{"id":"W2953517191","doi":"10.1002/hpm.2823","title":"Policy overview of the multisectoral nutrition planning process: The progress, challenges, and lessons learned from Burkina Faso","year":2019,"lang":"en","type":"article","venue":"The International Journal of Health Planning and Management","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Reach Technologies (Canada)","funders":"Global Affairs Canada; UNICEF","keywords":"Accountability; Government (linguistics); Stakeholder; Strategic planning; Business; Process (computing); Political science; Malnutrition; Process management; Economic growth; Environmental resource management; Public relations; Economics; Marketing; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0006369178,0.0001005237,0.0001837521,0.0001082984,0.0001632394,0.00007761288,0.0004169652,0.00002647349,0.000003883415],"category_scores_gemma":[0.00002014245,0.00005288422,0.00005151972,0.0000671931,0.00007346147,0.0001260201,0.0001211581,0.0002202913,6.259705e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005775032,"about_ca_system_score_gemma":0.00002420206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001186143,"about_ca_topic_score_gemma":0.000006308648,"domain_scores_codex":[0.9987656,0.0001642054,0.0003747586,0.0001239479,0.0004291725,0.0001422395],"domain_scores_gemma":[0.9990969,0.0001162179,0.0005360074,0.0001246926,0.00009014289,0.00003608939],"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":[0.004598155,0.001438123,0.1124442,0.00598011,0.001861568,0.00006697292,0.07633194,0.00175863,0.0002008726,0.02347693,0.01203067,0.7598118],"study_design_scores_gemma":[0.007097914,0.0005267827,0.8513615,0.01468622,0.0001371432,0.0001877181,0.01026474,0.001236978,0.0004645054,0.03540107,0.07835423,0.0002811672],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.671482,0.05187451,0.00002895766,0.2750824,0.0007815775,0.0005039049,0.00001775275,0.00001183495,0.0002169824],"genre_scores_gemma":[0.9911132,0.006551096,0.00008412249,0.001886842,0.0003192591,0.000007887353,0.000005773122,0.000009490555,0.00002234455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7595306,"threshold_uncertainty_score":0.2156556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1159560753755738,"score_gpt":0.4101825681903171,"score_spread":0.2942264928147433,"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."}}