{"id":"W4401082966","doi":"10.1038/s41467-024-49956-w","title":"Author Correction: Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines","year":2024,"lang":"en","type":"erratum","venue":"Nature Communications","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; University of Toronto; Hospital for Sick Children; Public Health Ontario; Genome Canada; Ottawa Hospital","funders":"","keywords":"Concordance; Consolidated Standards of Reporting Trials; Psychological intervention; Medicine; Internal medicine; Psychiatry","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2153431,0.005509501,0.01107935,0.01391621,0.004618805,0.01181959,0.00870326,0.01353936,0.1042361],"category_scores_gemma":[0.7968212,0.005729598,0.01191178,0.0146749,0.006541868,0.006502039,0.006277569,0.01853611,0.02870981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0115735,"about_ca_system_score_gemma":0.0215508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004813689,"about_ca_topic_score_gemma":0.006269784,"domain_scores_codex":[0.6217094,0.1879658,0.1253909,0.01698528,0.04416889,0.003779805],"domain_scores_gemma":[0.2806762,0.4767722,0.0601396,0.04519129,0.1338033,0.003417372],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001137272,0.00002840996,0.0002759209,0.04657397,0.001599983,0.0002492058,0.0005225658,0.0003083297,0.0001728679,0.005254319,0.9211432,0.02273387],"study_design_scores_gemma":[0.008802535,0.0002594557,0.002558646,0.1064954,0.004862179,0.0007800819,0.0004192505,0.003113308,0.001267163,0.03695504,0.8338852,0.0006016789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0005421579,0.008214924,0.04361041,0.06226943,0.8154309,0.02059753,0.04009273,0.003676917,0.005565028],"genre_scores_gemma":[0.03859296,0.01834022,0.2464614,0.1099278,0.1534249,0.3197224,0.02654488,0.01141226,0.07557326],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7846569,"threshold_uncertainty_score":0.9676217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5196219908810371,"score_gpt":0.5727572585339051,"score_spread":0.05313526765286802,"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."}}