{"id":"W4295448972","doi":"10.1080/16549716.2021.2006419","title":"The RADAR coverage tool: developing a toolkit for rigorous household surveys for reproductive, maternal, newborn, and child health &amp; nutrition indicators","year":2022,"lang":"en","type":"article","venue":"Global Health Action","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Global Affairs Canada","keywords":"Reproductive health; Environmental health; Maternal health; Child health; Developing country; Medicine; Health services; Economic growth; Pediatrics; Population; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.00246537,0.000217731,0.0004255484,0.00008314947,0.002567874,0.00006103564,0.0001202655,0.00006435107,0.000005240266],"category_scores_gemma":[0.00009714593,0.0001677845,0.00009311184,0.0003620103,0.00005321153,0.0001287135,0.00007626809,0.0002743673,0.00000220854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001868027,"about_ca_system_score_gemma":0.0008188119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003179251,"about_ca_topic_score_gemma":0.0005753483,"domain_scores_codex":[0.9973076,0.0003456552,0.0006379406,0.0005750795,0.0004047723,0.000728964],"domain_scores_gemma":[0.9987674,0.00007889712,0.0004676898,0.0003220761,0.00008439569,0.0002795745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009320329,0.001024004,0.08342749,0.008339822,0.0002646132,0.00000828382,0.0004849229,0.00006691657,0.00001755124,0.02978493,0.1179391,0.749322],"study_design_scores_gemma":[0.002956521,0.001168648,0.3261857,0.000182461,0.00001883268,0.0004780148,0.0001473939,0.00001257239,0.00002310871,0.006031925,0.662635,0.0001597887],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.807999,0.006506794,0.02708982,0.1422313,0.00325152,0.009215051,0.003205802,0.0003443083,0.0001564478],"genre_scores_gemma":[0.9650452,0.006308773,0.007251534,0.01786563,0.001407537,0.00102566,0.0007587346,0.00005840819,0.0002785537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7491623,"threshold_uncertainty_score":0.9987307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03809684306348785,"score_gpt":0.3399208476245818,"score_spread":0.3018240045610939,"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."}}