{"id":"W4412396400","doi":"10.2196/80519","title":"Correction: Large Language Model–Assisted Risk-of-Bias Assessment in Randomized Controlled Trials Using the Revised Risk-of-Bias Tool: Evaluation Study","year":2025,"lang":"en","type":"erratum","venue":"Journal of Medical Internet Research","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"JMIR Publications","funders":"","keywords":"Randomized controlled trial; Computer science; Risk assessment; Psychology; Data mining; Medicine; Medical physics; Computer security","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":[],"category_scores_codex":[0.1220293,0.006375811,0.009630573,0.009240213,0.003544462,0.009731237,0.008666988,0.01216642,0.1690429],"category_scores_gemma":[0.6921347,0.004608402,0.009345726,0.01127117,0.005562474,0.005489467,0.004578845,0.01569405,0.03641028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01005526,"about_ca_system_score_gemma":0.01898483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01095516,"about_ca_topic_score_gemma":0.01759679,"domain_scores_codex":[0.8422342,0.07755239,0.04083171,0.00893834,0.02696104,0.003482296],"domain_scores_gemma":[0.4591937,0.3396665,0.04027646,0.0332812,0.1228716,0.004710666],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009684184,0.00001975501,0.0003900471,0.009181943,0.001172781,0.0002861843,0.0001731496,0.0002555329,0.0001113772,0.002372285,0.9720215,0.01304709],"study_design_scores_gemma":[0.01310234,0.0004553271,0.006495546,0.03890158,0.008410214,0.002389895,0.0004609442,0.007910123,0.001811242,0.03755272,0.8815436,0.0009664569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0007527506,0.006073108,0.02169855,0.0907077,0.8284341,0.002506436,0.03996115,0.005562079,0.004304012],"genre_scores_gemma":[0.08026288,0.01499534,0.1787122,0.2305412,0.2851838,0.03503725,0.02334353,0.02048034,0.1314436],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8779707,"threshold_uncertainty_score":0.6453604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1551637847947682,"score_gpt":0.5316779197303239,"score_spread":0.3765141349355556,"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."}}