{"id":"W4409722163","doi":"10.1177/18747655251335763","title":"Charting the future of censuses: Insights, lessons and recommendations for the 2030 round","year":2025,"lang":"en","type":"article","venue":"Statistical Journal of the IAOS","topic":"Census and Population Estimation","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Regional science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04080177,0.00162096,0.00146625,0.004854551,0.003601005,0.01509372,0.00367299,0.004541929,0.00869354],"category_scores_gemma":[0.09122788,0.0008719346,0.001321175,0.007915881,0.007033085,0.0277234,0.005581442,0.01121201,0.003805663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01157534,"about_ca_system_score_gemma":0.04575699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0745539,"about_ca_topic_score_gemma":0.1065032,"domain_scores_codex":[0.9806961,0.01250488,0.001722823,0.000978285,0.00296744,0.001130361],"domain_scores_gemma":[0.9351414,0.02377111,0.002367627,0.003849311,0.02828857,0.006581951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009465164,0.0001302461,0.009013655,0.001902861,0.00005728841,0.0002381104,0.004571688,0.003053983,0.0002466368,0.257757,0.4062358,0.3166982],"study_design_scores_gemma":[0.00003159857,0.00007991234,0.007046882,0.008208356,0.00005268366,0.0002023338,0.01786388,0.003060044,0.0002603116,0.1275286,0.8355182,0.0001472355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.003093288,0.08724163,0.02655896,0.8537464,0.009786158,0.0003258103,0.001746541,0.0007292453,0.01677194],"genre_scores_gemma":[0.1234731,0.4264518,0.3452505,0.06421603,0.01016967,0.002452866,0.005653254,0.0009045542,0.02142828],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0745539,"threshold_uncertainty_score":0.215783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07021821754603258,"score_gpt":0.4008968550064579,"score_spread":0.3306786374604253,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}