{"id":"W4289793429","doi":"10.2196/41424","title":"Correction: The Science of Learning Health Systems: Scoping Review of Empirical Research","year":2022,"lang":"en","type":"erratum","venue":"JMIR Medical Informatics","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data science; Computer science; Empirical research; Knowledge management; Management science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1111357,0.0001813089,0.001038092,0.0008621758,0.001008081,0.0001737804,0.002982083,0.0002063618,0.006663857],"category_scores_gemma":[0.02837878,0.000102921,0.0001689799,0.005512807,0.001568812,0.0004441496,0.001194457,0.003713594,0.0001036972],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003983158,"about_ca_system_score_gemma":0.02841452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000359352,"about_ca_topic_score_gemma":0.00001148344,"domain_scores_codex":[0.9632435,0.002263046,0.004620761,0.000279285,0.0290255,0.0005679026],"domain_scores_gemma":[0.9883503,0.004512398,0.00290701,0.001079178,0.002815902,0.0003351833],"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":[0.000003702426,0.00003436281,0.00004882391,0.01308554,0.000007426007,3.945934e-7,0.003954973,0.0001086196,4.134136e-8,0.0001582118,0.9684693,0.01412857],"study_design_scores_gemma":[0.0001515887,0.000481866,0.00009041579,0.1265718,0.000008954508,0.00003337016,0.02355534,0.1111514,0.000001487663,0.00003849837,0.7377805,0.0001346859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.0004270941,0.1175224,0.001851535,0.03086771,0.1189474,0.00951776,0.00005383571,0.0001278492,0.7206845],"genre_scores_gemma":[0.01043063,0.5434178,0.0009122892,0.01955858,0.00499537,0.002543333,0.0006039439,0.0001349251,0.4174031],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4258955,"threshold_uncertainty_score":0.9985849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.428233754616679,"score_gpt":0.640756310504439,"score_spread":0.21252255588776,"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."}}