{"id":"W2823317946","doi":"10.2196/diabetes.9867","title":"The Phased Implementation of a National Telehealth Weight Management Program for Veterans: Mixed-Methods Program Evaluation","year":2018,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Quality Enhancement Research Initiative; Health Services Research and Development; U.S. Department of Veterans Affairs","keywords":"Telehealth; Program evaluation; Telemedicine; Medical education; Engineering management; Nursing; Medicine; Engineering; Political science; Health care; Public administration","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":[0.00285159,0.0001694713,0.0002523777,0.0001892644,0.000298659,0.00003150363,0.0001096589,0.00005500909,0.0001224224],"category_scores_gemma":[0.00009786925,0.0001216787,0.0001018657,0.0004131788,0.0001441012,0.0001133266,0.00001797021,0.00008047716,0.000004919688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001763589,"about_ca_system_score_gemma":0.0002650033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001525024,"about_ca_topic_score_gemma":0.00005370291,"domain_scores_codex":[0.9974997,0.0002156079,0.0007370333,0.0002997288,0.000765166,0.0004827373],"domain_scores_gemma":[0.9979416,0.0003278599,0.0003770868,0.0002320064,0.001006805,0.0001146054],"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":[0.00011405,0.0003691619,0.008196066,0.0004835453,0.0001584055,1.27096e-7,0.0003886337,1.027033e-7,0.001106625,0.0006380841,0.009712647,0.9788325],"study_design_scores_gemma":[0.01428264,0.01254343,0.317589,0.0001779215,0.0004510271,0.00000341728,0.002805193,0.003296231,0.03879661,0.002778039,0.6070235,0.0002529533],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575636,0.0004362571,0.002701459,0.00482492,0.0007794681,0.03217934,0.00006582773,0.0002504485,0.001198693],"genre_scores_gemma":[0.8593075,0.00004963009,0.1113872,0.0006547473,0.0007905422,0.02705598,0.0006699834,0.00003459122,0.00004974252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9785796,"threshold_uncertainty_score":0.4961912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04636478028033785,"score_gpt":0.5133610496974572,"score_spread":0.4669962694171194,"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."}}