{"id":"W4409785689","doi":"10.2196/64114","title":"Real-Time, Risk-Based Clinical Trial Quality Management in China: Development of a Digital Monitoring Platform","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clinical trial; Interim analysis; Computer science; Beijing; Warning system; Data mining; Quality (philosophy); Medical physics; Medicine; China; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03585316,0.000782149,0.0008322285,0.005739831,0.0008781993,0.003261152,0.002239424,0.0006115571,0.001212225],"category_scores_gemma":[0.04167792,0.0005588716,0.0008188878,0.005080873,0.001310945,0.003093169,0.00316954,0.0008563502,0.0003839733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004713262,"about_ca_system_score_gemma":0.01240008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01233679,"about_ca_topic_score_gemma":0.007633705,"domain_scores_codex":[0.9840727,0.005598682,0.002840851,0.002049885,0.004931462,0.0005064214],"domain_scores_gemma":[0.9499437,0.01377025,0.01085046,0.007518364,0.01506616,0.002851063],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001212729,0.0005280679,0.1979542,0.001333509,0.0002443944,0.0004503867,0.002947814,0.02897164,0.01248688,0.007274952,0.01640503,0.7301905],"study_design_scores_gemma":[0.001098681,0.002156909,0.3436646,0.000790062,0.0007764977,0.0005491855,0.001854859,0.5146804,0.0383742,0.0224358,0.07307357,0.0005452626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5131997,0.004048937,0.4344352,0.0102112,0.0003742269,0.006544519,0.00704662,0.01215586,0.01198356],"genre_scores_gemma":[0.7226223,0.001360803,0.2662672,0.0007529465,0.0001871847,0.00237045,0.004637531,0.0002353393,0.001566228],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9641469,"threshold_uncertainty_score":0.1896119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4100785976436511,"score_gpt":0.5959397820952466,"score_spread":0.1858611844515955,"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."}}