{"id":"W4282916950","doi":"10.1038/s41390-022-02139-z","title":"Partnering with children and youth to advance artificial intelligence in healthcare","year":2022,"lang":"en","type":"article","venue":"Pediatric Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Public Health Ontario; Hospital for Sick Children","funders":"","keywords":"Health care; Psychology; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001386215,0.0000767898,0.0001605151,0.0006126231,0.0002355921,0.00001264186,0.00008608155,0.00001758448,0.0000697751],"category_scores_gemma":[0.0001544377,0.00006817678,0.000009646457,0.001652021,0.00002964236,0.0000483836,0.0001210902,0.0005925394,0.000008094205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001544348,"about_ca_system_score_gemma":0.0002792039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002046273,"about_ca_topic_score_gemma":0.0003505142,"domain_scores_codex":[0.9979402,0.0001587057,0.0002853233,0.0003222515,0.0007910977,0.0005024329],"domain_scores_gemma":[0.9993196,0.000105384,0.00003456049,0.0001780371,0.00009568374,0.0002668102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005634605,0.00009732451,0.8779122,0.00009329274,0.000004157057,0.00004161565,0.004019254,0.00005274089,0.00001741867,0.0007874016,0.000315685,0.1160955],"study_design_scores_gemma":[0.0007769611,0.004557507,0.9832233,0.00002136051,0.00002103279,0.00008944956,0.009620705,0.0001610233,0.0001218573,0.0006599947,0.0005744157,0.000172392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875801,0.0006752424,0.0002809986,0.01020176,0.0000374187,0.001077834,0.00002900392,0.00002368561,0.0000939407],"genre_scores_gemma":[0.9979208,0.0002968384,0.0006822634,0.0004719408,0.0003550354,0.0001631936,0.0000592472,0.00001581764,0.00003490618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1159231,"threshold_uncertainty_score":0.3093366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.121290418205133,"score_gpt":0.4610696602951435,"score_spread":0.3397792420900105,"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."}}