{"id":"W2896668475","doi":"10.2196/11414","title":"Prescription and Integration of Accredited Mobile Apps in Catalan Health and Social Care: Protocol for the AppSalut Site Design","year":2018,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Catalan; Government (linguistics); Health care; Public relations; Social Welfare; Public health; Information and Communications Technology; Business; Medicine; Public administration; Political science; Nursing; World Wide Web; Computer 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":[0.0772185,0.00158005,0.001737377,0.004576218,0.004264983,0.004627258,0.002147282,0.005032801,0.04594151],"category_scores_gemma":[0.05106633,0.001754885,0.003215228,0.002843164,0.004370004,0.002319609,0.004872018,0.004668208,0.01864162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009796366,"about_ca_system_score_gemma":0.02926033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00574578,"about_ca_topic_score_gemma":0.007313155,"domain_scores_codex":[0.9605612,0.0241259,0.007260244,0.002077496,0.004057768,0.001917325],"domain_scores_gemma":[0.9349443,0.02273814,0.004197702,0.009288542,0.02643453,0.002396788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.03400028,0.01324803,0.01753835,0.04842244,0.000515425,0.002901345,0.03649317,0.006199341,0.01688587,0.07974233,0.227872,0.5161814],"study_design_scores_gemma":[0.009802202,0.006024609,0.02014297,0.01763369,0.0004179701,0.0005403993,0.01045886,0.001955343,0.009677378,0.007326864,0.9155459,0.0004737934],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.01269303,0.0007499431,0.02220067,0.001166735,0.0005765797,0.9367508,0.006547695,0.0004940853,0.01882042],"genre_scores_gemma":[0.00555786,0.0005027447,0.02619699,0.0004280059,0.00007311293,0.9609398,0.001914717,0.00005968613,0.004327186],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.0772185,"threshold_uncertainty_score":0.4083753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4117269187576943,"score_gpt":0.6484959427156768,"score_spread":0.2367690239579825,"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."}}