{"id":"W7101182474","doi":"","title":"ISSUES IN ESTIMATING THE POPULATION OF CANADIAN MUNICIPALITIES","year":2013,"lang":"en","type":"article","venue":"","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; American Community Survey; Population; Context (archaeology); Estimation; Strengths and weaknesses; Small area estimation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007344821,0.00004756578,0.00008208132,0.0002577808,0.0002241998,0.00005870518,0.0002069489,0.00003132883,0.0003878517],"category_scores_gemma":[0.00009612928,0.00003564496,0.000028196,0.0005230124,0.0001342429,0.0002011407,0.00001841173,0.00004817165,0.000019451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004748024,"about_ca_system_score_gemma":0.00003187713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977184,"about_ca_topic_score_gemma":0.9873469,"domain_scores_codex":[0.9991574,0.0001504191,0.0001834647,0.00007849171,0.0002104226,0.0002198188],"domain_scores_gemma":[0.9996548,0.00004986979,0.00005154935,0.0001514262,0.00004993991,0.00004240973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[3.127556e-7,0.000008934484,0.7301987,0.00001050077,0.000007536437,3.933403e-7,0.0212222,0.0004819916,0.000001320662,0.2433041,0.001469554,0.003294432],"study_design_scores_gemma":[0.00004144387,0.000004376403,0.9552291,0.00001576124,0.00000356021,2.570258e-8,0.02288982,0.00189731,0.0000045478,0.01528918,0.004559164,0.00006570925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8942097,0.00006691625,0.000004565986,0.003703683,0.0001552183,0.0003197813,0.000001223062,0.00001979078,0.1015191],"genre_scores_gemma":[0.9965015,0.00003299083,0.001351668,0.0001440314,0.00005462184,0.0000250632,0.000002295144,0.000003512983,0.001884328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2280149,"threshold_uncertainty_score":0.4246704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02943364907498478,"score_gpt":0.3114934606887599,"score_spread":0.2820598116137751,"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."}}