{"id":"W2996387122","doi":"10.9734/ejnfs/2015/20961","title":"Lessons in Scale-up of a Public Sector Zinc ORS Intervention for Childhood Diarrhoea Management in the Indian State of Bihar","year":2015,"lang":"en","type":"article","venue":"European Journal of Nutrition & Food Safety","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nutrition International","funders":"","keywords":"Intervention (counseling); State (computer science); Scale (ratio); Zinc; Medicine; Public sector; Political science; Geography; Nursing; Mathematics; Materials science; Cartography; Metallurgy","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":[0.00321286,0.0001516468,0.0003388833,0.0007966802,0.00004593295,0.00005657656,0.0004580111,0.00002698591,0.000009926423],"category_scores_gemma":[0.000103236,0.0001240281,0.0002657013,0.0005825597,0.00006637901,0.0004123606,0.00005517502,0.0002790408,0.000002308603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001154026,"about_ca_system_score_gemma":0.00001698722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006567237,"about_ca_topic_score_gemma":0.0001081218,"domain_scores_codex":[0.9967458,0.00122948,0.001251407,0.0001637215,0.0003706954,0.0002388435],"domain_scores_gemma":[0.9986134,0.00008984814,0.0007270923,0.0001983692,0.00026061,0.0001106715],"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":[0.03885786,0.0854426,0.05056199,0.01018941,0.00185592,0.0006483901,0.1732354,0.0009534048,0.002899962,0.003981296,0.02733711,0.6040367],"study_design_scores_gemma":[0.0810894,0.009734802,0.8425133,0.00640334,0.0002043426,0.0002717179,0.01366391,0.00006385498,0.008942516,0.01046578,0.02600659,0.0006404346],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873573,0.0004667664,0.001314817,0.008818259,0.0005632452,0.0008096434,0.0001831363,0.00001104775,0.0004757728],"genre_scores_gemma":[0.9987787,0.0001447954,0.0006900044,0.0001402535,0.0001583679,0.000008573723,0.00004335967,0.00002980716,0.000006123993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7919513,"threshold_uncertainty_score":0.505772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05005902046378669,"score_gpt":0.2880963920932811,"score_spread":0.2380373716294945,"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."}}