{"id":"W4387169030","doi":"10.2196/42100","title":"Assessing the Content Validity, Acceptability, and Feasibility of the Hypo-METRICS App: Survey and Interview Study","year":2023,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Diabetes Victoria; Medizinische Universität Graz; Université de Lausanne; Karl-Franzens-Universität Graz; Syddansk Universitet; Novo Nordisk; Radboud Universitair Medisch Centrum; Università degli Studi di Padova; Deakin University; Sanofi; European Commission; Leona M. and Harry B. Helmsley Charitable Trust; King's College London; Juvenile Diabetes Research Foundation United States of America; European Federation of Pharmaceutical Industries and Associations; Abbott Laboratories; Abbott Diabetes Care; University of Dundee; Eli Lilly and Company","keywords":"Content validity; Content (measure theory); Psychology; Psychometrics; Mathematics; Clinical psychology","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":[0.01088812,0.0001621316,0.0004193692,0.00009192012,0.001207304,0.0000381722,0.0003527509,0.0001196596,0.00005311885],"category_scores_gemma":[0.002413386,0.00009061175,0.00005689338,0.001220782,0.0002528717,0.0001226349,0.0008069797,0.0005787461,0.00001660227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007871278,"about_ca_system_score_gemma":0.0002629053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005167746,"about_ca_topic_score_gemma":0.001097303,"domain_scores_codex":[0.993836,0.004057869,0.000852065,0.0004055116,0.0003099702,0.0005385536],"domain_scores_gemma":[0.9916077,0.006632031,0.000411472,0.0008527663,0.0002944305,0.0002015594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003602626,0.0001609434,0.9760964,0.0008631532,0.000009368267,5.345714e-8,0.0007738721,1.46075e-7,0.00001833133,0.00007340734,0.001540489,0.02046026],"study_design_scores_gemma":[0.0005087043,0.0000878954,0.9922503,0.00007030823,0.00002114572,1.134911e-7,0.004172686,0.0001104766,0.000006639899,0.0006058287,0.002091584,0.00007437362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869514,0.0005835185,0.000007754941,0.00274481,0.0003643396,0.008978368,0.00008590076,0.00008838968,0.0001955928],"genre_scores_gemma":[0.9941083,0.0002393358,0.00001919859,0.0008201224,0.00006145261,0.004591479,0.00001384818,0.00001813716,0.0001280964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02038589,"threshold_uncertainty_score":0.9285727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5113192165037671,"score_gpt":0.5278529171725748,"score_spread":0.01653370066880766,"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."}}