{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02050845,0.0001194696,0.0003493325,0.0001932845,0.000211518,0.0000750821,0.0003773567,0.00001395542,0.00004700113],"category_scores_gemma":[0.006823011,0.0001101076,0.00002733592,0.0004506601,0.00001872379,0.0003388867,0.0001033879,0.0005352891,0.00002446058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002450845,"about_ca_system_score_gemma":0.0006559155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004937429,"about_ca_topic_score_gemma":0.0001222137,"domain_scores_codex":[0.9944689,0.003236973,0.001286378,0.0003107754,0.0003526064,0.0003443384],"domain_scores_gemma":[0.9973944,0.0002053843,0.001445544,0.0004167107,0.0001642101,0.0003737199],"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":[0.00007732377,0.0007299841,0.005560005,0.0006730685,0.00008784654,0.00007397496,0.1065152,0.0003042326,0.00003060649,0.01326093,0.5154713,0.3572155],"study_design_scores_gemma":[0.004529002,0.004757553,0.1008344,0.0007822129,0.00001904005,0.0003945929,0.009279155,0.004023657,0.000003487721,0.003233432,0.8714709,0.0006725579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3046636,0.0003069516,0.06522991,0.6241849,0.0006282603,0.0007005501,0.00009348604,0.0001097012,0.004082588],"genre_scores_gemma":[0.9424123,0.00002786857,0.04380017,0.01163868,0.001784422,3.998544e-7,0.0001105288,0.00007373155,0.0001518627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6377487,"threshold_uncertainty_score":0.8168274,"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."}}