{"id":"W3020986355","doi":"10.2196/18516","title":"Correction: Use of Health Apps by Nurses for Professional Purposes: Web-Based Survey Study","year":2020,"lang":"en","type":"erratum","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Web survey; World Wide Web; Medical education; Computer science; Psychology; Data science; Medicine; Internet privacy","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":[0.01072564,0.002932646,0.002234799,0.00487635,0.004284937,0.004520395,0.004078928,0.008203293,0.04683112],"category_scores_gemma":[0.1689456,0.00142274,0.00198661,0.003856714,0.002576775,0.003074854,0.002768563,0.01154009,0.02552424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006067558,"about_ca_system_score_gemma":0.01204808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05870749,"about_ca_topic_score_gemma":0.05895161,"domain_scores_codex":[0.9859375,0.002719437,0.003439724,0.001363668,0.005653302,0.0008862556],"domain_scores_gemma":[0.9034945,0.03152975,0.005336125,0.004099153,0.05243227,0.003108106],"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":[0.00002599819,0.000007033206,0.000156678,0.0001479754,0.00001069939,0.0001649391,0.00005991003,0.00001731531,0.00001464713,0.0002734092,0.9960142,0.003107083],"study_design_scores_gemma":[0.0001222605,0.00004526738,0.002811031,0.00240672,0.00009235788,0.00090417,0.0005252153,0.0003750156,0.0003183818,0.001531773,0.9907602,0.000107519],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.0002656452,0.0006996103,0.0005417488,0.08906773,0.9043092,0.00005247333,0.002683169,0.0003354749,0.002044967],"genre_scores_gemma":[0.0287996,0.01233065,0.007858814,0.3621354,0.3705408,0.001211586,0.007714687,0.002952408,0.206456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05870749,"threshold_uncertainty_score":0.1566657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1521871504562357,"score_gpt":0.4901709425894308,"score_spread":0.3379837921331951,"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."}}