{"id":"W4405350243","doi":"10.1038/s41591-024-03200-6","title":"Exploring patient and public participation in the STANDING Together initiative for AI in healthcare","year":2024,"lang":"en","type":"article","venue":"Nature Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Health care; Public health; Public healthcare; Public relations; Medicine; Business; Nursing; 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":[0.03819998,0.0004081276,0.000383115,0.001787411,0.01919215,0.01551384,0.002386371,0.00599238,0.01231226],"category_scores_gemma":[0.0677965,0.0004369567,0.0005978696,0.001677952,0.01244936,0.01059449,0.01600624,0.01058596,0.001260588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008597312,"about_ca_system_score_gemma":0.01386391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01399849,"about_ca_topic_score_gemma":0.01923478,"domain_scores_codex":[0.9499266,0.03721097,0.0006448208,0.00135685,0.003489542,0.007371241],"domain_scores_gemma":[0.9208442,0.04677695,0.005453025,0.002832797,0.005455532,0.01863757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005697723,0.001859669,0.07317497,0.0001266828,0.0000739459,0.0005518023,0.7614122,0.0002476078,0.0007791626,0.09659685,0.0200661,0.04454119],"study_design_scores_gemma":[0.000060145,0.000257046,0.02199198,0.0001659106,0.00003379677,0.0001399985,0.887759,0.0007830542,0.0004022879,0.02242598,0.06592951,0.00005136298],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8175683,0.0002290704,0.002311136,0.07303374,0.00042215,0.0001512304,0.0001165497,0.00005377125,0.1061141],"genre_scores_gemma":[0.9909637,0.00006241863,0.0003408975,0.003533668,0.00007295856,0.00008159392,0.00004671423,0.00003118865,0.004866772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03819998,"threshold_uncertainty_score":0.2020232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4578846170835409,"score_gpt":0.5119974801248512,"score_spread":0.05411286304131036,"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."}}