{"id":"W3003526078","doi":"10.1016/j.ijmedinf.2020.104084","title":"Corrigendum to “Patient perspectives on the linkage of health data for research: Insights from an online patient community questionnaire” [Int. J. Med. Inform. 127 (2019) 9–17]","year":2020,"lang":"en","type":"erratum","venue":"International Journal of Medical Informatics","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Linkage (software); INT; Medicine; Psychology; Data science; Medical education; Computer science","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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003572379,0.0003398532,0.0008886527,0.0007006865,0.0002121685,0.0001546383,0.003538964,0.0003424814,0.0002825542],"category_scores_gemma":[0.01142051,0.0002217503,0.0002264483,0.0002771596,0.0004042439,0.0005330503,0.001536659,0.004320144,0.00001710994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009332044,"about_ca_system_score_gemma":0.004971775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006360908,"about_ca_topic_score_gemma":0.0002796014,"domain_scores_codex":[0.988879,0.0006469692,0.002822057,0.0001848939,0.007119714,0.000347333],"domain_scores_gemma":[0.9921303,0.0008707316,0.002209194,0.001195615,0.002788451,0.00080574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007842787,0.001315356,0.000006376522,0.0004024311,0.001013446,0.00004036476,0.02972334,0.00003243128,2.536274e-7,0.003079917,0.9346853,0.02891653],"study_design_scores_gemma":[0.001842637,0.005436944,0.000450485,0.009233174,0.000157349,0.00003273,0.09386456,0.01333116,0.000004701114,0.001024616,0.8744028,0.0002189026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07899256,0.02219829,0.02856024,0.6416914,0.1494353,0.01373178,0.02493312,0.000307261,0.04014998],"genre_scores_gemma":[0.4972739,0.07370033,0.02472496,0.2040833,0.04280885,0.000314041,0.1433491,0.0006906853,0.01305484],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4376081,"threshold_uncertainty_score":0.997977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3133862461149248,"score_gpt":0.4674275947075919,"score_spread":0.1540413485926671,"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."}}