{"id":"W1581622144","doi":"10.1002/0470011815.b2a17028","title":"Committee of Presidents of Statistical Societies ( <scp>COPSS</scp> )","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Biostatistics","topic":"Census and Population Estimation","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Political science; Member states; Public administration; Business; Statistics; European union; International trade","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":[],"consensus_categories":[],"category_scores_codex":[0.05763021,0.001249522,0.001658158,0.00747379,0.003058911,0.009320406,0.002881565,0.003631405,0.05737822],"category_scores_gemma":[0.1304744,0.0008475035,0.001501586,0.006779296,0.00149581,0.003102896,0.002662044,0.005007865,0.04941539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004676679,"about_ca_system_score_gemma":0.02808444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008965561,"about_ca_topic_score_gemma":0.007847494,"domain_scores_codex":[0.9603888,0.01116362,0.00570256,0.002747075,0.01801109,0.001986739],"domain_scores_gemma":[0.6558244,0.0264019,0.009283599,0.01424802,0.2796873,0.01455474],"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":[0.00002323666,0.00002079624,0.0007446366,0.00010221,0.00001270616,0.00002155415,0.00004332941,0.0001607073,0.0001009119,0.003619737,0.9479833,0.04716697],"study_design_scores_gemma":[0.00001371802,0.00001219951,0.00255737,0.0003115116,0.00001649156,0.00003990194,0.00007115061,0.0006667486,0.0002132779,0.001961026,0.9941151,0.00002144473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007316382,0.01903019,0.09821659,0.2424663,0.1636965,0.01524097,0.04797816,0.00553507,0.4005199],"genre_scores_gemma":[0.03756202,0.02204424,0.1184912,0.04711518,0.08887724,0.01658442,0.06582673,0.00391008,0.599589],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05763021,"threshold_uncertainty_score":0.3047813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02068999614188045,"score_gpt":0.310373520957629,"score_spread":0.2896835248157486,"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."}}