{"id":"W7095521271","doi":"","title":"STATISTICAL OFFICE OF THE EUROPEAN COMMUNITIES (EUROSTAT)","year":2008,"lang":"en","type":"article","venue":"","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microdata (statistics); Confidentiality; Official statistics; Publication; Quarter (Canadian coin); Economic statistics; Statistical analysis; Work (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001514971,0.00003986078,0.00006190572,0.00001190655,0.000105522,0.000003124495,0.0000862243,0.000008927814,0.0002207402],"category_scores_gemma":[0.0001263155,0.00002523426,0.00002088825,0.00004691563,0.00008406302,0.00002493416,0.00003829325,0.00005279293,0.00001870721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005061533,"about_ca_system_score_gemma":0.000009634245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009597065,"about_ca_topic_score_gemma":0.00005617272,"domain_scores_codex":[0.9994622,0.0001838165,0.0001622516,0.00002696971,0.0001126734,0.00005204864],"domain_scores_gemma":[0.9993634,0.0003170168,0.00005978307,0.0001981557,0.00004775256,0.0000138744],"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":[0.0000118266,0.0001394117,0.04927889,0.00006410699,0.00001124403,0.000002755714,0.003480668,0.00009069371,0.0001068444,0.9153931,0.03004844,0.001372088],"study_design_scores_gemma":[0.000274273,0.00002503962,0.9736612,0.00002231144,0.00001607768,0.00003492088,0.0002693993,0.001869114,0.0002691793,0.01982484,0.003640244,0.00009335795],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.84044,0.000004057374,0.02242634,0.0001400109,0.0000671552,0.00008907489,0.00002407323,0.0000418334,0.1367674],"genre_scores_gemma":[0.9903318,0.000002737715,0.008451381,0.00006567738,0.00001362389,4.048278e-7,0.000008870791,0.000007854921,0.001117686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9243823,"threshold_uncertainty_score":0.2416951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1109647806372225,"score_gpt":0.3186986584739737,"score_spread":0.2077338778367512,"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."}}