{"id":"W4409941151","doi":"10.1177/20552076251339597","title":"Advancing pediatric care through OpenAI’s Sora","year":2025,"lang":"en","type":"article","venue":"Digital Health","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Psychology","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":[0.0001852312,0.0001776794,0.0004613138,0.0001081318,0.000144468,0.00006892093,0.0001373918,0.00006421962,0.00003935931],"category_scores_gemma":[0.0002067881,0.0001730488,0.0001163268,0.0004944732,0.00003508777,0.0003656582,0.000104275,0.0002478827,0.0001413568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004085736,"about_ca_system_score_gemma":0.00163417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005554103,"about_ca_topic_score_gemma":0.000206795,"domain_scores_codex":[0.9982753,0.00003624119,0.0004870775,0.0003834243,0.0003341351,0.0004838002],"domain_scores_gemma":[0.9989732,0.0001188597,0.0001210173,0.0004442729,0.0001118736,0.0002307699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006015082,0.001097013,0.4411007,0.01899491,0.000180898,0.00008475899,0.03860317,0.00003710871,0.000005366966,0.0104629,0.2668961,0.2219355],"study_design_scores_gemma":[0.007486663,0.001857154,0.1540837,0.002055147,0.000138559,0.00006292476,0.0303866,0.00002573698,0.0002151871,0.004657517,0.7981108,0.0009200817],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6400666,0.03939221,0.00454498,0.073278,0.002459131,0.002626152,0.000330298,0.0008347431,0.2364679],"genre_scores_gemma":[0.9783821,0.0004265608,0.0007414946,0.01829848,0.0004771053,0.00001791129,0.0001630626,0.00002847248,0.001464835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5312147,"threshold_uncertainty_score":0.7056726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02009633757799033,"score_gpt":0.3696383085453436,"score_spread":0.3495419709673532,"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."}}