{"id":"W2142900098","doi":"10.12927/whp.2010.21662","title":"\"Social Marketing\" for Early Neonatal Care: Saving Newborn Lives in Pakistan","year":2010,"lang":"en","type":"article","venue":"World health & population","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breastfeeding; Medicine; Birth attendant; Infant mortality; Developing country; Social marketing; Neonatal mortality; Environmental health; Neonatal sepsis; Business; Economic growth; Population; Pediatrics; Sepsis; Maternal health; Health services; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001089679,0.0003145945,0.0001230091,0.0003106795,0.001952646,0.001405092,0.0002267976,0.001073802,0.004725236],"category_scores_gemma":[0.0007502504,0.00009224662,0.0001236722,0.0004656106,0.0009593131,0.001104451,0.0008830059,0.0007934206,0.0003437757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001281143,"about_ca_system_score_gemma":0.003926024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005340591,"about_ca_topic_score_gemma":0.008395997,"domain_scores_codex":[0.9996868,0.0001522033,0.00001510934,0.00001408534,0.00006831055,0.00006350851],"domain_scores_gemma":[0.9996126,0.0001088293,0.00009061104,0.000008886147,0.00003985568,0.0001393129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002688607,0.002040635,0.04166846,0.003318002,0.00003202413,0.004700903,0.02483811,0.0005166574,0.006780213,0.05526856,0.07580751,0.7847601],"study_design_scores_gemma":[0.0001625819,0.002711417,0.2350777,0.002531719,0.00009311768,0.006999939,0.04953627,0.0009274823,0.004983608,0.01844072,0.6784161,0.0001194302],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3911109,0.04861939,0.004446947,0.3386554,0.002472892,0.0009007147,0.0002575901,0.0001696205,0.2133666],"genre_scores_gemma":[0.882219,0.06313322,0.007798402,0.02557764,0.001015739,0.0001920958,0.00009739982,0.00001908148,0.01994761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005340591,"threshold_uncertainty_score":0.01580751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140113919313605,"score_gpt":0.3523708521816789,"score_spread":0.3383594602503184,"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."}}