{"id":"W3201370370","doi":"10.2196/33385","title":"Correction: Predicting Health Material Accessibility: Development of Machine Learning Algorithms","year":2021,"lang":"en","type":"erratum","venue":"JMIR Medical Informatics","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Machine learning; Algorithm; Artificial intelligence; Data science","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":[0.007241942,0.003124048,0.002126811,0.005363296,0.004024022,0.004755459,0.004527273,0.009062061,0.06949415],"category_scores_gemma":[0.1470662,0.001453575,0.002381488,0.00375125,0.003532078,0.003357931,0.002510363,0.01248629,0.03774837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004663486,"about_ca_system_score_gemma":0.008663277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03558713,"about_ca_topic_score_gemma":0.03548343,"domain_scores_codex":[0.99123,0.001724986,0.001813677,0.0009988208,0.003722966,0.0005094822],"domain_scores_gemma":[0.920783,0.02503206,0.003045494,0.004389964,0.04469394,0.002055579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002708808,0.000004200939,0.00007687625,0.0001310681,0.00001292682,0.0001973676,0.00003432428,0.00004906304,0.00002556392,0.0007518184,0.993642,0.00504761],"study_design_scores_gemma":[0.00007701499,0.00002740298,0.0006975001,0.0008957847,0.00008103147,0.001118531,0.0001586545,0.0006802566,0.0004285303,0.003725829,0.9920396,0.00006993061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001799477,0.001111968,0.001694603,0.07753717,0.9130445,0.00004306348,0.002773383,0.0005410161,0.003074387],"genre_scores_gemma":[0.02699282,0.01515773,0.01875148,0.1837006,0.5015522,0.0005093282,0.006492225,0.003832704,0.243011],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06949415,"threshold_uncertainty_score":0.2324811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08067219407755556,"score_gpt":0.4532983194302451,"score_spread":0.3726261253526895,"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."}}