{"id":"W3130291300","doi":"10.3886/e123302v1","title":"Increasing Women's Access to Skilled Pregnancy Care in Rural Nigeria","year":2015,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Pregnancy; Business; Labour economics; Obstetrics; Medicine; Economics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004893074,0.0004840919,0.001014962,0.0003741907,0.00007817192,0.0002027639,0.00198318,0.000359148,0.0003261979],"category_scores_gemma":[0.000635654,0.0004196448,0.00004823198,0.0004652398,0.00004726554,0.0004925592,0.00248656,0.0006753017,0.0003502328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008366357,"about_ca_system_score_gemma":0.0005211683,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006775122,"about_ca_topic_score_gemma":0.0008617925,"domain_scores_codex":[0.9968814,0.0001001414,0.0006192779,0.0008274696,0.0006965023,0.0008751702],"domain_scores_gemma":[0.9963954,0.00004585726,0.0002343557,0.002365335,0.0001764992,0.0007825497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005921596,0.0001113979,0.008431886,0.001350685,0.00003915597,0.0004154684,0.0004155427,4.240595e-7,0.00001051538,0.000001389701,0.9868377,0.001793641],"study_design_scores_gemma":[0.001970048,0.0003006232,0.01015678,0.006930745,0.00006768812,0.0001762146,0.0007230658,0.000001136022,0.000005859868,0.00003473968,0.9791949,0.0004382247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2481188,0.00139807,2.138859e-7,0.0003832935,0.0005736225,0.000879357,0.7484724,0.00005080866,0.0001235014],"genre_scores_gemma":[0.00701658,0.0009455509,0.0001351729,0.00321662,0.000583716,0.00004806592,0.987936,0.00004502041,0.00007323616],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2411022,"threshold_uncertainty_score":0.9998388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0342452584185549,"score_gpt":0.3541277557366601,"score_spread":0.3198824973181051,"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."}}