{"id":"W2916914242","doi":"10.1016/j.imu.2019.02.004","title":"Exploration of benefits realisation management for teledermatology scale-up framework development and sustainable scaling","year":2019,"lang":"en","type":"article","venue":"Informatics in Medicine Unlocked","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Inyuvesi Yakwazulu-Natali","keywords":"eHealth; Teledermatology; Telemedicine; Telehealth; Scale (ratio); Bespoke; Psychological intervention; Medicine; Business; Knowledge management; Health care; Process management; Nursing; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00979642,0.0001377737,0.000758009,0.0006246868,0.00009192392,0.00001947022,0.0001442884,0.0001445195,0.00004148563],"category_scores_gemma":[0.001159846,0.0001568184,0.00002527708,0.000226748,0.00005921955,0.0006788112,0.00005970821,0.0001091792,0.00005607811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002768289,"about_ca_system_score_gemma":0.0000587141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009080165,"about_ca_topic_score_gemma":0.00002296481,"domain_scores_codex":[0.9952945,0.00005462524,0.004034319,0.0001748615,0.0001083942,0.0003332946],"domain_scores_gemma":[0.9972179,0.0007122359,0.001614144,0.0002746167,0.0001116408,0.00006948326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003902904,0.00003324459,0.02180548,0.005354237,0.00004634973,2.498632e-7,0.06404804,0.001883886,3.779307e-7,0.9025806,0.001817102,0.002391445],"study_design_scores_gemma":[0.01085538,0.0004228667,0.02915787,0.003797993,0.00004255232,0.0000131757,0.3934291,0.1180802,0.0001928988,0.3225671,0.1203449,0.001096018],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8334821,0.0005873538,0.1500336,0.006955006,0.0005775526,0.002441131,0.00001601824,0.00003162776,0.005875648],"genre_scores_gemma":[0.9,0.0002636007,0.09494639,0.003632732,0.00009758247,0.0003040118,0.0001446852,0.00002577562,0.0005851679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5800135,"threshold_uncertainty_score":0.6394869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2259496873817468,"score_gpt":0.4027808925598506,"score_spread":0.1768312051781037,"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."}}