{"id":"W2981370993","doi":"10.7189/jogh.09.020701","title":"Setting priorities in child health research in India for 2016-2025: a CHNRI exercise undertaken by the Indian Council for Medical Research and INCLEN Trust","year":2019,"lang":"en","type":"article","venue":"Journal of Global Health","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"Indian Council of Medical Research; World Health Organization","keywords":"Psychological intervention; Child mortality; Millennium Development Goals; Medicine; Environmental health; Economic growth; Medical research; Developing country; Political science; Nursing; Population","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2977105,0.001710555,0.002168819,0.01343739,0.007720601,0.01312074,0.005110523,0.003452715,0.004857169],"category_scores_gemma":[0.1961901,0.001495228,0.003217802,0.0122944,0.003786535,0.004671958,0.02117258,0.008449809,0.001172978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03440118,"about_ca_system_score_gemma":0.1687529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02214227,"about_ca_topic_score_gemma":0.04277105,"domain_scores_codex":[0.8335975,0.1100849,0.01908835,0.004844785,0.02153899,0.01084549],"domain_scores_gemma":[0.7403125,0.1273107,0.01889106,0.009972627,0.06669377,0.03681923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009657333,0.0008235295,0.03029444,0.02276871,0.0007684005,0.001559971,0.06567325,0.005690038,0.005006316,0.02228364,0.1699885,0.6741775],"study_design_scores_gemma":[0.0008327935,0.001643199,0.1080631,0.03261241,0.001040805,0.0008827813,0.1761387,0.008557516,0.005631307,0.05954315,0.6041448,0.0009095032],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1907553,0.0400465,0.09843825,0.4524159,0.008345875,0.1202329,0.01461515,0.002286061,0.07286405],"genre_scores_gemma":[0.2508418,0.01806892,0.6626536,0.01461279,0.00118125,0.03849227,0.006921732,0.0003556467,0.006871869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2977105,"threshold_uncertainty_score":0.866048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1011971640909125,"score_gpt":0.4443695424038061,"score_spread":0.3431723783128936,"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."}}