{"id":"W4391726350","doi":"10.2196/53995","title":"Evaluation of an mHealth App on Self-Management of Osteoporosis: Prospective Survey Study","year":2024,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Klinisk Institut, Syddansk Universitet; Syddansk Universitet; Swinburne University of Technology; Union Chimique Belge","keywords":"mHealth; Mobile apps; Osteoporosis; Self-management; Medicine; Psychology; Computer science; World Wide Web; Artificial intelligence; Nursing; Psychological intervention; Internal medicine","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":[0.008637026,0.0003899593,0.0006645945,0.001366144,0.00112268,0.001172377,0.0004402778,0.0009273739,0.001427062],"category_scores_gemma":[0.01196322,0.0007937715,0.001683856,0.001505388,0.0004999471,0.001201599,0.0009732994,0.001323725,0.0007093712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009809129,"about_ca_system_score_gemma":0.001733425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007191098,"about_ca_topic_score_gemma":0.00865586,"domain_scores_codex":[0.9957183,0.001726025,0.0007781207,0.0003252993,0.001060046,0.00039217],"domain_scores_gemma":[0.9899209,0.003228212,0.002715962,0.000489115,0.002510068,0.001135849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003663285,0.002178662,0.9883966,0.0001592334,0.0001617049,0.00009299161,0.001950332,0.00005747445,0.0001617988,0.00002175277,0.0002606147,0.006192374],"study_design_scores_gemma":[0.000107905,0.00398287,0.9920382,0.00005954218,0.0001150359,0.0001559371,0.002370328,0.0002811931,0.0001180844,0.00001316301,0.0007362558,0.00002140324],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980361,0.00012963,0.00013563,0.00005642922,0.000008611697,0.0005641509,0.0005268449,0.000006245945,0.0005364055],"genre_scores_gemma":[0.9963884,0.0003326699,0.0007928271,0.0001918097,0.00001597129,0.0009771433,0.0008684766,0.000006184246,0.0004265228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008637026,"threshold_uncertainty_score":0.04567748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2350716254178765,"score_gpt":0.6347047753710974,"score_spread":0.3996331499532209,"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."}}