{"id":"W2801400962","doi":"10.2196/10512","title":"Supply and Demand in mHealth Apps for Persons With Multiple Sclerosis: Systematic Search in App Stores and Scoping Literature Review","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; App store; Inter-rater reliability; Smartphone app; Medicine; Computer science; World Wide Web; Internet privacy; Psychology; Nursing; Psychological intervention","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":[],"consensus_categories":[],"category_scores_codex":[0.002743767,0.0003166606,0.001289784,0.0004564947,0.0004144414,0.00006637622,0.0000838694,0.0001363698,0.00000342232],"category_scores_gemma":[0.000538488,0.0002247492,0.0000333983,0.0006219098,0.000355598,0.0001698002,0.00008838761,0.0005374961,0.000001263015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002066322,"about_ca_system_score_gemma":0.0005619656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004342264,"about_ca_topic_score_gemma":0.003716085,"domain_scores_codex":[0.9966429,0.0004182708,0.0007510249,0.0007172391,0.0004374182,0.001033177],"domain_scores_gemma":[0.9978473,0.0006674945,0.000176102,0.0003178414,0.0002097021,0.0007815168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.0009599827,0.0001623743,0.1926612,0.791306,0.00002802648,0.0000107571,0.00877797,3.12689e-7,0.00005485741,0.00005442625,0.0007319395,0.005252256],"study_design_scores_gemma":[0.006577984,0.002096231,0.5624143,0.4250422,0.00007439199,0.00007940035,0.001964374,0.001420393,0.00001087915,0.000008894306,0.0000822592,0.0002286886],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7072192,0.2772154,0.00004402211,0.005928846,0.0000329479,0.00942848,0.00006282689,0.00003797644,0.00003022153],"genre_scores_gemma":[0.7582563,0.2373117,0.001609384,0.001483758,0.000114406,0.001134098,0.00002340005,0.00003340708,0.0000335899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3697532,"threshold_uncertainty_score":0.9165007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1118396776458856,"score_gpt":0.4111949365409442,"score_spread":0.2993552588950587,"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."}}