{"id":"W2002345777","doi":"10.1371/journal.pone.0102391","title":"Scaling-Up Access to Family Planning May Improve Linear Growth and Child Development in Low and Middle Income Countries","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Grand Challenges Canada","keywords":"Firstborn; Birth order; Demography; Medicine; Pregnancy; Relative risk; Low and middle income countries; Confidence interval; Cross-sectional study; Pediatrics; Developing country; Environmental health; Population; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002260141,0.0004485494,0.0003364296,0.0009177511,0.0006286201,0.001037082,0.0009921551,0.0005512531,0.01948088],"category_scores_gemma":[0.005562587,0.0001621249,0.0005777029,0.001574094,0.0006015434,0.0008039905,0.002530234,0.0008363277,0.0009593135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001167233,"about_ca_system_score_gemma":0.003571608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03118269,"about_ca_topic_score_gemma":0.03895414,"domain_scores_codex":[0.9993601,0.0002851827,0.00003297973,0.00005627176,0.00006879297,0.000196651],"domain_scores_gemma":[0.9985498,0.000345277,0.0003664031,0.000130265,0.0002077238,0.0004005127],"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":[0.0003711358,0.0009449876,0.2760809,0.003646117,0.0004176507,0.00102483,0.002253085,0.004323505,0.001651801,0.007619488,0.0720312,0.6296353],"study_design_scores_gemma":[0.0004689629,0.00136448,0.8509768,0.006135511,0.000453127,0.0005936587,0.005363671,0.001891938,0.0007937358,0.007248145,0.124636,0.0000740027],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7042708,0.06888025,0.01302173,0.08850861,0.001663626,0.001561986,0.02138168,0.001968013,0.09874322],"genre_scores_gemma":[0.9558519,0.01848621,0.01182965,0.005856678,0.0004754748,0.0008071128,0.00285176,0.00004271899,0.003798364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03118269,"threshold_uncertainty_score":0.06517005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03161549156881917,"score_gpt":0.2564271030497858,"score_spread":0.2248116114809666,"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."}}