{"id":"W4411892433","doi":"10.2139/ssrn.5322529","title":"Setting Research Priorities to Understand and Address the Impact of Climate Change on the Health of Women and Children in Low- and Middle-Income Countries Using the Child Health and Nutrition Research Initiative (CHNRI) Methodology","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Global Health Research; SickKids Foundation; University of Toronto","funders":"","keywords":"Low and middle income countries; Child health; Economic growth; Political science; Climate change; Low income; Socioeconomics; Environmental health; Psychology; Medicine; Developing country; Sociology; Economics; Pediatrics","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":[],"consensus_categories":[],"category_scores_codex":[0.09868116,0.002122933,0.002842439,0.004784577,0.002654709,0.007233623,0.003837404,0.003203779,0.008772895],"category_scores_gemma":[0.09721638,0.001043222,0.002666645,0.006772679,0.00200464,0.005096157,0.00985367,0.003619105,0.0008993213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006759771,"about_ca_system_score_gemma":0.04122302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02054926,"about_ca_topic_score_gemma":0.03053683,"domain_scores_codex":[0.9371971,0.05492666,0.001718286,0.002289334,0.001291686,0.002576793],"domain_scores_gemma":[0.9373274,0.04633626,0.004538666,0.002280635,0.006500775,0.003016225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001705327,0.002194043,0.1689233,0.03130893,0.004760703,0.001266932,0.04149416,0.01573909,0.003864821,0.2206743,0.03388369,0.4741847],"study_design_scores_gemma":[0.002196179,0.003803208,0.1468299,0.01853278,0.005772181,0.0005100485,0.2018119,0.0317224,0.01034392,0.4670096,0.1110929,0.0003751011],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2929604,0.02205054,0.4912062,0.07326071,0.002524182,0.04427932,0.0153035,0.0005802654,0.05783489],"genre_scores_gemma":[0.3603109,0.006949332,0.5878326,0.0047425,0.000174273,0.03445121,0.002335961,0.0000779789,0.0031253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09868116,"threshold_uncertainty_score":0.5218821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3020768534966533,"score_gpt":0.4813278929787618,"score_spread":0.1792510394821085,"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."}}