{"id":"W4213348022","doi":"10.21203/rs.2.18741/v1","title":"Wealth and unintended pregnancy in Ghana: Analysis of 2014 Ghana Demographic and Health Survey","year":2019,"lang":"en","type":"preprint","venue":"Research Square (Research Square)","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health","funders":"","keywords":"Unintended pregnancy; Pregnancy; Unintended consequences; Socioeconomics; Economic growth; Environmental health; Development economics; Demographic economics; Political science; Medicine; Economics; Population; Family planning; Research methodology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001271687,0.0002548579,0.000312384,0.001187087,0.0003111217,0.0003496845,0.0004690136,0.0002631257,0.001820112],"category_scores_gemma":[0.003910046,0.0003084054,0.0004825134,0.003492912,0.0002597599,0.0004625447,0.0007461602,0.0005969145,0.0002708162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097709,"about_ca_system_score_gemma":0.0009275012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.049248,"about_ca_topic_score_gemma":0.05768692,"domain_scores_codex":[0.9993201,0.0002537121,0.0001234708,0.000072316,0.0001306529,0.00009975394],"domain_scores_gemma":[0.9980627,0.0002870208,0.001109289,0.0000898033,0.0002435807,0.0002076882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003898052,0.00001840725,0.9973307,0.00005859973,0.00003875918,0.00005780992,0.0003360713,0.00005188718,0.00004160478,0.00003467274,0.0006307965,0.001361663],"study_design_scores_gemma":[0.000002973685,0.00002301431,0.9985356,0.0000364787,0.00001205531,0.00005780546,0.0007986485,0.0001029963,0.00001657259,0.00001658307,0.0003949631,0.000002351001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813627,0.0007016917,0.0001612188,0.0003518536,0.00001260596,0.00009707825,0.01651942,0.00000605985,0.0007872703],"genre_scores_gemma":[0.992031,0.0005473013,0.0002939831,0.0000870806,0.000008254692,0.0001691839,0.00654726,0.000003972209,0.0003119012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.049248,"threshold_uncertainty_score":0.09792262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1281235632071946,"score_gpt":0.4606059746647008,"score_spread":0.3324824114575062,"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."}}