{"id":"W2166744036","doi":"10.1186/s12914-014-0038-3","title":"Thriving beyond survival: Understanding utilization of perinatal health services as predictors of birth registration: A cross-sectional study","year":2014,"lang":"en","type":"article","venue":"BMC International Health and Human Rights","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Universitas Indonesia; Australian Government","keywords":"Birth certificate; Medicine; Cross-sectional study; Demography; Public health; Under-five; Environmental health; Population; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006317722,0.0001349916,0.0003310102,0.0001715068,0.0003915113,0.0000313363,0.0001095283,0.00005201171,0.00007891736],"category_scores_gemma":[0.00001221299,0.0001107085,0.00005329149,0.00008142028,0.00009761742,0.0001389919,0.00003903676,0.0001156009,0.000001963882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002109017,"about_ca_system_score_gemma":0.0002516947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004283082,"about_ca_topic_score_gemma":0.004621483,"domain_scores_codex":[0.9980088,0.0001047571,0.0007706071,0.0002769291,0.0006388557,0.0001999999],"domain_scores_gemma":[0.9988199,0.00005611272,0.0005282764,0.0001415268,0.0002020815,0.0002520468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002698629,0.0001974897,0.7971535,0.001180506,0.00003405095,7.834626e-7,0.0008713879,0.000007695458,0.000003867638,0.2002402,0.0000193021,0.0000213108],"study_design_scores_gemma":[0.00184697,0.002470338,0.9832469,0.000330511,0.00000595192,0.0000325033,0.0004881763,0.0002577262,0.0000129733,0.01018704,0.001047742,0.0000731753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944488,0.0001045224,0.000570617,0.0002650043,0.0005246064,0.0004687871,0.00004559749,0.00003356248,0.003538538],"genre_scores_gemma":[0.9986867,0.00002150938,0.0001112945,0.0002766114,0.0003274052,0.00000552496,0.000108235,0.00001034968,0.0004524101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1900532,"threshold_uncertainty_score":0.6474767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05572433118567861,"score_gpt":0.3730994371055055,"score_spread":0.3173751059198269,"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."}}