{"id":"W4410100183","doi":"10.1177/18747655251335765","title":"Characterizing “data” for official statistics","year":2025,"lang":"en","type":"article","venue":"Statistical Journal of the IAOS","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Official statistics; Statistics; Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05346132,0.001044205,0.001435356,0.01067312,0.004702977,0.02125982,0.002538317,0.00307086,0.007133171],"category_scores_gemma":[0.2039392,0.00090433,0.001242353,0.02011424,0.01602439,0.02733191,0.01027743,0.009130355,0.003574357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005790562,"about_ca_system_score_gemma":0.01259873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004696743,"about_ca_topic_score_gemma":0.00327664,"domain_scores_codex":[0.9273915,0.04445426,0.008826836,0.005687471,0.01197808,0.001661848],"domain_scores_gemma":[0.796599,0.1016561,0.01751843,0.05705481,0.02366625,0.00350546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002258717,0.00001430673,0.001924759,0.000153105,0.00001528808,0.00004571541,0.001640315,0.0006052823,0.0001616086,0.9613268,0.009591453,0.02449873],"study_design_scores_gemma":[0.00001044145,0.00002778531,0.001191037,0.0005478022,0.00002496229,0.0001332456,0.002072928,0.002674126,0.000683816,0.655306,0.3372835,0.00004428907],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01711191,0.006904685,0.8180795,0.06393482,0.006422624,0.000599972,0.006867129,0.001319549,0.07875975],"genre_scores_gemma":[0.3438743,0.009562288,0.5961739,0.01495717,0.007378126,0.002584262,0.01085956,0.00133041,0.01328001],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05346132,"threshold_uncertainty_score":0.2827339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08462147311187297,"score_gpt":0.4021757269854942,"score_spread":0.3175542538736212,"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."}}