{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01156056,0.0003535977,0.0003051691,0.0006772298,0.002347208,0.005031213,0.001048091,0.001481801,0.01016264],"category_scores_gemma":[0.01849908,0.0002730364,0.000464536,0.0005338261,0.002165649,0.004249247,0.008486141,0.003347906,0.001606169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001473889,"about_ca_system_score_gemma":0.00760552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002389904,"about_ca_topic_score_gemma":0.005663653,"domain_scores_codex":[0.9900792,0.007406073,0.0001909982,0.0004044936,0.0008263766,0.001092841],"domain_scores_gemma":[0.9782695,0.007090886,0.001838668,0.0009010843,0.001530419,0.0103695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002195636,0.00287164,0.158284,0.0005382223,0.0001548357,0.001618916,0.09037828,0.0009787517,0.002409269,0.03815478,0.08753714,0.6168547],"study_design_scores_gemma":[0.0001712333,0.001917104,0.08343646,0.003307671,0.0002220999,0.004912927,0.1853434,0.003208592,0.004535759,0.05603493,0.6567478,0.000162045],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5722842,0.008161588,0.03879224,0.1868814,0.002236266,0.0003888263,0.0002850988,0.0006815562,0.1902889],"genre_scores_gemma":[0.9443035,0.005479378,0.02447061,0.01141919,0.0002851516,0.0002685732,0.0001758064,0.00007169248,0.01352621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01156056,"threshold_uncertainty_score":0.06113881,"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."}}