0.005005114,0.004135645],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887694,0.003774719,0.00509964,0.0002559856,0.001238013,0.0003445505,0.00005079583,0.00003386,0.0004331115],"genre_scores_gemma":[0.9941236,0.0006544043,0.002209174,0.0001343288,0.002746961,0.000006836755,0.00002953204,0.00005169433,0.00004348054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2833511,"threshold_uncertainty_score":0.9999751,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404764622","doi":"10.1080/03461238.2024.2431539","title":"Optimal robust reinsurance with multiple insurers*","year":2024,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Canadian Statistical Sciences Institute; Natural Sciences and Engineering Research Council of Canada","keywords":"Reinsurance; Actuarial science; Econometrics; Business; Mathematics; Computer science; Mathematical optimization","authors":[{"name":"Emma Kroell","is_ca":true},{"name":"Sebastian Jaimungal","is_ca":true},{"name":"Silvana M. Pesenti","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01773784575992594,"gpt":0.2765905577878879,"spread":0.258852712027962,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001885375,0.0003048075,0.0003354656,0.000406199,0.00147997,0.00153884,0.0006353438,0.0001706186,0.0005433559],"category_scores_gemma":[0.0001394741,0.0002478974,0.0002629206,0.0009938683,0.0005920033,0.001001763,0.00005857203,0.0008676172,0.0001377533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003702499,"about_ca_system_score_gemma":0.0004087523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001330119,"about_ca_topic_score_gemma":0.001819634,"domain_scores_codex":[0.996569,0.000354032,0.0004541085,0.0004836516,0.001251655,0.0008875243],"domain_scores_gemma":[0.9987786,0.0001496035,0.0001742352,0.0002916548,0.0001864325,0.0004194915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002871504,0.0008216025,0.6120382,0.0003447449,0.002590267,0.00717766,0.05953902,0.01860889,0.0002874399,0.07201239,0.07010389,0.1536044],"study_design_scores_gemma":[0.005613415,0.001085055,0.2825384,0.001714323,0.0005423139,0.0005805497,0.01236429,0.001867783,0.0001459215,0.004031911,0.6872468,0.002269245],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8870653,0.00212684,0.01654151,0.004412642,0.0124608,0.001172377,0.00007579117,0.0006845893,0.07546015],"genre_scores_gemma":[0.9910514,0.0006908062,0.003024947,0.000136867,0.003531177,0.00001833198,0.00000660659,0.00005163342,0.001488256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6171429,"threshold_uncertainty_score":0.9999973,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390509196","doi":"10.1080/03461238.2023.2289374","title":"Cyber risk modeling: a discrete multivariate count process approach","year":2024,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":2,"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":"Count data; Multivariate statistics; Negative binomial distribution; Econometrics; Computer science; Component (thermodynamics); Poisson distribution; Statistics; Autoregressive model; Mathematics","authors":[{"name":"Yang Lu","is_ca":true},{"name":"Jinggong Zhang","is_ca":false},{"name":"Wenjun Zhu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09232132095390248,"gpt":0.3933373072870648,"spread":0.3010159863331623,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007748773,0.0003760149,0.0005634656,0.0005097329,0.000921562,0.00344657,0.001387956,0.0002683279,0.0004959526],"category_scores_gemma":[0.001805949,0.0002242457,0.0004942307,0.001009929,0.0002015243,0.001672752,0.0001676599,0.00156956,0.0003695946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002560076,"about_ca_system_score_gemma":0.000587195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001960322,"about_ca_topic_score_gemma":0.00002243375,"domain_scores_codex":[0.9939979,0.0005913686,0.001275995,0.0009501332,0.002458403,0.0007262321],"domain_scores_gemma":[0.9975179,0.0005013478,0.0003370253,0.0006301583,0.0004671133,0.0005464198],"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":[0.003465824,0.001081602,0.009258677,0.000188328,0.001186932,0.0006952647,0.06100539,0.6109414,0.0006020878,0.03118096,0.01458277,0.2658108],"study_design_scores_gemma":[0.0006446697,0.00008648358,0.0002784672,0.0001004396,0.00007951404,0.0003615814,0.0007020239,0.646113,0.00002427002,0.349427,0.001886853,0.0002956973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2296584,0.0008726831,0.7561275,0.001003927,0.004018968,0.0004584412,0.0001392743,0.0001625791,0.007558295],"genre_scores_gemma":[0.9936068,0.0001229364,0.003428835,0.0000710375,0.001837922,0.000017374,0.000006733548,0.00004020613,0.0008681517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7639484,"threshold_uncertainty_score":0.9975879,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408072032","doi":"10.1080/03461238.2025.2471334","title":"Optimal insurance design in the presence of government financial assistance","year":2025,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","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":"University of Calgary","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Shenzhen Science and Technology Innovation Program; National Natural Science Foundation of China","keywords":"Business; Government (linguistics); Actuarial science; Finance; Computer science","authors":[{"name":"Tim J. Boonen","is_ca":false},{"name":"Wenjun Jiang","is_ca":true},{"name":"Yaodi Yong","is_ca":false},{"name":"Yiying Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01983384032960171,"gpt":0.2275360366130824,"spread":0.2077021962834807,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002058171,0.0001737114,0.0004227664,0.0001700609,0.0002142292,0.000130784,0.0007418293,0.0001013986,0.00006288792],"category_scores_gemma":[0.0004882708,0.0001525072,0.0001539542,0.0006069088,0.0001125261,0.0003021449,0.00006186737,0.0004385008,0.0000235847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002544064,"about_ca_system_score_gemma":0.0000741027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009913214,"about_ca_topic_score_gemma":0.00003643176,"domain_scores_codex":[0.9981758,0.00008628466,0.0008977398,0.0002767721,0.0001743916,0.0003890379],"domain_scores_gemma":[0.9989275,0.0001406233,0.0005450186,0.0003143789,0.00003314506,0.00003928283],"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":[0.00168995,0.0006665504,0.4199126,0.00009718772,0.0000990281,0.0001415445,0.003358287,0.005055106,0.00008694069,0.5243032,0.01929033,0.0252993],"study_design_scores_gemma":[0.002120966,0.0002210554,0.9201471,0.0002414145,0.0000111084,0.0000130548,0.0002761299,0.0004229134,0.0002201037,0.04936955,0.02668635,0.0002702776],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7095578,0.003470915,0.2373374,0.002407779,0.004688242,0.001093627,0.0002427521,0.00001792079,0.04118348],"genre_scores_gemma":[0.9966413,0.0005749215,0.001663861,0.0003264315,0.0002370829,0.00002817325,9.42988e-7,0.000008883392,0.00051844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5002345,"threshold_uncertainty_score":0.6219064,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413030001","doi":"10.1080/03461238.2025.2537925","title":"Mortality prediction via age-specific band selection","year":2025,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; University of Prince Edward Island","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Selection (genetic algorithm); Computer science; Econometrics; Mathematics; Statistics; Artificial intelligence","authors":[{"name":"Yechao Meng","is_ca":true},{"name":"Liqun Diao","is_ca":true},{"name":"Chengguo Weng","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02157850417526177,"gpt":0.3176738710202858,"spread":0.296095366845024,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002246839,0.0002160147,0.0002868744,0.0004724088,0.002186269,0.000710825,0.0004135455,0.0002116062,0.0006353575],"category_scores_gemma":[0.00008465555,0.0002159656,0.0002614602,0.001078918,0.0003641054,0.0006071433,0.00003812852,0.0006108812,0.00003640481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006384386,"about_ca_system_score_gemma":0.0002018722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001476278,"about_ca_topic_score_gemma":0.002185578,"domain_scores_codex":[0.9970448,0.0005376532,0.0005651515,0.0003685114,0.0008710616,0.0006128071],"domain_scores_gemma":[0.9990003,0.00005473109,0.0002706559,0.0002276979,0.0002175236,0.0002291584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003879601,0.0004171121,0.8262056,0.00004206602,0.0006782215,0.0001296003,0.005173357,0.0001479983,0.001029847,0.03158065,0.06283873,0.07136885],"study_design_scores_gemma":[0.001293036,0.0001001642,0.8074869,0.0001003973,0.0001657112,0.00001504486,0.001007499,0.00004871523,0.0001845637,0.03112824,0.1581838,0.0002859912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7504799,0.000428656,0.03418636,0.001492317,0.0201589,0.001128073,0.00003100557,0.0003610825,0.1917337],"genre_scores_gemma":[0.9941925,0.0008385984,0.0002153063,0.0001605723,0.002917807,0.00001649188,0.00001104904,0.00001513947,0.001632512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2437126,"threshold_uncertainty_score":0.9991127,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411576260","doi":"10.1080/03461238.2025.2522201","title":"Counter-monotonic risk allocations and distortion risk measures","year":2025,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monotonic function; Actuarial science; Distortion (music); Econometrics; Mathematics; Computer science; Mathematical economics; Statistics; Economics; Telecommunications; Mathematical analysis","authors":[{"name":"Mario Ghossoub","is_ca":true},{"name":"Qinghua Ren","is_ca":true},{"name":"Ruodu Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02487405945254133,"gpt":0.3492811419472316,"spread":0.3244070824946903,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003402392,0.0001734563,0.0002809311,0.0005519961,0.001198921,0.00105422,0.0004229567,0.0001289705,0.0001625152],"category_scores_gemma":[0.002615241,0.0001285917,0.0001450003,0.0006993264,0.0001473954,0.0006090345,0.00006285546,0.0004920891,0.00005491571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001616391,"about_ca_system_score_gemma":0.0002454084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002528646,"about_ca_topic_score_gemma":0.0002711037,"domain_scores_codex":[0.9972237,0.0005093556,0.0007866187,0.0003532069,0.0008566929,0.0002704523],"domain_scores_gemma":[0.9978206,0.0004313555,0.0007362061,0.000367695,0.0004399013,0.0002042213],"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":[0.0002891487,0.00007214054,0.3966277,0.00000109845,0.0001064046,0.000007853122,0.00104583,0.002241096,0.00005498614,0.001151073,0.02574795,0.5726547],"study_design_scores_gemma":[0.002451949,0.0002081784,0.6980634,0.00007982609,0.0003486932,0.000131021,0.0009769922,0.007192154,0.0001819166,0.1246093,0.1653645,0.0003920285],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5038373,0.001378651,0.4774959,0.001444486,0.004752634,0.0003672581,0.00007719175,0.00005770831,0.01058886],"genre_scores_gemma":[0.9885661,0.008320846,0.0009060594,0.00008606364,0.0003993878,0.000006492857,0.000005591533,0.000009698802,0.001699785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5722627,"threshold_uncertainty_score":0.9999828,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387498563","doi":"10.1080/03461238.2023.2264555","title":"Two hybrid models for dependent death times of couple: a common shock approach","year":2023,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","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":"Copula (linguistics); Life insurance; Econometrics; Actuarial science; Shock (circulatory); Bivariate analysis; Function (biology); Wife; Event (particle physics); Survival function; Economics; Mathematics; Computer science; Statistics; Law; Survival analysis; Physics; Political science","authors":[{"name":"Zied Chaieb","is_ca":false},{"name":"Domenico De Giovanni","is_ca":false},{"name":"Djibril Gueye","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04506163172093235,"gpt":0.3345193185115907,"spread":0.2894576867906584,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002949324,0.0002337597,0.0004757069,0.0004175659,0.00107376,0.0002985281,0.0007625867,0.00009469071,0.0001373105],"category_scores_gemma":[0.00008741659,0.0002190865,0.000381399,0.0005322773,0.0002504533,0.0004720923,0.0001110381,0.0003293717,0.00001719722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002207916,"about_ca_system_score_gemma":0.000227429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001669219,"about_ca_topic_score_gemma":0.0004597811,"domain_scores_codex":[0.9968492,0.0002747616,0.000624,0.0003340188,0.001124257,0.000793726],"domain_scores_gemma":[0.9986073,0.0001593096,0.0004340957,0.0002897111,0.000221669,0.0002878569],"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":[0.00222058,0.001506665,0.1465745,0.0003664173,0.002005977,0.0003056209,0.02563915,0.03534221,0.0002649346,0.6650329,0.06031353,0.06042751],"study_design_scores_gemma":[0.01670831,0.001173344,0.04043922,0.0004926172,0.001225036,0.000177467,0.02148502,0.07599869,0.0007251468,0.8179355,0.02118895,0.002450638],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.821169,0.0003855129,0.04099366,0.001133659,0.005675732,0.003204128,0.0003813796,0.0003872785,0.1266697],"genre_scores_gemma":[0.9955527,0.0003836745,0.001568405,0.00007173706,0.001238657,0.00005075505,0.00003782268,0.00003599914,0.001060236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1743838,"threshold_uncertainty_score":0.8934087,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4239483648","doi":"10.1080/03461230701551318","title":"Corrigendum","year":2007,"lang":"es","type":"erratum","venue":"Scandinavian Actuarial Journal","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Mathematics; Computer science","authors":[{"name":"Jan Dhaene","is_ca":false},{"name":"Gordon E. Willmot","is_ca":true},{"name":"Bjørn Sundt","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03418971952865314,"gpt":0.3003445768492813,"spread":0.2661548573206282,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.006553765,0.003250927,0.003544808,0.004698404,0.003278117,0.005322595,0.004219386,0.005015208,0.02560709],"category_scores_gemma":[0.00140168,0.003106231,0.002798787,0.002413498,0.001339342,0.001457439,0.0006676512,0.02043442,0.04775099],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006567139,"about_ca_system_score_gemma":0.005310851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003678833,"about_ca_topic_score_gemma":0.0001742005,"domain_scores_codex":[0.9815086,0.00134509,0.004117436,0.001997237,0.005605779,0.00542588],"domain_scores_gemma":[0.9857171,0.0002616092,0.006102338,0.001950992,0.00165214,0.004315786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00330723,0.0005701713,0.002036858,0.0001605141,0.001766803,0.007614861,0.001042226,0.000005162161,0.0007594805,0.0006516216,0.9642675,0.01781756],"study_design_scores_gemma":[0.006291938,0.001420475,0.008938626,0.004180191,0.001958616,0.01848757,0.0006457656,0.00005237511,0.0002047015,0.001774181,0.9527017,0.003343836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.001873758,0.005398695,0.00127265,0.0005487114,0.6668395,0.00147317,0.002125992,0.0004487738,0.3200187],"genre_scores_gemma":[0.06029648,0.00600409,0.001377631,0.0009328551,0.3139329,0.00002210255,0.002022456,0.002927993,0.6124834],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.3529066,"threshold_uncertainty_score":0.9980217,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7117773576","doi":"10.1080/03461238.2025.2603260","title":"The power of human capital in lifecycles. Insights from a flexible framework.","year":2025,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","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":"Power (physics); Human capital; Capital (architecture); Work (physics)","authors":[{"name":"Marcos Escobar‐Anel","is_ca":true},{"name":"Gaurav Khemka","is_ca":false},{"name":"William Lim","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0100037276972078,"gpt":0.2472593156548638,"spread":0.237255587957656,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003192642,0.0001991931,0.0002844467,0.0005423003,0.0005867002,0.000764432,0.0006237061,0.0001112365,0.0004752801],"category_scores_gemma":[0.0001178125,0.0001426534,0.0001678359,0.0004953321,0.0001330891,0.0005000274,0.0002626507,0.0005265836,0.00006589502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008654837,"about_ca_system_score_gemma":0.00003422054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000621432,"about_ca_topic_score_gemma":0.0003585609,"domain_scores_codex":[0.9984686,0.00003142747,0.0005647866,0.0002197614,0.0003692974,0.0003460774],"domain_scores_gemma":[0.9991289,0.0001062509,0.0003506085,0.00030968,0.00008111061,0.00002342125],"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":[0.0008159773,0.0007807442,0.1732534,0.0001397591,0.0007182532,0.0002805534,0.003355756,0.0001574041,0.001616428,0.7779173,0.02360873,0.01735566],"study_design_scores_gemma":[0.002994116,0.00005940768,0.3081875,0.001021371,0.0001463514,0.000002385775,0.00388918,0.00008836156,0.0001339,0.603649,0.07942601,0.0004024176],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626591,0.000441058,0.0002638196,0.0007534252,0.001311792,0.0002213064,0.000001539266,0.0000318177,0.0343162],"genre_scores_gemma":[0.9974225,0.00003013126,0.00003011436,0.0006171896,0.00128873,0.000006832368,0.00000711787,0.00001737746,0.0005800218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1742683,"threshold_uncertainty_score":0.7371435,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405994321","doi":"10.1080/03461238.2024.2447468","title":"Bowley solution of a variance game in insurance","year":2025,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","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":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; University of Calgary","keywords":"Stackelberg competition; Variance (accounting); Indemnity; Pareto principle; Inefficiency; Reinsurance; Pareto optimal; Mathematical economics; Economics; Mathematics; Mathematical optimization; Actuarial science; Microeconomics; Multi-objective optimization","authors":[{"name":"Wenjun Jiang","is_ca":true},{"name":"Xiaoqing Liang","is_ca":false},{"name":"Virginia R. Young","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01535593970040019,"gpt":0.2309363003067528,"spread":0.2155803606063526,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008688323,0.0001434801,0.0004620652,0.0005862917,0.000101182,0.00007204991,0.0003193935,0.0001187918,0.00009471273],"category_scores_gemma":[0.0001637544,0.0001641435,0.000142744,0.0006565716,0.00007201532,0.0003416103,0.00005212611,0.0003515263,0.00007000226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002459812,"about_ca_system_score_gemma":0.00006297477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003687365,"about_ca_topic_score_gemma":0.00007276763,"domain_scores_codex":[0.9983868,0.00002712794,0.0009160163,0.0002513639,0.00006164014,0.0003570709],"domain_scores_gemma":[0.9991546,0.00002726889,0.0005001024,0.000219543,0.00004873113,0.00004972648],"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":[0.0004858566,0.0002956417,0.4742737,0.00008292941,0.00008522716,0.00004018783,0.0009329883,0.0002675315,0.0001694773,0.4883803,0.001766824,0.03321939],"study_design_scores_gemma":[0.002351635,0.00009465076,0.8097492,0.0002640473,0.00000615293,0.00000868386,0.00004467144,0.0003474128,0.000104746,0.1685707,0.01825117,0.0002068983],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7625453,0.004837051,0.08867365,0.001856012,0.007462681,0.0005982607,0.0001355567,0.00003532978,0.1338562],"genre_scores_gemma":[0.9975048,0.0008444092,0.0004538453,0.0001626439,0.0002276747,0.000009723168,0.000002521722,0.00001032681,0.0007840828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3354756,"threshold_uncertainty_score":0.6693577,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385309477","doi":"10.1080/03461238.2023.2239533","title":"Pareto-optimal insurance with an upper limit on the insurer's exposure","year":2023,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Deductible; Limit (mathematics); Economics; Arrow; Pareto principle; Distortion (music); Variable (mathematics); Actuarial science; Insurance policy; Ex-ante; Mathematical economics; Econometrics; Mathematics; Computer science; Operations management","authors":[{"name":"Oma Coke","is_ca":false},{"name":"Mario Ghossoub","is_ca":true},{"name":"Michael B. Zhu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07473076207641781,"gpt":0.337294534091875,"spread":0.2625637720154572,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00342477,0.000263257,0.0003250736,0.0004497017,0.001048898,0.001383179,0.001108937,0.0001473621,0.0006785021],"category_scores_gemma":[0.0008991322,0.0001301938,0.000157552,0.001666158,0.0001713136,0.0008694288,0.00006193053,0.000685194,0.0006480232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005815398,"about_ca_system_score_gemma":0.0001928986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001936605,"about_ca_topic_score_gemma":0.00003503127,"domain_scores_codex":[0.995788,0.0005401698,0.0006537838,0.0004449633,0.002042954,0.0005300636],"domain_scores_gemma":[0.9974166,0.0006949152,0.000477056,0.0006936454,0.0003709301,0.0003468208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003553017,0.0002348075,0.6944967,0.000001883083,0.0001519808,0.0004956257,0.007146574,0.04661405,0.0001326916,0.004003217,0.06790782,0.1752617],"study_design_scores_gemma":[0.002341502,0.0027965,0.9330978,0.0001062159,0.00003827281,0.000563778,0.003329542,0.003198748,0.0002500935,0.01202035,0.04167665,0.0005805689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900973,0.00003469101,0.001213212,0.003314052,0.00157579,0.0002250152,0.00003615211,0.00008217022,0.003421588],"genre_scores_gemma":[0.9961131,0.0002869059,0.0004434609,0.0005096574,0.001385057,0.00001078627,0.00001235652,0.00003272834,0.00120598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2386011,"threshold_uncertainty_score":0.9996535,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399817129","doi":"10.1080/03461238.2024.2365977","title":"Spatial natural hedging: a general framework with application to the mortality of U.S. states","year":2024,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social 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":"St. Francis Xavier University","funders":"","keywords":"Natural (archaeology); Econometrics; Geography; Mathematics; Computer science; Statistics","authors":[{"name":"Kyran Cupido","is_ca":true},{"name":"Petar Jevtić","is_ca":false},{"name":"Luca Regis","is_ca":false},{"name":"Kenneth Q. Zhou","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01007467276342909,"gpt":0.3132846967513995,"spread":0.3032100239879704,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001631296,0.000183017,0.0002337012,0.0001937678,0.0007507602,0.0005499844,0.0005856249,0.00008999868,0.00012621],"category_scores_gemma":[0.00008221588,0.0001184874,0.0001709016,0.0008126082,0.0003495736,0.0002742249,0.00006266276,0.0005915176,0.00002483985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001925689,"about_ca_system_score_gemma":0.0002203181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006189508,"about_ca_topic_score_gemma":0.005290837,"domain_scores_codex":[0.9975438,0.0002707104,0.0003920122,0.0002973142,0.001026978,0.00046922],"domain_scores_gemma":[0.9990475,0.0001050096,0.0001851058,0.0002957263,0.0001670663,0.0001996004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00104118,0.0003446404,0.3501658,0.0001849976,0.001739186,0.0002204876,0.08061006,0.002700577,0.0003951949,0.2225003,0.01412294,0.3259746],"study_design_scores_gemma":[0.001201958,0.0005986068,0.7152399,0.0008204154,0.0006560485,0.00006413749,0.00810471,0.003024189,0.0003859407,0.08363232,0.1851705,0.001101164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8823141,0.0006045092,0.1014095,0.0064303,0.005041626,0.001058653,0.00004350902,0.0001211238,0.00297663],"genre_scores_gemma":[0.9946837,0.0001682762,0.00123905,0.0002587642,0.003448132,0.00003002838,0.000008559417,0.00002136223,0.0001421538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3650741,"threshold_uncertainty_score":0.9356726,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}