{"id":"W7096949966","doi":"","title":"Population and Migration Trends in the District Differ from Nation’s","year":2013,"lang":"en","type":"article","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Memphis; Productivity; Population; Population growth; Population density; Quarter (Canadian coin); Census; Metropolitan area","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":[0.0001053243,0.0000599112,0.0001367616,0.0001696547,0.00004540821,0.000121968,0.00007245681,0.00003720229,0.0007893774],"category_scores_gemma":[0.0000130056,0.00004624703,0.00004502607,0.0001579943,0.00001023739,0.0002139254,0.00001080385,0.00004018763,0.00009881585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000328175,"about_ca_system_score_gemma":8.541391e-7,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07374088,"about_ca_topic_score_gemma":0.009201879,"domain_scores_codex":[0.9994515,0.000008941059,0.0002817278,0.0001690816,0.0000171357,0.00007166915],"domain_scores_gemma":[0.9997261,0.00003977683,0.00009894163,0.0001090688,0.000007450226,0.00001870203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001473416,0.00003093635,0.7756546,7.530462e-7,0.00001558081,1.489193e-7,0.0002415795,0.00006565933,0.000003700084,0.2092956,0.001604455,0.0130855],"study_design_scores_gemma":[0.0001059759,0.000006275458,0.8803164,5.821823e-7,0.000001805176,1.528355e-7,0.00003815163,0.05060606,8.631741e-7,0.06702747,0.001835014,0.00006122544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817843,0.000144465,0.0008021403,0.01129779,0.00003933598,0.0000554244,0.00002630989,0.000005339503,0.005844939],"genre_scores_gemma":[0.9985032,0.00009189063,0.0001150963,0.0003673199,0.00005243008,0.00002450853,0.0002109732,0.000003747085,0.0006308018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1422681,"threshold_uncertainty_score":0.9324272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02760777524009032,"score_gpt":0.1942936784855909,"score_spread":0.1666859032455006,"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."}}