{"id":"W3091895223","doi":"10.1093/eurpub/ckaa165.413","title":"Collecting Data on Sexual & Reproductive Health in Humanitarian Settings","year":2020,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Abortion; Reproductive health; Focus group; Human immunodeficiency virus (HIV); Variety (cybernetics); Resource (disambiguation); Data collection; Sexual and reproductive health and rights; Sexual violence; Medicine; Reproductive rights; Psychology; Medical emergency; Political science; Environmental health; Family medicine; Nursing; Business; Pregnancy; Computer science; Sociology; Population; Social science","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":[0.009965032,0.0002727281,0.0002021443,0.00200139,0.001186847,0.001273239,0.0007370032,0.000335809,0.009802335],"category_scores_gemma":[0.01615432,0.0002561143,0.0002523938,0.002589884,0.0006932109,0.0008141746,0.002774855,0.0008835096,0.002107514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581247,"about_ca_system_score_gemma":0.006986744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01650947,"about_ca_topic_score_gemma":0.02139133,"domain_scores_codex":[0.9917857,0.005645354,0.0007280696,0.0002949012,0.001038731,0.0005071483],"domain_scores_gemma":[0.9777075,0.008317494,0.003119661,0.002322128,0.006356702,0.002176489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003443172,0.001190935,0.5762192,0.003266377,0.0001016786,0.0005113792,0.02762075,0.001783484,0.00647464,0.007060382,0.05755327,0.3178736],"study_design_scores_gemma":[0.0001307566,0.001143863,0.8000237,0.001934236,0.00004781366,0.0003522538,0.03769558,0.001358012,0.005527535,0.002792788,0.1489098,0.00008370593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.754822,0.0009614457,0.01876555,0.005977927,0.0003148832,0.016943,0.1013454,0.0004017174,0.1004681],"genre_scores_gemma":[0.8778238,0.001574168,0.05905543,0.001157407,0.0001126793,0.01432148,0.03271643,0.00007295975,0.01316558],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01650947,"threshold_uncertainty_score":0.05270076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4610648689003006,"score_gpt":0.4269652501004261,"score_spread":0.03409961879987455,"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."}}