{"id":"W4410003881","doi":"10.2196/59631","title":"Predicting Transvaginal Surgical Mesh Exposure Outcomes Using an Integrated Dataset of Blood Cytokine Levels and Medical Record Data: Machine Learning Approach","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Pelvic floor disorders treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Computer science; Medical record; Surgery","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":[],"consensus_categories":[],"category_scores_codex":[0.003521602,0.0008833724,0.0009466606,0.004258654,0.0003524423,0.001335097,0.001023431,0.001375653,0.0006714058],"category_scores_gemma":[0.01061235,0.0002880764,0.001308082,0.002398096,0.0004166786,0.0008318448,0.001084966,0.001107433,0.0003172831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008563742,"about_ca_system_score_gemma":0.001347627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005712396,"about_ca_topic_score_gemma":0.006172711,"domain_scores_codex":[0.997745,0.0008916428,0.0003214751,0.0005864038,0.00031582,0.0001396081],"domain_scores_gemma":[0.9894202,0.006224514,0.001834412,0.001054783,0.001085251,0.0003808289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001419841,0.002673754,0.819813,0.0006038078,0.001186329,0.0005614004,0.000207843,0.06360579,0.00306079,0.0003580267,0.004740911,0.1017685],"study_design_scores_gemma":[0.0001663388,0.001113116,0.385734,0.0001853977,0.0004351263,0.000651808,0.0003902121,0.6039412,0.003234736,0.001272158,0.002788376,0.0000875734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9475409,0.0010486,0.02152312,0.001051367,0.00009799777,0.0004806429,0.02689197,0.0005239196,0.0008415313],"genre_scores_gemma":[0.9201993,0.0003391966,0.03389972,0.0001535935,0.00010491,0.0003858799,0.04463316,0.00001071457,0.0002735028],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005712396,"threshold_uncertainty_score":0.01862425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1135374061920706,"score_gpt":0.4329535852142025,"score_spread":0.3194161790221319,"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."}}