{"id":"W4372215746","doi":"10.1145/3572334.3572379","title":"Barriers and opportunities to improve renal outcomes in South Africa using AI technology for pediatric ultrasound interpretation","year":2022,"lang":"en","type":"article","venue":"","topic":"Pediatric Urology and Nephrology Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Medicine; Intervention (counseling); Context (archaeology); Health care; Kidney disease; Population; Interpretation (philosophy); Family medicine; Nursing; Computer science; Environmental health; Political science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01123384,0.0002553577,0.0002269378,0.0008446017,0.001610107,0.003183275,0.0009157307,0.0004909194,0.003888752],"category_scores_gemma":[0.05556482,0.0002259838,0.0002102332,0.001333807,0.001452186,0.001787568,0.003596259,0.0009720882,0.000334482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002425731,"about_ca_system_score_gemma":0.01006998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02138809,"about_ca_topic_score_gemma":0.01957568,"domain_scores_codex":[0.9893131,0.007055761,0.0008055342,0.0003587942,0.001423693,0.00104312],"domain_scores_gemma":[0.9548115,0.03320238,0.005211711,0.001065571,0.003407531,0.00230131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001594565,0.0002820345,0.4617226,0.002476652,0.00005533203,0.004735165,0.2001494,0.001124179,0.003161588,0.008456795,0.009891843,0.307785],"study_design_scores_gemma":[0.00005231291,0.0004583168,0.2716998,0.008041261,0.0001219157,0.006115929,0.5285592,0.004352135,0.005205251,0.00714267,0.1680981,0.0001531578],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9107883,0.002718596,0.00581544,0.05116304,0.0001281883,0.0002800181,0.0003166817,0.0001547078,0.02863496],"genre_scores_gemma":[0.9878963,0.00177568,0.007508894,0.001709899,0.00002263952,0.0001039065,0.00005559635,0.00002878288,0.0008983662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02138809,"threshold_uncertainty_score":0.05941093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02667064588051142,"score_gpt":0.2821020638785397,"score_spread":0.2554314179980283,"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."}}