{"id":"W7062579663","doi":"","title":"Understanding determinants of reproductive, maternal, and adolescent health in Kenya and Tanzania : opportunities to improve maternal and newborn health outcomes","year":2024,"lang":"en","type":"article","venue":"Ghent University Academic Bibliography (Ghent University)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada; Government of the Republic of Kenya; Aga Khan Foundation Canada; Aga Khan Foundation","keywords":"Tanzania; Adolescent health; Population; Maternal health; Public health; Child health; Developing country","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":[0.003850962,0.0002875427,0.0002822296,0.000784266,0.002006539,0.001339595,0.0004812335,0.000606445,0.003055525],"category_scores_gemma":[0.007184245,0.0003002188,0.0002850376,0.001109498,0.001100418,0.001524613,0.001978092,0.002390109,0.000158771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210371,"about_ca_system_score_gemma":0.004430005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07190399,"about_ca_topic_score_gemma":0.1799433,"domain_scores_codex":[0.9994689,0.000332966,0.00002672018,0.0000379221,0.00004103454,0.00009264119],"domain_scores_gemma":[0.9975569,0.001475386,0.0002902561,0.00004577342,0.0002776808,0.0003539237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001451145,0.0002179249,0.5347345,0.002740787,0.0003333798,0.001106127,0.1002951,0.0005702974,0.001490787,0.02056685,0.1285103,0.2092887],"study_design_scores_gemma":[0.0000297189,0.0003581254,0.712653,0.007263516,0.0004806459,0.0005222517,0.1145939,0.0005529018,0.000725443,0.01341952,0.1492935,0.0001074725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3010373,0.1591745,0.002900659,0.5209658,0.003375165,0.000118733,0.002407266,0.00005298858,0.009967707],"genre_scores_gemma":[0.8758292,0.09484794,0.005371685,0.01869577,0.001252177,0.0002202756,0.0005539307,0.00003555682,0.003193505],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07190399,"threshold_uncertainty_score":0.142971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06807365837970707,"score_gpt":0.2846312700645435,"score_spread":0.2165576116848364,"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."}}