{"id":"W1955587787","doi":"10.1186/s12913-015-1005-y","title":"Can she make it? Transportation barriers to accessing maternal and child health care services in rural Ghana","year":2015,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":249,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Western University","funders":"","keywords":"Neglect; Medicine; Context (archaeology); Referral; Health informatics; Health facility; Focus group; Environmental health; Health care; Poverty; Public health; Health policy; Rural area; Nursing; Business; Economic growth; Population; Health services; Geography; Marketing","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":[0.001122253,0.0001345307,0.0001600051,0.0002374625,0.001640809,0.0009752096,0.0005102978,0.0004272887,0.004905224],"category_scores_gemma":[0.004953781,0.0001811032,0.0000767214,0.0006835236,0.001203519,0.001165295,0.0009971529,0.0006742548,0.0001952704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001894299,"about_ca_system_score_gemma":0.00359154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05612328,"about_ca_topic_score_gemma":0.06986582,"domain_scores_codex":[0.9991328,0.0005192766,0.00003844601,0.00004828412,0.00006265382,0.0001984865],"domain_scores_gemma":[0.9979916,0.0008755714,0.0006561783,0.00002950389,0.0001064452,0.000340623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002150225,0.0003702678,0.5744803,0.001153291,0.00004554061,0.00894337,0.3341851,0.0002661507,0.001696892,0.005886771,0.008440649,0.06431671],"study_design_scores_gemma":[0.00003721006,0.0002255421,0.2876315,0.00112133,0.00002874732,0.001833621,0.6908164,0.000290281,0.0001806861,0.001071631,0.01674169,0.00002125869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879007,0.001321331,0.0001351041,0.007333413,0.00002227257,0.00003212631,0.00006239745,0.000004134677,0.003188523],"genre_scores_gemma":[0.9976043,0.00142084,0.0001340524,0.0004057557,0.000008527424,0.00002943624,0.00001895467,0.000002053565,0.0003760727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05612328,"threshold_uncertainty_score":0.1115932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03549113912668346,"score_gpt":0.4089716703971674,"score_spread":0.3734805312704839,"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."}}