{"id":"W2083758798","doi":"10.1016/s0140-6736(07)61307-5","title":"A scandal of invisibility: making everyone count by counting everyone","year":2007,"lang":"en","type":"article","venue":"The Lancet","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":466,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Centre for Global Health Research; St. Michael's Hospital","funders":"Carolina Population Center, University of North Carolina at Chapel Hill; University of North Carolina at Chapel Hill","keywords":"Official statistics; Data quality; Political science; Economic growth; Business; Statistics; Economics; Marketing; Service (business)","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":[0.001025354,0.00008873185,0.0003649906,0.00002093178,0.00006012338,0.000008583635,0.0001326668,0.00004481669,0.0000643126],"category_scores_gemma":[0.00006526556,0.00005525724,0.00004073666,0.0001249107,0.00006206141,0.00003297948,0.00004621077,0.0001783143,0.00002029151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009393839,"about_ca_system_score_gemma":0.00004141673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004536663,"about_ca_topic_score_gemma":0.0000689746,"domain_scores_codex":[0.9989257,0.00002337156,0.0002727327,0.0001308166,0.0003187391,0.000328603],"domain_scores_gemma":[0.999376,0.00006633854,0.0001166316,0.0003144072,0.00007285587,0.00005378461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001951137,0.0001847726,0.8544805,0.0007704828,0.00009392818,0.00003175109,0.000720405,0.000004196894,0.01321334,0.0006080352,0.1249425,0.002998941],"study_design_scores_gemma":[0.002392643,0.0001899128,0.8762218,0.000524567,0.00006386568,0.0001007845,0.0001986505,0.00007745245,0.003098491,0.0006292785,0.1163821,0.0001205206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899852,0.001695848,0.0001845994,0.002171512,0.0001212867,0.0001875161,0.00004116272,0.000037932,0.005575002],"genre_scores_gemma":[0.9908134,0.00006618774,0.0001934124,0.007746521,0.000596772,0.000001187412,0.000006694397,0.00000896201,0.0005668547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02174127,"threshold_uncertainty_score":0.2253325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02521667869721615,"score_gpt":0.3168112525606313,"score_spread":0.2915945738634151,"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."}}