{"meta":{"query_hash":"f84b768155dc","filters":{"venue":"IZA Journal of Development and Migration"},"cohort_total":13,"direct_labels_cover":0,"predictions_cover":13,"exported":13,"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/f84b768155dc","api":"https://metacan.xera.ac/api/v1/cohort?venue=IZA+Journal+of+Development+and+Migration"},"results":[{"id":"W2600274365","doi":"10.1186/s40176-017-0098-y","title":"Immigration and the rate of population mixing: explorations with a stylized model","year":2017,"lang":"en","type":"article","venue":"IZA Journal of Development and Migration","topic":"Demographic Trends and Gender Preferences","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":false,"ca_institutions":"McMaster University","funders":"","keywords":"Immigration; Stylized fact; Population; Mixing (physics); Demographic economics; Econometrics; Economics; Geography; Demography; Sociology; Physics","score_opus":0.04617416623112257,"score_gpt":0.2950584530802052,"score_spread":0.2488842868490826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2600274365","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":[0.718869,0.0014192438,0.19644566,0.005924049,0.00013726795,0.00020693324,0.0011424398,0.00027552247,0.07557988],"genre_scores_gemma":[0.9861448,0.00060963817,0.006219726,0.000158505,0.00004157571,0.0000877593,0.00013530308,0.000025348854,0.006577373],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999496,0.0002955678,0.000017654049,0.00006704898,0.000038817554,0.000084859275],"domain_scores_gemma":[0.99632096,0.0026557394,0.0004877805,0.00020896539,0.00016211026,0.00016442774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021379741,0.00039189888,0.00076754106,0.00080902164,0.00083289214,0.0020974232,0.0012213023,0.0016969031,0.010534294],"category_scores_gemma":[0.009325062,0.0002576507,0.00093687314,0.0010569224,0.0014905283,0.001885706,0.0013317309,0.0017359921,0.00068723364],"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":[0.00010157197,0.000095721174,0.0117620835,0.0000885864,0.000052397885,0.00048660274,0.0010976654,0.34293416,0.000633682,0.62848336,0.0047387276,0.009525421],"study_design_scores_gemma":[0.00006526258,0.000064838256,0.0030805985,0.000053114705,0.00004172219,0.00020319338,0.0006126182,0.74606043,0.00013356053,0.24635048,0.0033028082,0.000031341355],"about_ca_topic_score_codex":0.010112038,"about_ca_topic_score_gemma":0.005990591,"teacher_disagreement_score":0.010534294,"about_ca_system_score_codex":0.001978626,"about_ca_system_score_gemma":0.00065573974,"threshold_uncertainty_score":0.03524071},"labels":[],"label_agreement":null},{"id":"W2625429508","doi":"10.1186/s40176-017-0091-5","title":"International students, immigration and earnings growth: the effect of a pre-immigration host-country university education","year":2017,"lang":"en","type":"article","venue":"IZA Journal of Development and Migration","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria; Statistics Canada","funders":"","keywords":"Immigration; Earnings; Demographic economics; Population; Earnings growth; Work experience; Political science; Economics; Labour economics; Work (physics); Demography; Sociology","score_opus":0.00460404932944339,"score_gpt":0.2690778754592264,"score_spread":0.264473826129783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625429508","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":[0.9902019,0.0011548495,0.00020652814,0.0021018067,0.00006623586,0.000015402742,0.0025355641,0.000017392997,0.0037003802],"genre_scores_gemma":[0.9939029,0.0005305606,0.00011409907,0.000103834696,0.00003528222,0.00000922675,0.0019926645,0.0000054971892,0.0033058494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942636,0.0001230305,0.000032855205,0.00009555928,0.00010342675,0.00021879682],"domain_scores_gemma":[0.99437994,0.0013222245,0.0016672162,0.00022433262,0.0005665259,0.0018397212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012234302,0.0002837927,0.0003315959,0.00094486977,0.000999835,0.0018045907,0.00066872657,0.0006236397,0.0064959987],"category_scores_gemma":[0.0054240567,0.00011298889,0.0006884568,0.0017045164,0.0007173294,0.00061076955,0.0015009273,0.0015283303,0.0006405578],"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":[0.000114336435,0.000050984243,0.9924217,0.000012846189,0.00006876401,0.0000593203,0.00019959675,0.00047460673,0.000050467643,0.0005655952,0.0014560062,0.00452583],"study_design_scores_gemma":[0.000010786719,0.00005723773,0.995805,0.00004880335,0.00006640592,0.00002396635,0.0010606936,0.0010295724,0.00006324055,0.00022824937,0.0015976996,0.0000083055575],"about_ca_topic_score_codex":0.46149874,"about_ca_topic_score_gemma":0.41745657,"teacher_disagreement_score":0.46149874,"about_ca_system_score_codex":0.001777376,"about_ca_system_score_gemma":0.003518341,"threshold_uncertainty_score":0.917625},"labels":[],"label_agreement":null},{"id":"W2766513400","doi":"10.1186/s40176-017-0113-3","title":"Correction to: immigration and the rate of population mixing: explorations with a stylized model","year":2017,"lang":"en","type":"article","venue":"IZA Journal of Development and Migration","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Stylized fact; Mixing (physics); Immigration; Economics; Population; Econometrics; Macroeconomics; Political science; Sociology; Demography; Physics; Law","score_opus":0.040176924247835755,"score_gpt":0.2968400597658215,"score_spread":0.25666313551798575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766513400","genre_codex":"editorial","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":[0.0010827681,0.0016532582,0.009859585,0.08989472,0.8685949,0.00008364242,0.01448809,0.0013706606,0.012972398],"genre_scores_gemma":[0.14071831,0.0072985557,0.030714132,0.046781752,0.2895355,0.0006569584,0.0151117975,0.006341519,0.4628414],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99696296,0.00079084776,0.0005444071,0.00057985634,0.000831371,0.00029058752],"domain_scores_gemma":[0.9545641,0.01688223,0.0020725657,0.005988661,0.019004928,0.0014876756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042774896,0.0014736265,0.001736392,0.0032910318,0.0019327337,0.0033068936,0.0032387818,0.0045231385,0.15560745],"category_scores_gemma":[0.11892311,0.0007902334,0.001178191,0.0051397625,0.0014999284,0.004238803,0.0018742837,0.0064832093,0.06293399],"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":[0.000056001056,0.0000055419164,0.00025823875,0.00011288557,0.000015795553,0.00008661488,0.000053549527,0.0003102017,0.000032697106,0.007557091,0.9842977,0.007213716],"study_design_scores_gemma":[0.00018230606,0.00003065102,0.003384744,0.00049470924,0.000066227985,0.00045167978,0.0002747009,0.0048913998,0.00054345053,0.028100843,0.9614674,0.00011187602],"about_ca_topic_score_codex":0.023077002,"about_ca_topic_score_gemma":0.027029365,"teacher_disagreement_score":0.15560745,"about_ca_system_score_codex":0.0032433432,"about_ca_system_score_gemma":0.0038809765,"threshold_uncertainty_score":0.5205588},"labels":[],"label_agreement":null},{"id":"W2799893788","doi":"10.1186/s40176-017-0107-1","title":"Acquisition of permanent residence by temporary foreign workers in Canada: a panel study of labour market outcomes before and after the status transition","year":2018,"lang":"en","type":"article","venue":"IZA Journal of Development and Migration","topic":"Migration and Labor Dynamics","field":"Social Sciences","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":"Statistics Canada","funders":"","keywords":"Residence; Earnings; Work (physics); Panel data; Demographic economics; Labour economics; Economics; Business; Econometrics; Finance","score_opus":0.011207469599208039,"score_gpt":0.24375345242528318,"score_spread":0.23254598282607514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799893788","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":[0.9891151,0.00030555984,0.00010137006,0.00024457308,0.000009501811,0.000028220598,0.008929937,0.000006020328,0.0012596676],"genre_scores_gemma":[0.9924809,0.00029249577,0.00013778573,0.000074918156,0.0000039619385,0.00001753999,0.0053650136,0.000004005694,0.0016234027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936837,0.00004797015,0.000029413188,0.0001164965,0.00013723188,0.000300495],"domain_scores_gemma":[0.99855644,0.00007890722,0.0002947649,0.00008092665,0.00047690683,0.0005121809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006088472,0.000314369,0.00046272154,0.0013089197,0.0029562889,0.0016490332,0.0010223191,0.00046383418,0.0026415086],"category_scores_gemma":[0.0014634619,0.0002715911,0.00059159024,0.003907224,0.00063205045,0.00047326728,0.0014533133,0.0010580588,0.00040305255],"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":[0.00010335002,0.000050056417,0.9923449,0.000022264212,0.000092540635,0.00008994855,0.0015256986,0.00027269954,0.00016044303,0.00027364053,0.0016854864,0.003378971],"study_design_scores_gemma":[0.000003926589,0.000012737566,0.99585366,0.000026973066,0.00002029338,0.000018214027,0.002482108,0.00030640065,0.00004855842,0.000029480469,0.0011861824,0.000011491706],"about_ca_topic_score_codex":0.9952537,"about_ca_topic_score_gemma":0.99758744,"teacher_disagreement_score":0.016305016,"about_ca_system_score_codex":0.016305016,"about_ca_system_score_gemma":0.022112926,"threshold_uncertainty_score":0.11830169},"labels":[],"label_agreement":null},{"id":"W2804183942","doi":"10.1186/s40176-017-0114-2","title":"Does it matter if immigrants work in jobs related to their education?","year":2018,"lang":"en","type":"article","venue":"IZA Journal of Development and Migration","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Immigration; Earnings; Matching (statistics); Wage; Labour economics; Economics; Demographic economics; Work (physics); Political science","score_opus":0.008248715306469508,"score_gpt":0.2771956237613829,"score_spread":0.26894690845491337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804183942","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":[0.98687124,0.00065878825,0.00006559012,0.006453861,0.00008901907,0.000009770955,0.00044900016,0.000004319821,0.005398374],"genre_scores_gemma":[0.9982274,0.00024399269,0.000022637036,0.00036175761,0.000031200372,0.0000030198491,0.00012428185,0.0000018743428,0.0009837344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991326,0.0001492665,0.000037174654,0.000096051444,0.00014960724,0.00043540786],"domain_scores_gemma":[0.9964367,0.0006585057,0.0010588167,0.00011899948,0.00035605408,0.0013709349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011598704,0.0000985378,0.00031719686,0.0005874103,0.0014773407,0.0020428242,0.0005708655,0.0010514926,0.0095828995],"category_scores_gemma":[0.0071052974,0.00014397883,0.000351484,0.00096791,0.0009128816,0.0007147885,0.0005842747,0.000906939,0.001063943],"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":[0.00024304121,0.00015297734,0.9772893,0.000042620806,0.00006331474,0.0001348299,0.0016659306,0.00010063086,0.00016318043,0.00090439734,0.00250678,0.016732996],"study_design_scores_gemma":[0.000016428841,0.000089460205,0.98283017,0.000088582885,0.000038665057,0.000081372775,0.013415169,0.0002014341,0.00011710841,0.0008413624,0.0022651658,0.000014914828],"about_ca_topic_score_codex":0.16994888,"about_ca_topic_score_gemma":0.24857852,"teacher_disagreement_score":0.16994888,"about_ca_system_score_codex":0.0014359239,"about_ca_system_score_gemma":0.0027223143,"threshold_uncertainty_score":0.33791935},"labels":[],"label_agreement":null},{"id":"W2806811736","doi":"10.1186/s40176-017-0117-z","title":"Land tenure policy and off-farm employment in rural China","year":2018,"lang":"en","type":"article","venue":"IZA Journal of Development and Migration","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department for International Development; Department for International Development, UK Government; International Development Research Centre; Government of Canada","keywords":"China; Economics; Social security; Wage; Land tenure; Labour economics; Wage rate; Control (management); Agriculture; Geography; Market economy","score_opus":0.00967729402759205,"score_gpt":0.21887344810617138,"score_spread":0.20919615407857933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806811736","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":[0.99912137,0.000034194978,0.000033673536,0.00008987216,0.0000014743637,0.0000041736703,0.00017818142,0.0000011636746,0.00053596846],"genre_scores_gemma":[0.99939847,0.000022874043,0.000011077041,0.0000073411093,0.0000021322,0.000002555416,0.00013128438,3.4887697e-7,0.00042383507],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959344,0.000084601044,0.000026167074,0.000059340517,0.00007750143,0.00015900107],"domain_scores_gemma":[0.99747807,0.0002675978,0.0014429191,0.00012194717,0.00021828515,0.00047106892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073537865,0.0001527899,0.00018103258,0.0008449962,0.00048974156,0.0006223829,0.00028586222,0.00024381005,0.0035640632],"category_scores_gemma":[0.001812482,0.00009432948,0.00017100642,0.0016416501,0.000630836,0.0003727139,0.0005512854,0.00026300276,0.00030357306],"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":[0.000035522946,0.000053726097,0.9948226,0.000011587149,0.000021884172,0.000100672376,0.00038568157,0.00049670687,0.00033410633,0.0005249743,0.00018013804,0.003032472],"study_design_scores_gemma":[0.0000032146404,0.000023709954,0.99858737,0.0000035084524,0.00000372764,0.000009313809,0.00042610976,0.00046818462,0.00004688982,0.000116832874,0.00030929345,0.0000018411775],"about_ca_topic_score_codex":0.035914775,"about_ca_topic_score_gemma":0.06856871,"teacher_disagreement_score":0.035914775,"about_ca_system_score_codex":0.0008976865,"about_ca_system_score_gemma":0.0010416579,"threshold_uncertainty_score":0.07141149},"labels":[],"label_agreement":null},{"id":"W2872543545","doi":"10.1186/s40176-018-0121-y","title":"Jobs for Africa’s expanding youth cohort: a stocktaking of employment prospects and policy interventions","year":2018,"lang":"en","type":"article","venue":"IZA Journal of Development and Migration","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Department for International Development; International Development Research Centre; Inter-American Development Bank","keywords":"Underemployment; Psychological intervention; Youth unemployment; Unemployment; Wage; Work (physics); Labour economics; Population; Economic growth; Economics; Business; Sociology; Psychology","score_opus":0.0499921503775394,"score_gpt":0.28949698413164765,"score_spread":0.23950483375410825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2872543545","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84105724,0.012069397,0.0019722874,0.11201066,0.0018327897,0.004083254,0.002784986,0.0001227203,0.02406677],"genre_scores_gemma":[0.97533995,0.006503022,0.003859761,0.006483454,0.0003778578,0.0027840957,0.00040716433,0.0000131918105,0.0042315144],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9977354,0.0009411258,0.000050929593,0.000066382665,0.00013423152,0.0010718596],"domain_scores_gemma":[0.99424124,0.0016618621,0.0005188686,0.00011656025,0.0003917615,0.0030697046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062171286,0.00048514476,0.00046363682,0.0010366826,0.0021780264,0.0021033739,0.0013674931,0.0018038462,0.014590913],"category_scores_gemma":[0.007346129,0.00022023478,0.0007130539,0.0007529746,0.00060452323,0.0013041147,0.003787616,0.0015814775,0.00036905168],"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":[0.006454269,0.0155073255,0.11385438,0.007574031,0.0006119665,0.0022198935,0.013206152,0.0076714866,0.0052172076,0.03221552,0.059483085,0.7359847],"study_design_scores_gemma":[0.009861654,0.025809348,0.5633368,0.031503286,0.0018998431,0.00059328496,0.10451622,0.013830876,0.0068275286,0.020014511,0.22146599,0.00034059418],"about_ca_topic_score_codex":0.020494057,"about_ca_topic_score_gemma":0.036094017,"teacher_disagreement_score":0.020494057,"about_ca_system_score_codex":0.0042716623,"about_ca_system_score_gemma":0.019986132,"threshold_uncertainty_score":0.048811495},"labels":[],"label_agreement":null},{"id":"W2883202222","doi":"10.1186/s40176-018-0122-x","title":"Correlates of business survival: empirical evidence on youth-owned micro and small enterprises in Urban Ethiopia","year":2018,"lang":"en","type":"article","venue":"IZA Journal of Development and Migration","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Oxford; International Development Research Centre","keywords":"Small business; Business; Point (geometry); Empirical evidence; Duration (music); Hazard ratio; Industrial organization; Marketing","score_opus":0.1075126948343686,"score_gpt":0.2611861046593338,"score_spread":0.1536734098249652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883202222","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":[0.9996057,0.00005719301,0.000037232676,0.000016237263,0.0000011825784,0.0000014185204,0.00011548239,3.5870428e-7,0.00016521482],"genre_scores_gemma":[0.9997967,0.000035043344,0.000014204112,0.0000029022365,0.0000014412963,0.0000012287331,0.0000676562,2.4481022e-7,0.00008055778],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970216,0.00009061336,0.000026687858,0.00004561047,0.000036885973,0.0000979507],"domain_scores_gemma":[0.9947588,0.0016882109,0.0020296308,0.00018483838,0.0004343852,0.0009042496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070415693,0.00012272244,0.00016188751,0.00083578326,0.00029759592,0.00051975646,0.0002563403,0.00019278532,0.0023518284],"category_scores_gemma":[0.0027865798,0.00008966301,0.00015903197,0.0006599363,0.0003639426,0.00033414442,0.0005110998,0.00031123182,0.0002283956],"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":[0.000025142488,0.000022296732,0.9985216,0.0000044584617,0.000008165638,0.000053166434,0.0002058457,0.000048281843,0.000043229073,0.00005011084,0.00003460417,0.0009831163],"study_design_scores_gemma":[7.4504163e-7,0.000037771457,0.9975344,0.000009090291,0.0000067302326,0.000071040384,0.0019259606,0.00015338667,0.00006408624,0.000039651215,0.0001551468,0.0000018754474],"about_ca_topic_score_codex":0.0035077645,"about_ca_topic_score_gemma":0.0050453735,"teacher_disagreement_score":0.0035077645,"about_ca_system_score_codex":0.0001978036,"about_ca_system_score_gemma":0.00027975664,"threshold_uncertainty_score":0.007867634},"labels":[],"label_agreement":null},{"id":"W2888288580","doi":"10.1186/s40176-018-0124-8","title":"Gender gaps in the path to adulthood for young females and males in six African countries from the 1990s to the 2010s","year":2018,"lang":"en","type":"article","venue":"IZA Journal of Development and Migration","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Fertility; Young adult; Marital status; Demographic economics; Path analysis (statistics); Educational attainment; Work (physics); Developing country; Psychology; Demography; Population; Economics; Economic growth; Sociology; Developmental psychology","score_opus":0.023000054083824325,"score_gpt":0.2799075196439629,"score_spread":0.25690746556013855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888288580","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":[0.9943268,0.0019191589,0.00006395448,0.00039996873,0.000016176687,0.000009430885,0.0021848439,0.0000030814654,0.0010765916],"genre_scores_gemma":[0.9979322,0.00079926394,0.000057335765,0.000044901328,0.0000073353667,0.000010565658,0.0007722133,0.0000012036954,0.00037493414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970394,0.000042668224,0.000022142907,0.00003846468,0.000023374614,0.00016936765],"domain_scores_gemma":[0.999363,0.0000893729,0.0003169729,0.00001872711,0.00009568308,0.0001162577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009263155,0.00028961612,0.0002735333,0.0012300296,0.000704,0.00070567825,0.00032133452,0.00040206936,0.0017975988],"category_scores_gemma":[0.0017083903,0.00020921657,0.00042498202,0.0015545647,0.0003332845,0.000840943,0.0012049628,0.0005878735,0.00018753778],"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":[0.00015407155,0.00004174842,0.9803403,0.00010998833,0.000058116253,0.00028721616,0.0039369427,0.00021091966,0.00015341294,0.0007691531,0.0008589505,0.013079202],"study_design_scores_gemma":[0.000005205746,0.000041241783,0.9927207,0.000100042445,0.00002138959,0.000117786665,0.0046274182,0.00012477598,0.000108196335,0.000120548844,0.0020080116,0.000004667228],"about_ca_topic_score_codex":0.048070207,"about_ca_topic_score_gemma":0.06970752,"teacher_disagreement_score":0.048070207,"about_ca_system_score_codex":0.0006563431,"about_ca_system_score_gemma":0.00072789367,"threshold_uncertainty_score":0.09558076},"labels":[],"label_agreement":null},{"id":"W2895176090","doi":"10.1186/s40176-018-0128-4","title":"Labor market mobility and the early-career outcomes of immigrant men","year":2018,"lang":"en","type":"article","venue":"IZA Journal of Development and Migration","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; Kelowna General Hospital","funders":"","keywords":"Immigration; White (mutation); Wage growth; Wage; Demographic economics; Occupational mobility; Labour economics; Social mobility; Economic mobility; Economics; Political science; Economic growth","score_opus":0.012258070388664158,"score_gpt":0.2617231929812317,"score_spread":0.24946512259256753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895176090","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":[0.9978642,0.00018347017,0.000031869477,0.00017786458,0.0000059146664,0.0000049983637,0.00023182233,0.0000017817251,0.0014980213],"genre_scores_gemma":[0.99857914,0.000109232366,0.00002536796,0.000022607293,0.000004196039,0.0000024255344,0.00015255944,7.923107e-7,0.0011036573],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997061,0.000046217443,0.000013326271,0.000028637107,0.00004566828,0.00016001968],"domain_scores_gemma":[0.99850404,0.00016718746,0.0005461645,0.0000406221,0.00019784918,0.00054420676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006492102,0.00022801307,0.00022689426,0.0011043577,0.0019048514,0.0011860015,0.0004483547,0.00037136543,0.0065780017],"category_scores_gemma":[0.0025761838,0.00008699714,0.0002582567,0.0009845949,0.00059129565,0.00042127102,0.00094014494,0.00058863824,0.000582755],"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":[0.00006510173,0.00007121105,0.99120164,0.000013856755,0.000016076096,0.00018526879,0.0018007996,0.00012816743,0.0001439256,0.00042926145,0.00035196316,0.005592707],"study_design_scores_gemma":[0.0000034685625,0.00005630347,0.99256,0.000035925925,0.0000067839046,0.00008035863,0.0059424127,0.00018743104,0.000055659613,0.00015253433,0.0009106847,0.000008376988],"about_ca_topic_score_codex":0.2618016,"about_ca_topic_score_gemma":0.4050891,"teacher_disagreement_score":0.2618016,"about_ca_system_score_codex":0.0010991477,"about_ca_system_score_gemma":0.0018862366,"threshold_uncertainty_score":0.5205555},"labels":[],"label_agreement":null},{"id":"W2958452995","doi":"10.2478/izajodm-2019-0002","title":"Asymmetric Information and the Discount on Foreign-Acquired Degrees in Canada","year":2019,"lang":"en","type":"article","venue":"IZA Journal of Development and Migration","topic":"Migration and Labor Dynamics","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":"Saint Mary's University","funders":"","keywords":"Wage; Immigration; Labour economics; Economics; Matching (statistics); Quality (philosophy); Risk aversion (psychology); Wage inequality; Human capital; Demographic economics; Expected utility hypothesis; Economic growth; Political science","score_opus":0.006909266200270138,"score_gpt":0.2158351738586064,"score_spread":0.20892590765833627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2958452995","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":[0.9779052,0.00066093664,0.0003650148,0.002249023,0.000015399086,0.000017638393,0.00096551026,0.000009814828,0.01781148],"genre_scores_gemma":[0.9980369,0.0001537421,0.00004754803,0.00006000806,0.0000041151993,0.0000011035687,0.000117524585,0.0000021798564,0.001576924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984144,0.00010771552,0.00003439871,0.00013541098,0.0006180567,0.0006899397],"domain_scores_gemma":[0.9935301,0.0021858846,0.0013488965,0.00031309604,0.0014649006,0.0011571669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017906134,0.00016367214,0.00055593177,0.001218531,0.0026547257,0.0028762154,0.0007664578,0.0006336448,0.007679874],"category_scores_gemma":[0.009578814,0.00013928859,0.00032324443,0.0017329785,0.00148916,0.0005372021,0.0011427276,0.0012768205,0.00022597217],"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":[0.0009449687,0.00018199279,0.83301175,0.00012677138,0.00016205618,0.0011618655,0.008629415,0.011224715,0.0016213425,0.07151545,0.011575284,0.059844416],"study_design_scores_gemma":[0.00007817837,0.00008385611,0.92911494,0.00018120055,0.00012481317,0.0002609318,0.018193452,0.016057745,0.0010173289,0.016278636,0.018461501,0.00014737909],"about_ca_topic_score_codex":0.9791613,"about_ca_topic_score_gemma":0.98685825,"teacher_disagreement_score":0.02556996,"about_ca_system_score_codex":0.02556996,"about_ca_system_score_gemma":0.0226722,"threshold_uncertainty_score":0.18552393},"labels":[],"label_agreement":null},{"id":"W4295539721","doi":"10.2478/izajodm-2022-0008","title":"Temporary international migration, shocks and informal finance: analysis using panel data","year":2022,"lang":"en","type":"article","venue":"IZA Journal of Development and Migration","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Shock (circulatory); Economics; Panel data; Demographic economics; Fixed effects model; Difference in differences; Monetary economics; Labour economics; Econometrics","score_opus":0.04613650057963841,"score_gpt":0.30405976956673525,"score_spread":0.25792326898709683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295539721","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":[0.9961359,0.00014785345,0.0006686473,0.00029715925,0.00000896134,0.00001410586,0.0021459449,0.000015672811,0.00056586554],"genre_scores_gemma":[0.9971403,0.00012716731,0.00021986353,0.000043560827,0.000011246909,0.000018076815,0.001816315,0.0000029725156,0.0006204349],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941635,0.0002763116,0.0000351061,0.000068906695,0.000037390106,0.00016587289],"domain_scores_gemma":[0.9968335,0.0013503243,0.0012042563,0.00020129884,0.00012221391,0.00028853022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001210954,0.0003223446,0.000655841,0.0007783418,0.0005437295,0.0011641335,0.0004674608,0.00078720524,0.005881908],"category_scores_gemma":[0.0029151042,0.0002188069,0.00073044206,0.0019212717,0.0003953098,0.00048544703,0.0009613603,0.0013300609,0.00051512057],"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":[0.00023505358,0.00025903404,0.96819913,0.000049484304,0.0005852933,0.00034138406,0.00036744744,0.019414423,0.000514971,0.0015753617,0.0023513823,0.006107027],"study_design_scores_gemma":[0.000046376153,0.00024793405,0.9392029,0.000049029015,0.00028958905,0.00010572911,0.001963808,0.053159792,0.00047849046,0.0014247813,0.0029844216,0.000047206267],"about_ca_topic_score_codex":0.05231581,"about_ca_topic_score_gemma":0.04224277,"teacher_disagreement_score":0.05231581,"about_ca_system_score_codex":0.0006430467,"about_ca_system_score_gemma":0.00048542183,"threshold_uncertainty_score":0.10402256},"labels":[],"label_agreement":null},{"id":"W4391182685","doi":"10.2478/izajodm-2023-0007","title":"Recent vs Historical Migrants: A Study on the Canadian Provincial Trade-Migration Nexus","year":2023,"lang":"en","type":"article","venue":"IZA Journal of Development and Migration","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Algoma University","funders":"Northern Ontario Heritage Fund Corporation; Algoma University","keywords":"Nexus (standard); Economics; Economic geography; International trade; International economics; Computer science","score_opus":0.08515198068183033,"score_gpt":0.21746699088827398,"score_spread":0.13231501020644365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391182685","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":[0.9892757,0.0007531755,0.00016662205,0.00054414204,0.000011216435,0.000013960995,0.0015007575,0.000005703435,0.007728724],"genre_scores_gemma":[0.9977984,0.00035099004,0.00015564123,0.000044598764,0.0000028881252,0.0000041256185,0.0005580208,0.0000031417464,0.0010821947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941003,0.00006376563,0.000025320878,0.000089860674,0.00019313741,0.0002178908],"domain_scores_gemma":[0.99726605,0.0004987452,0.00060561375,0.00013779012,0.0010109246,0.00048095678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008577846,0.00018451907,0.00029172975,0.002252247,0.0032795256,0.0014868212,0.0008232908,0.00025811713,0.0037769254],"category_scores_gemma":[0.0037120534,0.000106080624,0.00034249696,0.007528103,0.0007834642,0.00055585994,0.0010761187,0.00052794896,0.00015298728],"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":[0.0000744011,0.000027120212,0.9734991,0.00005764502,0.000055505177,0.00018139338,0.0053619808,0.0004334364,0.0001722325,0.0051129083,0.0018349343,0.013189252],"study_design_scores_gemma":[0.0000037323725,0.000012194778,0.98278457,0.00006346162,0.00004897769,0.000045413137,0.010660945,0.0009183987,0.00008500878,0.0003727819,0.004990194,0.00001428831],"about_ca_topic_score_codex":0.9897669,"about_ca_topic_score_gemma":0.99489295,"teacher_disagreement_score":0.015463437,"about_ca_system_score_codex":0.015463437,"about_ca_system_score_gemma":0.024034608,"threshold_uncertainty_score":0.11219561},"labels":[],"label_agreement":null}]}