{"id":"W6986516545","doi":"","title":"2010 Population and Housing Census Report: Millennium Development Goals in Ghana","year":2013,"lang":"en","type":"report","venue":"Issue Lab (Candid)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Population; Poverty; Quarter (Canadian coin); Per capita; Population growth; Standard of living; Natural resource","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":[0.0009428432,0.001061095,0.0006555192,0.002063113,0.0003822367,0.0007854114,0.0007981042,0.0004391571,0.01480541],"category_scores_gemma":[0.002674662,0.0003371432,0.0004356893,0.006425496,0.0001916119,0.00136031,0.0008296972,0.001179453,0.00907806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002443978,"about_ca_system_score_gemma":0.003509575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1225295,"about_ca_topic_score_gemma":0.1253002,"domain_scores_codex":[0.9995239,0.00006753171,0.00006997005,0.00006292624,0.0001731977,0.0001025321],"domain_scores_gemma":[0.9985511,0.00006877537,0.0002560716,0.00003005035,0.0009661766,0.0001278722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007220324,0.00003967334,0.02706908,0.0009502303,0.00004015138,0.0001055041,0.0003334603,0.0002029367,0.0001178488,0.001097632,0.9463535,0.02361775],"study_design_scores_gemma":[0.00008937695,0.00004707068,0.33736,0.0009491458,0.00007030172,0.000213936,0.001405607,0.0004258921,0.0001950955,0.0008052657,0.6584026,0.0000356805],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.008696738,0.004353491,0.0004631269,0.002443642,0.000782556,0.0005198222,0.9696331,0.0001630827,0.01294443],"genre_scores_gemma":[0.06274503,0.01390903,0.004079536,0.002170999,0.0004390004,0.003330722,0.8930966,0.0001676086,0.02006145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1225295,"threshold_uncertainty_score":0.2436325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04010339564335424,"score_gpt":0.3076443526245641,"score_spread":0.2675409569812098,"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."}}