{"meta":{"query_hash":"d4abd20f8a07","filters":{"venue":"Spatial Demography"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/d4abd20f8a07","api":"https://metacan.xera.ac/api/v1/cohort?venue=Spatial+Demography"},"results":[{"id":"W3168549579","doi":"10.1007/s40980-021-00087-6","title":"Constructing Race and Ethnicity: “It Has to Do with Where You Are”","year":2021,"lang":"en","type":"article","venue":"Spatial Demography","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Race (biology); Gender studies; Ethnic group; Ethnography; Context (archaeology); Sociology; Racism; Xenophobia; Anthropology; Geography","score_opus":0.026633715844486785,"score_gpt":0.2773425337473505,"score_spread":0.25070881790286376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168549579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90383893,0.0015777344,0.004595023,0.022144755,0.00018387,0.000039831593,0.000101361824,0.00003472861,0.06748368],"genre_scores_gemma":[0.9963659,0.00033428287,0.00041190966,0.00046332172,0.000011916665,0.0000088213565,0.000008311044,0.00000702547,0.0023884573],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99829584,0.0012500891,0.000017075829,0.000076872486,0.00012377561,0.00023637399],"domain_scores_gemma":[0.99912494,0.00024535292,0.00010857069,0.000048966987,0.0002174648,0.00025461018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023101147,0.00020030202,0.00018325612,0.0005248449,0.010892531,0.0032719169,0.0005859053,0.000488547,0.002901702],"category_scores_gemma":[0.0024536792,0.00013339304,0.000112076355,0.00062276627,0.016349811,0.0015505494,0.0022038764,0.00086980575,0.00015250243],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033047476,0.000016159778,0.036387607,0.00005766699,0.000017724333,0.00033639793,0.90054876,0.00009430246,0.0012257912,0.032704994,0.004956696,0.023620863],"study_design_scores_gemma":[0.0000019573886,0.000016167458,0.01732984,0.000112372836,0.000011888846,0.000099256,0.930091,0.00007720525,0.00022862597,0.002200321,0.049810287,0.000021102916],"about_ca_topic_score_codex":0.5518718,"about_ca_topic_score_gemma":0.68126,"teacher_disagreement_score":0.5518718,"about_ca_system_score_codex":0.0067523923,"about_ca_system_score_gemma":0.0073378477,"threshold_uncertainty_score":0.9015347},"labels":[],"label_agreement":null},{"id":"W3207219592","doi":"10.1007/s40980-021-00100-y","title":"Physical Spacing and Social Interaction Before the Global Pandemic","year":2021,"lang":"en","type":"article","venue":"Spatial Demography","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University College Dublin","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Medicine; Infectious disease (medical specialty)","score_opus":0.11485375668707293,"score_gpt":0.4091407832061439,"score_spread":0.29428702651907096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207219592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86611277,0.00469078,0.001023308,0.016469032,0.00047398786,0.000024180144,0.00033274567,0.00002056978,0.110852525],"genre_scores_gemma":[0.99747616,0.0007901822,0.00015050109,0.00033226787,0.000060241407,0.0000089719515,0.00004223297,0.000005490603,0.0011338826],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99868816,0.00072901556,0.00004446345,0.0001503713,0.00012428564,0.00026380466],"domain_scores_gemma":[0.9984079,0.00038494245,0.00047096022,0.00013068854,0.00018015112,0.00042529276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009609762,0.00018208774,0.00016864053,0.0006391978,0.0023860172,0.0028322453,0.0003997392,0.0006783233,0.0035958604],"category_scores_gemma":[0.0028684023,0.00010889982,0.00018187882,0.00072124135,0.004622347,0.0027637044,0.003353423,0.0014763162,0.0003864817],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005880649,0.00025209217,0.24440494,0.00044243954,0.00006623053,0.001568087,0.40774202,0.0012922434,0.0011250651,0.19182706,0.016657751,0.13403402],"study_design_scores_gemma":[0.000018435536,0.00034341478,0.4263338,0.0006238438,0.00002697179,0.00085101253,0.44862178,0.00055737945,0.00027422557,0.029371079,0.092920326,0.00005775973],"about_ca_topic_score_codex":0.012029568,"about_ca_topic_score_gemma":0.016967174,"teacher_disagreement_score":0.012029568,"about_ca_system_score_codex":0.0021063276,"about_ca_system_score_gemma":0.0011046781,"threshold_uncertainty_score":0.023919106},"labels":[],"label_agreement":null},{"id":"W4412896212","doi":"10.1007/s40980-025-00140-8","title":"Here, There and Everywhere: Residential Relocation Following a Natural Disaster","year":2025,"lang":"en","type":"article","venue":"Spatial Demography","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Relocation; Natural (archaeology); Natural disaster; Environmental planning; Business; Geography; Computer science; Archaeology; Meteorology","score_opus":0.004942081778414095,"score_gpt":0.27085479234928517,"score_spread":0.26591271057087107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412896212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99560153,0.00012349077,0.00011714761,0.0011511092,0.000011670352,0.000014270466,0.00028423127,0.0000042588204,0.0026923288],"genre_scores_gemma":[0.9989962,0.000118184165,0.000077010096,0.00003592375,0.000005407999,0.00001056797,0.00015970442,0.0000016693934,0.00059527636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960345,0.00017607308,0.00002392367,0.00003868466,0.000027733133,0.00013006745],"domain_scores_gemma":[0.9990307,0.00020343326,0.00033029076,0.00006768719,0.00012861406,0.00023931466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044474122,0.00012094118,0.00014751023,0.0011231429,0.0016004186,0.0012407291,0.0007425666,0.0007476061,0.0047366363],"category_scores_gemma":[0.0032177672,0.00017309464,0.00025629316,0.0022188711,0.0010187028,0.0017833335,0.0017789206,0.0006058805,0.0005076956],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029621387,0.00044256914,0.87745166,0.00009321815,0.00006156298,0.0027135185,0.07947022,0.0016855376,0.00038818605,0.0045117782,0.005872376,0.027013147],"study_design_scores_gemma":[0.0000056188196,0.00011256721,0.64491063,0.000052315023,0.000019707599,0.00085715344,0.34780383,0.00077659154,0.00007719172,0.0015632174,0.003796237,0.00002500929],"about_ca_topic_score_codex":0.07373692,"about_ca_topic_score_gemma":0.17255345,"teacher_disagreement_score":0.07373692,"about_ca_system_score_codex":0.0012307743,"about_ca_system_score_gemma":0.0011899377,"threshold_uncertainty_score":0.14661545},"labels":[],"label_agreement":null}]}