{"id":"W2625165504","doi":"10.1186/s12884-017-1379-4","title":"Unmet need for contraception and its association with unintended pregnancy in Bangladesh","year":2017,"lang":"en","type":"article","venue":"BMC Pregnancy and Childbirth","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Natural Science Foundation of China","keywords":"Unintended pregnancy; Medicine; Pregnancy; Family planning; Reproductive medicine; Public health; Odds; Population; Reproductive health; Logistic regression; National Survey of Family Growth; Family medicine; Odds ratio; Demography; Environmental health; 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":[0.0001083505,0.0001496689,0.0002937145,0.00004835416,0.000232741,0.00005404844,0.00006450548,0.0001154577,0.000009109182],"category_scores_gemma":[0.0001119629,0.000112798,0.00002954379,0.00003096252,0.00004217911,0.0001931712,0.0000288191,0.0001390705,0.000002861482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005239107,"about_ca_system_score_gemma":0.00005577252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005106656,"about_ca_topic_score_gemma":0.000339392,"domain_scores_codex":[0.9990826,0.0000281725,0.0001943714,0.0002675391,0.00014277,0.0002846053],"domain_scores_gemma":[0.9993754,0.0000343541,0.0002091716,0.000183619,0.00007905007,0.0001184301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005108541,0.0001233893,0.9853491,0.0007301718,0.00003778005,0.00001064889,0.0003086973,0.000001243975,0.0001099296,0.006181777,0.00004345073,0.006592962],"study_design_scores_gemma":[0.007398625,0.0004970505,0.9831737,0.006835921,0.00005679024,0.00003697648,0.00009376813,0.000192247,0.0003405637,0.0008451876,0.0003773254,0.0001518033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879503,0.007059841,0.0001351743,0.001596411,0.00009054909,0.001286837,0.00005506288,0.00004218287,0.001783648],"genre_scores_gemma":[0.9965554,0.001667604,0.0003564159,0.0001960654,0.00007154592,0.00005945938,0.00002204569,0.00001490457,0.001056489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008605178,"threshold_uncertainty_score":0.459977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812683236260712,"score_gpt":0.2746445387955948,"score_spread":0.2565177064329877,"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."}}