{"meta":{"query_hash":"413032175868","filters":{"venue":"World Scientific series in finance"},"cohort_total":25,"direct_labels_cover":0,"predictions_cover":25,"exported":25,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/413032175868","api":"https://metacan.xera.ac/api/v1/cohort?venue=World+Scientific+series+in+finance"},"results":[{"id":"W2484661771","doi":"10.1142/10149","title":"Great Investment Ideas","year":2016,"lang":"en","type":"book","venue":"World Scientific series in finance","topic":"State Capitalism and Financial Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Investment (military); Economics; Business; Political science; Law","score_opus":0.014555985020131654,"score_gpt":0.20288900733361184,"score_spread":0.1883330223134802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2484661771","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00096949516,0.013215133,0.0027526552,0.020982992,0.006622006,0.000018961748,0.000072705276,0.00012687052,0.95523924],"genre_scores_gemma":[0.03243746,0.010559731,0.0026622512,0.011855885,0.0055837994,0.000060383496,0.00015187099,0.00022253192,0.93646616],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99869543,0.00024530993,0.000036752208,0.00014088454,0.0007283697,0.0001532945],"domain_scores_gemma":[0.9986731,0.00032820756,0.000083231556,0.00021237205,0.00036237846,0.0003407183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015386927,0.00067604095,0.00037090053,0.0015090649,0.0014356778,0.0079620285,0.00058518816,0.0020568625,0.041503984],"category_scores_gemma":[0.004509189,0.00030271758,0.00034719284,0.0012836325,0.0037910468,0.005709057,0.0029462245,0.0053773685,0.015238523],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009969107,0.000011544158,0.00007648928,0.00004300529,0.000004550278,0.00003010249,0.0001915104,0.00007219236,0.00007473829,0.5984005,0.3603307,0.040754598],"study_design_scores_gemma":[0.0000058700584,0.0000052927526,0.00009419821,0.000077810415,0.0000025557322,0.000066609064,0.00006125761,0.00006290232,0.00004579773,0.13055585,0.86901796,0.000003968946],"about_ca_topic_score_codex":0.0005146798,"about_ca_topic_score_gemma":0.0012360888,"teacher_disagreement_score":0.041503984,"about_ca_system_score_codex":0.0024629275,"about_ca_system_score_gemma":0.0018900521,"threshold_uncertainty_score":0.13884467},"labels":[],"label_agreement":null},{"id":"W2749437512","doi":"10.1142/9789813148529_0006","title":"The Canadian Sports Pool and a New Name, Dr Z, 1982","year":2017,"lang":"en","type":"book-chapter","venue":"World Scientific series in finance","topic":"Musculoskeletal Disorders and Rehabilitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"History; Genealogy; Political science","score_opus":0.016142590770307594,"score_gpt":0.2527056280805031,"score_spread":0.2365630373101955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2749437512","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008926559,0.07080558,0.0009791799,0.06236568,0.027887058,0.00006936504,0.0017653347,0.00039871325,0.8348365],"genre_scores_gemma":[0.0013375927,0.0064816866,0.00024540053,0.0021705672,0.0006234414,0.000007808331,0.00019224347,0.000062034545,0.9888791],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993789,0.00002828426,0.000018486435,0.00011500541,0.00034210496,0.00011715564],"domain_scores_gemma":[0.9991015,0.00004274234,0.000020464062,0.000027868784,0.0004769267,0.00033056753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053456187,0.0011077273,0.0006696695,0.0020153346,0.0066309944,0.0049289195,0.00088878424,0.0024388744,0.26236913],"category_scores_gemma":[0.0013938985,0.0004888312,0.00035641468,0.0024560518,0.0014595087,0.002887164,0.0018937682,0.003192691,0.084076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000089290725,0.0000043507944,0.00010563955,0.000033433018,9.441261e-7,0.000045436995,0.00012010402,0.00002298085,0.000088316,0.005811375,0.957196,0.0365624],"study_design_scores_gemma":[5.757012e-7,0.000001629276,0.00012272563,0.000020643834,3.309952e-7,0.000027198063,0.00005515532,0.0000044300223,0.000011996647,0.00016277914,0.9995907,0.0000018310024],"about_ca_topic_score_codex":0.42258903,"about_ca_topic_score_gemma":0.7838469,"teacher_disagreement_score":0.57741094,"about_ca_system_score_codex":0.011372007,"about_ca_system_score_gemma":0.015655762,"threshold_uncertainty_score":0.8777122},"labels":[],"label_agreement":null},{"id":"W2775863291","doi":"10.1142/7957","title":"Quantitative Methods in Risk Analysis","year":2011,"lang":"en","type":"book","venue":"World Scientific series in finance","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Risk analysis (engineering); Computer science; Medicine","score_opus":0.14689734896499265,"score_gpt":0.4386886627727533,"score_spread":0.2917913138077607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775863291","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00043396142,0.048749942,0.76091,0.0044792737,0.0027975296,0.00010840328,0.0004897728,0.00092038617,0.18111077],"genre_scores_gemma":[0.037248116,0.0737611,0.42050076,0.0049478966,0.009194773,0.0009739558,0.0012129205,0.0021701166,0.44999033],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997829,0.0006857189,0.000111983776,0.00018159713,0.0011489262,0.00004275154],"domain_scores_gemma":[0.9959525,0.0030478435,0.00011116003,0.00033609977,0.0004958682,0.000056469456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030076455,0.0020057552,0.0017644278,0.0037374082,0.0005180012,0.0027707876,0.0011874711,0.00130632,0.02303897],"category_scores_gemma":[0.006924052,0.0009932668,0.0008991765,0.003163891,0.0026862922,0.0039500417,0.001345547,0.003763611,0.010943044],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008252766,0.000037739712,0.000096471405,0.0005014251,0.00004211502,0.00003371114,0.00014715057,0.0043992135,0.00043589092,0.62970686,0.15274331,0.2118479],"study_design_scores_gemma":[0.00000578159,0.000011559954,0.0001611944,0.00018977211,0.000014920298,0.00007454773,0.00003051827,0.006070779,0.00023467878,0.7872384,0.20595062,0.000017272034],"about_ca_topic_score_codex":0.0011242144,"about_ca_topic_score_gemma":0.0016920939,"teacher_disagreement_score":0.02303897,"about_ca_system_score_codex":0.0015588885,"about_ca_system_score_gemma":0.0012722936,"threshold_uncertainty_score":0.0770731},"labels":[],"label_agreement":null},{"id":"W3021551736","doi":"10.1142/9789811285530_0019","title":"Land and stock bubbles, crashes and exit strategies in Japan circa 1990 and in 2013","year":2024,"lang":"en","type":"book-chapter","venue":"World Scientific series in finance","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Crash; Stock (firearms); Earnings; Stock market crash; Stock market; Stock market bubble; Economics; Financial economics; Earnings yield; Yield (engineering); Bubble; Business; Finance; Geography; Earnings per share; Price–earnings ratio; Computer science","score_opus":0.026986092036180003,"score_gpt":0.20938128369455491,"score_spread":0.18239519165837492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021551736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930803,0.0024691834,0.00013983414,0.00028019593,0.000015734642,0.0000052836804,0.0012202496,0.000008209679,0.00278099],"genre_scores_gemma":[0.9931772,0.0021741516,0.00013239929,0.00004596906,0.00007104905,0.000009611721,0.0025311464,0.000008704791,0.0018497921],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993443,0.000004153764,0.000006043046,0.000014128625,0.000016560465,0.000024637564],"domain_scores_gemma":[0.9993789,0.000054054322,0.000354493,0.000012008126,0.00008676321,0.00011370155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020930574,0.00022417429,0.00026333824,0.0010916475,0.00041209863,0.00092671457,0.0002175436,0.00030256927,0.0011388569],"category_scores_gemma":[0.00076049054,0.000098561104,0.00026732756,0.0016684963,0.0003530059,0.000876276,0.0006849147,0.00043945236,0.00025903917],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014638393,0.000076898585,0.9666176,0.00010633927,0.000073785326,0.0010031613,0.0021975543,0.0015888516,0.00052108633,0.0020838575,0.0075675277,0.018017057],"study_design_scores_gemma":[0.000004462951,0.000032611177,0.99177516,0.000031908643,0.0000455155,0.00016642419,0.0019012701,0.0025856977,0.000104700775,0.00056500226,0.0027732986,0.000014027243],"about_ca_topic_score_codex":0.08039924,"about_ca_topic_score_gemma":0.10540199,"teacher_disagreement_score":0.08039924,"about_ca_system_score_codex":0.0008839681,"about_ca_system_score_gemma":0.00056546053,"threshold_uncertainty_score":0.15986252},"labels":[],"label_agreement":null},{"id":"W3124569835","doi":"10.1142/9789814417501_0013","title":"STOCK MARKET CRASHES IN 2007–2009: WERE WE ABLE TO PREDICT THEM?","year":2013,"lang":"en","type":"book-chapter","venue":"World Scientific series in finance","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stock market; Stock (firearms); Business; Financial economics; Econometrics; Economics; Monetary economics; Geography","score_opus":0.03305328173566558,"score_gpt":0.2019924844170461,"score_spread":0.16893920268138052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124569835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96642894,0.007749147,0.0024424358,0.0059531997,0.0002476673,0.00004776556,0.010442026,0.00009370638,0.0065952092],"genre_scores_gemma":[0.98496544,0.002511804,0.0010647348,0.00031770635,0.0001961907,0.000027631131,0.008658392,0.000018138056,0.0022399176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969614,0.00006287074,0.000025041807,0.000077637524,0.000080676764,0.000057700585],"domain_scores_gemma":[0.9980166,0.0005052991,0.000511418,0.00008869442,0.0007146783,0.00016325213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014445446,0.0006437859,0.0004226817,0.0010186164,0.00022885096,0.0013645043,0.0006400339,0.0006292567,0.0038609456],"category_scores_gemma":[0.005676743,0.00025496268,0.00046715632,0.00077892916,0.00022157395,0.0017675776,0.0005222619,0.0010070538,0.0011238733],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008464242,0.000083302206,0.958884,0.000042089952,0.0000945443,0.00010520437,0.00012380768,0.0050758435,0.000090293295,0.00039637243,0.0066473675,0.028372632],"study_design_scores_gemma":[0.000020366992,0.0001699735,0.9132905,0.00028662098,0.000117693875,0.00012934454,0.0010821678,0.07699009,0.0006226314,0.0022188288,0.005022304,0.000049471902],"about_ca_topic_score_codex":0.036206074,"about_ca_topic_score_gemma":0.04239832,"teacher_disagreement_score":0.036206074,"about_ca_system_score_codex":0.0010481427,"about_ca_system_score_gemma":0.00078132696,"threshold_uncertainty_score":0.07199067},"labels":[],"label_agreement":null},{"id":"W4243596616","doi":"10.1142/9789814407519_bmatter","title":"BACK MATTER","year":2012,"lang":"en","type":"paratext","venue":"World Scientific series in finance","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Dalhousie University","funders":"","keywords":"Computer science","score_opus":0.024076602595096655,"score_gpt":0.2667453347964727,"score_spread":0.24266873220137608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243596616","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00041038566,0.0016689841,0.0004378829,0.0093322275,0.0139745055,0.000065869965,0.0036323671,0.0012643173,0.96921355],"genre_scores_gemma":[0.000557955,0.00026009054,0.000067878835,0.00069464784,0.0003499619,0.000009030836,0.00049494766,0.00010030962,0.99746525],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995499,0.00003633411,0.000018872262,0.00011784022,0.00016483106,0.00011225118],"domain_scores_gemma":[0.9991352,0.00008191039,0.000040915627,0.00011457455,0.00029182286,0.00033551213],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00048028646,0.0013020055,0.0010635954,0.001598827,0.0017209599,0.0071245246,0.0011792706,0.003002945,0.91353446],"category_scores_gemma":[0.0030320252,0.00040333022,0.00096887513,0.0013253683,0.00095761043,0.0018316967,0.002359994,0.002643655,0.9082608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047176756,0.0000381337,0.00007416483,0.00008940306,0.0000046087794,0.000043153163,0.000011501579,0.00003401834,0.00017516744,0.002361854,0.9335256,0.06359532],"study_design_scores_gemma":[0.00000971872,0.000010638946,0.0002085337,0.000059968705,0.000003077546,0.00003496203,0.000019975589,0.00003908536,0.000117390744,0.0012880629,0.9982046,0.0000039964975],"about_ca_topic_score_codex":0.0029073362,"about_ca_topic_score_gemma":0.005223576,"teacher_disagreement_score":0.08646554,"about_ca_system_score_codex":0.0013594001,"about_ca_system_score_gemma":0.0017087619,"threshold_uncertainty_score":0.12333262},"labels":[],"label_agreement":null},{"id":"W4252509457","doi":"10.1142/10506","title":"Stock Market Crashes","year":2017,"lang":"en","type":"book","venue":"World Scientific series in finance","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stock market; Financial economics; Business; Stock (firearms); Economics; Geography; Archaeology","score_opus":0.030462942813855306,"score_gpt":0.22344133961621468,"score_spread":0.19297839680235937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252509457","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014786684,0.17824516,0.011589367,0.013828246,0.0070762676,0.00013041662,0.0028917212,0.0010121791,0.77044],"genre_scores_gemma":[0.104781255,0.17817093,0.0026300133,0.0032612283,0.010845836,0.00009242918,0.00567026,0.0002436195,0.6943044],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997304,0.000020876532,0.000016457781,0.00003231836,0.00016840894,0.00003158513],"domain_scores_gemma":[0.99946505,0.00009604017,0.000081380145,0.000058391914,0.00022604606,0.0000731019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035344582,0.0008366343,0.00039506698,0.002192536,0.00035259456,0.0014240674,0.00047366307,0.0009263177,0.034325544],"category_scores_gemma":[0.002131932,0.00020589195,0.00045365142,0.0011600455,0.0003598783,0.0015437397,0.0010183661,0.0011750326,0.015858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006381844,0.0000617656,0.0028201716,0.00022021573,0.000053937118,0.00026349007,0.00007989312,0.0010249126,0.0003920801,0.028721439,0.4975574,0.46874082],"study_design_scores_gemma":[0.00002308935,0.00012219683,0.014024835,0.00094888447,0.0000796349,0.0021945876,0.00015882059,0.0021871903,0.0009497618,0.06304685,0.9162374,0.000026821792],"about_ca_topic_score_codex":0.0022701132,"about_ca_topic_score_gemma":0.0038970674,"teacher_disagreement_score":0.034325544,"about_ca_system_score_codex":0.00051458494,"about_ca_system_score_gemma":0.0006249275,"threshold_uncertainty_score":0.114830375},"labels":[],"label_agreement":null},{"id":"W4387122153","doi":"10.1142/13656","title":"Selected Works of William T Ziemba","year":2023,"lang":"en","type":"book","venue":"World Scientific series in finance","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Art","score_opus":0.04884069837694191,"score_gpt":0.31712966684446015,"score_spread":0.26828896846751826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387122153","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008362466,0.116758764,0.0025911776,0.021272985,0.036305215,0.000069405,0.00064562255,0.0004913127,0.8210293],"genre_scores_gemma":[0.003060273,0.05670877,0.002350125,0.0047878437,0.008863474,0.00004910227,0.00043761742,0.00051203027,0.9232307],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992274,0.00008583159,0.00003066865,0.000102963924,0.0004997595,0.000053333297],"domain_scores_gemma":[0.99895775,0.00027018297,0.00005487875,0.00007772785,0.00043724937,0.00020212625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074035925,0.00076184113,0.00064379454,0.0030238417,0.0018979297,0.00490095,0.0005679046,0.000905049,0.07395533],"category_scores_gemma":[0.0032063595,0.00036220744,0.0004274998,0.0035504557,0.0008388471,0.003815741,0.0015882667,0.0025302132,0.07068325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000054012307,0.00001039184,0.000033272892,0.00006455964,0.0000012544608,0.000029638317,0.000094288334,0.000038332673,0.00009294523,0.0096623385,0.94837475,0.04159281],"study_design_scores_gemma":[5.9136977e-7,0.0000025261281,0.00006723772,0.00008276148,7.559825e-7,0.00006657769,0.000024122939,0.00001669714,0.000028382163,0.0013070701,0.99840087,0.0000023612397],"about_ca_topic_score_codex":0.0022446956,"about_ca_topic_score_gemma":0.00534805,"teacher_disagreement_score":0.07395533,"about_ca_system_score_codex":0.0017486089,"about_ca_system_score_gemma":0.0016197445,"threshold_uncertainty_score":0.24740523},"labels":[],"label_agreement":null},{"id":"W4399826927","doi":"10.1142/9789811285530_0013","title":"GROWTH VERSUS SECURITY IN DYNAMIC INVESTMENT ANALYSIS","year":2024,"lang":"en","type":"book-chapter","venue":"World Scientific series in finance","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia; Dalhousie University","funders":"","keywords":"Investment (military); Business; Political science","score_opus":0.023153429319637917,"score_gpt":0.21890913449565175,"score_spread":0.19575570517601382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399826927","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03459613,0.00916144,0.86242723,0.0037189631,0.00028679246,0.000039726405,0.00012135186,0.00015390269,0.08949445],"genre_scores_gemma":[0.8533396,0.008951786,0.09121514,0.0005123793,0.00045796268,0.00013327734,0.0001398646,0.0001708168,0.045079127],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956733,0.00019000605,0.000014305246,0.000060788916,0.00011376985,0.000053725184],"domain_scores_gemma":[0.9986267,0.0011011853,0.000076954086,0.00006617675,0.00007277346,0.000056332236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011651786,0.0008844471,0.0004924334,0.00066491927,0.00043183402,0.0016983367,0.0006380551,0.00091998477,0.0039674714],"category_scores_gemma":[0.0039295703,0.0003494346,0.0004304701,0.0008173539,0.0019789878,0.0028191227,0.0008672011,0.0017292143,0.0005298026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012731415,0.000010057643,0.0001854746,0.000043435077,0.000006587489,0.000031476644,0.000037844628,0.059437204,0.00031285186,0.92640394,0.0018314407,0.011686931],"study_design_scores_gemma":[0.000004102173,0.000015096617,0.00012673074,0.00003395362,0.0000044431868,0.000029699726,0.000030207706,0.2172425,0.00017549824,0.7768351,0.0054947804,0.000007836003],"about_ca_topic_score_codex":0.0014778543,"about_ca_topic_score_gemma":0.0014023916,"teacher_disagreement_score":0.0039674714,"about_ca_system_score_codex":0.0019183736,"about_ca_system_score_gemma":0.0007388861,"threshold_uncertainty_score":0.013918877},"labels":[],"label_agreement":null},{"id":"W4399827130","doi":"10.1142/9789811285530_fmatter","title":"FRONT MATTER","year":2024,"lang":"en","type":"paratext","venue":"World Scientific series in finance","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Front (military); Geology; Oceanography","score_opus":0.016282424579140437,"score_gpt":0.26521550215520356,"score_spread":0.24893307757606312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399827130","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00044829128,0.0008753494,0.0004973754,0.0042595444,0.006365303,0.00006641507,0.002499431,0.00069420197,0.9842941],"genre_scores_gemma":[0.0006329372,0.0003054945,0.00011682263,0.0006606269,0.0004324326,0.000017140015,0.00043881556,0.00008558083,0.99731016],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999605,0.000026940226,0.00001476829,0.00011379377,0.00015443987,0.000085117696],"domain_scores_gemma":[0.9990276,0.00013576448,0.000053392756,0.00007366998,0.0002606766,0.00044886596],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005214509,0.0019951654,0.00087238674,0.0017036289,0.0013071744,0.005743642,0.0009951679,0.0037005346,0.9233295],"category_scores_gemma":[0.0015496032,0.0004838961,0.0006680383,0.0011326768,0.00090133166,0.0020984684,0.0020135955,0.0021514753,0.9121201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052651252,0.000059257607,0.00009493599,0.0001281402,0.000004384917,0.00005441093,0.00001573246,0.00007046631,0.0006004822,0.0034397084,0.882712,0.11276779],"study_design_scores_gemma":[0.000016622089,0.000021501393,0.00022276239,0.0000777602,0.000002059007,0.000038791786,0.000021119933,0.00007022704,0.00015842172,0.0010378944,0.9983286,0.000004218029],"about_ca_topic_score_codex":0.0015617633,"about_ca_topic_score_gemma":0.0021039224,"teacher_disagreement_score":0.07667053,"about_ca_system_score_codex":0.00096573285,"about_ca_system_score_gemma":0.0015947357,"threshold_uncertainty_score":0.10936111},"labels":[],"label_agreement":null},{"id":"W4399827480","doi":"10.1142/9789811285530_0006","title":"COMPARISON OF ALTERNATIVE UTILITY FUNCTIONS IN PORTFOLIO SELECTION PROBLEMS","year":2024,"lang":"en","type":"book-chapter","venue":"World Scientific series in finance","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Selection (genetic algorithm); Portfolio; Computer science; Economics; Econometrics; Mathematical economics; Financial economics; Artificial intelligence","score_opus":0.04274398397044458,"score_gpt":0.30050871618908764,"score_spread":0.25776473221864304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399827480","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35835335,0.004866094,0.6244502,0.00082786137,0.00007752087,0.00023477107,0.00010911103,0.00014663981,0.01093437],"genre_scores_gemma":[0.9044399,0.0019984413,0.09133133,0.00012482601,0.000037762933,0.00023092153,0.00013120097,0.000055590768,0.0016498986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98785967,0.010719331,0.00020686378,0.00023297837,0.00072057964,0.000260535],"domain_scores_gemma":[0.965415,0.032778367,0.00049643504,0.0005579698,0.0005354056,0.00021674985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020937378,0.001432482,0.0018373837,0.0019104215,0.00050618243,0.0024076803,0.0011180989,0.0015839927,0.0017254805],"category_scores_gemma":[0.039751153,0.00059943384,0.0012537767,0.0017672393,0.0015384634,0.002734243,0.0016942226,0.0016894918,0.00024843254],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059271924,0.0001699835,0.0018040097,0.0002108017,0.00015737432,0.00008876645,0.00015397952,0.8870165,0.00042293276,0.06550601,0.00034927274,0.04352775],"study_design_scores_gemma":[0.00007916384,0.00026274266,0.0007482668,0.000053697244,0.000039985887,0.00003545372,0.00006494189,0.9598679,0.00038574217,0.03798428,0.00044811142,0.000029751256],"about_ca_topic_score_codex":0.00096339214,"about_ca_topic_score_gemma":0.0006263816,"teacher_disagreement_score":0.020937378,"about_ca_system_score_codex":0.0014560027,"about_ca_system_score_gemma":0.00061966944,"threshold_uncertainty_score":0.1107288},"labels":[],"label_agreement":null},{"id":"W4399828674","doi":"10.1142/9789811285530_0018","title":"Stock market crashes in 2007–2009: were we able to predict them?","year":2024,"lang":"en","type":"book-chapter","venue":"World Scientific series in finance","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business; Stock market; Stock (firearms); Financial system; Geography","score_opus":0.02721684026037463,"score_gpt":0.21068538756490737,"score_spread":0.18346854730453274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399828674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78639734,0.024845934,0.011109138,0.03790704,0.0016265999,0.00012692115,0.07456236,0.0004864998,0.062938154],"genre_scores_gemma":[0.92590094,0.012700535,0.0025564635,0.0012551718,0.0008227855,0.000057618756,0.03599881,0.00008001884,0.020627746],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998172,0.000025892687,0.000013536937,0.000047781985,0.000049444756,0.000046108642],"domain_scores_gemma":[0.99943715,0.00014428473,0.0001293359,0.000036637302,0.00018762762,0.0000648707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072359765,0.0005428505,0.00026078895,0.00088479434,0.00025268542,0.000980189,0.0004936377,0.00052738213,0.007531075],"category_scores_gemma":[0.0023637074,0.00027045363,0.0005091842,0.00092789007,0.00016028242,0.0011397586,0.00043816795,0.0009245741,0.0016455546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018288067,0.00010658285,0.7726837,0.00020795633,0.00020374551,0.00029061813,0.0003464807,0.018334672,0.0003327747,0.004815301,0.07777068,0.124724574],"study_design_scores_gemma":[0.000028217639,0.00016282186,0.87938744,0.0004639504,0.00013383121,0.00026678966,0.0010062514,0.06508271,0.00081218645,0.0059733214,0.04660452,0.00007791489],"about_ca_topic_score_codex":0.09759023,"about_ca_topic_score_gemma":0.17847455,"teacher_disagreement_score":0.09759023,"about_ca_system_score_codex":0.0015996143,"about_ca_system_score_gemma":0.0012088554,"threshold_uncertainty_score":0.19404441},"labels":[],"label_agreement":null},{"id":"W4399828776","doi":"10.1142/9789811285530_0015","title":"Long-term capital growth: the good and bad properties of the Kelly and fractional Kelly capital growth criteria","year":2024,"lang":"en","type":"book-chapter","venue":"World Scientific series in finance","topic":"Fixed Point Theorems Analysis","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Dalhousie University","funders":"","keywords":"Term (time); Capital (architecture); Economics; Monetary economics; History; Physics; Ancient history","score_opus":0.020111993432160694,"score_gpt":0.23620652341519865,"score_spread":0.21609452998303796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399828776","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06593924,0.019901028,0.44881177,0.0067501618,0.0008760645,0.0000849547,0.00033995754,0.00034733998,0.45694953],"genre_scores_gemma":[0.8198491,0.007661111,0.07634974,0.00082195527,0.0007442198,0.00018649845,0.0001347919,0.00026545353,0.093987145],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99899167,0.00028360862,0.000056843626,0.00016412052,0.00036896917,0.00013486558],"domain_scores_gemma":[0.9975069,0.0012380441,0.00029853784,0.00028731985,0.00045985496,0.0002092736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024587987,0.0008243093,0.00056527945,0.0012322512,0.0009017019,0.004666985,0.00086323224,0.0012160896,0.0028093518],"category_scores_gemma":[0.007863095,0.00030421396,0.0006516392,0.0010900093,0.003657227,0.005778775,0.0016177823,0.0023179948,0.00085930136],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001075643,0.000004437552,0.000118988755,0.00002196397,0.000003993928,0.000030654373,0.0000655596,0.0019920948,0.00018752384,0.98574543,0.0018003918,0.010018187],"study_design_scores_gemma":[0.0000022073027,0.00001192698,0.00026519987,0.00003286199,0.0000048115558,0.00008002597,0.00003376819,0.010259969,0.00031121992,0.97528857,0.013695787,0.000013745606],"about_ca_topic_score_codex":0.0019952357,"about_ca_topic_score_gemma":0.0014821875,"teacher_disagreement_score":0.004666985,"about_ca_system_score_codex":0.00249366,"about_ca_system_score_gemma":0.0012983123,"threshold_uncertainty_score":0.01809287},"labels":[],"label_agreement":null},{"id":"W4399828835","doi":"10.1142/9789811285530_0007","title":"The Effect of Errors in Means, Variances, and Covariances on Optimal Portfolio Choice","year":2024,"lang":"en","type":"book-chapter","venue":"World Scientific series in finance","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Portfolio; Econometrics; Mathematics; Computer science; Economics; Statistics; Financial economics","score_opus":0.044859567445968175,"score_gpt":0.33397426988385603,"score_spread":0.28911470243788784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399828835","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23361176,0.023775157,0.60933673,0.023866683,0.001005992,0.00012128048,0.0011954332,0.00035508137,0.1067319],"genre_scores_gemma":[0.91455585,0.014663938,0.051704727,0.0015797457,0.0009383207,0.00011865211,0.0003169009,0.00021673818,0.015905006],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9891712,0.005999065,0.0007449325,0.0012453086,0.0022254747,0.0006140986],"domain_scores_gemma":[0.79271144,0.1883604,0.008840623,0.0060432493,0.0032860714,0.0007582156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022386493,0.0011314702,0.0015585895,0.001308597,0.0006791988,0.0049926103,0.0014183141,0.003143562,0.0065206364],"category_scores_gemma":[0.16790317,0.0010474575,0.0011535842,0.0020724405,0.0027756328,0.0064533344,0.0031368374,0.0050718402,0.00081511005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043094403,0.00012766854,0.025457956,0.0003300706,0.00035417228,0.00032722473,0.00048926845,0.1669244,0.0007701866,0.68552244,0.0045150938,0.11475052],"study_design_scores_gemma":[0.000060377588,0.00014394696,0.011842448,0.00025367315,0.00018021962,0.00021453455,0.00017833742,0.12121275,0.0014254623,0.8603644,0.004033777,0.00009006793],"about_ca_topic_score_codex":0.0054240795,"about_ca_topic_score_gemma":0.0033422762,"teacher_disagreement_score":0.022386493,"about_ca_system_score_codex":0.0022391747,"about_ca_system_score_gemma":0.0015759725,"threshold_uncertainty_score":0.11839247},"labels":[],"label_agreement":null},{"id":"W4399828843","doi":"10.1142/9789811285530_0016","title":"EFFICIENCY OF THE MARKET FOR RACETRACK BETTING","year":2024,"lang":"en","type":"book-chapter","venue":"World Scientific series in finance","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Market efficiency; Economics; Computer science; Financial economics","score_opus":0.025228908164406892,"score_gpt":0.2113474385553464,"score_spread":0.1861185303909395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399828843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7663329,0.00018184086,0.19910984,0.0006449524,0.000037160204,0.00016937732,0.0003119738,0.0008659928,0.032346006],"genre_scores_gemma":[0.97400486,0.000046100296,0.02132131,0.000047123063,0.000017742883,0.000053904678,0.00020098122,0.00008980716,0.004218106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99749595,0.0007675535,0.00016319808,0.00040953327,0.0009555565,0.00020818802],"domain_scores_gemma":[0.98202515,0.012183805,0.0017408552,0.0026354,0.0010979975,0.0003167845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057155923,0.00035345004,0.001008812,0.0014420082,0.00085304125,0.004378209,0.0014923583,0.0010055897,0.014351727],"category_scores_gemma":[0.029324813,0.00046165273,0.00063052675,0.0010864442,0.0018428311,0.004697536,0.0020509749,0.00077378115,0.0015334426],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016729188,0.000697671,0.055630635,0.00032473812,0.00022768395,0.00073862734,0.00059717544,0.35097453,0.03833779,0.33073062,0.0053482596,0.21471925],"study_design_scores_gemma":[0.00008293286,0.00032991325,0.014006913,0.000018440589,0.00003151248,0.00039475542,0.0001414018,0.9068784,0.010030978,0.065150246,0.0028873764,0.000047107576],"about_ca_topic_score_codex":0.001188554,"about_ca_topic_score_gemma":0.0011706777,"teacher_disagreement_score":0.014351727,"about_ca_system_score_codex":0.0014281274,"about_ca_system_score_gemma":0.0013495911,"threshold_uncertainty_score":0.048011303},"labels":[],"label_agreement":null},{"id":"W4399828862","doi":"10.1142/9789811285530_0014","title":"Time to wealth goals in capital accumulation","year":2024,"lang":"en","type":"book-chapter","venue":"World Scientific series in finance","topic":"State Capitalism and Financial Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Dalhousie University","funders":"","keywords":"Capital (architecture); Economics; Business; Natural resource economics; History; Ancient history","score_opus":0.02099444844303154,"score_gpt":0.23745074934542662,"score_spread":0.2164563009023951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399828862","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18230623,0.0033008389,0.75785005,0.0033334063,0.00015124703,0.00014945873,0.0001553144,0.0001856489,0.0525679],"genre_scores_gemma":[0.9503165,0.0012962641,0.03682644,0.00013063486,0.000086712826,0.00014914999,0.000067046036,0.00006134873,0.011065906],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984761,0.0007013732,0.000058244023,0.00029946267,0.0002208733,0.00024399765],"domain_scores_gemma":[0.9960995,0.0025927734,0.00051388884,0.00017892326,0.00025843058,0.00035649445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034023232,0.0010621349,0.0009409367,0.00087926356,0.0007185014,0.0030304787,0.0010643551,0.0018186484,0.0034251823],"category_scores_gemma":[0.013557646,0.00064884365,0.00072116824,0.0008262939,0.0030852435,0.006802472,0.0019662648,0.0017028351,0.00030413189],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106895335,0.000058605543,0.001043664,0.00009555745,0.00004345026,0.00014168612,0.00022882415,0.21208854,0.00056025444,0.7612739,0.0007170289,0.023641655],"study_design_scores_gemma":[0.00003626902,0.00018910573,0.0007445299,0.00007217992,0.000038872033,0.00006247712,0.00010965537,0.25634927,0.00069398043,0.7385444,0.0031298783,0.00002936421],"about_ca_topic_score_codex":0.0022563513,"about_ca_topic_score_gemma":0.0018879771,"teacher_disagreement_score":0.0034251823,"about_ca_system_score_codex":0.0034247653,"about_ca_system_score_gemma":0.002082494,"threshold_uncertainty_score":0.02484852},"labels":[],"label_agreement":null},{"id":"W4399828878","doi":"10.1142/9789811285530_0003","title":"Bounds on the Expectation of a Convex Function of a Random Variable: With Applications to Stochastic Programming","year":2024,"lang":"en","type":"book-chapter","venue":"World Scientific series in finance","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Memorial University of Newfoundland","funders":"","keywords":"Mathematics; Regular polygon; Mathematical optimization; Stochastic programming; Computer science; Applied mathematics; Geometry","score_opus":0.04024615125682853,"score_gpt":0.2968698768504999,"score_spread":0.2566237255936714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399828878","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023802514,0.018642137,0.9356844,0.0010556014,0.00051783724,0.000018422692,0.00006376432,0.00016909104,0.041468546],"genre_scores_gemma":[0.23873238,0.07637844,0.6071368,0.0019483619,0.0060361153,0.00036442812,0.00044337934,0.0013371179,0.06762305],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99858725,0.0004142527,0.0000667224,0.00024124025,0.0005991671,0.00009150006],"domain_scores_gemma":[0.9956328,0.003442999,0.00016195318,0.00026064127,0.0004102485,0.00009119829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030183971,0.0022270975,0.0012264707,0.001770496,0.0005391971,0.0023875195,0.0013504197,0.0013060215,0.005674687],"category_scores_gemma":[0.009863384,0.00063557574,0.0010165506,0.003199071,0.002786923,0.004322247,0.0021494923,0.0052755633,0.0022710639],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043810865,0.000045914094,0.00015772897,0.00036222782,0.00005175886,0.00014946188,0.00017774124,0.09014917,0.0023318315,0.77934664,0.012745841,0.11443791],"study_design_scores_gemma":[0.0000060803445,0.00005077327,0.00033882,0.00020605302,0.000027535902,0.00015541763,0.000039365572,0.17293298,0.0015856377,0.77984524,0.044766996,0.000045119465],"about_ca_topic_score_codex":0.0011597842,"about_ca_topic_score_gemma":0.00089654245,"teacher_disagreement_score":0.005674687,"about_ca_system_score_codex":0.0015950729,"about_ca_system_score_gemma":0.00068918156,"threshold_uncertainty_score":0.018983722},"labels":[],"label_agreement":null},{"id":"W4399828896","doi":"10.1142/9789811285530_0011","title":"CONCEPTS, TECHNICAL ISSUES, AND USES OF THE RUSSELL-YASUDA KASAI FINANCIAL PLANNING MODEL","year":2024,"lang":"en","type":"book-chapter","venue":"World Scientific series in finance","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Economics; Operations research; Engineering","score_opus":0.031659763693840194,"score_gpt":0.25467411607718426,"score_spread":0.22301435238334408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399828896","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004179812,0.0053358963,0.8334772,0.0033361837,0.00031832964,0.000056421748,0.0002635093,0.00030881236,0.15272383],"genre_scores_gemma":[0.36775842,0.023558492,0.5201476,0.00147215,0.0006103495,0.00049490295,0.0006115719,0.0003902718,0.08495625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993383,0.00023747105,0.000035050307,0.00008670402,0.00025653734,0.000045944635],"domain_scores_gemma":[0.99937445,0.0003867098,0.00005362985,0.00006391294,0.0000861153,0.000035180004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015925257,0.0009829219,0.00045343762,0.0009539207,0.0006795621,0.0027894687,0.0016184656,0.0009261871,0.0060239844],"category_scores_gemma":[0.002204559,0.00060290896,0.0008676366,0.0017610899,0.0019925865,0.004082393,0.0010962955,0.0031741986,0.0015228312],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003316231,0.0000055910004,0.000042833177,0.000026094853,0.000003849842,0.0000389628,0.00006960883,0.013964712,0.000080353355,0.97293067,0.001727278,0.011106777],"study_design_scores_gemma":[0.000003733743,0.000014758157,0.000100104364,0.00006458098,0.000009046881,0.00016031605,0.000066876855,0.054440144,0.00027699603,0.88705164,0.057785004,0.00002669148],"about_ca_topic_score_codex":0.004907217,"about_ca_topic_score_gemma":0.0029017585,"teacher_disagreement_score":0.0060239844,"about_ca_system_score_codex":0.0020514757,"about_ca_system_score_gemma":0.0019934191,"threshold_uncertainty_score":0.020152211},"labels":[],"label_agreement":null},{"id":"W4399828899","doi":"10.1142/9789811285530_bmatter","title":"BACK MATTER","year":2024,"lang":"en","type":"paratext","venue":"World Scientific series in finance","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science","score_opus":0.019383489133236606,"score_gpt":0.270625457369022,"score_spread":0.2512419682357854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399828899","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00027620446,0.0011654238,0.00032942474,0.009344976,0.015564962,0.000074985444,0.004800955,0.0011359612,0.9673072],"genre_scores_gemma":[0.00041377902,0.00021411032,0.000056464836,0.0009154447,0.00042693902,0.000012249763,0.00064021687,0.00012123011,0.99719954],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99936384,0.00005382973,0.00002477234,0.00013064474,0.000287335,0.00013952852],"domain_scores_gemma":[0.99868494,0.00013848765,0.00005569735,0.00015501588,0.00046123256,0.00050464703],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006216529,0.0013898681,0.0011252124,0.0019022666,0.0021388207,0.008423784,0.0012847137,0.0038452079,0.9183395],"category_scores_gemma":[0.0040293345,0.00050840725,0.0010423523,0.0014984123,0.0010583315,0.0021565484,0.0026982054,0.003098374,0.9189013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033012006,0.000025202215,0.000041507978,0.000060611925,0.0000027088033,0.000021663825,0.000006532367,0.000026224732,0.000088806766,0.0018321701,0.96630347,0.031558055],"study_design_scores_gemma":[0.000011824726,0.000009618276,0.00013654657,0.00005805765,0.0000021491733,0.000019517274,0.000015338068,0.00003869949,0.0000865002,0.0013756511,0.99824214,0.000004038587],"about_ca_topic_score_codex":0.00431427,"about_ca_topic_score_gemma":0.0069252,"teacher_disagreement_score":0.08166051,"about_ca_system_score_codex":0.0017804955,"about_ca_system_score_gemma":0.0024718998,"threshold_uncertainty_score":0.11647874},"labels":[],"label_agreement":null},{"id":"W4399828950","doi":"10.1142/9789811285530_0008","title":"A DYNAMIC INVESTMENT MODEL WITH CONTROL ON THE PORTFOLIO’S WORST CASE OUTCOME","year":2024,"lang":"en","type":"book-chapter","venue":"World Scientific series in finance","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Portfolio; Outcome (game theory); Investment (military); Investment portfolio; Control (management); Economics; Econometrics; Computer science; Financial economics; Mathematical economics; Political science; Management","score_opus":0.03396060511361121,"score_gpt":0.22032430032986433,"score_spread":0.18636369521625312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399828950","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06597591,0.0035191705,0.8310881,0.0046338434,0.00036623888,0.000084436164,0.00072932884,0.00025325888,0.09334973],"genre_scores_gemma":[0.86034447,0.0033275653,0.045985416,0.00046158413,0.0004049299,0.00028124236,0.00053014816,0.00010217222,0.088562526],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937963,0.00018508297,0.000025895726,0.00018782933,0.00012445974,0.000097133845],"domain_scores_gemma":[0.9993874,0.0003333531,0.0001081389,0.00004121018,0.000052805575,0.00007709302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013191603,0.0013012146,0.00102461,0.0003985893,0.00044034995,0.002979779,0.001591767,0.0027978136,0.0060321297],"category_scores_gemma":[0.002221528,0.00053264137,0.00084944925,0.0007610966,0.0013433791,0.0027871644,0.0011101993,0.002323838,0.00068590144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006334626,0.000068163004,0.00033161358,0.00008578894,0.000056876008,0.00030818698,0.000066957924,0.56650716,0.0011127539,0.4169178,0.0030590217,0.011422359],"study_design_scores_gemma":[0.00003563828,0.00007415341,0.00020774,0.000024595256,0.000029093224,0.0001072788,0.000019417004,0.78280103,0.00026086543,0.2117422,0.0046742307,0.000023760509],"about_ca_topic_score_codex":0.0021825067,"about_ca_topic_score_gemma":0.0016212312,"teacher_disagreement_score":0.0060321297,"about_ca_system_score_codex":0.001338616,"about_ca_system_score_gemma":0.0010470254,"threshold_uncertainty_score":0.02017951},"labels":[],"label_agreement":null},{"id":"W4399828952","doi":"10.1142/9789811285530_0012","title":"The Innovest Austrian Pension Fund Financial Planning Model InnoALM: OR PRACTICE","year":2024,"lang":"en","type":"book-chapter","venue":"World Scientific series in finance","topic":"State Capitalism and Financial Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pension; Pension fund; Business; Finance; Actuarial science; Economics; Financial system","score_opus":0.0559860291143382,"score_gpt":0.26851149092943793,"score_spread":0.21252546181509974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399828952","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03626317,0.0006620987,0.8369949,0.0020658872,0.0001331654,0.00022897456,0.002950283,0.0021252078,0.118576296],"genre_scores_gemma":[0.47084957,0.0010497838,0.49301705,0.000358783,0.000094928146,0.0006615813,0.0032550464,0.0005055381,0.030207856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994931,0.00018199455,0.000030315505,0.000095580785,0.0001433798,0.000055703313],"domain_scores_gemma":[0.99960977,0.00013526548,0.000056034576,0.00007395443,0.00008751813,0.000037533937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011064389,0.0006092681,0.000432057,0.00057401095,0.00039626757,0.0020481572,0.0010512437,0.0008517705,0.008386312],"category_scores_gemma":[0.0020989298,0.0004221027,0.00071802124,0.0005285476,0.0004340821,0.0014361419,0.0013376507,0.0010293135,0.0015674462],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037894155,0.00003233096,0.00073944044,0.0000660371,0.000016015047,0.0001099554,0.000070168,0.8842905,0.000345791,0.075773045,0.005018987,0.03349986],"study_design_scores_gemma":[0.000021263104,0.000021456459,0.00015224378,0.000037641745,0.0000071546806,0.000061751205,0.000020966716,0.94358844,0.0004028732,0.031472415,0.02420182,0.000011983662],"about_ca_topic_score_codex":0.01026726,"about_ca_topic_score_gemma":0.008049474,"teacher_disagreement_score":0.01026726,"about_ca_system_score_codex":0.0017423774,"about_ca_system_score_gemma":0.0023436372,"threshold_uncertainty_score":0.028055012},"labels":[],"label_agreement":null},{"id":"W4399828953","doi":"10.1142/9789811285530_0010","title":"FORMULATION OF THE RUSSELL-YASUDA KASAI FINANCIAL PLANNING MODEL","year":2024,"lang":"en","type":"book-chapter","venue":"World Scientific series in finance","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Economics; Finance","score_opus":0.03161348756395875,"score_gpt":0.22820041136605573,"score_spread":0.19658692380209697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399828953","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016024467,0.0013042234,0.82945275,0.0034811348,0.00014037003,0.0002539982,0.0017129361,0.00034105964,0.14728908],"genre_scores_gemma":[0.59723055,0.003744399,0.31667742,0.0006562256,0.00018383907,0.0012898055,0.0014923395,0.0001563335,0.07856907],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99953556,0.00018451718,0.000020262414,0.000077063436,0.00011826827,0.00006435385],"domain_scores_gemma":[0.99964106,0.00017586925,0.000051286464,0.00001691169,0.000074167016,0.000040842406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010234568,0.00079601357,0.00058346,0.00052982505,0.00055882207,0.0021168392,0.0018872037,0.0015960808,0.011450177],"category_scores_gemma":[0.0013400466,0.00054178666,0.00074008096,0.001113149,0.0007677612,0.0015191343,0.0011475092,0.0016163867,0.001359942],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022617029,0.000022139971,0.0002045418,0.00005665395,0.000011099909,0.00018152913,0.00010067674,0.43984035,0.00023994755,0.54573756,0.0036073641,0.009975599],"study_design_scores_gemma":[0.000026565478,0.000034994137,0.00016314349,0.000040261875,0.000015300875,0.000107667984,0.000078418474,0.8056682,0.000208909,0.17661734,0.017009573,0.000029701232],"about_ca_topic_score_codex":0.009736775,"about_ca_topic_score_gemma":0.0077786483,"teacher_disagreement_score":0.011450177,"about_ca_system_score_codex":0.002087405,"about_ca_system_score_gemma":0.0032510539,"threshold_uncertainty_score":0.038304627},"labels":[],"label_agreement":null},{"id":"W4399828955","doi":"10.1142/9789811285530_0017","title":"Arbitrage Strategies for Cross-Track Betting on Major Horse Races","year":2024,"lang":"en","type":"book-chapter","venue":"World Scientific series in finance","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Arbitrage; Track (disk drive); Computer science; Econometrics; Economics; Financial economics","score_opus":0.03536943301267867,"score_gpt":0.2584600721645305,"score_spread":0.22309063915185182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399828955","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20857331,0.005459211,0.6325173,0.0017098482,0.0003222813,0.00020565586,0.00022096734,0.00029978305,0.15069169],"genre_scores_gemma":[0.86496097,0.001865319,0.032125946,0.00013782493,0.00017918354,0.0000965752,0.00019249179,0.00011239774,0.10032928],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99963295,0.00011285562,0.000023989947,0.00005398696,0.000098892364,0.0000773844],"domain_scores_gemma":[0.9988464,0.00081456074,0.00008834328,0.0000914724,0.000072534254,0.00008669623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012601466,0.0008178182,0.00080244977,0.0005482626,0.0006547421,0.0022507738,0.0015238937,0.0015037268,0.021648964],"category_scores_gemma":[0.004856703,0.0005169494,0.0009829205,0.0005584839,0.000643708,0.0030245304,0.0015538157,0.0016202704,0.0009372851],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018992923,0.00013109086,0.0013168585,0.00012766893,0.00006174985,0.0003585746,0.00042011586,0.1934547,0.0026775082,0.7043896,0.006623917,0.09024835],"study_design_scores_gemma":[0.0000257956,0.000082233906,0.0007674511,0.00003489652,0.000021712545,0.00014539716,0.00008664559,0.67179936,0.0005458237,0.32242766,0.0040427586,0.000020304977],"about_ca_topic_score_codex":0.0011223519,"about_ca_topic_score_gemma":0.0013301856,"teacher_disagreement_score":0.021648964,"about_ca_system_score_codex":0.00090317824,"about_ca_system_score_gemma":0.0005445124,"threshold_uncertainty_score":0.07242304},"labels":[],"label_agreement":null},{"id":"W4399828963","doi":"10.1142/9789811285530_0009","title":"A BANK ASSET AND LIABILITY MANAGEMENT MODEL","year":2024,"lang":"en","type":"book-chapter","venue":"World Scientific series in finance","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Concordia University","funders":"","keywords":"Liability; Business; Asset (computer security); Actuarial science; Finance; Computer science; Computer security","score_opus":0.02566531700078999,"score_gpt":0.21117316307563752,"score_spread":0.18550784607484752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399828963","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.102330476,0.0015396299,0.73769933,0.0076795314,0.00023719817,0.0003153542,0.0047791605,0.00082270906,0.14459664],"genre_scores_gemma":[0.7812576,0.0014878856,0.07249104,0.0005455531,0.00018596325,0.00075513305,0.0014606115,0.0001059898,0.14171015],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938226,0.00020376508,0.000028878407,0.000151844,0.00013605303,0.000097246804],"domain_scores_gemma":[0.9993248,0.00030854193,0.00010861053,0.000034866498,0.00012908342,0.0000940178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009139072,0.00074625335,0.0006898886,0.0006854535,0.0006892003,0.0022202653,0.0020365578,0.0026368292,0.014229842],"category_scores_gemma":[0.001556293,0.0006055511,0.00072261045,0.0012193723,0.0008255363,0.0020450815,0.0010203229,0.0015650905,0.00196206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004830625,0.000058844544,0.0004431172,0.000049159986,0.000022847742,0.0002354278,0.00007292614,0.8461503,0.00047791572,0.14057553,0.003723879,0.00814181],"study_design_scores_gemma":[0.000031000676,0.000031338353,0.00017720387,0.000013004503,0.000011646849,0.00007554334,0.000028121649,0.9572425,0.00011248434,0.036993768,0.0052728555,0.00001056549],"about_ca_topic_score_codex":0.012080457,"about_ca_topic_score_gemma":0.006089842,"teacher_disagreement_score":0.014229842,"about_ca_system_score_codex":0.0018810941,"about_ca_system_score_gemma":0.0029511633,"threshold_uncertainty_score":0.047603548},"labels":[],"label_agreement":null},{"id":"W591990124","doi":"10.1142/8467","title":"Calendar Anomalies and Arbitrage","year":2012,"lang":"en","type":"book","venue":"World Scientific series in finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Arbitrage; Financial economics; Futures contract; Equity (law); Risk arbitrage; Stock (firearms); Economics; Business; Arbitrage pricing theory; Geography; Capital asset pricing model; Political science","score_opus":0.026127979587873044,"score_gpt":0.20164046843454544,"score_spread":0.1755124888466724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W591990124","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0107173165,0.13409968,0.054461032,0.016024958,0.007084724,0.00006836841,0.0008866346,0.00068440277,0.77597284],"genre_scores_gemma":[0.32410124,0.08039622,0.017021663,0.0044141635,0.011405136,0.00014094567,0.0010831562,0.00076426344,0.56067324],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99918216,0.00014942986,0.00005642724,0.00013452159,0.00041006718,0.00006729503],"domain_scores_gemma":[0.99888164,0.0006094558,0.00013701875,0.00017003072,0.00014656989,0.00005523517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097488123,0.00061118096,0.0005153865,0.0011826898,0.00070977386,0.0034162838,0.0006089877,0.0012494631,0.020689806],"category_scores_gemma":[0.006450198,0.00031403173,0.00049022964,0.002006458,0.0015452058,0.0041327234,0.0012877482,0.0024266208,0.003990364],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024852729,0.000010886696,0.0006513142,0.0000722852,0.00001582498,0.00011186209,0.00021840585,0.0018268588,0.00013603538,0.8524658,0.06556993,0.07889595],"study_design_scores_gemma":[0.000008175875,0.00001872662,0.0010282516,0.00009130443,0.000010235342,0.0003137652,0.00007291013,0.0020639289,0.00013179235,0.47429714,0.5219496,0.0000142543695],"about_ca_topic_score_codex":0.0015757183,"about_ca_topic_score_gemma":0.0012187138,"teacher_disagreement_score":0.020689806,"about_ca_system_score_codex":0.0008950074,"about_ca_system_score_gemma":0.00074430095,"threshold_uncertainty_score":0.069214344},"labels":[],"label_agreement":null}]}