{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008991928,0.001394485,0.002372721,0.005562563,0.0003136449,0.002507657,0.00178184,0.001223633,0.04214507],"category_scores_gemma":[0.02901444,0.0005499481,0.0008003352,0.01061481,0.0006158177,0.001862292,0.001936099,0.002235719,0.02236445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009877166,"about_ca_system_score_gemma":0.004138136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007354657,"about_ca_topic_score_gemma":0.002112495,"domain_scores_codex":[0.9925709,0.002828608,0.001042247,0.001071823,0.002003168,0.0004832375],"domain_scores_gemma":[0.9863694,0.004161984,0.002187401,0.00221132,0.004562406,0.0005074409],"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":[0.0005975619,0.00009384249,0.009062525,0.001428041,0.0003264553,0.0001282612,0.000127338,0.00171922,0.0003180602,0.03039509,0.8466894,0.1091143],"study_design_scores_gemma":[0.0003060375,0.0001014673,0.0336629,0.001075826,0.0001725876,0.0001903353,0.00009295578,0.001614281,0.0005728156,0.01052773,0.9516418,0.00004142233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.007696026,0.01914172,0.04279778,0.006570871,0.00611209,0.0009976251,0.8273634,0.005370638,0.0839499],"genre_scores_gemma":[0.0448737,0.01478388,0.07118794,0.003053773,0.001894558,0.004674013,0.7986742,0.004525373,0.05633247],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9578549,"threshold_uncertainty_score":0.1409893,"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."}}