{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03542555,0.001382229,0.002347162,0.00189904,0.01222583,0.01397848,0.003880018,0.03119999,0.02048005],"category_scores_gemma":[0.1428918,0.00106639,0.001541718,0.002051895,0.03213903,0.02245452,0.01043281,0.05032807,0.008292727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005665326,"about_ca_system_score_gemma":0.0141263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01227806,"about_ca_topic_score_gemma":0.01675709,"domain_scores_codex":[0.9567929,0.02437271,0.00157503,0.002285603,0.01059717,0.004376529],"domain_scores_gemma":[0.8985722,0.05938128,0.006659832,0.005450589,0.01180274,0.01813339],"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":[0.00007039285,0.00003078505,0.0004838997,0.0001518847,0.00004135729,0.0001060336,0.001891463,0.00004357856,0.0001109522,0.04478831,0.9246282,0.0276532],"study_design_scores_gemma":[0.00009414015,0.000088837,0.001888589,0.001277916,0.000059995,0.0003517071,0.00654349,0.0001768051,0.0003311835,0.1151415,0.8739011,0.0001446795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007116907,0.009491391,0.0005718023,0.9517071,0.02469463,0.000008187371,0.00003199667,0.00005739677,0.01272577],"genre_scores_gemma":[0.03849145,0.008015254,0.001708287,0.90315,0.02599818,0.00006650409,0.0000733534,0.0003373788,0.02215954],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03542555,"threshold_uncertainty_score":0.1873505,"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."}}