{"id":"W33641717","doi":"10.2196/med20.4349","title":"mHealth: Don’t Forget All the Stakeholders in the Business Case","year":2015,"lang":"en","type":"article","venue":"Medicine 2 0","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. National Library of Medicine; National Institutes of Health","keywords":"mHealth; Health care; Stakeholder; Business; Context (archaeology); Public relations; Internet privacy; Government (linguistics); Knowledge management; Marketing; Computer science; Political science; Economics; Economic growth","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":[0.0311786,0.001808957,0.00133017,0.002099887,0.02588581,0.02749006,0.004129253,0.0293662,0.01596039],"category_scores_gemma":[0.06984057,0.001435333,0.001501449,0.001481046,0.03070348,0.05560256,0.0210533,0.04137737,0.007901656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007794069,"about_ca_system_score_gemma":0.01619343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006119364,"about_ca_topic_score_gemma":0.00721985,"domain_scores_codex":[0.958234,0.02687885,0.00117133,0.002052504,0.007848858,0.003814447],"domain_scores_gemma":[0.9528756,0.02261669,0.001954084,0.002907301,0.006413873,0.01323248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001738602,0.0005219587,0.003244502,0.0006091095,0.00006131001,0.01409145,0.06605905,0.0003306249,0.00109526,0.3802127,0.4590376,0.07456261],"study_design_scores_gemma":[0.00009667933,0.0001412913,0.0004760384,0.001550565,0.00004205584,0.007987649,0.06205643,0.0008212979,0.0005845776,0.193353,0.7327658,0.0001247073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00288376,0.003161912,0.00606533,0.9461033,0.004708213,0.0001191792,0.00002110914,0.00008940541,0.03684771],"genre_scores_gemma":[0.2601646,0.0120157,0.04130343,0.6058269,0.009219279,0.0009508972,0.0001244468,0.0005026283,0.06989219],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0311786,"threshold_uncertainty_score":0.1648901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3738305400784915,"score_gpt":0.4929099098708308,"score_spread":0.1190793697923394,"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."}}