{"id":"W4247369394","doi":"10.18356/1768c00d-en","title":"Acknowledgements","year":2016,"lang":"en","type":"book-chapter","venue":"Statistical papers. Series M","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Commission; Official statistics; European commission; Work (physics); Business cycle; Statistical analysis; Summary statistics; Order (exchange); Statistics; Political science; Economics; Geography; Finance; Economic policy; Engineering; Macroeconomics; European union; Mathematics","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":["insufficient_payload"],"category_scores_codex":[0.004701522,0.0008232842,0.001021511,0.0024139,0.002004403,0.003050327,0.002288924,0.001268699,0.4027008],"category_scores_gemma":[0.03315445,0.0002864062,0.000500872,0.001973571,0.0007947001,0.002818085,0.004047922,0.00275811,0.2623593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002531773,"about_ca_system_score_gemma":0.004431055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003655931,"about_ca_topic_score_gemma":0.005371203,"domain_scores_codex":[0.9954804,0.0009185223,0.0003416589,0.000645638,0.002348183,0.0002655804],"domain_scores_gemma":[0.9787169,0.002752501,0.000575578,0.001427132,0.01378647,0.002741495],"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":[0.00003287303,0.00001310747,0.0002327116,0.0001703986,0.000003358963,0.0001441737,0.0006366863,0.00005796005,0.0002319539,0.01325442,0.9429854,0.04223685],"study_design_scores_gemma":[0.000003103966,0.000003887106,0.0001628831,0.00009676584,0.000001828754,0.0001107478,0.0002650846,0.00002590429,0.00005065887,0.001674053,0.9976016,0.000003603628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004605885,0.01118547,0.02001325,0.1193438,0.1251294,0.00129755,0.04271015,0.003724667,0.6719898],"genre_scores_gemma":[0.01603809,0.003633753,0.01159565,0.0146019,0.007037222,0.0008929392,0.01595787,0.00297843,0.9272641],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5972992,"threshold_uncertainty_score":0.8519748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01864022280903064,"score_gpt":0.2892728031145916,"score_spread":0.270632580305561,"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."}}