{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03893812,0.001442705,0.001495658,0.001834292,0.002493236,0.002433797,0.001516219,0.002065714,0.003873278],"category_scores_gemma":[0.05551952,0.001148484,0.002028167,0.001424946,0.000971217,0.00283138,0.001635158,0.001781019,0.001519251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001779306,"about_ca_system_score_gemma":0.004370533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009126819,"about_ca_topic_score_gemma":0.01044228,"domain_scores_codex":[0.9722153,0.0184641,0.003088828,0.001868943,0.00307131,0.001291575],"domain_scores_gemma":[0.9499031,0.02087182,0.01021218,0.00415744,0.01113319,0.003722265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05229162,0.218177,0.5903865,0.003018997,0.002219001,0.0003735019,0.01146521,0.0009716103,0.001446113,0.0002296616,0.003429659,0.1159912],"study_design_scores_gemma":[0.03096788,0.364887,0.5753778,0.001164103,0.001885813,0.0003415313,0.01050119,0.006073161,0.001613525,0.0003253995,0.006567935,0.0002945758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971159,0.0004298362,0.001982354,0.0001651894,0.00007986736,0.02276546,0.001579182,0.00006266345,0.001776387],"genre_scores_gemma":[0.929225,0.0007742816,0.01026547,0.0008272491,0.0002265111,0.05504087,0.002067133,0.00004923267,0.001524253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03893812,"threshold_uncertainty_score":0.2059269,"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."}}