{"id":"W3160701980","doi":"10.2196/28309","title":"Evaluation of Web-Based and In-Person Methods to Recruit Adults With Type 1 Diabetes for a Mobile Exercise Intervention: Prospective Observational Study","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Nursing Research; National Institutes of Health; Robert E. Leet and Clara Guthrie Patterson Trust; U.S. Department of Veterans Affairs","keywords":"Snowball sampling; Intervention (counseling); Medicine; Observational study; Family medicine; Social media; Gerontology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003801342,0.0001558081,0.0004127709,0.0001695782,0.0002465767,0.000008400244,0.00008878687,0.0001080425,0.0001949522],"category_scores_gemma":[0.0007744792,0.0001401262,0.00004206255,0.0007771317,0.00003172236,0.00009505697,0.00003747881,0.0002096075,0.000007258169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002343584,"about_ca_system_score_gemma":0.001234142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002388274,"about_ca_topic_score_gemma":0.0005664274,"domain_scores_codex":[0.9971696,0.0009449859,0.000604615,0.0004767219,0.0003816655,0.00042238],"domain_scores_gemma":[0.9960088,0.001036853,0.0002795753,0.0003236,0.002163935,0.0001872207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003536233,0.0009704051,0.8839883,0.001817875,0.0000335061,1.409608e-7,0.002589741,0.00009289911,0.0007057578,0.00008013518,0.0007038863,0.1086637],"study_design_scores_gemma":[0.007891605,0.001651626,0.9679575,0.001863473,0.0001570739,3.919044e-8,0.006907231,0.009072343,0.001507332,0.0004897983,0.002308751,0.0001932042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750687,0.001172817,0.00009825706,0.0004378002,0.0001536906,0.02284507,0.00006063575,0.00003887723,0.0001241478],"genre_scores_gemma":[0.8207837,0.00001524043,0.01248894,0.0003073252,0.0000554807,0.1661353,0.00009913952,0.00002466325,0.00009017767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.154285,"threshold_uncertainty_score":0.5714182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1683917811202019,"score_gpt":0.5144531901890323,"score_spread":0.3460614090688304,"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."}}