{"id":"W4243623661","doi":"10.18356/88ed1195-en","title":"Acknowledgements","year":2013,"lang":"en","type":"book-chapter","venue":"Statistical papers. Series M","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Garcia; Kingdom; Geography; Political science; Humanities; Economic history; History; Art; Archaeology","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":[0.006361524,0.001216669,0.001239564,0.003169138,0.002768483,0.005999105,0.003085802,0.002143095,0.548017],"category_scores_gemma":[0.0347357,0.0004324657,0.000843066,0.003269309,0.001004967,0.00370955,0.005596207,0.00288744,0.3905624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002948764,"about_ca_system_score_gemma":0.007842587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005874983,"about_ca_topic_score_gemma":0.007161412,"domain_scores_codex":[0.9932492,0.001383015,0.0005732966,0.001321771,0.002840503,0.0006322621],"domain_scores_gemma":[0.9816348,0.002297405,0.0006327983,0.00213555,0.01107809,0.002221347],"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":[0.00007629429,0.0000175933,0.0004665692,0.0002853362,0.000008185873,0.0001679973,0.0004488084,0.00007551029,0.0002219261,0.01176682,0.9416248,0.04484003],"study_design_scores_gemma":[0.000007048919,0.000007034669,0.0002828527,0.0001691094,0.000003791114,0.0000952642,0.0003183339,0.00003286029,0.00007014253,0.001786153,0.9972215,0.000005940486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003682842,0.005937691,0.01733462,0.06420843,0.0827637,0.001607993,0.09267023,0.005376374,0.7264183],"genre_scores_gemma":[0.02048062,0.004189788,0.01742203,0.02170574,0.006697658,0.001876656,0.06298506,0.004058726,0.8605838],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.451983,"threshold_uncertainty_score":0.6446989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04707691058419049,"score_gpt":0.310504078173208,"score_spread":0.2634271675890175,"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."}}