{"id":"W4410331314","doi":"10.33540/2935","title":"From Early detection to Outcome: Transforming Congenital Heart Disease Care in Tanzania","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"","keywords":"Tanzania; Outcome (game theory); Medicine; Heart disease; Intensive care medicine; Internal medicine; Geography; Economics; Environmental planning","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":[0.002998744,0.0003339298,0.0002281992,0.0009589243,0.00099175,0.003001295,0.0008094985,0.0007088117,0.003219606],"category_scores_gemma":[0.009865494,0.0002575591,0.0002826977,0.0006446824,0.00102593,0.001960669,0.004185293,0.002165349,0.0004718225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003726528,"about_ca_system_score_gemma":0.010852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01656142,"about_ca_topic_score_gemma":0.02413121,"domain_scores_codex":[0.9986537,0.000545543,0.0000993827,0.00008366923,0.0002081438,0.0004096189],"domain_scores_gemma":[0.9976666,0.0005911274,0.0003517625,0.00006731802,0.0003639528,0.0009592863],"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":[0.0002110862,0.0003186189,0.1910017,0.002753857,0.00007013587,0.002519936,0.02051421,0.00167623,0.002405033,0.0265015,0.0844004,0.6676272],"study_design_scores_gemma":[0.0003129856,0.002285986,0.5034582,0.02537616,0.0003335985,0.003607024,0.05458682,0.005403819,0.002677417,0.04577778,0.3558778,0.0003025197],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.4150884,0.08977471,0.00900072,0.4420848,0.004674931,0.0003650787,0.001400986,0.0004722024,0.03713806],"genre_scores_gemma":[0.9290927,0.04389189,0.009360295,0.01235951,0.001827887,0.0002634268,0.0005391164,0.00007792335,0.002587167],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01656142,"threshold_uncertainty_score":0.03293002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317877543321741,"score_gpt":0.3056058400109941,"score_spread":0.2924270645777767,"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."}}