{"meta":{"query_hash":"af96bd3ac8f2","filters":{"venue":"Staff Analytical Notes"},"cohort_total":103,"direct_labels_cover":0,"predictions_cover":103,"exported":103,"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/af96bd3ac8f2","api":"https://metacan.xera.ac/api/v1/cohort?venue=Staff+Analytical+Notes"},"results":[{"id":"W2551687007","doi":"10.34989/san-2016-1","title":"The Complex Adjustment of the Canadian Economy to Lower Commodity Prices","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Market Dynamics and Volatility","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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Commodity; Restructuring; Economics; International economics; Economy; Macroeconomics; Market economy; Finance","score_opus":0.0415073383503104,"score_gpt":0.25011379905399556,"score_spread":0.20860646070368516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551687007","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":[0.6160055,0.004030161,0.008007972,0.053137094,0.00048313066,0.00018063255,0.008149942,0.00020229383,0.3098033],"genre_scores_gemma":[0.97234714,0.0034347484,0.0032868627,0.0016514668,0.00008557804,0.000019347139,0.0011562647,0.00004464377,0.01797388],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988551,0.000045132958,0.000020105363,0.000082194754,0.0006388908,0.000358443],"domain_scores_gemma":[0.9993635,0.00003697528,0.000077247205,0.00001997324,0.0004188196,0.00008350741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058884925,0.0003258034,0.0002713028,0.0016658185,0.002959508,0.004560837,0.0007095527,0.0007691515,0.0051607],"category_scores_gemma":[0.0021365068,0.00022602562,0.00059423747,0.0029319462,0.001649333,0.0013175294,0.0013690152,0.0013189284,0.00027791384],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017709383,0.000088120345,0.11997953,0.00037666937,0.00024027012,0.0016797772,0.0058474075,0.06989012,0.00901429,0.64082587,0.06549108,0.08638974],"study_design_scores_gemma":[0.000026974076,0.000051231265,0.58168745,0.00021291467,0.00010652776,0.00036581839,0.011781842,0.033114318,0.002311557,0.06434718,0.30564347,0.00035061504],"about_ca_topic_score_codex":0.9871001,"about_ca_topic_score_gemma":0.98812217,"teacher_disagreement_score":0.05591975,"about_ca_system_score_codex":0.05591975,"about_ca_system_score_gemma":0.04353805,"threshold_uncertainty_score":0.4057281},"labels":[],"label_agreement":null},{"id":"W2553457806","doi":"10.34989/san-2016-2","title":"Predictive Ability of Commodity Prices for the Canadian Dollar","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Market Dynamics and Volatility","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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Depreciation (economics); Liberian dollar; Economics; Us dollar; Commodity; Monetary economics; Exchange rate; Interest rate; Commodity swap; Relative price; Financial economics; Finance; Microeconomics","score_opus":0.03943950891481188,"score_gpt":0.25711598885639,"score_spread":0.2176764799415781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2553457806","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":[0.9781739,0.0003174416,0.0026181845,0.0010610976,0.000054264525,0.00003351894,0.0026236633,0.00017213255,0.014945848],"genre_scores_gemma":[0.9972687,0.0001350822,0.0005294218,0.000026798149,0.000015908887,0.000002855782,0.0013286297,0.000010267897,0.00068240485],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994136,0.00009981342,0.00002620274,0.00014154562,0.00021248736,0.000106318534],"domain_scores_gemma":[0.9945241,0.0025224837,0.0007014464,0.00042559975,0.0015028217,0.0003235406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020296662,0.00047936323,0.0003351996,0.0015725243,0.0006418197,0.0021159449,0.0006716051,0.00047314612,0.003206216],"category_scores_gemma":[0.0181492,0.00016812708,0.00059380295,0.0014931906,0.00063950097,0.0008411622,0.00089549745,0.0008827654,0.00047309362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004442965,0.00007241495,0.7979241,0.000041249936,0.0002845635,0.00020181268,0.00043466568,0.13389699,0.0007138053,0.008213362,0.008594516,0.0491782],"study_design_scores_gemma":[0.000026822188,0.000042429656,0.5810332,0.000046837784,0.00007907802,0.00005876769,0.000533951,0.4084104,0.0006319638,0.005005273,0.004037,0.00009436432],"about_ca_topic_score_codex":0.7771783,"about_ca_topic_score_gemma":0.654509,"teacher_disagreement_score":0.22282171,"about_ca_system_score_codex":0.0033870845,"about_ca_system_score_gemma":0.0034844524,"threshold_uncertainty_score":0.44826788},"labels":[],"label_agreement":null},{"id":"W2563695611","doi":"10.34989/san-2016-3","title":"Canadian Labour Market Dispersion: Mind the (Shrinking) Gap","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Resizing; Economics; Recession; Dispersion (optics); Financial crisis; Monetary economics; Witness; Labour economics; International economics; Macroeconomics; European union; Political science","score_opus":0.02814895346416977,"score_gpt":0.23988637268696034,"score_spread":0.21173741922279057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563695611","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":[0.33545354,0.03095484,0.0018112765,0.19302306,0.0019513315,0.00013174345,0.03307685,0.00033642817,0.40326098],"genre_scores_gemma":[0.9240396,0.014660442,0.0019073641,0.010025955,0.00044332093,0.00006335616,0.008078438,0.00017255987,0.040608883],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9974322,0.00016510795,0.00007482849,0.00030452653,0.001300383,0.0007231192],"domain_scores_gemma":[0.99359107,0.00032713616,0.00036090903,0.0002779667,0.004200674,0.0012422675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00205097,0.0005078362,0.00060762867,0.004818363,0.010927918,0.0051110615,0.0016050624,0.0010138366,0.01694261],"category_scores_gemma":[0.009092045,0.000270913,0.0006187995,0.011258629,0.0021044791,0.0020314897,0.002465805,0.0018642695,0.0011056255],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002724723,0.00006662095,0.17821673,0.0005880462,0.00016020435,0.0004482419,0.024865499,0.001603464,0.00045773463,0.09438984,0.47498524,0.22394587],"study_design_scores_gemma":[0.000045384808,0.000034891047,0.43505406,0.00077676395,0.00007913387,0.00017427234,0.022989033,0.0012578872,0.00025465843,0.008246706,0.53092825,0.00015900792],"about_ca_topic_score_codex":0.9979372,"about_ca_topic_score_gemma":0.9983839,"teacher_disagreement_score":0.10496574,"about_ca_system_score_codex":0.10496574,"about_ca_system_score_gemma":0.11435227,"threshold_uncertainty_score":0.7615833},"labels":[],"label_agreement":null},{"id":"W2915671592","doi":"10.34989/san-2016-16","title":"Comparing Forward Guidance and Neo-Fisherianism as Strategies for Escaping Liquidity Traps","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Monetary Policy and Economic Impact","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":"Bank of Canada","funders":"","keywords":"Market liquidity; Economics; Liquidity trap; Monetary economics; Liquidity risk","score_opus":0.12339791325732594,"score_gpt":0.2789332431824915,"score_spread":0.15553532992516558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915671592","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":[0.7318707,0.0077638985,0.060362574,0.02555484,0.00024808873,0.00025675996,0.00026815583,0.00017011276,0.17350471],"genre_scores_gemma":[0.9928833,0.0012654238,0.0034664231,0.000590424,0.000040573035,0.000046844514,0.00002764103,0.000016070922,0.0016632713],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975999,0.0013612431,0.00009877561,0.00019791356,0.00030184662,0.00044035036],"domain_scores_gemma":[0.98698854,0.0076076915,0.0036078044,0.0005158386,0.0005553952,0.0007248259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056063216,0.000560803,0.000816295,0.0012131197,0.0010210974,0.003955165,0.00096272974,0.0031822824,0.0074259653],"category_scores_gemma":[0.018826963,0.00023822236,0.00059522834,0.0010411816,0.0033607176,0.0042007375,0.0027914802,0.0024145527,0.00039420658],"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":[0.0020374346,0.0003988432,0.030751066,0.0005373918,0.00024097244,0.0003174739,0.003493967,0.039621163,0.0014432255,0.8263263,0.0035397406,0.091292426],"study_design_scores_gemma":[0.0005672762,0.0007247288,0.027218381,0.0003853325,0.00023017837,0.000109558656,0.0065853344,0.063368544,0.0013280228,0.8865354,0.012829812,0.00011737405],"about_ca_topic_score_codex":0.004033849,"about_ca_topic_score_gemma":0.004244877,"teacher_disagreement_score":0.0074259653,"about_ca_system_score_codex":0.0030279616,"about_ca_system_score_gemma":0.0021136657,"threshold_uncertainty_score":0.029649436},"labels":[],"label_agreement":null},{"id":"W2916459413","doi":"10.34989/san-2017-25","title":"Recent Evolution of Canada’s Credit-to-GDP Gap: Measurement and Interpretation","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Interpretation (philosophy); Economics; Computer science","score_opus":0.034081834355925475,"score_gpt":0.2901237747055854,"score_spread":0.25604194034965994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916459413","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":[0.5760989,0.055805475,0.0048779584,0.1019986,0.00081673596,0.0001156967,0.12381484,0.00047145653,0.1360003],"genre_scores_gemma":[0.9683516,0.0110249175,0.0022327898,0.0015655954,0.000139736,0.00003110106,0.010334625,0.0000858786,0.0062336843],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846494,0.00009839041,0.000060780218,0.00018971796,0.0007532852,0.00043281258],"domain_scores_gemma":[0.98874515,0.0010640929,0.0010764907,0.00020369659,0.007826769,0.0010838159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001811823,0.000347578,0.00043365525,0.00725674,0.0032659478,0.004294879,0.0012907744,0.00054122513,0.0037879038],"category_scores_gemma":[0.009679582,0.00019827645,0.00034339164,0.024113892,0.0017920118,0.0013031965,0.0017204055,0.0014053013,0.0002093794],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029337168,0.00005990686,0.53476125,0.0011152966,0.0002381072,0.000511251,0.0096209375,0.004801135,0.0006378612,0.13346341,0.15393098,0.1605666],"study_design_scores_gemma":[0.000011219968,0.000019718058,0.8515665,0.00043242748,0.000045733545,0.00010740197,0.005724277,0.0025750354,0.00053982623,0.0035046057,0.13538493,0.00008828294],"about_ca_topic_score_codex":0.9961809,"about_ca_topic_score_gemma":0.9969031,"teacher_disagreement_score":0.90518,"about_ca_system_score_codex":0.09482003,"about_ca_system_score_gemma":0.083259635,"threshold_uncertainty_score":0.6879707},"labels":[],"label_agreement":null},{"id":"W2917165027","doi":"10.34989/san-2017-23","title":"Do Liquidity Proxies Measure Liquidity in Canadian Bond Markets?","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Financial Markets and Investment Strategies","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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Market liquidity; Bond; Accounting liquidity; Liquidity crisis; Liquidity premium; Government bond; Benchmark (surveying); Measure (data warehouse); Economics; Monetary economics; Liquidity risk; Financial economics; Business; Finance; Geography; Computer science","score_opus":0.04169392525973872,"score_gpt":0.24311714413864186,"score_spread":0.20142321887890313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917165027","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":[0.93552995,0.009281688,0.0069291927,0.005597401,0.000090104084,0.00007770859,0.0063931583,0.00017102028,0.03592981],"genre_scores_gemma":[0.9957104,0.000951806,0.0013035181,0.00012024069,0.000028573533,0.000009121855,0.0007802282,0.00001432656,0.0010817681],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99839526,0.00027016274,0.00010510415,0.00016310737,0.0007637726,0.00030264407],"domain_scores_gemma":[0.9861428,0.0030775312,0.003957601,0.00064931536,0.0056826,0.00049016863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037239813,0.00043209095,0.0003494724,0.004600545,0.0013104678,0.004359318,0.0009099538,0.0005392614,0.0032187828],"category_scores_gemma":[0.03280863,0.00018150047,0.00033561865,0.006490489,0.0011058615,0.0027515995,0.00092676264,0.0005858632,0.0002962332],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004078089,0.000051107756,0.8353373,0.0002464543,0.00024474825,0.00018762615,0.0021372845,0.009747694,0.0013438566,0.033877816,0.01034948,0.106068894],"study_design_scores_gemma":[0.000069341484,0.00007553056,0.9097902,0.00033315603,0.00020847139,0.00018471744,0.0030114076,0.036628693,0.0041552526,0.014111962,0.031228088,0.00020307528],"about_ca_topic_score_codex":0.8871312,"about_ca_topic_score_gemma":0.90196586,"teacher_disagreement_score":0.112868786,"about_ca_system_score_codex":0.013407418,"about_ca_system_score_gemma":0.008905751,"threshold_uncertainty_score":0.22706693},"labels":[],"label_agreement":null},{"id":"W2917397749","doi":"10.34989/san-2017-8","title":"Wage Growth in Canada and the United States: Factors Behind Recent Weakness","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Pace; Wage; Wage growth; Economics; Weakness; Commodity; Labour economics; Development economics; Market economy; Geography; Medicine","score_opus":0.02129693329773739,"score_gpt":0.2713663925708951,"score_spread":0.2500694592731577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917397749","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":[0.8404514,0.011215842,0.0005884395,0.058526002,0.00045025107,0.000063766616,0.0064622196,0.000075843775,0.08216618],"genre_scores_gemma":[0.9850621,0.0054143285,0.00033481803,0.0017066562,0.00010601888,0.00001661796,0.0017057027,0.00003103936,0.005622539],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971904,0.0000843169,0.000093749026,0.00019936587,0.001155148,0.0012770608],"domain_scores_gemma":[0.9911069,0.00046428788,0.0009273054,0.00018091315,0.0052726287,0.002047919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023035991,0.00026049995,0.0004922234,0.003600355,0.006400363,0.0048266216,0.0012682497,0.00066268764,0.0037523697],"category_scores_gemma":[0.008345125,0.00020650437,0.00034231858,0.0097699715,0.0025444648,0.0014209719,0.0024629964,0.002311158,0.00029274978],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033462408,0.0001214045,0.6746272,0.0004231812,0.00013085672,0.0005645287,0.01967115,0.0022790586,0.00063183834,0.05378917,0.05286961,0.1945573],"study_design_scores_gemma":[0.0000084687335,0.000020491027,0.9286166,0.00030092738,0.000025746667,0.000052822383,0.015345042,0.0006423275,0.00020203309,0.0013492265,0.053399608,0.00003673588],"about_ca_topic_score_codex":0.9923861,"about_ca_topic_score_gemma":0.99567986,"teacher_disagreement_score":0.061796814,"about_ca_system_score_codex":0.061796814,"about_ca_system_score_gemma":0.094463214,"threshold_uncertainty_score":0.44836938},"labels":[],"label_agreement":null},{"id":"W2918212645","doi":"10.34989/san-2017-18","title":"Alternative Scenario to the October 2017 MPR Base-Case Projection: Higher Potential Growth","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Canadian Policy and Governance","field":"Social 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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Projection (relational algebra); Humanities; Welfare economics; Economics; Political science; Art; Mathematics","score_opus":0.04306853637157972,"score_gpt":0.32618709931233597,"score_spread":0.28311856294075627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918212645","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":[0.33655822,0.0005750809,0.018625189,0.02064628,0.0010323242,0.00046017003,0.016558575,0.00081103784,0.6047331],"genre_scores_gemma":[0.9732613,0.000368969,0.005806522,0.0014575066,0.00006223645,0.0002932462,0.0054254183,0.0001140206,0.013210769],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979011,0.00049424113,0.00004218284,0.00015307634,0.0007177784,0.000691596],"domain_scores_gemma":[0.99828184,0.00021479739,0.0001182448,0.00010640647,0.00088328257,0.0003954751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012488521,0.0006568566,0.00055927364,0.0015077622,0.0021906297,0.0043839454,0.001128389,0.0017266916,0.0105494335],"category_scores_gemma":[0.004730214,0.00034786112,0.0006781737,0.0019303636,0.0012559934,0.0016300792,0.0017065136,0.00319974,0.0016665498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024545959,0.00056572875,0.03646658,0.00036706097,0.00025131824,0.0031593414,0.00211078,0.17623046,0.004011501,0.54084176,0.20021404,0.033326812],"study_design_scores_gemma":[0.0011738319,0.00058723224,0.08846882,0.00048804915,0.00023245283,0.0013401649,0.017003307,0.2709813,0.007206247,0.17607804,0.43579784,0.0006427981],"about_ca_topic_score_codex":0.5361839,"about_ca_topic_score_gemma":0.5250352,"teacher_disagreement_score":0.98765963,"about_ca_system_score_codex":0.012340376,"about_ca_system_score_gemma":0.009615748,"threshold_uncertainty_score":0.9330952},"labels":[],"label_agreement":null},{"id":"W2918742749","doi":"","title":"Prix plafonds sur les marchés canadiens des emprunts d’obligations","year":2019,"lang":"fr","type":"article","venue":"Staff Analytical Notes","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","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":"Political science; Obligation; Humanities; Economics; Business; Art; Law","score_opus":0.07430567761327433,"score_gpt":0.31219432114306656,"score_spread":0.23788864352979222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918742749","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7891614,0.00356472,0.010903722,0.0068409904,0.0001180342,0.000073212184,0.001530053,0.000102643426,0.18770523],"genre_scores_gemma":[0.9510049,0.000981695,0.0011278032,0.00015721521,0.00004930229,0.000023024544,0.0003478304,0.000019488585,0.046288747],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998002,0.00023629269,0.0000632998,0.00023322308,0.0010649464,0.00040026105],"domain_scores_gemma":[0.9871503,0.0050861114,0.0030597232,0.00087310275,0.0026752104,0.0011555601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029609827,0.00024134161,0.000273429,0.0015142823,0.0018978809,0.0033091134,0.0006369195,0.000995093,0.022693707],"category_scores_gemma":[0.014965323,0.00029218846,0.0003553612,0.0015610058,0.0018906406,0.0019955463,0.0014962066,0.0021295585,0.0013451242],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007589123,0.00016221912,0.37307325,0.0002378058,0.000244778,0.0011976133,0.013346791,0.0116999615,0.0045011863,0.3970513,0.022174926,0.17555119],"study_design_scores_gemma":[0.00003908946,0.000285762,0.63873816,0.00037155245,0.00014383315,0.0010638864,0.009745776,0.012310166,0.00528755,0.07454951,0.25726238,0.00020239863],"about_ca_topic_score_codex":0.12402558,"about_ca_topic_score_gemma":0.18560414,"teacher_disagreement_score":0.8759744,"about_ca_system_score_codex":0.006102581,"about_ca_system_score_gemma":0.0034299335,"threshold_uncertainty_score":0.24660736},"labels":[],"label_agreement":null},{"id":"W2918946359","doi":"10.34989/san-2018-7","title":"Did Canadian Corporate Bond Funds Increase their Exposures to Risks?","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Political science; Exposition (narrative); Economics; Welfare economics; Art","score_opus":0.07790253191271629,"score_gpt":0.25220818521522426,"score_spread":0.17430565330250797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918946359","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":[0.7156985,0.014870022,0.0006097326,0.10553055,0.00046335807,0.00010936925,0.0060616722,0.00007454366,0.15658228],"genre_scores_gemma":[0.9810791,0.004734019,0.00026155717,0.0025997395,0.00018710412,0.000011500505,0.00051109365,0.000014032917,0.010601838],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981085,0.00015647167,0.00004105058,0.00014157436,0.0009126055,0.0006397522],"domain_scores_gemma":[0.992434,0.0010175449,0.0015805453,0.00030885974,0.0033064177,0.0013525389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023488968,0.0002443898,0.00029539134,0.0014146112,0.0025570248,0.0043256637,0.0009317469,0.0015894315,0.011131262],"category_scores_gemma":[0.018445266,0.000198819,0.00044069364,0.0021309159,0.0012339895,0.0016858685,0.0008382661,0.0016258399,0.00041370615],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011481624,0.00018101552,0.61716086,0.00034540184,0.00024384227,0.0010596637,0.010331816,0.001753408,0.0018638337,0.12868698,0.08136745,0.15585761],"study_design_scores_gemma":[0.00014985875,0.000111029716,0.7984598,0.00033204554,0.00027030587,0.00046168195,0.007351267,0.001356385,0.0010550217,0.009097714,0.18123257,0.00012226835],"about_ca_topic_score_codex":0.97433347,"about_ca_topic_score_gemma":0.9795569,"teacher_disagreement_score":0.04616968,"about_ca_system_score_codex":0.04616968,"about_ca_system_score_gemma":0.032490894,"threshold_uncertainty_score":0.3349861},"labels":[],"label_agreement":null},{"id":"W2919019907","doi":"10.34989/san-2019-1","title":"The Secular Decline of Forecasted Interest Rates","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Secular variation; Interest rate; Econometrics; Economics; Geography; Demography; Sociology; Monetary economics","score_opus":0.12918962797524514,"score_gpt":0.28310560753011366,"score_spread":0.15391597955486852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919019907","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":[0.77892333,0.010194012,0.010127616,0.03974135,0.00048661715,0.00004712416,0.048975248,0.0009751264,0.110529505],"genre_scores_gemma":[0.981149,0.001948617,0.001584278,0.0008565301,0.00006647033,0.0000073159954,0.008098999,0.00005984022,0.00622898],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988325,0.000052522144,0.000044369775,0.00020939989,0.0007077299,0.00015333749],"domain_scores_gemma":[0.99103314,0.00052167097,0.000822554,0.00021450124,0.007067004,0.00034097655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022295744,0.0003170061,0.00035539188,0.0011229187,0.0009373432,0.0031859027,0.0007725721,0.0005549653,0.0036195903],"category_scores_gemma":[0.010795265,0.00021982842,0.00028158375,0.0021378014,0.0005777618,0.0012091554,0.0005218635,0.0016393992,0.00094671483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045491348,0.00004544551,0.6450222,0.00048491487,0.00019008925,0.00030361756,0.0037701551,0.015457348,0.0036547226,0.028780442,0.13299479,0.16884133],"study_design_scores_gemma":[0.000010272712,0.000033534718,0.90970904,0.00013312853,0.00002870566,0.00008487048,0.00086568674,0.010547042,0.0012675578,0.0015887537,0.07567313,0.0000582408],"about_ca_topic_score_codex":0.94219923,"about_ca_topic_score_gemma":0.9259437,"teacher_disagreement_score":0.94219923,"about_ca_system_score_codex":0.015285397,"about_ca_system_score_gemma":0.015811333,"threshold_uncertainty_score":0.116282284},"labels":[],"label_agreement":null},{"id":"W2919178127","doi":"10.34989/san-2018-4","title":"Is the Excess Bond Premium a Leading Indicator of Canadian Economic Activity?","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Basis point; Economics; Gross domestic product; Bond; Monetary economics; Corporate bond; Percentage point; Index (typography); Excess return; Risk premium; Real gross domestic product; Interest rate; Macroeconomics; Finance; Geography","score_opus":0.08571458040410122,"score_gpt":0.26476824901350854,"score_spread":0.1790536686094073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919178127","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":[0.90901345,0.0066996976,0.00082499336,0.012583816,0.00018770083,0.000039500632,0.0141114555,0.000069621,0.056469824],"genre_scores_gemma":[0.992153,0.002742531,0.00031385437,0.00024981904,0.00006623536,0.0000035743549,0.0020693901,0.00000953085,0.0023920625],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993851,0.0000300385,0.000030478557,0.00006353992,0.00035364463,0.0001371855],"domain_scores_gemma":[0.99227494,0.00062922,0.0021808238,0.00020043067,0.0037586577,0.0009559245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000877439,0.00023607661,0.0002384769,0.003173808,0.0010234992,0.0022212795,0.0005768069,0.00041479745,0.0039466457],"category_scores_gemma":[0.009132737,0.00010641456,0.00024501275,0.0050375736,0.00074288086,0.00076669705,0.00056075,0.0007429945,0.00026085833],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079225756,0.000020529824,0.9507709,0.000067096975,0.000055139117,0.00008644244,0.000406962,0.0005598834,0.0002598845,0.0045810435,0.008631155,0.034481786],"study_design_scores_gemma":[0.0000043859077,0.000010589456,0.9898443,0.00004029304,0.000035060588,0.000048173384,0.0006310479,0.0010895354,0.00023555734,0.0005370049,0.0075042853,0.000019691324],"about_ca_topic_score_codex":0.9766499,"about_ca_topic_score_gemma":0.9815927,"teacher_disagreement_score":0.02335012,"about_ca_system_score_codex":0.014538099,"about_ca_system_score_gemma":0.013970883,"threshold_uncertainty_score":0.1054818},"labels":[],"label_agreement":null},{"id":"W2919290679","doi":"10.34989/san-2018-34","title":"Characterizing the Canadian Financial Cycle with Frequency Filtering Approaches","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","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":"Multivariate statistics; Econometrics; Business cycle; Computer science; Term (time); Economics; Mathematics; Statistics; Macroeconomics; Physics","score_opus":0.058167289149329,"score_gpt":0.20638880371577722,"score_spread":0.14822151456644822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919290679","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":[0.20066382,0.0027657072,0.72975945,0.0018132416,0.00025449554,0.0003350496,0.006509285,0.00084054196,0.057058416],"genre_scores_gemma":[0.84392613,0.0024019568,0.13717979,0.00027221016,0.00018413499,0.00018774865,0.0047758752,0.00013519831,0.010936999],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993193,0.000085445485,0.00003480561,0.00015698484,0.00028251664,0.00012096006],"domain_scores_gemma":[0.99857223,0.00044153936,0.00026106695,0.00013589271,0.0005303055,0.000058946436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011228663,0.000668479,0.00038691342,0.0043260907,0.0010979536,0.00229616,0.0006268859,0.0005050958,0.0029712191],"category_scores_gemma":[0.005821314,0.00020107834,0.0007734575,0.0049541453,0.00046022228,0.0008789444,0.0004906981,0.00067068345,0.00038039152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018270803,0.000073780946,0.09550687,0.0002346944,0.00028470153,0.00021960412,0.0010202879,0.22311501,0.0028629133,0.123141125,0.013989236,0.53936905],"study_design_scores_gemma":[0.00002640908,0.000049285278,0.1927205,0.00013905801,0.00015983453,0.00015750951,0.0006962077,0.7031175,0.002198883,0.044676825,0.055846594,0.00021142329],"about_ca_topic_score_codex":0.77484953,"about_ca_topic_score_gemma":0.7389984,"teacher_disagreement_score":0.22515047,"about_ca_system_score_codex":0.0060453326,"about_ca_system_score_gemma":0.006410436,"threshold_uncertainty_score":0.4529528},"labels":[],"label_agreement":null},{"id":"W2919324349","doi":"10.34989/san-2016-9","title":"The US Labour Market: How Much Slack Remains?","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Economic Theory and Policy","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":"Bank of Canada","funders":"","keywords":"Underemployment; NAIRU; Economics; Unemployment; Inflation (cosmology); Labour economics; Full employment; Business cycle; Unemployment rate; Macroeconomics","score_opus":0.026073531568426525,"score_gpt":0.24251243314973744,"score_spread":0.2164389015813109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919324349","genre_codex":"commentary","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":[0.14871392,0.095752545,0.0014147984,0.68764466,0.0029671306,0.000022884013,0.0026086317,0.000066058084,0.06080935],"genre_scores_gemma":[0.85027164,0.09121025,0.00061417144,0.04225263,0.00416388,0.000041286065,0.0016298657,0.00005049264,0.009765859],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991831,0.00020211788,0.000049916827,0.00008972399,0.00018339479,0.00029165545],"domain_scores_gemma":[0.99782926,0.0006059199,0.0004144403,0.00009700054,0.00045351195,0.00059980556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022199461,0.0002977466,0.00042992813,0.0018521557,0.0017137792,0.0047842204,0.0005550404,0.0014966127,0.012806291],"category_scores_gemma":[0.0054649706,0.00018869468,0.00031642153,0.003190097,0.0029074096,0.0061822636,0.0018278917,0.0019959982,0.0015177304],"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":[0.00034528598,0.00012547767,0.062667854,0.0011496192,0.00008160613,0.0005326521,0.0064755487,0.0009762426,0.00054514274,0.17677823,0.20753708,0.5427853],"study_design_scores_gemma":[0.000044455526,0.00019839799,0.1652174,0.0052206567,0.000077432574,0.00036683716,0.04369262,0.0012777015,0.00042057308,0.262674,0.52071524,0.00009470315],"about_ca_topic_score_codex":0.030224739,"about_ca_topic_score_gemma":0.050784588,"teacher_disagreement_score":0.030224739,"about_ca_system_score_codex":0.0035541437,"about_ca_system_score_gemma":0.004750718,"threshold_uncertainty_score":0.060097635},"labels":[],"label_agreement":null},{"id":"W2919575420","doi":"10.34989/san-2017-6","title":"Downward Nominal Wage Rigidity, Inflation and Unemployment: New Evidence Using Micro‐Level Data","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Unemployment; Rigidity (electromagnetism); Wage; Inflation (cosmology); Keynesian economics; Recession; Humanities; Macroeconomics; Labour economics; Philosophy; Physics","score_opus":0.4244171505444297,"score_gpt":0.4911416295090382,"score_spread":0.06672447896460854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919575420","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":[0.95422214,0.010231715,0.0015212148,0.004978379,0.000101547535,0.00003923921,0.012776392,0.000037283004,0.016092103],"genre_scores_gemma":[0.9887645,0.0038004995,0.00041337954,0.00038638033,0.00009690584,0.000018089802,0.0051259277,0.000010660684,0.0013837003],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826247,0.00036455138,0.00014339102,0.0001939433,0.0007586782,0.00027703287],"domain_scores_gemma":[0.9785872,0.008936202,0.008033318,0.0010738956,0.0025881133,0.0007812347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021755819,0.00020700983,0.00047204623,0.0014780161,0.0008050182,0.0015984161,0.00063586264,0.00050777325,0.0042147194],"category_scores_gemma":[0.014103492,0.00028420644,0.00047242033,0.005227758,0.00067724456,0.000725249,0.0010165878,0.0011459067,0.0007143996],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024267574,0.00004791424,0.9699402,0.00025339186,0.00038176213,0.00013804571,0.0015063059,0.00068168447,0.00011519289,0.0015861887,0.0051799496,0.019926827],"study_design_scores_gemma":[0.000010206985,0.000023169316,0.99175924,0.00008443183,0.000117311676,0.000023555533,0.00093779824,0.00055735104,0.000056885274,0.0003783889,0.0060345656,0.00001713674],"about_ca_topic_score_codex":0.6646431,"about_ca_topic_score_gemma":0.77133185,"teacher_disagreement_score":0.6646431,"about_ca_system_score_codex":0.002157965,"about_ca_system_score_gemma":0.0023316704,"threshold_uncertainty_score":0.6746637},"labels":[],"label_agreement":null},{"id":"W2919600384","doi":"10.34989/san-2017-11","title":"Do Canadian Broker-Dealers Act as Agents or Principals in Bond Trading?","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Law, logistics, and international trade","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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Humanities; Political science; Business; Art","score_opus":0.09201870377089441,"score_gpt":0.3046644747928244,"score_spread":0.21264577102192997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919600384","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9521218,0.001712752,0.00066363055,0.007758054,0.00004343672,0.00007964064,0.00054854754,0.000020175079,0.03705199],"genre_scores_gemma":[0.9931114,0.0010629849,0.00033052193,0.0005968458,0.000024197405,0.000009134361,0.0001827754,0.0000043612254,0.0046778815],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962817,0.00041601853,0.00016201547,0.00043374707,0.0015072546,0.0011993052],"domain_scores_gemma":[0.9870228,0.001876028,0.006050198,0.0007206719,0.0019252416,0.0024051545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034286978,0.00021248947,0.00040018262,0.0012601424,0.004921296,0.0038606613,0.0011662418,0.001390389,0.007081687],"category_scores_gemma":[0.018536998,0.00036244682,0.00023734635,0.0024403308,0.0021537193,0.0023060532,0.0009014146,0.0010538227,0.0007697146],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020512691,0.00011718339,0.9263731,0.00006510412,0.00005785644,0.0003556,0.012835909,0.00037740832,0.00052398583,0.011310147,0.008548435,0.039230183],"study_design_scores_gemma":[0.000041488478,0.0000407328,0.95615685,0.00009640916,0.00007527295,0.0003086694,0.018556956,0.0015712689,0.000289879,0.0014440764,0.02137292,0.0000454133],"about_ca_topic_score_codex":0.94618493,"about_ca_topic_score_gemma":0.9736018,"teacher_disagreement_score":0.053815067,"about_ca_system_score_codex":0.014730233,"about_ca_system_score_gemma":0.017331861,"threshold_uncertainty_score":0.10826391},"labels":[],"label_agreement":null},{"id":"W2919775596","doi":"10.34989/san-2018-18","title":"Interest Rate and Renewal Risk for Mortgages","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Housing Market and Economics","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":"Bank of Canada","funders":"","keywords":"Interest rate; Interest rate risk; Business; Credit risk; Context (archaeology); Actuarial science; Equity (law); Finance; Political science; Geography","score_opus":0.05742483133144813,"score_gpt":0.2584163787695448,"score_spread":0.2009915474380967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919775596","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":[0.94207174,0.004642656,0.024202535,0.0034701359,0.00011852419,0.00005810315,0.00078731537,0.00013713205,0.024511952],"genre_scores_gemma":[0.99337405,0.0007295619,0.0006568302,0.00006858474,0.00012617564,0.000013561213,0.00038551792,0.00001221714,0.0046335403],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985246,0.00031743996,0.00013354485,0.00026515362,0.00044370565,0.00031546684],"domain_scores_gemma":[0.98215044,0.005127736,0.009747549,0.0008118442,0.0012183575,0.00094409013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024282627,0.00032007028,0.00041515307,0.0010302323,0.00039072993,0.0026448849,0.000842485,0.001514146,0.005485262],"category_scores_gemma":[0.022415001,0.00021545419,0.0008092055,0.00087506074,0.0010701184,0.0036968393,0.00115556,0.0030937423,0.0011773597],"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":[0.0005573694,0.00028210742,0.60690707,0.00017295685,0.00031926623,0.0020008304,0.0025179056,0.051001947,0.0023404977,0.26280364,0.0073132925,0.06378301],"study_design_scores_gemma":[0.00006055262,0.000659464,0.5136301,0.00030113122,0.00029864308,0.0038782607,0.0030366227,0.16940083,0.0029951076,0.27748278,0.027923198,0.00033338103],"about_ca_topic_score_codex":0.002494837,"about_ca_topic_score_gemma":0.0018576788,"teacher_disagreement_score":0.005485262,"about_ca_system_score_codex":0.0010026337,"about_ca_system_score_gemma":0.00033519478,"threshold_uncertainty_score":0.018350065},"labels":[],"label_agreement":null},{"id":"W2919938809","doi":"10.34989/san-2016-8","title":"Crude Oil Prices and Fixed-Asset Cash Spending in the Oil and Gas Industry: Findings from VAR Models","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Market Dynamics and Volatility","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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Humanities; Oil price; Economy; Monetary economics; Philosophy","score_opus":0.04204806980396629,"score_gpt":0.25403634206541326,"score_spread":0.21198827226144695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919938809","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":[0.9741994,0.0012868466,0.012779219,0.002139195,0.000057839185,0.000021972968,0.000713659,0.000113232076,0.0086886715],"genre_scores_gemma":[0.99651116,0.0007798819,0.0007798098,0.00008736241,0.00005268419,0.0000064345068,0.00053205923,0.000022114096,0.0012285856],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920964,0.00031288413,0.000049117963,0.00012268305,0.00015199072,0.00015370538],"domain_scores_gemma":[0.98016477,0.016129911,0.0018297256,0.0006412032,0.00082267215,0.00041172875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026949919,0.00043314626,0.0006212839,0.0009459619,0.00053378975,0.002687423,0.00073380047,0.00068924297,0.0026293797],"category_scores_gemma":[0.018037789,0.0003894438,0.0013155318,0.0017929254,0.00086022867,0.0013177785,0.0010560091,0.0016332414,0.0004883415],"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":[0.00059205806,0.00037444226,0.73609823,0.00014990088,0.0010489892,0.0005218883,0.0008621919,0.15816696,0.0011596303,0.06404642,0.0051724953,0.031806696],"study_design_scores_gemma":[0.00007882159,0.00027656252,0.29430926,0.00011673397,0.00072860625,0.00019759755,0.00203567,0.626804,0.0014165828,0.06751296,0.006394186,0.00012902175],"about_ca_topic_score_codex":0.06336709,"about_ca_topic_score_gemma":0.036737062,"teacher_disagreement_score":0.06336709,"about_ca_system_score_codex":0.00097189314,"about_ca_system_score_gemma":0.0014318342,"threshold_uncertainty_score":0.12599653},"labels":[],"label_agreement":null},{"id":"W2919960341","doi":"10.34989/san-2017-21","title":"Evaluating Real GDP Growth Forecasts in the Bank of Canada Monetary Policy Report","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Monetary policy; Economics; Real gross domestic product; Quality (philosophy); Central bank; Monetary economics; Macroeconomics","score_opus":0.10846309645853387,"score_gpt":0.30277687619524735,"score_spread":0.1943137797367135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919960341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91073996,0.0021292248,0.0064304625,0.003747666,0.00031746255,0.00012081277,0.04088747,0.0009506281,0.03467635],"genre_scores_gemma":[0.9707818,0.00076186366,0.003934839,0.000091665424,0.000036021178,0.000022672346,0.021247001,0.000052926905,0.0030712874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99551183,0.00055541383,0.00018632958,0.0003417344,0.0030852177,0.00031954836],"domain_scores_gemma":[0.9748198,0.004091753,0.0018498816,0.00069119094,0.01766804,0.00087921554],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006460192,0.00060368894,0.0004197249,0.002725466,0.0009594936,0.003626877,0.0008072739,0.00058262254,0.0020874806],"category_scores_gemma":[0.03519219,0.0003131999,0.00033563527,0.0041030007,0.0004869022,0.0011122338,0.0007374757,0.00074857345,0.00076939265],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073260133,0.00012864104,0.5011971,0.00025656357,0.00027863364,0.0003197016,0.0012613937,0.3275049,0.0007871446,0.007898268,0.06168828,0.09794679],"study_design_scores_gemma":[0.00007130528,0.000100496545,0.54964423,0.00025769704,0.0000892792,0.00006368514,0.0016761129,0.40110037,0.002526342,0.0019999424,0.042287614,0.000182849],"about_ca_topic_score_codex":0.95998913,"about_ca_topic_score_gemma":0.9389505,"teacher_disagreement_score":0.9935398,"about_ca_system_score_codex":0.018861117,"about_ca_system_score_gemma":0.021829126,"threshold_uncertainty_score":0.13684762},"labels":[],"label_agreement":null},{"id":"W2920095807","doi":"10.34989/san-2016-15","title":"The Share of Systematic Variations in the Canadian Dollar—Part I","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Liberian dollar; Us dollar; Humanities; Economics; Art; Monetary economics; Exchange rate; Finance","score_opus":0.05872581098603995,"score_gpt":0.24355560084365058,"score_spread":0.18482978985761062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920095807","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":[0.768629,0.021264486,0.0054674293,0.007457672,0.0007307801,0.00009782384,0.040635724,0.00041343964,0.15530358],"genre_scores_gemma":[0.98073673,0.0039733737,0.0005814685,0.0002827657,0.000118705466,0.000011298175,0.0060742917,0.000048767663,0.008172676],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907804,0.00003839817,0.000034576533,0.00014581037,0.00048388122,0.0002193351],"domain_scores_gemma":[0.99697006,0.00024792048,0.00068945554,0.00027334498,0.001601602,0.00021762888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007292861,0.00040269998,0.00031527667,0.0036435921,0.0012749443,0.0021320374,0.0006723641,0.0003473024,0.0051020132],"category_scores_gemma":[0.0043063113,0.00016608629,0.00039437952,0.008917076,0.0008353852,0.00048977026,0.000851915,0.0005275,0.0005775394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004083153,0.000048563445,0.5783356,0.00046613594,0.0005995358,0.0011588648,0.001724737,0.0055041616,0.00568203,0.050993133,0.08529313,0.26978588],"study_design_scores_gemma":[0.000010675852,0.000027300928,0.8882189,0.00014341036,0.00012608852,0.00074202166,0.0010512269,0.0039090216,0.002349166,0.004439008,0.09891478,0.000068509224],"about_ca_topic_score_codex":0.8530395,"about_ca_topic_score_gemma":0.8160731,"teacher_disagreement_score":0.1469605,"about_ca_system_score_codex":0.008176839,"about_ca_system_score_gemma":0.0073620025,"threshold_uncertainty_score":0.2956519},"labels":[],"label_agreement":null},{"id":"W2920301641","doi":"10.34989/san-2018-25","title":"What Is Restraining Non-Energy Export Growth? Staff Analytical Note 2018-25 (English)","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Canadian Policy and Governance","field":"Social 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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Work (physics); Energy (signal processing); Business; International trade; International economics; Economics; Engineering","score_opus":0.027481204164353956,"score_gpt":0.3130894957751155,"score_spread":0.28560829161076157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920301641","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":[0.007466236,0.030404368,0.004075128,0.3423065,0.0072491826,0.00047491534,0.025724484,0.00077364617,0.5815255],"genre_scores_gemma":[0.23821738,0.05711111,0.015381817,0.06353799,0.0035300844,0.000679931,0.011990205,0.0010002053,0.60855126],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99239254,0.0005431334,0.00022254273,0.00036084704,0.0043170936,0.0021638232],"domain_scores_gemma":[0.98184764,0.0016549056,0.00053150754,0.00032897637,0.014404016,0.0012328564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046319314,0.0007211194,0.00064212346,0.004309619,0.007156505,0.009627891,0.0024880404,0.0025716885,0.0397778],"category_scores_gemma":[0.02137554,0.00046758758,0.0007928054,0.006015484,0.0030798935,0.0030072709,0.0017757888,0.0023167501,0.006297402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025958356,0.000009311257,0.0014846362,0.0003656537,0.000009729502,0.000108971755,0.0012695172,0.00084233144,0.00013630709,0.07544061,0.89530945,0.024997506],"study_design_scores_gemma":[0.000012543398,0.0000085475185,0.0062907995,0.00093919557,0.000018841494,0.00004159339,0.0026548617,0.0006095374,0.00046545416,0.007808752,0.9811007,0.00004907807],"about_ca_topic_score_codex":0.9866555,"about_ca_topic_score_gemma":0.9864451,"teacher_disagreement_score":0.8652141,"about_ca_system_score_codex":0.13478586,"about_ca_system_score_gemma":0.24776745,"threshold_uncertainty_score":0.97794443},"labels":[],"label_agreement":null},{"id":"W2920431827","doi":"10.34989/san-2018-2","title":"Wages: Measurement and Key Drivers","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.023078873144500158,"score_gpt":0.22923888611502022,"score_spread":0.20616001297052006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920431827","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6278509,0.015248596,0.080786616,0.022649236,0.00062870036,0.0005709716,0.08358331,0.0004417368,0.16823998],"genre_scores_gemma":[0.95825833,0.003971372,0.015680267,0.0003267208,0.00020227674,0.00013497441,0.012282273,0.00010382062,0.009039928],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99497545,0.0006281934,0.00027785168,0.0006453252,0.0029370338,0.0005360795],"domain_scores_gemma":[0.99335045,0.0017141299,0.0013141135,0.0005952569,0.0026302268,0.00039583386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003316285,0.00050948444,0.00043722353,0.00409858,0.0016285084,0.0046602827,0.0012129217,0.00055039464,0.0030284107],"category_scores_gemma":[0.01952706,0.00036226376,0.00028729392,0.012815777,0.0014635797,0.0013670569,0.0016738639,0.0013204865,0.0006388162],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018056201,0.000076152486,0.52945095,0.00076749903,0.00020528628,0.00017243763,0.0066050966,0.011159239,0.0009140316,0.15084502,0.03440773,0.26521608],"study_design_scores_gemma":[0.000016711823,0.0000383624,0.82682186,0.0008405842,0.000056777917,0.00013801095,0.007635013,0.015271353,0.0011607449,0.042278662,0.10560814,0.00013378011],"about_ca_topic_score_codex":0.8115116,"about_ca_topic_score_gemma":0.8389963,"teacher_disagreement_score":0.8115116,"about_ca_system_score_codex":0.012765983,"about_ca_system_score_gemma":0.01236587,"threshold_uncertainty_score":0.37919688},"labels":[],"label_agreement":null},{"id":"W2920568265","doi":"10.34989/san-2018-35","title":"The Impact of Recent Policy Changes on the Canadian Mortgage Market","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Secondary mortgage market; Business; Mortgage insurance; Mortgage underwriting; Commercial mortgage-backed security; Financial system; Economics; Finance","score_opus":0.04921068170867564,"score_gpt":0.3616800352874207,"score_spread":0.31246935357874506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920568265","genre_codex":"commentary","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":[0.2744351,0.01402592,0.00071398396,0.43087628,0.0017180311,0.00010793207,0.0074317288,0.00018467456,0.27050638],"genre_scores_gemma":[0.90832675,0.0137542905,0.0010382348,0.020241069,0.0006411446,0.00003831058,0.0019922417,0.00006301762,0.05390502],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946391,0.00031230273,0.00012327071,0.00023436884,0.00267042,0.0020204938],"domain_scores_gemma":[0.99164575,0.0007131063,0.0006476225,0.00013616715,0.004928814,0.0019286601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024578318,0.0002917514,0.00030237492,0.0019902182,0.0078097535,0.0059915395,0.0014795095,0.0025584616,0.012817425],"category_scores_gemma":[0.012716887,0.00026283582,0.00053823926,0.0032833933,0.0026559227,0.0014650647,0.0014192415,0.0029683246,0.00058072427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00036803077,0.00024431478,0.09026878,0.0006660818,0.00013211211,0.0010834695,0.007039189,0.006462511,0.002306731,0.29251477,0.4619069,0.13700715],"study_design_scores_gemma":[0.00006974442,0.00007253178,0.46475306,0.00030383322,0.00006984979,0.00016503994,0.008301975,0.0036220702,0.0009245646,0.0073007233,0.51424116,0.00017554827],"about_ca_topic_score_codex":0.995598,"about_ca_topic_score_gemma":0.99729675,"teacher_disagreement_score":0.8590489,"about_ca_system_score_codex":0.1409511,"about_ca_system_score_gemma":0.17465816,"threshold_uncertainty_score":0.99637496},"labels":[],"label_agreement":null},{"id":"W2920870303","doi":"10.34989/san-2017-3","title":"Assessing Global Potential Output Growth","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"Bank of Canada","funders":"","keywords":"Potential output; Economics; Environmental science; Natural resource economics; Econometrics; Macroeconomics; Monetary policy","score_opus":0.047077083040953295,"score_gpt":0.2666248243598531,"score_spread":0.2195477413188998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920870303","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":[0.31161824,0.010568993,0.05853053,0.010351266,0.0016746025,0.00025884414,0.13364302,0.0016015692,0.471753],"genre_scores_gemma":[0.88441086,0.009162114,0.014839383,0.00063613383,0.0003628159,0.00039790268,0.069239646,0.00052468455,0.020426407],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917126,0.000119053024,0.000048812035,0.00012830443,0.00042011988,0.000112521455],"domain_scores_gemma":[0.9969392,0.0005694807,0.00043518477,0.00017195656,0.0017124974,0.00017168913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018853194,0.0009898688,0.00038828497,0.004482538,0.00032116575,0.0023947787,0.0005611414,0.00049818226,0.0067322366],"category_scores_gemma":[0.0068676434,0.0001821294,0.0010284416,0.006356245,0.00044942272,0.0040996526,0.0022252377,0.00088166795,0.0028123949],"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":[0.00032866388,0.0000964266,0.26448104,0.0017511898,0.00056783535,0.0008456938,0.0013338571,0.117211945,0.0020353172,0.1260405,0.13890553,0.346402],"study_design_scores_gemma":[0.000033812794,0.00042389214,0.2774168,0.0011219487,0.00021047414,0.0006289665,0.003745999,0.060145136,0.006353312,0.05589294,0.5938232,0.00020346833],"about_ca_topic_score_codex":0.010771186,"about_ca_topic_score_gemma":0.007451289,"teacher_disagreement_score":0.010771186,"about_ca_system_score_codex":0.0019429261,"about_ca_system_score_gemma":0.0013273528,"threshold_uncertainty_score":0.022521555},"labels":[],"label_agreement":null},{"id":"W2921050943","doi":"10.34989/san-2017-24","title":"A Barometer of Canadian Financial System Vulnerabilities","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Barometer; Financial crisis; Perspective (graphical); Business; Complement (music); Financial system; Finance; Economics; Computer science; Geography; Macroeconomics; Artificial intelligence","score_opus":0.02730988322350663,"score_gpt":0.22453246827908263,"score_spread":0.197222585055576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921050943","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":[0.2884476,0.01925733,0.009598204,0.07743544,0.0018571584,0.00035454187,0.032175325,0.0007582764,0.57011604],"genre_scores_gemma":[0.952229,0.009852726,0.004546657,0.003688161,0.0003676202,0.00011669621,0.0051630866,0.00015310607,0.023883061],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99113876,0.0005539048,0.00023726186,0.00040203176,0.006474976,0.0011930782],"domain_scores_gemma":[0.9612584,0.0023504843,0.0027439997,0.00061673875,0.0306798,0.0023505772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043469425,0.0005867318,0.00032613528,0.012196085,0.006235415,0.00616188,0.0008149267,0.0006631697,0.006279289],"category_scores_gemma":[0.027304336,0.00027294926,0.00031859157,0.01419292,0.002422939,0.0022277029,0.0036465325,0.0018477743,0.00046938012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013389984,0.00003184804,0.28398633,0.00069141574,0.00017016548,0.00045411274,0.016848493,0.0035431508,0.0013895717,0.13959345,0.37118277,0.18197475],"study_design_scores_gemma":[0.000009513665,0.000040531966,0.46228054,0.0007463417,0.00007474831,0.00027556164,0.017007055,0.00193631,0.0012568401,0.008890193,0.50722694,0.00025548702],"about_ca_topic_score_codex":0.97105825,"about_ca_topic_score_gemma":0.98019606,"teacher_disagreement_score":0.9381534,"about_ca_system_score_codex":0.061846588,"about_ca_system_score_gemma":0.069901094,"threshold_uncertainty_score":0.44873047},"labels":[],"label_agreement":null},{"id":"W2921108415","doi":"","title":"Incidence des modifications récentes des politiques sur le marché hypothécaire canadien","year":2018,"lang":"fr","type":"article","venue":"Staff Analytical Notes","topic":"Canadian Policy and Governance","field":"Social Sciences","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":"Incidence (geometry); Humanities; Geography; Physics; Art","score_opus":0.08501154322581955,"score_gpt":0.3301339411805124,"score_spread":0.24512239795469287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921108415","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":[0.91524076,0.005993651,0.002746238,0.01288238,0.00016143321,0.0000970424,0.0035900278,0.00008691924,0.059201445],"genre_scores_gemma":[0.99452245,0.0012918444,0.00026568893,0.00011565841,0.000084344945,0.000022760616,0.00055368466,0.000010120693,0.0031335976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99661285,0.0008626098,0.0002640573,0.000535202,0.000949276,0.00077592407],"domain_scores_gemma":[0.96630013,0.016681332,0.009581838,0.0032127444,0.002849052,0.0013750182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006180668,0.0002562736,0.00046331718,0.0025349762,0.0009834751,0.0025227258,0.00067375536,0.0009583804,0.015127032],"category_scores_gemma":[0.037515014,0.00026662936,0.00051659544,0.0040869964,0.0022830071,0.0018962087,0.0019823066,0.002132002,0.0007561586],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008732677,0.0001419092,0.7885801,0.0005573079,0.0004138252,0.00087571755,0.013315724,0.0054265857,0.0012618031,0.053029522,0.007847875,0.12767634],"study_design_scores_gemma":[0.000022588625,0.00013758863,0.9327604,0.0003962392,0.00013293506,0.0005517024,0.007906734,0.0018695315,0.0010821648,0.011741995,0.043330185,0.000067868874],"about_ca_topic_score_codex":0.045024194,"about_ca_topic_score_gemma":0.040523615,"teacher_disagreement_score":0.9549758,"about_ca_system_score_codex":0.0031415455,"about_ca_system_score_gemma":0.002564053,"threshold_uncertainty_score":0.08952421},"labels":[],"label_agreement":null},{"id":"W2921313994","doi":"10.34989/san-2018-14","title":"How do Canadian Corporate Bond Mutual Funds Meet Investor Redemptions?","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Business; Bond; Corporate bond; Market liquidity; Finance; Institutional investor; Fixed income; Bond market; Financial system; Cash; Monetary economics; Corporate governance; Economics","score_opus":0.06002912473855398,"score_gpt":0.24199286632191128,"score_spread":0.1819637415833573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921313994","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":[0.8320985,0.0029567354,0.0008820378,0.01815066,0.00008433243,0.00012329064,0.001704494,0.000074877746,0.14392506],"genre_scores_gemma":[0.98959374,0.0007810428,0.00025837196,0.00046159426,0.000020894675,0.000012138538,0.0002851482,0.00000857703,0.008578536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976749,0.0001617469,0.000037404596,0.00015794698,0.0010562864,0.0009116902],"domain_scores_gemma":[0.9954781,0.00037597475,0.0013440874,0.00013030492,0.0016880545,0.0009835528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017014586,0.0002523113,0.0002948725,0.0014718629,0.002950121,0.0048431843,0.0010861373,0.0013342014,0.0036836383],"category_scores_gemma":[0.015359657,0.00017903428,0.00027009315,0.0018404346,0.0013574756,0.0016158035,0.000801985,0.0008923762,0.0004421097],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059868954,0.00019322682,0.5432912,0.00022507754,0.00022927571,0.000614046,0.014209814,0.009703412,0.0035418735,0.14378881,0.0693657,0.21423884],"study_design_scores_gemma":[0.00010037355,0.000087476015,0.79837656,0.00016422664,0.00016520388,0.00020246378,0.015276308,0.007198767,0.0021923622,0.011504199,0.16456954,0.00016252355],"about_ca_topic_score_codex":0.97986114,"about_ca_topic_score_gemma":0.9900697,"teacher_disagreement_score":0.052309733,"about_ca_system_score_codex":0.052309733,"about_ca_system_score_gemma":0.04376764,"threshold_uncertainty_score":0.3795355},"labels":[],"label_agreement":null},{"id":"W2921320033","doi":"10.34989/san-2015-1","title":"Foreign Flows and Their Effects on Government of Canada Yields","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.01538771566688858,"score_gpt":0.23980347394771556,"score_spread":0.224415758280827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921320033","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":[0.8994829,0.0020137008,0.00073799613,0.012097937,0.00010320757,0.00003621458,0.0098416805,0.000184416,0.07550194],"genre_scores_gemma":[0.98428506,0.0009594207,0.00016352709,0.00029471423,0.000019436804,0.000005725199,0.0014984931,0.00002630617,0.012747242],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991003,0.00006555309,0.000026326485,0.0000928805,0.00033426957,0.00038061038],"domain_scores_gemma":[0.99643266,0.000401519,0.00064543553,0.00009883709,0.0015710888,0.0008504025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006740364,0.00029492253,0.00025541958,0.0010952344,0.0020133837,0.00342854,0.000593198,0.0006102133,0.007720342],"category_scores_gemma":[0.0069352053,0.0001777265,0.00056083745,0.0015502482,0.000803314,0.0006025709,0.0012889422,0.0013216686,0.00036580215],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004695752,0.0001525427,0.839838,0.00008728619,0.00027753622,0.0008204671,0.0022034454,0.024711756,0.001056896,0.047086876,0.039560214,0.04373535],"study_design_scores_gemma":[0.000039281476,0.00006813081,0.93349993,0.00011894275,0.00016749797,0.00013191967,0.0038303887,0.015805336,0.0012711546,0.0036187468,0.041355863,0.00009270906],"about_ca_topic_score_codex":0.9925995,"about_ca_topic_score_gemma":0.9909717,"teacher_disagreement_score":0.05078132,"about_ca_system_score_codex":0.05078132,"about_ca_system_score_gemma":0.03475247,"threshold_uncertainty_score":0.368446},"labels":[],"label_agreement":null},{"id":"W2921378575","doi":"10.34989/san-2018-24","title":"The Characteristics of Uninsured Mortgages and their Securitization Potential","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Securitization; Business; Commercial mortgage-backed security; Financial system; Secondary mortgage market; Mortgage underwriting; Shared appreciation mortgage; Mortgage insurance; Finance","score_opus":0.015600927024864352,"score_gpt":0.20760216727436853,"score_spread":0.19200124024950418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921378575","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":[0.994136,0.0003377643,0.00020065976,0.0006430227,0.0000056950043,0.000009727532,0.0012498782,0.0000052668875,0.0034120698],"genre_scores_gemma":[0.9981523,0.00019662664,0.00006213587,0.00003093573,0.00000788193,0.0000035773332,0.00074409926,0.0000012603236,0.00080121023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995683,0.000060057617,0.00003579862,0.000043439613,0.00015000186,0.00014246494],"domain_scores_gemma":[0.9954965,0.0005524755,0.0028325738,0.00016750488,0.00044522263,0.0005056782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007893363,0.00010050658,0.0001641734,0.00085177494,0.00041149708,0.00085734535,0.0002807506,0.00026084765,0.0047461325],"category_scores_gemma":[0.005378322,0.000090524176,0.0002478985,0.000981149,0.00051952194,0.0006968434,0.00047759953,0.00050213444,0.000520032],"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":[0.000022190217,0.000016632926,0.9921834,0.000008059959,0.000012087876,0.000079400925,0.0003136943,0.00017949486,0.0000870714,0.0010100565,0.00074674684,0.0053411834],"study_design_scores_gemma":[6.7025144e-7,0.00001322313,0.99770576,0.000009266381,0.0000033749593,0.000083716026,0.0006000271,0.00035414094,0.00008296914,0.00030546827,0.00083819404,0.000003267182],"about_ca_topic_score_codex":0.07682057,"about_ca_topic_score_gemma":0.13367015,"teacher_disagreement_score":0.07682057,"about_ca_system_score_codex":0.0007861138,"about_ca_system_score_gemma":0.0009154353,"threshold_uncertainty_score":0.1527468},"labels":[],"label_agreement":null},{"id":"W2921380771","doi":"10.34989/san-2018-26","title":"Decomposing Canada’s Market Shares: An Update","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Regional Economic and Spatial 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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Depreciation (economics); Market share; Liberian dollar; China; Economics; Preference; Us dollar; Financial economics; Monetary economics; Geography; Market economy; Exchange rate; Finance; Microeconomics","score_opus":0.0312813301281556,"score_gpt":0.23117324180020843,"score_spread":0.19989191167205284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921380771","genre_codex":"dataset","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":[0.12393214,0.19297823,0.008124617,0.045668848,0.0038873209,0.0002701675,0.31841913,0.0008581718,0.30586135],"genre_scores_gemma":[0.5310871,0.20551215,0.012802396,0.004627095,0.0021983825,0.00016777591,0.15619624,0.0008599738,0.08654886],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99794394,0.00006133886,0.000089031935,0.00015569231,0.0014256451,0.00032441915],"domain_scores_gemma":[0.98775834,0.0007554574,0.0006476236,0.00038769672,0.009865409,0.0005854715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014265432,0.001278925,0.00075462996,0.016796906,0.0025576125,0.00484831,0.002086136,0.000665499,0.01643371],"category_scores_gemma":[0.007780039,0.00052725495,0.0009237477,0.044687334,0.0012758644,0.0038779099,0.0015404857,0.0013429711,0.0016560758],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011428818,0.000086072425,0.08610388,0.0010357653,0.00024423693,0.00023965485,0.0012762938,0.0030182716,0.00032479706,0.055736206,0.52597874,0.32584172],"study_design_scores_gemma":[0.00002176347,0.0000214346,0.13063672,0.0014739346,0.000111295725,0.00016717412,0.0019511235,0.0033052294,0.00079912023,0.0064260834,0.8549404,0.00014579351],"about_ca_topic_score_codex":0.9882139,"about_ca_topic_score_gemma":0.98981816,"teacher_disagreement_score":0.041705888,"about_ca_system_score_codex":0.041705888,"about_ca_system_score_gemma":0.055125125,"threshold_uncertainty_score":0.30259883},"labels":[],"label_agreement":null},{"id":"W2921652172","doi":"10.34989/san-2016-13","title":"The Global Benefits of Low Oil Prices: More Than Meets the Eye","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Global Energy and Sustainability Research","field":"Energy","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":"Bank of Canada","funders":"","keywords":"Fell; Economics; Oil price; Oil supply; Monetary economics; Crude oil; Channel (broadcasting); Affect (linguistics); Agricultural economics; Geography; Petroleum engineering; Telecommunications; Engineering","score_opus":0.01616426434135065,"score_gpt":0.30038592432714506,"score_spread":0.2842216599857944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921652172","genre_codex":"commentary","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":[0.003763756,0.033377096,0.0011953517,0.84910476,0.016903058,0.000008858274,0.00045949768,0.00014707676,0.09504054],"genre_scores_gemma":[0.21473521,0.15442647,0.00585692,0.44083798,0.052466005,0.000049975584,0.00089620304,0.0013158266,0.12941538],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997503,0.0005681461,0.000094675044,0.0002109821,0.0011929509,0.00043035587],"domain_scores_gemma":[0.9920412,0.0039551123,0.00063974084,0.00073480455,0.0019615812,0.0006675781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037228295,0.0008064911,0.00066123786,0.0014156549,0.0031218405,0.011377923,0.0009540588,0.0054177474,0.032836623],"category_scores_gemma":[0.011292748,0.0002811165,0.00063701515,0.002221267,0.0048324107,0.016868448,0.004620347,0.0069659953,0.0073527913],"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":[0.00007943093,0.000026508065,0.0013543954,0.00038923277,0.000021192016,0.0003108576,0.0016783326,0.0001902335,0.0004223142,0.060731553,0.8364383,0.098357566],"study_design_scores_gemma":[0.0000072277335,0.000030573563,0.0017355032,0.00075217563,0.000019857293,0.00021466994,0.006618764,0.00007577262,0.00044075778,0.05834162,0.9317252,0.00003791908],"about_ca_topic_score_codex":0.009786334,"about_ca_topic_score_gemma":0.023464592,"teacher_disagreement_score":0.032836623,"about_ca_system_score_codex":0.0034728004,"about_ca_system_score_gemma":0.0047290404,"threshold_uncertainty_score":0.10984945},"labels":[],"label_agreement":null},{"id":"W2921669558","doi":"10.34989/san-2016-6","title":"Un examen plus approfondi des pressions salariales au Canada","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Social Sciences and Governance","field":"Social 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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Humanities; Political science; Geography; Philosophy","score_opus":0.04073618917738519,"score_gpt":0.31826409641391507,"score_spread":0.27752790723652987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921669558","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":[0.27902013,0.09368308,0.0073341327,0.15592472,0.007054713,0.00028454987,0.02273468,0.0011667078,0.43279725],"genre_scores_gemma":[0.7605895,0.030211166,0.0064047924,0.0064776763,0.0017517954,0.00010056673,0.0037107568,0.0002488659,0.19050501],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99329364,0.00047778405,0.00017934355,0.00039614373,0.004133565,0.001519549],"domain_scores_gemma":[0.98799396,0.0013992607,0.00065753754,0.0002622962,0.008104416,0.0015824719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030631954,0.0005355255,0.00045179145,0.004240959,0.0058403737,0.005279488,0.0011627377,0.0010322738,0.019876435],"category_scores_gemma":[0.011261889,0.00025921187,0.0005640029,0.0059376433,0.0014254533,0.0009769194,0.0010598697,0.0015074271,0.0014345106],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003354082,0.00013114946,0.09461137,0.0010667162,0.00019357936,0.00082169415,0.0068722945,0.004455496,0.0028704132,0.14383098,0.3621622,0.38264862],"study_design_scores_gemma":[0.000029291345,0.000061262625,0.23779921,0.0006055735,0.00005236293,0.00019762109,0.004265371,0.0018132009,0.0011970864,0.0017157499,0.752149,0.000114199174],"about_ca_topic_score_codex":0.98315674,"about_ca_topic_score_gemma":0.98655826,"teacher_disagreement_score":0.074572094,"about_ca_system_score_codex":0.074572094,"about_ca_system_score_gemma":0.10556362,"threshold_uncertainty_score":0.5410609},"labels":[],"label_agreement":null},{"id":"W2921828364","doi":"10.34989/san-2017-19","title":"Digital Transformation in the Service Sector: Insights from Consultations with Firms in Wholesale, Retail and Logistics","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Digital transformation; Business; Context (archaeology); Business model; Industrial organization; Digital economy; Cloud computing; Service (business); Retail industry; Yield (engineering); Marketing; Commerce; Big data; Computer science","score_opus":0.021895089049439237,"score_gpt":0.21865953759645462,"score_spread":0.19676444854701539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921828364","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":[0.95747524,0.0007381942,0.0004285527,0.017042838,0.000070623086,0.00006621663,0.00016634304,0.000011070953,0.024000859],"genre_scores_gemma":[0.9877259,0.0013884053,0.00028556623,0.005115189,0.000043197728,0.00003429536,0.00011530538,0.00002121803,0.0052707824],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99078804,0.005535536,0.00025088206,0.00028887475,0.00094089255,0.0021957632],"domain_scores_gemma":[0.9730276,0.018482963,0.002214104,0.00031051412,0.0017828497,0.0041820067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059009152,0.00030162462,0.00034102722,0.0024075587,0.0130085405,0.0076267803,0.00096482615,0.0032269184,0.0055679367],"category_scores_gemma":[0.016095933,0.00036095857,0.0002262503,0.0054819384,0.007871205,0.00566675,0.0062980102,0.0036790173,0.00073004613],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004748908,0.0000945318,0.010846459,0.000112705435,0.0000035593448,0.0017062086,0.9690879,0.00006869305,0.00065060944,0.002963147,0.0045941495,0.009824453],"study_design_scores_gemma":[0.00000301514,0.0000165476,0.003132469,0.000057440946,0.000001297471,0.00009888531,0.9818957,0.00006326053,0.00008275915,0.00015520286,0.014485675,0.000007728311],"about_ca_topic_score_codex":0.11554353,"about_ca_topic_score_gemma":0.18820223,"teacher_disagreement_score":0.11554353,"about_ca_system_score_codex":0.014026622,"about_ca_system_score_gemma":0.012617742,"threshold_uncertainty_score":0.22974199},"labels":[],"label_agreement":null},{"id":"W2922091594","doi":"10.34989/san-2016-14","title":"A Primer on Neo-Fisherian Economics","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","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":"Bank of Canada","funders":"","keywords":"Economics; Humanities; Inflation (cosmology); Political science; Philosophy; Physics","score_opus":0.04345902243296213,"score_gpt":0.23359877908118568,"score_spread":0.19013975664822355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922091594","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":[0.004253775,0.17896791,0.1216336,0.17181696,0.008606612,0.00009471707,0.00060743775,0.00024364279,0.51377535],"genre_scores_gemma":[0.22641844,0.386887,0.07712189,0.060664847,0.022130938,0.00044423674,0.0005400025,0.00043291014,0.22535968],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99959296,0.00016968283,0.000016788976,0.000053808704,0.0001334503,0.000033340435],"domain_scores_gemma":[0.9988311,0.00087758247,0.00005590465,0.00008425715,0.00010461141,0.00004647605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012458777,0.00072479155,0.0006169833,0.001316376,0.0008995463,0.0024195265,0.0013019254,0.0026339127,0.011341043],"category_scores_gemma":[0.0018460101,0.00038020936,0.0005726091,0.0012973661,0.004943096,0.0057513537,0.0011843882,0.0057662195,0.0034084676],"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":[0.0000027216695,0.000014438744,0.00006885213,0.00006443457,0.0000029015155,0.00004039144,0.0001339104,0.00062901893,0.00005418137,0.96931756,0.02128922,0.008382361],"study_design_scores_gemma":[0.0000019651054,0.0000061862897,0.000091516464,0.00014630565,0.0000011514115,0.00005209927,0.000058729605,0.00082155823,0.000035550853,0.81945544,0.17932397,0.0000055584374],"about_ca_topic_score_codex":0.001821509,"about_ca_topic_score_gemma":0.0019074387,"teacher_disagreement_score":0.011341043,"about_ca_system_score_codex":0.0021286418,"about_ca_system_score_gemma":0.0012024409,"threshold_uncertainty_score":0.03793955},"labels":[],"label_agreement":null},{"id":"W2922179265","doi":"10.34989/san-2016-10","title":"The Case of Serial Disappointment","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Canadian Policy and Governance","field":"Social 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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Disappointment; Contrast (vision); Economics; Real gross domestic product; Econometrics; Monetary economics; Psychology; Computer science","score_opus":0.02405240166608901,"score_gpt":0.3282709663074266,"score_spread":0.30421856464133756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922179265","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":[0.080144964,0.0049292753,0.056280244,0.13749616,0.004632748,0.00044278053,0.0022493738,0.0013862345,0.7124383],"genre_scores_gemma":[0.8732729,0.0022671146,0.007229116,0.0326567,0.004654122,0.00031855953,0.000778586,0.0005285568,0.07829439],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9869999,0.004414947,0.0010870347,0.002186955,0.0039123716,0.0013987065],"domain_scores_gemma":[0.917083,0.03099692,0.016537776,0.019504515,0.013318394,0.0025593075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014317442,0.0007450901,0.00073491,0.0023058578,0.0033347034,0.0058173146,0.0018784826,0.0057245144,0.04570297],"category_scores_gemma":[0.13282505,0.00055382494,0.00086340785,0.0028014998,0.005262837,0.009299687,0.0039423048,0.008745744,0.007981222],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047173834,0.00011245329,0.042398483,0.00032532192,0.0003384618,0.011791665,0.011798719,0.0036198301,0.00065197935,0.55362624,0.24030061,0.13456452],"study_design_scores_gemma":[0.00010217382,0.00013035917,0.016736522,0.0009689375,0.00018072981,0.008381305,0.00880825,0.008560904,0.0010534199,0.40774822,0.54710895,0.00022019436],"about_ca_topic_score_codex":0.005695766,"about_ca_topic_score_gemma":0.0054717,"teacher_disagreement_score":0.99606854,"about_ca_system_score_codex":0.0039314837,"about_ca_system_score_gemma":0.0023429329,"threshold_uncertainty_score":0.15289164},"labels":[],"label_agreement":null},{"id":"W2922197458","doi":"10.34989/san-2016-4","title":"April 2016 Annual Reassessment of Potential Output in Canada","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Potential output; Projection (relational algebra); Economics; Monetary policy; Political science; Geography; Keynesian economics; Mathematics","score_opus":0.014851363127808524,"score_gpt":0.2863970105525633,"score_spread":0.27154564742475473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922197458","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":[0.0842091,0.01328233,0.0027626315,0.09897157,0.008692981,0.00035471466,0.35428968,0.0022617837,0.4351752],"genre_scores_gemma":[0.49920407,0.01985208,0.007053772,0.009122215,0.0008945921,0.00027566706,0.12852497,0.0010043528,0.33406824],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99156183,0.00016294728,0.00019500972,0.00029893406,0.0066293566,0.0011519886],"domain_scores_gemma":[0.9886184,0.00019475598,0.00025396823,0.0001948054,0.00967717,0.0010608364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029376824,0.00076052314,0.0005331712,0.004130189,0.004169975,0.006180175,0.0016055057,0.0010209705,0.013733135],"category_scores_gemma":[0.012260246,0.00041365373,0.0007268767,0.0077183736,0.0010623686,0.0012261104,0.0017110809,0.0020834366,0.0031034949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018893344,0.00003080062,0.020050965,0.00032564174,0.00005176406,0.00021328285,0.0009910949,0.00282133,0.0005861725,0.017495908,0.90320426,0.054039758],"study_design_scores_gemma":[0.000014515379,0.000025152734,0.08661099,0.00022089461,0.000019434136,0.00006006705,0.0013952369,0.0013491694,0.00087094144,0.0010779335,0.90825975,0.00009591075],"about_ca_topic_score_codex":0.9954781,"about_ca_topic_score_gemma":0.9947924,"teacher_disagreement_score":0.12023686,"about_ca_system_score_codex":0.12023686,"about_ca_system_score_gemma":0.17433253,"threshold_uncertainty_score":0.87238353},"labels":[],"label_agreement":null},{"id":"W2922240527","doi":"10.34989/san-2017-22","title":"The Impacts of Monetary Policy Statements","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Monetary Policy and Economic Impact","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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Monetary policy; Liberian dollar; Economics; Monetary economics; Statement (logic); Government (linguistics); Interest rate; Bond; Finance; Political science","score_opus":0.06515980323860436,"score_gpt":0.3028558900502535,"score_spread":0.2376960868116491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922240527","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":[0.47633013,0.0038423748,0.0006131305,0.022945233,0.0018781219,0.00007830472,0.0014376362,0.00008500707,0.49279004],"genre_scores_gemma":[0.9857795,0.0018470852,0.00018602695,0.0017897657,0.00033903282,0.000011346211,0.00041060196,0.000028099877,0.009608546],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99310815,0.0017015939,0.00023584458,0.00025518052,0.003897939,0.00080125727],"domain_scores_gemma":[0.96236485,0.013724516,0.009642843,0.0007883848,0.011445252,0.0020342772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046138647,0.00030007286,0.0001781668,0.0013408164,0.0013267265,0.003566823,0.00035232893,0.00070562644,0.013021974],"category_scores_gemma":[0.052557766,0.00014100848,0.00019489581,0.0016166676,0.0010993272,0.0015673887,0.0013247872,0.0018047808,0.0017501527],"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":[0.0024839828,0.0007059913,0.3185298,0.00078898395,0.00020249649,0.0024422351,0.015089535,0.004875377,0.0074112215,0.10824462,0.17185053,0.3673751],"study_design_scores_gemma":[0.00008358861,0.0003500642,0.65622914,0.00059015234,0.00010509607,0.00032280153,0.026795626,0.00230018,0.0029417395,0.016470723,0.2936553,0.0001555763],"about_ca_topic_score_codex":0.044086635,"about_ca_topic_score_gemma":0.038614966,"teacher_disagreement_score":0.044086635,"about_ca_system_score_codex":0.0032012276,"about_ca_system_score_gemma":0.0025090172,"threshold_uncertainty_score":0.087660074},"labels":[],"label_agreement":null},{"id":"W2922261683","doi":"10.34989/san-2017-14","title":"Can the Canadian International Investment Position Stabilize a Slowing Economy?","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Monetary Policy and Economic Impact","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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Position (finance); Investment (military); Economics; Business; International economics; Market economy; Finance; Political science","score_opus":0.08185105500941056,"score_gpt":0.2396551643643932,"score_spread":0.15780410935498262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922261683","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":[0.074668005,0.014294951,0.0021996181,0.3015882,0.003385364,0.00005861228,0.002557889,0.00035739475,0.60089],"genre_scores_gemma":[0.9038209,0.013326063,0.001521445,0.016341794,0.000733118,0.000021775762,0.0007222189,0.00013192292,0.06338088],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99895203,0.000057316087,0.000017684788,0.000113556336,0.00039470894,0.00046456503],"domain_scores_gemma":[0.99792755,0.00013680827,0.0001650432,0.000082580205,0.0012141417,0.0004738943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011443278,0.00052775955,0.0003253375,0.0016388351,0.004286207,0.008634969,0.0008814617,0.0015644833,0.021441784],"category_scores_gemma":[0.0069977627,0.00014432178,0.00039878045,0.0021235158,0.00250436,0.0029286263,0.0011466192,0.0025007923,0.0015944723],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018421536,0.000037187318,0.02420805,0.00019575447,0.000101689344,0.00042964186,0.0020987527,0.0041164495,0.0009303553,0.56569946,0.30478874,0.097209685],"study_design_scores_gemma":[0.00007457683,0.00005706117,0.07089305,0.0006085808,0.00015314772,0.00014666791,0.0079335,0.0031670423,0.0017094355,0.07388254,0.8411779,0.00019650043],"about_ca_topic_score_codex":0.94665426,"about_ca_topic_score_gemma":0.95660186,"teacher_disagreement_score":0.05334574,"about_ca_system_score_codex":0.038549222,"about_ca_system_score_gemma":0.04633025,"threshold_uncertainty_score":0.2796955},"labels":[],"label_agreement":null},{"id":"W2922368292","doi":"10.34989/san-2018-23","title":"Bitcoin Awareness and Usage in Canada: An Update","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Business; Commerce; Cryptocurrency; Computer security; Computer science","score_opus":0.015471582549972884,"score_gpt":0.2556163056670463,"score_spread":0.2401447231170734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922368292","genre_codex":"dataset","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":[0.15302172,0.3533304,0.0015022273,0.04695153,0.0029019727,0.00050071446,0.3600834,0.0009916042,0.08071644],"genre_scores_gemma":[0.3752642,0.46294796,0.0031725331,0.009421474,0.00092198217,0.00043949918,0.11897982,0.00038820266,0.02846433],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9959835,0.00014593544,0.00044276242,0.00033605078,0.0024939221,0.00059786334],"domain_scores_gemma":[0.93624866,0.003492478,0.003228739,0.00055510155,0.051107734,0.00536736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033482667,0.0009151171,0.0011658103,0.01886369,0.0023240335,0.0048729847,0.002079471,0.0012095926,0.009904805],"category_scores_gemma":[0.011833271,0.00075279665,0.00105447,0.049696285,0.001303335,0.0035487553,0.0017372047,0.0023904457,0.0019704753],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026204583,0.00024664582,0.26521975,0.0045724274,0.00020382629,0.00030239485,0.0026895632,0.00042611008,0.0003147508,0.0018526535,0.36619964,0.35771015],"study_design_scores_gemma":[0.000036592883,0.00006652176,0.6711836,0.005139088,0.00018621061,0.00035390595,0.0035374213,0.0005807587,0.00040049825,0.00027713462,0.31806454,0.00017375618],"about_ca_topic_score_codex":0.99124825,"about_ca_topic_score_gemma":0.99102414,"teacher_disagreement_score":0.057576224,"about_ca_system_score_codex":0.057576224,"about_ca_system_score_gemma":0.11889474,"threshold_uncertainty_score":0.41774672},"labels":[],"label_agreement":null},{"id":"W2922485425","doi":"10.34989/san-2017-13","title":"Redistributive Effects of a Change in the Inflation Target","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Political science; Humanities; Inflation (cosmology); Physics; Philosophy; Theoretical physics","score_opus":0.12696623008272928,"score_gpt":0.2693335103038646,"score_spread":0.14236728022113532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922485425","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":[0.9336323,0.0004046384,0.0040424806,0.003848048,0.00010247667,0.00005089953,0.00035042423,0.000070676775,0.057498023],"genre_scores_gemma":[0.9980958,0.00006782109,0.00020286585,0.00014820074,0.000019908488,0.000004376698,0.000028931783,0.0000049549435,0.0014271972],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922013,0.00024079374,0.000022748927,0.00010494489,0.00014297053,0.00026845146],"domain_scores_gemma":[0.9977986,0.00086161,0.00068538025,0.00016200315,0.00023659604,0.00025577497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011801252,0.00018110026,0.0002970222,0.00047476534,0.00065796555,0.0015768786,0.00034281515,0.00065766025,0.007926688],"category_scores_gemma":[0.0073020314,0.00014370355,0.0003171884,0.00049504236,0.00079039636,0.0007011303,0.0010212137,0.0009715701,0.000650055],"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":[0.005261604,0.002480471,0.34665823,0.0003611703,0.00057365844,0.0029422292,0.0027249556,0.114919156,0.02987343,0.3040505,0.013999259,0.17615536],"study_design_scores_gemma":[0.0005880314,0.0020079198,0.7866612,0.00014952896,0.00029906206,0.0004925664,0.004890365,0.057866856,0.009876115,0.10771333,0.029328097,0.00012694704],"about_ca_topic_score_codex":0.012512003,"about_ca_topic_score_gemma":0.0118087465,"teacher_disagreement_score":0.012512003,"about_ca_system_score_codex":0.0018478103,"about_ca_system_score_gemma":0.00087728805,"threshold_uncertainty_score":0.026517391},"labels":[],"label_agreement":null},{"id":"W2923518429","doi":"10.34989/san-2017-10","title":"Has Liquidity in Canadian Government Bond Markets Deteriorated?","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Market liquidity; Liquidity crisis; Shock (circulatory); Government bond; Liquidity risk; Monetary economics; Financial system; Bond; Financial crisis; Business; Market impact; Government (linguistics); Economics; Funding liquidity; Finance; Market microstructure; Order (exchange); Macroeconomics","score_opus":0.04597621950790334,"score_gpt":0.2915401526133035,"score_spread":0.24556393310540017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923518429","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":[0.85438794,0.019853478,0.00015346894,0.06589661,0.0002824247,0.00004022666,0.0064665577,0.00004035788,0.052878965],"genre_scores_gemma":[0.9906758,0.0043381853,0.000083569445,0.0014882876,0.00008291167,0.0000063935345,0.0008503955,0.000010255262,0.0024641694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983694,0.0001035313,0.00006406574,0.00016218428,0.00063469406,0.0006661894],"domain_scores_gemma":[0.99208844,0.0004616817,0.0014898769,0.00020372972,0.0046947724,0.0010614122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024762223,0.0002487499,0.0004389351,0.0022640743,0.0047746515,0.00714287,0.0013329623,0.0014136146,0.0055545457],"category_scores_gemma":[0.011847387,0.00025358322,0.00039642345,0.006017375,0.002406779,0.0025476217,0.0011815481,0.0018583941,0.00036909792],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069436076,0.00013358962,0.74995124,0.00033379527,0.00020051136,0.0010654883,0.016891459,0.0014835933,0.00082250434,0.043294474,0.07336485,0.111764215],"study_design_scores_gemma":[0.00004672592,0.000042073003,0.9103532,0.0002730477,0.00008806915,0.00021717067,0.01327327,0.0011306984,0.00046158145,0.0031768791,0.07080648,0.0001307824],"about_ca_topic_score_codex":0.992455,"about_ca_topic_score_gemma":0.9934684,"teacher_disagreement_score":0.08426076,"about_ca_system_score_codex":0.08426076,"about_ca_system_score_gemma":0.068135,"threshold_uncertainty_score":0.61135745},"labels":[],"label_agreement":null},{"id":"W2923644328","doi":"10.34989/san-2018-29","title":"Estimating the Impacts of Tariff Changes: Two Illustrative Scenarios","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Global trade and economics","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":"Bank of Canada","funders":"","keywords":"Tariff; Economics; Construct (python library); International economics; Econometrics; Natural resource economics; International trade; Computer science","score_opus":0.07573156821738795,"score_gpt":0.27222218359813516,"score_spread":0.1964906153807472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923644328","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":[0.89179397,0.0012825693,0.061331827,0.00278935,0.00013237905,0.00046529548,0.0077485777,0.00027763998,0.034178346],"genre_scores_gemma":[0.9777755,0.00050734903,0.016659902,0.0001107504,0.000025034948,0.00018615549,0.0018668271,0.000035107485,0.002833372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986934,0.00083678187,0.00003974475,0.00012229853,0.00013889968,0.00016880174],"domain_scores_gemma":[0.994747,0.0041111098,0.00036559685,0.0002620691,0.00034101986,0.00017320935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032155486,0.001300228,0.0008515862,0.0023770244,0.0008544787,0.0021053266,0.0016522047,0.0034852088,0.004148542],"category_scores_gemma":[0.010332628,0.0005268955,0.0016717368,0.0028589526,0.0010219758,0.0019356194,0.0015079294,0.0019842556,0.00039040676],"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":[0.0003755552,0.00029198438,0.012193075,0.00014036632,0.00011940511,0.00073773874,0.00011230965,0.9406224,0.0006039605,0.034645196,0.0026978196,0.0074602477],"study_design_scores_gemma":[0.0003089117,0.00031697407,0.009532875,0.00007816807,0.00014955313,0.00024074751,0.00068880466,0.9420189,0.001774286,0.03956549,0.005197452,0.00012774437],"about_ca_topic_score_codex":0.030221444,"about_ca_topic_score_gemma":0.024626387,"teacher_disagreement_score":0.030221444,"about_ca_system_score_codex":0.0028983196,"about_ca_system_score_gemma":0.0008303718,"threshold_uncertainty_score":0.06009102},"labels":[],"label_agreement":null},{"id":"W2923854832","doi":"10.34989/san-2016-11","title":"Low for Longer? Why the Global Oil Market in 2014 Is Not Like 1986","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Market Dynamics and Volatility","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":"Bank of Canada","funders":"","keywords":"Oil price; Falling (accident); Crash; Economics; Agricultural economics; Monetary economics; Psychology","score_opus":0.025063494725098334,"score_gpt":0.25364136435772044,"score_spread":0.2285778696326221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923854832","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4765915,0.008515049,0.0034439608,0.3126861,0.0038158996,0.00005126927,0.0035962332,0.00029723658,0.19100282],"genre_scores_gemma":[0.943027,0.004995046,0.0007419401,0.020657413,0.0010906006,0.00002266954,0.0012279851,0.00018710023,0.02805032],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99942786,0.00006317141,0.000023193365,0.00007758287,0.00019752598,0.00021056391],"domain_scores_gemma":[0.99936074,0.000051992007,0.00018274746,0.00003697828,0.00022840951,0.00013920818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009618445,0.00020569905,0.00029155152,0.00064497767,0.0015572432,0.00431256,0.00042227996,0.0022661036,0.010185611],"category_scores_gemma":[0.0034414367,0.00017983053,0.00033056436,0.0010890975,0.0015981245,0.0049083065,0.0010348029,0.00263774,0.002598904],"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":[0.00048614532,0.00016158617,0.13962935,0.0003510784,0.000108779495,0.0018185677,0.0057705157,0.0027756728,0.0036788492,0.3199805,0.390502,0.13473684],"study_design_scores_gemma":[0.00006523443,0.00025342716,0.27395412,0.0004820843,0.00003459922,0.001249628,0.016631793,0.0029405397,0.0019993684,0.090388305,0.6118363,0.0001645602],"about_ca_topic_score_codex":0.02402962,"about_ca_topic_score_gemma":0.021957729,"teacher_disagreement_score":0.02402962,"about_ca_system_score_codex":0.0024359087,"about_ca_system_score_gemma":0.0013028833,"threshold_uncertainty_score":0.0477795},"labels":[],"label_agreement":null},{"id":"W2923945619","doi":"10.34989/san-2015-3","title":"Credit Cards: Disentangling the Dual Use of Borrowing and Spending","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Financial Literacy, Pension, Retirement Analysis","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":"Bank of Canada","funders":"","keywords":"Payment; Credit card; Spell; Monetary economics; Dual (grammatical number); Credit card interest; Credit crunch; Economics; Business; Aggregate (composite); Financial crisis; Financial system; Finance; Macroeconomics","score_opus":0.05049754811800095,"score_gpt":0.2544253890425166,"score_spread":0.20392784092451566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923945619","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":[0.98498595,0.001128923,0.0008715225,0.00093953364,0.000036223715,0.000017892391,0.0029622256,0.000013783893,0.009044014],"genre_scores_gemma":[0.9955596,0.000515682,0.00048338293,0.000120396195,0.00003450225,0.000016989088,0.0016322425,0.000009404015,0.0016278275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990258,0.0003192333,0.000095014286,0.0001682827,0.00016378995,0.00022784506],"domain_scores_gemma":[0.98943824,0.0033626554,0.0048650578,0.00070691726,0.00063628954,0.0009907066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013233034,0.00032870678,0.0002993765,0.002881714,0.00044493863,0.0025510835,0.00051275396,0.00046686543,0.0056076166],"category_scores_gemma":[0.008398939,0.00021413507,0.00035455683,0.0050428677,0.00075969705,0.0023494856,0.002263007,0.0011592408,0.00097298366],"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":[0.00010125345,0.000040220875,0.9801365,0.000037216043,0.00008389637,0.00006615536,0.00074604707,0.00019311931,0.00012778914,0.0021083602,0.0011390569,0.015220361],"study_design_scores_gemma":[0.000007872497,0.00004434778,0.9903274,0.00009002021,0.00006107358,0.00008280524,0.0018868903,0.0012856661,0.00022607092,0.001565269,0.004407526,0.000015089522],"about_ca_topic_score_codex":0.019961197,"about_ca_topic_score_gemma":0.03931261,"teacher_disagreement_score":0.019961197,"about_ca_system_score_codex":0.00050384563,"about_ca_system_score_gemma":0.0007172381,"threshold_uncertainty_score":0.039690018},"labels":[],"label_agreement":null},{"id":"W2928692171","doi":"10.34989/san-2017-4","title":"A Canada-US Comparison of Labour Market Conditions","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Labor Movements and Unions","field":"Social 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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Labour economics; Economics","score_opus":0.022242288712745476,"score_gpt":0.3355263843262324,"score_spread":0.3132840956134869,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2928692171","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":[0.7459304,0.011750349,0.000746851,0.0057263873,0.00023238416,0.00017272207,0.11675709,0.00014870925,0.11853508],"genre_scores_gemma":[0.95889246,0.0045544584,0.0006460439,0.00057457405,0.00004094923,0.00005897758,0.02489975,0.00004065095,0.010292192],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980696,0.00009572268,0.0001019471,0.00018335522,0.0006946811,0.0008547282],"domain_scores_gemma":[0.99696416,0.00013897092,0.00028711781,0.000056686884,0.0021231072,0.0004299893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009466345,0.00030254273,0.0003574295,0.0052795503,0.0024136985,0.0018994937,0.0006247912,0.0003593243,0.008379352],"category_scores_gemma":[0.0032613487,0.00013542791,0.0006234269,0.016043827,0.0003930055,0.00052863755,0.0011922892,0.00070062495,0.000521604],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080795144,0.00009645312,0.8230232,0.00049116113,0.00039599594,0.0006493772,0.0033270714,0.0016234453,0.0006803397,0.015977025,0.07648125,0.07644678],"study_design_scores_gemma":[0.000014647924,0.00003158426,0.965897,0.0000972602,0.00006594814,0.00009623367,0.002936746,0.00027373692,0.00015661928,0.00014072613,0.030262705,0.00002682219],"about_ca_topic_score_codex":0.9939857,"about_ca_topic_score_gemma":0.99749434,"teacher_disagreement_score":0.039539795,"about_ca_system_score_codex":0.039539795,"about_ca_system_score_gemma":0.043058243,"threshold_uncertainty_score":0.28688264},"labels":[],"label_agreement":null},{"id":"W2936491607","doi":"10.34989/san-2017-20","title":"Digitalization and Inflation: A Review of the Literature","year":2021,"lang":"en","type":"review","venue":"Staff Analytical Notes","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Inflation (cosmology); Economics; Keynesian economics; Monetary economics; Macroeconomics; Physics","score_opus":0.03169110425223424,"score_gpt":0.27394971168734816,"score_spread":0.24225860743511393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936491607","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000055924076,0.9993992,0.000018502826,0.00022826238,0.00006745943,0.000001703217,0.000012150905,0.0000012750899,0.00021551391],"genre_scores_gemma":[0.0004754813,0.9992237,0.000028104516,0.000115167095,0.000099678604,0.0000021334135,0.000010844488,4.959826e-7,0.00004439761],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992217,0.00013392091,0.00019319385,0.00013626722,0.00026158078,0.000053370644],"domain_scores_gemma":[0.9954566,0.0030110003,0.0005895587,0.000061023162,0.0007287879,0.00015312951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018152317,0.0008879492,0.0018143109,0.006003228,0.00047505758,0.0018694984,0.00092096184,0.0015678282,0.004600501],"category_scores_gemma":[0.005748069,0.0005399246,0.0010872663,0.009840476,0.0008478399,0.0019275766,0.00093800394,0.0015147806,0.0010077035],"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":[0.00013260881,0.000065318076,0.0010433471,0.09773576,0.00034334,0.0001634082,0.00017339562,0.00033374398,0.00020686859,0.0039766254,0.027512386,0.8683133],"study_design_scores_gemma":[0.000043137257,0.00019778598,0.011930491,0.13834623,0.0016224019,0.0016752,0.00046675288,0.00017112674,0.00033162144,0.0052371975,0.83989424,0.00008383743],"about_ca_topic_score_codex":0.0067478176,"about_ca_topic_score_gemma":0.009414729,"teacher_disagreement_score":0.0067478176,"about_ca_system_score_codex":0.0016453383,"about_ca_system_score_gemma":0.005155921,"threshold_uncertainty_score":0.015390217},"labels":[],"label_agreement":null},{"id":"W2936589802","doi":"10.34989/san-2018-17","title":"Measuring Vulnerabilities in the Non-Financial Corporate Sector Using Industry- and Firm-Level Data","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"State Capitalism and Financial Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Shock (circulatory); Business; Debt; Financial sector; Financial system; Monetary economics; Corporate debt; Finance; Economics","score_opus":0.20088358773277012,"score_gpt":0.2773245309240304,"score_spread":0.0764409431912603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936589802","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":[0.9890344,0.00016835194,0.0005345493,0.00019039387,0.0000047866606,0.00003800063,0.005488659,0.000014676251,0.004526052],"genre_scores_gemma":[0.9919704,0.00016993079,0.00045929805,0.000024726494,0.000012076847,0.000031174284,0.006621036,0.0000028653856,0.0007084631],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986362,0.0002669205,0.00017438243,0.00016522578,0.0004582668,0.00029905542],"domain_scores_gemma":[0.9757926,0.0038130747,0.015044824,0.0009021055,0.0028846832,0.0015626397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015029866,0.00029072407,0.00022405377,0.0050254874,0.00040205228,0.0014330177,0.00034703515,0.00039117772,0.0020073967],"category_scores_gemma":[0.0087940255,0.00012989031,0.00030193792,0.006486047,0.00036187438,0.0011981804,0.0015143703,0.0005967393,0.0004730753],"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":[0.000009761121,0.00003406703,0.99467033,0.000017584855,0.000040453782,0.00003262659,0.00016798278,0.00074162596,0.00016475428,0.00041408953,0.000598179,0.0031084171],"study_design_scores_gemma":[0.0000021409844,0.00002841676,0.9959174,0.000015348198,0.000015463105,0.000035390432,0.00052073976,0.0013133702,0.0003664856,0.00036271976,0.0014142653,0.000008364852],"about_ca_topic_score_codex":0.037281927,"about_ca_topic_score_gemma":0.058734387,"teacher_disagreement_score":0.037281927,"about_ca_system_score_codex":0.0011145279,"about_ca_system_score_gemma":0.0013876065,"threshold_uncertainty_score":0.07412988},"labels":[],"label_agreement":null},{"id":"W2936866000","doi":"10.34989/san-2017-5","title":"April 2017 Annual Reassessment of Potential Output Growth in Canada","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Potential output; Annual growth %; Economics; Monetary policy; Agricultural economics; Macroeconomics","score_opus":0.018464009306030076,"score_gpt":0.2907843427198992,"score_spread":0.27232033341386913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936866000","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":[0.063453704,0.027624886,0.003678144,0.19606137,0.015954131,0.0004940229,0.16431156,0.0022862828,0.5261358],"genre_scores_gemma":[0.47801337,0.041463196,0.012348051,0.02371515,0.0017144675,0.00046237017,0.08569994,0.0014462606,0.35513714],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9826826,0.00037741012,0.00038096227,0.00044914772,0.013869936,0.0022398876],"domain_scores_gemma":[0.9796958,0.00045931095,0.00039313862,0.0003087714,0.017640576,0.0015024177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005834888,0.0009242627,0.00060473476,0.005834617,0.0060398425,0.00910342,0.001984772,0.0017692181,0.009290207],"category_scores_gemma":[0.017001392,0.0005567754,0.0008268873,0.008376718,0.0016996079,0.0017317794,0.0021358125,0.003360738,0.0022972156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114053,0.00002543435,0.008554038,0.0002506814,0.000034011107,0.00017682774,0.0008435055,0.0019743887,0.0004512291,0.019892659,0.9186417,0.049041662],"study_design_scores_gemma":[0.00001030395,0.000018482275,0.03907085,0.00027614657,0.000018212659,0.000046113615,0.0012821554,0.001072859,0.00066028663,0.0012587156,0.9561884,0.00009751924],"about_ca_topic_score_codex":0.99493545,"about_ca_topic_score_gemma":0.9937955,"teacher_disagreement_score":0.15829551,"about_ca_system_score_codex":0.15829551,"about_ca_system_score_gemma":0.26449868,"threshold_uncertainty_score":0.9762579},"labels":[],"label_agreement":null},{"id":"W2937406006","doi":"10.34989/san-2019-9","title":"Could Canadian Bond Funds Add Stress to the Financial System?","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Global Financial Crisis and Policies","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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Bond; Business; Bond market; Financial system; Finance","score_opus":0.02729716493124961,"score_gpt":0.2398820460246891,"score_spread":0.21258488109343948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937406006","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":[0.49686626,0.0022488658,0.0012691462,0.20981288,0.00046167366,0.00014514208,0.0055081164,0.000120570774,0.28356737],"genre_scores_gemma":[0.9834169,0.0013685765,0.0003765639,0.004330801,0.00010745917,0.000020186051,0.000445312,0.0000074302056,0.009926689],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987733,0.00017590605,0.000019958836,0.00009517444,0.00027935946,0.00065625843],"domain_scores_gemma":[0.99812347,0.00031229825,0.00026419034,0.000075711076,0.00066838984,0.0005560144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013450544,0.00036716735,0.00034657278,0.001102691,0.0048867157,0.0046512494,0.00085741316,0.003105391,0.012907951],"category_scores_gemma":[0.0066054044,0.00017505084,0.00040416617,0.0018821904,0.0017811236,0.0018014482,0.00089707226,0.0017364813,0.00050719426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004116629,0.00012721236,0.1636781,0.0001497105,0.000086035485,0.00187794,0.002955516,0.011209801,0.0010773864,0.68729293,0.09331071,0.03782298],"study_design_scores_gemma":[0.0006592644,0.00033825485,0.2569762,0.00045314294,0.00032772747,0.0009764542,0.030502245,0.039421342,0.0025048917,0.14343196,0.52401114,0.00039732823],"about_ca_topic_score_codex":0.9500405,"about_ca_topic_score_gemma":0.9696293,"teacher_disagreement_score":0.04995948,"about_ca_system_score_codex":0.03752929,"about_ca_system_score_gemma":0.031172387,"threshold_uncertainty_score":0.27229536},"labels":[],"label_agreement":null},{"id":"W2938204480","doi":"10.34989/san-2017-2","title":"What Explains the Recent Increase in Canadian Corporate Bond Spreads","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Remuneration; Obligation; Bond; Political science; Compensation (psychology); Humanities; Economics; Business; Philosophy; Finance; Law; Psychology","score_opus":0.056032665145942774,"score_gpt":0.2518592531544768,"score_spread":0.19582658800853406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938204480","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":[0.80474687,0.016271818,0.0017760472,0.05935923,0.00039064692,0.00005789594,0.007260795,0.00020639054,0.10993038],"genre_scores_gemma":[0.986225,0.0045057083,0.0003401442,0.0012061753,0.00014171115,0.000004626777,0.00088847807,0.000025072039,0.0066631283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993168,0.000023866913,0.000029262215,0.000121290585,0.00031897964,0.00018971873],"domain_scores_gemma":[0.99416757,0.00041285882,0.0014638163,0.00025598955,0.0030845357,0.0006152071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009618766,0.0002226642,0.00028181152,0.001745094,0.0016845401,0.0030173871,0.00086134864,0.0011579065,0.0070533017],"category_scores_gemma":[0.007294635,0.00022291145,0.0003724695,0.0029669518,0.0009689517,0.0011741627,0.0005352431,0.0013255714,0.0005935291],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033611892,0.00010303936,0.6800726,0.00052386726,0.00029517783,0.0021654828,0.004679862,0.007102777,0.006512782,0.06545363,0.10284935,0.12990528],"study_design_scores_gemma":[0.00002125745,0.00001789219,0.92069894,0.00014883654,0.000062700514,0.00034753967,0.0014124477,0.0022732685,0.0012599123,0.0031156954,0.07056547,0.00007601175],"about_ca_topic_score_codex":0.96104133,"about_ca_topic_score_gemma":0.9669622,"teacher_disagreement_score":0.03895867,"about_ca_system_score_codex":0.02880707,"about_ca_system_score_gemma":0.013784411,"threshold_uncertainty_score":0.2090109},"labels":[],"label_agreement":null},{"id":"W2939200379","doi":"10.34989/san-2019-8","title":"Non-Resident Taxes and the Role of House Price Expectations","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; House price; Monetary economics; Microeconomics","score_opus":0.01246113618830597,"score_gpt":0.28808449648284684,"score_spread":0.2756233602945409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939200379","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":[0.8569653,0.0010250375,0.001171122,0.008919744,0.00003232196,0.000022510889,0.00041080595,0.000026445328,0.13142677],"genre_scores_gemma":[0.99645954,0.00015283714,0.000039790863,0.0000837857,0.000006581369,0.0000016393293,0.000044820146,0.0000039473734,0.0032071637],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991943,0.00028297392,0.000022790968,0.00006509921,0.00019307969,0.00024175252],"domain_scores_gemma":[0.99075526,0.0044100927,0.0018671005,0.0003218946,0.0013614525,0.0012841477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001672779,0.00019654926,0.00035227503,0.00041363045,0.0013186409,0.004075149,0.00063945557,0.0008971094,0.007143607],"category_scores_gemma":[0.012563262,0.00020735158,0.0002085609,0.0005411333,0.0017708637,0.0011645212,0.0006337868,0.0015133461,0.00043540684],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006887573,0.0005505912,0.68871677,0.000080543556,0.000166564,0.00085884123,0.0052041207,0.010968233,0.0004685254,0.24807325,0.0101129515,0.034110926],"study_design_scores_gemma":[0.000083875726,0.00014942813,0.8133928,0.00013791642,0.00009190658,0.00023313126,0.010229748,0.01628199,0.00052055664,0.14039364,0.018408574,0.00007653347],"about_ca_topic_score_codex":0.30699092,"about_ca_topic_score_gemma":0.41059408,"teacher_disagreement_score":0.99305147,"about_ca_system_score_codex":0.0069485446,"about_ca_system_score_gemma":0.004368081,"threshold_uncertainty_score":0.61040807},"labels":[],"label_agreement":null},{"id":"W2939938145","doi":"10.34989/san-2017-17","title":"Global Factors and Inflation in Canada","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Monetary Policy and Economic Impact","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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Humanities; Inflation (cosmology); Political science; Economics; Physics; Philosophy","score_opus":0.05281009984727746,"score_gpt":0.23090668312523904,"score_spread":0.17809658327796157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939938145","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":[0.8686631,0.0059173075,0.0006495777,0.019330991,0.00021885114,0.00003859156,0.01023454,0.00008911754,0.094858035],"genre_scores_gemma":[0.99138546,0.0017829634,0.00017732645,0.0003663527,0.000036504014,0.000004249344,0.0014975019,0.000015845004,0.0047338293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990662,0.000040843643,0.000037072874,0.00006520779,0.0003566088,0.00043418602],"domain_scores_gemma":[0.9966536,0.00020596028,0.00046168632,0.00007541395,0.0019660057,0.00063737563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065773516,0.00015712132,0.00028077577,0.0017807191,0.0023811653,0.002123622,0.0003477111,0.00030317742,0.0038597172],"category_scores_gemma":[0.0048798453,0.00012440543,0.00045268468,0.005705972,0.0010015373,0.0004721977,0.0012718235,0.0012056873,0.00021236147],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025859027,0.00003681913,0.8638865,0.00016689634,0.00014410584,0.0005925818,0.0044835187,0.0030584247,0.0002641743,0.037295543,0.025819024,0.063993804],"study_design_scores_gemma":[0.000009497595,0.00001739874,0.9709562,0.0001195705,0.000052155636,0.000116068106,0.002664214,0.0012869647,0.00018887062,0.0022137193,0.022333816,0.00004146386],"about_ca_topic_score_codex":0.9926704,"about_ca_topic_score_gemma":0.99383074,"teacher_disagreement_score":0.040735062,"about_ca_system_score_codex":0.040735062,"about_ca_system_score_gemma":0.05191588,"threshold_uncertainty_score":0.295555},"labels":[],"label_agreement":null},{"id":"W2940450339","doi":"10.34989/san-2017-12","title":"A Dynamic Factor Model for Commodity Prices","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","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":"Bank of Canada","funders":"","keywords":"Commodity; Component (thermodynamics); Dynamic factor; Economics; Shock (circulatory); Factor analysis; Factor (programming language); Econometrics; Computer science; Finance","score_opus":0.0768684518093925,"score_gpt":0.2780962185710499,"score_spread":0.20122776676165738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940450339","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":[0.025136275,0.0009374779,0.94420075,0.0020859283,0.00019348072,0.00007430137,0.001714423,0.00033519638,0.025322108],"genre_scores_gemma":[0.7514202,0.0034445722,0.17089374,0.00046455004,0.00049628783,0.00049432804,0.0028847747,0.0003173638,0.06958421],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993844,0.00019844937,0.000024746427,0.00019463067,0.00012137482,0.00007629738],"domain_scores_gemma":[0.999371,0.00031057876,0.00009310915,0.00006661004,0.000115011295,0.000043690015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013625758,0.00090658694,0.0008547934,0.0009287782,0.0005435792,0.0024240296,0.0016490874,0.0015197289,0.011049513],"category_scores_gemma":[0.0035784317,0.000619077,0.0014799034,0.002053178,0.0008537548,0.0036088496,0.00084399024,0.0016684589,0.0021312747],"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":[0.00003186544,0.000023890794,0.0012646616,0.000038162747,0.000059551156,0.00012052435,0.00011182732,0.32859233,0.00043233976,0.65356463,0.004082882,0.011677333],"study_design_scores_gemma":[0.00002590795,0.000026227623,0.00053693354,0.000016194144,0.000022720229,0.00008849376,0.000036023455,0.7062576,0.0000833598,0.2812203,0.011659124,0.000027175363],"about_ca_topic_score_codex":0.0168133,"about_ca_topic_score_gemma":0.010403512,"teacher_disagreement_score":0.0168133,"about_ca_system_score_codex":0.0016800171,"about_ca_system_score_gemma":0.0013962374,"threshold_uncertainty_score":0.036964297},"labels":[],"label_agreement":null},{"id":"W2940661678","doi":"10.34989/san-2019-12","title":"Disentangling the Factors Driving Housing Resales","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Housing Market and Economics","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":"Bank of Canada","funders":"","keywords":"Microdata (statistics); Economics; Business; Labour economics; Environmental health; Census","score_opus":0.0453236965184833,"score_gpt":0.24657438024365358,"score_spread":0.20125068372517027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940661678","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":[0.9747395,0.00056304445,0.013675459,0.0012231417,0.000075829055,0.000097559394,0.0062469104,0.00011801355,0.0032604996],"genre_scores_gemma":[0.987708,0.00018132299,0.0016645736,0.00007299644,0.000033186956,0.000046509274,0.006086795,0.000029748822,0.004176823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992853,0.00016693177,0.00007440205,0.00020229862,0.00009336132,0.0001776185],"domain_scores_gemma":[0.9963558,0.0012977155,0.0014221972,0.00032335657,0.00029111042,0.00030986356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021408356,0.00057508674,0.0006332673,0.0013783074,0.0004503729,0.0013607253,0.00085702364,0.00070756377,0.004987866],"category_scores_gemma":[0.005452121,0.00039460478,0.0011996569,0.0015720857,0.0004461754,0.0013316808,0.0015170838,0.001517541,0.0010348931],"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":[0.00014305924,0.00017960905,0.954927,0.00006322217,0.00037650886,0.00038346753,0.00044545674,0.017619831,0.0005844656,0.0063297227,0.0040496606,0.014898039],"study_design_scores_gemma":[0.000026956024,0.00010485811,0.8840186,0.000052555435,0.00014187518,0.00012306514,0.0011974294,0.098966785,0.0007200998,0.005236852,0.009362473,0.00004847099],"about_ca_topic_score_codex":0.048417717,"about_ca_topic_score_gemma":0.080765575,"teacher_disagreement_score":0.048417717,"about_ca_system_score_codex":0.00070770644,"about_ca_system_score_gemma":0.00078691426,"threshold_uncertainty_score":0.09627181},"labels":[],"label_agreement":null},{"id":"W2940796751","doi":"10.34989/san-2019-10","title":"Potential Output in Canada: 2019 Reassessment","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Canadian Policy and Governance","field":"Social 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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Potential output; Productivity; Economics; Environmental science; Monetary economics; Macroeconomics","score_opus":0.017459086860934284,"score_gpt":0.29293018755245437,"score_spread":0.2754711006915201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940796751","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28362426,0.005927284,0.004062951,0.17617577,0.004040886,0.00032505186,0.3177931,0.0019178784,0.20613283],"genre_scores_gemma":[0.84195566,0.0028699676,0.002538079,0.009742835,0.00035525896,0.00013218007,0.06738166,0.00031455024,0.07470985],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963503,0.00010349983,0.00011568714,0.00020482161,0.0021695776,0.0010562027],"domain_scores_gemma":[0.98765683,0.00036334308,0.0004121571,0.0001920476,0.00980533,0.0015701975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035496019,0.00061596395,0.00047625042,0.0022538085,0.0025933734,0.0044742404,0.0019617127,0.0012845969,0.00844569],"category_scores_gemma":[0.013694964,0.00033917162,0.0007080299,0.0038743177,0.0009371053,0.0011484748,0.0016517248,0.002096546,0.0014476017],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006054132,0.00011924853,0.12809902,0.0005182583,0.00016286196,0.00073916314,0.0017835234,0.013335621,0.0009601459,0.02108188,0.7536478,0.07894717],"study_design_scores_gemma":[0.00007003359,0.00014520476,0.42613724,0.00044747072,0.00007727918,0.00012145995,0.0032403488,0.012456675,0.002518119,0.0028546888,0.5517263,0.00020515366],"about_ca_topic_score_codex":0.99277145,"about_ca_topic_score_gemma":0.9928611,"teacher_disagreement_score":0.9062625,"about_ca_system_score_codex":0.09373751,"about_ca_system_score_gemma":0.14074607,"threshold_uncertainty_score":0.6801164},"labels":[],"label_agreement":null},{"id":"W2942289175","doi":"10.34989/san-2018-38","title":"Does US or Canadian Macro News Drive Canadian Bond Yields?","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Monetary Policy and Economic Impact","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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Macro; Bond; Government bond; Variation (astronomy); Economics; Government (linguistics); Monetary economics; Econometrics; Finance; Computer science","score_opus":0.054036690082942825,"score_gpt":0.2406296039759935,"score_spread":0.1865929138930507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942289175","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":[0.8283491,0.008855044,0.0014488482,0.020584878,0.00043302946,0.00005310116,0.02404991,0.00013130286,0.11609479],"genre_scores_gemma":[0.98755753,0.0028460047,0.00025181318,0.0005002481,0.00008267766,0.0000062320432,0.0025816045,0.000029393528,0.0061444747],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995945,0.000029016095,0.000014630283,0.00006361581,0.0001623486,0.00013595259],"domain_scores_gemma":[0.99610883,0.0005197119,0.00081479823,0.00011076696,0.0020446437,0.00040116505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079800334,0.00032466545,0.0002798879,0.00113689,0.0015923361,0.0029597485,0.00035438448,0.00045325287,0.007821829],"category_scores_gemma":[0.008701866,0.00017585822,0.00027373523,0.002606871,0.00044627624,0.0007569419,0.00045404898,0.0006904718,0.00062754145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036052932,0.00004222375,0.8558221,0.0002100069,0.00021646998,0.000337486,0.0024832436,0.0031916418,0.001215284,0.017753743,0.061264127,0.057103064],"study_design_scores_gemma":[0.000017334729,0.000018429191,0.9473668,0.00010280938,0.00012418398,0.00007082035,0.0020599545,0.0046019955,0.000597138,0.0014348605,0.043550342,0.000055379795],"about_ca_topic_score_codex":0.9818656,"about_ca_topic_score_gemma":0.98474795,"teacher_disagreement_score":0.018134415,"about_ca_system_score_codex":0.015670752,"about_ca_system_score_gemma":0.013770586,"threshold_uncertainty_score":0.113699794},"labels":[],"label_agreement":null},{"id":"W2943198537","doi":"10.34989/san-2019-13","title":"Assessing Global Potential Output Growth: April 2019","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Economic and Technological Developments in Russia","field":"Social 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":"Bank of Canada","funders":"","keywords":"Potential output; Horizon; Projection (relational algebra); Economics; Econometrics; Mathematics; Macroeconomics; Monetary policy; Algorithm","score_opus":0.03999656113776515,"score_gpt":0.3344140968055803,"score_spread":0.29441753566781514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943198537","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":[0.17409986,0.005906079,0.019771433,0.021541396,0.004808947,0.00044628402,0.26569265,0.0019114409,0.5058219],"genre_scores_gemma":[0.77318084,0.0054375525,0.010931979,0.001411055,0.000773569,0.00056229794,0.12207809,0.00041142243,0.08521317],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927336,0.00007943381,0.00003467196,0.00005270879,0.0004668854,0.00009295721],"domain_scores_gemma":[0.99880874,0.000088190616,0.00010976317,0.00003668361,0.00087247544,0.00008405671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011575498,0.00088642084,0.00027237865,0.0015384839,0.000427425,0.0027465837,0.0005963717,0.0007078322,0.0064340653],"category_scores_gemma":[0.0036344305,0.00021432196,0.00042824232,0.0019644697,0.00029592976,0.0019673747,0.0015574278,0.00094424514,0.0034483531],"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":[0.0012153297,0.0001373713,0.11059116,0.0013897317,0.0003030806,0.0010274173,0.00073360757,0.06725447,0.002886663,0.048703644,0.5648396,0.20091788],"study_design_scores_gemma":[0.00005161415,0.00039029747,0.18368404,0.0005432802,0.0001299105,0.00022606483,0.0015764895,0.034210667,0.008455027,0.020026423,0.7505785,0.00012769364],"about_ca_topic_score_codex":0.03632799,"about_ca_topic_score_gemma":0.041556656,"teacher_disagreement_score":0.03632799,"about_ca_system_score_codex":0.0035857093,"about_ca_system_score_gemma":0.00240145,"threshold_uncertainty_score":0.07223308},"labels":[],"label_agreement":null},{"id":"W2943250111","doi":"","title":"Production potentielle au Canada : réévaluation de 2019","year":2019,"lang":"fr","type":"article","venue":"Staff Analytical Notes","topic":"Social Sciences and Governance","field":"Social Sciences","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":"Production (economics); Economics","score_opus":0.021088046487611624,"score_gpt":0.2948477923645264,"score_spread":0.27375974587691476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943250111","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7947068,0.006766002,0.0030949851,0.017798964,0.00023086437,0.00018290206,0.07661314,0.00033580096,0.10027051],"genre_scores_gemma":[0.9511014,0.003273665,0.0021230986,0.0007458878,0.000040501094,0.000040364634,0.012768202,0.000047535996,0.029859308],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981988,0.000060938633,0.000059728864,0.00014726497,0.0011514233,0.00038190183],"domain_scores_gemma":[0.993119,0.0002482346,0.00039306676,0.00012145141,0.0055732434,0.00054495304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016532999,0.00033354675,0.00031834777,0.0027518156,0.0017427356,0.003590232,0.0009543838,0.00045722985,0.005141191],"category_scores_gemma":[0.0041360967,0.00022162782,0.0003810263,0.007100821,0.00085728616,0.0008441234,0.00091462367,0.00078711443,0.0004496203],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007513885,0.0001681628,0.629723,0.00084186427,0.00038599657,0.0010817363,0.0098919775,0.012670745,0.005731722,0.023926385,0.091844514,0.22298251],"study_design_scores_gemma":[0.000013190383,0.000079399186,0.8164732,0.00020928416,0.000063149935,0.00007884473,0.005314323,0.004100298,0.0021969618,0.00083701126,0.17056383,0.00007055703],"about_ca_topic_score_codex":0.9952265,"about_ca_topic_score_gemma":0.9965274,"teacher_disagreement_score":0.08031449,"about_ca_system_score_codex":0.08031449,"about_ca_system_score_gemma":0.095751606,"threshold_uncertainty_score":0.5827251},"labels":[],"label_agreement":null},{"id":"W2943475168","doi":"","title":"Le taux neutre au Canada : mise à jour de 2019","year":2019,"lang":"fr","type":"article","venue":"Staff Analytical Notes","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","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":"Humanities; Philosophy","score_opus":0.013108855579975303,"score_gpt":0.21837264587401914,"score_spread":0.20526379029404385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943475168","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":[0.1349538,0.16731003,0.009739605,0.31532753,0.008961115,0.00013931541,0.0058211773,0.00036339776,0.35738415],"genre_scores_gemma":[0.6927884,0.07123228,0.008291963,0.010841824,0.0008113215,0.00004869737,0.0016796429,0.0001602874,0.21414553],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99776816,0.0001762295,0.00006380297,0.00026517143,0.0012716459,0.00045502465],"domain_scores_gemma":[0.99644166,0.0002474141,0.00012496686,0.000051193794,0.002572041,0.0005627176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002038531,0.0005189464,0.00047893095,0.0025442387,0.006781695,0.007750856,0.00080800155,0.0015740688,0.0075034685],"category_scores_gemma":[0.004879095,0.000273095,0.00033283458,0.004181918,0.0033760525,0.0016633848,0.0014077987,0.002470204,0.00058440224],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007743666,0.00008389752,0.02019447,0.0013175517,0.00014534427,0.00083132414,0.015012999,0.0040952703,0.0037916638,0.2517654,0.26671052,0.43527713],"study_design_scores_gemma":[0.00001575007,0.000057119814,0.023663936,0.0007849265,0.000055244334,0.0000967335,0.0077818115,0.00083875656,0.0022519608,0.008499781,0.9558302,0.000123666],"about_ca_topic_score_codex":0.9863231,"about_ca_topic_score_gemma":0.99007225,"teacher_disagreement_score":0.10495476,"about_ca_system_score_codex":0.10495476,"about_ca_system_score_gemma":0.12464188,"threshold_uncertainty_score":0.76150364},"labels":[],"label_agreement":null},{"id":"W2945969702","doi":"10.34989/san-2019-16","title":"Évaluer la résilience du système bancaire canadien","year":2019,"lang":"fr","type":"article","venue":"Staff Analytical Notes","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","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":"Political science; Humanities; Philosophy","score_opus":0.012962306992164939,"score_gpt":0.22413334697552564,"score_spread":0.2111710399833607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945969702","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":[0.9753701,0.0006323891,0.009847957,0.0008926446,0.000036165897,0.00004958051,0.0004999994,0.000083124425,0.012588121],"genre_scores_gemma":[0.99448276,0.00018094084,0.001862516,0.000041321484,0.000005293974,0.000030816445,0.00029792584,0.000016721091,0.0030816537],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99961996,0.00014997687,0.000013471786,0.00006405563,0.000070989256,0.000081465994],"domain_scores_gemma":[0.9977157,0.0013307004,0.00022643618,0.00014664783,0.00040751207,0.00017296584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019941886,0.00040282856,0.00056791946,0.0012007505,0.00056083367,0.0019008694,0.00041812332,0.00081183726,0.008946728],"category_scores_gemma":[0.008023508,0.00018838746,0.0005631671,0.0012697242,0.0008799738,0.0013519755,0.0011834922,0.00092605833,0.0005122459],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006772765,0.0002004841,0.12390474,0.00024401156,0.00052021357,0.0003476823,0.0016207388,0.7686907,0.0025977648,0.054464035,0.00289523,0.043837115],"study_design_scores_gemma":[0.00008721091,0.00052983663,0.11358595,0.00016024425,0.0002901033,0.00010731157,0.0037551809,0.82484806,0.0019465343,0.042347133,0.012254092,0.000088409666],"about_ca_topic_score_codex":0.07578342,"about_ca_topic_score_gemma":0.051720362,"teacher_disagreement_score":0.92421657,"about_ca_system_score_codex":0.0028134077,"about_ca_system_score_gemma":0.0019093424,"threshold_uncertainty_score":0.15068465},"labels":[],"label_agreement":null},{"id":"W2956829337","doi":"10.34989/san-2019-21","title":"The Effects of Inflation Targeting for Financial Development","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Economic Growth and Development","field":"Computer Science","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":"Bank of Canada","funders":"","keywords":"Inflation (cosmology); Inflation targeting; Financial sector; Central bank; Economics; Financial sector development; Monetary economics; Financial system; Monetary policy; Business; Finance","score_opus":0.008753123252856081,"score_gpt":0.22873376736860535,"score_spread":0.21998064411574927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956829337","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":[0.9656949,0.0029916768,0.0006172632,0.0057739634,0.00013049858,0.000023802622,0.0005569477,0.0000609275,0.024149934],"genre_scores_gemma":[0.9983187,0.00040774277,0.000098997145,0.00020903861,0.000058234007,0.000005869592,0.00006615753,0.000003934619,0.00083134515],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972414,0.0014821354,0.00009225295,0.00020121592,0.00027325097,0.0007097463],"domain_scores_gemma":[0.95611054,0.024617633,0.013542881,0.00060752226,0.0018100839,0.0033113868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023975782,0.00026736426,0.0002572288,0.0005637148,0.00041159574,0.0015689491,0.0002178934,0.00071154593,0.0056662476],"category_scores_gemma":[0.020030124,0.00010237128,0.0005108129,0.0009576456,0.0006223642,0.00070760865,0.0010800868,0.0012336611,0.0005248117],"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":[0.003771911,0.0010833183,0.82162887,0.00043040616,0.00052007684,0.00094826316,0.0009357847,0.008032006,0.004353144,0.020212157,0.00794638,0.13013783],"study_design_scores_gemma":[0.000089537425,0.00076791993,0.984219,0.00008613966,0.00029810905,0.00014421856,0.0006110807,0.0027003807,0.00223264,0.0032826995,0.005543525,0.000024808576],"about_ca_topic_score_codex":0.0073767602,"about_ca_topic_score_gemma":0.008051931,"teacher_disagreement_score":0.0073767602,"about_ca_system_score_codex":0.0012728046,"about_ca_system_score_gemma":0.0012322788,"threshold_uncertainty_score":0.018955529},"labels":[],"label_agreement":null},{"id":"W2964504048","doi":"10.34989/san-2019-23","title":"Relative Value of Government of Canada Bonds","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Canadian Policy and Governance","field":"Social 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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.014433069143871656,"score_gpt":0.2748302605442889,"score_spread":0.2603971914004172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964504048","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":[0.5933877,0.007872092,0.0014163476,0.009017241,0.00023449761,0.000055390145,0.009199424,0.00012371519,0.3786936],"genre_scores_gemma":[0.9826879,0.0010925304,0.0002731102,0.00017487923,0.00002969219,0.0000063831226,0.0007693864,0.00001889546,0.014947347],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99607795,0.0002798374,0.000107334396,0.00031621612,0.0024048197,0.0008137767],"domain_scores_gemma":[0.9883736,0.0011874244,0.0015029815,0.00032575213,0.007036655,0.0015736712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001295005,0.0002151561,0.00038067266,0.003267204,0.0026464122,0.0062063956,0.0007563939,0.0008126016,0.009235129],"category_scores_gemma":[0.021292653,0.00017293495,0.00024734487,0.005979128,0.0010153648,0.0010839708,0.00085625343,0.0012426713,0.00046178233],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009190603,0.00009911573,0.24386334,0.00038403991,0.00045801984,0.0009322163,0.0026045542,0.017371308,0.0031201895,0.5091455,0.08053621,0.14056645],"study_design_scores_gemma":[0.0001217048,0.00017164896,0.63642186,0.0004990177,0.0004567407,0.0010297209,0.009565364,0.027858308,0.003926733,0.044721585,0.27497217,0.0002551934],"about_ca_topic_score_codex":0.93102926,"about_ca_topic_score_gemma":0.9527055,"teacher_disagreement_score":0.9350254,"about_ca_system_score_codex":0.06497462,"about_ca_system_score_gemma":0.01948942,"threshold_uncertainty_score":0.47142607},"labels":[],"label_agreement":null},{"id":"W2967847192","doi":"10.34989/san-2019-25","title":"Using Exchange-Traded Funds to Measure Liquidity in the Canadian Corporate Bond Market","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Banking stability, regulation, efficiency","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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Welfare economics; Market liquidity; Humanities; Physics; Monetary economics; Philosophy","score_opus":0.12625652596023682,"score_gpt":0.27801726288713385,"score_spread":0.15176073692689704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967847192","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":[0.896811,0.006835261,0.011604455,0.0030008422,0.00016712182,0.00025301272,0.017040757,0.00019747241,0.06409003],"genre_scores_gemma":[0.97499305,0.00240928,0.007945709,0.00018031677,0.00007845735,0.00007796053,0.0046313084,0.000022029848,0.009661861],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987937,0.00010066079,0.000056990026,0.00008831453,0.0007971339,0.00016311319],"domain_scores_gemma":[0.9964617,0.00031959589,0.0007576856,0.00011737155,0.0019965973,0.00034717226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013399393,0.00036025658,0.0002105393,0.0035847826,0.0015126445,0.002264851,0.0005588005,0.00035674643,0.0025960268],"category_scores_gemma":[0.0073433584,0.0001047967,0.0003526033,0.004425915,0.00044821645,0.0007479279,0.00080369785,0.0005407002,0.00022995837],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000339983,0.00017653432,0.73138285,0.00037189608,0.00030161525,0.000497386,0.0028454324,0.011724879,0.00561129,0.048632152,0.028327798,0.16978818],"study_design_scores_gemma":[0.00011291749,0.000106047846,0.88861364,0.00018736497,0.00019897365,0.00025962593,0.0013061934,0.023431124,0.005801607,0.0048902887,0.07490302,0.00018923977],"about_ca_topic_score_codex":0.9700375,"about_ca_topic_score_gemma":0.98059684,"teacher_disagreement_score":0.02996248,"about_ca_system_score_codex":0.016116124,"about_ca_system_score_gemma":0.015345796,"threshold_uncertainty_score":0.11693126},"labels":[],"label_agreement":null},{"id":"W2969366202","doi":"10.34989/san-2019-26","title":"Bridging Canadian Business Lending and Market-Based Risk Measures","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Banking stability, regulation, efficiency","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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Bridging (networking); Business; Investment (military); Financial system; Market risk; Financial risk management; Financial market; Financial risk; Finance; Monetary economics; Risk management; Economics","score_opus":0.024463980123602902,"score_gpt":0.22756169213463306,"score_spread":0.20309771201103016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969366202","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":[0.7723829,0.008004846,0.008759195,0.030085454,0.0001799993,0.00009824808,0.0037630547,0.00013649114,0.17658983],"genre_scores_gemma":[0.991625,0.0017538659,0.0016598642,0.00030323234,0.000040745712,0.000019229721,0.00039750003,0.000014879443,0.004185734],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976738,0.0005028264,0.000084555984,0.000180614,0.0012157792,0.0003424405],"domain_scores_gemma":[0.9861361,0.00457152,0.0019537534,0.00044593815,0.005903598,0.0009891185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031046649,0.0003478953,0.00035704585,0.0031480943,0.0020492813,0.0033858179,0.0007483089,0.00045816108,0.0050262315],"category_scores_gemma":[0.020236433,0.00016921654,0.00043740196,0.005469085,0.0015244837,0.0011632993,0.0016909024,0.0010848286,0.00017546595],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030197905,0.0001323026,0.59098166,0.0002454419,0.00023079284,0.0005070526,0.009640317,0.010200326,0.00047256163,0.17637476,0.03545536,0.17545743],"study_design_scores_gemma":[0.000021986794,0.00003615332,0.8971901,0.00020563143,0.00011549485,0.00012324826,0.008778947,0.014800261,0.0007191686,0.030364132,0.047476444,0.00016849895],"about_ca_topic_score_codex":0.979425,"about_ca_topic_score_gemma":0.9801245,"teacher_disagreement_score":0.0384175,"about_ca_system_score_codex":0.0384175,"about_ca_system_score_gemma":0.02843583,"threshold_uncertainty_score":0.2787398},"labels":[],"label_agreement":null},{"id":"W2980085636","doi":"10.34989/san-2019-28","title":"Borrowing Costs for Government of Canada Treasury Bills","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Corporate Taxation and Avoidance","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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Treasury; Cash; Business; Government (linguistics); Monetary economics; Bond; Finance; Service (business); Interest rate; Economics; Commerce; Law; Marketing","score_opus":0.01961272654463493,"score_gpt":0.22103534361203317,"score_spread":0.20142261706739822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980085636","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53245276,0.0018044475,0.002460602,0.0034816118,0.00011380328,0.00019781904,0.005391678,0.00026231416,0.453835],"genre_scores_gemma":[0.93366975,0.0008955542,0.0012357305,0.00017406301,0.000042800475,0.000035674988,0.0024289005,0.000068700974,0.061448723],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978175,0.00020428808,0.00012205685,0.0001340205,0.0012714529,0.00045068472],"domain_scores_gemma":[0.9954235,0.0009991778,0.00077363267,0.0004907553,0.0016386303,0.00067428616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011140157,0.0002302493,0.00028031893,0.0019675002,0.0016943178,0.00285839,0.0007325142,0.0006699229,0.02671067],"category_scores_gemma":[0.010970328,0.00023802802,0.00050120556,0.0027078679,0.00053134706,0.00079019764,0.00085635995,0.0009406839,0.0015792164],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017142526,0.00038356998,0.17417848,0.00033442903,0.00021615313,0.00189904,0.001993524,0.019403443,0.008518986,0.24540369,0.118631616,0.4273228],"study_design_scores_gemma":[0.00018550668,0.00025801588,0.63712865,0.0002523658,0.00025713697,0.0021094352,0.0045095305,0.027078738,0.0073060426,0.017222727,0.30350778,0.0001840643],"about_ca_topic_score_codex":0.64127207,"about_ca_topic_score_gemma":0.7247423,"teacher_disagreement_score":0.35872793,"about_ca_system_score_codex":0.01599894,"about_ca_system_score_gemma":0.015712578,"threshold_uncertainty_score":0.7216811},"labels":[],"label_agreement":null},{"id":"W2987769830","doi":"10.34989/san-2019-29","title":"Cashless Bank Branches in Canada","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Cheque; Cash; Business; Financial system; Bank account; Commerce; Finance; Payment; Computer science; Computer security","score_opus":0.02532461382654082,"score_gpt":0.22960234802144877,"score_spread":0.20427773419490794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987769830","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":[0.8327362,0.0066979164,0.00050038646,0.030271031,0.00030342565,0.00016302035,0.006835707,0.00014287014,0.12234944],"genre_scores_gemma":[0.9380981,0.0030813788,0.00048828684,0.0036139402,0.00004837312,0.000028792554,0.0011933368,0.00003122828,0.053416584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973556,0.00007548492,0.000066485605,0.00027675717,0.0009853153,0.0012404756],"domain_scores_gemma":[0.9912657,0.00044437472,0.00065223087,0.00013705266,0.002939706,0.0045608804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008774574,0.00019492424,0.00037079945,0.0016847895,0.00991374,0.0048182826,0.0017486553,0.0013052318,0.01337042],"category_scores_gemma":[0.003951363,0.00041452947,0.0003029659,0.0042098733,0.002068786,0.00085359573,0.001941599,0.0023082243,0.0007392904],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009236353,0.0004061413,0.47874412,0.00051194517,0.00013256544,0.0053104344,0.0151927965,0.001852899,0.002712889,0.13628921,0.1643351,0.19358832],"study_design_scores_gemma":[0.0001510864,0.0001045258,0.6987108,0.0005487327,0.00009835083,0.00067217456,0.021734972,0.0030122632,0.00089083903,0.0037315886,0.27019992,0.00014471548],"about_ca_topic_score_codex":0.99681634,"about_ca_topic_score_gemma":0.99912673,"teacher_disagreement_score":0.10741818,"about_ca_system_score_codex":0.10741818,"about_ca_system_score_gemma":0.20361534,"threshold_uncertainty_score":0.7793771},"labels":[],"label_agreement":null},{"id":"W2995052175","doi":"10.34989/san-2019-31","title":"2018 Merchant Acceptance Survey","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Sharing Economy and Platforms","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Payment; Cash; Business; Commerce; Finance","score_opus":0.06498247990352092,"score_gpt":0.2699872312735379,"score_spread":0.205004751370017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995052175","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":[0.7936312,0.00079946895,0.0008650984,0.0042416756,0.00034425367,0.001781913,0.062496528,0.00029476229,0.1355451],"genre_scores_gemma":[0.8876782,0.0015369834,0.002292852,0.0025171035,0.00018450776,0.0022109344,0.033739414,0.00011023284,0.069729656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99724686,0.00024531435,0.00020455188,0.00016022955,0.0016955595,0.00044737672],"domain_scores_gemma":[0.9830487,0.00089018606,0.0013768316,0.0003092351,0.012223636,0.0021514827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032217996,0.00030864865,0.00046197957,0.002314536,0.002303494,0.0017628714,0.0007847684,0.0007046171,0.018903868],"category_scores_gemma":[0.008243412,0.00032350895,0.0005103929,0.0020434016,0.00061296084,0.0012329838,0.0012273507,0.0015741176,0.008946918],"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":[0.00070619985,0.0007243499,0.6494404,0.00041159446,0.00006749556,0.00054599816,0.010004909,0.00027911892,0.0016441279,0.002464405,0.2414324,0.09227901],"study_design_scores_gemma":[0.0000218176,0.0001982984,0.8588333,0.00015562956,0.000025223246,0.00012892095,0.0068518464,0.00035468093,0.0005117061,0.00013102025,0.13271971,0.00006779755],"about_ca_topic_score_codex":0.42838633,"about_ca_topic_score_gemma":0.53162163,"teacher_disagreement_score":0.42838633,"about_ca_system_score_codex":0.0072128293,"about_ca_system_score_gemma":0.007275974,"threshold_uncertainty_score":0.85178566},"labels":[],"label_agreement":null},{"id":"W2996327956","doi":"10.34989/san-2019-32","title":"Cyberincidents : état des lieux","year":2019,"lang":"fr","type":"article","venue":"Staff Analytical Notes","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","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":"Humanities; Political science; Philosophy","score_opus":0.02211216522820261,"score_gpt":0.255127619318724,"score_spread":0.2330154540905214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996327956","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":[0.25444967,0.013240986,0.036176175,0.13696627,0.0028932435,0.00016034982,0.0017779849,0.00092139054,0.55341387],"genre_scores_gemma":[0.882122,0.0040188693,0.0068413806,0.0028042102,0.0010419715,0.00009737306,0.000371683,0.00018706264,0.10251552],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955581,0.0016313746,0.0001561798,0.00070016726,0.0014244826,0.00052970304],"domain_scores_gemma":[0.9898123,0.004708686,0.001731517,0.0008280272,0.0017331045,0.001186325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053538065,0.00046262427,0.0004851378,0.0030386022,0.007410488,0.011752956,0.0012133579,0.0032022975,0.03269851],"category_scores_gemma":[0.020773156,0.00040597163,0.0003987529,0.0028785204,0.0067601837,0.013262683,0.005705764,0.0034590336,0.0031035773],"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":[0.000116941344,0.000038819755,0.0101382965,0.00018740393,0.000026330692,0.000830553,0.031040782,0.00062802184,0.00037127253,0.83975613,0.049214926,0.06765051],"study_design_scores_gemma":[0.000040739134,0.00007496741,0.009057698,0.0005985225,0.000031247073,0.001250847,0.038973004,0.002625034,0.0009889788,0.22767705,0.7185906,0.00009124241],"about_ca_topic_score_codex":0.015990108,"about_ca_topic_score_gemma":0.01444856,"teacher_disagreement_score":0.03269851,"about_ca_system_score_codex":0.005703816,"about_ca_system_score_gemma":0.0051826523,"threshold_uncertainty_score":0.1093874},"labels":[],"label_agreement":null},{"id":"W2996393731","doi":"10.34989/san-2019-32","title":"The Cyber Incident Landscape","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Information and Cyber Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"GRASP; Business; Risk analysis (engineering); Computer security; Environmental resource management; Environmental planning; Computer science; Geography; Economics","score_opus":0.01309641683913672,"score_gpt":0.2574515484521246,"score_spread":0.24435513161298786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996393731","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":[0.25101918,0.0076905554,0.0036032002,0.057182863,0.0003761364,0.0001037584,0.002171657,0.00022339709,0.67762923],"genre_scores_gemma":[0.9605239,0.006664216,0.0010619712,0.0025919764,0.00009718526,0.000024851524,0.0007426236,0.00009905142,0.028194154],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99798214,0.00026898066,0.00003978096,0.00016801427,0.00094304694,0.0005980404],"domain_scores_gemma":[0.9976545,0.0003160088,0.0002503932,0.00013009258,0.0011336629,0.0005154858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011762477,0.0002846468,0.00022763641,0.004005424,0.012130993,0.0154240895,0.0011727477,0.0011743216,0.016388567],"category_scores_gemma":[0.004315739,0.0002498025,0.00024995214,0.007064324,0.006972873,0.0046853344,0.0038637582,0.0020534212,0.00092254445],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012073119,0.00009663258,0.05840993,0.00046224333,0.00006249239,0.0034157652,0.047930717,0.006267736,0.0017643204,0.45947543,0.1783378,0.24365632],"study_design_scores_gemma":[0.000006024152,0.00004194359,0.10816763,0.0005182937,0.000024462399,0.00096403685,0.107366785,0.0018347292,0.00034665727,0.041731533,0.73889446,0.00010350898],"about_ca_topic_score_codex":0.78054184,"about_ca_topic_score_gemma":0.876669,"teacher_disagreement_score":0.78054184,"about_ca_system_score_codex":0.03591233,"about_ca_system_score_gemma":0.026649125,"threshold_uncertainty_score":0.44150114},"labels":[],"label_agreement":null},{"id":"W3008234680","doi":"10.34989/san-2020-3","title":"A Financial Stability Analysis of Zombie Firms in Canada","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Firm Innovation and Growth","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":"Bank of Canada","funders":"","keywords":"Zombie; Financial stability; Business; Stability (learning theory); Financial system; Economics; Finance; Computer science; Computer security","score_opus":0.04881644234590464,"score_gpt":0.2229488035244257,"score_spread":0.17413236117852104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008234680","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":[0.98800176,0.0009187327,0.00019491481,0.0007477768,0.0000058052565,0.000045915065,0.007036363,0.00001204876,0.0030367086],"genre_scores_gemma":[0.994888,0.00050510676,0.00022201413,0.00006625144,0.0000045284573,0.000012979242,0.002738462,0.000004878294,0.0015578641],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993156,0.000033288426,0.000031399424,0.000073609466,0.00015928663,0.0003867158],"domain_scores_gemma":[0.99605995,0.0002692795,0.0008660477,0.00007267161,0.0019867977,0.00074519834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005500076,0.00025710717,0.00039533447,0.00527933,0.0032580965,0.0022356159,0.0010164323,0.0004664995,0.0029043355],"category_scores_gemma":[0.0035092684,0.00023491979,0.0005034944,0.010022996,0.00072310097,0.0005400772,0.0010685847,0.00069536036,0.00014859145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012345045,0.000039217604,0.979836,0.00008233798,0.000098900986,0.0002510991,0.0018355214,0.0017128802,0.0004940818,0.0023901004,0.0032058945,0.009930616],"study_design_scores_gemma":[0.000006101996,0.000010913814,0.99391186,0.000033057557,0.000027794602,0.000032593285,0.0019667968,0.0020568075,0.00011428698,0.00007518074,0.001751726,0.0000127381545],"about_ca_topic_score_codex":0.9987313,"about_ca_topic_score_gemma":0.9990012,"teacher_disagreement_score":0.04835689,"about_ca_system_score_codex":0.04835689,"about_ca_system_score_gemma":0.041582115,"threshold_uncertainty_score":0.35085547},"labels":[],"label_agreement":null},{"id":"W3009762157","doi":"10.34989/san-2020-6","title":"Technology Approach for a CBDC","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Digital currency; Currency; Business; Economics; Commerce; Macroeconomics","score_opus":0.040045101475068005,"score_gpt":0.2284531512816423,"score_spread":0.1884080498065743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009762157","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":[0.016557578,0.00144362,0.18405882,0.0249817,0.00083614956,0.0003738761,0.00025876975,0.0005253335,0.77096415],"genre_scores_gemma":[0.578589,0.002571879,0.1618885,0.005249551,0.0003110566,0.00056259683,0.00025987247,0.00023284822,0.25033468],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99784124,0.00043246217,0.00006911526,0.0003533021,0.0010006183,0.0003031938],"domain_scores_gemma":[0.99859375,0.0002302152,0.000057735433,0.00028738505,0.0005538129,0.00027706797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018266184,0.00044251178,0.00023423227,0.0013194311,0.0053425264,0.009932371,0.0016422208,0.0027855798,0.024569703],"category_scores_gemma":[0.0030816565,0.00033468677,0.00048199575,0.0014028295,0.0047750976,0.005452224,0.00442309,0.0033892356,0.0041034273],"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":[0.000013958832,0.000017608196,0.00018883625,0.0000357235,0.000004006117,0.00011470036,0.00028251467,0.0014583385,0.00096293853,0.9715334,0.0060706525,0.019317346],"study_design_scores_gemma":[0.000032085893,0.00007506711,0.00063906616,0.0002906155,0.000018888677,0.0003683744,0.0013182631,0.007734563,0.0029709688,0.22844113,0.75806254,0.000048385595],"about_ca_topic_score_codex":0.08293181,"about_ca_topic_score_gemma":0.08102953,"teacher_disagreement_score":0.08293181,"about_ca_system_score_codex":0.010673577,"about_ca_system_score_gemma":0.018620258,"threshold_uncertainty_score":0.16489822},"labels":[],"label_agreement":null},{"id":"W3033501883","doi":"10.34989/san-2020-8","title":"Household indebtedness risks in the wake of COVID‑19","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Housing Market and Economics","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":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Default; Parallels; Coronavirus disease 2019 (COVID-19); Payment; Pandemic; Natural disaster; Business; Economics; 2019-20 coronavirus outbreak; Finance; Geography; Operations management","score_opus":0.1708674162367261,"score_gpt":0.28826811900389404,"score_spread":0.11740070276716794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033501883","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":[0.9304829,0.00077191356,0.00632753,0.016165473,0.00043485322,0.00012304272,0.002242564,0.000116036805,0.043335725],"genre_scores_gemma":[0.9949045,0.00014265772,0.0004634538,0.00032416292,0.000041613042,0.000029455741,0.0003322958,0.000010645682,0.003751285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9990728,0.00032457124,0.00003986175,0.00012554011,0.00012605815,0.00031111567],"domain_scores_gemma":[0.9966493,0.0013508719,0.0006198477,0.00015632281,0.00041149062,0.00081215735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031767616,0.0002773241,0.00067809806,0.0003134066,0.0010186917,0.0031360341,0.0010514491,0.002042861,0.0074523394],"category_scores_gemma":[0.0128690405,0.0002820994,0.00042818108,0.00046806876,0.0008537901,0.0018926475,0.0020345477,0.002882517,0.00051449053],"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":[0.0013656259,0.00071362086,0.15197058,0.00016474203,0.0001744092,0.0057795434,0.0024262192,0.4398779,0.0010279331,0.28814957,0.0720857,0.036264196],"study_design_scores_gemma":[0.00044982138,0.0010963766,0.12575671,0.0002498288,0.00013624887,0.00071336085,0.011789379,0.64843667,0.00095278054,0.1786433,0.031520683,0.0002548736],"about_ca_topic_score_codex":0.022641206,"about_ca_topic_score_gemma":0.02029895,"teacher_disagreement_score":0.022641206,"about_ca_system_score_codex":0.0021916223,"about_ca_system_score_gemma":0.0013194644,"threshold_uncertainty_score":0.04501885},"labels":[],"label_agreement":null},{"id":"W3039004083","doi":"10.34989/san-2020-14","title":"COVID-19 and bond market liquidity: alert, isolation and recovery","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Humanities; Coronavirus disease 2019 (COVID-19); Political science; Reprise; Philosophy; Medicine","score_opus":0.05389744662863618,"score_gpt":0.3362413935291534,"score_spread":0.28234394690051723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039004083","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":[0.6189356,0.0044169063,0.0030604892,0.124462344,0.00055754604,0.00010613512,0.00044959364,0.00017930665,0.24783207],"genre_scores_gemma":[0.9897432,0.0005885337,0.00027191069,0.0025553624,0.00014946768,0.000013148171,0.00008846449,0.00001962621,0.0065703127],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9968592,0.0008540255,0.00012486611,0.00020889413,0.0008236826,0.0011294002],"domain_scores_gemma":[0.987767,0.002588608,0.0032777544,0.0004741518,0.0024165765,0.0034759727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043334314,0.00014191792,0.0003207967,0.0012695101,0.0026446774,0.008170464,0.00087027415,0.0025718121,0.009587349],"category_scores_gemma":[0.022771344,0.000226435,0.0002559542,0.0012246637,0.003559905,0.0026326855,0.004374988,0.004300499,0.00072688604],"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":[0.002210482,0.0009930242,0.24831697,0.00021260402,0.00012447458,0.0020110803,0.01610311,0.0026633388,0.0027654131,0.43241438,0.10771158,0.18447359],"study_design_scores_gemma":[0.00048044423,0.00076105417,0.47617227,0.0006615029,0.00013253269,0.0010109697,0.042769145,0.010654629,0.003866076,0.19665636,0.26649845,0.00033663114],"about_ca_topic_score_codex":0.05462812,"about_ca_topic_score_gemma":0.057830103,"teacher_disagreement_score":0.05462812,"about_ca_system_score_codex":0.008343887,"about_ca_system_score_gemma":0.0072801462,"threshold_uncertainty_score":0.108620346},"labels":[],"label_agreement":null},{"id":"W3045822253","doi":"10.34989/san-2020-16","title":"Will exchange-traded funds shape the future of bond dealing?","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","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":"Bank of Canada","funders":"","keywords":"Bond; Business; Bond market; Bond market index; Financial system; Financial economics; Finance; Economics","score_opus":0.021618942999909484,"score_gpt":0.23174940051502504,"score_spread":0.21013045751511555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045822253","genre_codex":"commentary","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":[0.16821888,0.00924711,0.0053426707,0.45249206,0.001551613,0.00002528007,0.00035595015,0.00007284094,0.3626936],"genre_scores_gemma":[0.9585709,0.004773811,0.0008833387,0.014082461,0.0010814394,0.000018591923,0.0000755677,0.00003897549,0.02047484],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986926,0.00039687316,0.000032778215,0.00016642912,0.00025720373,0.00045429516],"domain_scores_gemma":[0.9978194,0.0006039545,0.00040670604,0.00015981047,0.00040606293,0.00060397433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033393137,0.00010082681,0.00023622341,0.00040449458,0.0020888238,0.011282737,0.00052905496,0.004586245,0.010890265],"category_scores_gemma":[0.008206922,0.00016555993,0.0003035363,0.00055717386,0.0049133073,0.012104479,0.0016167521,0.0037641013,0.000844366],"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":[0.000038285547,0.000018812421,0.003611937,0.000015637463,0.000004983655,0.00006928043,0.0011128105,0.00039243695,0.0001404173,0.96791583,0.014597964,0.012081616],"study_design_scores_gemma":[0.00003173478,0.000044500503,0.014357246,0.00019293724,0.000015117778,0.00015413018,0.004097413,0.0017308304,0.00042141203,0.7127972,0.26610395,0.000053559113],"about_ca_topic_score_codex":0.007965242,"about_ca_topic_score_gemma":0.009507207,"teacher_disagreement_score":0.011282737,"about_ca_system_score_codex":0.003929141,"about_ca_system_score_gemma":0.0034522535,"threshold_uncertainty_score":0.03643161},"labels":[],"label_agreement":null},{"id":"W3047223832","doi":"10.34989/san-2020-18","title":"What COVID-19 revealed about the resilience of bond funds","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","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":"Bank of Canada","funders":"","keywords":"Bond; Market liquidity; Business; Liquidity risk; Coronavirus disease 2019 (COVID-19); Financial system; Resilience (materials science); Cash; Bond market; Finance; Monetary economics; Economics; Medicine; Internal medicine","score_opus":0.07701226072751649,"score_gpt":0.2827738419197384,"score_spread":0.20576158119222193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047223832","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":[0.38254458,0.06088508,0.017040096,0.3703412,0.0028022488,0.000049642564,0.003516947,0.00017766295,0.16264258],"genre_scores_gemma":[0.9761509,0.0108557325,0.0011100363,0.0051497766,0.0011772609,0.000009046943,0.0004285448,0.000037600166,0.005081159],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988937,0.00025133934,0.000071835224,0.00031388368,0.00020455035,0.00026479136],"domain_scores_gemma":[0.9921942,0.0028384451,0.002012975,0.00088638335,0.0013667808,0.0007011164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026280445,0.0002427947,0.00030389885,0.0014250774,0.0007062363,0.004709575,0.0005544572,0.0015999586,0.012054234],"category_scores_gemma":[0.016099006,0.0001933359,0.0003113336,0.0012070645,0.0028433532,0.008821551,0.0010971794,0.002177961,0.0007765682],"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":[0.00054233253,0.00007519743,0.07710541,0.0012615342,0.0002610138,0.0010595625,0.0070915804,0.006408062,0.004319014,0.569013,0.053787123,0.27907613],"study_design_scores_gemma":[0.00002500218,0.00014231438,0.14406617,0.003207782,0.00015688897,0.0015630253,0.0173887,0.0059219534,0.004816751,0.60156995,0.22094521,0.00019614118],"about_ca_topic_score_codex":0.0078684045,"about_ca_topic_score_gemma":0.0059070103,"teacher_disagreement_score":0.012054234,"about_ca_system_score_codex":0.0021914085,"about_ca_system_score_gemma":0.0018069363,"threshold_uncertainty_score":0.040325403},"labels":[],"label_agreement":null},{"id":"W3086918406","doi":"10.34989/san-2020-19","title":"The Canadian corporate investment gap","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Canadian Policy and Governance","field":"Social 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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Business; Equity (law); Financial system; Debt; Investment (military); Dividend; Finance; Payment; Financial crisis; Corporate finance; Monetary economics; Economics","score_opus":0.10123830331992513,"score_gpt":0.3098794980078357,"score_spread":0.2086411946879106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086918406","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":[0.11113293,0.021698544,0.0007461913,0.17606878,0.0012194366,0.00007476611,0.010633118,0.00024927442,0.67817694],"genre_scores_gemma":[0.82140136,0.017252697,0.0018756106,0.015377607,0.00030115488,0.00009302583,0.004392977,0.0001797808,0.1391258],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9951683,0.00018981627,0.00009172291,0.00040371306,0.0023746765,0.0017718227],"domain_scores_gemma":[0.9913458,0.0005029626,0.0003598585,0.00020297026,0.0053264163,0.0022619562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020388772,0.00045439735,0.00045574925,0.0037031127,0.0095823705,0.007597031,0.0010599435,0.0013949005,0.018403701],"category_scores_gemma":[0.009497009,0.0003061231,0.00037394156,0.006022494,0.0019528833,0.0019134487,0.0028074593,0.002353712,0.0012279915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011180426,0.000039974104,0.030740347,0.00027657652,0.000039387967,0.0004887216,0.006388429,0.00082942774,0.0004630376,0.31883672,0.5254323,0.11635337],"study_design_scores_gemma":[0.000017287945,0.000017236878,0.09358843,0.0003613818,0.000032239233,0.00015372252,0.0049080946,0.00079344935,0.0003121779,0.00811326,0.8916357,0.00006699449],"about_ca_topic_score_codex":0.99435824,"about_ca_topic_score_gemma":0.9956968,"teacher_disagreement_score":0.16373505,"about_ca_system_score_codex":0.16373505,"about_ca_system_score_gemma":0.20553896,"threshold_uncertainty_score":0.9699488},"labels":[],"label_agreement":null},{"id":"W3095051575","doi":"10.34989/san-2020-26","title":"Corporate investment and monetary policy transmission in Canada","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Social Sciences and Governance","field":"Social 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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Humanities; Political science; Transmission channel; Economics; Welfare economics; Transmission (telecommunications); Art; Telecommunications","score_opus":0.03555549773857829,"score_gpt":0.29430622426630004,"score_spread":0.25875072652772174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095051575","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":[0.94308954,0.0016461298,0.00024276094,0.008372665,0.00005375724,0.000040108065,0.0021876176,0.000040594157,0.04432681],"genre_scores_gemma":[0.99149257,0.00055789505,0.000120227596,0.00014887952,0.000007534669,0.0000033939493,0.00025625082,0.000007157471,0.0074061463],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989507,0.00007927303,0.000039314546,0.000089419045,0.00031567735,0.0005255595],"domain_scores_gemma":[0.99650335,0.000492564,0.00039122836,0.00006885652,0.0018380837,0.00070598564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086378603,0.00015983556,0.00036942496,0.0013876838,0.004477884,0.0035519234,0.0007795949,0.00066280446,0.0054298267],"category_scores_gemma":[0.0068492084,0.00020460579,0.00022503517,0.0032624695,0.0010446849,0.0005427824,0.0010535743,0.0010744203,0.00019745916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008592807,0.00020662992,0.7321733,0.00023747649,0.00024556712,0.0014031078,0.014394175,0.015295602,0.0017487014,0.08334443,0.040518,0.10957372],"study_design_scores_gemma":[0.0000892146,0.000054623233,0.9349103,0.00013434055,0.00010737684,0.00010841797,0.010322136,0.00962023,0.00071266113,0.003142499,0.040696472,0.0001017215],"about_ca_topic_score_codex":0.9988569,"about_ca_topic_score_gemma":0.9991823,"teacher_disagreement_score":0.13977197,"about_ca_system_score_codex":0.13977197,"about_ca_system_score_gemma":0.09188752,"threshold_uncertainty_score":0.9977426},"labels":[],"label_agreement":null},{"id":"W3095878373","doi":"10.34989/san-2020-24","title":"The neutral rate in Canada: 2020 update","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Monetary policy; Coronavirus disease 2019 (COVID-19); Interest rate; Measure (data warehouse); Pandemic; Economics; Monetary economics; Computer science; Medicine; Data mining","score_opus":0.04199793834570837,"score_gpt":0.21981345861430313,"score_spread":0.17781552026859476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095878373","genre_codex":"dataset","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":[0.020534223,0.12118737,0.010006017,0.094252475,0.017419742,0.0003620091,0.6072584,0.002564138,0.12641571],"genre_scores_gemma":[0.30993372,0.16620617,0.02749339,0.022126062,0.004689132,0.00057756953,0.36951008,0.0017073647,0.09775658],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996274,0.00015710671,0.00022598373,0.00022761457,0.0024986677,0.0006165835],"domain_scores_gemma":[0.97029144,0.0006251008,0.0007548155,0.0002436034,0.026127722,0.001957313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053042215,0.0017373752,0.0009923762,0.007730756,0.0021039185,0.004056069,0.0032591748,0.0016647371,0.013185098],"category_scores_gemma":[0.016654376,0.00056736654,0.0013300274,0.0106417965,0.0009292995,0.0018218837,0.0015756786,0.0027393391,0.0037199957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010586614,0.000026712145,0.015836606,0.00078272243,0.00008690954,0.00009686199,0.0002762591,0.0027048227,0.00010560205,0.011054897,0.90299106,0.06593175],"study_design_scores_gemma":[0.000034848465,0.000020271875,0.046317067,0.0012770834,0.00011141007,0.00010159812,0.0004065638,0.0023339016,0.0004288661,0.0018925508,0.94696,0.0001157918],"about_ca_topic_score_codex":0.9938798,"about_ca_topic_score_gemma":0.9916505,"teacher_disagreement_score":0.07933926,"about_ca_system_score_codex":0.07933926,"about_ca_system_score_gemma":0.18465538,"threshold_uncertainty_score":0.57564926},"labels":[],"label_agreement":null},{"id":"W3097801574","doi":"","title":"Le taux neutre au Canada : mise à jour de 2020","year":2020,"lang":"fr","type":"article","venue":"Staff Analytical Notes","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","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":"Humanities; Art; Political science","score_opus":0.03545568497012552,"score_gpt":0.24893307709832943,"score_spread":0.2134773921282039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097801574","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70419925,0.027225085,0.013109981,0.036467347,0.0006312295,0.000100216006,0.045902904,0.00032607035,0.17203796],"genre_scores_gemma":[0.958433,0.007122685,0.0044037923,0.00077517866,0.00005552387,0.00002970032,0.006274877,0.00005086219,0.022854371],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99916244,0.00007914501,0.00002412325,0.00011889812,0.00038492694,0.00023037926],"domain_scores_gemma":[0.99700063,0.00042687726,0.0001956229,0.000056967958,0.0019596254,0.00036024745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015875901,0.0003543009,0.00038779725,0.0021850201,0.0025483356,0.004325218,0.0005338549,0.00060189643,0.0042311414],"category_scores_gemma":[0.005644876,0.00017795592,0.0003848974,0.003813445,0.0009822629,0.001426427,0.0009122151,0.0010771063,0.00035561892],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011821354,0.00009212501,0.32888186,0.0010604904,0.00046865095,0.0006737297,0.014242386,0.04024522,0.001807567,0.18954536,0.13572423,0.28607622],"study_design_scores_gemma":[0.00004788688,0.0001386676,0.39709967,0.0014464483,0.00029074308,0.0001631954,0.025884015,0.0343882,0.0043380684,0.029258668,0.5065684,0.00037600953],"about_ca_topic_score_codex":0.98991406,"about_ca_topic_score_gemma":0.98974,"teacher_disagreement_score":0.038887262,"about_ca_system_score_codex":0.038887262,"about_ca_system_score_gemma":0.050469708,"threshold_uncertainty_score":0.28214818},"labels":[],"label_agreement":null},{"id":"W3099111217","doi":"10.34989/san-2020-27","title":"Concentration in the market of authorized participants of US fixed-income exchange-traded funds","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","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":"Bank of Canada","funders":"","keywords":"Fixed income; Equity (law); Business; Monetary economics; Shares outstanding; Finance; Financial system; Economics; Bond","score_opus":0.06160846831212709,"score_gpt":0.27512052426248473,"score_spread":0.21351205595035766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099111217","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":[0.9844967,0.00033079498,0.00033298103,0.00061753544,0.000009554701,0.0000097604125,0.0006502407,0.000022020678,0.013530497],"genre_scores_gemma":[0.9981331,0.00007889799,0.00007081529,0.0000801468,0.00001774845,0.000005585128,0.00028013787,0.0000030032313,0.0013304981],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989729,0.00022532258,0.00005588007,0.0002616581,0.00020986637,0.00027448192],"domain_scores_gemma":[0.99043804,0.0038231607,0.003704656,0.00034762087,0.0007146805,0.00097190187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010030007,0.00010335125,0.00027072555,0.0013565504,0.0006140194,0.0026760283,0.00042644478,0.0005430823,0.013196393],"category_scores_gemma":[0.0054318924,0.00011798296,0.0001316545,0.001195843,0.00066133967,0.0018265567,0.0012343804,0.00065119436,0.0012880382],"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":[0.00066826004,0.000441243,0.89638335,0.00009165619,0.000102159705,0.00058682065,0.0037020617,0.0010055342,0.004203987,0.029063355,0.010835614,0.05291595],"study_design_scores_gemma":[0.00008658217,0.00034259426,0.9502158,0.0000771668,0.00007027758,0.0008725388,0.0063243555,0.0063765873,0.0042795097,0.0063814996,0.024920713,0.00005229998],"about_ca_topic_score_codex":0.005114042,"about_ca_topic_score_gemma":0.0069704005,"teacher_disagreement_score":0.013196393,"about_ca_system_score_codex":0.0006839787,"about_ca_system_score_gemma":0.0004877281,"threshold_uncertainty_score":0.0441463},"labels":[],"label_agreement":null},{"id":"W3101980545","doi":"","title":"Announcing the Bankers’ Acceptance Purchase Facility: a COVID‑19 event study","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","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":"Coronavirus disease 2019 (COVID-19); Basis point; Yield (engineering); Business; Financial crisis; Event study; Event (particle physics); Actuarial science; Financial system; Economics; Finance; Interest rate; Geography; Macroeconomics","score_opus":0.1061105541567629,"score_gpt":0.30975608675789773,"score_spread":0.20364553260113483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3101980545","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":[0.97243595,0.0005318596,0.00017147683,0.005791023,0.000067763925,0.000104474384,0.0013816704,0.000020290421,0.019495439],"genre_scores_gemma":[0.992304,0.0005378477,0.00008525144,0.0011033351,0.00011011459,0.000025405167,0.0010275415,0.000013089763,0.0047934665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975897,0.00064255745,0.00006943858,0.00012959317,0.000795116,0.0007736308],"domain_scores_gemma":[0.9807922,0.006072244,0.0046734223,0.00047681158,0.004499481,0.0034858258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003217475,0.0002444835,0.00028427635,0.0009259502,0.002028081,0.0035387606,0.0007001127,0.0010782701,0.00632581],"category_scores_gemma":[0.012245023,0.00021673161,0.0002486572,0.0014653102,0.0012681724,0.0011526352,0.0014404332,0.0028297836,0.00088349485],"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":[0.0012450037,0.0021216834,0.84724224,0.00016858212,0.00010857773,0.0020486088,0.012165454,0.00084453274,0.00055950385,0.007713164,0.08688762,0.038894977],"study_design_scores_gemma":[0.00004762869,0.00037274166,0.9560875,0.00009060396,0.000032853033,0.00018815858,0.01967331,0.0015555755,0.00028894556,0.0005135211,0.021086177,0.0000630146],"about_ca_topic_score_codex":0.44266015,"about_ca_topic_score_gemma":0.4396582,"teacher_disagreement_score":0.44266015,"about_ca_system_score_codex":0.007351413,"about_ca_system_score_gemma":0.0055104657,"threshold_uncertainty_score":0.8801672},"labels":[],"label_agreement":null},{"id":"W3123686247","doi":"10.34989/san-2018-1","title":"Merchant Acceptance of Cash and Credit Cards at the Point of Sale","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Cash; Credit card; Point of sale; Payment; Point (geometry); Business; ATM card; Payment processor; Actuarial science; Finance; Computer science; Mathematics","score_opus":0.021964863699963012,"score_gpt":0.23197627442476096,"score_spread":0.21001141072479795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123686247","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":[0.9500117,0.00011656335,0.001767193,0.00031400574,0.00001062449,0.00010089604,0.0018358727,0.000046776924,0.04579637],"genre_scores_gemma":[0.988729,0.000083067935,0.000970806,0.00003055307,0.000005146958,0.000016511944,0.00090872875,0.000004736601,0.009251542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976993,0.00026088973,0.000099123106,0.00018273342,0.0013011711,0.00045684204],"domain_scores_gemma":[0.99390924,0.0018052884,0.001555551,0.00023934038,0.0017793571,0.0007112193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010095426,0.00018265827,0.0003025335,0.001740876,0.0010820425,0.0024066393,0.0007484294,0.0005278745,0.014603094],"category_scores_gemma":[0.008835592,0.00014727763,0.0005181175,0.001976595,0.0010060889,0.001007749,0.0009426078,0.0009926769,0.0012700012],"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":[0.00050357066,0.00017269363,0.9287561,0.0001393183,0.00010330208,0.0006043081,0.0030948953,0.0033656035,0.0020158698,0.018719865,0.0032080468,0.039316442],"study_design_scores_gemma":[0.0000148857425,0.000110011206,0.98290724,0.000029438123,0.000036737347,0.0002327767,0.0030920138,0.0038483704,0.0013648818,0.0013718582,0.0069497307,0.000042085245],"about_ca_topic_score_codex":0.4271936,"about_ca_topic_score_gemma":0.5018138,"teacher_disagreement_score":0.4271936,"about_ca_system_score_codex":0.004244381,"about_ca_system_score_gemma":0.0022179268,"threshold_uncertainty_score":0.8494141},"labels":[],"label_agreement":null},{"id":"W3148940464","doi":"10.34989/san-2021-3","title":"What cured the TSX Equity index after COVID-19?","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Market Dynamics and Volatility","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":"Bank of Canada","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Humanities; Political science; Business; Philosophy; Medicine","score_opus":0.05842806733817047,"score_gpt":0.3120242236822826,"score_spread":0.25359615634411214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148940464","genre_codex":"commentary","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":[0.10789317,0.033780217,0.003322599,0.73675066,0.0356114,0.00009050104,0.004566237,0.0005870614,0.07739822],"genre_scores_gemma":[0.7161602,0.027784925,0.0044062496,0.13635164,0.02709979,0.00007655461,0.0034729964,0.0008505881,0.08379711],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99871147,0.00020128342,0.00008850429,0.00021282384,0.00036826776,0.00041776837],"domain_scores_gemma":[0.99535286,0.0006384324,0.0005715396,0.00028321313,0.0018690231,0.0012848793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033692408,0.00044659455,0.00040638944,0.00096159434,0.0011131273,0.005414126,0.00065296615,0.0028586115,0.0135402605],"category_scores_gemma":[0.017303856,0.00021366864,0.0005046225,0.00091690145,0.0018720556,0.006625814,0.0012028825,0.005452261,0.0039047753],"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":[0.0005230622,0.000295668,0.052616537,0.00050359755,0.00015440129,0.0004997474,0.00091200083,0.00089425076,0.0016762572,0.09595866,0.51834303,0.32762283],"study_design_scores_gemma":[0.00013151961,0.00037966523,0.102950245,0.0012913094,0.00008711339,0.00038840272,0.0024398004,0.0013887882,0.0061667766,0.031278104,0.85331756,0.00018068348],"about_ca_topic_score_codex":0.023432942,"about_ca_topic_score_gemma":0.01868187,"teacher_disagreement_score":0.023432942,"about_ca_system_score_codex":0.0032379571,"about_ca_system_score_gemma":0.0043743174,"threshold_uncertainty_score":0.04659307},"labels":[],"label_agreement":null},{"id":"W3152796632","doi":"10.34989/san-2021-6","title":"Potential output and the neutral rate in Canada: 2021 update","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Range (aeronautics); Growth rate; Economics; Mathematics; Materials science","score_opus":0.013066034244043387,"score_gpt":0.25435883300594336,"score_spread":0.24129279876189996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152796632","genre_codex":"dataset","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":[0.06576848,0.06723228,0.004704241,0.2648003,0.0114645725,0.00035713956,0.34178978,0.0019511977,0.241932],"genre_scores_gemma":[0.6438617,0.06385773,0.011313473,0.028313613,0.0023766786,0.00028385688,0.11663755,0.00057489687,0.13278046],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99614406,0.000116497664,0.00017271114,0.00014083103,0.0027708623,0.0006550617],"domain_scores_gemma":[0.9768727,0.00068257435,0.0005672721,0.0001788401,0.019811543,0.0018871084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039445222,0.00080604135,0.0005064945,0.0036704054,0.0019594475,0.0042996067,0.0019810728,0.0018354441,0.009609598],"category_scores_gemma":[0.015364851,0.00039649187,0.0007152437,0.0062905783,0.0007741676,0.0015442926,0.0011710748,0.0023096236,0.0015154963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009059366,0.000042026233,0.028381051,0.0005235038,0.00004715494,0.00010626307,0.0005291947,0.0028895463,0.00013892916,0.011899708,0.89068544,0.0646666],"study_design_scores_gemma":[0.000037589092,0.000027625787,0.12674427,0.00087244215,0.00007041593,0.0000810542,0.0011011376,0.0035654616,0.000494265,0.0017479138,0.8651279,0.00012999546],"about_ca_topic_score_codex":0.99629587,"about_ca_topic_score_gemma":0.9967391,"teacher_disagreement_score":0.098150596,"about_ca_system_score_codex":0.098150596,"about_ca_system_score_gemma":0.18843284,"threshold_uncertainty_score":0.7121358},"labels":[],"label_agreement":null},{"id":"W3153392799","doi":"10.34989/san-2021-4","title":"Update on housing market imbalances and household indebtedness","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Household debt; Economics; Affordable housing; Business; Labour economics; Debt; Finance; Economic growth","score_opus":0.03801112828063809,"score_gpt":0.230966308430599,"score_spread":0.19295518014996094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153392799","genre_codex":"review","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":[0.0015710823,0.59680754,0.0013245343,0.22106852,0.07132177,0.00016409239,0.016640121,0.0003514382,0.09075095],"genre_scores_gemma":[0.012104931,0.72131395,0.0023299078,0.06616008,0.10232024,0.00018932183,0.014072391,0.00015508436,0.08135408],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9989795,0.000120585435,0.00015359248,0.00008318843,0.0005486784,0.00011439512],"domain_scores_gemma":[0.9848476,0.004268184,0.00091901276,0.0003972597,0.008533485,0.0010345043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018223111,0.0006890262,0.00082187564,0.0052509895,0.0009018463,0.002456469,0.0012672372,0.0030091815,0.018553613],"category_scores_gemma":[0.013999532,0.00047684595,0.00057805894,0.005745674,0.0006348753,0.0030183354,0.0013294119,0.003993966,0.005897294],"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":[0.000011814163,0.00001560255,0.00075111806,0.00033864198,0.000010954193,0.00003726879,0.00005685864,0.000044282522,0.000024195799,0.0010290984,0.9290754,0.06860476],"study_design_scores_gemma":[0.0000047681465,0.000008638009,0.0033733328,0.0012896386,0.00001661332,0.00008047046,0.000066300534,0.000028580382,0.000026161411,0.00064245367,0.99445325,0.000009831611],"about_ca_topic_score_codex":0.1605559,"about_ca_topic_score_gemma":0.27991986,"teacher_disagreement_score":0.1605559,"about_ca_system_score_codex":0.0034030797,"about_ca_system_score_gemma":0.006875763,"threshold_uncertainty_score":0.31924272},"labels":[],"label_agreement":null},{"id":"W3154223031","doi":"","title":"Production potentielle et taux neutre au Canada : mise à jour de 2021","year":2021,"lang":"fr","type":"article","venue":"Staff Analytical Notes","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","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":"Medicine","score_opus":0.05623451736564555,"score_gpt":0.2614784850383451,"score_spread":0.20524396767269953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154223031","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":[0.5994748,0.08372764,0.009457677,0.089150466,0.0014422766,0.00007212525,0.028547868,0.00035098635,0.1877761],"genre_scores_gemma":[0.9418588,0.019706694,0.0038901654,0.0010441459,0.00014094371,0.000013976027,0.003371554,0.00004164139,0.029932173],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991553,0.000041256164,0.00002420124,0.00009535741,0.00051718875,0.00016671597],"domain_scores_gemma":[0.99685943,0.00019202434,0.00018192224,0.000029498031,0.002444919,0.00029222388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011427253,0.0003247447,0.00027955562,0.002234624,0.0023645577,0.0037918321,0.00045102293,0.0005143417,0.0030326594],"category_scores_gemma":[0.0033953972,0.00018236609,0.00018834166,0.0038921433,0.0011578017,0.0009994336,0.00063431705,0.0009697741,0.0002676831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015355871,0.00007742746,0.17686674,0.0011842103,0.00030280123,0.0010570325,0.01779437,0.015165735,0.007769559,0.09567318,0.1657558,0.51681757],"study_design_scores_gemma":[0.000028621444,0.00008801652,0.38482884,0.0008830642,0.00011586634,0.00013523159,0.011195654,0.0072064255,0.0059339637,0.004981135,0.58434045,0.00026280814],"about_ca_topic_score_codex":0.9918743,"about_ca_topic_score_gemma":0.99279046,"teacher_disagreement_score":0.060876016,"about_ca_system_score_codex":0.060876016,"about_ca_system_score_gemma":0.058224786,"threshold_uncertainty_score":0.44168842},"labels":[],"label_agreement":null},{"id":"W3155651208","doi":"10.34989/san-2021-5","title":"Assessing global potential output growth and the US neutral rate: April 2021","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Economic and Technological Developments in Russia","field":"Social 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":"Bank of Canada","funders":"","keywords":"Potential output; Range (aeronautics); Growth rate; Economics; Environmental science; Mathematics; Monetary economics; Engineering; Monetary policy","score_opus":0.024934125377624593,"score_gpt":0.3051328339529141,"score_spread":0.2801987085752895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155651208","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":[0.5075413,0.0066594477,0.01659501,0.042482294,0.003006394,0.00021600668,0.05174434,0.00077863736,0.37097657],"genre_scores_gemma":[0.94895536,0.002359059,0.0059218626,0.001278458,0.0003329931,0.00014621553,0.010484041,0.000114222115,0.030407839],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992291,0.00018034058,0.000035138102,0.00004678283,0.00040747135,0.00010120676],"domain_scores_gemma":[0.9987457,0.00013409222,0.00012562344,0.000028070073,0.00085546135,0.00011110594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019329406,0.00055340095,0.00020514747,0.0011577025,0.00046963972,0.002542928,0.00034136596,0.00081839634,0.0028893284],"category_scores_gemma":[0.0048633935,0.00015390279,0.00032469453,0.0012117351,0.0003932386,0.0013921141,0.0011864433,0.00095346314,0.00088864495],"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":[0.0013835368,0.00018227643,0.19819565,0.00080192526,0.00026347194,0.0008622607,0.002107093,0.07928931,0.004765122,0.15193191,0.3682428,0.1919746],"study_design_scores_gemma":[0.000068095986,0.0006685488,0.2868999,0.0008154606,0.00014447865,0.00034946782,0.004587152,0.045172654,0.009783157,0.06731453,0.5839727,0.00022392072],"about_ca_topic_score_codex":0.030325845,"about_ca_topic_score_gemma":0.025608733,"teacher_disagreement_score":0.030325845,"about_ca_system_score_codex":0.0036415274,"about_ca_system_score_gemma":0.0027085082,"threshold_uncertainty_score":0.06029862},"labels":[],"label_agreement":null},{"id":"W3157276703","doi":"10.34989/san-2021-7","title":"Behaviour in the Canadian large-value payment system: COVID-19 vs. the global financial crisis","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Financial crisis; Collateral; Financial system; Coronavirus disease 2019 (COVID-19); Market liquidity; Business; Asset (computer security); Value (mathematics); Payment; Economics; Finance; Macroeconomics","score_opus":0.025550630985437646,"score_gpt":0.2737721644652335,"score_spread":0.24822153347979586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157276703","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":[0.9017044,0.0006710428,0.00029043565,0.016690718,0.00007481046,0.00009723117,0.002057108,0.00004572278,0.07836865],"genre_scores_gemma":[0.9826627,0.0005532257,0.0002191338,0.001684996,0.000014002825,0.000016364564,0.0007198856,0.00003516223,0.014094515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99715936,0.00029930228,0.000074752454,0.00023590795,0.0010857946,0.0011449283],"domain_scores_gemma":[0.9918247,0.00066984975,0.0009137843,0.0002536718,0.0044267206,0.0019112248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021657322,0.00020888548,0.00040062313,0.0015375935,0.0071709524,0.006136365,0.0012464011,0.0016772802,0.010486112],"category_scores_gemma":[0.012004295,0.0002766127,0.0003044176,0.003980929,0.0029508334,0.0015391499,0.0015990142,0.0019327253,0.0011781236],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000821812,0.00031572586,0.6313453,0.00019985331,0.00009864054,0.0009095675,0.09773899,0.002212025,0.0018583352,0.04689522,0.11939944,0.09820509],"study_design_scores_gemma":[0.000044527962,0.00006010974,0.79389083,0.00019731041,0.00004027684,0.0001439232,0.09823799,0.0026119796,0.00038364079,0.0014400902,0.102754615,0.00019459889],"about_ca_topic_score_codex":0.99666303,"about_ca_topic_score_gemma":0.99760014,"teacher_disagreement_score":0.09574027,"about_ca_system_score_codex":0.09574027,"about_ca_system_score_gemma":0.07288542,"threshold_uncertainty_score":0.69464755},"labels":[],"label_agreement":null},{"id":"W3160394568","doi":"10.34989/san-2021-8","title":"Évaluation préliminaire de l’impact de la COVID-19 sur la santé financière des entreprises canadiennes","year":2021,"lang":"fr","type":"article","venue":"Staff Analytical Notes","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","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":"Humanities; Political science; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Valuation (finance); Economics; Philosophy; Medicine; Virology","score_opus":0.05389673605539402,"score_gpt":0.33192909963684575,"score_spread":0.2780323635814517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160394568","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":[0.7238216,0.01105511,0.02163319,0.027150305,0.0010770303,0.0012122549,0.020210478,0.00023904623,0.193601],"genre_scores_gemma":[0.95820856,0.0028328747,0.007643865,0.0011444178,0.00024998232,0.00035499712,0.0057502347,0.000044380075,0.023770817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956903,0.0019544992,0.00020086982,0.0002535598,0.0013538382,0.00054703816],"domain_scores_gemma":[0.9391826,0.04042994,0.0030896696,0.0012715939,0.015065526,0.00096071576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010942354,0.0005483969,0.00080066704,0.0020002944,0.00068208476,0.0044367043,0.00089411414,0.0010234695,0.020364026],"category_scores_gemma":[0.043711856,0.00025286112,0.0011537727,0.002444104,0.0007161457,0.0015045424,0.0012636748,0.001525909,0.0014589764],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040893084,0.0015131703,0.37041056,0.0033041746,0.0013896198,0.0013451558,0.0022919478,0.14610717,0.0041807597,0.14576462,0.079232946,0.24037066],"study_design_scores_gemma":[0.0007707084,0.004470406,0.5657123,0.0026655705,0.0023208216,0.00045088638,0.016839672,0.16970368,0.018758507,0.039834354,0.17815,0.00032313718],"about_ca_topic_score_codex":0.10770199,"about_ca_topic_score_gemma":0.08054268,"teacher_disagreement_score":0.892298,"about_ca_system_score_codex":0.0064413724,"about_ca_system_score_gemma":0.0069603142,"threshold_uncertainty_score":0.21415019},"labels":[],"label_agreement":null},{"id":"W3163890950","doi":"10.34989/san-2021-9","title":"Detecting exuberance in house prices across Canadian cities","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"House price; Economics; Financial economics; Macroeconomics; Monetary economics","score_opus":0.03625834887669921,"score_gpt":0.24811037234903555,"score_spread":0.21185202347233634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163890950","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":[0.96060467,0.00040994643,0.015151603,0.0034466211,0.00004697305,0.0001122418,0.009073314,0.00029371236,0.0108609665],"genre_scores_gemma":[0.9937022,0.00010399526,0.0022038424,0.00013713047,0.000010747426,0.000020110878,0.0020848762,0.000013605623,0.0017235952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991473,0.000085694664,0.00002411258,0.00021515015,0.00019167228,0.0003361228],"domain_scores_gemma":[0.9979259,0.0005548617,0.0004641489,0.00014049273,0.00066123845,0.00025337454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017514636,0.00054498774,0.00067152805,0.0011859834,0.0015958977,0.0023862475,0.0021129327,0.00086668803,0.002214009],"category_scores_gemma":[0.0073275603,0.0004596664,0.00066250324,0.0020599342,0.0008454299,0.0007235546,0.0013346112,0.001281693,0.00027540774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039020684,0.00015263387,0.71699744,0.00009381644,0.00029555458,0.00034020233,0.0012393637,0.19649257,0.0017597371,0.025236946,0.018777914,0.038223624],"study_design_scores_gemma":[0.00007384901,0.00005559105,0.35230362,0.000037870017,0.00010803041,0.00006832321,0.0009627677,0.6330639,0.00075498986,0.0062679206,0.006199868,0.00010328674],"about_ca_topic_score_codex":0.9821087,"about_ca_topic_score_gemma":0.9771791,"teacher_disagreement_score":0.018845214,"about_ca_system_score_codex":0.018845214,"about_ca_system_score_gemma":0.015759801,"threshold_uncertainty_score":0.13673222},"labels":[],"label_agreement":null},{"id":"W3164638207","doi":"10.34989/san-2021-10","title":"Overlooking the online world: Does mismeasurement of the digital economy explain the productivity slowdown?","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Auction Theory 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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Slowdown; Productivity; Economics; Humanities; Political science; Welfare economics; Philosophy; Macroeconomics; Economic growth","score_opus":0.08100605532375695,"score_gpt":0.3505081955148558,"score_spread":0.26950214019109886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164638207","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":[0.39685515,0.021454766,0.04962707,0.2960843,0.0022129237,0.00012344534,0.0013628111,0.00035267713,0.23192698],"genre_scores_gemma":[0.9760642,0.008133859,0.0017886752,0.0045345677,0.00059947267,0.000021342012,0.00014613576,0.00004566464,0.00866616],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99911886,0.0003136232,0.00004302339,0.0000919296,0.0002242822,0.000208351],"domain_scores_gemma":[0.9730939,0.018202165,0.0049652257,0.0010273533,0.002013082,0.0006981649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034188305,0.00033063025,0.0005183749,0.0019139878,0.0011731454,0.006278137,0.0009439106,0.0025413178,0.014320275],"category_scores_gemma":[0.029731,0.00025724375,0.0006106956,0.002412329,0.0041170083,0.0069678556,0.0015343073,0.00311826,0.001283976],"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":[0.00035192407,0.00020477564,0.052030187,0.00060400984,0.0001552152,0.0009294407,0.0024158848,0.007514307,0.0005920618,0.81403273,0.03869723,0.08247231],"study_design_scores_gemma":[0.00010667003,0.00008295563,0.023389565,0.00045139118,0.00011971875,0.00034777206,0.0073080817,0.023966176,0.00091672497,0.8791845,0.064033605,0.00009279503],"about_ca_topic_score_codex":0.023123568,"about_ca_topic_score_gemma":0.018704027,"teacher_disagreement_score":0.023123568,"about_ca_system_score_codex":0.0039963983,"about_ca_system_score_gemma":0.0040746634,"threshold_uncertainty_score":0.0479061},"labels":[],"label_agreement":null},{"id":"W3165932214","doi":"10.34989/san-2021-11","title":"COVID-19 crisis: Liquidity management at Canada’s largest public pension funds","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Political science; Coronavirus disease 2019 (COVID-19); Market liquidity; Humanities; Economics; Finance; Art","score_opus":0.06050094013191938,"score_gpt":0.26149716872575846,"score_spread":0.2009962285938391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165932214","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":[0.90033764,0.0026390562,0.0002249538,0.027915372,0.00011209669,0.000061274026,0.005464042,0.00007435293,0.06317131],"genre_scores_gemma":[0.98504317,0.00070881244,0.00012588371,0.00093768555,0.000042525942,0.000010532104,0.0009979554,0.000014302681,0.012119136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990897,0.000038787945,0.000012690156,0.00004059053,0.00024937643,0.0005687372],"domain_scores_gemma":[0.99817073,0.00012315139,0.0002670456,0.000021466567,0.000691707,0.0007259813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007929164,0.0002272257,0.0002155487,0.0012212849,0.0042493176,0.004913151,0.0007930079,0.000988433,0.004978042],"category_scores_gemma":[0.003334713,0.00013712484,0.00018384452,0.0013801083,0.0010978658,0.00083092466,0.0013134993,0.0014330496,0.0003884675],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009767348,0.00025515017,0.4617566,0.0002151355,0.00008545437,0.0017069585,0.019835833,0.0070219217,0.0014114213,0.05462912,0.3580482,0.09405759],"study_design_scores_gemma":[0.000086875254,0.000108295084,0.8030834,0.00023400862,0.00006925771,0.00017761535,0.056657758,0.008536887,0.0015066726,0.0036603292,0.12576668,0.000112126196],"about_ca_topic_score_codex":0.9894995,"about_ca_topic_score_gemma":0.99449784,"teacher_disagreement_score":0.9439272,"about_ca_system_score_codex":0.056072768,"about_ca_system_score_gemma":0.056651153,"threshold_uncertainty_score":0.40683836},"labels":[],"label_agreement":null},{"id":"W3171100593","doi":"","title":"The potential effect of a central bank digital currency on deposit funding in Canada","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","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":"Market liquidity; Competition (biology); Currency; Business; Financial system; Central bank; Digital currency; Virtual currency; Economics; Monetary economics; Finance; Monetary policy","score_opus":0.015345299845209928,"score_gpt":0.2184042769237034,"score_spread":0.20305897707849346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171100593","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":[0.9364007,0.0016921978,0.00049279426,0.007627759,0.000047183075,0.000047290927,0.018505473,0.00005451443,0.03513212],"genre_scores_gemma":[0.98878366,0.0006932089,0.00021528476,0.00029602586,0.000015290503,0.000015623595,0.003587072,0.000011086058,0.006382748],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981681,0.0001215458,0.00007418631,0.00015352554,0.0007275791,0.00075498194],"domain_scores_gemma":[0.99018985,0.0014312526,0.0016809088,0.0002124034,0.0053982954,0.0010873401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017472527,0.00020011496,0.00035479284,0.0023841406,0.002205563,0.0031439313,0.00080771133,0.00035616892,0.004397285],"category_scores_gemma":[0.010208274,0.00017773091,0.0004236143,0.0046303314,0.0011571794,0.00066070433,0.0012674539,0.0010178864,0.00023423294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004025229,0.00007145676,0.87824786,0.00022179981,0.00010904647,0.0005198639,0.0030266463,0.0047466666,0.00045641212,0.025760774,0.04904016,0.037396826],"study_design_scores_gemma":[0.000059891703,0.000037617778,0.93280363,0.00022089534,0.00013578191,0.00011468437,0.0064579,0.0063898196,0.0009910932,0.0014128764,0.051313385,0.00006249039],"about_ca_topic_score_codex":0.9965192,"about_ca_topic_score_gemma":0.99779177,"teacher_disagreement_score":0.06165361,"about_ca_system_score_codex":0.06165361,"about_ca_system_score_gemma":0.069707334,"threshold_uncertainty_score":0.44733036},"labels":[],"label_agreement":null},{"id":"W3171290604","doi":"10.34989/san-2021-12","title":"Can regulating bank capital help prevent and mitigate financial downturns?","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Capital (architecture); Finance; Economics; Financial system; Financial capital; Business; Capital requirement; Monetary economics; Market economy; Human capital; Incentive","score_opus":0.01741154707811664,"score_gpt":0.2318294910746686,"score_spread":0.21441794399655195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171290604","genre_codex":"commentary","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":[0.19432722,0.033598162,0.029034566,0.5281241,0.0051195347,0.00028455653,0.0015871137,0.0015944625,0.2063303],"genre_scores_gemma":[0.9466505,0.012083952,0.004498808,0.023877861,0.0009830607,0.0000717225,0.00022879321,0.000082189945,0.011523151],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99861,0.0002603034,0.000046543686,0.00015199791,0.00033797775,0.0005931672],"domain_scores_gemma":[0.99529797,0.0014075049,0.0012061178,0.00025026724,0.0010286798,0.00080951524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041443994,0.00036163937,0.00038083128,0.00092666683,0.0011533689,0.00425569,0.0009704609,0.0030854517,0.007787025],"category_scores_gemma":[0.0177105,0.00018352295,0.0004862012,0.0005921368,0.0019423002,0.0024096728,0.0012583085,0.0020373499,0.0010894139],"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":[0.0007444787,0.00059975946,0.04702281,0.00070509827,0.00032266456,0.00028944877,0.0017693538,0.021030728,0.0051995227,0.29783973,0.19757889,0.42689753],"study_design_scores_gemma":[0.00091552734,0.00088439666,0.14701627,0.003687405,0.0007961327,0.00022267926,0.0057661356,0.024005445,0.012627264,0.26261568,0.54114115,0.00032182212],"about_ca_topic_score_codex":0.08307629,"about_ca_topic_score_gemma":0.107581474,"teacher_disagreement_score":0.08307629,"about_ca_system_score_codex":0.0045611295,"about_ca_system_score_gemma":0.013958363,"threshold_uncertainty_score":0.16518545},"labels":[],"label_agreement":null},{"id":"W3177212868","doi":"","title":"La réglementation des fonds propres bancaires peut-elle prévenir ou atténuer les turbulences financières?","year":2021,"lang":"fr","type":"article","venue":"Staff Analytical Notes","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","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":"Humanities; Political science; Art","score_opus":0.05141474668528217,"score_gpt":0.29623226380917433,"score_spread":0.24481751712389216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177212868","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":[0.92674506,0.0012649602,0.007693187,0.0026704716,0.00005854295,0.000035657817,0.00066222093,0.00022307379,0.060646825],"genre_scores_gemma":[0.9809663,0.00041140377,0.0015968325,0.00007400704,0.000023729242,0.000010025711,0.00017816036,0.000026672225,0.016712788],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99943835,0.00006218212,0.000016056245,0.00008301214,0.00020883087,0.00019150117],"domain_scores_gemma":[0.9985869,0.0002671192,0.0003383676,0.0001063784,0.0004011686,0.00030014152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010882388,0.00022903192,0.00035584244,0.00089842844,0.0011147477,0.0037548696,0.00057395897,0.00056458806,0.0074489047],"category_scores_gemma":[0.0034634713,0.00017564808,0.0002760289,0.00085449294,0.0011242153,0.0012902066,0.0006716247,0.0006483689,0.00076632487],"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":[0.0008938521,0.00021772805,0.48621753,0.00023910719,0.00023800175,0.0007327287,0.005782346,0.02498626,0.016205717,0.17369604,0.011510853,0.27927986],"study_design_scores_gemma":[0.000062035055,0.0002789741,0.7500533,0.00034620738,0.00016851268,0.00036429684,0.008811017,0.033445235,0.008864071,0.03446794,0.16301307,0.00012531209],"about_ca_topic_score_codex":0.2291728,"about_ca_topic_score_gemma":0.3518846,"teacher_disagreement_score":0.2291728,"about_ca_system_score_codex":0.004091455,"about_ca_system_score_gemma":0.0045996956,"threshold_uncertainty_score":0.45567775},"labels":[],"label_agreement":null},{"id":"W3177273672","doi":"","title":"Security of a CBDC","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","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":"Digital currency; Business; Computer security; Currency; Computer science; Economics; Payment; Finance; Monetary economics","score_opus":0.04710911026959092,"score_gpt":0.2523629058027891,"score_spread":0.20525379553319817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177273672","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":[0.040280424,0.0027664693,0.04848695,0.06214732,0.0018263486,0.00029851793,0.0011230463,0.0005418096,0.8425292],"genre_scores_gemma":[0.8582128,0.0030926403,0.023658179,0.0072533647,0.000819211,0.00019598201,0.00066299416,0.00021479075,0.10589016],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99256116,0.0015117739,0.0006182528,0.0007693208,0.0032655953,0.0012739564],"domain_scores_gemma":[0.9788593,0.003638915,0.0015322771,0.0051677427,0.008965588,0.0018361777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007837873,0.0003027811,0.00047175234,0.0012882648,0.0050800755,0.016926447,0.001186753,0.0032078885,0.019302357],"category_scores_gemma":[0.031210287,0.00047627636,0.000375203,0.001576029,0.00508832,0.007381856,0.0039524967,0.004211684,0.0048562144],"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":[0.00005237228,0.000014624817,0.0010834922,0.00006389873,0.0000091945085,0.00016965868,0.000442629,0.0010734336,0.00052364764,0.943616,0.028166672,0.02478446],"study_design_scores_gemma":[0.000050311835,0.000054364384,0.0019863006,0.0006903195,0.000029131255,0.0006369077,0.001082713,0.004459446,0.0024073338,0.29366085,0.6948658,0.000076495904],"about_ca_topic_score_codex":0.058534924,"about_ca_topic_score_gemma":0.026289586,"teacher_disagreement_score":0.058534924,"about_ca_system_score_codex":0.0070953877,"about_ca_system_score_gemma":0.023840109,"threshold_uncertainty_score":0.11638844},"labels":[],"label_agreement":null},{"id":"W3179999369","doi":"10.34989/san-2021-14","title":"Small and smaller: How the economic outlook of small firms relates to size","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Firm Innovation and Growth","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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Market size; Business; Small business; Economics; Marketing; Commerce","score_opus":0.050912426566677674,"score_gpt":0.2253070236419392,"score_spread":0.1743945970752615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179999369","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":[0.9890989,0.00033100482,0.00012977215,0.001830709,0.000018081877,0.0000138430605,0.0008919292,0.0000055162595,0.0076802447],"genre_scores_gemma":[0.9983125,0.00020381424,0.000038914728,0.00009853519,0.000008806392,0.0000043508903,0.0003850957,0.0000030130582,0.0009449974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932003,0.00011027441,0.000030475469,0.00009773974,0.00021899419,0.00022250204],"domain_scores_gemma":[0.9875507,0.002142713,0.003803935,0.0003215472,0.002642002,0.0035391473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015709574,0.000117152136,0.00016407091,0.0011887148,0.0012252511,0.0021190494,0.00043886667,0.0003547553,0.0042284424],"category_scores_gemma":[0.01033771,0.000092885064,0.0002171455,0.0020344597,0.0010939816,0.0012204499,0.0011033787,0.0009620118,0.0003747751],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006442791,0.000029185365,0.98515004,0.000010497306,0.000017484927,0.00007447046,0.0034167648,0.0001236389,0.00010634916,0.000556104,0.002448257,0.008002715],"study_design_scores_gemma":[0.0000011675224,0.000013503241,0.9933606,0.00001146975,0.000004587285,0.00001593181,0.004811256,0.00011935453,0.0000299872,0.00015764372,0.0014673958,0.0000070206174],"about_ca_topic_score_codex":0.5399646,"about_ca_topic_score_gemma":0.6778032,"teacher_disagreement_score":0.5399646,"about_ca_system_score_codex":0.0030092516,"about_ca_system_score_gemma":0.0027483893,"threshold_uncertainty_score":0.92548925},"labels":[],"label_agreement":null},{"id":"W3183752090","doi":"","title":"Canadian stock market since COVID‑19: Why a V-shaped price recovery?","year":2020,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","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":"Coronavirus disease 2019 (COVID-19); Stock market; Monetary economics; Economics; Stock (firearms); Stock exchange; Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Financial economics; Business; Finance; Geography","score_opus":0.06282316107285456,"score_gpt":0.2738190507271387,"score_spread":0.21099588965428412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183752090","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":[0.3745344,0.017056692,0.0019379146,0.3211196,0.0027273158,0.00014762864,0.017288618,0.0004709948,0.2647168],"genre_scores_gemma":[0.9630735,0.004359491,0.00054843974,0.010186303,0.00060013885,0.000013209294,0.0038006506,0.00008846174,0.017329874],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9988147,0.000044255474,0.00002759987,0.000117044176,0.000702978,0.00029344365],"domain_scores_gemma":[0.9958825,0.00026717965,0.0005261178,0.00019313731,0.002534575,0.0005965262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017010731,0.0002596034,0.00031543057,0.0014598166,0.0024506408,0.003926378,0.00094665214,0.001271812,0.010791585],"category_scores_gemma":[0.0101621635,0.00018046609,0.00034726536,0.002371658,0.0017803006,0.0014845952,0.00076066697,0.0023333947,0.0011569748],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040732633,0.00006896869,0.26371667,0.00021704033,0.00013161883,0.0012286871,0.0036607643,0.0016477054,0.0010536833,0.053749725,0.52049094,0.15362687],"study_design_scores_gemma":[0.00004027001,0.00006383656,0.6781048,0.00032968557,0.00007431071,0.00036547863,0.006839089,0.004214538,0.00086414785,0.008729815,0.3002437,0.00013035754],"about_ca_topic_score_codex":0.96077895,"about_ca_topic_score_gemma":0.97044384,"teacher_disagreement_score":0.03922105,"about_ca_system_score_codex":0.026121294,"about_ca_system_score_gemma":0.0172624,"threshold_uncertainty_score":0.18952417},"labels":[],"label_agreement":null},{"id":"W3184258248","doi":"10.34989/san-2021-16","title":"Exploring the potential benefits of inflation overshooting","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Economic Theory and Policy","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":"Bank of Canada","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.09507890105357784,"score_gpt":0.25003328912243,"score_spread":0.15495438806885214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184258248","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":[0.8178458,0.008016069,0.019421265,0.030261822,0.0003925925,0.00006916874,0.0004611185,0.00030682393,0.12322523],"genre_scores_gemma":[0.99553055,0.0009848911,0.0009453372,0.0006131515,0.000102156744,0.0000097386055,0.00004511962,0.000019363133,0.0017496453],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991725,0.0004533669,0.000025459325,0.00007136378,0.000097542725,0.00017971212],"domain_scores_gemma":[0.98876345,0.008071852,0.0012984857,0.00069661427,0.00052782893,0.0006418316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002777592,0.000261744,0.00040787805,0.00026774843,0.00062795065,0.0025562553,0.00067034346,0.0013573929,0.0090606995],"category_scores_gemma":[0.017825816,0.00015289673,0.00050544547,0.0005352479,0.0010240278,0.0018694584,0.0014974581,0.0020047037,0.00060852553],"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":[0.008604519,0.0010963507,0.077741906,0.0013656282,0.00037608124,0.0026808835,0.0032332863,0.049612094,0.013093262,0.42416674,0.0139257135,0.40410352],"study_design_scores_gemma":[0.00078426633,0.0053938935,0.16024953,0.0009867311,0.0007910063,0.0013780785,0.00945632,0.05156435,0.0100145405,0.69543976,0.06371176,0.0002297376],"about_ca_topic_score_codex":0.0018101189,"about_ca_topic_score_gemma":0.0018823856,"teacher_disagreement_score":0.0090606995,"about_ca_system_score_codex":0.000713232,"about_ca_system_score_gemma":0.001210103,"threshold_uncertainty_score":0.030311108},"labels":[],"label_agreement":null},{"id":"W3193024887","doi":"10.34989/san-2021-17","title":"The uneven economic consequences of COVID 19: A structural analysis","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"COVID-19 Pandemic Impacts","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":"Bank of Canada","funders":"","keywords":"Unemployment; Coronavirus disease 2019 (COVID-19); Shock (circulatory); Economics; Consumption (sociology); Inequality; Government (linguistics); Economic inequality; Demographic economics; Vulnerability (computing); Development economics; Economic growth; Sociology; Medicine","score_opus":0.05277808029633719,"score_gpt":0.3121952443106803,"score_spread":0.2594171640143431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193024887","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":[0.8011196,0.0010637951,0.13451497,0.019067563,0.00021066728,0.00029424287,0.0017388732,0.00015545353,0.04183485],"genre_scores_gemma":[0.98720795,0.0007467066,0.004469157,0.0002826277,0.0000950403,0.00013566019,0.00033249127,0.000027621241,0.0067027034],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991553,0.00036005498,0.000019518498,0.00010071961,0.00007706608,0.00028739203],"domain_scores_gemma":[0.99620515,0.0022252062,0.0007675921,0.00019844748,0.000245618,0.00035797924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017688695,0.0005509489,0.0011302216,0.0011429023,0.0010960705,0.0026351933,0.001172427,0.0018826303,0.010753723],"category_scores_gemma":[0.0062736855,0.00045063827,0.0015141309,0.0013077491,0.0015723574,0.002183483,0.0029589843,0.0030759664,0.0005021938],"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":[0.00018504274,0.00035657137,0.03777724,0.0001380865,0.00031389148,0.0010775629,0.0010255818,0.30067617,0.0008551069,0.63675827,0.008612459,0.012224043],"study_design_scores_gemma":[0.00013901708,0.0002174035,0.015614822,0.00006990577,0.00019506231,0.00012056436,0.0012093459,0.6460286,0.00022165853,0.33180863,0.004312117,0.00006295226],"about_ca_topic_score_codex":0.026066927,"about_ca_topic_score_gemma":0.028130205,"teacher_disagreement_score":0.026066927,"about_ca_system_score_codex":0.0029639897,"about_ca_system_score_gemma":0.0020564387,"threshold_uncertainty_score":0.05183041},"labels":[],"label_agreement":null},{"id":"W3195796483","doi":"10.34989/san-2021-19","title":"Household financial vulnerabilities and physical climate risks","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","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":"Bank of Canada","funders":"","keywords":"Business; Climate change; Natural resource economics; Finance; Environmental planning; Environmental resource management; Environmental science; Economics","score_opus":0.03435192050006025,"score_gpt":0.26307066051829525,"score_spread":0.228718740018235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195796483","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":[0.9876329,0.00015328749,0.00046138046,0.00081741204,0.000008772746,0.000011673487,0.0015405155,0.0000073641245,0.00936682],"genre_scores_gemma":[0.99845135,0.00012533755,0.00014624684,0.000038444487,0.00001070399,0.000014290052,0.0003741342,0.0000012491594,0.000838205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960524,0.000107796695,0.00002370424,0.000045231554,0.00006481914,0.0001532176],"domain_scores_gemma":[0.9966664,0.0010775385,0.0015308149,0.00009479703,0.00015936176,0.0004712439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041669825,0.00015765845,0.00015741524,0.0009447244,0.00058550894,0.0006913807,0.00018924948,0.0003381072,0.011063643],"category_scores_gemma":[0.0050133686,0.00012197112,0.00012702572,0.0014982946,0.0003995506,0.0008532969,0.0012349861,0.00039184376,0.000396027],"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":[0.000083301806,0.00007103348,0.96620387,0.000039952374,0.00005930532,0.00029670313,0.0018711387,0.0019967358,0.00013545109,0.007304286,0.0042543467,0.01768401],"study_design_scores_gemma":[0.000004243777,0.000047618127,0.9845596,0.00004855384,0.00001877524,0.0002503819,0.0047742585,0.0017276589,0.00013479385,0.004946853,0.0034717012,0.000015639678],"about_ca_topic_score_codex":0.010615918,"about_ca_topic_score_gemma":0.013028429,"teacher_disagreement_score":0.011063643,"about_ca_system_score_codex":0.00058178103,"about_ca_system_score_gemma":0.00051758887,"threshold_uncertainty_score":0.037011564},"labels":[],"label_agreement":null},{"id":"W3200235852","doi":"10.34989/san-2021-21","title":"Canadian housing supply elasticities","year":2021,"lang":"en","type":"preprint","venue":"Staff Analytical Notes","topic":"Housing Market and Economics","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":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Humanities; Political science; Physics; Philosophy","score_opus":0.03390991197161429,"score_gpt":0.22878633126420875,"score_spread":0.19487641929259447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200235852","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":[0.35586223,0.005271366,0.027484791,0.004927834,0.00033519338,0.0004892755,0.29942676,0.0011848606,0.30501768],"genre_scores_gemma":[0.77540535,0.004187815,0.015091614,0.00068045553,0.00008754098,0.00041830272,0.07440765,0.00037860556,0.12934257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987092,0.000056922523,0.00004505176,0.00018010927,0.00057876797,0.00043005522],"domain_scores_gemma":[0.99815,0.00016736123,0.00013473473,0.00013490587,0.0012896849,0.00012335641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007555618,0.0007478327,0.00049449434,0.0046926136,0.0025280241,0.0019791534,0.0007926339,0.00039260933,0.029042417],"category_scores_gemma":[0.003405788,0.00039342945,0.0012211297,0.008783006,0.0003913027,0.00052022043,0.0009707961,0.0008354138,0.0022509336],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013949975,0.00007665096,0.29107723,0.0005060711,0.00041780417,0.00041353938,0.0026842256,0.05598059,0.0014619986,0.18917982,0.28284964,0.175213],"study_design_scores_gemma":[0.00003478848,0.000023529214,0.599291,0.0001901343,0.00015993134,0.00013454321,0.0019655551,0.01909494,0.0020668725,0.010775516,0.36609182,0.00017131641],"about_ca_topic_score_codex":0.99444157,"about_ca_topic_score_gemma":0.99645054,"teacher_disagreement_score":0.031464413,"about_ca_system_score_codex":0.031464413,"about_ca_system_score_gemma":0.020170584,"threshold_uncertainty_score":0.22829133},"labels":[],"label_agreement":null},{"id":"W3205406512","doi":"10.34989/san-2021-23","title":"The impact of the Bank of Canada’s Government Bond Purchase Program","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Bond; Government bond; Government (linguistics); Basis point; Business; Financial system; Finance; Economics","score_opus":0.01566790569670829,"score_gpt":0.3116156011740804,"score_spread":0.2959476954773721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205406512","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82318866,0.0017630869,0.00046932345,0.048295308,0.00035213277,0.00019456322,0.00814914,0.000119963675,0.117467895],"genre_scores_gemma":[0.9713543,0.00069030735,0.0002001388,0.0033746753,0.00008915933,0.000036346384,0.0014343093,0.000020279414,0.022800466],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99249285,0.00066700357,0.00016394646,0.00039633564,0.0029414103,0.003338442],"domain_scores_gemma":[0.9784387,0.003068064,0.0036190557,0.00035977067,0.009177052,0.0053373165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029165028,0.00036538008,0.00047857864,0.0012662587,0.0041778334,0.005629622,0.0012193844,0.0024840543,0.00841866],"category_scores_gemma":[0.019526532,0.0003725542,0.000499521,0.0020555984,0.0016594873,0.00089298777,0.0016187823,0.003991099,0.0005747062],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015890287,0.00086863077,0.6831145,0.00023623207,0.0005189671,0.00086482725,0.0050501684,0.012805025,0.0028643024,0.07215813,0.17058711,0.049343046],"study_design_scores_gemma":[0.0001333357,0.0002800387,0.90175945,0.00009673431,0.00019346797,0.00006518696,0.008727544,0.0052252747,0.0017925048,0.00204709,0.07956345,0.00011598048],"about_ca_topic_score_codex":0.9908434,"about_ca_topic_score_gemma":0.994545,"teacher_disagreement_score":0.08226198,"about_ca_system_score_codex":0.08226198,"about_ca_system_score_gemma":0.11196834,"threshold_uncertainty_score":0.5968552},"labels":[],"label_agreement":null}]}