{"id":"W7098141629","doi":"","title":"Analytical Paper Series — Service Industries Division Analytical Paper Series","year":2003,"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":"Series (stratigraphy); Government (linguistics); Division (mathematics); Service (business); Tertiary sector of the economy; Subject (documents)","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":[0.009485915,0.001188771,0.001473229,0.009814719,0.003881157,0.01446419,0.002815816,0.002099931,0.2392037],"category_scores_gemma":[0.05409478,0.0008245238,0.0009382247,0.02350294,0.001514432,0.003568767,0.0015045,0.002865981,0.2030306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04347964,"about_ca_system_score_gemma":0.08586822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4886657,"about_ca_topic_score_gemma":0.4160802,"domain_scores_codex":[0.9839348,0.0009430115,0.0008676045,0.001069844,0.01187781,0.001306869],"domain_scores_gemma":[0.9023982,0.005617828,0.002129835,0.005323083,0.07894231,0.005588729],"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":[0.00001305571,0.00001128859,0.0002370922,0.00005323904,0.000004273564,0.000007914084,0.00002320179,0.00007209124,0.00004047575,0.003969277,0.9771664,0.01840179],"study_design_scores_gemma":[0.000005315746,0.000006556425,0.002106274,0.00006937329,0.000004812528,0.00001488667,0.00006604209,0.0001500027,0.0001030145,0.0009558075,0.9965093,0.000008601811],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00250216,0.01655307,0.007855277,0.06690405,0.06852456,0.001793825,0.2272142,0.002224405,0.6064284],"genre_scores_gemma":[0.01166235,0.01785798,0.003774545,0.003520707,0.006753667,0.0008954287,0.09668069,0.001177149,0.8576775],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4886657,"threshold_uncertainty_score":0.9716427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06696822980536611,"score_gpt":0.3273566949312229,"score_spread":0.2603884651258568,"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."}}