{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":53,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":53,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"e67c89082519","filters":{"venue":"Demographic Research"}},"results":[{"id":"W2157374025","doi":"10.4054/demres.2009.20.31","title":"Subjective expectations in the context of HIV/AIDS in Malawi","year":2009,"lang":"en","type":"article","venue":"Demographic Research","topic":"Adolescent Sexual and Reproductive Health","field":"Health Professions","cited_by":159,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Center for Advanced Study, University of Illinois at Urbana-Champaign; National Institute on Aging; National Institutes of Health; McGill University; University of Pennsylvania","keywords":"Context (archaeology); Human immunodeficiency virus (HIV); Psychology; Medicine; Social psychology; Political science; Virology; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.2144979755215334,"gpt":0.5225830762555885,"spread":0.3080851007340552,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005272162,0.0001027126,0.0002565231,0.001121793,0.0004550348,0.000005081516,0.000362628,0.0001495134,0.00005411405],"category_scores_gemma":[0.0006914827,0.00006693347,0.00005262503,0.003481931,0.000323702,0.00009739347,0.00005012714,0.001943137,0.00006121877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008809574,"about_ca_system_score_gemma":0.0003029845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004888941,"about_ca_topic_score_gemma":0.001028396,"domain_scores_codex":[0.9938846,0.003812943,0.0005583982,0.0003664279,0.0006457757,0.00073192],"domain_scores_gemma":[0.9976572,0.001353347,0.0000915283,0.0004545113,0.0003671834,0.00007625771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001834639,0.000607818,0.9063193,0.00008448704,0.000005218752,0.00001255178,0.04768235,0.000001533738,0.0003572611,0.04094676,0.001289324,0.002509948],"study_design_scores_gemma":[0.000643849,0.0002740647,0.8118652,0.0001440776,0.000001136529,0.000001000878,0.1782139,0.00002009531,0.00002881728,0.008074075,0.0006760599,0.00005772949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798047,0.0005665613,0.00002855874,0.008664629,0.00008860318,0.001716072,0.000009107011,0.00001583987,0.009105925],"genre_scores_gemma":[0.9984911,0.0001547966,0.00006787715,0.0004158508,0.0001283459,0.0001528742,0.000009737913,0.000008929577,0.0005704942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1305315,"threshold_uncertainty_score":0.8442072,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2902196616","doi":"10.4054/demres.2020.43.28","title":"Explaining the MENA paradox: Rising educational attainment yet stagnant female labor force participation","year":2020,"lang":"en","type":"article","venue":"Demographic Research","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":124,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Educational attainment; Phenomenon; Closing (real estate); Demographic economics; Economics; Gender gap; Labour economics; Economic growth","retraction":null,"screen_n_in":null,"score":{"opus":0.1347310410096363,"gpt":0.4190330460344966,"spread":0.2843020050248604,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003706374,0.000114868,0.0001374953,0.0001462038,0.001687378,0.0002591625,0.0005129215,0.00009083305,0.00008808203],"category_scores_gemma":[0.0008699426,0.0000903409,0.00007759675,0.002034583,0.0005663979,0.0002013931,0.0001076162,0.0004402889,0.00003495007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009628278,"about_ca_system_score_gemma":0.0005371304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007188401,"about_ca_topic_score_gemma":0.0006526345,"domain_scores_codex":[0.9960107,0.001023383,0.0002800895,0.0003675618,0.001531907,0.0007864062],"domain_scores_gemma":[0.9978971,0.001078947,0.00007284038,0.0002581415,0.000373129,0.0003198664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004879956,0.0001496702,0.6444407,0.00004142009,0.00006878007,0.000006559264,0.1612118,0.0002772785,0.0004187988,0.1834473,0.006448813,0.003440001],"study_design_scores_gemma":[0.0005935746,0.000232555,0.699761,0.00006229201,0.00003182699,6.971521e-7,0.2121243,0.008329475,0.0000629212,0.01948487,0.05893114,0.0003852942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9536743,0.0006079011,0.0005360637,0.04062115,0.0002095983,0.0005838599,0.00001577488,0.00006972404,0.003681602],"genre_scores_gemma":[0.996993,0.0007965785,0.0002935212,0.000936774,0.0004006464,0.0001606989,0.00001962659,0.00002269201,0.0003764335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1639625,"threshold_uncertainty_score":0.9996123,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1990358624","doi":"10.4054/demres.2014.30.60","title":"Three-generation family households in early childhood: Comparisons between the United States, the United Kingdom, and Australia","year":2014,"lang":"en","type":"article","venue":"Demographic Research","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Grandparent; Quarter (Canadian coin); Demography; Cohort; Early childhood; Longitudinal study; Cohort study; Millennium Cohort Study (United States); Geography; Medicine; Psychology; Sociology","retraction":null,"screen_n_in":null,"score":{"opus":0.1572905266811586,"gpt":0.3806232835275123,"spread":0.2233327568463537,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006406335,0.0001281857,0.0001472319,0.0005991477,0.001921016,0.0005375873,0.0005904289,0.0001419476,0.000007784191],"category_scores_gemma":[0.0002459977,0.000084302,0.00005833941,0.003273188,0.0009006068,0.0001170259,0.0001183707,0.0007871694,0.000006475134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005615132,"about_ca_system_score_gemma":0.00008684685,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1281119,"about_ca_topic_score_gemma":0.07093877,"domain_scores_codex":[0.9962537,0.00159802,0.000278321,0.000287704,0.001008696,0.0005735931],"domain_scores_gemma":[0.9982622,0.0009202114,0.00006094225,0.0003059076,0.0003327779,0.0001179125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006082991,0.00003341549,0.7943517,0.000003482253,0.0000392433,0.000001312822,0.005867951,0.0009285356,0.0001121233,0.191744,0.006372049,0.0005401516],"study_design_scores_gemma":[0.0001972877,0.00006525972,0.9419567,0.00002270055,0.000009106608,2.788209e-7,0.001598052,0.01543155,0.000004168134,0.003682283,0.03691097,0.0001216318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935733,0.00005117098,0.001193411,0.00426596,0.0001291522,0.0004414903,0.00001828781,0.00003010949,0.0002971342],"genre_scores_gemma":[0.9987622,0.0001750062,0.00005216471,0.0002792804,0.0004304367,0.00004770973,0.0001630904,0.00001662134,0.00007348412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1880617,"threshold_uncertainty_score":0.9993783,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2152527024","doi":"10.4054/demres.2003.s1.11","title":"\"My Girlfriends Could Fill A Yanu-Yanu Bus\"","year":2003,"lang":"en","type":"article","venue":"Demographic Research","topic":"Adolescent Sexual and Reproductive Health","field":"Health Professions","cited_by":56,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Gender studies; Human immunodeficiency virus (HIV); Sociology; Demography; Medicine; Family medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.3646745460792033,"gpt":0.5654771474175655,"spread":0.2008026013383622,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.008921364,0.0002745039,0.0004407621,0.001000911,0.003043971,0.00002390865,0.0004935563,0.0004831165,0.002167441],"category_scores_gemma":[0.001917398,0.000212096,0.0001400725,0.003317341,0.0007740974,0.0001674713,0.0002233698,0.003988068,0.001763108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002118699,"about_ca_system_score_gemma":0.001179203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004014682,"about_ca_topic_score_gemma":0.00008194229,"domain_scores_codex":[0.990069,0.004429831,0.0007344102,0.001033051,0.001491339,0.002242386],"domain_scores_gemma":[0.9958266,0.001023073,0.0001502783,0.001175266,0.001119329,0.0007054337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002626515,0.0007565932,0.7028039,0.0008274764,0.00006929894,0.00005678911,0.003316046,0.000002033601,0.0006602266,0.05395927,0.2350958,0.002190008],"study_design_scores_gemma":[0.00108275,0.0003510909,0.1218602,0.0001951343,0.000008887793,0.00001058479,0.006879188,0.00002637626,0.00009827832,0.009094246,0.8600916,0.0003016274],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8137378,0.002493974,0.0004265329,0.008672645,0.002095233,0.003248871,0.00005106186,0.0003377153,0.1689362],"genre_scores_gemma":[0.9559416,0.0008622274,0.0003803114,0.001119629,0.0007515938,0.0003522188,0.00003104945,0.00007434809,0.04048708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6249958,"threshold_uncertainty_score":0.9990141,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2121820182","doi":"10.4054/demres.2008.19.53","title":"Polygyny and HIV in Malawi","year":2008,"lang":"en","type":"article","venue":"Demographic Research","topic":"Adolescent Sexual and Reproductive Health","field":"Health Professions","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Polygyny; Human immunodeficiency virus (HIV); Demography; Positive correlation; Adultery; Correlation; Population; Biology; Sociology; Political science; Medicine; Immunology","retraction":null,"screen_n_in":null,"score":{"opus":0.380244639096522,"gpt":0.5429541445622887,"spread":0.1627095054657668,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003147251,0.0001049891,0.0002158127,0.0008018378,0.001354732,0.00000363358,0.0001631665,0.0001848066,0.0001618546],"category_scores_gemma":[0.0003278439,0.00008188267,0.00002642859,0.001416972,0.0006164128,0.00008990468,0.000208285,0.001943416,0.0002695184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005443023,"about_ca_system_score_gemma":0.0002784675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004071227,"about_ca_topic_score_gemma":0.0001482141,"domain_scores_codex":[0.9961534,0.001505253,0.0003550792,0.0004851805,0.0005230751,0.0009780033],"domain_scores_gemma":[0.9986465,0.0004878182,0.0000428993,0.0003639494,0.0002037971,0.0002550528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007808091,0.0001234865,0.9869629,0.0001662656,0.000004468295,0.00005059736,0.002433527,2.23493e-7,0.000199213,0.002764157,0.006601058,0.0006160692],"study_design_scores_gemma":[0.0006252994,0.00007674219,0.9740342,0.0001012503,7.205019e-7,0.00001335436,0.002736509,0.00003085976,0.000008661148,0.001739997,0.02054152,0.0000908092],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819318,0.001098,0.00001809268,0.005689118,0.000163537,0.0008744735,0.000004545318,0.00004787046,0.01017255],"genre_scores_gemma":[0.9885451,0.001867258,0.0001090443,0.0003347484,0.0003135413,0.00009534499,0.000005524626,0.00002024334,0.008709219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01394046,"threshold_uncertainty_score":0.9999453,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2104397112","doi":"10.4054/demres.2007.16.12","title":"High fertility Gambians in low fertility Spain","year":2007,"lang":"en","type":"article","venue":"Demographic Research","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Fertility; Census; Ethnography; Geography; Demography; Political science; Demographic economics; Gender studies; Sociology; Genealogy; Population; History; Economics; Archaeology","retraction":null,"screen_n_in":null,"score":{"opus":0.05538302605668679,"gpt":0.3965269483194688,"spread":0.3411439222627821,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02305793,0.0001027811,0.0001720771,0.0007066038,0.0005896654,0.0001257432,0.0004821997,0.0002325594,0.0004963315],"category_scores_gemma":[0.001436329,0.0001025267,0.00008798264,0.004140044,0.0009136185,0.0001719585,0.0000640893,0.0007443501,0.00005283573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001989018,"about_ca_system_score_gemma":0.0002613819,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02076814,"about_ca_topic_score_gemma":0.5873277,"domain_scores_codex":[0.9954265,0.001431454,0.0003699271,0.000405427,0.001343114,0.001023548],"domain_scores_gemma":[0.9982764,0.0005824006,0.00003507653,0.0004001663,0.0003830304,0.0003228935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002175576,0.0004124888,0.9063278,0.00003597903,0.00001076585,0.00005558642,0.01183435,0.00001627638,0.000186088,0.06352671,0.000530657,0.01684574],"study_design_scores_gemma":[0.0002463206,0.00003093406,0.9789506,0.0000213965,0.000001206019,1.444807e-7,0.004288906,0.0005492019,0.00003961428,0.01036298,0.005392884,0.0001158416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851916,0.00009378075,0.0005590788,0.001888467,0.000142393,0.0004571993,0.000007692325,0.000077909,0.01158192],"genre_scores_gemma":[0.998446,0.0001544305,0.0002013187,0.0001379171,0.00007043494,0.00001698795,0.00001028131,0.00001012716,0.0009525201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5665596,"threshold_uncertainty_score":0.9857526,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2398671173","doi":"10.4054/demres.2016.34.30","title":"Human capital on the move: Education as a determinant of internal migration in selected INDEPTH surveillance populations in Africa","year":2016,"lang":"en","type":"article","venue":"Demographic Research","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Centre for Global Health Research","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Allergy and Infectious Diseases; Wellcome Trust","keywords":"Human capital; Internal migration; Geography; Capital (architecture); Economic geography; Rural area; Economic growth; Development economics; Demographic economics; Socioeconomics; Political science; Economics; Developing country","retraction":null,"screen_n_in":null,"score":{"opus":0.06852650050491214,"gpt":0.40583314099597,"spread":0.3373066404910579,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025199,0.00006243899,0.000093419,0.0007404669,0.0002174522,0.00004497544,0.000268519,0.00008763066,0.00007920666],"category_scores_gemma":[0.001113999,0.00004009819,0.00003286987,0.00254723,0.0002820948,0.0001174654,0.00002273039,0.0002377409,0.000008275823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001248486,"about_ca_system_score_gemma":0.0003692303,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01557209,"about_ca_topic_score_gemma":0.4903958,"domain_scores_codex":[0.9975476,0.001115761,0.000264235,0.0001790275,0.0006045768,0.0002888196],"domain_scores_gemma":[0.9990037,0.0003319573,0.00007424702,0.0001762833,0.0003597321,0.00005407009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002198971,0.000180896,0.8346138,0.000003791675,0.000003053369,0.000001089873,0.01702387,0.000003957658,0.001747454,0.1411403,0.0003880066,0.004871803],"study_design_scores_gemma":[0.0001637844,0.00006986376,0.9816636,0.00007814207,5.534698e-7,2.894966e-7,0.004205147,0.0001556474,0.00005134314,0.01267831,0.0008711118,0.00006216825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931793,0.00003806483,0.0000171873,0.003242498,0.00005509301,0.0003735912,0.000005280003,0.0000105699,0.003078397],"genre_scores_gemma":[0.9987716,0.0000892949,0.00001604392,0.00002461856,0.00003524761,0.00006951833,0.000004674893,0.000005992149,0.0009830054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4748237,"threshold_uncertainty_score":0.9909833,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4283265634","doi":"10.4054/demres.2022.46.38","title":"Increases in shared custody after divorce in the United States","year":2022,"lang":"en","type":"article","venue":"Demographic Research","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Child custody; Demography; Political science; Psychology; Demographic economics; Geography; Criminology; Sociology; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.08472082111692757,"gpt":0.3877117527260576,"spread":0.30299093160913,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008516542,0.00006075884,0.00008211281,0.001506308,0.001082139,0.0001278084,0.0006250097,0.00005573697,0.0002556818],"category_scores_gemma":[0.0004248165,0.00004743188,0.00004521491,0.008772748,0.0004721879,0.00009039605,0.0001940515,0.001035556,0.000009243263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000103108,"about_ca_system_score_gemma":0.0001383302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07397477,"about_ca_topic_score_gemma":0.04424028,"domain_scores_codex":[0.9940106,0.003947523,0.000178112,0.0002039063,0.001167339,0.0004925097],"domain_scores_gemma":[0.9981218,0.001495909,0.00002149829,0.0002127476,0.00008488276,0.00006315931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000480229,0.0001989276,0.9565398,0.000005716546,0.00000547299,0.0000842954,0.01924674,0.0006474494,0.000002627354,0.02136539,0.001632217,0.0002233205],"study_design_scores_gemma":[0.0002513288,0.00004611339,0.858363,0.00001525446,0.0000018118,9.033574e-7,0.07165913,0.003779578,5.668436e-8,0.01700786,0.04878321,0.00009174364],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905416,0.0004848804,0.000002089374,0.004673027,0.00003758716,0.0004221294,0.00002614542,0.00001569227,0.003796789],"genre_scores_gemma":[0.9981928,0.0006455148,0.00001327616,0.0002724162,0.00002671103,0.0004015311,0.000077364,0.000007845751,0.0003624955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09817681,"threshold_uncertainty_score":0.9731998,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2101388207","doi":"10.4054/demres.2014.30.43","title":"White-Hispanic differences in meeting lifetime fertility intentions in the U.S.","year":2014,"lang":"en","type":"article","venue":"Demographic Research","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Aging","keywords":"Fertility; Demography; National Survey of Family Growth; Ethnic group; Parity (physics); Quarter (Canadian coin); Total fertility rate; Psychology; Gerontology; Medicine; Population; Family planning; Geography; Sociology; Research methodology","retraction":null,"screen_n_in":null,"score":{"opus":0.1028791953750846,"gpt":0.3766325636588559,"spread":0.2737533682837713,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01732837,0.00007248983,0.0001292777,0.0006995701,0.0008772346,0.0001762623,0.0006838742,0.0001416276,0.00003354683],"category_scores_gemma":[0.002494485,0.00005101295,0.00007353867,0.003365494,0.0007714261,0.000104709,0.00007804728,0.0009294989,0.00001912592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000050669,"about_ca_system_score_gemma":0.0001140388,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005726425,"about_ca_topic_score_gemma":0.08456933,"domain_scores_codex":[0.994086,0.003732203,0.0002713974,0.0002600214,0.001096209,0.0005542247],"domain_scores_gemma":[0.9976432,0.001826137,0.00003405689,0.000269608,0.0001504359,0.00007660598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004835023,0.00007238469,0.9542509,0.000005369914,0.000002715167,0.000001239067,0.005394284,0.000007126777,0.00001130617,0.03937424,0.0001062815,0.0007693099],"study_design_scores_gemma":[0.0001072176,0.00002478502,0.9577077,0.00004829611,0.000001551811,1.251141e-7,0.009409682,0.003485065,1.203416e-7,0.02822388,0.000930411,0.00006116003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9362962,0.0002114802,0.00005598794,0.007662558,0.00008996777,0.0003277544,0.000001179124,0.00001936361,0.05533555],"genre_scores_gemma":[0.9992265,0.0003026997,0.00005997236,0.00006309623,0.00004917028,0.00006396113,0.000002714053,0.000005398165,0.000226481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07884291,"threshold_uncertainty_score":0.9321349,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2146960739","doi":"10.4054/demres.2013.28.37","title":"Transitions to adulthood in urban Kenya","year":2013,"lang":"en","type":"article","venue":"Demographic Research","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"National Institute of Child Health and Human Development; National Institutes of Health","keywords":"Order (exchange); Geography; Key (lock); Economic geography; Business; Computer security; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.0372648846749797,"gpt":0.358250044527408,"spread":0.3209851598524283,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00161745,0.00007037571,0.0001003148,0.000730554,0.0008634885,0.0001544735,0.0004230504,0.00009951379,0.0009795001],"category_scores_gemma":[0.0002393473,0.00006938379,0.00006160526,0.003067791,0.0002621137,0.000269015,0.00001764358,0.0003328372,0.0004022954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006689572,"about_ca_system_score_gemma":0.0003385895,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01492422,"about_ca_topic_score_gemma":0.02299727,"domain_scores_codex":[0.9975544,0.0006150026,0.0001663956,0.0002641762,0.0007321771,0.0006678878],"domain_scores_gemma":[0.9988773,0.0001677797,0.00001273353,0.0002455374,0.00033715,0.0003595221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001504504,0.0005347981,0.529512,0.00002384271,0.00002050117,0.000004698489,0.1837227,0.000003423622,0.0001625884,0.07932949,0.1863733,0.02029755],"study_design_scores_gemma":[0.0001981114,0.00005079005,0.7005318,0.00003835995,0.000001914536,4.068729e-7,0.0270985,0.00001280453,0.00001389805,0.01212311,0.2597929,0.0001374378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8774214,0.0004965531,0.00002938762,0.05622465,0.0001559734,0.0007930525,0.000008095953,0.00005038405,0.06482054],"genre_scores_gemma":[0.9971911,0.0005603879,0.0001432427,0.0003443954,0.0002566496,0.0001919412,0.00000846063,0.000009893583,0.001293923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1710198,"threshold_uncertainty_score":0.9999337,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2118731131","doi":"10.4054/demres.2010.22.1","title":"Extra-marital sexual partnerships and male friendships in rural Malawi","year":2010,"lang":"en","type":"article","venue":"Demographic Research","topic":"Adolescent Sexual and Reproductive Health","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Psychology; Human immunodeficiency virus (HIV); Marital status; Demography; Sexual relationship; Social psychology; Gender studies; Population; Sociology; Human sexuality; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.3222484471347197,"gpt":0.510340636922517,"spread":0.1880921897877972,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00748319,0.0001969051,0.0003145743,0.0008256314,0.001285929,0.00002732895,0.0003195195,0.0004578191,0.0009545958],"category_scores_gemma":[0.0008299929,0.0001628639,0.00003764406,0.001405695,0.0009331665,0.0002217783,0.0003292549,0.005958797,0.0002437545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000416389,"about_ca_system_score_gemma":0.0003081028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003921452,"about_ca_topic_score_gemma":0.003638303,"domain_scores_codex":[0.9946178,0.001803107,0.0005433299,0.0006838548,0.0007589118,0.001593037],"domain_scores_gemma":[0.9975243,0.0009893993,0.00008022802,0.0005999588,0.0002925736,0.0005135896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001642686,0.0002229422,0.9702839,0.0002960517,0.000008868417,0.00004063445,0.001552998,6.642931e-8,0.003152088,0.0176123,0.003325281,0.00334062],"study_design_scores_gemma":[0.001008965,0.000228026,0.9496549,0.00009829972,0.000003351837,0.00003163662,0.01761196,0.00008093558,0.00002105926,0.003837579,0.02718476,0.0002385616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815249,0.0002991362,0.000007525191,0.006485547,0.0006330432,0.001172529,0.00001380535,0.00007551684,0.009788031],"genre_scores_gemma":[0.9904755,0.000124719,0.0001781768,0.0001744071,0.0008028626,0.0001887807,0.00002162986,0.0000362659,0.007997626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02385948,"threshold_uncertainty_score":0.9999587,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2130390106","doi":"10.4054/demres.2013.29.28","title":"Putting on the moves","year":2013,"lang":"en","type":"article","venue":"Demographic Research","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Vitality; Circulation (fluid dynamics); Capital (architecture); Business; Economics; Labour economics; Economic growth; Economic geography; Geography; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.07126079667692574,"gpt":0.2962713282731121,"spread":0.2250105315961863,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001715459,0.00007138361,0.00006782746,0.00002779651,0.0006809297,0.0001984276,0.0004064925,0.00005264999,0.001128684],"category_scores_gemma":[0.0003782698,0.0000170066,0.00006483692,0.001119903,0.0002009251,0.00009358614,0.0001095375,0.0003100345,0.0003068557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001432197,"about_ca_system_score_gemma":0.000007128504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004953005,"about_ca_topic_score_gemma":0.00005883969,"domain_scores_codex":[0.9983753,0.0003359893,0.0001187241,0.0002142512,0.0005072182,0.0004485253],"domain_scores_gemma":[0.9983659,0.001233779,0.00001622354,0.00008009955,0.0002246152,0.00007933854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001097835,0.0001011378,0.3099005,0.000008356428,0.00001771775,0.000004298127,0.0001626185,4.108929e-7,0.03263108,0.01959834,0.06810309,0.5694615],"study_design_scores_gemma":[0.00002075178,0.00008097128,0.9099071,0.000006358601,3.439653e-7,4.440107e-7,0.000772266,0.00003888703,0.0005157053,0.07009638,0.01850509,0.00005572162],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9469597,0.0000447865,1.264926e-7,0.04316486,0.00002715921,0.0004148831,7.269758e-7,0.00003480922,0.009352931],"genre_scores_gemma":[0.997971,0.0000367233,0.00002053282,0.0002980269,0.00009138571,0.0001111529,0.000003991008,4.560114e-7,0.001466733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6000065,"threshold_uncertainty_score":0.9997844,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2518468037","doi":"10.4054/demres.2016.35.11","title":"The gendered effects of labour market experiences on marriage timing in Egypt","year":2016,"lang":"en","type":"article","venue":"Demographic Research","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Marriage market; Labour economics; Economics; Demographic economics","retraction":null,"screen_n_in":null,"score":{"opus":0.07188704140890807,"gpt":0.3844937345291223,"spread":0.3126066931202142,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00567333,0.00006297973,0.00009764145,0.0003764987,0.0008696012,0.00006291352,0.0004712983,0.0001102858,0.00006383901],"category_scores_gemma":[0.002088701,0.0000336919,0.00005904104,0.001387906,0.001110287,0.00008122248,0.00006324102,0.0002471099,0.000009579344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004546228,"about_ca_system_score_gemma":0.0001212922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000610417,"about_ca_topic_score_gemma":0.001894035,"domain_scores_codex":[0.9967249,0.001530364,0.0001826997,0.000197818,0.0008769563,0.0004872751],"domain_scores_gemma":[0.9939286,0.00558105,0.00004348589,0.0002372774,0.0001224814,0.00008714565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001727858,0.0001860967,0.3000065,0.00008688009,0.00005045677,0.00004147309,0.04347902,0.000003156858,0.002427612,0.585665,0.004115683,0.06376533],"study_design_scores_gemma":[0.001057254,0.0002631498,0.8347377,0.0004808091,0.00000367897,5.340668e-7,0.06346121,0.0002851406,0.0004325898,0.06084375,0.03817639,0.0002577889],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740412,0.0004656675,0.0000215939,0.002262389,0.0002320247,0.0003547656,0.000001840536,0.00001313703,0.02260744],"genre_scores_gemma":[0.99349,0.002254583,0.00003250298,0.00001552803,0.00005210259,0.00009440946,1.927941e-7,0.00000689568,0.00405377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5347312,"threshold_uncertainty_score":0.6688357,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2153551872","doi":"10.4054/demres.2014.30.38","title":"Socioeconomic fertility differentials in a late transition setting: A micro-level analysis of the Saguenay region in Quebec","year":2014,"lang":"en","type":"article","venue":"Demographic Research","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université de Montréal; Concordia University","funders":"","keywords":"Fertility; Socioeconomic status; Demographic transition; Geography; Demography; Population; Total fertility rate; Historical demography; Research methodology; Sociology; Family planning","retraction":null,"screen_n_in":null,"score":{"opus":0.07485089190949491,"gpt":0.3523802437838485,"spread":0.2775293518743536,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060472,0.0000737623,0.0002417738,0.001219403,0.0003443767,0.00005637899,0.0003493039,0.0001929971,0.00001627095],"category_scores_gemma":[0.0002624846,0.00005806189,0.0002310396,0.003015402,0.0006756088,0.00009344098,0.00004182262,0.0004743015,0.000002461524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001435125,"about_ca_system_score_gemma":0.0001430963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1386265,"about_ca_topic_score_gemma":0.7458874,"domain_scores_codex":[0.9957879,0.002811656,0.0003771372,0.000262549,0.0003891454,0.000371641],"domain_scores_gemma":[0.9987824,0.0006943799,0.00008367483,0.0002779907,0.0001058227,0.00005570873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000245674,0.00008197303,0.9798092,0.00001514637,0.00006128559,5.326933e-7,0.01412661,0.0006071398,0.0005995093,0.003238616,0.00002221522,0.001413176],"study_design_scores_gemma":[0.0002148438,0.000007278589,0.9744142,0.00003245867,0.00002901734,2.083792e-8,0.001442047,0.01456558,0.00001107913,0.00917564,0.00004700126,0.00006088636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941819,0.00005548645,0.0001763851,0.004547616,0.00004699417,0.0003267817,0.000005690021,0.000007983927,0.0006512117],"genre_scores_gemma":[0.9994763,0.0001030266,0.00002036046,0.00003254977,0.00001452382,0.00002169676,0.00001003937,0.000005757015,0.0003157345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6072609,"threshold_uncertainty_score":0.8671094,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4322486474","doi":"10.4054/demres.2023.48.11","title":"The question of the human mortality plateau: Contrasting insights by longevity pioneers","year":2023,"lang":"en","type":"article","venue":"Demographic Research","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"Longevity; Plateau (mathematics); Life span; Life expectancy; Demography; Geography; Sociology; History; Gerontology; Population; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.08484871685774485,"gpt":0.4365096792669717,"spread":0.3516609624092268,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.01602722,0.0001613792,0.0002276391,0.0004204104,0.005121069,0.0002401014,0.00133975,0.0001654227,0.00001602127],"category_scores_gemma":[0.001063005,0.0001060409,0.0002546205,0.00567538,0.003541138,0.0002129159,0.0003049904,0.0007658431,0.00002057803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000789461,"about_ca_system_score_gemma":0.0001175189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01176786,"about_ca_topic_score_gemma":0.01656281,"domain_scores_codex":[0.9919829,0.003273685,0.0005060892,0.0004370964,0.002849024,0.0009511573],"domain_scores_gemma":[0.9972489,0.001073832,0.0001993065,0.0007899181,0.000537453,0.0001505236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001188827,0.00008552458,0.8601252,0.00004337534,0.0001487853,0.000006708365,0.002779007,0.00001694179,0.0007353312,0.1204432,0.01244615,0.003157855],"study_design_scores_gemma":[0.0002124191,0.00003206899,0.9487629,0.00005673644,0.0000227586,1.482823e-7,0.003681812,0.0001487967,0.0001506206,0.02529463,0.02149654,0.0001405891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825765,0.0006480664,0.00001781648,0.001720921,0.0004783842,0.001146174,0.00001741576,0.0001567721,0.01323799],"genre_scores_gemma":[0.9971944,0.001760813,0.000004827381,0.00003314058,0.0001335555,0.0001113394,0.00001276072,0.00001922752,0.0007299248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0951486,"threshold_uncertainty_score":0.9991707,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2803380828","doi":"10.4054/demres.2018.38.51","title":"Change and continuity in the fertility of unpartnered women in Latin America, 1980–2010","year":2018,"lang":"en","type":"article","venue":"Demographic Research","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Cohabitation; Fertility; Total fertility rate; Poisson regression; Demography; Latin Americans; Census; Population; Geography; Family planning; Research methodology; Political science; Sociology","retraction":null,"screen_n_in":null,"score":{"opus":0.187447707491883,"gpt":0.4102444443612116,"spread":0.2227967368693286,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009306937,0.00005184523,0.0001361724,0.0004211978,0.0003020225,0.00004300642,0.0002984609,0.0001027342,0.00002286855],"category_scores_gemma":[0.0007138903,0.00003767373,0.00002489008,0.002691622,0.002273289,0.00008558496,0.00007069506,0.0004242319,0.000004145961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004177067,"about_ca_system_score_gemma":0.00007730551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01848008,"about_ca_topic_score_gemma":0.06790096,"domain_scores_codex":[0.9970713,0.001523691,0.0001923072,0.0001828434,0.0005378241,0.000492078],"domain_scores_gemma":[0.9987854,0.0007448958,0.00003912496,0.0002048019,0.0001477549,0.0000779637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002891838,0.00006807051,0.9210438,0.000007814821,0.000003244293,0.000001569419,0.06161937,9.544167e-8,0.00004200645,0.01212708,0.00004369539,0.005014395],"study_design_scores_gemma":[0.0001762018,0.00006154559,0.96482,0.00001546561,6.683044e-7,6.043835e-8,0.01617105,0.0003172143,0.000001081651,0.01606157,0.002334451,0.00004067836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880384,0.0001427669,0.000002041001,0.002020577,0.00004355419,0.0004376179,0.000005352218,0.000006008525,0.00930373],"genre_scores_gemma":[0.9993063,0.0002937556,0.00003227666,0.00005019875,0.00004628924,0.00008005206,0.000001692399,0.00000355372,0.000185868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04942087,"threshold_uncertainty_score":0.9880559,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2473391581","doi":"10.4054/demres.2016.35.3","title":"Pragmatic tradition or romantic aspiration? The causes of impulsive marriage and early divorce among women in rural Malawi","year":2016,"lang":"en","type":"article","venue":"Demographic Research","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"National Institute of Allergy and Infectious Diseases; Fonds de Recherche du Québec-Société et Culture; National Institute on Aging; National Institutes of Health; Center for AIDS Research, University of Washington; University of Pennsylvania","keywords":"Romance; Gender studies; Sociology; Political science; Psychology; Psychoanalysis","retraction":null,"screen_n_in":null,"score":{"opus":0.04681147003560861,"gpt":0.3449711709394702,"spread":0.2981597009038616,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004345529,0.00006936637,0.0001331249,0.0004152185,0.0005501088,0.00009267534,0.0002318199,0.0001024341,0.00004646319],"category_scores_gemma":[0.0008444726,0.00003653045,0.00003629355,0.001261387,0.001471528,0.0002975062,0.00004636225,0.0002314711,0.000003967019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006970653,"about_ca_system_score_gemma":0.0001358881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003194108,"about_ca_topic_score_gemma":0.007984327,"domain_scores_codex":[0.997451,0.001104067,0.0002487989,0.000151872,0.0006178527,0.0004263894],"domain_scores_gemma":[0.99788,0.001629777,0.00007465747,0.0001693921,0.0001386973,0.000107477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002935991,0.00004072693,0.9405084,0.00002565729,0.00002264256,0.00000820356,0.01355373,0.000002075437,0.0003833461,0.04349688,0.00003812702,0.001890859],"study_design_scores_gemma":[0.0003001219,0.0001435023,0.9533388,0.000115445,0.000004111839,7.850598e-7,0.01370178,0.0001427747,0.000003805628,0.03213773,0.00004890346,0.00006226109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963781,0.00009283032,0.00002699629,0.001583283,0.00005158751,0.0005621151,0.000007143477,0.00001207181,0.001285853],"genre_scores_gemma":[0.9987916,0.0003658503,0.00001816195,0.000008492669,0.0000422105,0.0001030713,0.000001215824,0.000008012298,0.0006613614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01283039,"threshold_uncertainty_score":0.5421906,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2105412085","doi":"10.4054/demres.2014.30.59","title":"Towards a Geography of Unmarried Cohabitation in the Americas","year":2014,"lang":"en","type":"article","venue":"Demographic Research","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Cohabitation; Census; Geography; Economic geography; Microdata (statistics); Demographic economics; Context (archaeology); Demography; Human geography; Population; Sociology; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.08515709279601061,"gpt":0.4175527987205251,"spread":0.3323957059245145,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009970921,0.00005041243,0.0001026893,0.0007538552,0.0004676901,0.00005722488,0.0004430007,0.00009243267,0.00001384387],"category_scores_gemma":[0.001065496,0.00003580634,0.00008529342,0.004204538,0.001242903,0.00007212019,0.00002848389,0.0003980529,0.000006287375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001466968,"about_ca_system_score_gemma":0.0001006226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004778886,"about_ca_topic_score_gemma":0.002618217,"domain_scores_codex":[0.9961135,0.002202084,0.0001913811,0.0001497356,0.00101958,0.0003237375],"domain_scores_gemma":[0.9981557,0.001267372,0.00004809746,0.0002187538,0.0002538131,0.00005623442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001101624,0.00007010347,0.5759082,0.00001070924,0.000009570577,9.560302e-7,0.007198757,0.00002278188,0.00003585251,0.4062296,0.0002898478,0.01021259],"study_design_scores_gemma":[0.0001579273,0.00007690894,0.9086716,0.00001662536,0.000003268074,1.842189e-7,0.006668631,0.0009200968,0.000001533272,0.07225493,0.01117339,0.00005494183],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9328772,0.0001475624,0.0003093259,0.003970818,0.00006732142,0.0003381104,0.000002156393,0.00001347092,0.06227407],"genre_scores_gemma":[0.9991692,0.0003603431,0.0002719012,0.00007232583,0.00004527794,0.00003865989,0.000004939557,0.000004966927,0.00003238527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3339747,"threshold_uncertainty_score":0.7224277,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2552482645","doi":"10.4054/demres.2016.35.45","title":"The diffusion of cohabitation and children’s risks of family dissolution in Canada","year":2016,"lang":"en","type":"article","venue":"Demographic Research","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Cohabitation; National Survey of Family Growth; Demographic economics; Demography; Diffusion; Sociology; Economics; Political science; Population; Family planning; Research methodology; Physics; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.1016438277654226,"gpt":0.3867714456231678,"spread":0.2851276178577453,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002385159,0.00003235597,0.00006775106,0.0001720723,0.000376994,0.000009950497,0.0001406489,0.00004922019,0.000001385757],"category_scores_gemma":[0.0005193364,0.00001836012,0.00001907997,0.0006975891,0.0006719936,0.00005062214,0.00003596151,0.0001217631,2.204492e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009301171,"about_ca_system_score_gemma":0.0005225227,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9157862,"about_ca_topic_score_gemma":0.9747444,"domain_scores_codex":[0.9984118,0.0005288625,0.0001761146,0.00009644842,0.0005850032,0.0002017562],"domain_scores_gemma":[0.9986118,0.001012141,0.0000550917,0.0001034693,0.0001712215,0.00004625993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001089487,0.00001001693,0.9633622,0.000002957386,0.000004266091,1.48452e-7,0.0004450301,0.000002186367,0.0007507407,0.02334619,0.00005998883,0.01200534],"study_design_scores_gemma":[0.0001563896,0.00001819464,0.9910762,0.00004708037,0.000001378564,6.208123e-8,0.001912068,0.0001804616,0.000007442547,0.00647959,0.00009570094,0.00002539562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970604,0.0006758747,0.00003568646,0.001328559,0.00005005466,0.000209106,0.000008884606,0.000002089422,0.0006293923],"genre_scores_gemma":[0.9952561,0.004663993,0.00001218284,0.000002651171,0.0000101703,0.000008030118,0.000001168164,0.000002731545,0.00004301985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05895827,"threshold_uncertainty_score":0.2899571,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2962678399","doi":"10.4054/demres.2019.41.12","title":"Impacts of education and immigration on the size and skills of the future workforce","year":2019,"lang":"en","type":"article","venue":"Demographic Research","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Immigration; Workforce; Productivity; Demographic economics; Fertility; Population ageing; Population; Population size; Age structure; Labour economics; Economics; Geography; Economic growth; Sociology; Demography","retraction":null,"screen_n_in":null,"score":{"opus":0.01535115741421474,"gpt":0.3512561088763303,"spread":0.3359049514621156,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001746366,0.00004006606,0.00006424064,0.00008665908,0.000241439,0.00003952984,0.0001522901,0.00006731789,0.00004409673],"category_scores_gemma":[0.0003464438,0.00002164977,0.00002911619,0.0009618768,0.0003917744,0.00006694089,0.00002662166,0.0001749447,0.000001094803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001070287,"about_ca_system_score_gemma":0.0001664406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006215242,"about_ca_topic_score_gemma":0.00782642,"domain_scores_codex":[0.9987246,0.0004649398,0.000104774,0.00009711639,0.0004804471,0.0001281339],"domain_scores_gemma":[0.9988331,0.0006472337,0.00006276307,0.0001861092,0.0002273713,0.00004342769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002652647,0.0001055821,0.5184417,0.0000353564,0.00001338898,3.264731e-8,0.03183468,0.000002830121,0.002305927,0.4275399,0.001659965,0.01803404],"study_design_scores_gemma":[0.0001384467,0.00008965722,0.934839,0.0001011965,0.000005143685,3.455266e-7,0.04141992,0.0001352432,0.0002532284,0.008031015,0.01492857,0.0000582303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870041,0.00042761,0.000001230672,0.008869991,0.0001020747,0.0003884768,0.00000307377,0.000003250743,0.003200171],"genre_scores_gemma":[0.9964349,0.002121542,0.00001503325,0.0001122811,0.00005824754,0.000006643608,9.106199e-7,0.000003095276,0.001247301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4195089,"threshold_uncertainty_score":0.4367326,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2164041936","doi":"10.4054/demres.2008.18.19","title":"Does the recent evolution of Canadian mortality agree with the epidemiologic transition theory?","year":2008,"lang":"en","type":"article","venue":"Demographic Research","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Transition (genetics); Epidemiological transition; Demographic transition; Demography; Genealogy; Geography; History; Sociology; Population; Biology; Fertility","retraction":null,"screen_n_in":null,"score":{"opus":0.1188834113332794,"gpt":0.3655809152751436,"spread":0.2466975039418643,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.02347723,0.0001712636,0.0002605258,0.001059697,0.003592384,0.00005441604,0.001097819,0.0001565297,0.0001503873],"category_scores_gemma":[0.0005721671,0.00007306215,0.0001973214,0.006746281,0.006456064,0.000183825,0.000050248,0.0007128351,0.0000122484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001904139,"about_ca_system_score_gemma":0.0005940552,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5002031,"about_ca_topic_score_gemma":0.815085,"domain_scores_codex":[0.9897999,0.006536175,0.0003825546,0.0004425949,0.001803938,0.001034888],"domain_scores_gemma":[0.9968726,0.001129388,0.0001428686,0.000845068,0.0007775037,0.0002325634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009452988,0.000106687,0.6815251,0.00002964736,0.0002378288,0.00003354944,0.0107885,0.0001128328,0.00001787469,0.2958629,0.007081894,0.004108714],"study_design_scores_gemma":[0.0001646061,0.00008786358,0.9000754,0.00002097338,0.00003718231,0.000002174826,0.01253219,0.00003747391,0.0000110287,0.04055981,0.04633553,0.0001358155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9308152,0.0009244368,0.0004014759,0.03509547,0.0002272955,0.001786412,0.00003623377,0.0000580444,0.03065546],"genre_scores_gemma":[0.9905858,0.008443316,0.0000510122,0.0003302406,0.0001761755,0.000164092,0.000008657915,0.00001375961,0.0002269517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3148818,"threshold_uncertainty_score":0.9977048,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1981910287","doi":"10.4054/demres.2011.24.27","title":"HIV/AIDS and time allocation in rural Malawi","year":2011,"lang":"en","type":"article","venue":"Demographic Research","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal; Université de Montréal","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Human immunodeficiency virus (HIV); Rural area; Geography; Socioeconomics; Economic growth; Demography; Economics; Medicine; Sociology; Virology","retraction":null,"screen_n_in":null,"score":{"opus":0.05051052199358622,"gpt":0.344972301064168,"spread":0.2944617790705817,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002572256,0.00006066881,0.00008475612,0.0004390929,0.0005122086,0.00006336856,0.0002632901,0.00009752435,0.0005166502],"category_scores_gemma":[0.0001525963,0.00005862334,0.00002897424,0.001193751,0.000530687,0.0002571328,0.00003049465,0.0002215522,0.00009689336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003717346,"about_ca_system_score_gemma":0.0001901582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006456686,"about_ca_topic_score_gemma":0.002826062,"domain_scores_codex":[0.9982443,0.0005367221,0.0001306969,0.0001818386,0.0004896548,0.0004167208],"domain_scores_gemma":[0.9993924,0.0001221821,0.00002087827,0.0001651871,0.0001508588,0.0001484893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002027934,0.0001088254,0.8613014,0.00000894215,0.000008575448,0.000001954663,0.02685233,5.703847e-8,0.00005793495,0.09927914,0.003355476,0.009005111],"study_design_scores_gemma":[0.0002513512,0.00006613021,0.9235995,0.00003615673,0.000003595953,0.000001195138,0.01498917,0.00004245834,0.00003943084,0.0303055,0.03053121,0.0001343388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8757184,0.0007122177,0.000005965344,0.002017917,0.00006522796,0.0002341507,0.00000236855,0.00002915955,0.1212147],"genre_scores_gemma":[0.994036,0.001634829,0.0001647241,0.00004429986,0.0001124081,0.00002520291,0.000008930486,0.000007393565,0.003966189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1183177,"threshold_uncertainty_score":0.9760621,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2981116947","doi":"10.4054/demres.2019.41.36","title":"Mortality convergence of twins and singletons in sub-Saharan Africa","year":2019,"lang":"en","type":"article","venue":"Demographic Research","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Disadvantage; Demography; Convergence (economics); Geography; Demographic economics; Economics; Sociology; Political science; Economic growth","retraction":null,"screen_n_in":null,"score":{"opus":0.07706746480738051,"gpt":0.3797030301500543,"spread":0.3026355653426738,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001038907,0.00006843539,0.0002340357,0.0003468077,0.00003666716,0.000007162315,0.00009628072,0.00006879323,0.00009026899],"category_scores_gemma":[0.00006453591,0.00005532643,0.00004412647,0.0008704296,0.0002170001,0.00003948218,0.00006615802,0.0003511827,0.00003440543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001889739,"about_ca_system_score_gemma":0.0000868959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001046327,"about_ca_topic_score_gemma":0.0001488095,"domain_scores_codex":[0.9985448,0.000126127,0.000226918,0.0002216455,0.0005118664,0.0003686706],"domain_scores_gemma":[0.9993132,0.00009131694,0.0000270837,0.0002621974,0.0001347627,0.0001714899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008634083,0.0001225866,0.9876201,0.0003204429,0.00001661394,0.00002587427,0.0001125415,3.575943e-7,0.01005362,0.0007151496,0.0005808276,0.0003456057],"study_design_scores_gemma":[0.0006322109,0.000288458,0.9928334,0.0001957873,0.000005944469,0.00001162286,0.0000662812,0.00007562256,0.0007661165,0.001147261,0.003929544,0.00004774753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991326,0.001915782,0.000001219731,0.0008142998,0.00004893032,0.000434443,0.00001119018,0.00001047523,0.005437691],"genre_scores_gemma":[0.9972807,0.002452556,0.00002697332,0.00007105192,0.00002013857,0.000006405858,0.000003328269,0.000006334656,0.0001325497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009287506,"threshold_uncertainty_score":0.2256147,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389658814","doi":"10.4054/demres.2023.49.41","title":"The formal demography of kinship V: Kin loss, bereavement, and causes of death","year":2023,"lang":"en","type":"article","venue":"Demographic Research","topic":"Grief, Bereavement, and Mental Health","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Aging; Government of Canada; National Institutes of Health; National Institute of Child Health and Human Development; Canadian Institutes of Health Research; European Commission","keywords":"Kinship; Next of kin; Demography; Fictive kinship; Genealogy; Gerontology; Sociology; Medicine; Geography; History; Anthropology","retraction":null,"screen_n_in":null,"score":{"opus":0.136452079173487,"gpt":0.4385159869447769,"spread":0.3020639077712899,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004697588,0.0001714387,0.0002880113,0.001095439,0.0006034996,0.00003105494,0.0004702409,0.0001417218,0.000055611],"category_scores_gemma":[0.00007706783,0.0001245737,0.000152851,0.002690577,0.001169568,0.0000974318,0.0002706994,0.0004565293,0.00002662732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001675436,"about_ca_system_score_gemma":0.00007135083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002133851,"about_ca_topic_score_gemma":0.00105734,"domain_scores_codex":[0.9963863,0.0006167693,0.0005783901,0.000393015,0.0008775262,0.001147923],"domain_scores_gemma":[0.9976078,0.001100335,0.0001620617,0.0006606236,0.0002361334,0.0002330729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002386482,0.0001830384,0.8830566,0.0003143977,0.0001976069,0.00001884829,0.001188133,2.24209e-7,0.0004820868,0.102283,0.004865925,0.007171436],"study_design_scores_gemma":[0.001069374,0.0007521824,0.9734414,0.0001027942,0.00002070623,0.00001024153,0.003642159,0.000008702264,0.0009870974,0.01308286,0.006757438,0.0001250958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902685,0.00173122,0.00001175303,0.0005066873,0.0002477805,0.0007335526,0.00006811253,0.00004517457,0.006387173],"genre_scores_gemma":[0.9944555,0.004571707,0.00003111779,0.0000495835,0.00006105873,0.0001405832,0.00003039912,0.00002848748,0.0006315568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09038468,"threshold_uncertainty_score":0.5079968,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2116148538","doi":"10.4054/demres.2013.28.33","title":"The more you learn the less you know? Interpretive ambiguity across three modes of qualitative data","year":2013,"lang":"en","type":"article","venue":"Demographic Research","topic":"Focus Groups and Qualitative Methods","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Ambiguity; Need to know; Qualitative research; Sociology; Epistemology; Psychology; Computer science; Social science; Philosophy","retraction":null,"screen_n_in":null,"score":{"opus":0.4843333589223961,"gpt":0.6056153879323637,"spread":0.1212820290099676,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["metaresearch","sts"],"category_scores_codex":[0.05766305,0.0001910585,0.0003275408,0.0001485266,0.003576742,0.0004844588,0.003799958,0.0001647866,0.00008133229],"category_scores_gemma":[0.01103392,0.0001033009,0.0001733571,0.002376334,0.01362279,0.0005691817,0.001379176,0.001183161,0.00003509534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006498052,"about_ca_system_score_gemma":0.0002543646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05435694,"about_ca_topic_score_gemma":0.02563894,"domain_scores_codex":[0.9805079,0.01521616,0.0005108367,0.0006087626,0.002037654,0.001118646],"domain_scores_gemma":[0.9809256,0.01535683,0.0002042617,0.001591148,0.001726226,0.0001958986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001112531,0.0001200266,0.007427087,0.00003500879,0.0002073362,0.000001567388,0.5884163,0.000003537335,0.0003626479,0.2282342,0.006727533,0.1683535],"study_design_scores_gemma":[0.0001577734,0.0001373256,0.0192582,0.00007276431,0.000009608902,3.017744e-7,0.8423131,0.001075001,0.00008788795,0.1149957,0.0217259,0.0001663982],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437118,0.004096496,0.005047301,0.02941244,0.0002394322,0.001762616,0.000289456,0.00005785562,0.01538263],"genre_scores_gemma":[0.9954311,0.001106047,0.0008841889,0.00005715811,0.0001514472,0.0002016419,0.00001247146,0.00002374092,0.002132226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2538967,"threshold_uncertainty_score":0.9977205,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2603846750","doi":"10.4054/demres.2017.36.30","title":"Functional limitation trajectories and their determinants among women in the Philippines","year":2017,"lang":"en","type":"article","venue":"Demographic Research","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Institute on Aging; National Institutes of Health; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Period (music); Developing country; Demography; Demographic economics; Psychology; History; Gender studies; Sociology; Economics; Economic growth; Philosophy","retraction":null,"screen_n_in":null,"score":{"opus":0.1577255062088165,"gpt":0.4261193374892318,"spread":0.2683938312804153,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007090894,0.0000616113,0.0001105686,0.0001932754,0.00338616,0.0004502295,0.0003876715,0.00007787046,0.00003423275],"category_scores_gemma":[0.001688785,0.00003920208,0.00003066415,0.0002950596,0.001333641,0.0003609752,0.00005279476,0.0002655103,0.000003474103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004017614,"about_ca_system_score_gemma":0.000145922,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007764806,"about_ca_topic_score_gemma":0.04571407,"domain_scores_codex":[0.9979773,0.0005962087,0.0001328817,0.0001644101,0.0004825584,0.0006466041],"domain_scores_gemma":[0.9983817,0.001102438,0.00004189498,0.0002348501,0.000113493,0.0001255811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001018165,0.00001523867,0.9592767,0.00002353232,0.0000031063,0.000003097383,0.02586138,9.708919e-8,0.00000145356,0.005197374,0.0003977423,0.009210067],"study_design_scores_gemma":[0.0001297627,0.00002123881,0.9377725,0.00002133868,5.019238e-7,4.70898e-7,0.04027066,0.00001758077,0.000001698516,0.0116502,0.0100694,0.0000446302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875998,0.0002310751,0.000001828455,0.008504371,0.0001333885,0.000339328,0.000003012827,0.00001011341,0.003177072],"genre_scores_gemma":[0.9978623,0.001016806,0.000003960954,0.0001479943,0.0002285709,0.000185669,0.000001144762,0.000004441501,0.0005491584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03794926,"threshold_uncertainty_score":0.9988426,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3000619596","doi":"10.4054/demres.2020.42.4","title":"Assimilation and ethnic marriage-squeeze in early 20th century America: A gender perspective","year":2020,"lang":"en","type":"article","venue":"Demographic Research","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"National Institutes of Health; Hebrew University of Jerusalem; Eunice Kennedy Shriver National Institute of Child Health and Human Development; University of Texas at Austin","keywords":"Immigration; Ethnic group; Assimilation (phonology); Perspective (graphical); Late 19th century; Demographic economics; Gender studies; Demography; Geography; Sociology; Political science; History; Development economics; Economics; Anthropology; Period (music); Law","retraction":null,"screen_n_in":null,"score":{"opus":0.2369481374336047,"gpt":0.4341566760419331,"spread":0.1972085386083284,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002059411,0.0001577573,0.0002426612,0.0008004664,0.000555073,0.0002040149,0.0004008863,0.0002017943,0.0001804629],"category_scores_gemma":[0.0005454533,0.0001488666,0.00009822021,0.00515004,0.001156046,0.0003403019,0.0001474209,0.0009288873,0.00002128189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005887574,"about_ca_system_score_gemma":0.0002064643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006032193,"about_ca_topic_score_gemma":0.004930421,"domain_scores_codex":[0.9955456,0.00152992,0.0002563725,0.0006730232,0.00120067,0.0007944319],"domain_scores_gemma":[0.9985683,0.0004409346,0.00006174092,0.0001917081,0.0002921048,0.0004452287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001702618,0.0001440275,0.6158366,0.00004272304,0.0001084505,0.00007565617,0.2785228,0.000008536394,0.0001168218,0.04614639,0.001882498,0.05694523],"study_design_scores_gemma":[0.0004588477,0.0001620807,0.9058156,0.00001989649,0.000009692397,6.76577e-7,0.06158044,0.0001632821,0.000002783001,0.02271192,0.008859633,0.000215132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8976278,0.008230123,0.000174454,0.01912093,0.0001611517,0.0007827248,0.00001762931,0.0001465346,0.07373867],"genre_scores_gemma":[0.9919523,0.007218084,0.0001887841,0.0002718427,0.000216025,0.00005329121,0.000004223264,0.00001574408,0.00007973037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.289979,"threshold_uncertainty_score":0.9118911,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4280539976","doi":"10.4054/demres.2022.46.33","title":"Stability and outcome of interracial cohabitation before and after transitions to marriage","year":2022,"lang":"en","type":"article","venue":"Demographic Research","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Cohabitation; Race (biology); Sociology; Demographic economics; Remarriage; Gender studies; Social psychology; Demography; Psychology; Political science; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.08537839037480366,"gpt":0.3994914797319007,"spread":0.314113089357097,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003456484,0.0000412917,0.00008789694,0.0003590615,0.00091808,0.00003702698,0.00009709829,0.00004217784,0.0001291354],"category_scores_gemma":[0.0002202212,0.00004072907,0.00003554448,0.0009579642,0.000576968,0.0000762479,0.00009655749,0.0003079022,7.366136e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003663201,"about_ca_system_score_gemma":0.0000485606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006958356,"about_ca_topic_score_gemma":0.01580319,"domain_scores_codex":[0.9982292,0.0007184935,0.0001674495,0.0001702458,0.0005218022,0.0001928071],"domain_scores_gemma":[0.9994125,0.0002260291,0.00001879676,0.0001003641,0.0001299837,0.0001123225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004883988,0.00004387862,0.9352073,0.00002045451,0.000008450836,0.000001875233,0.03381151,0.000003192657,0.00008591747,0.02910204,0.00003737201,0.001629184],"study_design_scores_gemma":[0.0001303184,0.0001475793,0.9598266,0.000005563523,0.000005258146,5.094994e-7,0.021934,0.000219614,9.722355e-7,0.01657823,0.001101408,0.00004993669],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932138,0.00006643098,0.0001130876,0.004767655,0.00006947958,0.0004076425,0.00007148137,0.000009998868,0.001280409],"genre_scores_gemma":[0.9995307,0.00002108757,0.0001807155,0.00004044276,0.00001916368,0.0001092556,0.000007047719,0.00000468896,0.00008690652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02461933,"threshold_uncertainty_score":0.8818552,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2801756252","doi":"10.4054/demres.2018.38.44","title":"Measuring extended families over time in informal settlements in Nairobi, Kenya: Retention and data consistency in a two-round survey","year":2018,"lang":"en","type":"article","venue":"Demographic Research","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Kinship; Consistency (knowledge bases); Attrition; Descriptive statistics; Sample (material); Survey of Income and Program Participation; Selection bias; Data collection; Psychology; Fidelity; Survey data collection; Social psychology; Sociology; Demographic economics; Statistics; Economics; Computer science; Social science; Medicine; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.1302580967240954,"gpt":0.4094675987541273,"spread":0.2792095020300319,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01341938,0.00009552856,0.0001587466,0.001091352,0.0003428409,0.0001940819,0.0004521386,0.00008518097,0.00004805749],"category_scores_gemma":[0.0009493431,0.0001004843,0.00002306059,0.001780672,0.0006298856,0.0006358213,0.0003850006,0.0003537936,0.000009574546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001317618,"about_ca_system_score_gemma":0.0002785117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03906187,"about_ca_topic_score_gemma":0.6664849,"domain_scores_codex":[0.9966966,0.001106343,0.0003730826,0.000389865,0.0008767981,0.000557313],"domain_scores_gemma":[0.9989913,0.0003130778,0.00004408571,0.0003075763,0.0002716245,0.00007237982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005387235,0.00005159376,0.989162,0.0000123465,0.00001021614,0.00001085718,0.003087602,0.000005433064,0.0003754627,0.00460487,0.0002077392,0.002418022],"study_design_scores_gemma":[0.0005663843,0.00003946501,0.9854506,0.0001082989,0.000001161453,6.116848e-7,0.001864822,0.01035709,0.0000031837,0.001019701,0.0004720083,0.0001166644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898995,0.000172428,0.000008865963,0.0001156464,0.0001123355,0.0003203641,0.00004582047,0.000009186531,0.0093159],"genre_scores_gemma":[0.9988189,0.0004142153,0.00007335243,0.00003652693,0.00006089979,0.00002038816,0.0001271109,0.000008380794,0.0004401717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.627423,"threshold_uncertainty_score":0.9673371,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2131319534","doi":"10.4054/demres.2014.31.49","title":"Family size and intra-family inequalities in education in Ouagadougou","year":2014,"lang":"en","type":"article","venue":"Demographic Research","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"William and Flora Hewlett Foundation","keywords":"Inequality; Distribution (mathematics); Investment (military); Demographic economics; Psychology; Sociology; Economics; Political science; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.04514513822115067,"gpt":0.372056903511355,"spread":0.3269117652902043,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005633619,0.00009701349,0.000162922,0.0007446293,0.0004218346,0.0001589491,0.0003227071,0.000146541,0.00003315635],"category_scores_gemma":[0.001270621,0.00009850672,0.00003227149,0.001816322,0.0005443222,0.0002949235,0.00003707341,0.0004251143,0.00001215884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009827816,"about_ca_system_score_gemma":0.001103832,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04157411,"about_ca_topic_score_gemma":0.03885068,"domain_scores_codex":[0.9966931,0.001489607,0.0002685742,0.0003188768,0.000670286,0.0005595984],"domain_scores_gemma":[0.998363,0.001007539,0.00003664886,0.0002300579,0.0001968336,0.0001659289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002135949,0.0002294105,0.8137907,0.00004573218,0.000004757969,8.183138e-7,0.02580186,7.563601e-7,0.0001159213,0.100636,0.004026275,0.05532646],"study_design_scores_gemma":[0.0002234476,0.00003032256,0.8317202,0.00006264473,0.000001178394,2.495572e-7,0.03576108,0.00001360088,0.000004301608,0.03817425,0.09389938,0.00010939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.934526,0.003346287,0.00000474062,0.00465662,0.0002737918,0.0002973251,0.000002393843,0.00002330984,0.05686954],"genre_scores_gemma":[0.9907933,0.007178412,0.00009820412,0.0004652389,0.000290653,0.00005897862,0.000006652703,0.00001092271,0.001097608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08987311,"threshold_uncertainty_score":0.9786878,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2957362637","doi":"10.4054/demres.2019.41.8","title":"The health of biracial children in two-parent families in the United States","year":2019,"lang":"en","type":"article","venue":"Demographic Research","topic":"Racial and Ethnic Identity Research","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Population; Demography; Population health; Geography; Psychology; Sociology","retraction":null,"screen_n_in":null,"score":{"opus":0.08187749020227582,"gpt":0.4662488959438122,"spread":0.3843714057415364,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02277471,0.00008204782,0.0001873591,0.001200137,0.0009756277,0.0001889758,0.001298998,0.00006059562,0.00003973895],"category_scores_gemma":[0.000695918,0.00004937806,0.00007751377,0.00732344,0.001456821,0.0001327022,0.0001615748,0.0009394908,0.00004302565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009112136,"about_ca_system_score_gemma":0.0005243715,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3318962,"about_ca_topic_score_gemma":0.3690862,"domain_scores_codex":[0.9918066,0.004394227,0.0003804088,0.0002421099,0.002175458,0.001001202],"domain_scores_gemma":[0.9974447,0.001782335,0.0000626041,0.0003653175,0.0002528821,0.00009215668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007633286,0.0001169197,0.9435202,0.00001825495,0.00001132322,0.00000224413,0.02771543,0.00003968604,0.00001329151,0.0192027,0.001207881,0.008075731],"study_design_scores_gemma":[0.0004599513,0.0001547056,0.9225663,0.00004771587,7.220799e-7,4.038604e-7,0.05110136,0.0002320528,0.00000461748,0.01260472,0.01274763,0.00007982914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778985,0.0007549374,9.180335e-7,0.01592543,0.00009186663,0.001076655,0.000006745959,0.00001028335,0.004234672],"genre_scores_gemma":[0.9881318,0.01123569,0.000003889079,0.0001133736,0.0000810074,0.00005072488,0.00001644358,0.000007250019,0.0003598666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03719009,"threshold_uncertainty_score":0.7893306,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388448477","doi":"10.4054/demres.2023.49.29","title":"Ultra-Orthodox fertility and marriage in the United States: Evidence from the American Community Survey","year":2023,"lang":"en","type":"article","venue":"Demographic Research","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Fertility; National Survey of Family Growth; Demography; Political science; Sociology; Gender studies; Population; Family planning; Research methodology","retraction":null,"screen_n_in":null,"score":{"opus":0.3965147155961614,"gpt":0.4771944757460027,"spread":0.08067976014984124,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0517887,0.00007924662,0.0001291437,0.0003408812,0.002774453,0.0002810876,0.001019935,0.0000649649,0.00000852287],"category_scores_gemma":[0.007679227,0.00004664869,0.00004211864,0.01005578,0.003035369,0.0001022948,0.0001273093,0.001580561,0.00001254004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003123384,"about_ca_system_score_gemma":0.0001115838,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6067818,"about_ca_topic_score_gemma":0.4911008,"domain_scores_codex":[0.9673205,0.03090615,0.0001955594,0.0001950188,0.0009106552,0.000472134],"domain_scores_gemma":[0.9550415,0.04406294,0.0000485386,0.0005457741,0.0002136549,0.00008759659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003314546,0.00002489328,0.9711152,0.000003389579,0.000009947954,0.000003437512,0.02685345,0.00002607354,0.000009799159,0.0004221768,0.0007222239,0.0007762612],"study_design_scores_gemma":[0.00005910122,0.00002984262,0.9279991,0.00003184719,0.000002454735,6.191181e-8,0.06009907,0.001340296,2.1693e-7,0.009730709,0.0006526667,0.00005460442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911937,0.0001997482,0.00001866183,0.007655258,0.00004125723,0.0004178695,0.00006659835,0.00003705117,0.0003698764],"genre_scores_gemma":[0.9937882,0.005754624,0.00001352501,0.0002134036,0.00001733567,0.00003615063,0.0001199392,0.000007087732,0.00004971897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.115681,"threshold_uncertainty_score":0.9996778,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2105525533","doi":"10.4054/demres.2011.24.34","title":"A Dynamic Extension of the Period Life Table","year":2011,"lang":"en","type":"article","venue":"Demographic Research","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Period (music); Table (database); Life table; Allowance (engineering); Demography; Economics; Operations management; Computer science; Sociology; Population; Philosophy; Database","retraction":null,"screen_n_in":null,"score":{"opus":0.113845145307739,"gpt":0.3790085593205095,"spread":0.2651634140127705,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006944124,0.0001376986,0.0002341129,0.0006668232,0.001410946,0.00007637402,0.001316537,0.0001512543,0.0003741494],"category_scores_gemma":[0.0006938369,0.0001032229,0.0002560786,0.004612686,0.002612646,0.0002031167,0.0003612527,0.0005438906,0.00004038633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004374213,"about_ca_system_score_gemma":0.0002849566,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008093921,"about_ca_topic_score_gemma":0.006737564,"domain_scores_codex":[0.9948391,0.001387158,0.0003658121,0.0004406431,0.002091596,0.0008756779],"domain_scores_gemma":[0.9978797,0.0001345106,0.0001256403,0.0009588476,0.0006890178,0.0002122752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007953226,0.000418584,0.8999251,0.00008848145,0.0001256099,0.00001908743,0.01438848,0.000004940413,0.0003267359,0.07510799,0.005007125,0.004508357],"study_design_scores_gemma":[0.0002433548,0.00007524775,0.957998,0.00005735217,0.00002115314,8.294321e-7,0.00816336,0.0001257953,0.00005134383,0.01302983,0.02007495,0.0001587379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9028784,0.0008928498,0.00003847115,0.0009610965,0.0004446053,0.0009733481,0.000009008898,0.00006795314,0.09373429],"genre_scores_gemma":[0.9970409,0.001144551,0.0003008452,0.00009176967,0.00004851076,0.00007257853,0.000001484055,0.00002113689,0.00127822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09416252,"threshold_uncertainty_score":0.9998891,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4393403622","doi":"10.4054/demres.2024.50.23","title":"Age-heterogamous partnerships: Prevalence and partner differences by marital status and gender composition","year":2024,"lang":"en","type":"article","venue":"Demographic Research","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Northwestern University","keywords":"Marital status; Composition (language); Psychology; Demography; Environmental health; Geography; Gerontology; Medicine; Sociology","retraction":null,"screen_n_in":null,"score":{"opus":0.1730708671036375,"gpt":0.4044270689484643,"spread":0.2313562018448268,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001849269,0.0001022938,0.0001114033,0.00030685,0.0009411058,0.0007330718,0.0001360753,0.0001582719,0.00003333971],"category_scores_gemma":[0.00008101657,0.00008548523,0.00003981123,0.0007048245,0.001611584,0.0002401223,0.00008732905,0.0005196789,0.000008652882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003184678,"about_ca_system_score_gemma":0.00007323784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003560973,"about_ca_topic_score_gemma":0.0004658599,"domain_scores_codex":[0.9974046,0.0007762172,0.0001520245,0.000391807,0.000717294,0.0005580115],"domain_scores_gemma":[0.9987245,0.0007885169,0.00001639808,0.0001189963,0.00008271619,0.0002688995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001663177,0.00005838581,0.8438413,0.0002813814,0.00006257735,0.00003953779,0.00857401,5.160525e-7,0.0002637347,0.1392162,0.002876336,0.004769494],"study_design_scores_gemma":[0.0002806224,0.0001683159,0.8944004,0.000170911,0.00004441835,0.000006589865,0.003920386,0.003039935,0.000004293617,0.07756951,0.02004356,0.0003510457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792556,0.01355426,0.00004323444,0.001244487,0.00013098,0.0003167331,0.00003054169,0.00007643602,0.005347719],"genre_scores_gemma":[0.9844211,0.01397008,0.00006980175,0.00002164005,0.00006930192,0.00003915911,0.00002041614,0.00001121079,0.001377273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06164666,"threshold_uncertainty_score":0.723832,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2122045197","doi":"10.4054/demres.2014.31.31","title":"HealthPaths: Using functional health trajectories to quantify the relative importance of selected health determinants","year":2014,"lang":"en","type":"article","venue":"Demographic Research","topic":"Global Health Care Issues","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"National Integrated Drought Information System; McMaster University","keywords":"Life expectancy; Context (archaeology); Counterfactual thinking; Population health; Population; Demography; Psychology; Econometrics; Geography; Sociology; Economics; Social psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.3015209580387589,"gpt":0.5665353017905714,"spread":0.2650143437518125,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01984241,0.0003053205,0.0009161672,0.0009071612,0.004280987,0.000020175,0.0006134543,0.0002859295,0.00008990791],"category_scores_gemma":[0.003574616,0.0002276218,0.0001337006,0.006356763,0.0005073852,0.0001964819,0.0002549014,0.002444213,0.000111011],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008372826,"about_ca_system_score_gemma":0.006010703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01613521,"about_ca_topic_score_gemma":0.02269506,"domain_scores_codex":[0.9831081,0.009653516,0.00189918,0.0007955495,0.002008555,0.00253511],"domain_scores_gemma":[0.9902106,0.004502349,0.000831027,0.001030534,0.002470114,0.0009553775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004070921,0.0001251067,0.9364011,0.00145297,0.00004107426,0.000002515156,0.01038849,0.0000199349,0.00007511427,0.01739347,0.03071306,0.002980083],"study_design_scores_gemma":[0.0006969974,0.001576051,0.9689946,0.001187812,0.000005879573,0.000008507125,0.004622879,0.0007705768,0.00001740047,0.003963627,0.01794362,0.0002120075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96381,0.00315465,0.002247681,0.02496551,0.001061765,0.004103994,0.0001004028,0.0001405947,0.0004154293],"genre_scores_gemma":[0.9925881,0.0004692315,0.002168308,0.003805915,0.000456666,0.0002343567,0.0000297356,0.0000653167,0.0001823793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03259356,"threshold_uncertainty_score":0.9998572,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2114796993","doi":"10.4054/demres.2011.24.26","title":"Reproductive contributions of Taiwan´s foreign wives from the top five source countries","year":2011,"lang":"en","type":"article","venue":"Demographic Research","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"National Science Council","keywords":"China; Multinomial logistic regression; Census; Geography; Demographic economics; Socioeconomics; Demography; Population; Economics; Sociology; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.1142787440071033,"gpt":0.3784501640195318,"spread":0.2641714200124285,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.005044445,0.0001395823,0.0002561627,0.0003511781,0.00173059,0.0001021122,0.001028432,0.0001675309,0.0007426808],"category_scores_gemma":[0.001276476,0.00009646249,0.0001862042,0.002251275,0.004986951,0.0002546265,0.0001698683,0.0005351159,0.00002365285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002247553,"about_ca_system_score_gemma":0.0003196546,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02904146,"about_ca_topic_score_gemma":0.007385473,"domain_scores_codex":[0.9956677,0.001502126,0.0003249975,0.0005194682,0.001277267,0.0007084383],"domain_scores_gemma":[0.9965574,0.001294047,0.0001356125,0.0006905925,0.001159864,0.000162552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001361357,0.0001391506,0.4997316,0.000006802349,0.0002702896,0.000003606769,0.09971026,6.821929e-7,0.00003501356,0.3829916,0.009337412,0.007637423],"study_design_scores_gemma":[0.0003538774,0.0001507743,0.4786576,0.00004204472,0.0000453621,4.91253e-7,0.1097283,0.000005480688,0.0004237884,0.342519,0.06787931,0.0001940188],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8872235,0.006317351,0.000630576,0.007664576,0.0003007808,0.00101781,0.0004510879,0.0001187392,0.09627561],"genre_scores_gemma":[0.9972559,0.001059861,0.000182889,0.00005441376,0.000275933,0.00007038902,0.00001920686,0.00001045636,0.001070903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1100325,"threshold_uncertainty_score":0.999569,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1498539248","doi":"10.4054/demres.2014.31.25","title":"Exploring the population implications of male preference when the sex probabilities at birth can be altered","year":2014,"lang":"en","type":"article","venue":"Demographic Research","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Preference; Fertility; Demography; Population; Sex ratio; Male fertility; Birth rate; Statistics; Sociology; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.391703349132949,"gpt":0.3847321194369676,"spread":0.006971229695981462,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00540448,0.0001252695,0.0001729537,0.0003341722,0.002412025,0.0001601618,0.001128866,0.00006823632,0.000157353],"category_scores_gemma":[0.0004544434,0.0000734827,0.0001260055,0.00161431,0.001654995,0.0002196914,0.0002296861,0.0003728582,0.000004073344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004202378,"about_ca_system_score_gemma":0.0001061066,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0162808,"about_ca_topic_score_gemma":0.09352087,"domain_scores_codex":[0.9956446,0.001921484,0.0003298326,0.0003735316,0.001118533,0.000612076],"domain_scores_gemma":[0.9972237,0.001426938,0.0001120563,0.0007736576,0.00033419,0.0001294398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001469037,0.00004574671,0.7500575,0.00003547793,0.00004163374,8.574985e-8,0.03482404,0.00001147351,0.00007333563,0.1782844,0.00211521,0.0344964],"study_design_scores_gemma":[0.0001007951,0.00007045642,0.8489532,0.00002127292,0.00001033259,0.000001125935,0.00877196,0.00003732773,0.00004534733,0.1070118,0.03486798,0.0001083456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586976,0.0001529993,0.00003695056,0.02235827,0.0001296613,0.0006336728,0.00002989471,0.00005328609,0.01790768],"genre_scores_gemma":[0.9958404,0.0006385113,0.00007484437,0.0000657435,0.0001712362,0.0004701429,0.00001513388,0.00001140203,0.002712613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09889574,"threshold_uncertainty_score":0.9988867,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385651509","doi":"10.4054/demres.2023.49.8","title":"Women’s employment trajectories in a low-income setting: Stratification and change in Nepal","year":2023,"lang":"en","type":"article","venue":"Demographic Research","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Stratification (seeds); Low income; Demographic economics; Economics; Socioeconomics; Geography; Development economics; Labour economics","retraction":null,"screen_n_in":null,"score":{"opus":0.09605083574743309,"gpt":0.3880252540241872,"spread":0.2919744182767542,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005516653,0.00008987146,0.0001414317,0.001232814,0.0003341433,0.0001392631,0.0002404165,0.0001361037,0.00001649424],"category_scores_gemma":[0.0002300246,0.00009296757,0.00002436257,0.004801594,0.0003957244,0.0001945552,0.00006606111,0.0003727472,0.00001070429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001874342,"about_ca_system_score_gemma":0.0001724981,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01002101,"about_ca_topic_score_gemma":0.06488193,"domain_scores_codex":[0.9971858,0.0006418637,0.0002290319,0.0003343975,0.0007765354,0.0008323395],"domain_scores_gemma":[0.9992213,0.0003157591,0.00002729746,0.0001778294,0.0001034741,0.000154328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000111277,0.00004222925,0.8753562,0.00003132709,0.000003966939,0.00001606637,0.1138442,0.00000270034,0.00006536647,0.007597709,0.00002444436,0.003004599],"study_design_scores_gemma":[0.000231851,0.00004825813,0.9318188,0.00003589852,5.824821e-7,1.687429e-7,0.05923198,0.0006028768,0.000001788621,0.007604808,0.0003319519,0.0000910497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967422,0.0001673443,0.000002577635,0.001646789,0.0001198255,0.0005766444,0.000009091979,0.00006284619,0.0006726814],"genre_scores_gemma":[0.9974532,0.001709796,0.00002812502,0.00003169124,0.0001041503,0.0004595314,0.00001212527,0.00001143825,0.0001899526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05646256,"threshold_uncertainty_score":0.9965714,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4362672270","doi":"10.4054/demres.2023.48.18","title":"Differences in occupational homogamy by race, ethnicity, and national origin: A social mobility strategy for Asian Americans","year":2023,"lang":"en","type":"article","venue":"Demographic Research","topic":"Work-Family Balance Challenges","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; Western University","funders":"","keywords":"Ethnic group; Race (biology); Demographic economics; Demography; Sociology; Gerontology; Geography; Gender studies; Economics; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.2367242151934728,"gpt":0.4734125733727717,"spread":0.2366883581792988,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005480931,0.0001172718,0.0002285664,0.0006290958,0.0009352121,0.0001461221,0.0003910835,0.0001848355,0.00006382394],"category_scores_gemma":[0.0007395592,0.0001169955,0.00007037759,0.003335316,0.001847684,0.000192744,0.00008953797,0.0004585925,0.00001006401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001253679,"about_ca_system_score_gemma":0.0006232247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002155031,"about_ca_topic_score_gemma":0.01318096,"domain_scores_codex":[0.996156,0.0008239552,0.0002336636,0.0004729968,0.001574063,0.0007392686],"domain_scores_gemma":[0.9976702,0.001608272,0.00004229436,0.00009866818,0.00044217,0.0001384359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000759609,0.0001577237,0.949156,0.00003599459,0.00002691746,0.000001877909,0.005689844,0.00000192496,0.00007885969,0.01473518,0.02451042,0.005529345],"study_design_scores_gemma":[0.0003478665,0.00007223359,0.9517798,0.00001270401,0.000001833557,1.614396e-7,0.01353407,0.00009163849,0.000002307384,0.02826823,0.005761558,0.0001276042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871324,0.0002730712,0.00003570245,0.004987291,0.00007035598,0.0007103898,0.0001814057,0.00009280063,0.006516552],"genre_scores_gemma":[0.9973875,0.001238932,0.00006266262,0.00002803052,0.0002298062,0.0004482014,0.00005539251,0.0000115841,0.000537889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01874886,"threshold_uncertainty_score":0.7355285,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389719704","doi":"10.4054/demres.2023.49.42","title":"Bayesian implementation of Rogers–Castro model migration schedules: An alternative technique for parameter estimation","year":2023,"lang":"en","type":"article","venue":"Demographic Research","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Bayesian probability; Estimation; Econometrics; Bayes estimator; Estimation theory; Bayesian inference; Statistics; Economics; Computer science; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.1259160796126696,"gpt":0.483613890862875,"spread":0.3576978112502054,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007644071,0.0001501377,0.000211302,0.001801365,0.0007556924,0.0001500224,0.0004886084,0.0001375651,0.00002498448],"category_scores_gemma":[0.0002763534,0.000158835,0.0001817782,0.003050154,0.0005817164,0.0006783647,0.00006887993,0.0002332723,0.000006701369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009452534,"about_ca_system_score_gemma":0.0001787629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004294476,"about_ca_topic_score_gemma":0.006645182,"domain_scores_codex":[0.9961308,0.0007800222,0.0004692383,0.000480462,0.001429515,0.00070997],"domain_scores_gemma":[0.9982017,0.0003668154,0.0001829118,0.0003962046,0.0007056555,0.0001467285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002306437,0.0004658224,0.4409157,0.0004173112,0.000365919,0.000009098262,0.02425794,0.01354219,0.004772596,0.3603,0.002671994,0.1520507],"study_design_scores_gemma":[0.001068547,0.0006599526,0.07152116,0.00009067191,0.00006448803,4.238973e-7,0.0275097,0.5019391,0.01209561,0.38373,0.0008423561,0.0004780376],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6514076,0.00002738939,0.3435715,0.0007938421,0.0001001826,0.003456257,0.00008875163,0.0001484771,0.0004060114],"genre_scores_gemma":[0.971503,0.0003346968,0.02652804,0.00002371616,0.00008358003,0.001259095,0.0001954241,0.00002783232,0.00004467252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4883969,"threshold_uncertainty_score":0.6491991,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2991977453","doi":"","title":"Income pooling strategies among cohabiting and married couples","year":2014,"lang":"en","type":"article","venue":"Demographic Research","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Cohabitation; Demographic economics; Context (archaeology); Pooling; Marriage market; Marital status; Economics; Demography; Political science; Geography; Sociology; Population","retraction":null,"screen_n_in":null,"score":{"opus":0.05346594148264389,"gpt":0.3815951559083048,"spread":0.3281292144256609,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006513383,0.00007414666,0.0001177121,0.0004151325,0.001958223,0.0004685675,0.0002276366,0.0001484036,0.00001746042],"category_scores_gemma":[0.0007477684,0.00006777987,0.00004103448,0.001032831,0.001572026,0.000241533,0.00008711378,0.0005076693,0.000006807594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002211878,"about_ca_system_score_gemma":0.0001188852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003589277,"about_ca_topic_score_gemma":0.006933949,"domain_scores_codex":[0.9976982,0.000724517,0.000169849,0.0002303647,0.0006845104,0.0004925781],"domain_scores_gemma":[0.9981182,0.001286893,0.00004015038,0.0001490298,0.0002225708,0.0001831732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003763491,0.000007165908,0.6488402,0.00001593469,0.000009211347,0.000001723273,0.001611981,0.00003331213,0.00004584884,0.3475622,0.0000290432,0.001839648],"study_design_scores_gemma":[0.0001760444,0.00004275712,0.8833136,0.00006879474,0.000003983904,6.001884e-7,0.01840925,0.01246506,0.000001283753,0.08198458,0.003397448,0.0001366189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959646,0.0003877351,0.000309666,0.0005537635,0.00007932436,0.0001902279,0.000001577248,0.00005920404,0.03877245],"genre_scores_gemma":[0.9985508,0.0007422601,0.0002667592,0.00001199124,0.0001437478,0.00001573654,0.000003499917,0.00001133424,0.0002538788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2655776,"threshold_uncertainty_score":0.9993411,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406203788","doi":"10.4054/demres.2025.52.3","title":"Jointly estimating subnational mortality for multiple populations","year":2025,"lang":"en","type":"article","venue":"Demographic Research","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"National Institute on Aging","keywords":"Geography; Demography; Sociology","retraction":null,"screen_n_in":null,"score":{"opus":0.2751081046690669,"gpt":0.5254014937431906,"spread":0.2502933890741237,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.009142821,0.0001511404,0.0002283726,0.001436298,0.003147801,0.0003166817,0.0006518399,0.0001573621,0.00007258618],"category_scores_gemma":[0.003074001,0.0001631496,0.0002783291,0.003785206,0.0009745767,0.000304183,0.0001466676,0.0003968799,0.00001604222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001299136,"about_ca_system_score_gemma":0.0003183919,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006241457,"about_ca_topic_score_gemma":0.01933788,"domain_scores_codex":[0.995738,0.0007678975,0.000493204,0.0005464826,0.001564488,0.0008899184],"domain_scores_gemma":[0.9970086,0.001112219,0.00009599976,0.0004840904,0.001147054,0.0001520378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001138863,0.0001011983,0.6147293,0.00005575468,0.00006784041,0.000001463938,0.0003957111,0.0001372214,0.00001250676,0.3739164,0.00676133,0.003809852],"study_design_scores_gemma":[0.0004186277,0.0000219467,0.7881414,0.00004594323,0.00002733874,9.947709e-8,0.001055687,0.009730089,0.000008931008,0.1701423,0.03024872,0.0001589204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8590969,0.0005241546,0.04362145,0.008151188,0.002276233,0.004643182,0.0001354329,0.0004087865,0.08114268],"genre_scores_gemma":[0.9827846,0.00006464476,0.01469532,0.000147091,0.0003047828,0.0006417356,0.00007360509,0.00001670967,0.00127155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.203774,"threshold_uncertainty_score":0.9985567,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406160330","doi":"10.4054/demres.2025.52.2","title":"Studying individuals in same-sex couples using longitudinal administrative data from Canadian tax records: Opportunities and challenges","year":2025,"lang":"en","type":"article","venue":"Demographic Research","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Longitudinal data; Demographic economics; Psychology; Political science; Demography; Business; Economics; Sociology","retraction":null,"screen_n_in":null,"score":{"opus":0.7236605213325243,"gpt":0.5362645050886768,"spread":0.1873960162438475,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003781473,0.0001970619,0.000364762,0.002553585,0.0006153076,0.0002162241,0.0008622484,0.0002566258,0.0003117783],"category_scores_gemma":[0.0003750917,0.0002088849,0.00003289001,0.001031376,0.0006371661,0.0002523853,0.0003893898,0.0008527949,0.00001572263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001127319,"about_ca_system_score_gemma":0.00143174,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8141505,"about_ca_topic_score_gemma":0.9128675,"domain_scores_codex":[0.9961233,0.001223049,0.0004388845,0.0008006971,0.0004528288,0.0009613066],"domain_scores_gemma":[0.9971204,0.001268066,0.00007368755,0.0009867658,0.0001574006,0.0003936476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003265214,0.0001032713,0.9656273,0.0002245861,0.0001897329,0.0002042054,0.002763511,2.132177e-7,0.000002615132,0.006621231,0.007894886,0.01633581],"study_design_scores_gemma":[0.0005503093,0.0001107492,0.9499309,0.0001266724,0.00003738008,0.000009070463,0.022312,0.00008470164,6.42481e-7,0.006007105,0.02064048,0.0001899988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9303611,0.03214211,0.000004080583,0.01366401,0.000336156,0.0005847883,0.0009183594,0.00002299273,0.02196638],"genre_scores_gemma":[0.9520735,0.04514905,0.0001309533,0.0001919208,0.0002317086,0.00006174022,0.0001642703,0.00002393768,0.001972907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.098717,"threshold_uncertainty_score":0.8518079,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1549339412","doi":"10.4054/demres.2000.2.2","title":"Mortality statistics for the oldest-old","year":2000,"lang":"en","type":"article","venue":"Demographic Research","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Census; Demography; Mortality rate; Data quality; Geography; Statistics; Population; Economics; Economy; Mathematics; Sociology","retraction":null,"screen_n_in":null,"score":{"opus":0.141334792977701,"gpt":0.4569539540480254,"spread":0.3156191610703244,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01235385,0.0001861742,0.0002349695,0.0003947824,0.003218407,0.0004287735,0.001325492,0.0001554201,0.00128707],"category_scores_gemma":[0.0005018986,0.0001463534,0.0002437825,0.002931519,0.002524454,0.0002052702,0.00008524842,0.0005762664,0.0001433049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000656652,"about_ca_system_score_gemma":0.0001720798,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01161486,"about_ca_topic_score_gemma":0.01477406,"domain_scores_codex":[0.9942394,0.001106211,0.0004151186,0.0005575915,0.002340883,0.001340818],"domain_scores_gemma":[0.9962569,0.001898021,0.00006731278,0.000922502,0.0006074961,0.0002477298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007119192,0.0002405729,0.3769234,0.00007562814,0.0002822894,0.00002068898,0.002951185,0.00004687445,0.000005847405,0.4175413,0.07845491,0.1233862],"study_design_scores_gemma":[0.0003145573,0.00007197992,0.462637,0.00001361667,0.00004668782,3.512983e-7,0.001535988,0.0003881229,0.000004116941,0.05015104,0.4846416,0.0001950128],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8522571,0.002319748,0.003474579,0.007865361,0.001127971,0.007340945,0.0005355952,0.0004024865,0.1246762],"genre_scores_gemma":[0.9809762,0.007294325,0.001019381,0.0003706161,0.0005652673,0.0006466481,0.00002644585,0.00003636869,0.009064811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4061866,"threshold_uncertainty_score":0.9996259,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2969488235","doi":"10.4054/demres.2019.41.19","title":"Economic rationales for kin marriage: Assessing the evidence using Egyptian panel data","year":2019,"lang":"en","type":"article","venue":"Demographic Research","topic":"Socioeconomic Development in MENA","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Panel data; Middle East; Next of kin; Demographic economics; Economics; Sociology; Development economics; Genealogy; Geography; Political science; History; Econometrics; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.5543508330649054,"gpt":0.5486261848864795,"spread":0.005724648178425884,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01999908,0.0001109969,0.0001695902,0.0002721386,0.001774436,0.0008677657,0.002129441,0.0001224031,0.0005676956],"category_scores_gemma":[0.001447124,0.00009481735,0.000071102,0.0004301802,0.0007706449,0.00132178,0.000429085,0.000351551,0.0002635932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003300503,"about_ca_system_score_gemma":0.001654403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001493008,"about_ca_topic_score_gemma":0.001277574,"domain_scores_codex":[0.9967183,0.001072401,0.0003196929,0.0005883632,0.00061433,0.0006868598],"domain_scores_gemma":[0.9928208,0.005894086,0.0001141057,0.0008905837,0.0001680952,0.0001123534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005153057,0.00006232457,0.8624195,0.0001310563,0.000232797,0.000003928541,0.01199946,0.0002820712,0.001850911,0.06889804,0.03575458,0.01831374],"study_design_scores_gemma":[0.001390309,0.00009481738,0.2772565,0.0006533277,0.00007027441,0.000007580451,0.08178701,0.04606785,0.0001901012,0.07010631,0.5211895,0.001186345],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829052,0.0006159647,0.0004580674,0.008788703,0.0008936009,0.001548989,0.00002774428,0.00004415391,0.004717543],"genre_scores_gemma":[0.9923462,0.0005404106,0.004740858,0.0001757063,0.0006032427,0.00008549295,0.00003808332,0.00002536162,0.001444607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.585163,"threshold_uncertainty_score":0.9995251,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408093027","doi":"10.4054/demres.2025.52.12","title":"Gender differences in routine housework among one-person households: A cross-national analysis","year":2025,"lang":"en","type":"article","venue":"Demographic Research","topic":"Work-Family Balance Challenges","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Demographic economics; Gender analysis; Psychology; Demography; Sociology; Economics; Economic growth","retraction":null,"screen_n_in":null,"score":{"opus":0.1827731349174435,"gpt":0.4231052856455927,"spread":0.2403321507281491,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007576097,0.0001740937,0.0004099104,0.002710116,0.000906039,0.0004616262,0.0009874406,0.0003501382,0.0001901212],"category_scores_gemma":[0.001131039,0.0001726592,0.0002395099,0.01495673,0.001892913,0.0003079538,0.0001312257,0.0009517967,0.00001628042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002805959,"about_ca_system_score_gemma":0.0005178058,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006141962,"about_ca_topic_score_gemma":0.04199206,"domain_scores_codex":[0.9940305,0.001393272,0.0003532819,0.0006979637,0.002474487,0.001050486],"domain_scores_gemma":[0.9974095,0.001371506,0.00007332212,0.0003778953,0.0005917323,0.0001761061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002595081,0.0001591733,0.9833318,0.00001784278,0.0002956644,0.000005179,0.005082219,0.00005218947,0.000006267082,0.009990722,0.0007007832,0.0003321962],"study_design_scores_gemma":[0.0003174373,0.0000166709,0.9835763,0.00006167291,0.00003190303,5.066645e-8,0.007146541,0.0001210488,0.000003266612,0.008213227,0.0003517974,0.0001600979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9367494,0.00145024,0.0001017945,0.00121497,0.0001161195,0.0003950764,0.00001058683,0.0001440559,0.05981777],"genre_scores_gemma":[0.9955498,0.001795323,0.0001249595,0.00006508306,0.0001795996,0.0001517034,0.000009056051,0.00001557024,0.002108891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05880043,"threshold_uncertainty_score":0.9754891,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391740556","doi":"10.4054/demres.2024.50.10","title":"Measuring short-term mobility patterns in North America using Facebook advertising data, with an application to adjusting COVID-19 mortality rates","year":2024,"lang":"en","type":"article","venue":"Demographic Research","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Term (time); Advertising; Pandemic; 2019-20 coronavirus outbreak; Demography; Geography; Econometrics; Economics; Sociology; Business; Medicine; Virology; Outbreak; Infectious disease (medical specialty)","retraction":null,"screen_n_in":null,"score":{"opus":0.2526845864968298,"gpt":0.4735793116925403,"spread":0.2208947251957105,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008865121,0.0001602079,0.0002491417,0.0008999606,0.001216114,0.0004706008,0.000891569,0.0000895749,0.0001043411],"category_scores_gemma":[0.0007841958,0.0001542003,0.0000609933,0.004664108,0.0006256739,0.0006551882,0.0001882725,0.0005668799,0.00001306731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004941436,"about_ca_system_score_gemma":0.001082675,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1233819,"about_ca_topic_score_gemma":0.6215956,"domain_scores_codex":[0.9946519,0.001747733,0.000424777,0.001120602,0.001365234,0.0006897682],"domain_scores_gemma":[0.9973088,0.000745455,0.00004027884,0.001074426,0.0002832216,0.0005478335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002604866,0.0001113012,0.9396433,0.0002172183,0.00004259989,0.00002009282,0.008799877,0.007064879,0.0002274084,0.00005820311,0.000006317931,0.04378279],"study_design_scores_gemma":[0.0001571829,0.0001068712,0.7551053,0.0002275883,0.00008136606,0.00000123572,0.02054286,0.2206585,0.00004627346,0.0003722828,0.002225565,0.0004749837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9359046,0.0001539777,0.06194103,0.0003637685,0.00002144272,0.001300216,0.00006012849,0.0001279155,0.0001269843],"genre_scores_gemma":[0.9989649,0.00007398094,0.0002739283,0.00008290887,0.0001296444,0.000241755,0.0002000183,0.00001995146,0.00001292145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4982136,"threshold_uncertainty_score":0.9353492,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407307458","doi":"10.4054/demres.2025.52.9","title":"The constellations of child fostering in Kenya: Considering location and distance","year":2025,"lang":"en","type":"article","venue":"Demographic Research","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Comic Relief; Wellcome Trust; McGill University; Styrelsen för Internationellt Utvecklingssamarbete; Bill and Melinda Gates Foundation","keywords":"Constellation; Geography; Political science; Sociology; Economic growth; Socioeconomics; Regional science; Economic geography; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.04507759706422181,"gpt":0.3706057069693223,"spread":0.3255281099051004,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001785179,0.00003891954,0.0000689218,0.0002420989,0.001268954,0.0000812912,0.0001578177,0.00004297024,0.000005860232],"category_scores_gemma":[0.0004707183,0.00003331297,0.00001769433,0.001550591,0.0009148506,0.0000918537,0.00004689995,0.000170121,5.303355e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003142523,"about_ca_system_score_gemma":0.0002610905,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001357618,"about_ca_topic_score_gemma":0.02350806,"domain_scores_codex":[0.9989305,0.0002954683,0.0001632617,0.0001312466,0.0002576273,0.0002218541],"domain_scores_gemma":[0.9987731,0.0008115025,0.00002926634,0.0001531353,0.0001954284,0.0000375795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001037313,0.00002672008,0.5011445,0.00004100566,0.00001229671,3.132263e-7,0.005237681,0.000009373421,0.00001477474,0.4749755,0.0004580392,0.01806934],"study_design_scores_gemma":[0.0002858123,0.00001292722,0.7655174,0.0003554662,0.000004957451,6.990234e-7,0.02354531,0.0001718609,0.00007482248,0.05960267,0.1503377,0.00009037974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6671927,0.0208408,0.0004828199,0.03973058,0.0003141705,0.000764491,0.000004984649,0.00003032611,0.2706391],"genre_scores_gemma":[0.9927272,0.006913977,0.00001911331,0.00003526366,0.00002513447,0.00001305693,0.000001163667,0.000002442184,0.0002626543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4153729,"threshold_uncertainty_score":0.9943104,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409874891","doi":"10.4054/demres.2025.52.26","title":"Amish fertility in the United States: Comparative evidence from the American Community Survey and Amish population registries","year":2025,"lang":"en","type":"article","venue":"Demographic Research","topic":"Agriculture and Farm Safety","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; National Institute on Aging","keywords":"Fertility; Demography; American Community Survey; Population; Geography; Current Population Survey; Gerontology; Medicine; Sociology; Census","retraction":null,"screen_n_in":null,"score":{"opus":0.2126960038191714,"gpt":0.3946125661909448,"spread":0.1819165623717733,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00565811,0.0001139765,0.0001992671,0.00003892259,0.001168498,0.000213639,0.0007676024,0.00005477829,0.000006856988],"category_scores_gemma":[0.0004437742,0.00003139654,0.00004366299,0.004927998,0.0009454474,0.0001096378,0.0001904298,0.000941679,0.000001405325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002371186,"about_ca_system_score_gemma":0.00001000521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3805657,"about_ca_topic_score_gemma":0.3309864,"domain_scores_codex":[0.991089,0.007742767,0.0002280182,0.0002365002,0.0004182531,0.0002855042],"domain_scores_gemma":[0.9864835,0.01293889,0.00007374294,0.000194985,0.0002657429,0.00004311232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001739346,0.00006261488,0.9922771,0.000002966197,0.000014131,7.44779e-7,0.001281139,0.000003504056,0.0002279066,0.00008621455,0.002013332,0.003856373],"study_design_scores_gemma":[0.00005667729,0.000105975,0.9815599,0.0000436584,0.000004054892,2.52642e-7,0.01405913,0.0001079958,0.000006871847,0.002569243,0.001419903,0.00006629776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934164,0.0005100708,0.000003608159,0.005431464,0.00001546643,0.000400533,0.00009983361,0.00001950188,0.0001031155],"genre_scores_gemma":[0.9977986,0.0009007017,0.000004878836,0.0005329687,0.0000207271,0.00003098643,0.0006815927,3.688504e-7,0.00002922683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04957925,"threshold_uncertainty_score":0.8987257,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405431933","doi":"10.4054/demres.2024.51.45","title":"Improving old-age mortality estimation with parental survival histories in surveys","year":2024,"lang":"en","type":"article","venue":"Demographic Research","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"National Institute of Child Health and Human Development; National Institutes of Health; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Bill and Melinda Gates Foundation","keywords":"Demography; Estimation; Sociology; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.1236216454787741,"gpt":0.4514460483695215,"spread":0.3278244028907474,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01470365,0.00009490192,0.0001761216,0.0004640212,0.0006141307,0.0003570252,0.0002432617,0.0001082363,0.00008252059],"category_scores_gemma":[0.0006255095,0.00008041886,0.00005263281,0.002102586,0.000663028,0.000363391,0.00005408019,0.0005313465,0.00001166365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003080028,"about_ca_system_score_gemma":0.0006463237,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.239327,"about_ca_topic_score_gemma":0.3204037,"domain_scores_codex":[0.9955108,0.001889963,0.0002434624,0.0003339332,0.001239842,0.0007820335],"domain_scores_gemma":[0.9985091,0.0009576987,0.00002150235,0.0001920654,0.0001169927,0.0002026326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009186933,0.0000320734,0.9348181,0.0002959879,0.00001243359,0.0001355494,0.005281163,0.000006214752,0.000003194064,0.04527288,0.0003164135,0.01381674],"study_design_scores_gemma":[0.0001290859,0.00004151382,0.9850929,0.0001042259,0.000003962339,6.227285e-7,0.004735518,0.001128507,0.000002874894,0.002369207,0.006265707,0.0001259157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873544,0.0009419054,0.0004811604,0.003126691,0.0006628232,0.0004685081,0.00001623568,0.0001354912,0.00681276],"genre_scores_gemma":[0.9984697,0.0002092918,0.000158446,0.00004288511,0.0001389219,0.00006007484,0.00001830112,0.00001449707,0.0008879107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08107668,"threshold_uncertainty_score":0.7657384,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}