{"id":"W7065741047","doi":"","title":"Exploring Engagement of Patients with Diabetes via mHealth Applications: A Mixed-Methods Study with Primary Care Providers","year":2023,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"mHealth; Enabling; Equity (law); Health equity; Telehealth; Health care; Primary care; Community health; Survey data collection; Alliance","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01548504,0.0004388443,0.001021783,0.001457496,0.004087901,0.003144467,0.001151906,0.001589459,0.004037884],"category_scores_gemma":[0.0232762,0.001233448,0.0009194714,0.001497025,0.001561776,0.0029085,0.002571617,0.002045932,0.0006285099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002649597,"about_ca_system_score_gemma":0.004648773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01093434,"about_ca_topic_score_gemma":0.02036138,"domain_scores_codex":[0.9911451,0.005765399,0.0005895129,0.0007690758,0.0007929389,0.0009380558],"domain_scores_gemma":[0.9849895,0.01040405,0.001502069,0.0005778618,0.001476695,0.001049836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009154013,0.007560305,0.2897325,0.001760469,0.0002940478,0.001256897,0.6451039,0.0001110926,0.001198069,0.001082054,0.002814946,0.04817025],"study_design_scores_gemma":[0.0005973883,0.007578086,0.2028499,0.001857217,0.0002511207,0.0007674701,0.7752047,0.0006054633,0.0005634886,0.0009526594,0.008656465,0.0001162535],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956595,0.00062526,0.0005645998,0.0007410439,0.00002727087,0.00101321,0.000185917,0.000003481432,0.001179709],"genre_scores_gemma":[0.9897614,0.001108317,0.001738377,0.002707353,0.00006955743,0.003364623,0.0001426001,0.000008301019,0.001099478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01548504,"threshold_uncertainty_score":0.08189368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849026762034378,"score_gpt":0.1948917521062144,"score_spread":0.1764014844858706,"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."}}