{"id":"W2884020332","doi":"","title":"Recent Population Trends in the Midwest","year":2011,"lang":"en","type":"article","venue":"Economic Trends","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Fell; Population; Demography; Geography; Quarter (Canadian coin); Cartography; Archaeology; Sociology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001041116,0.0001090089,0.000136104,0.0003772604,0.000221953,0.0000594071,0.0004006213,0.00006644613,0.003007432],"category_scores_gemma":[0.000007740831,0.00009518052,0.00009421344,0.0004085363,0.0001134338,0.0002424712,0.00002109809,0.0001034331,0.0001315643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001754206,"about_ca_system_score_gemma":0.00001462048,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01563773,"about_ca_topic_score_gemma":0.1152102,"domain_scores_codex":[0.9988125,0.0002191836,0.0002831918,0.000251562,0.0001250407,0.0003085332],"domain_scores_gemma":[0.9995058,0.00002546464,0.0001160008,0.0002994704,0.000008178783,0.00004514417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001247847,0.00009094914,0.4016182,0.00000134451,0.0000188862,0.000004479718,0.01368135,0.00002140818,1.97471e-7,0.06901225,0.00606469,0.5094737],"study_design_scores_gemma":[0.0001662564,0.00001478258,0.8179625,0.000002120572,0.000009821439,2.733993e-7,0.00109707,0.00001936927,0.000001258493,0.001605248,0.1790174,0.0001039172],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4808141,0.0000889637,0.000001058612,0.001189818,0.0006774997,0.0000542523,0.000007804417,0.00004332096,0.5171232],"genre_scores_gemma":[0.9967217,0.0002823617,0.00006029642,0.000209679,0.0002335434,0.00002980772,0.00003093484,0.000009169971,0.002422499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5159076,"threshold_uncertainty_score":0.9979039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06328238638635642,"score_gpt":0.3150232720704122,"score_spread":0.2517408856840558,"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."}}