{"id":"W4251868187","doi":"10.2196/29325","title":"Correction: A Novel Remote Follow-Up Tool Based on an Instant Messaging/Social Media App for the Management of Patients With Low Anterior Resection Syndrome: Pilot Prospective Self-Control Study","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Instant messaging; Computer science; mHealth; Self-management; Paragraph; Text messaging; World Wide Web; Multimedia; Medicine; Artificial intelligence; Nursing","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":[0.01152137,0.001824882,0.001888574,0.002016421,0.002927867,0.003320182,0.003464672,0.01045108,0.04386907],"category_scores_gemma":[0.2071465,0.0009252204,0.002357234,0.001539854,0.002785665,0.002276399,0.002002857,0.01358616,0.02360076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003995415,"about_ca_system_score_gemma":0.008899666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02108999,"about_ca_topic_score_gemma":0.0165218,"domain_scores_codex":[0.9873838,0.002531155,0.002986289,0.001333971,0.004953498,0.0008111504],"domain_scores_gemma":[0.875614,0.03999956,0.006875427,0.004805929,0.07008394,0.002621166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001538677,0.00001661137,0.0001894524,0.0004999412,0.00003139755,0.000374262,0.0001510415,0.00003910005,0.00008383091,0.0005618292,0.9905459,0.007352842],"study_design_scores_gemma":[0.0004675512,0.0001413167,0.002726356,0.003156378,0.0002318204,0.001619004,0.0006659104,0.0008107051,0.001116607,0.002160455,0.9867312,0.00017276],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.0005205933,0.001067159,0.001554679,0.1508508,0.8406451,0.0001353735,0.002394677,0.0008603558,0.001971169],"genre_scores_gemma":[0.04219477,0.008767114,0.01632188,0.4844865,0.3030229,0.002045269,0.003445659,0.002860916,0.1368551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04386907,"threshold_uncertainty_score":0.1467567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03418873265085012,"score_gpt":0.3805745632595031,"score_spread":0.346385830608653,"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."}}