{"id":"W1538613775","doi":"","title":"The Micro-Economic Analysis Division: The Role of Analysis in Delivering Information Products","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Division (mathematics); Economic analysis; Division of labour; Business; Data science; Economics; Computer science; Classical economics; Market economy; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01981155,0.001122214,0.001427502,0.007596618,0.004837516,0.01954463,0.001707546,0.002246047,0.021577],"category_scores_gemma":[0.05481766,0.0009101133,0.0007632475,0.01277129,0.005146999,0.009777956,0.003058344,0.003712745,0.01279958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01924774,"about_ca_system_score_gemma":0.03746461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1629554,"about_ca_topic_score_gemma":0.09846346,"domain_scores_codex":[0.9866238,0.003959153,0.0007540925,0.001186221,0.006729976,0.0007466225],"domain_scores_gemma":[0.9479525,0.02206392,0.002167722,0.009516588,0.0160855,0.002213699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008416577,0.00004534574,0.003762274,0.0003289602,0.00002624515,0.00008915427,0.001546202,0.001337472,0.001385001,0.4918987,0.09956678,0.3999297],"study_design_scores_gemma":[0.00002727255,0.00003105002,0.005007701,0.0004796211,0.00004396287,0.0001742007,0.001130614,0.01639031,0.004432932,0.2408302,0.7313823,0.00006973761],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00812682,0.01803535,0.5973685,0.06735009,0.001996075,0.0006456493,0.002824426,0.006731437,0.2969218],"genre_scores_gemma":[0.1698779,0.01805427,0.6734512,0.005868444,0.002518906,0.0007478953,0.002718293,0.005352262,0.1214109],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1629554,"threshold_uncertainty_score":0.3240138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03016950842717551,"score_gpt":0.3303547455607809,"score_spread":0.3001852371336053,"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."}}